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9,697,490 | 1 | 10 | 1. A system, comprising: a set of one or more interfaces configured to: receive review data associated with a plurality of entities, wherein each of the entities is associated with a particular industry, and wherein the review data comprises review data collected, over a network, from a plurality of disparate, external review websites; wherein the review data is collected by a plurality of instances of different types of helpers that are executed to obtain, over the network, information from the plurality of disparate, external review websites, wherein each type of helper is configured with instructions to fetch review data from a particular type of source, wherein, for a first external review website for which review data is available via an Application Programming Interface (API), an instance of a first helper configured with instructions to obtain review data from the first external review website using the API is executed, and wherein, for a second external review website for which review data is not available via an API, an instance of a second helper configured with instructions to scrape review data from the second external review website is executed; and wherein at least some of the received review data is received from a data store configured to store heterogeneous data records, and wherein the data store includes review data from different external review websites that is stored in heterogeneous record formats; a set of one or more processors configured to: generate, from at least a portion of the received review data collected, over the network, from the plurality of disparate, external review websites, at least one online review benchmark for the particular industry, including by determining at least one of an online review volume benchmark and an online review distribution benchmark, wherein: the online review volume benchmark is determined at least in part by counting a first number of reviews associated with at least some entities in the particular industry on the plurality of disparate, external review websites; and the online review distribution benchmark is determined at least in part by determining, for at least the first and second external review websites included in the plurality of disparate, external review websites, a respective proportion of reviews associated with at least some entities in the particular industry on the respective external review websites; and store the generated at least one online review benchmark for the particular industry; compare, at a time subsequent to generating the at least one online review benchmark for the particular industry, review data associated with a first entity in the particular industry to the stored industry benchmark, including by comparing at least one of an online review volume of the first entity to the online review volume benchmark for the particular industry and an online review distribution of the first entity to the online review distribution benchmark for the particular industry; determine, based at least in part on the comparison of the review data associated with the first entity in the particular industry to the stored industry benchmark, that an adjustment to the online review distribution of the first entity should be performed, wherein the adjustment includes increasing a number of reviews associated with the first entity on one or more external review websites; model an impact that additional reviews on the one or more external review websites would have for the first entity, wherein modeling the impact includes: running a first simulation in which a first volume of additional positive reviews are obtained on the first external review website; determining a first modeled online reputation score based at least in part on the first simulation; running a second simulation in which a second volume of additional positive reviews are obtained on the second external review website, wherein the first volume and the second volume are different; and determining a second modeled online reputation score based at least in part on the second simulation; determine, based at least in part on the first and second modeled online reputation scores, that additional reviews associated with the first external review website should be requested from one or more potential reviewers; in response to determining that additional reviews associated with the first external review website should be requested: identify, in a list of potential reviewers, individuals in the list of potential reviewers that have accounts with the first external review website for which it has been determined that additional reviews should be requested, wherein the identified individuals are identified based at least in part on an evaluation of corresponding email addresses associated with the identified individuals; and facilitate transmission of review requests to the identified individuals, wherein facilitating transmission of the review requests includes facilitating transmission, over the network, of an electronic message to an individual included in the identified individuals, wherein the electronic message includes a link to the first external review website; and at a time subsequent to transmission of the electronic message, perform a follow-up action based at least in part on a determination of whether the individual has performed at least one of opening the electronic message and clicking on the link included in the electronic message; and a memory coupled to the set of one or more processors and configured to provide the set of one or more processors with instructions. | 1. A system, comprising: a set of one or more interfaces configured to: receive review data associated with a plurality of entities, wherein each of the entities is associated with a particular industry, and wherein the review data comprises review data collected, over a network, from a plurality of disparate, external review websites; wherein the review data is collected by a plurality of instances of different types of helpers that are executed to obtain, over the network, information from the plurality of disparate, external review websites, wherein each type of helper is configured with instructions to fetch review data from a particular type of source, wherein, for a first external review website for which review data is available via an Application Programming Interface (API), an instance of a first helper configured with instructions to obtain review data from the first external review website using the API is executed, and wherein, for a second external review website for which review data is not available via an API, an instance of a second helper configured with instructions to scrape review data from the second external review website is executed; and wherein at least some of the received review data is received from a data store configured to store heterogeneous data records, and wherein the data store includes review data from different external review websites that is stored in heterogeneous record formats; a set of one or more processors configured to: generate, from at least a portion of the received review data collected, over the network, from the plurality of disparate, external review websites, at least one online review benchmark for the particular industry, including by determining at least one of an online review volume benchmark and an online review distribution benchmark, wherein: the online review volume benchmark is determined at least in part by counting a first number of reviews associated with at least some entities in the particular industry on the plurality of disparate, external review websites; and the online review distribution benchmark is determined at least in part by determining, for at least the first and second external review websites included in the plurality of disparate, external review websites, a respective proportion of reviews associated with at least some entities in the particular industry on the respective external review websites; and store the generated at least one online review benchmark for the particular industry; compare, at a time subsequent to generating the at least one online review benchmark for the particular industry, review data associated with a first entity in the particular industry to the stored industry benchmark, including by comparing at least one of an online review volume of the first entity to the online review volume benchmark for the particular industry and an online review distribution of the first entity to the online review distribution benchmark for the particular industry; determine, based at least in part on the comparison of the review data associated with the first entity in the particular industry to the stored industry benchmark, that an adjustment to the online review distribution of the first entity should be performed, wherein the adjustment includes increasing a number of reviews associated with the first entity on one or more external review websites; model an impact that additional reviews on the one or more external review websites would have for the first entity, wherein modeling the impact includes: running a first simulation in which a first volume of additional positive reviews are obtained on the first external review website; determining a first modeled online reputation score based at least in part on the first simulation; running a second simulation in which a second volume of additional positive reviews are obtained on the second external review website, wherein the first volume and the second volume are different; and determining a second modeled online reputation score based at least in part on the second simulation; determine, based at least in part on the first and second modeled online reputation scores, that additional reviews associated with the first external review website should be requested from one or more potential reviewers; in response to determining that additional reviews associated with the first external review website should be requested: identify, in a list of potential reviewers, individuals in the list of potential reviewers that have accounts with the first external review website for which it has been determined that additional reviews should be requested, wherein the identified individuals are identified based at least in part on an evaluation of corresponding email addresses associated with the identified individuals; and facilitate transmission of review requests to the identified individuals, wherein facilitating transmission of the review requests includes facilitating transmission, over the network, of an electronic message to an individual included in the identified individuals, wherein the electronic message includes a link to the first external review website; and at a time subsequent to transmission of the electronic message, perform a follow-up action based at least in part on a determination of whether the individual has performed at least one of opening the electronic message and clicking on the link included in the electronic message; and a memory coupled to the set of one or more processors and configured to provide the set of one or more processors with instructions. 10. The system of claim 1 wherein the identified individuals are identified at least in part by querying, using the corresponding email addresses, a second API associated with the first external review website and obtaining one or more responses indicating that the corresponding email addresses are associated with accounts on the first external review web site for which it has been determined that additional reviews should be requested. | 0.531915 |
7,860,312 | 1 | 3 | 1. A method of distilling information from a hard copy business document to determine routing information for forwarding of an electronic version of business document to a destination, comprising: (a) electronically scanning a platen area of a digital scanner, having a business document thereon, to create a bitmap of the scanned platen area; (b) electronically converting, using an electronic circuit, the bitmap into a block of data, the block of data including lines of text, position information, text size information, and line separators; (c) segmenting the block of data into text lines, separators, and region objects; (d) assigning a lexical type to the segmented text lines based upon a predetermined set of regular expressions; (e) identifying, within the block of data, recipient information, using the assigned lexical type information and a stochastic context-free grammar model; (f) determining routing information corresponding to a destination associated with the identified recipient information; and (g) forwarding the electronic version of the scanned business document to the destination. | 1. A method of distilling information from a hard copy business document to determine routing information for forwarding of an electronic version of business document to a destination, comprising: (a) electronically scanning a platen area of a digital scanner, having a business document thereon, to create a bitmap of the scanned platen area; (b) electronically converting, using an electronic circuit, the bitmap into a block of data, the block of data including lines of text, position information, text size information, and line separators; (c) segmenting the block of data into text lines, separators, and region objects; (d) assigning a lexical type to the segmented text lines based upon a predetermined set of regular expressions; (e) identifying, within the block of data, recipient information, using the assigned lexical type information and a stochastic context-free grammar model; (f) determining routing information corresponding to a destination associated with the identified recipient information; and (g) forwarding the electronic version of the scanned business document to the destination. 3. The method as claimed in claim 1 , wherein the determined routing information is an internet protocol address associated with the identified recipient information. | 0.600962 |
9,892,725 | 9 | 10 | 9. The system of claim 8 , the an audio transcription tool coupled to the bus that when executing the instructions further causes the system to: compare the text data to the data structure, wherein the data structure comprises a dictionary; and determine a number of inaccurate words in the text data. | 9. The system of claim 8 , the an audio transcription tool coupled to the bus that when executing the instructions further causes the system to: compare the text data to the data structure, wherein the data structure comprises a dictionary; and determine a number of inaccurate words in the text data. 10. The system of claim 9 , wherein the dictionary comprises a customer specific dictionary. | 0.695364 |
9,106,812 | 16 | 17 | 16. A computing device comprising: one or more processors; and a memory coupled to the one or more processors, the memory comprising: a screenplay analysis module configured to identify, in a screenplay having one or more pages, sections of dialogue, sections of action, and relative locations of the sections of dialogue and the sections of action within the one or more pages; a timeline generation module configured to generate a timeline for the screenplay based at least in part on a number of pages in the screenplay; a synchronization module configured to map audio corresponding to the sections of dialogue to the timeline based at least in part on the relative locations of the sections of dialogue and the sections of action within the one or more pages; a character image generation module configured to: analyze audio that corresponds to a section of dialogue to identify a mood, sentiment, or emotion of at least one character; determine a facial expression of a plurality of facial expressions of the at least one character based at least in part on the audio analysis, wherein the facial expression comprises a predetermined, anatomically-based facial appearance; and associate the facial expression with a character image of the at least one character for inclusion in the storyboard; and a storyboard generation module configured to generate a storyboard based at least in part on the timeline, the storyboard comprising an audio track based at least in part on the section of dialogue mapped to the timeline. | 16. A computing device comprising: one or more processors; and a memory coupled to the one or more processors, the memory comprising: a screenplay analysis module configured to identify, in a screenplay having one or more pages, sections of dialogue, sections of action, and relative locations of the sections of dialogue and the sections of action within the one or more pages; a timeline generation module configured to generate a timeline for the screenplay based at least in part on a number of pages in the screenplay; a synchronization module configured to map audio corresponding to the sections of dialogue to the timeline based at least in part on the relative locations of the sections of dialogue and the sections of action within the one or more pages; a character image generation module configured to: analyze audio that corresponds to a section of dialogue to identify a mood, sentiment, or emotion of at least one character; determine a facial expression of a plurality of facial expressions of the at least one character based at least in part on the audio analysis, wherein the facial expression comprises a predetermined, anatomically-based facial appearance; and associate the facial expression with a character image of the at least one character for inclusion in the storyboard; and a storyboard generation module configured to generate a storyboard based at least in part on the timeline, the storyboard comprising an audio track based at least in part on the section of dialogue mapped to the timeline. 17. The computing device of claim 16 , wherein the timeline generation module allocates an average of one minute of time in the timeline for one page of the screenplay. | 0.729032 |
9,152,617 | 30 | 31 | 30. The computer program product according to claim 25 , wherein the keying module pre-processes the at least the portion of the object and displays a third information concerning the at least the portion of the object. | 30. The computer program product according to claim 25 , wherein the keying module pre-processes the at least the portion of the object and displays a third information concerning the at least the portion of the object. 31. The computer program product according to claim 30 , wherein the keying module allows navigation within the object to locate the at least the portion of the object. | 0.5 |
8,312,042 | 1 | 5 | 1. A non-transitory computer-readable medium encoded with a computer program comprising instructions that, when executed, operate to cause a computer to perform operations comprising: receiving, by a mobile device, a voice input; encoding, by the mobile device, the voice input in an audio signal; identifying, by the mobile device, information either identifying a current location of the mobile device or usable to determine a current location of the mobile device; submitting, by the mobile device, the audio signal and the information to a search engine, as part of a voice query; receiving, by the mobile device and from the search engine, a search engine results page that identifies multiple search results in response to the voice query; identifying, by the mobile device, a telephone number associated with a particular one of the search results identified on the search engine results page; and automatically placing, by the mobile device in response to a determination that the mobile device is to automatically place a telephone call, said telephone call using the telephone number, without requiring a user of the mobile device to select the particular search result from among the multiple search results identified on the search engine results page. | 1. A non-transitory computer-readable medium encoded with a computer program comprising instructions that, when executed, operate to cause a computer to perform operations comprising: receiving, by a mobile device, a voice input; encoding, by the mobile device, the voice input in an audio signal; identifying, by the mobile device, information either identifying a current location of the mobile device or usable to determine a current location of the mobile device; submitting, by the mobile device, the audio signal and the information to a search engine, as part of a voice query; receiving, by the mobile device and from the search engine, a search engine results page that identifies multiple search results in response to the voice query; identifying, by the mobile device, a telephone number associated with a particular one of the search results identified on the search engine results page; and automatically placing, by the mobile device in response to a determination that the mobile device is to automatically place a telephone call, said telephone call using the telephone number, without requiring a user of the mobile device to select the particular search result from among the multiple search results identified on the search engine results page. 5. The medium of claim 1 , wherein submitting the audio signal comprises submitting a signal that the voice query is a local search query. | 0.787692 |
10,156,981 | 1 | 4 | 1. A method, comprising: receiving first input data associated with an input scope of a text input device, wherein the first input data comprises one or more words; receiving second input data comprising text; analyzing the second input data and at least a portion of input history data stored in an input history data source; and based on the analyzing, providing at least one user-specific suggestion candidate for the second input data on a display coupled to the text input device, and resizing one or more target areas associated with one or more, but less than all, respective keys displayed on the display, wherein the resizing is based on one or more characters previously received in the second input data text. | 1. A method, comprising: receiving first input data associated with an input scope of a text input device, wherein the first input data comprises one or more words; receiving second input data comprising text; analyzing the second input data and at least a portion of input history data stored in an input history data source; and based on the analyzing, providing at least one user-specific suggestion candidate for the second input data on a display coupled to the text input device, and resizing one or more target areas associated with one or more, but less than all, respective keys displayed on the display, wherein the resizing is based on one or more characters previously received in the second input data text. 4. The method of claim 1 , wherein the user-specific suggestion candidates are for a predicted next character for the second input data. | 0.812155 |
8,626,488 | 18 | 19 | 18. The system of claim 14 , further operable to perform operations comprising: determining a combined alignment using two or more bridge-based alignments using two or more bridge languages; and using the combined alignment to generate a third candidate translation of the input text. | 18. The system of claim 14 , further operable to perform operations comprising: determining a combined alignment using two or more bridge-based alignments using two or more bridge languages; and using the combined alignment to generate a third candidate translation of the input text. 19. The system of claim 18 , wherein determining the combined alignment includes: determining a specific alignment for each of the two or more bridge languages; associating each specific alignment with a weight based on its respective bridge language, the source language and the target language; and combining the specific alignments based on the weights to obtain the combined alignment. | 0.5 |
7,706,616 | 27 | 28 | 27. The method of claim 26 , wherein yet another channel of the plurality of channels comprises shape information. | 27. The method of claim 26 , wherein yet another channel of the plurality of channels comprises shape information. 28. The method of claim 27 , wherein recognizing a word pattern using the shape information comprises template matching. | 0.5 |
8,799,351 | 1 | 3 | 1. A method for communicating multiple files in a single markup language document, comprising: receiving electronic data for delivery to a destination address; receiving an electronic file associated with the electronic data; generating a first markup language document including the electronic data; storing both the first markup language document and the electronic file in a payload of a second markup language document; generating a header for the second markup language document, the header identifying the existence of both the first markup language document and the electronic file in the payload, the header comprising at least one parameter indicative of one or more relationships between the first markup language document and the electronic file in the payload; and transmitting the second markup language document including the header and the payload to the destination address using a communication network. | 1. A method for communicating multiple files in a single markup language document, comprising: receiving electronic data for delivery to a destination address; receiving an electronic file associated with the electronic data; generating a first markup language document including the electronic data; storing both the first markup language document and the electronic file in a payload of a second markup language document; generating a header for the second markup language document, the header identifying the existence of both the first markup language document and the electronic file in the payload, the header comprising at least one parameter indicative of one or more relationships between the first markup language document and the electronic file in the payload; and transmitting the second markup language document including the header and the payload to the destination address using a communication network. 3. The method of claim 1 , further comprising: generating a pointer for the first markup language document, the pointer identifying a key stored in the second markup language document; generating the key for the second markup language document, the key identifying data in the electronic file; storing the pointer in the first markup language document; and storing the key in the second markup language document. | 0.533937 |
8,037,407 | 1 | 4 | 1. A computer-implemented method for creating and processing a human interface description, the method comprising the steps of: receiving an application-specific human interface description associated with an information-gathering application, the application-specific human interface description comprising: application-specific layout elements defined according to terminology consistent with the application, the application-specific layout elements being arranged in an expandable and collapsible hierarchy having a corresponding hierarchical state; and data elements defined according to the terminology and having values specific to the application; transforming the application-specific human interface description into a standardized human interface description, the standardized human interface description comprising standardized layout information and the data elements specific to the application, the transforming comprising: translating the application-specific layout elements into the standardized layout information, the standardized layout information comprising layout elements in a format independent of the application and independent of a browser, wherein the standardized layout information maintains the hierarchical state of the application-specific layout elements; decomposing the standardized human interface description into a human interface layout template and a data description, the data description comprising the data elements specific to the application, and the human interface layout template comprising the standardized layout information, the decomposing comprising: extracting the standardized layout information from the standardized human interface description using a first transformation; and extracting the data elements specific to the application from the standardized human interface description using a second transformation, wherein the second transformation scans the standardized human interface description to identify name attributes, and at least one of the data elements specific to the application and corresponding to the identified name attributes; and merging a data instance of the data description with the human interface layout template to form an individual browser-compliant human interface description, the merging comprising translating the layout information into a format consistent with the browser. | 1. A computer-implemented method for creating and processing a human interface description, the method comprising the steps of: receiving an application-specific human interface description associated with an information-gathering application, the application-specific human interface description comprising: application-specific layout elements defined according to terminology consistent with the application, the application-specific layout elements being arranged in an expandable and collapsible hierarchy having a corresponding hierarchical state; and data elements defined according to the terminology and having values specific to the application; transforming the application-specific human interface description into a standardized human interface description, the standardized human interface description comprising standardized layout information and the data elements specific to the application, the transforming comprising: translating the application-specific layout elements into the standardized layout information, the standardized layout information comprising layout elements in a format independent of the application and independent of a browser, wherein the standardized layout information maintains the hierarchical state of the application-specific layout elements; decomposing the standardized human interface description into a human interface layout template and a data description, the data description comprising the data elements specific to the application, and the human interface layout template comprising the standardized layout information, the decomposing comprising: extracting the standardized layout information from the standardized human interface description using a first transformation; and extracting the data elements specific to the application from the standardized human interface description using a second transformation, wherein the second transformation scans the standardized human interface description to identify name attributes, and at least one of the data elements specific to the application and corresponding to the identified name attributes; and merging a data instance of the data description with the human interface layout template to form an individual browser-compliant human interface description, the merging comprising translating the layout information into a format consistent with the browser. 4. The method of claim 1 , wherein the transforming comprises performing a transformation using a style sheet. | 0.705882 |
8,667,003 | 13 | 15 | 13. The method of claim 1 , wherein the one or more candidate sibling queries are ranked for each child query. | 13. The method of claim 1 , wherein the one or more candidate sibling queries are ranked for each child query. 15. The method of claim 13 , wherein the candidate sibling queries are ranked according to one or more of a number of parent queries shared by a given child query and each sibling, a quality of result statistic, or a click-through-rate for each candidate sibling query. | 0.5 |
8,122,012 | 12 | 14 | 12. A program product, comprising: a computer storage readable medium containing a program, comprising: (a) a plurality of logical fields each having an access method that specifies at least a method to access the physical data associated with the logical field; (b) a plurality of model entities, wherein each model entity identifies (i) a set of logical fields, from the plurality of logical fields, that map to logically related physical data; and (ii) an identifier in the underlying database used to identify instances of the model entity; wherein a first logical field of each set of logical fields for each model entity includes a timeline attribute defining a timeline for the model entity and wherein a second logical field of each set of logical fields for each model entity defines where the physical data associated with the second logical field occurs on the timeline for the model entity; and (c) a database query application configured to receive a request to display data related to an instance of one of the plurality of model entities, and in response to receiving the request: retrieve, from a physical database, physical data corresponding to the set of logical fields for the instance model entity; display the timeline for the instance, based on the timeline attribute for the first logical field; and display an event on the timeline, based on the timeline attribute for the second logical field, wherein the event corresponds to the physical data associated with the second logical field, wherein the timeline attribute for the second logical field specifies that the event corresponding to the logical field comprises a duration type event, and wherein duration type events are rendered over a segment of the timeline that indicates, relative to the timeline for the instance of the model entity, a period of time when a condition symbolized by the event occurred. | 12. A program product, comprising: a computer storage readable medium containing a program, comprising: (a) a plurality of logical fields each having an access method that specifies at least a method to access the physical data associated with the logical field; (b) a plurality of model entities, wherein each model entity identifies (i) a set of logical fields, from the plurality of logical fields, that map to logically related physical data; and (ii) an identifier in the underlying database used to identify instances of the model entity; wherein a first logical field of each set of logical fields for each model entity includes a timeline attribute defining a timeline for the model entity and wherein a second logical field of each set of logical fields for each model entity defines where the physical data associated with the second logical field occurs on the timeline for the model entity; and (c) a database query application configured to receive a request to display data related to an instance of one of the plurality of model entities, and in response to receiving the request: retrieve, from a physical database, physical data corresponding to the set of logical fields for the instance model entity; display the timeline for the instance, based on the timeline attribute for the first logical field; and display an event on the timeline, based on the timeline attribute for the second logical field, wherein the event corresponds to the physical data associated with the second logical field, wherein the timeline attribute for the second logical field specifies that the event corresponding to the logical field comprises a duration type event, and wherein duration type events are rendered over a segment of the timeline that indicates, relative to the timeline for the instance of the model entity, a period of time when a condition symbolized by the event occurred. 14. The program product of claim 12 , wherein the instance of a model entity is selected by a user interacting with the database query application response to a display of all instances of the model entity in the underlying database. | 0.805184 |
10,013,499 | 1 | 8 | 1. A method by a computer comprising: generating a list of unique terms, each comprising prefix data and associated property data, contained in a defined web ontology language; receiving a resource descriptive framework (RDF) statement about a web resource; generating a list of unique terms, each comprising prefix data and associated property data, contained in the RDF statement; identifying a first problem term within the list of unique terms contained in the RDF statement that is not present among the list of unique terms contained in the defined web ontology language, the first problem term comprising an error in the RDF statement; generating a list of candidate terms contained in the defined web ontology that satisfy a threshold similarity to the first problem term; selecting a candidate term from among the list of candidate terms having a data type for the property data that matches a data type for the property data of the first problem term; and substituting the candidate term for each occurrence of the first problem term contained in the RDF statement. | 1. A method by a computer comprising: generating a list of unique terms, each comprising prefix data and associated property data, contained in a defined web ontology language; receiving a resource descriptive framework (RDF) statement about a web resource; generating a list of unique terms, each comprising prefix data and associated property data, contained in the RDF statement; identifying a first problem term within the list of unique terms contained in the RDF statement that is not present among the list of unique terms contained in the defined web ontology language, the first problem term comprising an error in the RDF statement; generating a list of candidate terms contained in the defined web ontology that satisfy a threshold similarity to the first problem term; selecting a candidate term from among the list of candidate terms having a data type for the property data that matches a data type for the property data of the first problem term; and substituting the candidate term for each occurrence of the first problem term contained in the RDF statement. 8. The method of claim 1 , wherein the generating a list of candidate terms contained in the defined web ontology that satisfy the threshold similarity to the first problem term, comprises: computing Levenshtein distance values between the first problem term and each of the list of candidate terms contained in the defined web ontology; and including in the list of candidate terms the candidate terms having a computed Levenshtein distance value that satisfies a defined threshold value. | 0.670485 |
8,880,388 | 1 | 7 | 1. A system for predicting a lexical answer types (LAT) in a question comprising: a memory storage device including a plurality of syntactic frames; a processor device operatively connected to said memory storage device and configured to: receive a question text string; extract at least one syntactic frame from said question string, designate, in said syntactic frame, a placeholder for an entity corresponding to a potential lexical answer type; and query a lexical knowledge database to automatically obtain at least one replacement term for said placeholder of said at least one syntactic frame, wherein said entity placeholder is a part of a question focus indicating a LAT of the question. | 1. A system for predicting a lexical answer types (LAT) in a question comprising: a memory storage device including a plurality of syntactic frames; a processor device operatively connected to said memory storage device and configured to: receive a question text string; extract at least one syntactic frame from said question string, designate, in said syntactic frame, a placeholder for an entity corresponding to a potential lexical answer type; and query a lexical knowledge database to automatically obtain at least one replacement term for said placeholder of said at least one syntactic frame, wherein said entity placeholder is a part of a question focus indicating a LAT of the question. 7. The system as claimed in claim 1 , wherein said processor device if further configured to: filter out said replacement terms if said replacement term is not related to the context of said question. | 0.728997 |
8,712,850 | 24 | 26 | 24. The method of claim 1 further comprising determining when promotion should occur including evaluating one or more metrics associated with the creative or delivery of the creative. | 24. The method of claim 1 further comprising determining when promotion should occur including evaluating one or more metrics associated with the creative or delivery of the creative. 26. The method of claim 24 wherein one metric relates to a user to whom the creative is to be displayed. | 0.670886 |
7,711,566 | 1 | 7 | 1. In a system where an annotation guide is used to label utterances in speech data with a call type, a method for monitoring labelers of the speech data, the method comprising: presenting via a processor a test utterance to a labeler; receiving input from the labeler that selects a particular call type from a list of call types; determining via the processor if the labeler labeled the test utterance correctly; and based on the determining step, performing at least one of: revising the annotation guide, retraining the labeler or altering the test utterance. | 1. In a system where an annotation guide is used to label utterances in speech data with a call type, a method for monitoring labelers of the speech data, the method comprising: presenting via a processor a test utterance to a labeler; receiving input from the labeler that selects a particular call type from a list of call types; determining via the processor if the labeler labeled the test utterance correctly; and based on the determining step, performing at least one of: revising the annotation guide, retraining the labeler or altering the test utterance. 7. The method of claim 1 , wherein if the test utterance is altered, the method further comprises presenting another test utterance that tests for more utterances within the same call type. | 0.660072 |
8,521,564 | 1 | 2 | 1. A patient information collection method, comprising: providing, by a computing device, a User Interface (UI) comprising a plurality of fields for identifying patient healthcare issues which a patient desires to address during a visit with the healthcare provider; receiving, by the computing device, via the fields of the UI, one or more patient identifications of patient healthcare issues, the patient identifications comprising user-entered descriptions of the patient healthcare issues; for each received patient healthcare issue, providing, by the computing device, a UI comprising a set of patient selectable aspects of care, the set of patient selectable aspects of care including two or more aspects of care from the group comprising: a diagnosis aspect of care indicating whether the patient desires to address diagnosis of an identified patient healthcare issue during the visit with the healthcare provider; an information aspect of care indicating whether the patient desires to address information about an identified patient healthcare issue during the visit with the healthcare provider; a prognosis aspect of care indicating whether a patient desires to address prognosis of an identified patient healthcare issue during the visit with the healthcare provider; a tests aspect of care indicating whether a patient desires to address tests of an identified patient healthcare issue during the visit with the healthcare provider; a treatment options aspect of care indicating whether a patient desires to address treatment options of an identified patient healthcare issue during the visit with the healthcare provider; a medications aspect of care indicating whether a patient desires to address medications for an identified patient healthcare issue during the visit with the healthcare provider; a refill aspect of care indicating whether a patient desires to address medications refills for an identified patient healthcare issue during the visit with the healthcare provider; a support aspect of care indicating whether a patient desires to address social support for an identified patient healthcare issue during the visit with the healthcare provider; a stress aspect of care indicating whether a patient desires to address stress related to an identified patient healthcare issue during the visit with the healthcare provider; a function aspect of care indicating whether a patient desires to address function related to an identified patient healthcare issue during the visit with the healthcare provider; a referral aspect of care indicating whether a patient desires to address referral for an identified patient healthcare issue during the visit with the healthcare provider; and a paperwork aspect of care indicating whether a patient desires to address paperwork for an identified patient healthcare issue during the visit with the healthcare provider; receiving, by the computing device, patient aspect of care selections for each received patient identified patient healthcare issue; providing, by the computing device, a UI for patient prioritizing of received patient identified patient healthcare issues; receiving, by the computing device, patient issue prioritizations of the patient identified patient healthcare issues, the patient issue prioritizations comprising a ranking of the patient identified patient healthcare issues; generating, by the computing device, a report comprising patient prioritized identifications of patient identified patient healthcare issues along with patient selected aspects of care corresponding to each patient identified patient healthcare issue; and storing, by the computing device: patient healthcare issues received via the UI comprising the plurality of fields for identifying patient healthcare issues; selected aspects of care received via the UI comprising a set of selectable aspects of care; data received via a field configured to receive free-form aspect of care descriptions; selected information channels received via a UI comprising a set of selectable information channels; data received via a field configured to receive free-form information channel descriptions; selected questions for a healthcare provider received via a UI comprising a set of selectable questions; data received via a field configured to receive free-form healthcare provider questions; selected information items for a healthcare provider received via a UI comprising a set of selectable information items; and/or data received via a field configured to receive free-form information items for a healthcare provider. | 1. A patient information collection method, comprising: providing, by a computing device, a User Interface (UI) comprising a plurality of fields for identifying patient healthcare issues which a patient desires to address during a visit with the healthcare provider; receiving, by the computing device, via the fields of the UI, one or more patient identifications of patient healthcare issues, the patient identifications comprising user-entered descriptions of the patient healthcare issues; for each received patient healthcare issue, providing, by the computing device, a UI comprising a set of patient selectable aspects of care, the set of patient selectable aspects of care including two or more aspects of care from the group comprising: a diagnosis aspect of care indicating whether the patient desires to address diagnosis of an identified patient healthcare issue during the visit with the healthcare provider; an information aspect of care indicating whether the patient desires to address information about an identified patient healthcare issue during the visit with the healthcare provider; a prognosis aspect of care indicating whether a patient desires to address prognosis of an identified patient healthcare issue during the visit with the healthcare provider; a tests aspect of care indicating whether a patient desires to address tests of an identified patient healthcare issue during the visit with the healthcare provider; a treatment options aspect of care indicating whether a patient desires to address treatment options of an identified patient healthcare issue during the visit with the healthcare provider; a medications aspect of care indicating whether a patient desires to address medications for an identified patient healthcare issue during the visit with the healthcare provider; a refill aspect of care indicating whether a patient desires to address medications refills for an identified patient healthcare issue during the visit with the healthcare provider; a support aspect of care indicating whether a patient desires to address social support for an identified patient healthcare issue during the visit with the healthcare provider; a stress aspect of care indicating whether a patient desires to address stress related to an identified patient healthcare issue during the visit with the healthcare provider; a function aspect of care indicating whether a patient desires to address function related to an identified patient healthcare issue during the visit with the healthcare provider; a referral aspect of care indicating whether a patient desires to address referral for an identified patient healthcare issue during the visit with the healthcare provider; and a paperwork aspect of care indicating whether a patient desires to address paperwork for an identified patient healthcare issue during the visit with the healthcare provider; receiving, by the computing device, patient aspect of care selections for each received patient identified patient healthcare issue; providing, by the computing device, a UI for patient prioritizing of received patient identified patient healthcare issues; receiving, by the computing device, patient issue prioritizations of the patient identified patient healthcare issues, the patient issue prioritizations comprising a ranking of the patient identified patient healthcare issues; generating, by the computing device, a report comprising patient prioritized identifications of patient identified patient healthcare issues along with patient selected aspects of care corresponding to each patient identified patient healthcare issue; and storing, by the computing device: patient healthcare issues received via the UI comprising the plurality of fields for identifying patient healthcare issues; selected aspects of care received via the UI comprising a set of selectable aspects of care; data received via a field configured to receive free-form aspect of care descriptions; selected information channels received via a UI comprising a set of selectable information channels; data received via a field configured to receive free-form information channel descriptions; selected questions for a healthcare provider received via a UI comprising a set of selectable questions; data received via a field configured to receive free-form healthcare provider questions; selected information items for a healthcare provider received via a UI comprising a set of selectable information items; and/or data received via a field configured to receive free-form information items for a healthcare provider. 2. The method of claim 1 , further comprising providing, by the computing device, an additional UI subsequent to receiving aspect of care selections for each received patient healthcare issue, the additional UI comprising a field for optionally identifying one or more additional patient healthcare issues. | 0.739796 |
9,779,440 | 6 | 7 | 6. A system, comprising: one or more processors; and a memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: receiving a title of an item being listed; identifying stored search queries that would cause the item being listed to be included in a search result; determining relevance of the title as related to each of the identified search queries; sorting the identified search queries based on the determined relevance of the title; determining a desirability score, the determining comprising: extracting terms from each of the search queries; adding the extracted terms to a set of stored terms to generate updated stored terms; and for each extracted term, calculating a demand percentage based on the updated stored terms; based on the sorted identified search queries, retrieving a desirability score for a term included in the identified search queries, the desirability score being based on the demand percentage; generating a suggestion of a modification to the title, the suggestion of the modification including the term and the corresponding retrieved desirability score; and transmitting instructions to a client machine that causes the client machine to display the suggestion of the modification including the term, the corresponding retrieved desirability score, and an option to add or remove the suggested term. | 6. A system, comprising: one or more processors; and a memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: receiving a title of an item being listed; identifying stored search queries that would cause the item being listed to be included in a search result; determining relevance of the title as related to each of the identified search queries; sorting the identified search queries based on the determined relevance of the title; determining a desirability score, the determining comprising: extracting terms from each of the search queries; adding the extracted terms to a set of stored terms to generate updated stored terms; and for each extracted term, calculating a demand percentage based on the updated stored terms; based on the sorted identified search queries, retrieving a desirability score for a term included in the identified search queries, the desirability score being based on the demand percentage; generating a suggestion of a modification to the title, the suggestion of the modification including the term and the corresponding retrieved desirability score; and transmitting instructions to a client machine that causes the client machine to display the suggestion of the modification including the term, the corresponding retrieved desirability score, and an option to add or remove the suggested term. 7. The system of claim 6 , wherein the operations further comprise: identifying co-occurring terms in the stored search queries; and matching a term found in the title with the identified co-occurring terms, wherein the generating the suggestion of the modification comprises including at least a subset of the matching identified co-occurring terms that match the terms found in the title. | 0.5 |
6,161,108 | 1 | 2 | 1. An apparatus for retrieving images comprising: an image database in which image data and natural language data indicating a visual impression of an image prepared based on the image data are stored in a correlated form; a natural language input section for inputting natural language data indicating a text for retrieval; and a retrieving section for collating natural language data inputted from said natural language input section to natural language data stored in said image database and extracting image data relating to natural language data having a common visual impression from said image database according to a result of collation; wherein said retrieving section extracts a plurality of image data in an ascending order from image data having higher similarity according to a result of collation. | 1. An apparatus for retrieving images comprising: an image database in which image data and natural language data indicating a visual impression of an image prepared based on the image data are stored in a correlated form; a natural language input section for inputting natural language data indicating a text for retrieval; and a retrieving section for collating natural language data inputted from said natural language input section to natural language data stored in said image database and extracting image data relating to natural language data having a common visual impression from said image database according to a result of collation; wherein said retrieving section extracts a plurality of image data in an ascending order from image data having higher similarity according to a result of collation. 2. An apparatus for managing images according to claim 1 comprising an input section for inputting natural language data by means of key operations, voice recognition or image recognition, and the natural language data inputted by said input section is correlated to the image data and is stored in a correlated form. | 0.5 |
9,183,595 | 1 | 2 | 1. In a knowledge-based authentication (KBA) system, a method of generating a set of questions, the method comprising: collecting a set of facts that have references to a population of users; receiving a request to authenticate a particular user claiming to belong to a group of users included in the population of users; in response to the request, identifying a set of group facts, each group fact of the set of group facts being included in the set of facts and having references to users of the group of users; and generating the set of questions from the set of group facts, responses to questions of the set of questions provided by the particular user being indicative of whether the particular user belongs to the group of users; wherein generating the set of questions from the set of group facts includes: for each group fact of the set of group facts, producing an internal link strength that represents a number of users of the group of users referenced by that group fact; using a group fact of the set of group facts to produce a question of the set of questions when the internal link strength for the group fact is greater than a threshold internal link strength; and not using the group fact in producing questions of the set of questions when the internal link strength for the group fact is less than the threshold internal link strength. | 1. In a knowledge-based authentication (KBA) system, a method of generating a set of questions, the method comprising: collecting a set of facts that have references to a population of users; receiving a request to authenticate a particular user claiming to belong to a group of users included in the population of users; in response to the request, identifying a set of group facts, each group fact of the set of group facts being included in the set of facts and having references to users of the group of users; and generating the set of questions from the set of group facts, responses to questions of the set of questions provided by the particular user being indicative of whether the particular user belongs to the group of users; wherein generating the set of questions from the set of group facts includes: for each group fact of the set of group facts, producing an internal link strength that represents a number of users of the group of users referenced by that group fact; using a group fact of the set of group facts to produce a question of the set of questions when the internal link strength for the group fact is greater than a threshold internal link strength; and not using the group fact in producing questions of the set of questions when the internal link strength for the group fact is less than the threshold internal link strength. 2. A method according to claim 1 , wherein collecting the set of facts includes: for each fact of the set of facts, generating a link table of users of the population of users to which the fact has a reference, and wherein identifying the set of group facts includes: finding the facts of the set of facts for which the link table includes users of the group of users. | 0.708861 |
10,033,799 | 1 | 3 | 1. A system for Internet messaging between users that presents messages to receiving users with an interface format based on a web relationship status using a semantic messaging object, comprising: a network component, wherein the network component is communicatively coupled with a memory in order to manage data received by and transmitted from the system; an identity manager coupled to the network component, wherein the identity manager manages identities of a set of users and user groups of the system and messaging relationships between the set of users and user groups wherein a messaging relationship comprises the interface format in which a first user receives messages from an author of the semantic messaging object, and an automation component coupled to the identity manager, wherein the automation component determines the interface format that specifies how the semantic messaging object is displayed over a network, the interface format being associated with a first metadata entry of the semantic object and a messaging relationship between the author and the first user; and a router module coupled to the automation component, wherein the routing module routes the semantic messaging object over the network to the first user. | 1. A system for Internet messaging between users that presents messages to receiving users with an interface format based on a web relationship status using a semantic messaging object, comprising: a network component, wherein the network component is communicatively coupled with a memory in order to manage data received by and transmitted from the system; an identity manager coupled to the network component, wherein the identity manager manages identities of a set of users and user groups of the system and messaging relationships between the set of users and user groups wherein a messaging relationship comprises the interface format in which a first user receives messages from an author of the semantic messaging object, and an automation component coupled to the identity manager, wherein the automation component determines the interface format that specifies how the semantic messaging object is displayed over a network, the interface format being associated with a first metadata entry of the semantic object and a messaging relationship between the author and the first user; and a router module coupled to the automation component, wherein the routing module routes the semantic messaging object over the network to the first user. 3. The system of claim 1 , further comprising a test post facility for testing semantic objects before the semantic messaging objects are posted on the web. | 0.800512 |
10,110,441 | 10 | 11 | 10. The computer program product of claim 8 , wherein the method further comprises: receiving, by one or more processors, a selection identifying a type of identifier that corresponds to the identifier, and wherein identifying the portion of text is based, at least in part, on the selection that identifies the type of identifier. | 10. The computer program product of claim 8 , wherein the method further comprises: receiving, by one or more processors, a selection identifying a type of identifier that corresponds to the identifier, and wherein identifying the portion of text is based, at least in part, on the selection that identifies the type of identifier. 11. The computer program product of claim 10 , wherein the type of identifier is selected from the group consisting of: a world-wide port name address, a media access control address, and an internet protocol address. | 0.5 |
9,547,689 | 12 | 16 | 12. A non-transitory computer-readable storage medium having stored thereon data representing sequences of instructions that, when executed by a processor, cause the processor to perform operations comprising: receiving, with one or more hardware processing devices, a record access query for a database system, the query for all records for a certain one or more users a certain access level; searching, with one or more hardware processing devices, one or more sharing tables of entities in a computing environment for security descriptors, each security descriptor being associated with a set of one or more users having access to one or more records of a set of records at an access level, wherein each unique set of users having a same access level to one or more records in a set of records is associated with a same security descriptor in a sharing table for each of the one or more records, wherein the security descriptors identify each instance in which the access level is the same; identifying, with one or more hardware processing devices, security descriptors in the one or more sharing tables that relate to the certain one or more users with at least the certain access level; and searching, with one or more hardware processing devices, utilizing a single query the one or more records associated with each of the identified security descriptors according to the record access query. | 12. A non-transitory computer-readable storage medium having stored thereon data representing sequences of instructions that, when executed by a processor, cause the processor to perform operations comprising: receiving, with one or more hardware processing devices, a record access query for a database system, the query for all records for a certain one or more users a certain access level; searching, with one or more hardware processing devices, one or more sharing tables of entities in a computing environment for security descriptors, each security descriptor being associated with a set of one or more users having access to one or more records of a set of records at an access level, wherein each unique set of users having a same access level to one or more records in a set of records is associated with a same security descriptor in a sharing table for each of the one or more records, wherein the security descriptors identify each instance in which the access level is the same; identifying, with one or more hardware processing devices, security descriptors in the one or more sharing tables that relate to the certain one or more users with at least the certain access level; and searching, with one or more hardware processing devices, utilizing a single query the one or more records associated with each of the identified security descriptors according to the record access query. 16. The medium of claim 12 , wherein the search of one or more tables includes caching one or more results of the search. | 0.812693 |
8,032,418 | 34 | 35 | 34. The apparatus according to claim 32 , additionally comprising an accounting module in communication with the processor for recording a charge to a commercial supplier in response to a user making contact with the commercial supplier as a consequence of receiving details of a search. | 34. The apparatus according to claim 32 , additionally comprising an accounting module in communication with the processor for recording a charge to a commercial supplier in response to a user making contact with the commercial supplier as a consequence of receiving details of a search. 35. The apparatus according to claim 34 , wherein each text item of the database of text items has a bid value associated with a corresponding keyword and wherein each text item is ranked with respect to the bid value. | 0.5 |
9,406,048 | 1 | 4 | 1. A method, comprising: allowing a user to specify trigger words; allowing the user to prepare an email message including adding a trigger word to indicate confidential previously presented nature of information being sent through a message or an attachment; detecting initiation of sending of the email message by detecting activation of a send function; scanning, by an email server, the email message including at least one of a message body and an attachment of the email message to determine whether the email message includes one or more of the trigger words which are indicated in a trigger word table, the trigger word table indicating that a message may be sensitive where the message comprises a message body and a message attachment and being created by the user previous to the email message preparation; alerting the user with a sound and a pop-up display message when the scanning determines that the email message includes one or more of the trigger words, the pop-up display message includes: a border surrounding that blinks, a message that the user is about to send the one or more of the trigger words determined as comprising confidential, proprietary or sensitive material in the trigger word table and, an email address of a recipient of the email message and corresponding locations of the one or more of the trigger words in the email message; wherein the pop-up display message further contains execution icons which allow the user to approve sending of the email message or to disapprove sending of the email message, wherein the trigger words are selected to stop sending of the email message determined as comprising confidential, proprietary or sensitive material, wherein the user is alerted directly when one or more of the trigger words are first found, wherein the alerting is triggered by an exact match with one or more of the trigger words, wherein the corresponding locations of the one or more of the trigger words determined to be included in the at least one of the message body and the attachment of the email message respectively identify the one or more of the trigger words as being located in one or more of a subject line, the message body and the attachment. | 1. A method, comprising: allowing a user to specify trigger words; allowing the user to prepare an email message including adding a trigger word to indicate confidential previously presented nature of information being sent through a message or an attachment; detecting initiation of sending of the email message by detecting activation of a send function; scanning, by an email server, the email message including at least one of a message body and an attachment of the email message to determine whether the email message includes one or more of the trigger words which are indicated in a trigger word table, the trigger word table indicating that a message may be sensitive where the message comprises a message body and a message attachment and being created by the user previous to the email message preparation; alerting the user with a sound and a pop-up display message when the scanning determines that the email message includes one or more of the trigger words, the pop-up display message includes: a border surrounding that blinks, a message that the user is about to send the one or more of the trigger words determined as comprising confidential, proprietary or sensitive material in the trigger word table and, an email address of a recipient of the email message and corresponding locations of the one or more of the trigger words in the email message; wherein the pop-up display message further contains execution icons which allow the user to approve sending of the email message or to disapprove sending of the email message, wherein the trigger words are selected to stop sending of the email message determined as comprising confidential, proprietary or sensitive material, wherein the user is alerted directly when one or more of the trigger words are first found, wherein the alerting is triggered by an exact match with one or more of the trigger words, wherein the corresponding locations of the one or more of the trigger words determined to be included in the at least one of the message body and the attachment of the email message respectively identify the one or more of the trigger words as being located in one or more of a subject line, the message body and the attachment. 4. The method as recited in claim 1 , wherein the trigger word comprises a word not appropriate in a business context. | 0.646707 |
9,881,080 | 1 | 4 | 1. A system comprising: one or more processors; and memory that stores instructions that are executable by the one or more processors to cause the system to perform operations comprising: receiving a first output of a categorization process applied to a training subset of documents of a plurality of documents, the first output including a first indication and a second indication for each document in the training set of documents, the first indication indicating a relevance between a document in the training set of documents and an issue in a set of issues and the second indication indicating a lack of relevance between the document and the issue; generating a classifier based at least in part on the first output; executing the classifier on the plurality of documents to determine a second output, the second output indicating an extent of relevance of each document in the plurality of documents to the issue; partitioning individual documents in the plurality of documents into subsets of documents based at least in part on the second output; adding additional documents from at least one subset of the subsets of documents into the training subset of documents to generate a control subset of documents; executing, as part of a first iteration, the classifier on the control subset of documents to determine a third output; determining, based at least in part on the third output, a threshold associated with the classifier, the threshold being associated with a cutoff point for binarizing a ranking of individual documents in the control subset of documents; computing, based at least in part on the cutoff point, a quality criterion associated with the classifier; determining, based at least in part on the quality criterion, a first quality of performance of the classifier as applied to the control subset of documents; receiving an input; determining, based at least in part on the input, to initiate a second iteration; determining a second quality of performance of the classifier for the second iteration; and displaying a comparison of the first quality of performance and the second quality of performance. | 1. A system comprising: one or more processors; and memory that stores instructions that are executable by the one or more processors to cause the system to perform operations comprising: receiving a first output of a categorization process applied to a training subset of documents of a plurality of documents, the first output including a first indication and a second indication for each document in the training set of documents, the first indication indicating a relevance between a document in the training set of documents and an issue in a set of issues and the second indication indicating a lack of relevance between the document and the issue; generating a classifier based at least in part on the first output; executing the classifier on the plurality of documents to determine a second output, the second output indicating an extent of relevance of each document in the plurality of documents to the issue; partitioning individual documents in the plurality of documents into subsets of documents based at least in part on the second output; adding additional documents from at least one subset of the subsets of documents into the training subset of documents to generate a control subset of documents; executing, as part of a first iteration, the classifier on the control subset of documents to determine a third output; determining, based at least in part on the third output, a threshold associated with the classifier, the threshold being associated with a cutoff point for binarizing a ranking of individual documents in the control subset of documents; computing, based at least in part on the cutoff point, a quality criterion associated with the classifier; determining, based at least in part on the quality criterion, a first quality of performance of the classifier as applied to the control subset of documents; receiving an input; determining, based at least in part on the input, to initiate a second iteration; determining a second quality of performance of the classifier for the second iteration; and displaying a comparison of the first quality of performance and the second quality of performance. 4. The system as claim 1 recites, the operations further comprising: generating at least one graph of respective quality criterions determined for the first iteration and the second iteration in view of respective iteration serial numbers for the first iteration and the second iteration; and displaying the at least one graph to represent the comparison. | 0.5 |
9,842,308 | 33 | 34 | 33. The system of claim 24 further comprising: means for receiving, from at least one carrier, shipping options offered by said at least one carrier. | 33. The system of claim 24 further comprising: means for receiving, from at least one carrier, shipping options offered by said at least one carrier. 34. The system of claim 33 wherein said plurality of shipping processing rules are further created based on at least one of said received shipping options. | 0.5 |
6,061,652 | 3 | 5 | 3. A speech recognition apparatus where a system that is an object of analysis is provided with a plurality of states, comprising a code book in which a feature vector space is clustered and representative vectors of respective clusters are stored in a form searchable by labels thereof, a cluster occurrence probability storing means for storing occurrence probabilities of the respective labels in the respective states, a membership degree calculating means for calculating membership degrees of observation vectors to the respective clusters by using the code book and an observation vector occurrence degree calculating means for calculating a product sum of logarithmic values of the calculated membership degrees of the observation vectors to the respective clusters and the occurrence probabilities of the respective clusters stored in the cluster occurrence probability storing means or an amount equivalent thereto and calculating occurrence degrees of the observation vectors in the respective states of the system. | 3. A speech recognition apparatus where a system that is an object of analysis is provided with a plurality of states, comprising a code book in which a feature vector space is clustered and representative vectors of respective clusters are stored in a form searchable by labels thereof, a cluster occurrence probability storing means for storing occurrence probabilities of the respective labels in the respective states, a membership degree calculating means for calculating membership degrees of observation vectors to the respective clusters by using the code book and an observation vector occurrence degree calculating means for calculating a product sum of logarithmic values of the calculated membership degrees of the observation vectors to the respective clusters and the occurrence probabilities of the respective clusters stored in the cluster occurrence probability storing means or an amount equivalent thereto and calculating occurrence degrees of the observation vectors in the respective states of the system. 5. The speech recognition apparatus according to claim 3, wherein the membership degree calculating means calculates the membership degrees of the observation vectors to the respective clusters such that the membership degrees of the clusters having the membership degrees at a K+1 order or lower are rendered a common value that is not null and a total sum of the membership degrees is rendered 1. | 0.547727 |
8,793,273 | 20 | 21 | 20. The device of claim 18 , wherein the scope pattern defines how closely the subject, the object and annotations must be found together in the hierarchically structured document that uses tags that contain elements. | 20. The device of claim 18 , wherein the scope pattern defines how closely the subject, the object and annotations must be found together in the hierarchically structured document that uses tags that contain elements. 21. The device of claim 20 , wherein the scope pattern references multiple levels of nested tags in the hierarchically structured document. | 0.5 |
9,971,809 | 11 | 19 | 11. A system for searching unstructured documents for structured data, the system comprising: a receiving module, stored in memory, that receives a request to search unstructured documents for a document that contains: a value from a first field of a dataset; and a value from a second field of the dataset; an index-generating module, stored in memory, that generates a secure search index for searching the unstructured documents by, for each record in the dataset: identifying, within the dataset, the record's value from the first field and the record's value from the second field; generating a first hashed key from the record's value from the first field and the record's value from the second field; adding the first hashed key to the secure search index; an extracting module, stored in memory, that extracts a first token and a second token from an unstructured document; a key-generating module, stored in memory, that generates a second hashed key from the first token and the second token; a querying module, stored in memory, that queries the secure search index to determine whether the second hashed key is contained in the secure search index; a responding module, stored in memory, that responds, upon determining that the second hashed key is contained in the secure search index, to the request with information about the unstructured document; at least one physical processor configured to execute the receiving module, the index-generating module, the extracting module, the key-generating module, the querying module, and the responding module. | 11. A system for searching unstructured documents for structured data, the system comprising: a receiving module, stored in memory, that receives a request to search unstructured documents for a document that contains: a value from a first field of a dataset; and a value from a second field of the dataset; an index-generating module, stored in memory, that generates a secure search index for searching the unstructured documents by, for each record in the dataset: identifying, within the dataset, the record's value from the first field and the record's value from the second field; generating a first hashed key from the record's value from the first field and the record's value from the second field; adding the first hashed key to the secure search index; an extracting module, stored in memory, that extracts a first token and a second token from an unstructured document; a key-generating module, stored in memory, that generates a second hashed key from the first token and the second token; a querying module, stored in memory, that queries the secure search index to determine whether the second hashed key is contained in the secure search index; a responding module, stored in memory, that responds, upon determining that the second hashed key is contained in the secure search index, to the request with information about the unstructured document; at least one physical processor configured to execute the receiving module, the index-generating module, the extracting module, the key-generating module, the querying module, and the responding module. 19. The system of claim 11 , wherein: values from the first field follow a known pattern; the extracting module extracts the first token from the unstructured document by using a regular expression based on the known pattern to identify the first token within the unstructured document. | 0.906045 |
9,361,375 | 9 | 10 | 9. The method of claim 1 , further comprising: storing the first information and the second information on a client computer system associated with the user prior to receiving an indication from the user that the research document should be saved; and storing the first information and the second information on a server responsive to receiving an indication from the user that the research document should be saved. | 9. The method of claim 1 , further comprising: storing the first information and the second information on a client computer system associated with the user prior to receiving an indication from the user that the research document should be saved; and storing the first information and the second information on a server responsive to receiving an indication from the user that the research document should be saved. 10. The method of claim 9 , wherein storing the first information and the second information on the client computer system comprises: storing the first information and the second information in a Web cookie stored in local memory of the client computer system. | 0.57377 |
9,195,379 | 16 | 20 | 16. A processor readable non-transitory medium storing instructions that, when executed by a processor, cause the processor to: receive a package specification unit (PU) representative of a design of a converged infrastructure (CI) including compute, storage, network, and virtualization components, the package specification unit including compiled component readable tasks that perform operations on the CI components, the package specification unit further including: an inventory task model associated with tasks to read inventory information from the CI components; an assessment task model associated with tasks to assess the CI components; a configuration task model associated with tasks to configure the CI components; and a user input model to generate prompts to solicit and receive CI component information from a user, and provide the received information to the other package specification unit models; display a package specification unit model menu from which the package specification unit models may be selected; receive a selection of one of the package specification unit models through the package specification unit model menu; and execute one or more tasks associated with the selected package specification unit model to perform corresponding operations on the CI components. | 16. A processor readable non-transitory medium storing instructions that, when executed by a processor, cause the processor to: receive a package specification unit (PU) representative of a design of a converged infrastructure (CI) including compute, storage, network, and virtualization components, the package specification unit including compiled component readable tasks that perform operations on the CI components, the package specification unit further including: an inventory task model associated with tasks to read inventory information from the CI components; an assessment task model associated with tasks to assess the CI components; a configuration task model associated with tasks to configure the CI components; and a user input model to generate prompts to solicit and receive CI component information from a user, and provide the received information to the other package specification unit models; display a package specification unit model menu from which the package specification unit models may be selected; receive a selection of one of the package specification unit models through the package specification unit model menu; and execute one or more tasks associated with the selected package specification unit model to perform corresponding operations on the CI components. 20. The processor readable medium of claim 16 , wherein the selected task model is the assessment task model and the instructions to cause the processor to execute include instructions to cause the processor to execute a task associated with the assessment task model, and the instruction include further instructions to cause the processor to: solicit and receiving inventory information from a targeted one of the CI components; and validate the received inventory information against an expected value of the information, wherein the processor readable medium further includes instructions to cause the processor to display a pass/fail result of the validating. | 0.57707 |
8,140,549 | 2 | 25 | 2. The computer program product of claim 1 , wherein: the computer program product further comprises: program instructions, stored on at least one of the one or more storage devices, to provide by the spreadsheet a dimension type, an object of the type comprising a list of elements; and program instructions, stored on at least one of the one or more storage devices, to create in the spreadsheet a plurality of dimension objects; and the program instructions to create the multidimensional array object comprise program instructions, stored on at least one of the one or more storage devices, to assign a dimension object to each dimension of the multidimensional array object, wherein the elements of the dimension object constitute the coordinates of the array along the dimension. | 2. The computer program product of claim 1 , wherein: the computer program product further comprises: program instructions, stored on at least one of the one or more storage devices, to provide by the spreadsheet a dimension type, an object of the type comprising a list of elements; and program instructions, stored on at least one of the one or more storage devices, to create in the spreadsheet a plurality of dimension objects; and the program instructions to create the multidimensional array object comprise program instructions, stored on at least one of the one or more storage devices, to assign a dimension object to each dimension of the multidimensional array object, wherein the elements of the dimension object constitute the coordinates of the array along the dimension. 25. The computer program product of claim 2 , further comprising: program instructions, stored on at least one of the one or more storage devices, to receive from a user a specification of a change to at least one dimension object of the dimension objects assigned to the multidimensional array object and to change the at least one dimension object in response to the specification of a change; and program instructions, stored on at least one of the one or more storage devices, to automatically change the multidimensional array object based upon the change to the at least one dimension object. | 0.5 |
8,160,306 | 1 | 9 | 1. A method of analyzing a patent document, said method comprising the steps of: providing a patent document, wherein said patent document includes text data and image data comprised of a figure; providing element name data for said patent document comprising at least one element name and at least one reference numeral associated with said at least one element name; analyzing said image data of said patent document; identifying a figure reference numeral within said figure of said image data; identifying a location of said figure reference numeral within said figure; identifying an element name within said element name data that is associated with said figure reference numeral within said image data; adding said element name to said image data adjacent to said figure reference numeral; and creating a final image file that includes said image data and said element name. | 1. A method of analyzing a patent document, said method comprising the steps of: providing a patent document, wherein said patent document includes text data and image data comprised of a figure; providing element name data for said patent document comprising at least one element name and at least one reference numeral associated with said at least one element name; analyzing said image data of said patent document; identifying a figure reference numeral within said figure of said image data; identifying a location of said figure reference numeral within said figure; identifying an element name within said element name data that is associated with said figure reference numeral within said image data; adding said element name to said image data adjacent to said figure reference numeral; and creating a final image file that includes said image data and said element name. 9. The method of analyzing a patent document of claim 1 , wherein said step of adding said element name includes identifying an area adjacent said reference numeral that has less than a maximum percentage of non-white pixels. | 0.55 |
8,655,668 | 9 | 10 | 9. The system of claim 1 , wherein the processing unit is further configured to classify the received communication as having a durable importance beyond a temporal scope of a medical encounter with the patient, in which the communication is received. | 9. The system of claim 1 , wherein the processing unit is further configured to classify the received communication as having a durable importance beyond a temporal scope of a medical encounter with the patient, in which the communication is received. 10. The system of claim 9 , wherein the processing unit is further configured to store in an electronic health record a formal representation of a semantic content of the received communication classified as having the durable importance. | 0.5 |
8,412,554 | 15 | 16 | 15. The system of claim 13 , wherein the controller processor device further generates task suggestion based on task descriptions, wherein a task description comprises task external description, task properties, task functionalities and task actions. | 15. The system of claim 13 , wherein the controller processor device further generates task suggestion based on task descriptions, wherein a task description comprises task external description, task properties, task functionalities and task actions. 16. The system of claim 15 , wherein the task external description outlines task suggestions for interaction with a user. | 0.860277 |
7,720,720 | 1 | 9 | 1. A computer-based method of generating recommendations for potential purchase by a customer, comprising: generating association rules from a transaction history data set; receiving a recommendation context from a customer; using the recommendation context at a computer system to identify a plurality of candidate recommendation rules from the association rules that match the recommendation context, where each candidate recommendation rule recommends at least one recommended item; determining a score for each candidate recommendation rule using a margin value factor for the recommended item, a confidence value factor for the candidate recommendation rule and a predetermined scoring criteria factor; ranking the plurality of candidate recommendation rules using the score for each candidate recommendation rule to identify at least a highest ranking candidate recommendation rule; and issuing at least the highest ranking candidate recommendation rule as a recommendation. | 1. A computer-based method of generating recommendations for potential purchase by a customer, comprising: generating association rules from a transaction history data set; receiving a recommendation context from a customer; using the recommendation context at a computer system to identify a plurality of candidate recommendation rules from the association rules that match the recommendation context, where each candidate recommendation rule recommends at least one recommended item; determining a score for each candidate recommendation rule using a margin value factor for the recommended item, a confidence value factor for the candidate recommendation rule and a predetermined scoring criteria factor; ranking the plurality of candidate recommendation rules using the score for each candidate recommendation rule to identify at least a highest ranking candidate recommendation rule; and issuing at least the highest ranking candidate recommendation rule as a recommendation. 9. The method of claim 1 , where the step of determining a score for each candidate recommendation rule comprises decreasing the predetermined scoring criteria factor if the customer has previously researched the recommended item. | 0.676056 |
8,036,937 | 9 | 11 | 9. An article of manufacture comprising at least one data storage device having one or more computer programs stored thereon and operable on one or more computing systems to: normalize a plurality of keywords received from a source, the source being from the group: a search query and a product listing; filter the normalized plurality of keywords against one or more keyword filtration lists; produce site-specific variants of the filtered plurality of keywords; associate a plurality of levels of dimension data with each of the plurality of keywords, the plurality of levels of dimension data including information indicative of a probability that a keyword of the plurality of keywords belongs to a particular product category in a product category hierarchy, the plurality of levels of dimension data including keyword clustering dimension data, the keyword clustering dimension data including information indicative of a probability that a keyword of the plurality of keywords belongs to a particular keyword cluster of a plurality of pre-defined keyword clusters, the plurality of levels of dimension data including keyword traffic dimension data, the keyword traffic dimension data including information indicative of a probability that a keyword of the plurality of keywords was trafficked by a particular search engine, wherein the probability that a keyword of the plurality of keywords was trafficked by a particular search engine is maintained for each of a plurality of search engines, the keyword traffic dimension data including information indicative of a probability that a keyword of the plurality of keywords will achieve a predicted revenue per click level, the keyword traffic dimension data including information indicative of a value related to confirmed registered users, the keyword traffic dimension data including information indicative of a landing page related to a particular cluster of keywords; define a time period of measurement for a metric corresponding to the plurality of levels of dimension data; and store the processed plurality of keywords and dimension data in a keyword database and select at least one keyword from the stored processed plurality of keywords according to the dimension data in the keyword database. | 9. An article of manufacture comprising at least one data storage device having one or more computer programs stored thereon and operable on one or more computing systems to: normalize a plurality of keywords received from a source, the source being from the group: a search query and a product listing; filter the normalized plurality of keywords against one or more keyword filtration lists; produce site-specific variants of the filtered plurality of keywords; associate a plurality of levels of dimension data with each of the plurality of keywords, the plurality of levels of dimension data including information indicative of a probability that a keyword of the plurality of keywords belongs to a particular product category in a product category hierarchy, the plurality of levels of dimension data including keyword clustering dimension data, the keyword clustering dimension data including information indicative of a probability that a keyword of the plurality of keywords belongs to a particular keyword cluster of a plurality of pre-defined keyword clusters, the plurality of levels of dimension data including keyword traffic dimension data, the keyword traffic dimension data including information indicative of a probability that a keyword of the plurality of keywords was trafficked by a particular search engine, wherein the probability that a keyword of the plurality of keywords was trafficked by a particular search engine is maintained for each of a plurality of search engines, the keyword traffic dimension data including information indicative of a probability that a keyword of the plurality of keywords will achieve a predicted revenue per click level, the keyword traffic dimension data including information indicative of a value related to confirmed registered users, the keyword traffic dimension data including information indicative of a landing page related to a particular cluster of keywords; define a time period of measurement for a metric corresponding to the plurality of levels of dimension data; and store the processed plurality of keywords and dimension data in a keyword database and select at least one keyword from the stored processed plurality of keywords according to the dimension data in the keyword database. 11. The article of manufacture as claimed in claim 9 wherein the one or more keyword filtration lists includes a whitelist. | 0.769663 |
8,332,231 | 19 | 20 | 19. The system of claim 18 , wherein the multi-utterance transaction comprises audio. | 19. The system of claim 18 , wherein the multi-utterance transaction comprises audio. 20. The system of claim 19 , wherein the multi-utterance transaction is received from the person through a telephone system. | 0.5 |
7,676,742 | 1 | 6 | 1. A system for processing of markup language information, the system comprising: a first computer including a first data processor for receiving markup language information, identifying a part thereof for compression, assigning a label representative of the part to form compressed information representative of the mark up language information comprising the label; and a second computer including a second data processor, in communication with the first data processor, for receiving the compressed information from the first data processor, decompressing the information, identifying the label and associating the label with the part of markup language information. | 1. A system for processing of markup language information, the system comprising: a first computer including a first data processor for receiving markup language information, identifying a part thereof for compression, assigning a label representative of the part to form compressed information representative of the mark up language information comprising the label; and a second computer including a second data processor, in communication with the first data processor, for receiving the compressed information from the first data processor, decompressing the information, identifying the label and associating the label with the part of markup language information. 6. A system of claim 1 wherein the markup language information is extensible markup language (XML). | 0.862881 |
9,401,987 | 19 | 20 | 19. A computing apparatus comprising: at least one microprocessor, and memory storing instructions configured to instruct the at least one microprocessor to at least: associate, in the computing apparatus, a plurality of call-in references of a plurality of different regions with respective different language preferences, wherein each of the call-in references is local to a first one of the regions but not to at least a second one of the regions; identify, by the computing apparatus, regions in which callers reside; provide, by the computing apparatus, a listing of a callee, the listing presented to the callers in different regions including different call-in references for receiving calls from the callers, different prices of services provided by the callee via the calls connected to the callee, the prices determined based at least in part on the call-in references used to make the calls, and different user inputs about services provided by the callee in prior calls filtered according to regions in which the callers reside; receive, in the computing apparatus, the calls via the call-in references from the callers; customize, by the computing apparatus, interactive voice response prompts presented during one or more of the calls to one or more respective callers based at least in part on the language preferences associated with the call-in references via which the calls are received; and connect the calls to the callee based on responses to the interactive voice response prompts. | 19. A computing apparatus comprising: at least one microprocessor, and memory storing instructions configured to instruct the at least one microprocessor to at least: associate, in the computing apparatus, a plurality of call-in references of a plurality of different regions with respective different language preferences, wherein each of the call-in references is local to a first one of the regions but not to at least a second one of the regions; identify, by the computing apparatus, regions in which callers reside; provide, by the computing apparatus, a listing of a callee, the listing presented to the callers in different regions including different call-in references for receiving calls from the callers, different prices of services provided by the callee via the calls connected to the callee, the prices determined based at least in part on the call-in references used to make the calls, and different user inputs about services provided by the callee in prior calls filtered according to regions in which the callers reside; receive, in the computing apparatus, the calls via the call-in references from the callers; customize, by the computing apparatus, interactive voice response prompts presented during one or more of the calls to one or more respective callers based at least in part on the language preferences associated with the call-in references via which the calls are received; and connect the calls to the callee based on responses to the interactive voice response prompts. 20. The computing apparatus of claim 19 , wherein the callee specifies a single price; and the prices provided in the listing are computed based on the single price, currency exchange rates, and telecommunication costs for connecting the calls received via the call-in references to the callee. | 0.5 |
8,838,465 | 9 | 13 | 9. A system for communicating business information, comprising: at least one business information system module including at least one enterprise resource planning module; at least one interface server communicatively coupled with said at least one business information system module, said at least one interface server configured to perform steps including: causing simultaneous browser-based display of a plurality of portlets, the plurality of portlets being selected and arranged according to a user profile customizable by a user, said plurality of portlets including: a first portlet displaying first information derived from said at least one business information system module; and a second portlet displaying second information derived from said at least one business information system module; causing the browser-based display of the first information in the first portlet to be updated at first regular time intervals in accordance with a first setting in the user profile; and causing the browser-based display of the second information in the second portlet to be updated at second regular time intervals in accordance with a second setting in the user profile. | 9. A system for communicating business information, comprising: at least one business information system module including at least one enterprise resource planning module; at least one interface server communicatively coupled with said at least one business information system module, said at least one interface server configured to perform steps including: causing simultaneous browser-based display of a plurality of portlets, the plurality of portlets being selected and arranged according to a user profile customizable by a user, said plurality of portlets including: a first portlet displaying first information derived from said at least one business information system module; and a second portlet displaying second information derived from said at least one business information system module; causing the browser-based display of the first information in the first portlet to be updated at first regular time intervals in accordance with a first setting in the user profile; and causing the browser-based display of the second information in the second portlet to be updated at second regular time intervals in accordance with a second setting in the user profile. 13. A system in accordance with claim 9 , wherein the user is assigned a predefined business role selected from a plurality of predefined business roles each associated with one of a plurality of default user profiles pre-customized for the predefined business role, and the user profile of the user is initially set to the default user profile associated with the user's assigned predefined business role. | 0.5 |
8,826,282 | 2 | 3 | 2. The method of claim 1 , further comprising: the client receiving second schedule-related information from a user via the editor; the client executing at least a portion of the client-executable code to maintain the second schedule-related information in the particular editor; the client passing the second schedule-related information from the particular editor to the server; and the server storing the second schedule-related information in the database. | 2. The method of claim 1 , further comprising: the client receiving second schedule-related information from a user via the editor; the client executing at least a portion of the client-executable code to maintain the second schedule-related information in the particular editor; the client passing the second schedule-related information from the particular editor to the server; and the server storing the second schedule-related information in the database. 3. The method of claim 2 , further comprising: in response to the client requesting a web page associated with the particular editor, the server accessing at least the second schedule-related information from the database; and the server generating second client-executable code for execution by the client for displaying the web page associated with the particular editor and displaying the second schedule-related information in the web page associated with the particular editor; the server passing the second client-executable code and the second schedule-related information to the client; the client executing the second client-executable code to display the web page associated with the particular editor and displaying the second schedule-related information in the web page associated with the particular editor. | 0.5 |
7,492,366 | 1 | 2 | 1. A method of horizontally placing a subsequent glyph to a base glyph for rendering to a target device, the method comprising: placing by a computer system the base glyph, wherein the base glyph has a bounding box; vertically placing the subsequent glyph, wherein the subsequent glyph has a bounding box and wherein the subsequent glyph is not on the same baseline as the base glyph; determining by a computer system whether either glyph has predetermined cut-in values, wherein the predetermined cut-in value is not limited to a fixed number of regions or a fixed position in the bounding box; if either glyph has predetermined cut-in values, determining by a computer system a relevant predetermined cut-in value comprising evaluating at least one of: lower-right corner predetermined cut-in values associated with the base glyph, upper-right corner predetermined cut-in values associated with the base glyph, upper-left corner predetermined cut-in values associated with the subsequent glyph, and lower-left corner predetermined cut-in values associated with the subsequent glyph; determining by a computer system a relevant horizontal boundary, wherein the relevant horizontal boundary comprises at least one of: a top boundary of the base glyph, a bottom boundary of the base glyph, a top boundary of the subsequent glyph, and a bottom boundary of the subsequent glyph; and if either glyph has a relevant predetermined cut-in value, applying by a computer system the relevant predetermined cut-in value to horizontally adjust positioning of the subsequent glyph by comparing the relevant predetermined cut-in value with the relevant horizontal boundary. | 1. A method of horizontally placing a subsequent glyph to a base glyph for rendering to a target device, the method comprising: placing by a computer system the base glyph, wherein the base glyph has a bounding box; vertically placing the subsequent glyph, wherein the subsequent glyph has a bounding box and wherein the subsequent glyph is not on the same baseline as the base glyph; determining by a computer system whether either glyph has predetermined cut-in values, wherein the predetermined cut-in value is not limited to a fixed number of regions or a fixed position in the bounding box; if either glyph has predetermined cut-in values, determining by a computer system a relevant predetermined cut-in value comprising evaluating at least one of: lower-right corner predetermined cut-in values associated with the base glyph, upper-right corner predetermined cut-in values associated with the base glyph, upper-left corner predetermined cut-in values associated with the subsequent glyph, and lower-left corner predetermined cut-in values associated with the subsequent glyph; determining by a computer system a relevant horizontal boundary, wherein the relevant horizontal boundary comprises at least one of: a top boundary of the base glyph, a bottom boundary of the base glyph, a top boundary of the subsequent glyph, and a bottom boundary of the subsequent glyph; and if either glyph has a relevant predetermined cut-in value, applying by a computer system the relevant predetermined cut-in value to horizontally adjust positioning of the subsequent glyph by comparing the relevant predetermined cut-in value with the relevant horizontal boundary. 2. The method as defined in claim 1 further comprising ascertaining whether the subsequent glyph is a superscript or a subscript. | 0.890678 |
8,196,091 | 15 | 16 | 15. A computer system for implementing lightweight stereotypes in a target code, comprising: modeling means for providing a program model element written in a modeling language that defines metaclasses and has stereotypes that extend metaclasses using respective applied profiles, the program model element having one or more of applied stereotypes, the modeling means being executable by a processor; means for storing , in processor memory, keywords indicative of the applied stereotypes, the stored keywords determining which stereotypes are applied to the program model element, wherein the means for storing stores the keywords in a manner that provides correspondence between the stored keywords and the program model element, and in a manner that replaces use of the applied profiles of the applied stereotypes; and an interpreter for interpreting the stored keywords and generating target code therefrom that implements the applied stereotypes, the interpreter being executed by the processor, and said means for storing and the interpreter providing an alternative to the applied profiles. | 15. A computer system for implementing lightweight stereotypes in a target code, comprising: modeling means for providing a program model element written in a modeling language that defines metaclasses and has stereotypes that extend metaclasses using respective applied profiles, the program model element having one or more of applied stereotypes, the modeling means being executable by a processor; means for storing , in processor memory, keywords indicative of the applied stereotypes, the stored keywords determining which stereotypes are applied to the program model element, wherein the means for storing stores the keywords in a manner that provides correspondence between the stored keywords and the program model element, and in a manner that replaces use of the applied profiles of the applied stereotypes; and an interpreter for interpreting the stored keywords and generating target code therefrom that implements the applied stereotypes, the interpreter being executed by the processor, and said means for storing and the interpreter providing an alternative to the applied profiles. 16. The computer system as claimed in claim 15 wherein the modeling means includes a UML (Unified Modeling Language) model, and the interpreter employs EMF (Eclipse Modeling Framework). | 0.5 |
8,103,099 | 10 | 11 | 10. A system for providing characters and character groups from a roundel image comprising: a region analyzer for vertically-aligning electronically represented text in said roundel image; determining a point at which said roundel image starts; segmenting the vertically-aligned text into characters and character groups; and dividing said roundel image into sections according to said point; a pattern locater marking each of said character groups as flipped if said character group meets pre-determined criteria; and marking said character groups in one of said sections as unflipped if none of said character groups in said one section is flipped, or if said one section includes predetermined text that is unflipped; and an image analyzer creating an image by rearranging the underlying representation of said character groups if there are said character groups that are marked as flipped; and segmenting said image into new characters; and a provider for providing the new characters to an electronic sink according to the segmented image. | 10. A system for providing characters and character groups from a roundel image comprising: a region analyzer for vertically-aligning electronically represented text in said roundel image; determining a point at which said roundel image starts; segmenting the vertically-aligned text into characters and character groups; and dividing said roundel image into sections according to said point; a pattern locater marking each of said character groups as flipped if said character group meets pre-determined criteria; and marking said character groups in one of said sections as unflipped if none of said character groups in said one section is flipped, or if said one section includes predetermined text that is unflipped; and an image analyzer creating an image by rearranging the underlying representation of said character groups if there are said character groups that are marked as flipped; and segmenting said image into new characters; and a provider for providing the new characters to an electronic sink according to the segmented image. 11. The system as in claim 10 further comprising: a character processor for determining unflipped characters and unflipped character confidences for each character in the vertically-aligned electronically represented text; flipping the characters; determining flipped characters and flipped character confidences for the flipped characters; selecting a set of character confidences from the unflipped confidences and the flipped confidences according to predetermined criteria; summing the set of character confidences for each of the characters to compile a set of unflipped character group confidences; and summing the set of flipped character confidences for each of the flipped characters to compile a set of flipped character group confidences. | 0.509174 |
7,693,823 | 4 | 5 | 4. The method of claim 1 wherein the model is represented by the following: q t = ∑ j = 1 k A j cos ( ω j t + φ j ) + ξ t . | 4. The method of claim 1 wherein the model is represented by the following: q t = ∑ j = 1 k A j cos ( ω j t + φ j ) + ξ t . 5. The method of claim 4 wherein the model is represented in the complex domain. | 0.5 |
8,631,010 | 15 | 16 | 15. A non-transitory computer-readable medium containing instructions for execution by one or more processors, the instructions comprising: one or more instructions that, when executed by the one or more processors, cause the one or more processors to: receive a search query in a first natural language; identify, based on a content of the search query, one or more documents in the first natural language; identify one or more documents in a second natural language based on an anchor link, contained in the one or more documents in the first natural language, that links the one or more documents in the first natural language to the one or more documents in the second natural language, the second natural language being different than the first natural language; analyze content included in the one or more documents in the second natural language; and translate, based on analyzing the content included in the one or more documents in the second natural language, one or more terms of the search query into the second natural language. | 15. A non-transitory computer-readable medium containing instructions for execution by one or more processors, the instructions comprising: one or more instructions that, when executed by the one or more processors, cause the one or more processors to: receive a search query in a first natural language; identify, based on a content of the search query, one or more documents in the first natural language; identify one or more documents in a second natural language based on an anchor link, contained in the one or more documents in the first natural language, that links the one or more documents in the first natural language to the one or more documents in the second natural language, the second natural language being different than the first natural language; analyze content included in the one or more documents in the second natural language; and translate, based on analyzing the content included in the one or more documents in the second natural language, one or more terms of the search query into the second natural language. 16. The computer-readable medium of claim 15 , where the one more instructions that cause the one or more processors to translate the one or more terms of the search query include: one or more instructions to cause the one or more processors to: perform an initial translation of the one or more terms of the search query, into the second natural language, to generate possible translations of the one or more terms of the search query, and disambiguate among the possible translations of the one or more terms of the search query using the content, included in the one or more documents in the second natural language, to identify one of the possible translations as a likely translation of the one or more terms of the search query. | 0.5 |
8,595,317 | 24 | 30 | 24. A method for generating and communicating a geofeed having social media content that is aggregated from a plurality of social media content providers that obtain the social media content from users and provide the social media content to others, the method being implemented in a computer that includes one or more processors, processors, the method comprising: receiving, by the one or more processors, a request to obtain social media content aggregated from a user-selectable plurality of social media content providers based on a previously created geofeed definition, the request comprising an identification of the geofeed definition that comprises a specification of one or more geographically definable locations and at least one filter parameter; obtaining, by the one or more processors, the geofeed definition based on the received request; identifying, by the one or more processors, the user-selectable plurality of social media content providers based on the geofeed definition; determining, by the one or more processors, the specification of the one or more geographically definable locations from the geofeed definition; generating, by the one or more processors, a plurality of formatted requests each to be communicated to an application programming interface associated with a corresponding one of the user-selectable plurality of social media content providers, each formatted request being generated based on the geofeed definition and a format used by the corresponding one of the user-selectable plurality of social media content providers; communicating, by the one or more processors, the plurality of formatted requests to the application programming interface associated with the corresponding ones of the user-selectable plurality of social media content providers; receiving, by the one or more processors, a respective set of results from the user-selectable plurality of social media content providers that satisfies at least a portion of the geofeed definition; aggregating, by the one or more processors, the social media content from the respective set of results received from the user-selectable plurality of social media content providers; and communicating, by the one or more processors, the aggregated social media content. | 24. A method for generating and communicating a geofeed having social media content that is aggregated from a plurality of social media content providers that obtain the social media content from users and provide the social media content to others, the method being implemented in a computer that includes one or more processors, processors, the method comprising: receiving, by the one or more processors, a request to obtain social media content aggregated from a user-selectable plurality of social media content providers based on a previously created geofeed definition, the request comprising an identification of the geofeed definition that comprises a specification of one or more geographically definable locations and at least one filter parameter; obtaining, by the one or more processors, the geofeed definition based on the received request; identifying, by the one or more processors, the user-selectable plurality of social media content providers based on the geofeed definition; determining, by the one or more processors, the specification of the one or more geographically definable locations from the geofeed definition; generating, by the one or more processors, a plurality of formatted requests each to be communicated to an application programming interface associated with a corresponding one of the user-selectable plurality of social media content providers, each formatted request being generated based on the geofeed definition and a format used by the corresponding one of the user-selectable plurality of social media content providers; communicating, by the one or more processors, the plurality of formatted requests to the application programming interface associated with the corresponding ones of the user-selectable plurality of social media content providers; receiving, by the one or more processors, a respective set of results from the user-selectable plurality of social media content providers that satisfies at least a portion of the geofeed definition; aggregating, by the one or more processors, the social media content from the respective set of results received from the user-selectable plurality of social media content providers; and communicating, by the one or more processors, the aggregated social media content. 30. The method of claim 24 , the method further comprising: storing, by the one or more processors, at least a portion of the content or a link to the content. | 0.832632 |
8,346,759 | 19 | 25 | 19. An article of manufacture comprising at least one of a hardware device implementing logic and a computer storage media having computer executable code to cause operations to be performed, the operations comprising: accessing document identifiers for documents, wherein the documents include at least one value that is a member of a set of values; generating a number of posting lists, wherein each posting list is associated with a range of consecutive values within the set of values and includes document identifiers for documents including at least one value within the range of consecutive values associated with the posting list, and wherein each document identifier is associated with one value in the set of values included in the document identified by the document identifier; storing the generated posting lists, wherein the posting lists are used to process a query on a range of values within the set of values; receiving a query on a query range of values within the set of values; determining a minimum number of posting lists associated with consecutive values that together include the query range of values; merging the determined posting lists to form a merged posting list including document identifiers of documents including values within the query range; and returning the document identifiers in the merged posting list. | 19. An article of manufacture comprising at least one of a hardware device implementing logic and a computer storage media having computer executable code to cause operations to be performed, the operations comprising: accessing document identifiers for documents, wherein the documents include at least one value that is a member of a set of values; generating a number of posting lists, wherein each posting list is associated with a range of consecutive values within the set of values and includes document identifiers for documents including at least one value within the range of consecutive values associated with the posting list, and wherein each document identifier is associated with one value in the set of values included in the document identified by the document identifier; storing the generated posting lists, wherein the posting lists are used to process a query on a range of values within the set of values; receiving a query on a query range of values within the set of values; determining a minimum number of posting lists associated with consecutive values that together include the query range of values; merging the determined posting lists to form a merged posting list including document identifiers of documents including values within the query range; and returning the document identifiers in the merged posting list. 25. The article of manufacture of claim 19 , wherein the set of values comprises at least one of an integer and a real number. | 0.877432 |
9,811,171 | 1 | 8 | 1. A method of multimodal text input in a mobile device, the method comprising: using an original communication interface between an original keyboard module of the mobile device and a third party application to enable communication between a multimodal input module, that replaces the original keyboard module, and the third party application by: executing the multimodal input module by: steadily running the multimodal input module in the background of the mobile device and constantly monitoring in the background of the mobile device to detect when a text input field of the third party application is activated; and responding to detecting that the text input field of the third party application is activated by: activating a keyboard mode; displaying an A-Z-keyboard in a first field of a display for text input; automatically activating a camera mode when the keyboard mode is activated; capturing an image of written text having characters different from characters of the A-Z-keyboard, reducing a size of the A-Z-keyboard, displaying the A-Z-keyboard reduced in a reduced first field, and displaying the captured image with the written text in a second field of the display of the mobile device, the reduced first field and the second field together occupying a same field size as the first field; converting the captured image to character text by optical character recognition (OCR) and displaying the recognized character text on the display; and outputting a selected part of the recognized character text as the input text to the third party application receiving the input text upon a selection of the part of the recognized character text, wherein the outputting to the third party application from the multimodal input module is via the original communication interface to the third party application as between the original keyboard module and the third party application, and wherein the multimodal input module is configured to enable the respective selection to take place by a single keypress or control command, or by a single gesture. | 1. A method of multimodal text input in a mobile device, the method comprising: using an original communication interface between an original keyboard module of the mobile device and a third party application to enable communication between a multimodal input module, that replaces the original keyboard module, and the third party application by: executing the multimodal input module by: steadily running the multimodal input module in the background of the mobile device and constantly monitoring in the background of the mobile device to detect when a text input field of the third party application is activated; and responding to detecting that the text input field of the third party application is activated by: activating a keyboard mode; displaying an A-Z-keyboard in a first field of a display for text input; automatically activating a camera mode when the keyboard mode is activated; capturing an image of written text having characters different from characters of the A-Z-keyboard, reducing a size of the A-Z-keyboard, displaying the A-Z-keyboard reduced in a reduced first field, and displaying the captured image with the written text in a second field of the display of the mobile device, the reduced first field and the second field together occupying a same field size as the first field; converting the captured image to character text by optical character recognition (OCR) and displaying the recognized character text on the display; and outputting a selected part of the recognized character text as the input text to the third party application receiving the input text upon a selection of the part of the recognized character text, wherein the outputting to the third party application from the multimodal input module is via the original communication interface to the third party application as between the original keyboard module and the third party application, and wherein the multimodal input module is configured to enable the respective selection to take place by a single keypress or control command, or by a single gesture. 8. The method according to claim 1 , wherein the multimodal input module comprises two sub-modules: a first sub-module being a keyboard text input sub-module configured to execute the keyboard mode; a second sub-module being a camera text input sub-module configured to execute the camera mode; wherein the execution of the keyboard text input sub-module is independent from the execution of the camera text input sub-module, but wherein the execution of the camera text input sub-module is dependent on the execution of the keyboard text input sub-module; wherein if the camera mode is activated, at least the second field and the recognized text are visible on the display and selectable; and wherein if the keyboard text input sub-module is no longer detected to be activated, the camera mode is also deactivated. | 0.5 |
8,458,084 | 1 | 5 | 1. A method comprising: maintaining a computerized social networking system having a plurality of users including a first user and a second user; within the system: facilitating receipt of a social networking message from the first user for communication to at least the second user, the message containing a ticker symbol as input by the first user; automatically converting the ticker symbol within the message into a hyperlink; causing to display the communicated message to at least the first user and the second user, the hyperlink appearing as the ticker symbol within the displayed message, the hyperlink operative to initiate a synoptic display of financial data for a financial instrument corresponding to the ticker symbol, the synoptic display is internal to the system. | 1. A method comprising: maintaining a computerized social networking system having a plurality of users including a first user and a second user; within the system: facilitating receipt of a social networking message from the first user for communication to at least the second user, the message containing a ticker symbol as input by the first user; automatically converting the ticker symbol within the message into a hyperlink; causing to display the communicated message to at least the first user and the second user, the hyperlink appearing as the ticker symbol within the displayed message, the hyperlink operative to initiate a synoptic display of financial data for a financial instrument corresponding to the ticker symbol, the synoptic display is internal to the system. 5. The method of claim 1 , wherein the system including a personal portfolio for one of the users, the portfolio containing the ticker symbol, the portfolio concurrently displaying with a secure link for direct entry into a trading house system in order to place an order for the financial instrument, the trading house executing the placed order, the one of the users selecting extent of the portfolio data sharing with other system users. | 0.609929 |
9,361,134 | 8 | 11 | 8. A computer program product, comprising: a computer readable memory; and a computer readable program code stored in the computer readable memory, the computer readable program code containing instructions that are executed by a central processing unit (CPU) of a computer system to implement a method of validating translated files for inclusion in an application being developed, the method comprising the steps of: the computer system sending a translatable file having externalized content in a single base natural language to a plurality of other computer systems, wherein the externalized content is external to code of the application being developed; in response to a generation of a first translated file including a first translation of the externalized content into a natural language other than the base natural language by another computer system included in the plurality of other computer systems, the computer system receiving the first translated file from the other computer system; in a simulation environment, a processor of the computer system simulating a loading of the first translation of the externalized content into a user interface of the application at a runtime of the application and simulating a presentation of the first translation of the externalized content in the user interface at the runtime, by calling one or more functions included in the application, without an actual presentation of the first translation of the externalized content in the user interface, wherein an execution at the runtime of the one or more functions displays the externalized content in the user interface; the computer system determining whether the simulating of the loading of the first translation of the externalized content into the user interface and the simulating of the presentation of the first translation of the externalized content in the user interface by the calling the one or more functions indicates an error condition that causes the application to stop running at the runtime; based in part on the error condition being indicated by the simulating of the loading of the first translation and the simulating of the presentation of the first translation, the computer system: determining the first translation of the externalized content includes a syntax error that causes the error condition, and initiating a correction of the syntax error by sending the report to the other computer system, wherein the syntax error includes at least one of: (1) a first key included in the first translated file is not matched with exactly one corresponding first value in the first translated file, the first translated file being a first property file including first key-value pairs including the first key and the first value as one of the pairs; (2) a second key in the translatable file is not in the first translated file, the translatable file being a second property file including second key-value pairs, one of the second key-value pairs including the second key; and (3) one or more placeholders in the first translated file are not matched to respective one or more placeholders in the translatable file, the one or more placeholders in the first translated file and the one or more placeholders in the translatable file providing variable substitution by being filled in with actual values by the code of the application at the runtime; and in response to a receipt by the computer system of a second translation of the externalized content which includes the correction of the syntax error, the second translation included in a second translated file generated by the other computer system: the computer system simulating a loading of the second translation of the externalized content into the user interface of the application at the runtime and simulating a presentation of the second translation of the externalized content in the user interface at the runtime, by calling the one or more functions; the computer system determining whether the simulating of the loading of the second translation and the simulating of the presentation of the second translation by the calling the one or more functions indicates the error condition that causes the application to stop running at the runtime; and based in part on the error condition not being indicated by the simulating of the loading of the second translation and the simulating of the presentation of the second translation, the computer system at the runtime presenting the second translation of the externalized content in the user interface without causing the application to stop running at the runtime. | 8. A computer program product, comprising: a computer readable memory; and a computer readable program code stored in the computer readable memory, the computer readable program code containing instructions that are executed by a central processing unit (CPU) of a computer system to implement a method of validating translated files for inclusion in an application being developed, the method comprising the steps of: the computer system sending a translatable file having externalized content in a single base natural language to a plurality of other computer systems, wherein the externalized content is external to code of the application being developed; in response to a generation of a first translated file including a first translation of the externalized content into a natural language other than the base natural language by another computer system included in the plurality of other computer systems, the computer system receiving the first translated file from the other computer system; in a simulation environment, a processor of the computer system simulating a loading of the first translation of the externalized content into a user interface of the application at a runtime of the application and simulating a presentation of the first translation of the externalized content in the user interface at the runtime, by calling one or more functions included in the application, without an actual presentation of the first translation of the externalized content in the user interface, wherein an execution at the runtime of the one or more functions displays the externalized content in the user interface; the computer system determining whether the simulating of the loading of the first translation of the externalized content into the user interface and the simulating of the presentation of the first translation of the externalized content in the user interface by the calling the one or more functions indicates an error condition that causes the application to stop running at the runtime; based in part on the error condition being indicated by the simulating of the loading of the first translation and the simulating of the presentation of the first translation, the computer system: determining the first translation of the externalized content includes a syntax error that causes the error condition, and initiating a correction of the syntax error by sending the report to the other computer system, wherein the syntax error includes at least one of: (1) a first key included in the first translated file is not matched with exactly one corresponding first value in the first translated file, the first translated file being a first property file including first key-value pairs including the first key and the first value as one of the pairs; (2) a second key in the translatable file is not in the first translated file, the translatable file being a second property file including second key-value pairs, one of the second key-value pairs including the second key; and (3) one or more placeholders in the first translated file are not matched to respective one or more placeholders in the translatable file, the one or more placeholders in the first translated file and the one or more placeholders in the translatable file providing variable substitution by being filled in with actual values by the code of the application at the runtime; and in response to a receipt by the computer system of a second translation of the externalized content which includes the correction of the syntax error, the second translation included in a second translated file generated by the other computer system: the computer system simulating a loading of the second translation of the externalized content into the user interface of the application at the runtime and simulating a presentation of the second translation of the externalized content in the user interface at the runtime, by calling the one or more functions; the computer system determining whether the simulating of the loading of the second translation and the simulating of the presentation of the second translation by the calling the one or more functions indicates the error condition that causes the application to stop running at the runtime; and based in part on the error condition not being indicated by the simulating of the loading of the second translation and the simulating of the presentation of the second translation, the computer system at the runtime presenting the second translation of the externalized content in the user interface without causing the application to stop running at the runtime. 11. The computer program product of claim 8 , wherein the steps of simulating the loading of the second translation of the externalized content into the user interface of the application at the runtime and simulating the presentation of the second translation of the externalized content in the user interface at the runtime are performed without an actual presentation of the second translation of the externalized content in the user interface. | 0.821171 |
9,576,046 | 1 | 10 | 1. A method for integrating semantic search, query, and analysis across heterogeneous data sets, the method comprising: presenting, via a graphical user interface, an input field for a search engine that accesses, in a single search, a plurality of indexes generated from heterogeneous data sets associated with a plurality of data servers, wherein the heterogeneous data sets comprise i) time series data originating from a plurality of monitored physical assets and ii) unstructured data associated with the monitored physical assets, the unstructured data having no predefined organization, and wherein the search engine accesses, in the same single search, from a portion of the plurality of data servers, a model maintained at the portion of the plurality of data servers, the model comprising i) one or more properties that describe a given monitored physical asset and ii) one or more model entity types that define a hierarchical relationship among the plurality of monitored physical assets; in response to receiving, in the input field of the graphical user interface, one or more search keywords: searching, by a computing device, across the plurality of indexes of the unstructured data associated with the monitored physical assets, to determine one or more result sets for each of the plurality of indexes of the unstructured data having matched portions of the one or more search keywords; searching, by the computing device, across the plurality of indexes of the time series data associated with the monitored physical assets, to determine one or more model entity types or properties associated with the each of the time series data having matched portions of the one or more search keywords; and searching, by the computing device, one or more added facets added to each of the obtained results sets based on the matched one or more model entity types or the matched one or more properties; and presenting, via the graphical user interface, i) a first graphical object associated with each matched monitored physical asset of the plurality of monitored physical assets, ii) a second graphical object associated with each matched unstructured data associated with the monitored physical assets, wherein the second graphical object is selectable to present the matched unstructured data associated with the monitored physical assets, and iii) a third graphical object associated with each matched facets, wherein the third graphical object is selectable to present a graphical presentation of the matched facets according to an automatically identified visualization technique. | 1. A method for integrating semantic search, query, and analysis across heterogeneous data sets, the method comprising: presenting, via a graphical user interface, an input field for a search engine that accesses, in a single search, a plurality of indexes generated from heterogeneous data sets associated with a plurality of data servers, wherein the heterogeneous data sets comprise i) time series data originating from a plurality of monitored physical assets and ii) unstructured data associated with the monitored physical assets, the unstructured data having no predefined organization, and wherein the search engine accesses, in the same single search, from a portion of the plurality of data servers, a model maintained at the portion of the plurality of data servers, the model comprising i) one or more properties that describe a given monitored physical asset and ii) one or more model entity types that define a hierarchical relationship among the plurality of monitored physical assets; in response to receiving, in the input field of the graphical user interface, one or more search keywords: searching, by a computing device, across the plurality of indexes of the unstructured data associated with the monitored physical assets, to determine one or more result sets for each of the plurality of indexes of the unstructured data having matched portions of the one or more search keywords; searching, by the computing device, across the plurality of indexes of the time series data associated with the monitored physical assets, to determine one or more model entity types or properties associated with the each of the time series data having matched portions of the one or more search keywords; and searching, by the computing device, one or more added facets added to each of the obtained results sets based on the matched one or more model entity types or the matched one or more properties; and presenting, via the graphical user interface, i) a first graphical object associated with each matched monitored physical asset of the plurality of monitored physical assets, ii) a second graphical object associated with each matched unstructured data associated with the monitored physical assets, wherein the second graphical object is selectable to present the matched unstructured data associated with the monitored physical assets, and iii) a third graphical object associated with each matched facets, wherein the third graphical object is selectable to present a graphical presentation of the matched facets according to an automatically identified visualization technique. 10. The method of claim 1 , wherein at least one of the plurality of data servers is selected from the group consisting of enterprise resource planning systems, portals, business intelligence systems, and manufacturing intelligence systems. | 0.741379 |
8,145,854 | 16 | 17 | 16. A food processing system for making prepared meals, comprising: a means for parsing machine-independent recipes from a knowledge base comprising one or more recipes; a means for converting recipes into one or more sequences of one or more instructions for one or more pieces of automated food preparation equipment; a means for selecting an appropriate automated food preparation system to use for the one or more sequences of one or more instructions; a means for transmitting the one or more sequences of one or more instructions to the appropriate automated food preparation equipment at designated times to achieve preparation of a selected recipe from the knowledge base. | 16. A food processing system for making prepared meals, comprising: a means for parsing machine-independent recipes from a knowledge base comprising one or more recipes; a means for converting recipes into one or more sequences of one or more instructions for one or more pieces of automated food preparation equipment; a means for selecting an appropriate automated food preparation system to use for the one or more sequences of one or more instructions; a means for transmitting the one or more sequences of one or more instructions to the appropriate automated food preparation equipment at designated times to achieve preparation of a selected recipe from the knowledge base. 17. The system of claim 16 , further comprising a means for automatically ordering one or more ingredients over the Internet needed for the selected recipe. | 0.648649 |
8,977,555 | 16 | 17 | 16. A non-transitory computer readable medium comprising executable code that, when executed by a processor, causes a computing device to perform a process comprising: transmitting, to a client device: an audio presentation comprising a first portion and a second portion, wherein the first portion corresponds to a first item and the second portion corresponds to a second item; a first marker corresponding to the first item; and a second marker corresponding to the second item; receiving, from the client device: audio data comprising a user utterance; and marker data comprising the first marker or the second marker; and selecting an item based at least on the marker data or the audio data, wherein the selected item comprises the first item or the second item. | 16. A non-transitory computer readable medium comprising executable code that, when executed by a processor, causes a computing device to perform a process comprising: transmitting, to a client device: an audio presentation comprising a first portion and a second portion, wherein the first portion corresponds to a first item and the second portion corresponds to a second item; a first marker corresponding to the first item; and a second marker corresponding to the second item; receiving, from the client device: audio data comprising a user utterance; and marker data comprising the first marker or the second marker; and selecting an item based at least on the marker data or the audio data, wherein the selected item comprises the first item or the second item. 17. The non-transitory computer readable medium of claim 16 , wherein the marker data and the audio data are received in a single data stream. | 0.736059 |
8,463,738 | 7 | 9 | 7. An attribute extraction system, comprising: a document storage having documents stored therein; an attribute group extracting section, implemented by a processor, configured to extract the document including an input word inputted by a user from said document storage, delimits said extracted document into strings or images based upon a predetermined rule, and calculates a drawing position of each of said delimited strings or images, and extracts a group of the strings or images of which said calculated drawing positions are arranged in one direction as an attribute group; an attribute name group selector, implemented by the processor, configured to calculate an attribute name score indicative of an extent to which said attribute group is an aggregation of attribute names based upon a statistical index employing the appearance number of each word in all of the attribute groups that is obtained from said delimited strings or images of said attribute group, and selects an attribute name group from said attribute group based upon said attribute name score; and an attribute extracting section, implemented by the processor, configured to select, from said extracted attribute group, the attribute group in which the strings or images identical to said delimited strings or images of said attribute name group are contained, and the drawing position of the above identical string or image is identical to that of said attribute name group, and extracts au attribute name from the strings or images of which the drawing position is identical between said attribute name group and said selected attribute group, and extracts an attribute value corresponding to said extracted attribute name from the strings or images of the said selected attribute group except for the string or image corresponding to said extracted attribute name. | 7. An attribute extraction system, comprising: a document storage having documents stored therein; an attribute group extracting section, implemented by a processor, configured to extract the document including an input word inputted by a user from said document storage, delimits said extracted document into strings or images based upon a predetermined rule, and calculates a drawing position of each of said delimited strings or images, and extracts a group of the strings or images of which said calculated drawing positions are arranged in one direction as an attribute group; an attribute name group selector, implemented by the processor, configured to calculate an attribute name score indicative of an extent to which said attribute group is an aggregation of attribute names based upon a statistical index employing the appearance number of each word in all of the attribute groups that is obtained from said delimited strings or images of said attribute group, and selects an attribute name group from said attribute group based upon said attribute name score; and an attribute extracting section, implemented by the processor, configured to select, from said extracted attribute group, the attribute group in which the strings or images identical to said delimited strings or images of said attribute name group are contained, and the drawing position of the above identical string or image is identical to that of said attribute name group, and extracts au attribute name from the strings or images of which the drawing position is identical between said attribute name group and said selected attribute group, and extracts an attribute value corresponding to said extracted attribute name from the strings or images of the said selected attribute group except for the string or image corresponding to said extracted attribute name. 9. The attribute extraction system according to claim 7 , wherein said attribute name group selector is further configured to select the attribute group having said attribute name score larger than a predetermined threshold as an attribute name group. | 0.845062 |
7,958,151 | 24 | 25 | 24. A system for updating an address book, the system comprising: a digital signal processor configured to receive voice input entries for a plurality of contact records, each contact record including at least one contact name, relationship data, and contact data, the digital signal processor further configured to convert the voice input entries for each contact record to phoneme format; and a processor configured to deduce a relationship between a first contact record and a second contact record using at least one relationship definition and the relationship data related to the first and second contact records, wherein the relationship is based on relationship data between the first contact and a third contact and between the second contact and the third contact, and, wherein the processor is further configured, based on the deduced relationship, to update the contact data in the first contact record based on the relationship between the first contact record and the second contact record. | 24. A system for updating an address book, the system comprising: a digital signal processor configured to receive voice input entries for a plurality of contact records, each contact record including at least one contact name, relationship data, and contact data, the digital signal processor further configured to convert the voice input entries for each contact record to phoneme format; and a processor configured to deduce a relationship between a first contact record and a second contact record using at least one relationship definition and the relationship data related to the first and second contact records, wherein the relationship is based on relationship data between the first contact and a third contact and between the second contact and the third contact, and, wherein the processor is further configured, based on the deduced relationship, to update the contact data in the first contact record based on the relationship between the first contact record and the second contact record. 25. The system of claim 24 wherein the digital signal processor is further configured to receive a voice input request to access a contact record at a particular time of day, and the processor is further configured to compare the voice input request to stored phoneme formats for the contact records to identify a matched contact record and to provide contact data of the matched contact record, the contact data correlating to the particular time of day of the voice input request. | 0.5 |
7,533,338 | 1 | 15 | 1. A computer-implemented method for asynchronous receipt and processing of electronic ink annotation of a document, comprising: generating a first analysis context object, the first analysis context object providing a translation layer for a document model of a current state of a relationship of elements in the document and comprising a tree data structure for storing document elements in a hierarchical relationship; staffing a first thread, wherein the first thread updates the first analysis context object based upon a user interaction with the document, the user interaction including electronic ink annotation; upon an event requiring analysis of new data in the document: suspending execution of the first thread so as to prevent changes to the first analysis context object; starting a second thread, wherein the second thread generates a second analysis context object corresponding to a portion of the first analysis context object, wherein the portion corresponds to a designated region of the document; upon completion of generation of the second analysis context object: suspending execution of the second thread; restarting the first thread; performing a first analysis of the second analysis context object to generate a third analysis context object from the second analysis context object, wherein the third analysis context object is generated by parsing the new data and modifying the second analysis context object based on the new data and further includes classification information for the new data; upon completion of the first analysis: suspending execution of the first thread so as to prevent any changes to the first analysis context object; starting a third thread, wherein the third thread reconciles the third analysis context object with the first analysis context object to generate first reconciled analysis results; upon completion of the reconciliation of the first analysis context object and the third analysis context object: updating the first analysis context object with the first reconciled analysis results; suspending execution of the third threat; and restarting the first thread. | 1. A computer-implemented method for asynchronous receipt and processing of electronic ink annotation of a document, comprising: generating a first analysis context object, the first analysis context object providing a translation layer for a document model of a current state of a relationship of elements in the document and comprising a tree data structure for storing document elements in a hierarchical relationship; staffing a first thread, wherein the first thread updates the first analysis context object based upon a user interaction with the document, the user interaction including electronic ink annotation; upon an event requiring analysis of new data in the document: suspending execution of the first thread so as to prevent changes to the first analysis context object; starting a second thread, wherein the second thread generates a second analysis context object corresponding to a portion of the first analysis context object, wherein the portion corresponds to a designated region of the document; upon completion of generation of the second analysis context object: suspending execution of the second thread; restarting the first thread; performing a first analysis of the second analysis context object to generate a third analysis context object from the second analysis context object, wherein the third analysis context object is generated by parsing the new data and modifying the second analysis context object based on the new data and further includes classification information for the new data; upon completion of the first analysis: suspending execution of the first thread so as to prevent any changes to the first analysis context object; starting a third thread, wherein the third thread reconciles the third analysis context object with the first analysis context object to generate first reconciled analysis results; upon completion of the reconciliation of the first analysis context object and the third analysis context object: updating the first analysis context object with the first reconciled analysis results; suspending execution of the third threat; and restarting the first thread. 15. A computer-readable storage medium including computer-executable instructions, the instructions when executed performing the method of claim 1 . | 0.857143 |
8,996,687 | 13 | 16 | 13. A tangible computer readable memory comprising machine readable instructions which, when executed, cause a device to perform operations comprising: obtaining, from a context service in response to a query sent by the device, context information provisioned for a current location, the context information identifying a computing resource associated with the current location; and configuring interaction with the computing resource associated with the current location based on the context information received from the context service, wherein the context service is remote relative to the current location and maintains context profiles for a plurality of different geographically separated locations, and the context information is obtained from a first context profile provisioned for the current location. | 13. A tangible computer readable memory comprising machine readable instructions which, when executed, cause a device to perform operations comprising: obtaining, from a context service in response to a query sent by the device, context information provisioned for a current location, the context information identifying a computing resource associated with the current location; and configuring interaction with the computing resource associated with the current location based on the context information received from the context service, wherein the context service is remote relative to the current location and maintains context profiles for a plurality of different geographically separated locations, and the context information is obtained from a first context profile provisioned for the current location. 16. The tangible computer readable memory of claim 13 , wherein the operations further comprise including device descriptive information, application descriptive information and identity information in the query. | 0.793372 |
8,854,655 | 10 | 14 | 10. An image forming apparatus to add additional information to a first document, which is an object document, comprising: a receiving unit to receive the first document; a storing unit in which at least one of the group consisting of the received first document, a second document to which the additional information is added, at least one pattern corresponding to a property of the additional information, and at least one document box is stored; a user interface to receive a property of the additional information that is set in each of the at least one document box; and a control unit to store the first document to one of the at least one document box according to a property of the first document and generate the second document by inserting additional information corresponding to the property set in each of the at least one document box, in which the first document is stored, to the first document. | 10. An image forming apparatus to add additional information to a first document, which is an object document, comprising: a receiving unit to receive the first document; a storing unit in which at least one of the group consisting of the received first document, a second document to which the additional information is added, at least one pattern corresponding to a property of the additional information, and at least one document box is stored; a user interface to receive a property of the additional information that is set in each of the at least one document box; and a control unit to store the first document to one of the at least one document box according to a property of the first document and generate the second document by inserting additional information corresponding to the property set in each of the at least one document box, in which the first document is stored, to the first document. 14. The image forming apparatus of claim 10 , wherein the receiving unit receives at least one of the group consisting of scanning data obtained through scanning, fax data received via a fax, copy data obtained through copying, data received from a portable storage medium connected to the image forming apparatus, received e-mail data, and data received from a host device corresponding to the image forming apparatus, as the first document, which is an object document. | 0.5 |
9,542,479 | 11 | 14 | 11. A navigation system comprising: a control unit including a processor for: calculating a position factor based on a point of interest term generated from a brand name or a standard industry code description of a categorized point of interest; generating a point of interest term from the brand name and the standard industry code description associated with an uncategorized point of interest; applying a statistical rule to the point of interest term from the uncategorized point of interest to generate a category score for the point of interest term; determining a normalized category score based on matching between the point of interest term from the categorized point of interest and the point of interest term from the uncategorized point of interest; generating a category identifier for the uncategorized point of interest; and a communication unit including microelectronic, coupled to the control unit, for transmitting the category identifier for display on a device. | 11. A navigation system comprising: a control unit including a processor for: calculating a position factor based on a point of interest term generated from a brand name or a standard industry code description of a categorized point of interest; generating a point of interest term from the brand name and the standard industry code description associated with an uncategorized point of interest; applying a statistical rule to the point of interest term from the uncategorized point of interest to generate a category score for the point of interest term; determining a normalized category score based on matching between the point of interest term from the categorized point of interest and the point of interest term from the uncategorized point of interest; generating a category identifier for the uncategorized point of interest; and a communication unit including microelectronic, coupled to the control unit, for transmitting the category identifier for display on a device. 14. The system as claimed in claim 11 wherein the control unit is for: generating the point of interest term from the brand name by separating each word in the brand name by blank spaces; and generating the point of interest term from the standard industry code description by separating the standard industry code description into nodes and separating each word in the node by blank spaces. | 0.729972 |
7,957,968 | 1 | 7 | 1. A computer based method for automatically generating a hierarchical grammar associated with a plurality of tasks comprising the steps of: creating a sub-grammar for each of the plurality of tasks, wherein creating a sub-grammar for a task comprises: receiving data representing the task based from responses received from a distributed database; automatically tagging the data into parts of speech to form tagged data using a processor executing instructions included in a memory coupled to the processor; identifying filler words and core words from said tagged data by applying rules to differentiate between filler words and core words using the processor executing instructions included in the memory coupled to the processor; automatically modeling sentence structure based upon said tagged data using a set of modeling rules retrieved from the memory coupled to the processor; automatically identifying synonyms of said core words; and automatically creating a sub-grammar using the modeled sentence structure, the tagged data, the identified synonyms, and the identified core words; and creating a high-level grammar by combining filler words identified in the creation of the sub-grammars. | 1. A computer based method for automatically generating a hierarchical grammar associated with a plurality of tasks comprising the steps of: creating a sub-grammar for each of the plurality of tasks, wherein creating a sub-grammar for a task comprises: receiving data representing the task based from responses received from a distributed database; automatically tagging the data into parts of speech to form tagged data using a processor executing instructions included in a memory coupled to the processor; identifying filler words and core words from said tagged data by applying rules to differentiate between filler words and core words using the processor executing instructions included in the memory coupled to the processor; automatically modeling sentence structure based upon said tagged data using a set of modeling rules retrieved from the memory coupled to the processor; automatically identifying synonyms of said core words; and automatically creating a sub-grammar using the modeled sentence structure, the tagged data, the identified synonyms, and the identified core words; and creating a high-level grammar by combining filler words identified in the creation of the sub-grammars. 7. The method of claim 1 , wherein said parts of speech include verbs and nouns. | 0.685039 |
9,514,746 | 17 | 21 | 17. A method of mitigating hazards in a voice-driven control system for controlling a medical device in an operating room, comprising the steps of: providing a medical device; providing a database including a plurality of rules, a first one of the plurality of rules immediately stopping a system or device activity if one or more speech commands is begun within a predetermined period of time after the activity was commenced, and a second one of the plurality of rules alerting if a disconnection with a microphone is detected; receiving an audio input including the one or more speech commands; identifying at least one event of the audio input; determining a system status including actions currently being performed by devices; determining whether hazard mitigation is necessary based on a comparison of the at least one event, the system status, and at least one rule; and if having determined that hazard mitigation is necessary, sending a control command to the medical device in communication with the voice-driven control system instructing it to perform an action. | 17. A method of mitigating hazards in a voice-driven control system for controlling a medical device in an operating room, comprising the steps of: providing a medical device; providing a database including a plurality of rules, a first one of the plurality of rules immediately stopping a system or device activity if one or more speech commands is begun within a predetermined period of time after the activity was commenced, and a second one of the plurality of rules alerting if a disconnection with a microphone is detected; receiving an audio input including the one or more speech commands; identifying at least one event of the audio input; determining a system status including actions currently being performed by devices; determining whether hazard mitigation is necessary based on a comparison of the at least one event, the system status, and at least one rule; and if having determined that hazard mitigation is necessary, sending a control command to the medical device in communication with the voice-driven control system instructing it to perform an action. 21. The method of claim 17 , wherein the event is an audio input error. | 0.816062 |
8,656,276 | 9 | 10 | 9. An image forming apparatus, comprising: an accepting unit that accepts a copying instruction to copy a first medium, the first medium comprising a first page of the first medium having printed thereon an image of a first page of an electronic document and a second page of the first medium having printed thereon an image of a second page of the electronic document; an image reading unit that reads the image of the first page of the electronic document and the second page of the electronic document from the first page and the second page of the first medium in compliance with the copying instruction; a layout acquisition unit that acquires layout information when the image of the first page of the electronic document and the image of a second page of the electronic document are to be formed on a second medium, the layout information indicating an n-up arrangement in which the first page of the electronic document is to be printed on a single page of the second medium and the second page of the electronic document is to be printed on the single page of the second medium; a print unit that forms the image of the first page of the electronic document and the image of the second page of the electronic document on the single page of the second medium in the n-up arrangement on the basis of the layout information; an information generation unit that generates correspondent information comprising a first coordinate position on the second medium at which the image of the first page of the electronic document is to be printed and a second coordinate position on the second medium at which the image of the second page of the electronic document is to be printed, on the basis of the n-up arrangement of the first page of the electronic document and the second page of the electronic document on the single page of medium indicated by layout information; and a management unit that receives a request from a pen device to modify the electronic document, the request comprising a position of the pen device on the single page of the second medium having the first page of the electronic document and the second page of the electronic document printed thereon at which an annotation is added to the single page of the second medium, the annotation comprising a character or a pattern recorded on the single page of medium by the pen device, determines a position on one of the first page of the electronic document and the second page of the electronic document at which the annotation is added based on the position on the single page of the second medium and the correspondent information, and modifies the electronic document to include the annotation at the position on the one of the first page of the electronic document and the second page of the electronic document. | 9. An image forming apparatus, comprising: an accepting unit that accepts a copying instruction to copy a first medium, the first medium comprising a first page of the first medium having printed thereon an image of a first page of an electronic document and a second page of the first medium having printed thereon an image of a second page of the electronic document; an image reading unit that reads the image of the first page of the electronic document and the second page of the electronic document from the first page and the second page of the first medium in compliance with the copying instruction; a layout acquisition unit that acquires layout information when the image of the first page of the electronic document and the image of a second page of the electronic document are to be formed on a second medium, the layout information indicating an n-up arrangement in which the first page of the electronic document is to be printed on a single page of the second medium and the second page of the electronic document is to be printed on the single page of the second medium; a print unit that forms the image of the first page of the electronic document and the image of the second page of the electronic document on the single page of the second medium in the n-up arrangement on the basis of the layout information; an information generation unit that generates correspondent information comprising a first coordinate position on the second medium at which the image of the first page of the electronic document is to be printed and a second coordinate position on the second medium at which the image of the second page of the electronic document is to be printed, on the basis of the n-up arrangement of the first page of the electronic document and the second page of the electronic document on the single page of medium indicated by layout information; and a management unit that receives a request from a pen device to modify the electronic document, the request comprising a position of the pen device on the single page of the second medium having the first page of the electronic document and the second page of the electronic document printed thereon at which an annotation is added to the single page of the second medium, the annotation comprising a character or a pattern recorded on the single page of medium by the pen device, determines a position on one of the first page of the electronic document and the second page of the electronic document at which the annotation is added based on the position on the single page of the second medium and the correspondent information, and modifies the electronic document to include the annotation at the position on the one of the first page of the electronic document and the second page of the electronic document. 10. The image forming apparatus as defined in claim 9 , wherein the print unit forms a code image indicating the first position and the second position on the single page of the second medium. | 0.677852 |
8,032,372 | 2 | 3 | 2. The computer-readable medium of claim 1 wherein the instructions further cause a computer to: compute an actual correction rate by comparing the draft medical transcription associated with the dictation and a corresponding edited transcription, and counting a number of changes to produce the edited transcription from the draft medical transcription; and compute a correction rate prediction error by comparing the predicted correction rate to the actual correction rate. | 2. The computer-readable medium of claim 1 wherein the instructions further cause a computer to: compute an actual correction rate by comparing the draft medical transcription associated with the dictation and a corresponding edited transcription, and counting a number of changes to produce the edited transcription from the draft medical transcription; and compute a correction rate prediction error by comparing the predicted correction rate to the actual correction rate. 3. The computer-readable medium of claim 2 wherein the instructions further cause a computer to modify the correction rate predictor to reduce the prediction error between the predicted correction rate and the actual correction rate. | 0.594077 |
9,009,687 | 4 | 5 | 4. The method according to claim 1 , further comprising: monitoring, by the processor, each request of loading a definition of a new candidate type from the target software component, and updating by the processor, the plurality of available candidate types according to each monitored request. | 4. The method according to claim 1 , further comprising: monitoring, by the processor, each request of loading a definition of a new candidate type from the target software component, and updating by the processor, the plurality of available candidate types according to each monitored request. 5. The method according to claim 4 , wherein the plurality of available candidate types are a plurality of available candidate classes, wherein the target object is an instance of a selected candidate class, and wherein monitoring each request of loading the definition of the new candidate type from the target software component further comprises: receiving, by the processor, each request of loading the definition of a new candidate class from the target software component by a class loader, wherein the class loader controls the execution of the step of updating the plurality of available candidate classes according to each monitored request. | 0.5 |
9,003,278 | 1 | 8 | 1. A computer implemented method comprising: receiving a markup language document specifying a user interface for interacting with a user; receiving a specification comprising a mapping from sets of node types to sets of handlers, wherein each set of node types specified in the mapping is mapped to a set of handlers; representing the markup language document using a hierarchical structure of nodes representing elements of the markup language document and edges connecting the nodes, wherein the hierarchical structure comprises: a subset of nodes mapped to node types; and a root node connected with other nodes via paths comprising nodes and edges; receiving a user input associated with a selected node; identifying a set of node types encountered in a path connecting the root node with the selected node; identifying a set of handlers mapped to the identified set of node types based on the mapping; and executing the handlers in the identified set of handlers. | 1. A computer implemented method comprising: receiving a markup language document specifying a user interface for interacting with a user; receiving a specification comprising a mapping from sets of node types to sets of handlers, wherein each set of node types specified in the mapping is mapped to a set of handlers; representing the markup language document using a hierarchical structure of nodes representing elements of the markup language document and edges connecting the nodes, wherein the hierarchical structure comprises: a subset of nodes mapped to node types; and a root node connected with other nodes via paths comprising nodes and edges; receiving a user input associated with a selected node; identifying a set of node types encountered in a path connecting the root node with the selected node; identifying a set of handlers mapped to the identified set of node types based on the mapping; and executing the handlers in the identified set of handlers. 8. The computer implemented method of claim 1 , wherein a handler function is specified in a scripting language. | 0.806228 |
7,543,032 | 1 | 5 | 1. In a computing environment comprising a messaging system and one or more data sources, an apparatus for associating messages with data comprising: an association manager capable of interfacing with an electronic mail messaging system and one or more data sources, said association manager configured to obtain an electronic mail message and to create an association between one or more elements of said electronic mail message with one or more elements of data from said data sources, said association manager further configured to analyze said electronic message to determine one or more external data sources from which said one or more elements of data are to be retrieved, wherein said one or more elements of data comprise workflow data associated with an order in which activities associated with a given task are completed, and wherein said association manager is configured to facilitate workflow management by providing a context for said one or more elements of said electronic mail message and said one or more elements of data; and a user interface enabling a user to create one or more sensory cues indicative of said association of one or more elements of said electronic mail message with said one or more elements of data from said data sources. | 1. In a computing environment comprising a messaging system and one or more data sources, an apparatus for associating messages with data comprising: an association manager capable of interfacing with an electronic mail messaging system and one or more data sources, said association manager configured to obtain an electronic mail message and to create an association between one or more elements of said electronic mail message with one or more elements of data from said data sources, said association manager further configured to analyze said electronic message to determine one or more external data sources from which said one or more elements of data are to be retrieved, wherein said one or more elements of data comprise workflow data associated with an order in which activities associated with a given task are completed, and wherein said association manager is configured to facilitate workflow management by providing a context for said one or more elements of said electronic mail message and said one or more elements of data; and a user interface enabling a user to create one or more sensory cues indicative of said association of one or more elements of said electronic mail message with said one or more elements of data from said data sources. 5. The apparatus of claim 1 , wherein said association manager is configured to obtain one or more descriptives from said electronic mail message and identify said one or more data sources based on said one or more descriptives. | 0.636943 |
8,849,812 | 1 | 3 | 1. A system, comprising: a processor configured to: determine a topic based on a user demand, wherein the determining of the topic comprises: determine frequencies of phrases based on an analysis of a search query log from a web site, a search query log from a search engine, or a combination thereof; compare the frequencies of the phrases to a predetermined threshold; determine at least one theme based on phrases having frequencies exceeding the predetermined threshold; sort the at least one theme based on common words in the phrases; cluster the at least one theme based on a clustering technique, the clustering technique being a min hash clustering or a n-squared clustering based on bi-grams; and determine the topic based on the clustered at least one theme; automatically generate content for the topic; and select the content that is contextually relevant for display within a corpus of content, wherein the content is optimized for the topic; wherein the corpus of content includes a web site, a user's social networking web page, content customized for mobile devices, content customized based on location awareness, or an electronic mail message; and wherein: in the event that the corpus of content includes the web site, content of the web site is different from other web pages of the website; in the event that the corpus of content includes a user's social networking web page, content of the user's social networking web page is different from another user's social networking web page; in the event that the corpus of content includes content customized for mobile devices, content of a mobile device is different from another mobile device; in the event that the corpus of content includes content customized based on location awareness, content of a location is different from another location; and in the event that the corpus of content includes the electronic mail message, the electronic mail message is different from another electronic mail message; and a memory coupled to the processor and configured to provide the processor with instructions. | 1. A system, comprising: a processor configured to: determine a topic based on a user demand, wherein the determining of the topic comprises: determine frequencies of phrases based on an analysis of a search query log from a web site, a search query log from a search engine, or a combination thereof; compare the frequencies of the phrases to a predetermined threshold; determine at least one theme based on phrases having frequencies exceeding the predetermined threshold; sort the at least one theme based on common words in the phrases; cluster the at least one theme based on a clustering technique, the clustering technique being a min hash clustering or a n-squared clustering based on bi-grams; and determine the topic based on the clustered at least one theme; automatically generate content for the topic; and select the content that is contextually relevant for display within a corpus of content, wherein the content is optimized for the topic; wherein the corpus of content includes a web site, a user's social networking web page, content customized for mobile devices, content customized based on location awareness, or an electronic mail message; and wherein: in the event that the corpus of content includes the web site, content of the web site is different from other web pages of the website; in the event that the corpus of content includes a user's social networking web page, content of the user's social networking web page is different from another user's social networking web page; in the event that the corpus of content includes content customized for mobile devices, content of a mobile device is different from another mobile device; in the event that the corpus of content includes content customized based on location awareness, content of a location is different from another location; and in the event that the corpus of content includes the electronic mail message, the electronic mail message is different from another electronic mail message; and a memory coupled to the processor and configured to provide the processor with instructions. 3. The system recited in claim 1 , wherein the content is displayed in a module of the corpus of content that includes a plurality of modules, and wherein each module includes dynamically generated contextually relevant content. | 0.736721 |
9,251,138 | 1 | 6 | 1. A computer system for analyzing natural language comprising: a phrase database configured to store phrases; and a phrase analysis engine coupled with the phrase database and configured to: obtain a corpus comprising a plurality of phrases; extract phrases from the corpus; determine a degree of similarity among the phrases based on phrase contexts associated with the phrases and on overlaps among phrase contexts determined by surrounding phrases in the corpus proximate to the phrases; and cluster the phrases into classes within the phrase database based on the degree of similarity among the phrase; and a user interface configured to present a response generated from phrases obtained from the phrase database to a user. | 1. A computer system for analyzing natural language comprising: a phrase database configured to store phrases; and a phrase analysis engine coupled with the phrase database and configured to: obtain a corpus comprising a plurality of phrases; extract phrases from the corpus; determine a degree of similarity among the phrases based on phrase contexts associated with the phrases and on overlaps among phrase contexts determined by surrounding phrases in the corpus proximate to the phrases; and cluster the phrases into classes within the phrase database based on the degree of similarity among the phrase; and a user interface configured to present a response generated from phrases obtained from the phrase database to a user. 6. The system of claim 1 , wherein the corpus comprises a specialized corpus that is specific to a domain. | 0.666667 |
7,606,425 | 20 | 25 | 20. A method of learning events contained within a video image sequence, the method comprising: providing a computing system that is configured to receive the image sequence, the computing system programmed to: provide a behavioral analysis engine that is configured to learn new events contained within the image sequence, the behavioral analysis engine including an actor feature database, a frame feature database, and a programmable event library stored in a memory; initiate a training phase mode within the behavioral analysis engine and obtaining a feature vector including one or more parameters relating to an object disposed within the image sequence; analyze the feature vector to determine a number of possible event candidates; prompt a user to confirm whether a detected event candidate is a newly identified event; and store the new event within the event library if the detected event candidate is confirmed by the user. | 20. A method of learning events contained within a video image sequence, the method comprising: providing a computing system that is configured to receive the image sequence, the computing system programmed to: provide a behavioral analysis engine that is configured to learn new events contained within the image sequence, the behavioral analysis engine including an actor feature database, a frame feature database, and a programmable event library stored in a memory; initiate a training phase mode within the behavioral analysis engine and obtaining a feature vector including one or more parameters relating to an object disposed within the image sequence; analyze the feature vector to determine a number of possible event candidates; prompt a user to confirm whether a detected event candidate is a newly identified event; and store the new event within the event library if the detected event candidate is confirmed by the user. 25. The method of claim 20 , wherein the feature vector includes a number of motion parameters. | 0.81 |
8,166,056 | 12 | 13 | 12. The apparatus according to claim 8 , wherein the processor in executing the processing instructions further comprises computing a set of similar documents or tags or both tags and documents using the tag profile or document profile associated with the selected tag or document. | 12. The apparatus according to claim 8 , wherein the processor in executing the processing instructions further comprises computing a set of similar documents or tags or both tags and documents using the tag profile or document profile associated with the selected tag or document. 13. The apparatus according to claim 12 , wherein said computing is performed when the selected document does not appear in the bigraph by substituting therefor a document used to construct the bigraph having a comparable similarity measure. | 0.5 |
9,390,707 | 1 | 3 | 1. A computer-implemented method for estimating the accuracy of a transcription of a voice recording, comprising: calculating an accuracy number by dividing a number of accurate words in the transcript on by a total number of words in the transcription; assigning a greater weight to at least one word exceeding a predefined number of characters as compared to at least one other word below the predetermined number of characters; automatically extracting using natural language processing, from a data structure that is one of a common language dictionary, customer specific dictionary or a knowledge base, a set of axioms associated with at least one of the words in the transcription, wherein the set of axioms comprises a computer-parsable definition of a relationship of data to the at least one of the words; and assigning a confidence level to each axiom of the set of axioms based on a result of the dividing and the assigning of weight, wherein the confidence level is assigned based on an output of a Gaussian function applied to a result of the dividing and the assigning of weight. | 1. A computer-implemented method for estimating the accuracy of a transcription of a voice recording, comprising: calculating an accuracy number by dividing a number of accurate words in the transcript on by a total number of words in the transcription; assigning a greater weight to at least one word exceeding a predefined number of characters as compared to at least one other word below the predetermined number of characters; automatically extracting using natural language processing, from a data structure that is one of a common language dictionary, customer specific dictionary or a knowledge base, a set of axioms associated with at least one of the words in the transcription, wherein the set of axioms comprises a computer-parsable definition of a relationship of data to the at least one of the words; and assigning a confidence level to each axiom of the set of axioms based on a result of the dividing and the assigning of weight, wherein the confidence level is assigned based on an output of a Gaussian function applied to a result of the dividing and the assigning of weight. 3. The computer-implemented method of claim 1 , further comprising determining a number of inaccurate words by indentifying the number of words determined to be spelled incorrectly. | 0.684669 |
8,161,105 | 1 | 6 | 1. At a mobile communication device, a method of managing a voice connection for an audio conference related to a text-based message received over a data network, said method comprising: presenting a user interface on a display of the mobile communication device, said user interface presenting at least a portion of said text-based message received over said data network; receiving a voice connection request from an audio conference gateway, said audio conference gateway being capable of establishing voice connections between said audio conference gateway and devices associated with telephone destination numbers and of bridging said voice connections; responsive to said receiving, establishing a voice connection with said audio conference gateway; receiving status information from said audio conference gateway in-band over said voice connection; updating said user interface based on said status information; receiving calling line identification associated with said voice connection request; comparing said received calling line identification to a stored calling line identification associated with a known audio conference gateway; and where said received calling line identification and said stored calling line identification are equivalent, maintaining said user interface while said voice connection with said audio conference gateway is established. | 1. At a mobile communication device, a method of managing a voice connection for an audio conference related to a text-based message received over a data network, said method comprising: presenting a user interface on a display of the mobile communication device, said user interface presenting at least a portion of said text-based message received over said data network; receiving a voice connection request from an audio conference gateway, said audio conference gateway being capable of establishing voice connections between said audio conference gateway and devices associated with telephone destination numbers and of bridging said voice connections; responsive to said receiving, establishing a voice connection with said audio conference gateway; receiving status information from said audio conference gateway in-band over said voice connection; updating said user interface based on said status information; receiving calling line identification associated with said voice connection request; comparing said received calling line identification to a stored calling line identification associated with a known audio conference gateway; and where said received calling line identification and said stored calling line identification are equivalent, maintaining said user interface while said voice connection with said audio conference gateway is established. 6. The method of claim 1 wherein said voice connection is a public switched telephone network (PSTN) connection. | 0.76569 |
7,689,418 | 26 | 27 | 26. A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform method steps for verifying a user identity, the method steps comprising: receiving multi-modal inputs from a user interacting with a conversational system during a user session and transforming the received multi-modal inputs into formal commands executable by the machine; extracting features from the multi-modal inputs and formal commands, wherein the extracted features include a combination of input modalities representative of the user's current interaction behavior for performing a task during the user session; and comparing the combination of input modalities representative of the user's current interaction behavior for performing the task to a behavior model representative of the user's past interaction behavior comprising a known combination of input modalities for performing the task used by the user during one or more previous user sessions to determine the identity of the user. | 26. A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform method steps for verifying a user identity, the method steps comprising: receiving multi-modal inputs from a user interacting with a conversational system during a user session and transforming the received multi-modal inputs into formal commands executable by the machine; extracting features from the multi-modal inputs and formal commands, wherein the extracted features include a combination of input modalities representative of the user's current interaction behavior for performing a task during the user session; and comparing the combination of input modalities representative of the user's current interaction behavior for performing the task to a behavior model representative of the user's past interaction behavior comprising a known combination of input modalities for performing the task used by the user during one or more previous user sessions to determine the identity of the user. 27. The program storage device as recited in claim 26 , further comprising instructions for interpreting speech input using natural language understanding. | 0.765152 |
9,596,246 | 6 | 8 | 6. The method of claim 5 wherein the authorized user comprises an ISV support representative performing maintenance functions for the hosted application, and wherein the ISV support representative is granted privileges allowing the support representative to view and modify the metadata in relation to performing debugging functions on the application. | 6. The method of claim 5 wherein the authorized user comprises an ISV support representative performing maintenance functions for the hosted application, and wherein the ISV support representative is granted privileges allowing the support representative to view and modify the metadata in relation to performing debugging functions on the application. 8. The method of claim 6 wherein the SAML assertion establishes the identity of the ISV support representative and the platform provider serves as an identity provider under a SAML protocol to authorize the ISV support representative as a support user. | 0.719376 |
9,367,535 | 1 | 4 | 1. A method comprising: receiving, at a client from a server, a dashboard container comprising a spreadsheet file and a dashboard structure file both in a text-based, language-independent data interchange format, the dashboard container having resulted from conversion by the server of the spreadsheet file and the dashboard structure file into the text-based, language-independent data interchange format, the spreadsheet file comprising cells including a first cell that includes a first formula and one or more referenced cells upon which evaluation of the first formula depends, the first formula being expressed as an object in the text-based, language-independent data interchange format, the dashboard structure file comprising metadata for use in rendering a dashboard comprising a plurality of components, at least one of the plurality of components comprising a visual component; rendering, at the client, the dashboard to include the spreadsheet and the plurality of components of the dashboard based at least on the received dashboard container; registering a first listener for the first formula on each of the one or more referenced cells; upon the first listener being notified of a change in any of the one or more referenced cells, notifying, by the first listener, a second listener for a second formula registered on the first cell by a second cell of the spreadsheet that comprises the second formula, the notifying occurring without evaluating the first formula based on the change; recursively evaluating the second cell and the first cell according to the first listener and at least the second listener to enable updating the visual component, which relies upon the second cell; and initiating, using a second rendering of the dashboard using the spreadsheet file, the dashboard structure file and results of the recursively evaluating. | 1. A method comprising: receiving, at a client from a server, a dashboard container comprising a spreadsheet file and a dashboard structure file both in a text-based, language-independent data interchange format, the dashboard container having resulted from conversion by the server of the spreadsheet file and the dashboard structure file into the text-based, language-independent data interchange format, the spreadsheet file comprising cells including a first cell that includes a first formula and one or more referenced cells upon which evaluation of the first formula depends, the first formula being expressed as an object in the text-based, language-independent data interchange format, the dashboard structure file comprising metadata for use in rendering a dashboard comprising a plurality of components, at least one of the plurality of components comprising a visual component; rendering, at the client, the dashboard to include the spreadsheet and the plurality of components of the dashboard based at least on the received dashboard container; registering a first listener for the first formula on each of the one or more referenced cells; upon the first listener being notified of a change in any of the one or more referenced cells, notifying, by the first listener, a second listener for a second formula registered on the first cell by a second cell of the spreadsheet that comprises the second formula, the notifying occurring without evaluating the first formula based on the change; recursively evaluating the second cell and the first cell according to the first listener and at least the second listener to enable updating the visual component, which relies upon the second cell; and initiating, using a second rendering of the dashboard using the spreadsheet file, the dashboard structure file and results of the recursively evaluating. 4. A method as in claim 1 , wherein the text-based, language-independent data interchange format comprises an object notation format derived from a programming language that implements the ECMAScript Programming Language Standard. | 0.510638 |
4,852,180 | 11 | 12 | 11. Apparatus for the recognition of speech, of the type comprising means for storing signals representing a model of the language to be recognized, said model being of the state-transitional type, each state being uniquely identified with a phonetic unit, each state having associated with it a portion of a transition matrix which describes which states can follow it and with what probability, each state having associated with it an observational density function assigning to each set of speech feature signals that may be observed in fluent speech a likelihood of being observed in association with that state, each state having associated with it a durational density function assigning to each duration it may have a likelihood of occurrence in fluent speech; means for storing signals representing lexical candidates, said lexical candidates being assemblages of phonetic units of the language in association with partial phonetic information of the type found in dictionaries; means for sequentially converting successive time frame portions of an utterance into signals representing respective sets of acoustic feature signals representative of the portions; and means for accessing the stored model and stored lexical candidates to obtain signals which represent sequences of the phonetic units, including means for selecting the optimum ones of such sequences to produce a selection signal representing recognition of the utterance, said apparatus being particularly characterized in that the accessing means includes means for first accessing the stored model to obtain signals which represent proposed sequences of phonetic units independently of the stored lexical candidates, and means for next accessing the stored lexical candidates in response to portions of the proposed sequences of phonetic units to obtain proposed lexical candidates each containing each said portion, and the accessing means further includes means for aligning said proposed lexical candidates, whenever more than one exists, with the one or more respective sets of acoustic feature signals from which said proposed sequences of phonetic units were obtained to reduce the number of said proposed lexical candidates. | 11. Apparatus for the recognition of speech, of the type comprising means for storing signals representing a model of the language to be recognized, said model being of the state-transitional type, each state being uniquely identified with a phonetic unit, each state having associated with it a portion of a transition matrix which describes which states can follow it and with what probability, each state having associated with it an observational density function assigning to each set of speech feature signals that may be observed in fluent speech a likelihood of being observed in association with that state, each state having associated with it a durational density function assigning to each duration it may have a likelihood of occurrence in fluent speech; means for storing signals representing lexical candidates, said lexical candidates being assemblages of phonetic units of the language in association with partial phonetic information of the type found in dictionaries; means for sequentially converting successive time frame portions of an utterance into signals representing respective sets of acoustic feature signals representative of the portions; and means for accessing the stored model and stored lexical candidates to obtain signals which represent sequences of the phonetic units, including means for selecting the optimum ones of such sequences to produce a selection signal representing recognition of the utterance, said apparatus being particularly characterized in that the accessing means includes means for first accessing the stored model to obtain signals which represent proposed sequences of phonetic units independently of the stored lexical candidates, and means for next accessing the stored lexical candidates in response to portions of the proposed sequences of phonetic units to obtain proposed lexical candidates each containing each said portion, and the accessing means further includes means for aligning said proposed lexical candidates, whenever more than one exists, with the one or more respective sets of acoustic feature signals from which said proposed sequences of phonetic units were obtained to reduce the number of said proposed lexical candidates. 12. Apparatus for the recognition of speech, of the type claimed in claim 11, said apparatus being further characterized in that the model storing means includes means for storing an ergodic model in which any state can occur after any other state. | 0.5 |
8,847,884 | 1 | 3 | 1. A method for offering services according to user facial expressions, the method being used for an electronic device storing a service database recording services for users and including at least one user's information, each user's information comprising a mapping relationship between a plurality of images of facial expressions on the user, a plurality of facial expressions of the user, and a plurality of services, the method comprising: activating an offering service function of the electronic device; capturing images of real-time facial expressions of the user; extracting the features of each facial expression of the user; comparing the extracted features of the real-time facial expressions with the features of the facial expressions in the images of the user stored in the service database, so as to find a matching feature or the closest matching feature in the images of the user stored in the service database, and determining the type of the facial expression and the service corresponding thereto in the service database; and activating and providing the determined service. | 1. A method for offering services according to user facial expressions, the method being used for an electronic device storing a service database recording services for users and including at least one user's information, each user's information comprising a mapping relationship between a plurality of images of facial expressions on the user, a plurality of facial expressions of the user, and a plurality of services, the method comprising: activating an offering service function of the electronic device; capturing images of real-time facial expressions of the user; extracting the features of each facial expression of the user; comparing the extracted features of the real-time facial expressions with the features of the facial expressions in the images of the user stored in the service database, so as to find a matching feature or the closest matching feature in the images of the user stored in the service database, and determining the type of the facial expression and the service corresponding thereto in the service database; and activating and providing the determined service. 3. The method as described in claim 1 , further comprising: determining whether an audio file is being played; and determining the type of the facial expression of the user and the audio service which corresponds to the feature of the facial expression of the user in the images stored in the service database, when an audio file is being played. | 0.769025 |
9,569,554 | 1 | 2 | 1. A computer-implemented method of incorporating an image into a page of content for transmission over a telecommunications network from a server to a client for display by a browser running on the client, the method comprising: providing an image data file encoding said image in accordance with a standard image format; providing a page of content in a markup language, said page of content being intended for transmission over a telecommunications network from a server to a client for display by a browser running on the client, said page of content including a link or reference to the image data file for incorporating the image within the page of content; converting said image from said standard image format of the image data file into a format in which the image is encoded using said markup language; and incorporating the image encoded using said markup language into the page of content to replace said link or reference to the image data file prior to transmission of the page of content over a telecommunications network; wherein the converted image is built up on a line-by-line basis; wherein each line of the converted image comprises one or more HyperText Markup Language (HTML) image units, each HTML image unit being located in just a single line of the converted image and formed from a row of one or more consecutive pixels of the image which have the same color, wherein a first line of the converted image has a first arbitrary length and a second line of the converted image has a second arbitrary length, wherein both the first and second arbitrary lengths are independent of the lengths of other lines in the converted image. | 1. A computer-implemented method of incorporating an image into a page of content for transmission over a telecommunications network from a server to a client for display by a browser running on the client, the method comprising: providing an image data file encoding said image in accordance with a standard image format; providing a page of content in a markup language, said page of content being intended for transmission over a telecommunications network from a server to a client for display by a browser running on the client, said page of content including a link or reference to the image data file for incorporating the image within the page of content; converting said image from said standard image format of the image data file into a format in which the image is encoded using said markup language; and incorporating the image encoded using said markup language into the page of content to replace said link or reference to the image data file prior to transmission of the page of content over a telecommunications network; wherein the converted image is built up on a line-by-line basis; wherein each line of the converted image comprises one or more HyperText Markup Language (HTML) image units, each HTML image unit being located in just a single line of the converted image and formed from a row of one or more consecutive pixels of the image which have the same color, wherein a first line of the converted image has a first arbitrary length and a second line of the converted image has a second arbitrary length, wherein both the first and second arbitrary lengths are independent of the lengths of other lines in the converted image. 2. The method of claim 1 , wherein the image encoded using said markup language is incorporated into the page of content in response to parsing said reference or link with the page of content. | 0.538462 |
10,083,684 | 7 | 8 | 7. An information handling system comprising: one or more processors; a memory coupled to at least one of the processors; and a set of computer program instructions stored in the memory and executed by at least one of the processors in order to perform actions comprising: analyzing a document that is being composed by a visually impaired user, wherein the analysis derives a sensitivity of the document; retrieving a vocal characteristic corresponding to the derived sensitivity based on one or more predefined settings; retrieving, from the memory, an additional vocal characteristic corresponding to an audience size of the document, wherein the audience size is based on a size of an intended audience selected from a group consisting of an email distribution list and an amount of recipients of a group posting; and audibly reading text from the document to the visually impaired user with a text to speech process utilizing both the retrieved vocal characteristic and the additional vocal characteristic. | 7. An information handling system comprising: one or more processors; a memory coupled to at least one of the processors; and a set of computer program instructions stored in the memory and executed by at least one of the processors in order to perform actions comprising: analyzing a document that is being composed by a visually impaired user, wherein the analysis derives a sensitivity of the document; retrieving a vocal characteristic corresponding to the derived sensitivity based on one or more predefined settings; retrieving, from the memory, an additional vocal characteristic corresponding to an audience size of the document, wherein the audience size is based on a size of an intended audience selected from a group consisting of an email distribution list and an amount of recipients of a group posting; and audibly reading text from the document to the visually impaired user with a text to speech process utilizing both the retrieved vocal characteristic and the additional vocal characteristic. 8. The information handling system of claim 7 wherein the vocal characteristic is a speaker gender and the additional vocal characteristic is a speaker volume. | 0.914424 |
8,761,351 | 8 | 13 | 8. A system comprising: memory having executable instructions stored thereon; and a processor coupled to the memory, the processor configured to execute the executable instructions to effectuate operations comprising: receiving, via an internet protocol (IP) network, information pertaining to an event, wherein: the information is indicative of speech; the information is formatted in accordance with a voice over internet protocol (VoIP); the information is indicative of being provided by a P25 land mobile radio, via a federally regulated land mobile radio system; providing the information for storage, wherein the stored information is available for access by at least one entity associated with an emergency operations center; providing at least one service to an originator of the information; automatically converting the VoIP formatted information to text; automatically formatting the text in accordance with a WebEOC emergency operations center log format; and providing the formatted text for storage, wherein the stored formatted text is available for access by the at least one entity associated with the emergency operations center. | 8. A system comprising: memory having executable instructions stored thereon; and a processor coupled to the memory, the processor configured to execute the executable instructions to effectuate operations comprising: receiving, via an internet protocol (IP) network, information pertaining to an event, wherein: the information is indicative of speech; the information is formatted in accordance with a voice over internet protocol (VoIP); the information is indicative of being provided by a P25 land mobile radio, via a federally regulated land mobile radio system; providing the information for storage, wherein the stored information is available for access by at least one entity associated with an emergency operations center; providing at least one service to an originator of the information; automatically converting the VoIP formatted information to text; automatically formatting the text in accordance with a WebEOC emergency operations center log format; and providing the formatted text for storage, wherein the stored formatted text is available for access by the at least one entity associated with the emergency operations center. 13. The system of claim 8 , the operations further comprising providing a wireless priority service to the originator of the information. | 0.530822 |
8,773,733 | 6 | 7 | 6. The digital image capture device of claim 2 , wherein the analysis to determine the corresponding portion of the textual information for the document includes comparing the extracted textual data for the captured digital images to a dictionary. | 6. The digital image capture device of claim 2 , wherein the analysis to determine the corresponding portion of the textual information for the document includes comparing the extracted textual data for the captured digital images to a dictionary. 7. The digital image capture device of claim 6 , wherein the dictionary includes context-dependent words that are relevant to a particular document or document type. | 0.511834 |
8,493,883 | 10 | 11 | 10. The method of claim 8 , wherein the predefined types of entities include physical entities and logical entities. | 10. The method of claim 8 , wherein the predefined types of entities include physical entities and logical entities. 11. The method of claim 10 , wherein the logical entities include logical groups. | 0.5 |
8,856,743 | 9 | 10 | 9. A system for software testing and validation, the system comprising: a processor of a computing device; a non-transitory computer readable medium associated with a software testing and validation program, the software testing and validation program stored on the non-transitory computer readable medium and including instructions that, when executed by the processor, cause the processor to perform the steps of: generating, by a processor of a computing device, an abstract model defined by data embedded in a software application under test (SAUT), said generating comprising: identifying, by the processor, the embedded data within at least one region of the SAUT by parsing the at least one region of the SAUT, wherein the embedded data comprises a tag identifying a test region; and constructing a test region object representing the test region, wherein the test region object stores hierarchical information defining a hierarchy comprising: (i) a location of the test region within the SAUT, (ii) a parent region that the test region is contained within, (iii) one or more sub-regions contained within the test region, and (iv) one or more test objects associated with the test region; and executing, by the processor, a test script, wherein the test script navigates the abstract model thereby invoking an action of the test region and/or verifying an output of the test region, wherein the abstract model enables the test script to navigate the abstract model by one or both of (a) directly accessing the test region using the tag thereby locating the test region regardless of a location of the test region within the abstract model, and/or (b) using the hierarchical information to navigate up or down the hierarchy re-executing, by the processor, the test script to test an altered test region, wherein the altered test region has been altered by at least one of relocating and redefining the altered test region of the SAUT, the altering resulting in a change of expression of the abstract model of the altered test region without affecting other test regions within the SAUT, wherein the test script is unaffected by updates or changes outside the altered test region. | 9. A system for software testing and validation, the system comprising: a processor of a computing device; a non-transitory computer readable medium associated with a software testing and validation program, the software testing and validation program stored on the non-transitory computer readable medium and including instructions that, when executed by the processor, cause the processor to perform the steps of: generating, by a processor of a computing device, an abstract model defined by data embedded in a software application under test (SAUT), said generating comprising: identifying, by the processor, the embedded data within at least one region of the SAUT by parsing the at least one region of the SAUT, wherein the embedded data comprises a tag identifying a test region; and constructing a test region object representing the test region, wherein the test region object stores hierarchical information defining a hierarchy comprising: (i) a location of the test region within the SAUT, (ii) a parent region that the test region is contained within, (iii) one or more sub-regions contained within the test region, and (iv) one or more test objects associated with the test region; and executing, by the processor, a test script, wherein the test script navigates the abstract model thereby invoking an action of the test region and/or verifying an output of the test region, wherein the abstract model enables the test script to navigate the abstract model by one or both of (a) directly accessing the test region using the tag thereby locating the test region regardless of a location of the test region within the abstract model, and/or (b) using the hierarchical information to navigate up or down the hierarchy re-executing, by the processor, the test script to test an altered test region, wherein the altered test region has been altered by at least one of relocating and redefining the altered test region of the SAUT, the altering resulting in a change of expression of the abstract model of the altered test region without affecting other test regions within the SAUT, wherein the test script is unaffected by updates or changes outside the altered test region. 10. The system of claim 9 , wherein the at least one tag is nested within other tags, thereby creating a hierarchy within the abstract model. | 0.5 |
8,645,351 | 1 | 12 | 1. A method of providing search results and advertisements to a user, the method comprising: associating user preferences with the user; receiving a search request from the user; searching at least one database based on the search request and the user preferences to produce at least one search result; selecting at least one advertisement from an advertisement database based on the user preferences and the search request; providing the at least one search result and the at least one advertisement to the user; modifying the user preferences associated with the user based on the search request; receiving search refinement input from the user; producing at least one modified search result based on at least the search refinement input; updating the at least one advertisement selected from the advertisement database based at least in part on the modified user preferences and the search refinement input; and providing at least one of the at least one modified search result and the updated at least one advertisement to the user. | 1. A method of providing search results and advertisements to a user, the method comprising: associating user preferences with the user; receiving a search request from the user; searching at least one database based on the search request and the user preferences to produce at least one search result; selecting at least one advertisement from an advertisement database based on the user preferences and the search request; providing the at least one search result and the at least one advertisement to the user; modifying the user preferences associated with the user based on the search request; receiving search refinement input from the user; producing at least one modified search result based on at least the search refinement input; updating the at least one advertisement selected from the advertisement database based at least in part on the modified user preferences and the search refinement input; and providing at least one of the at least one modified search result and the updated at least one advertisement to the user. 12. The method of claim 1 , wherein updating the at least one advertisement selected from the advertisement database from the advertisement database based on the user preferences and the search refinement input comprises processing at least one of user preference information, a search argument, and the search refinement input using at least one rule-based algorithm to update the at, least one advertisement. | 0.514218 |
8,566,780 | 15 | 18 | 15. A computer-readable storage device which stores a set of instructions which when executed performs a method for providing object model based mapping, the method executed by the set of instructions comprising: receiving backend data defining data constructs in a backend system, the backend data configured to define the backend system and to define how to access the backend system; receiving entity data defining data constructs in an entity model, the entity data comprising one of the following: entity classes and data logical classes; receiving user selectable elements defining a process associating the backend data with the entity data, the user selectable elements defining a flow chart of the process comprising at least one activity describing the process comprising a state machines process enabling bi-directional data transforms between the backend data and the entity data, the flow chart being configured to be translated to machine code for computer execution and being representative of a work flow between the backend system and the entity model; and producing code, based on the received user selectable elements, configured to implement the process, wherein producing the code comprises producing code that enables the bi-directional data transforms by allowing data flow from the backend system to the entity model and from the entity model to the backend system based on the flow chart process as defined by the user selectable elements. | 15. A computer-readable storage device which stores a set of instructions which when executed performs a method for providing object model based mapping, the method executed by the set of instructions comprising: receiving backend data defining data constructs in a backend system, the backend data configured to define the backend system and to define how to access the backend system; receiving entity data defining data constructs in an entity model, the entity data comprising one of the following: entity classes and data logical classes; receiving user selectable elements defining a process associating the backend data with the entity data, the user selectable elements defining a flow chart of the process comprising at least one activity describing the process comprising a state machines process enabling bi-directional data transforms between the backend data and the entity data, the flow chart being configured to be translated to machine code for computer execution and being representative of a work flow between the backend system and the entity model; and producing code, based on the received user selectable elements, configured to implement the process, wherein producing the code comprises producing code that enables the bi-directional data transforms by allowing data flow from the backend system to the entity model and from the entity model to the backend system based on the flow chart process as defined by the user selectable elements. 18. The computer-readable storage device of claim 15 , wherein receiving the user selectable elements defining the process comprises receiving the user selectable elements defining the process configured to map to a database on the backend system. | 0.685751 |
7,613,687 | 1 | 11 | 1. An information gathering system implemented in a computer system for optimizing searching comprising: a processor and memory; a data extraction tool executing in the computer system, in communication with a database, extracting website content to enable full text searching, the website content being extracted from a plurality of websites associated with business entities that are classified according to a standard industry classification system (SIC), which is a predefined taxonomy of business activities having verified information about the business entities; the database, in communication with the data extraction tool, storing the extracted website content according to a classification system that is based on the predefined taxonomy of SIC business activities; a content analyzer, in communication with the database, identifying commonly occurring keywords in the extracted website content from the websites of business entities that are similarly classified in the SIC predefined taxonomy of SIC business activities, where the commonly occurring keywords identified are used to update the classification system, the updated classification system being used to optimize searching in response to search queries; the content analyzer identifying commonly occurring keywords that are used to create a new category to update the classification system by: identifying keyword matches in the extracted website content by identifying any commonly occurring keywords or phrases in the extracted website content; and processing the matches identified by determining whether any of the keywords or phrases in the identified matches contain one or more keywords associated with any of the business activities in the SIC predefined taxonomy; and a full text indexed search engine, in communication with the database, processing a search query by matching the search query against the database, where at least a portion of the search results are clustered based on their respective SIC business activity category. | 1. An information gathering system implemented in a computer system for optimizing searching comprising: a processor and memory; a data extraction tool executing in the computer system, in communication with a database, extracting website content to enable full text searching, the website content being extracted from a plurality of websites associated with business entities that are classified according to a standard industry classification system (SIC), which is a predefined taxonomy of business activities having verified information about the business entities; the database, in communication with the data extraction tool, storing the extracted website content according to a classification system that is based on the predefined taxonomy of SIC business activities; a content analyzer, in communication with the database, identifying commonly occurring keywords in the extracted website content from the websites of business entities that are similarly classified in the SIC predefined taxonomy of SIC business activities, where the commonly occurring keywords identified are used to update the classification system, the updated classification system being used to optimize searching in response to search queries; the content analyzer identifying commonly occurring keywords that are used to create a new category to update the classification system by: identifying keyword matches in the extracted website content by identifying any commonly occurring keywords or phrases in the extracted website content; and processing the matches identified by determining whether any of the keywords or phrases in the identified matches contain one or more keywords associated with any of the business activities in the SIC predefined taxonomy; and a full text indexed search engine, in communication with the database, processing a search query by matching the search query against the database, where at least a portion of the search results are clustered based on their respective SIC business activity category. 11. An information gathering system for optimizing searching as in claim 1 wherein matches identified further includes a process for: ranking each of the matches identified; and processing the ranked matches to determine the highest ranking match. | 0.788527 |
8,984,051 | 1 | 3 | 1. A computer implemented method for communicating feed information to one or more recipients, the method comprising: receiving, via a user interface for accessing a social networking system, an identification of one or more first recipients to whom to communicate an information update configured to be published to an information feed of the social networking system, the information feed capable of being displayed on a display device; receiving, via the user interface, a first indicator in addition to the identification of the one or more first recipients; identifying the first indicator as a request to communicate the information update to one or more recipients in addition to the one or more first recipients; automatically causing identification of one or more second recipients responsive to identifying the first indicator, the identification of the one or more second recipients based on the one or more first recipients, the identification of the one or more second recipients comprising: determining that an entity satisfies a relevance measure associated with the first indicator, the determination based on performance of one or more operations and application of weighting information in relation to the one or more operations to indicate a degree of relevance between the entity and a first recipient, and selecting the entity to be included in the one or more second recipients; identifying a second indicator as a request to not communicate the information update to one or more potential recipients; automatically causing identification of one or more potential third recipients based on the second indicator, the one or more potential third recipients being excluded from having access to the information update; and providing the information update for access by the one or more second recipients. | 1. A computer implemented method for communicating feed information to one or more recipients, the method comprising: receiving, via a user interface for accessing a social networking system, an identification of one or more first recipients to whom to communicate an information update configured to be published to an information feed of the social networking system, the information feed capable of being displayed on a display device; receiving, via the user interface, a first indicator in addition to the identification of the one or more first recipients; identifying the first indicator as a request to communicate the information update to one or more recipients in addition to the one or more first recipients; automatically causing identification of one or more second recipients responsive to identifying the first indicator, the identification of the one or more second recipients based on the one or more first recipients, the identification of the one or more second recipients comprising: determining that an entity satisfies a relevance measure associated with the first indicator, the determination based on performance of one or more operations and application of weighting information in relation to the one or more operations to indicate a degree of relevance between the entity and a first recipient, and selecting the entity to be included in the one or more second recipients; identifying a second indicator as a request to not communicate the information update to one or more potential recipients; automatically causing identification of one or more potential third recipients based on the second indicator, the one or more potential third recipients being excluded from having access to the information update; and providing the information update for access by the one or more second recipients. 3. The method recited in claim 1 , wherein the one or more second recipients are defined by the one or more first recipients. | 0.9034 |
8,640,088 | 1 | 6 | 1. A method for reuse of a software code, the method comprising the steps of: (a) a processor of a computer system obfuscating the software code from an original state of the software code; (b) presenting the obfuscated software code to a first participant and a second participant; (c) collecting communications between the first participant and the second participant, wherein the communications comprise questions about the obfuscated software code posed by the first participant to the second participant, answers provided by the second participant to the questions, and guesses by the first participant of a functionality of the obfuscated software code; (d) the processor generating associations between the collected communications and respective portions of the obfuscated software code; (e) storing the generated associations in a database of the computer system; (f) after the storing, the processor determining that the second participant has not indicated that the first participant understands the obfuscated software code, and in response, partially reversing the obfuscated software code to transform the obfuscated software code to a partially obfuscated software code that is closer to the original state of the software code than the obfuscated software code generated in step (a), and repeating steps (b), (c), (d) and (e) with the partially obfuscated software code instead of the obfuscated software code generated in step (a); and (g) after the partially reversing in step (f), the processor determining if the second participant has indicated that the first participant understands the partially obfuscated software code, and if not, further reversing the partially obfuscated software code to transform the partially obfuscated software code to the original state of the software code or closer to the original state of the software code than the partially obfuscated software code generated in step (f), and repeating steps (b), (c), (d) and (e) with the further reversed partially obfuscated software code instead of the partially obfuscated software code generated in step (f). | 1. A method for reuse of a software code, the method comprising the steps of: (a) a processor of a computer system obfuscating the software code from an original state of the software code; (b) presenting the obfuscated software code to a first participant and a second participant; (c) collecting communications between the first participant and the second participant, wherein the communications comprise questions about the obfuscated software code posed by the first participant to the second participant, answers provided by the second participant to the questions, and guesses by the first participant of a functionality of the obfuscated software code; (d) the processor generating associations between the collected communications and respective portions of the obfuscated software code; (e) storing the generated associations in a database of the computer system; (f) after the storing, the processor determining that the second participant has not indicated that the first participant understands the obfuscated software code, and in response, partially reversing the obfuscated software code to transform the obfuscated software code to a partially obfuscated software code that is closer to the original state of the software code than the obfuscated software code generated in step (a), and repeating steps (b), (c), (d) and (e) with the partially obfuscated software code instead of the obfuscated software code generated in step (a); and (g) after the partially reversing in step (f), the processor determining if the second participant has indicated that the first participant understands the partially obfuscated software code, and if not, further reversing the partially obfuscated software code to transform the partially obfuscated software code to the original state of the software code or closer to the original state of the software code than the partially obfuscated software code generated in step (f), and repeating steps (b), (c), (d) and (e) with the further reversed partially obfuscated software code instead of the partially obfuscated software code generated in step (f). 6. The method of claim 1 , wherein in step (g) the determining determines that the second participant has not indicated that the first participant understands the partially obfuscated software code, and wherein the further reversing transforms the partially obfuscated software code to the original state of the software code. | 0.591479 |
9,846,696 | 1 | 19 | 1. A method for indexing multimedia content, the method comprising: segmenting the multimedia content, by a computer, into a plurality of segments; identifying by the computer, for each segment, one or more features present in the segment, wherein the features are of respective media types; identifying by the computer, for each identified feature in each segment, one or more respective keywords associated the identified feature; and determining by the computer, for each identified keyword associated with an identified feature in a given segment, a respective relevance of the keyword to the given segment, wherein the respective relevance is dependent on a weight associated with the respective media type of the identified feature. | 1. A method for indexing multimedia content, the method comprising: segmenting the multimedia content, by a computer, into a plurality of segments; identifying by the computer, for each segment, one or more features present in the segment, wherein the features are of respective media types; identifying by the computer, for each identified feature in each segment, one or more respective keywords associated the identified feature; and determining by the computer, for each identified keyword associated with an identified feature in a given segment, a respective relevance of the keyword to the given segment, wherein the respective relevance is dependent on a weight associated with the respective media type of the identified feature. 19. The method of claim 1 , wherein a first of said one or more respective keywords is associated with a first identified feature and a second identified feature, and the step of determining the respective relevance of said first keyword comprises: determining a first feature score for the first identified feature; determining a second feature score for the second identified feature; determining a first keyword score for the first keyword, wherein determining the first keyword score for the first keyword comprises calculating the first keyword score using the first feature score for the first identified feature and the second feature score for the second identified feature; and associating the calculated first keyword score with the first keyword. | 0.587241 |
8,249,915 | 1 | 2 | 1. A computer-implemented method carried out by a computer processing system for user evaluation of at least one product that has a plurality of features whereby users operate user devices that are operably coupled to the computer processing system over network communication therebetween, the method comprising: interacting with a plurality of users via the network communication between the user devices and the computer processing system to assign user-supplied ratings to features of a particular product, wherein the features of the at least one product are logically organized into a hierarchical structure of feature levels, and wherein each user supplied rating corresponds to a respective feature level and represents a user derived assessment of at least one feature of the corresponding feature level of the at least one product; processing the user-supplied ratings at the computer processing system to associate moderation scores with the user-supplied ratings; interacting with a given user via network communication between a given user device and the computer processing system to specify a threshold moderation score that defines a first range of acceptable moderation scores; at the computer processing system, computing a composite rating for a given feature level of the at least one product based upon a set of the user-supplied ratings corresponding to the given feature level of the at least one product, wherein each user-supplied rating within the set is associated with a moderation score that falls within the first range of acceptable moderation scores, thereby omitting from the composite rating contributions of user-supplied ratings for the at least one product whose associated moderation scores fall outside the first range of acceptable moderation scores; and at the computer processing system, outputting the composite rating for supply to the given user via network communication between the computer processing system and the given user device; wherein the processing of the computer processing system selectively enables particular users to evaluate the user-supplied ratings and associated moderation scores with the user-supplied ratings whereby the particular users are selectively enabled based upon moderation points earned by the particular users, and wherein the moderation points are limited in number and distributed to a respective user by an automatic process that accounts for positive evaluation of the respective user's own user-supplied ratings. | 1. A computer-implemented method carried out by a computer processing system for user evaluation of at least one product that has a plurality of features whereby users operate user devices that are operably coupled to the computer processing system over network communication therebetween, the method comprising: interacting with a plurality of users via the network communication between the user devices and the computer processing system to assign user-supplied ratings to features of a particular product, wherein the features of the at least one product are logically organized into a hierarchical structure of feature levels, and wherein each user supplied rating corresponds to a respective feature level and represents a user derived assessment of at least one feature of the corresponding feature level of the at least one product; processing the user-supplied ratings at the computer processing system to associate moderation scores with the user-supplied ratings; interacting with a given user via network communication between a given user device and the computer processing system to specify a threshold moderation score that defines a first range of acceptable moderation scores; at the computer processing system, computing a composite rating for a given feature level of the at least one product based upon a set of the user-supplied ratings corresponding to the given feature level of the at least one product, wherein each user-supplied rating within the set is associated with a moderation score that falls within the first range of acceptable moderation scores, thereby omitting from the composite rating contributions of user-supplied ratings for the at least one product whose associated moderation scores fall outside the first range of acceptable moderation scores; and at the computer processing system, outputting the composite rating for supply to the given user via network communication between the computer processing system and the given user device; wherein the processing of the computer processing system selectively enables particular users to evaluate the user-supplied ratings and associated moderation scores with the user-supplied ratings whereby the particular users are selectively enabled based upon moderation points earned by the particular users, and wherein the moderation points are limited in number and distributed to a respective user by an automatic process that accounts for positive evaluation of the respective user's own user-supplied ratings. 2. A computer-implemented method according to claim 1 , further comprising: processing user-supplied feedback at the computer processing system to derive a moderation score associated with a particular user-supplied rating. | 0.663142 |
8,073,893 | 5 | 7 | 5. The method of claim 1 , wherein said determining said relationship between said first and second numerical values further comprises: subtracting at least a portion of said first binary string from at least a portion of said second binary string; and determining said relationship based, at least in part, on a result of said subtraction. | 5. The method of claim 1 , wherein said determining said relationship between said first and second numerical values further comprises: subtracting at least a portion of said first binary string from at least a portion of said second binary string; and determining said relationship based, at least in part, on a result of said subtraction. 7. The method of claim 5 , wherein said result of said subtraction comprises a sign bit. | 0.891892 |
9,367,606 | 7 | 12 | 7. The method of claim 1 , wherein presenting the documents comprises displaying user input information based on the input about at least one document by the at least one user. | 7. The method of claim 1 , wherein presenting the documents comprises displaying user input information based on the input about at least one document by the at least one user. 12. The method of claim 7 , wherein displaying user input information comprises displaying a term associated with the document. | 0.5 |
8,601,023 | 1 | 16 | 1. A computer implemented method performed by a processor, comprising: observing usage patterns by one or more users in an on-line community in connection with an on-line asset; identifying usefulness of the on-line asset by observing user implicit behaviors in connection with the usage patterns of the on-line asset and by extracting behavioral patterns from the user implicit behaviors; refining the identified on-line asset usefulness by context, wherein a context of the on-line asset is automatically detected based on one or more observed terms obtained by observing user implicit behaviors with respect to the identified on-line asset, wherein the identified on-line asset has a plurality of term vectors; assigning a term vector entry of a term vector of the plurality of term vectors that describes a degree to which the identified on-line asset has an affinity with the observed terms, wherein each term vector of the plurality of term vectors is associated with a different user of the one or more users; identifying for each user of the one or more users an expertise vector by identifying on-line assets with respect to which the each user has engaged in one or more of the user implicit behaviors; and generating the expertise vector by summing the plurality of term vectors for the identified on-line assets; receive query including query terms; obtaining search result documents; determining that at least one search result document is an identified on-line asset for an expert user of the one or more users; and ranking the at least one search result based on a relationship of the query terms to the expertise vector of the expert user. | 1. A computer implemented method performed by a processor, comprising: observing usage patterns by one or more users in an on-line community in connection with an on-line asset; identifying usefulness of the on-line asset by observing user implicit behaviors in connection with the usage patterns of the on-line asset and by extracting behavioral patterns from the user implicit behaviors; refining the identified on-line asset usefulness by context, wherein a context of the on-line asset is automatically detected based on one or more observed terms obtained by observing user implicit behaviors with respect to the identified on-line asset, wherein the identified on-line asset has a plurality of term vectors; assigning a term vector entry of a term vector of the plurality of term vectors that describes a degree to which the identified on-line asset has an affinity with the observed terms, wherein each term vector of the plurality of term vectors is associated with a different user of the one or more users; identifying for each user of the one or more users an expertise vector by identifying on-line assets with respect to which the each user has engaged in one or more of the user implicit behaviors; and generating the expertise vector by summing the plurality of term vectors for the identified on-line assets; receive query including query terms; obtaining search result documents; determining that at least one search result document is an identified on-line asset for an expert user of the one or more users; and ranking the at least one search result based on a relationship of the query terms to the expertise vector of the expert user. 16. The computer implemented method of claim 1 , further comprising, assigning a user a factor to specify expertise of the user based on the user implicit behaviors. | 0.859215 |
7,664,767 | 1 | 2 | 1. A computer-implemented method comprising: accessing, over a network, content associated with an electronic document made available on the network by a content provider; programmatically deriving, using at least one processor, geographic information related to the electronic document from the accessed content associated with the electronic document; storing information identifying the electronic document in an electronic data store in association with geographic data corresponding to the derived geographic information, thereby enabling subsequent geographic-based searching to yield the electronic document; receiving a geographic-based query from a user, the geographic-based query being associated with a particular geographic region; determining, using at least one processor, whether the particular geographic region is related to the geographic data corresponding to the derived geographic information; and conditioned on the determining that the particular geographic region is related to the geographic data corresponding to the derived geographic information, returning a search result for the electronic document based on the information identifying the electronic document. | 1. A computer-implemented method comprising: accessing, over a network, content associated with an electronic document made available on the network by a content provider; programmatically deriving, using at least one processor, geographic information related to the electronic document from the accessed content associated with the electronic document; storing information identifying the electronic document in an electronic data store in association with geographic data corresponding to the derived geographic information, thereby enabling subsequent geographic-based searching to yield the electronic document; receiving a geographic-based query from a user, the geographic-based query being associated with a particular geographic region; determining, using at least one processor, whether the particular geographic region is related to the geographic data corresponding to the derived geographic information; and conditioned on the determining that the particular geographic region is related to the geographic data corresponding to the derived geographic information, returning a search result for the electronic document based on the information identifying the electronic document. 2. The method of claim 1 wherein accessing, deriving, and storing comprises accessing, deriving, and storing without human intervention. | 0.953103 |
9,213,961 | 18 | 22 | 18. In a computer network, a system for quantifying a significance of terms used within web-based social network sites, comprising: a means for implementing a configuration of a plurality of databases comprising a key terms database, a search database, a results database and a cumulative results database, the key terms database configured for storing key terms associated with a marketing of goods or services, wherein the stored key terms are used to generate search queries that are to be provided to a plurality of web-based social network sites, the search database configured for storing search results that are received in response to the generated search queries, wherein the stored search results are transformed into social index scores that indicate a respective significance of the key terms within the plurality of web-based social networks, the results database configured for storing social index scores generated at regular intervals of time, wherein the data stored in the results database is retrieved in order to represent the social index score for the key terms during that interval of time, and the cumulative results database configured for storing cumulative data comprising a plurality of storing social index scores generated over time, wherein the data stored in the cumulative results database is retrieved in order to represent social index scores for the key terms generated over regular intervals of time, a means for receiving an input of one or more key terms corresponding to marketing of goods or services, wherein the received input is stored in the key terms database that stores key terms that are used to generate search queries; a means for generating the search queries from the one or more key terms for retrieving information from the plurality of web-based social network sites indicating use of the one or more key terms within the plurality of web-based social network sites; a means for providing the generated search queries to the plurality of web-based social network sites; a means for receiving search results from the plurality of web-based social network sites in response to the provided search queries, wherein the received search results correspond to social network data from a plurality of social network site users, the received search results stored in the search database that is accessed to transform the search results into social index scores; for a web-based social network site of the plurality of web-based social network sites from which search results are received, a means for assigning an impact weight to the web-based social network site based at least in part on a total amount of stored data of the web-based social network site and a type of media accessed from the web-based social network site; a means for associating the received search results for the web-based social network site with the impact weight corresponding to the web-based social network site; a means for generating one or more social index scores by taking into account at least the received search results and the respective impact weights for the plurality of web-based social network sites, the one or more social index scores stored in at least one of the results database and the cumulative results database, wherein the stored data is retrieved to provide one or more representations of the social index score to a user; and a means for providing, through a user interface, at least one representation of the generated one or more social index scores to the user. | 18. In a computer network, a system for quantifying a significance of terms used within web-based social network sites, comprising: a means for implementing a configuration of a plurality of databases comprising a key terms database, a search database, a results database and a cumulative results database, the key terms database configured for storing key terms associated with a marketing of goods or services, wherein the stored key terms are used to generate search queries that are to be provided to a plurality of web-based social network sites, the search database configured for storing search results that are received in response to the generated search queries, wherein the stored search results are transformed into social index scores that indicate a respective significance of the key terms within the plurality of web-based social networks, the results database configured for storing social index scores generated at regular intervals of time, wherein the data stored in the results database is retrieved in order to represent the social index score for the key terms during that interval of time, and the cumulative results database configured for storing cumulative data comprising a plurality of storing social index scores generated over time, wherein the data stored in the cumulative results database is retrieved in order to represent social index scores for the key terms generated over regular intervals of time, a means for receiving an input of one or more key terms corresponding to marketing of goods or services, wherein the received input is stored in the key terms database that stores key terms that are used to generate search queries; a means for generating the search queries from the one or more key terms for retrieving information from the plurality of web-based social network sites indicating use of the one or more key terms within the plurality of web-based social network sites; a means for providing the generated search queries to the plurality of web-based social network sites; a means for receiving search results from the plurality of web-based social network sites in response to the provided search queries, wherein the received search results correspond to social network data from a plurality of social network site users, the received search results stored in the search database that is accessed to transform the search results into social index scores; for a web-based social network site of the plurality of web-based social network sites from which search results are received, a means for assigning an impact weight to the web-based social network site based at least in part on a total amount of stored data of the web-based social network site and a type of media accessed from the web-based social network site; a means for associating the received search results for the web-based social network site with the impact weight corresponding to the web-based social network site; a means for generating one or more social index scores by taking into account at least the received search results and the respective impact weights for the plurality of web-based social network sites, the one or more social index scores stored in at least one of the results database and the cumulative results database, wherein the stored data is retrieved to provide one or more representations of the social index score to a user; and a means for providing, through a user interface, at least one representation of the generated one or more social index scores to the user. 22. The system of claim 18 , wherein the web-based social network sites comprise one or more of social media sites, video sharing sites, microblogging sites, and blog post sites. | 0.665414 |
10,049,362 | 1 | 12 | 1. A method of authenticating data, comprising: training a voice biometric system to identify a user from a message spoken by the user; requesting, by the voice biometric system, a spoken message comprising a financial transaction detail from the user, the financial transaction detail related to a financial transaction between the user and a merchant; receiving, by the voice biometric system, the spoken message from the user, the spoken message comprising word content, the word content comprising the financial transaction detail related to the financial transaction between the user and the merchant; authenticating, by the voice biometric system, the word content included in the spoken message as word content spoken by the user; and providing a result of the authentication including the authenticated word content, thereby permitting a comparison of the authenticated word content to information related to the financial transaction between the user and the merchant to provide a degree of confidence that the financial transaction is not fraudulent. | 1. A method of authenticating data, comprising: training a voice biometric system to identify a user from a message spoken by the user; requesting, by the voice biometric system, a spoken message comprising a financial transaction detail from the user, the financial transaction detail related to a financial transaction between the user and a merchant; receiving, by the voice biometric system, the spoken message from the user, the spoken message comprising word content, the word content comprising the financial transaction detail related to the financial transaction between the user and the merchant; authenticating, by the voice biometric system, the word content included in the spoken message as word content spoken by the user; and providing a result of the authentication including the authenticated word content, thereby permitting a comparison of the authenticated word content to information related to the financial transaction between the user and the merchant to provide a degree of confidence that the financial transaction is not fraudulent. 12. The method as claimed in claim 1 , wherein the financial transaction involves use of a transaction card to perform a customer not present transaction with a remote server; and/or wherein the financial transaction involves use of a transaction card to perform a customer not present transaction over a voice call. | 0.755418 |
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