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7,580,921 | 12 | 14 | 12. The method of claim 1 , further comprising: removing incomplete phrases from the good phrases. | 12. The method of claim 1 , further comprising: removing incomplete phrases from the good phrases. 14. The method of claim 12 , further comprising: maintaining for each incomplete phrase at least one phrase extension of the incomplete phrase; and responsive to a phrase in a search query being an incomplete phrase, including in the search query at least one phrase extension of the incomplete search phrase. | 0.5 |
6,157,935 | 1 | 12 | 1. A hand held computer system for managing data for a user, comprising: processor; an input recognizer embodied in said program storage device, said input recognizer adapted to receive non-cursive handwritings from said user and convert said non-cursive handwritings into computer readable data; said handwritings being a set of modified characters; a program storage device coupled to said processor; a computer readable code embodied in said program storage device and coupled to said input recognizer for receiving said non-cursive handwritings, said computer readable code storing said data and allowing said user to process said data, wherein said computer readable code is a spreadsheet; and said hand held computer system further comprising a peripheral device selected from the group consisting of a camera, a scanner, a tuner, audio system, a modem, a voice recorder, and a display, said peripheral device coupled to said communication unit to provide data to said spreadsheet in a non-contact manner. | 1. A hand held computer system for managing data for a user, comprising: processor; an input recognizer embodied in said program storage device, said input recognizer adapted to receive non-cursive handwritings from said user and convert said non-cursive handwritings into computer readable data; said handwritings being a set of modified characters; a program storage device coupled to said processor; a computer readable code embodied in said program storage device and coupled to said input recognizer for receiving said non-cursive handwritings, said computer readable code storing said data and allowing said user to process said data, wherein said computer readable code is a spreadsheet; and said hand held computer system further comprising a peripheral device selected from the group consisting of a camera, a scanner, a tuner, audio system, a modem, a voice recorder, and a display, said peripheral device coupled to said communication unit to provide data to said spreadsheet in a non-contact manner. 12. The portable computer system of claim 1, further comprising: a data storage device coupled to said processor; and a file system code for linking said processor to said data storage device, said file system allowing applications to open and close files stored on said data storage device. | 0.557751 |
10,039,578 | 21 | 22 | 21. The method of claim 1 , wherein at least one of the first or second bone anchor comprises a bone screw. | 21. The method of claim 1 , wherein at least one of the first or second bone anchor comprises a bone screw. 22. The method of claim 21 , wherein the bone screw is at least one of polyaxial or cannulated. | 0.5 |
10,140,983 | 11 | 12 | 11. The system according to claim 8 , wherein the additional text data further comprises at least one sentence having at least one word which was erroneously detected as the target keyword by the automatic speech recognition. | 11. The system according to claim 8 , wherein the additional text data further comprises at least one sentence having at least one word which was erroneously detected as the target keyword by the automatic speech recognition. 12. The system according to claim 11 , wherein the discount parameter for the target keyword is tuned to be smaller to increase n-gram counts of each word which was erroneously detected as the target keyword. | 0.5 |
8,380,530 | 1 | 7 | 1. A computer-implemented method for processing a personal health record (PHR) including a plurality of events each having a time stamp, the method comprising: creating a plurality of event-concept pairs by mapping each of the plurality of events in the PHR to a corresponding health concept among a plurality of health concepts; assigning to each of the plurality of event-concept pairs the time stamp of the event corresponding to the event-concept pair; identifying associations among the plurality of event-concept pairs, wherein the plurality of health concepts are categorized into a plurality of categories, wherein identifying associations involves referencing a database of stored information specifying associations between health concepts among the plurality of health concepts, wherein at least some of the specified associations are between health concepts that are in different categories in the plurality of categories, and wherein the plurality of categories are medical tests, diseases, symptoms, medications, and treatments; identifying an associative subset of event-concept pairs among the plurality of event-concept pairs, wherein the associative subset includes those events in the PHR that are either associated with a header concept or are associated with another event within the associative subset, and wherein the associated subset includes health concepts that are in different categories of the plurality of categories; and linking a plurality of members of the associative subset of event-concept pairs to form a thread, wherein the thread presents a relationship among the plurality of members of the associative subset of event-concept pairs, wherein creating, assigning, identifying associations, and linking are performed by a computer system. | 1. A computer-implemented method for processing a personal health record (PHR) including a plurality of events each having a time stamp, the method comprising: creating a plurality of event-concept pairs by mapping each of the plurality of events in the PHR to a corresponding health concept among a plurality of health concepts; assigning to each of the plurality of event-concept pairs the time stamp of the event corresponding to the event-concept pair; identifying associations among the plurality of event-concept pairs, wherein the plurality of health concepts are categorized into a plurality of categories, wherein identifying associations involves referencing a database of stored information specifying associations between health concepts among the plurality of health concepts, wherein at least some of the specified associations are between health concepts that are in different categories in the plurality of categories, and wherein the plurality of categories are medical tests, diseases, symptoms, medications, and treatments; identifying an associative subset of event-concept pairs among the plurality of event-concept pairs, wherein the associative subset includes those events in the PHR that are either associated with a header concept or are associated with another event within the associative subset, and wherein the associated subset includes health concepts that are in different categories of the plurality of categories; and linking a plurality of members of the associative subset of event-concept pairs to form a thread, wherein the thread presents a relationship among the plurality of members of the associative subset of event-concept pairs, wherein creating, assigning, identifying associations, and linking are performed by a computer system. 7. The method of claim 1 , further comprising the step of finding a desired event-concept pair in the PHR, the desired event-concept pair satisfying an event-condition. | 0.820128 |
8,027,815 | 5 | 8 | 5. A method for detecting clusters in space and time using input data on occurrences of a disease in a population and characteristics of the population at a plurality of geographic locations and times comprising: determining expected occurrences of the disease at a plurality of geographic locations and a plurality of times; determining actual occurrences of the disease at a plurality of geographic locations and a plurality of times; searching the expected occurrences and the actual occurrences for a plurality of candidate solutions, wherein each solution is represented as a set of points in a three-dimensional space, and wherein each point corresponds to a geographic location at a time; determining at least one solution corresponding to a selected convex container shape from the plurality of candidate solutions, wherein the convex container module determines a solution that maximizes a measure representing the equality between the set of points in the given candidate solution and the set of points included in the solution, given the selected convex container shape; and determining a strength metric for each solution determined by the convex container module, the search module selecting a solution having a desirable strength, wherein the solution having the desirable strength indicates a dominant cluster in the input data corresponding to a detected cluster of the disease in the population. | 5. A method for detecting clusters in space and time using input data on occurrences of a disease in a population and characteristics of the population at a plurality of geographic locations and times comprising: determining expected occurrences of the disease at a plurality of geographic locations and a plurality of times; determining actual occurrences of the disease at a plurality of geographic locations and a plurality of times; searching the expected occurrences and the actual occurrences for a plurality of candidate solutions, wherein each solution is represented as a set of points in a three-dimensional space, and wherein each point corresponds to a geographic location at a time; determining at least one solution corresponding to a selected convex container shape from the plurality of candidate solutions, wherein the convex container module determines a solution that maximizes a measure representing the equality between the set of points in the given candidate solution and the set of points included in the solution, given the selected convex container shape; and determining a strength metric for each solution determined by the convex container module, the search module selecting a solution having a desirable strength, wherein the solution having the desirable strength indicates a dominant cluster in the input data corresponding to a detected cluster of the disease in the population. 8. The method of claim 5 , further comprising generating expected counts of occurrences at the geographic locations and times using a Poisson model. | 0.674009 |
7,661,068 | 1 | 5 | 1. A method for using an eraser for additional operations, the method comprising: providing a pen feature that supports a plurality of eraser gestures; detecting an eraser gesture; and performing an operation associated with the eraser gestures; wherein the operation comprises providing a status of a particular application. | 1. A method for using an eraser for additional operations, the method comprising: providing a pen feature that supports a plurality of eraser gestures; detecting an eraser gesture; and performing an operation associated with the eraser gestures; wherein the operation comprises providing a status of a particular application. 5. The method of claim 1 , wherein the pen comprises a digitized pen. | 0.81746 |
9,256,679 | 13 | 17 | 13. A computer-implemented method for searching and providing information in a system including an information database that stores information contents and a metadata database that stores metadata describing the information contents, the method comprising: detecting an intention of an information searcher by using a result of a syntax analysis of keywords inputted by the information searcher; extracting a plurality of metadata which describe information contents meeting the detected intention of the information searcher from the metadata stored in the metadata database; generating an editor of the information searcher in a table form in which the plurality of metadata extracted from the metadata stored in the metadata database are paired with a plurality of metadata fields of the editor and displaying the generated editor to the information searcher; receiving a plurality of metadata items inputted by the information searcher through the plurality of metadata fields of the editor of the information searcher; determining a search directory for searching contents in the information database according to the detected intention of the information searcher; searching information contents having metadata corresponding to the plurality of metadata items inputted through the plurality of metadata fields of the editor of the information searcher from the information database; comparing the plurality of metadata items inputted through the plurality of metadata fields of the editor of the information searcher with the searched metadata corresponding to the searched information contents; selecting, among the searched information contents, information contents having a degree of coincidence exceeding a pre-defined threshold based on a comparison result; displaying the selected information contents; detecting an intention of an information provider by using a result of the syntax analysis of keywords inputted by the information provider; extracting a plurality of metadata which describe information contents meeting the detected intention of the information provider from the metadata stored in the metadata database; generating an editor of the information provider in a table form in which the plurality of metadata extracted from the metadata stored in the metadata database are paired with a plurality of metadata fields of the editor and displaying the generated editor of the information provider to the information provider; receiving a plurality of metadata items inputted by the information provider through the plurality of metadata fields of the editor of the information provider; determining a store directory for storing information contents in the information database according to the detected intention of the information provider; and storing information contents represented by the plurality of inputted metadata items integrated with the plurality of metadata in the directory of the information database determined according to the intention of the information provider. | 13. A computer-implemented method for searching and providing information in a system including an information database that stores information contents and a metadata database that stores metadata describing the information contents, the method comprising: detecting an intention of an information searcher by using a result of a syntax analysis of keywords inputted by the information searcher; extracting a plurality of metadata which describe information contents meeting the detected intention of the information searcher from the metadata stored in the metadata database; generating an editor of the information searcher in a table form in which the plurality of metadata extracted from the metadata stored in the metadata database are paired with a plurality of metadata fields of the editor and displaying the generated editor to the information searcher; receiving a plurality of metadata items inputted by the information searcher through the plurality of metadata fields of the editor of the information searcher; determining a search directory for searching contents in the information database according to the detected intention of the information searcher; searching information contents having metadata corresponding to the plurality of metadata items inputted through the plurality of metadata fields of the editor of the information searcher from the information database; comparing the plurality of metadata items inputted through the plurality of metadata fields of the editor of the information searcher with the searched metadata corresponding to the searched information contents; selecting, among the searched information contents, information contents having a degree of coincidence exceeding a pre-defined threshold based on a comparison result; displaying the selected information contents; detecting an intention of an information provider by using a result of the syntax analysis of keywords inputted by the information provider; extracting a plurality of metadata which describe information contents meeting the detected intention of the information provider from the metadata stored in the metadata database; generating an editor of the information provider in a table form in which the plurality of metadata extracted from the metadata stored in the metadata database are paired with a plurality of metadata fields of the editor and displaying the generated editor of the information provider to the information provider; receiving a plurality of metadata items inputted by the information provider through the plurality of metadata fields of the editor of the information provider; determining a store directory for storing information contents in the information database according to the detected intention of the information provider; and storing information contents represented by the plurality of inputted metadata items integrated with the plurality of metadata in the directory of the information database determined according to the intention of the information provider. 17. The method of claim 13 , wherein the inputted keywords are one of a word unit, a phrase unit and a sentence unit. | 0.822188 |
10,133,737 | 1 | 22 | 1. A method performed by data processing apparatus, the method comprising: receiving, with one or more processors at a server, an input string having a plurality of terms, the input string being in a first form, wherein a given sequence of the plurality of terms refers to a geographic feature, wherein the given sequence is annotated with a geographic-feature type selected from a plurality of geographic-feature types each indicating a characteristic of an entity in the physical world corresponding to the geographic feature, and wherein the given sequence is stored in an annotated format with the geographic-feature type in a database of geographic labels prior to receiving the input string; transforming, with one or more processors, the input string from the first form to a second form, the transforming including: applying one or more rules to the input string to identify one or more terms for translation, the one or more identified terms being fewer than the plurality of terms, wherein at least some of the rules are applied in response to a match between a feature type of the respective rule and the geographic-feature type with which the given sequence is annotated to indicate the characteristic of the corresponding entity in the physical world, translating the identified one or more terms to one or more translated terms in the second form, and transliterating at least some of the remaining terms of the plurality of terms into transliterated terms in the second form, including selecting one or more transliteration rules for application in accordance with the indicated characteristic of the entity, wherein when the given sequence of the plurality of terms is annotated with a first geographic-feature type of the plurality of geographic-feature types, a first rule of the one or more rules identifies a specific term in the input string for translation in response to a match between a first feature type of the first rule and the first geographic-feature type, and when the given sequence of the plurality of terms is annotated with a second geographic-feature type of the plurality of geographic-feature types, a second rule of the one or more rules identifies the same specific term in the input string for transliteration in response to a match between a second feature type of the second rule and the second geographic-feature type, wherein the specific term is translated or transliterated to a term having the same grammatical form as the specific term; the method further comprising: concatenating, with one or more processors, at least the translated and transliterated terms to form a hybrid output string in the second form; and storing the hybrid output string in the database of geographic labels; and when a map of a geographic region including the entity is requested for display: (i) retrieving the hybrid output string from the database and (ii) providing, via a network interface, the hybrid output string along with map data for presenting the map with the hybrid output string at a client device. | 1. A method performed by data processing apparatus, the method comprising: receiving, with one or more processors at a server, an input string having a plurality of terms, the input string being in a first form, wherein a given sequence of the plurality of terms refers to a geographic feature, wherein the given sequence is annotated with a geographic-feature type selected from a plurality of geographic-feature types each indicating a characteristic of an entity in the physical world corresponding to the geographic feature, and wherein the given sequence is stored in an annotated format with the geographic-feature type in a database of geographic labels prior to receiving the input string; transforming, with one or more processors, the input string from the first form to a second form, the transforming including: applying one or more rules to the input string to identify one or more terms for translation, the one or more identified terms being fewer than the plurality of terms, wherein at least some of the rules are applied in response to a match between a feature type of the respective rule and the geographic-feature type with which the given sequence is annotated to indicate the characteristic of the corresponding entity in the physical world, translating the identified one or more terms to one or more translated terms in the second form, and transliterating at least some of the remaining terms of the plurality of terms into transliterated terms in the second form, including selecting one or more transliteration rules for application in accordance with the indicated characteristic of the entity, wherein when the given sequence of the plurality of terms is annotated with a first geographic-feature type of the plurality of geographic-feature types, a first rule of the one or more rules identifies a specific term in the input string for translation in response to a match between a first feature type of the first rule and the first geographic-feature type, and when the given sequence of the plurality of terms is annotated with a second geographic-feature type of the plurality of geographic-feature types, a second rule of the one or more rules identifies the same specific term in the input string for transliteration in response to a match between a second feature type of the second rule and the second geographic-feature type, wherein the specific term is translated or transliterated to a term having the same grammatical form as the specific term; the method further comprising: concatenating, with one or more processors, at least the translated and transliterated terms to form a hybrid output string in the second form; and storing the hybrid output string in the database of geographic labels; and when a map of a geographic region including the entity is requested for display: (i) retrieving the hybrid output string from the database and (ii) providing, via a network interface, the hybrid output string along with map data for presenting the map with the hybrid output string at a client device. 22. The method of claim 1 , wherein transliterating at least some of the remaining terms of the plurality of terms into transliterated terms in the second form includes transliterating a term in the input string based on context of other terms in the input string and based on the first and second forms. | 0.771772 |
4,469,436 | 3 | 4 | 3. In a recirculating document handling apparatus including document storage means for stacking and restacking a set of plural document sheets and document feeding means for feeding those document sheets from the bottom of a stack thereof in said storage means to the platen of a copier and document restacking means for returning those document sheets from the platen and restacking them on top of said stack in said storage means, for seriatim percollation recirculative copying of the document sheets after they have restacked, the improvement comprising: alternative large document recirculation means for plurally immediately recirculating a single long document sheet which is longer than said document storage means for making plural sequential copies thereof, said large document recirculation means including diverter means associated with said restacking means, said diverter means being repositionable for said long document sheet so as to intercept the normal document return path through said document restacking means into said storage means for feeding said long document sheet in a different path over rather than into said storage means directly from said restacking means into said document sheet feeding means without stacking for immediate and continuous recirculation of said single long document sheet. | 3. In a recirculating document handling apparatus including document storage means for stacking and restacking a set of plural document sheets and document feeding means for feeding those document sheets from the bottom of a stack thereof in said storage means to the platen of a copier and document restacking means for returning those document sheets from the platen and restacking them on top of said stack in said storage means, for seriatim percollation recirculative copying of the document sheets after they have restacked, the improvement comprising: alternative large document recirculation means for plurally immediately recirculating a single long document sheet which is longer than said document storage means for making plural sequential copies thereof, said large document recirculation means including diverter means associated with said restacking means, said diverter means being repositionable for said long document sheet so as to intercept the normal document return path through said document restacking means into said storage means for feeding said long document sheet in a different path over rather than into said storage means directly from said restacking means into said document sheet feeding means without stacking for immediate and continuous recirculation of said single long document sheet. 4. The recirculating document handling apparatus of claim 3 wherein said alternative large document recirculation means is coordinated with optical means providing stationary optics copying of said long document by moving it past said optical means at said platen with said document feeding means being operated at a constant speed and wherein said optical means alternatively provides optical scanning means of the other document sheets fed from said storage means with said document feeding means being operated intermittently. | 0.5 |
7,979,375 | 16 | 20 | 16. A method for generating a ranked list of alternatives, the method comprising a computer executing the steps of: generating a homogeneous matrix of scores based on a heterogeneous matrix of attributes and alternatives, receiving two or more tradeoff values, generating a ranked list of alternatives based on the homogeneous matrix of scores and the tradeoff values, and using a training program to create a logic graph. | 16. A method for generating a ranked list of alternatives, the method comprising a computer executing the steps of: generating a homogeneous matrix of scores based on a heterogeneous matrix of attributes and alternatives, receiving two or more tradeoff values, generating a ranked list of alternatives based on the homogeneous matrix of scores and the tradeoff values, and using a training program to create a logic graph. 20. A method as recited in claim 16 , wherein the tradeoff value corresponds to an ideal profile for required goods and the ranked list of alternatives corresponds to bids. | 0.578431 |
9,922,654 | 1 | 7 | 1. A method for accurately decoding spoken utterances with a plurality of utterance decoders, the method comprising: determining a first utterance decoder based on word error rate; calculating a system diversity metric value for each of the plurality of other utterance decoders based on each individual utterance decoder's word error rate and likelihood of agreement with a result of the first utterance decoder; ordering the plurality of utterance decoders into a series, the plurality of utterance decoders ordered according to the calculated system diversity metric values; decoding a spoken utterance with the first utterance decoder in the series and a second utterance decoder in the series; and merging results from the first utterance decoder and the second utterance decoder. | 1. A method for accurately decoding spoken utterances with a plurality of utterance decoders, the method comprising: determining a first utterance decoder based on word error rate; calculating a system diversity metric value for each of the plurality of other utterance decoders based on each individual utterance decoder's word error rate and likelihood of agreement with a result of the first utterance decoder; ordering the plurality of utterance decoders into a series, the plurality of utterance decoders ordered according to the calculated system diversity metric values; decoding a spoken utterance with the first utterance decoder in the series and a second utterance decoder in the series; and merging results from the first utterance decoder and the second utterance decoder. 7. The method of claim 1 , wherein the first utterance decoder has a lowest word error rate of the plurality of utterance decoders, and the second utterance decoder is identified based on a metric comprising a weighted sum derived from its word error rate and its agreement rate with the first utterance decoder. | 0.542522 |
10,149,123 | 1 | 11 | 1. A method, comprising: receiving a first message comprising a first key word; receiving a request to display the first message; in response to receiving the request to display the first message, displaying a first part of information associated with the first key word; receiving a trigger associated with the first part of information; in response to receiving the trigger associated with the first part of information, obtaining a second part of information associated with the first key word; outputting a second message based at least in part on the second part of information associated with the first key word; extracting a second key word from the second message; determining whether the second key word matches the first key word; and in response to a determination that the second key word matches the first key word, deleting information associated with the first message. | 1. A method, comprising: receiving a first message comprising a first key word; receiving a request to display the first message; in response to receiving the request to display the first message, displaying a first part of information associated with the first key word; receiving a trigger associated with the first part of information; in response to receiving the trigger associated with the first part of information, obtaining a second part of information associated with the first key word; outputting a second message based at least in part on the second part of information associated with the first key word; extracting a second key word from the second message; determining whether the second key word matches the first key word; and in response to a determination that the second key word matches the first key word, deleting information associated with the first message. 11. The method of claim 1 , wherein the first key word comprises product information or order information. | 0.896282 |
8,688,602 | 20 | 21 | 20. A system for generating metadata relating to a media object, the system comprising: a content analysis module configured to determine input data, the input data comprising content data determined by analyzing content of the media object; a machine learning module, configured to generate new metadata responsive to the input data; and metadata storage, configured to receive the new metadata and store the new metadata as well as a correspondence between the new metadata and the media object. | 20. A system for generating metadata relating to a media object, the system comprising: a content analysis module configured to determine input data, the input data comprising content data determined by analyzing content of the media object; a machine learning module, configured to generate new metadata responsive to the input data; and metadata storage, configured to receive the new metadata and store the new metadata as well as a correspondence between the new metadata and the media object. 21. The system of claim 20 , further comprising a feedback module, configured to collect feedback relating to the correspondence, wherein the metadata storage is further configured to modify the correspondence responsive to the feedback. | 0.573741 |
8,667,391 | 1 | 2 | 1. A method of enabling input into a handheld electronic device having a touch screen display, a processor, and having available therein a plurality of input method languages and a text disambiguation function that is structured to employ an operative one of the input method languages, the method comprising: detecting, as a first input from the touch screen display, selection of at least one linguistic element; outputting a first plurality of selectable language objects that correspond with the first input and associated with an operative input method language; outputting, at a location adjacent the first plurality of selectable language objects, a selectable indicator representative of the operative input method language; detecting as a second input, from the touch screen display concurrently displaying the first plurality of selectable language objects, selection of the selectable indicator; outputting a set of input method languages selectable as alternate operative input method languages based on the detection of the second input detecting an additional input as being a selection of an alternate input method language from the set of input method languages, wherein the additional input is from the touch screen display, which concurrently displays the first plurality of selectable language objects; and replacing the first plurality of selectable language objects with a second plurality of selectable language objects associated with the alternate input method language. | 1. A method of enabling input into a handheld electronic device having a touch screen display, a processor, and having available therein a plurality of input method languages and a text disambiguation function that is structured to employ an operative one of the input method languages, the method comprising: detecting, as a first input from the touch screen display, selection of at least one linguistic element; outputting a first plurality of selectable language objects that correspond with the first input and associated with an operative input method language; outputting, at a location adjacent the first plurality of selectable language objects, a selectable indicator representative of the operative input method language; detecting as a second input, from the touch screen display concurrently displaying the first plurality of selectable language objects, selection of the selectable indicator; outputting a set of input method languages selectable as alternate operative input method languages based on the detection of the second input detecting an additional input as being a selection of an alternate input method language from the set of input method languages, wherein the additional input is from the touch screen display, which concurrently displays the first plurality of selectable language objects; and replacing the first plurality of selectable language objects with a second plurality of selectable language objects associated with the alternate input method language. 2. The method of claim 1 , further comprising outputting the first plurality of selectable language objects towards a first end of a window on the touch screen display and outputting the selectable indicator towards a second end of the window. | 0.583904 |
9,753,918 | 1 | 2 | 1. A method comprising: receiving from a user an utterance in a first language including a first term; by a speech translation system, translating the utterance from the first language into a second language; receiving an indication from the user to initiate a user customization process for customizing one or more modules of the speech translation system to the user; and under the user customization process: receiving an indication from the user to add the first term to one or more modules of the speech translation system; in response to the received indication from the user, determining word class information for the first term; adding, by the speech translation system, the first term, the determined word class information, and at least a portion of the translation of the utterance in the second language to a first machine translation module associated with the first language of the speech translation system; and adding the first term and the at least a portion of the translation of the utterance in the second language to a shared database for a community such that the customization performed by the user is available for use by other users of the community in translations by the speech translation system. | 1. A method comprising: receiving from a user an utterance in a first language including a first term; by a speech translation system, translating the utterance from the first language into a second language; receiving an indication from the user to initiate a user customization process for customizing one or more modules of the speech translation system to the user; and under the user customization process: receiving an indication from the user to add the first term to one or more modules of the speech translation system; in response to the received indication from the user, determining word class information for the first term; adding, by the speech translation system, the first term, the determined word class information, and at least a portion of the translation of the utterance in the second language to a first machine translation module associated with the first language of the speech translation system; and adding the first term and the at least a portion of the translation of the utterance in the second language to a shared database for a community such that the customization performed by the user is available for use by other users of the community in translations by the speech translation system. 2. The method of claim 1 , further comprising: retrieving a second term from the shared database; and adding the second term from the shared database to the first machine translation module. | 0.770531 |
9,454,966 | 15 | 16 | 15. The system of claim 9 , the computer-readable storage medium having additional instructions stored which, when executed by the processor, cause the processor to perform operations comprising recognizing additional speech from the user using the personalized user model. | 15. The system of claim 9 , the computer-readable storage medium having additional instructions stored which, when executed by the processor, cause the processor to perform operations comprising recognizing additional speech from the user using the personalized user model. 16. The system of claim 15 , the computer-readable storage medium having additional instructions stored which, when executed by the processor, cause the processor to perform operations comprising iteratively improving the personalized user model based on the additional speech. | 0.5 |
6,097,888 | 22 | 28 | 22. A method in a computer system for generating executable instructions that implement a computer program represented by an intentional program tree, the intentional program tree having nodes representing high-level computational constructs that form the computer program, the method comprising: for each node of the intentional program tree, selecting a reduction enzyme for the high-level computational construct of the node; and invoking the selected reduction enzyme to transform a portion of the intentional program tree relating to the node to represent the high-level computational construct using low-level computational constructs; and after invoking the selected reduction enzymes, generating executable code from the transformed representation of the intentional program tree to implement the computer program. | 22. A method in a computer system for generating executable instructions that implement a computer program represented by an intentional program tree, the intentional program tree having nodes representing high-level computational constructs that form the computer program, the method comprising: for each node of the intentional program tree, selecting a reduction enzyme for the high-level computational construct of the node; and invoking the selected reduction enzyme to transform a portion of the intentional program tree relating to the node to represent the high-level computational construct using low-level computational constructs; and after invoking the selected reduction enzymes, generating executable code from the transformed representation of the intentional program tree to implement the computer program. 28. The method of claim 22 wherein the generating of executable code is performed by a code generator portion of an existing compiler for a programming language. | 0.78125 |
5,577,253 | 2 | 4 | 2. The method of claim 1, wherein said optimizing further comprises updating said set of induction variable candidates by examining tuples in said sequence and eliminating a variable from said set of induction variable candidates when said variable does not conform to predetermined rules that define an induction variable; and using said set of induction variable candidates to perform one or more code optimizations. | 2. The method of claim 1, wherein said optimizing further comprises updating said set of induction variable candidates by examining tuples in said sequence and eliminating a variable from said set of induction variable candidates when said variable does not conform to predetermined rules that define an induction variable; and using said set of induction variable candidates to perform one or more code optimizations. 4. The method of claim 2 further comprising using effect indicators and dependency indicators to validate a first code optimization and to perform a second code optimization that affects tuples included in said programming loop construct. | 0.790123 |
10,062,104 | 1 | 2 | 1. A method comprising: sending a connection request, from a seller application executing on a client machine, to a network-based transaction facility, the seller application being customizable and being customized by receiving configuration information from the network-based transaction facility, the configuration information including a hierarchal product category structure for generating a listing for a product for sale; receiving, by the seller application, a current version of the configuration information from the network-based transaction facility; sending, by the seller application, configuration confirmation to the network-based transaction facility, the configuration confirmation indicating the seller application is configured using the current version of the configuration information including the hierarchal product category structure; and sending a request for a transaction listing, the transaction listing being generated based on the current version of the configuration information. | 1. A method comprising: sending a connection request, from a seller application executing on a client machine, to a network-based transaction facility, the seller application being customizable and being customized by receiving configuration information from the network-based transaction facility, the configuration information including a hierarchal product category structure for generating a listing for a product for sale; receiving, by the seller application, a current version of the configuration information from the network-based transaction facility; sending, by the seller application, configuration confirmation to the network-based transaction facility, the configuration confirmation indicating the seller application is configured using the current version of the configuration information including the hierarchal product category structure; and sending a request for a transaction listing, the transaction listing being generated based on the current version of the configuration information. 2. The method of claim 1 , further comprises sending a selection of a web site to the network-based transaction facility, the selection identifying the web site as being selected by a user of the seller application. | 0.664063 |
8,229,903 | 23 | 24 | 23. The computer program product of claim 22 , further comprising program code for: converting said text to a code form that is readable by a clustering algorithm, wherein the clustering algorithm groups into clusters examples of events that are similar to each other; and passing said code form to said clustering algorithm. | 23. The computer program product of claim 22 , further comprising program code for: converting said text to a code form that is readable by a clustering algorithm, wherein the clustering algorithm groups into clusters examples of events that are similar to each other; and passing said code form to said clustering algorithm. 24. The computer program product of claim 23 , further comprising program code for: grouping similar elements of said database into subgroups; and generating a feature vector for said subgroups with an associated set of valid values. | 0.5 |
8,972,260 | 1 | 2 | 1. A method of generating language models for speech recognition comprising: identifying a plurality of utterances in training data corresponding to speech; generating a frequency count of each utterance in the plurality of utterances; generating a high-frequency plurality of utterances from the plurality of utterances having a frequency that exceeds a predetermined frequency threshold; generating a low-frequency plurality of utterances from the plurality of utterances having a frequency that is below the predetermined frequency threshold; generating with at least one processor a grammar-based language model using the high-frequency plurality of utterances as training data; storing the grammar based language model in a memory; generating with the at least one processor a statistical language model using the low-frequency plurality of utterances as training data; and storing the statistical language model in the memory. | 1. A method of generating language models for speech recognition comprising: identifying a plurality of utterances in training data corresponding to speech; generating a frequency count of each utterance in the plurality of utterances; generating a high-frequency plurality of utterances from the plurality of utterances having a frequency that exceeds a predetermined frequency threshold; generating a low-frequency plurality of utterances from the plurality of utterances having a frequency that is below the predetermined frequency threshold; generating with at least one processor a grammar-based language model using the high-frequency plurality of utterances as training data; storing the grammar based language model in a memory; generating with the at least one processor a statistical language model using the low-frequency plurality of utterances as training data; and storing the statistical language model in the memory. 2. The method of claim 1 , further comprising: performing a plurality of speech recognition experiments with the grammar-based language model; identifying a performance of the grammar-based language model in the speech recognition experiments; generating a second low-frequency plurality of utterances and second high-frequency plurality of utterances from the high-frequency plurality of utterances when the performance of the grammar-based language model is below a predetermined performance threshold; generating a second grammar-based language model using the second high-frequency plurality of utterances as training data by executing with the at least one processor program instructions stored in the memory; and generating a second statistical language model using the second low-frequency plurality of utterances as training data by executing with the at least one processor the program instructions stored in the memory. | 0.5 |
9,898,383 | 15 | 17 | 15. A database system capable of analyzing a plurality of database queries within a database environment, the database system comprising: one or more databases; an intelligent query analysis agent coupled to receive a first statistical evaluation of a first query plan for a first database query corresponding to a first database having a first database schema and a second statistical evaluation for a second query plan for a second database query corresponding to a second database having a second database schema, to compare the first statistical evaluation and the second statistical evaluation to determine whether the first query plan matches the second query plan, to cause to be stored in the one or more databases an indication that the first query matches the second query if the first statistical evaluation matches the second statistical evaluation, to determine a function that provides the first query plan, to determine if the second query plan is provided by the function that provides the first query plan, to evaluate data objects referenced by the first query plan and the second query plan if the function provides both the first query plan and the second query plan to determine if the first query plan and the second query plan are syntactically different versions of equivalent database queries, and to cause to be stored in the database statistics if the first query plan and the second query plan are syntactically different versions of equivalent database queries. | 15. A database system capable of analyzing a plurality of database queries within a database environment, the database system comprising: one or more databases; an intelligent query analysis agent coupled to receive a first statistical evaluation of a first query plan for a first database query corresponding to a first database having a first database schema and a second statistical evaluation for a second query plan for a second database query corresponding to a second database having a second database schema, to compare the first statistical evaluation and the second statistical evaluation to determine whether the first query plan matches the second query plan, to cause to be stored in the one or more databases an indication that the first query matches the second query if the first statistical evaluation matches the second statistical evaluation, to determine a function that provides the first query plan, to determine if the second query plan is provided by the function that provides the first query plan, to evaluate data objects referenced by the first query plan and the second query plan if the function provides both the first query plan and the second query plan to determine if the first query plan and the second query plan are syntactically different versions of equivalent database queries, and to cause to be stored in the database statistics if the first query plan and the second query plan are syntactically different versions of equivalent database queries. 17. The system of claim 15 wherein the database environment comprises a multitenant database environment to store data for multiple client entities each identified by a tenant identifier (ID) having one of one or more users associated with the tenant ID, wherein users of each of multiple client entities can only access data identified by a tenant ID associated with the respective client entity, and wherein the multitenant database is a hosted database provided by an entity separate from the client entities, and provides on-demand database service to the client entities. | 0.5 |
4,460,975 | 16 | 20 | 16. A process for electronically generating a format for a computer printout from a series of commands comprising the steps of: (a) prompting a series of commands by a user, the commands defining the format; (b) recording the series of user commands; (c) incorporating a series of generic default format commands with the user commands; (d) recording data designated by the user; and (e) converting the recorded commands and data into electrical impulses to direct a printer to represent the data according to the format specified by the commands. | 16. A process for electronically generating a format for a computer printout from a series of commands comprising the steps of: (a) prompting a series of commands by a user, the commands defining the format; (b) recording the series of user commands; (c) incorporating a series of generic default format commands with the user commands; (d) recording data designated by the user; and (e) converting the recorded commands and data into electrical impulses to direct a printer to represent the data according to the format specified by the commands. 20. The process of claim 16 wherein the series of user commands are recorded in the processor memory of the computer. | 0.860714 |
5,509,103 | 1 | 18 | 1. A method of training a neural network used in a speech-recognition system, said neural network comprising a plurality of neurons, said method comprising the following steps: receiving an example spoken word; performing analog-to-digital conversion of said example spoken word to produce a digitized signal; performing cepstral analysis of said digitized signal to produce a sequence of data frames; generating a plurality of data blocks from said sequence of data frames; determining if said neural network is to recognize said example spoken word; (i) if so, equating neural network output to one; (ii) if not, equating said neural network output to zero; and training said neural network by calculating a plurality of weight values for said neural network, wherein if the number of said neurons is equal to the number of said data blocks, a matrix-inversion technique is used to calculate said weight values, otherwise, a least-squares estimation technique is used to calculate said weight values. | 1. A method of training a neural network used in a speech-recognition system, said neural network comprising a plurality of neurons, said method comprising the following steps: receiving an example spoken word; performing analog-to-digital conversion of said example spoken word to produce a digitized signal; performing cepstral analysis of said digitized signal to produce a sequence of data frames; generating a plurality of data blocks from said sequence of data frames; determining if said neural network is to recognize said example spoken word; (i) if so, equating neural network output to one; (ii) if not, equating said neural network output to zero; and training said neural network by calculating a plurality of weight values for said neural network, wherein if the number of said neurons is equal to the number of said data blocks, a matrix-inversion technique is used to calculate said weight values, otherwise, a least-squares estimation technique is used to calculate said weight values. 18. The method recited in claim 1, wherein said least-squares estimation technique utilizes a Kalman filter. | 0.960206 |
8,645,137 | 10 | 11 | 10. The method of claim 8 further comprising: decomposing the second plurality of phoneme-independent feature vectors into the at least one speaker-specific recognition unit; and computing the at least one speaker-specific distribution value from the at least one speaker-specific recognition unit. | 10. The method of claim 8 further comprising: decomposing the second plurality of phoneme-independent feature vectors into the at least one speaker-specific recognition unit; and computing the at least one speaker-specific distribution value from the at least one speaker-specific recognition unit. 11. The method of claim 10 further comprising: generating the at least one speaker-specific recognition unit from a singular value matrix of a singular value decomposition of the second plurality of phoneme-independent feature vectors. | 0.5 |
8,745,028 | 8 | 14 | 8. A system, comprising: one or more memories storing instructions; and one or more processors to execute the instructions to: receive a search query that includes search terms; parse the search query to define one or more combinations of the search terms, each combination, of the one or more combinations of the search terms, including a subset of the search terms; match the subset of the search terms, in at least one combination, to a pattern of terms at different hierarchical levels in a hierarchical taxonomy, when matching the subset of the search terms, in the at least one combination, to the pattern of terms at the different hierarchical levels in the hierarchical taxonomy, the one or more processors are to: match a first search term, of the subset of the search terms in the at least one combination, to a first term of the pattern of terms at the different hierarchical levels, the first term being at a first hierarchical level of the different hierarchical levels, and match a second search term, of the subset of the search terms in the at least one combination, to a second term of the pattern of terms at the different hierarchical levels, the second term being at a second hierarchical level of the different hierarchical levels, the second hierarchical level being different from the first hierarchical level, the first search term, of the subset of the search terms in the at least one combination, and the second search term, of the subset of the search terms in the at least one combination, being adjacent search terms; determine that the at least one combination exists in a hierarchical relationship based on matching the subset of the search terms, in the at least one combination, to the pattern of terms at the different hierarchical levels in the hierarchical taxonomy; score the at least one combination based on matching the subset of the search terms, in the at least one combination, to the pattern of terms at the different hierarchical levels in the hierarchical taxonomy; interpret the at least one combination based on matching the subset of the search terms, in the at least one combination, to the pattern of terms at the different hierarchical levels in the hierarchical taxonomy when the score is greater than a threshold; and conduct a search, based on interpreting the at least one combination, to obtain search results responsive to the search query. | 8. A system, comprising: one or more memories storing instructions; and one or more processors to execute the instructions to: receive a search query that includes search terms; parse the search query to define one or more combinations of the search terms, each combination, of the one or more combinations of the search terms, including a subset of the search terms; match the subset of the search terms, in at least one combination, to a pattern of terms at different hierarchical levels in a hierarchical taxonomy, when matching the subset of the search terms, in the at least one combination, to the pattern of terms at the different hierarchical levels in the hierarchical taxonomy, the one or more processors are to: match a first search term, of the subset of the search terms in the at least one combination, to a first term of the pattern of terms at the different hierarchical levels, the first term being at a first hierarchical level of the different hierarchical levels, and match a second search term, of the subset of the search terms in the at least one combination, to a second term of the pattern of terms at the different hierarchical levels, the second term being at a second hierarchical level of the different hierarchical levels, the second hierarchical level being different from the first hierarchical level, the first search term, of the subset of the search terms in the at least one combination, and the second search term, of the subset of the search terms in the at least one combination, being adjacent search terms; determine that the at least one combination exists in a hierarchical relationship based on matching the subset of the search terms, in the at least one combination, to the pattern of terms at the different hierarchical levels in the hierarchical taxonomy; score the at least one combination based on matching the subset of the search terms, in the at least one combination, to the pattern of terms at the different hierarchical levels in the hierarchical taxonomy; interpret the at least one combination based on matching the subset of the search terms, in the at least one combination, to the pattern of terms at the different hierarchical levels in the hierarchical taxonomy when the score is greater than a threshold; and conduct a search, based on interpreting the at least one combination, to obtain search results responsive to the search query. 14. The system of claim 8 , where, when scoring the at least one combination, the one or more processors are to score the at least one combination based on a score associated with a template that matches the pattern of terms. | 0.504405 |
8,527,081 | 1 | 6 | 1. A computer-implemented method of validating a semiconductor process recipe, comprising: selecting a rule set describing an operating window for a semiconductor process tool; checking parameter values defined by steps in the semiconductor process recipe against limit-checking rules of the rule set to produce first results; determining step types from the steps in the semiconductor process recipe using step definition rules of the rule set to produce second results; checking transitions between the step types against step transition rules of the rule set to produce third results; and generating, using the computer, validation data for use of the semiconductor process recipe with the semiconductor process tool based on the first, the second, and the third results. | 1. A computer-implemented method of validating a semiconductor process recipe, comprising: selecting a rule set describing an operating window for a semiconductor process tool; checking parameter values defined by steps in the semiconductor process recipe against limit-checking rules of the rule set to produce first results; determining step types from the steps in the semiconductor process recipe using step definition rules of the rule set to produce second results; checking transitions between the step types against step transition rules of the rule set to produce third results; and generating, using the computer, validation data for use of the semiconductor process recipe with the semiconductor process tool based on the first, the second, and the third results. 6. The method of claim 1 , wherein the validation data includes at least one error indicator describing violation of at least one rule of the rule set. | 0.65991 |
7,707,147 | 1 | 2 | 1. An information system comprising: an accessing unit adapted to access a first collection of data items; a retrieval-request unit adapted to enable a user of said information system to identify a class of data items said user desires to retrieve from a remote information system, wherein the user identifies said class of data items by reference to a set of one or more examples, said examples being data items in said first collection; an information agent responsive to the retrieval-request unit and adapted to prepare an initial query for transmitting the user's request to a remote information system, said information agent comprising a classifier adapted automatically to determine a data-item-category applicable to said set of examples identified by the user; a coder adapted to select a label from among a set of one or more labels associated with the data-item-category determined by the classifier, the information agent is adapted to designate the category of data item desired for retrieval by including in the initial query the label selected by the coder; an output unit adapted to output the initial query prepared by the information agent as a query; an input unit adapted to receive information identifying data items retrieved by a remote information system in response to the query output by said output unit; a presentation unit adapted to present the user with said information identifying the data items retrieved by the remote information system; and a selection unit to enable the first user to make a selection from among the data items retrieved from the remote information system in response to a query; wherein the information agent maintains an inventory of categories, labels, and bindings associating labels and categories with each other, and the coder is adapted to select, from among the set of one or more labels associated with the data-item-category determined by the classifier, the label which the inventory indicates has the strongest binding to said determined data-item-category; and the information agent is responsive to the selection unit to increase the strength of the binding, between the label included in the initial query and the data-item-category determined by the classifier, relative to the strength of the binding between said determined data-item category and other labels of said set of labels associated with said determined data-item-category, when the user's selection indicates that data retrieved by said remote information system in response to the initial query of the user conforming to the user's initial query, and to reduce the strength of the binding, between the label included in the initial query and the data-item-category determined by the classifier, relative to the strength of the binding between said determined data-item category and other labels of said set of labels associated with said determined data-item-category, when the selection of the user indicates that data retrieved by the remote information system in response to the initial query of the user does not conform to the user's initial query. | 1. An information system comprising: an accessing unit adapted to access a first collection of data items; a retrieval-request unit adapted to enable a user of said information system to identify a class of data items said user desires to retrieve from a remote information system, wherein the user identifies said class of data items by reference to a set of one or more examples, said examples being data items in said first collection; an information agent responsive to the retrieval-request unit and adapted to prepare an initial query for transmitting the user's request to a remote information system, said information agent comprising a classifier adapted automatically to determine a data-item-category applicable to said set of examples identified by the user; a coder adapted to select a label from among a set of one or more labels associated with the data-item-category determined by the classifier, the information agent is adapted to designate the category of data item desired for retrieval by including in the initial query the label selected by the coder; an output unit adapted to output the initial query prepared by the information agent as a query; an input unit adapted to receive information identifying data items retrieved by a remote information system in response to the query output by said output unit; a presentation unit adapted to present the user with said information identifying the data items retrieved by the remote information system; and a selection unit to enable the first user to make a selection from among the data items retrieved from the remote information system in response to a query; wherein the information agent maintains an inventory of categories, labels, and bindings associating labels and categories with each other, and the coder is adapted to select, from among the set of one or more labels associated with the data-item-category determined by the classifier, the label which the inventory indicates has the strongest binding to said determined data-item-category; and the information agent is responsive to the selection unit to increase the strength of the binding, between the label included in the initial query and the data-item-category determined by the classifier, relative to the strength of the binding between said determined data-item category and other labels of said set of labels associated with said determined data-item-category, when the user's selection indicates that data retrieved by said remote information system in response to the initial query of the user conforming to the user's initial query, and to reduce the strength of the binding, between the label included in the initial query and the data-item-category determined by the classifier, relative to the strength of the binding between said determined data-item category and other labels of said set of labels associated with said determined data-item-category, when the selection of the user indicates that data retrieved by the remote information system in response to the initial query of the user does not conform to the user's initial query. 2. The information system of claim 1 , comprising: a structuring unit to enable the user to define a data structure applicable to data items of said first collection, the nodes of said data structure being labeled according to a user taxonomy; wherein the retrieval-request unit is further adapted to enable a user of said information system to identify, by reference to the user taxonomy, the class of data item desired for retrieval. | 0.742908 |
8,499,307 | 1 | 11 | 1. A computer system having a memory storing computer executable instructions comprising at least a portion of a supervisory process control and manufacturing information system application distributable to a plurality of networked computer devices and having a layered architecture, the application comprising: application objects that model entities within a process control system, at least one of the application objects comprising: a set of text entries corresponding to words presentable on a user interface in at least a first language; and a set of translation dictionary entry references specified for the set of text entries to enable the set of text entries to be presented in at least a second language different than the first language, and wherein each translation dictionary entry, referenced by one of the set of translation dictionary entry references, includes a set of one or more translation fields for storing text in at least the second language; a scheduler process that scans and executes a set of registered application objects in a run-time environment; engine objects that register the application objects with the scheduler process, start the application objects in a run-time environment, and command the scheduler process to execute the set of registered application objects; and platform objects that execute the engine objects and associated application objects, wherein the at least one of the application objects communicates with other application objects on a same computing device through the engine objects, and communications across the plurality of networked computing devices are supported by the platform objects, thereby insulating communications among application objects from a topology of the computer system within which the application objects execute. | 1. A computer system having a memory storing computer executable instructions comprising at least a portion of a supervisory process control and manufacturing information system application distributable to a plurality of networked computer devices and having a layered architecture, the application comprising: application objects that model entities within a process control system, at least one of the application objects comprising: a set of text entries corresponding to words presentable on a user interface in at least a first language; and a set of translation dictionary entry references specified for the set of text entries to enable the set of text entries to be presented in at least a second language different than the first language, and wherein each translation dictionary entry, referenced by one of the set of translation dictionary entry references, includes a set of one or more translation fields for storing text in at least the second language; a scheduler process that scans and executes a set of registered application objects in a run-time environment; engine objects that register the application objects with the scheduler process, start the application objects in a run-time environment, and command the scheduler process to execute the set of registered application objects; and platform objects that execute the engine objects and associated application objects, wherein the at least one of the application objects communicates with other application objects on a same computing device through the engine objects, and communications across the plurality of networked computing devices are supported by the platform objects, thereby insulating communications among application objects from a topology of the computer system within which the application objects execute. 11. The computer system of claim 1 , wherein the set of text entries in the first language comprises a context definition. | 0.718894 |
8,560,315 | 8 | 10 | 8. A conference support method that, by controlling communication among a plurality of conference terminals, is configured to support a video conference that is conducted among conference participants who are using the conference terminals, the conference support method comprising: receiving, from the plurality of the conference terminals, captured images that are captured by image capture devices of the conference terminals and in each of which at least one of the conference participants is visible; receiving, from a first conference terminal that is one of the plurality of the conference terminals, a voice that is generated by a first participant, the first participant being one of the conference participants and being using the first conference terminal, the voice being input from a voice input device of the first conference terminal; identifying words that are included in the received voice by voice recognition processing; creating text data that express the identified words; specifying a second participant who is a different conference participant from the first participant based on a result of voice recognition processing, the second participant corresponding to the identified words and being at least one of the conference participants; creating a display image that is to be displayed on display devices of the plurality of the conference terminals from the captured images that have been received, and in which the text data that have been created are associated with a first portion of the captured image that corresponds to the first participant and a specified image is associated with a second portion of the captured image that corresponds to the second participant, the specified image being an image that indicates that the second participant is addressed by the first participant; and transmitting the created display image to the plurality of the conference terminals, in order for the display image to be displayed on the display devices of the plurality of the conference terminals. | 8. A conference support method that, by controlling communication among a plurality of conference terminals, is configured to support a video conference that is conducted among conference participants who are using the conference terminals, the conference support method comprising: receiving, from the plurality of the conference terminals, captured images that are captured by image capture devices of the conference terminals and in each of which at least one of the conference participants is visible; receiving, from a first conference terminal that is one of the plurality of the conference terminals, a voice that is generated by a first participant, the first participant being one of the conference participants and being using the first conference terminal, the voice being input from a voice input device of the first conference terminal; identifying words that are included in the received voice by voice recognition processing; creating text data that express the identified words; specifying a second participant who is a different conference participant from the first participant based on a result of voice recognition processing, the second participant corresponding to the identified words and being at least one of the conference participants; creating a display image that is to be displayed on display devices of the plurality of the conference terminals from the captured images that have been received, and in which the text data that have been created are associated with a first portion of the captured image that corresponds to the first participant and a specified image is associated with a second portion of the captured image that corresponds to the second participant, the specified image being an image that indicates that the second participant is addressed by the first participant; and transmitting the created display image to the plurality of the conference terminals, in order for the display image to be displayed on the display devices of the plurality of the conference terminals. 10. The conference support method according to claim 8 , wherein the specifying the second participant includes, in a case where the identified words by the voice recognition processing include a first specified word, specifying all of the conference participants except the first participant as the second participant, and the creating the display image includes, in a case where all of the conference participants except the first participant are specified as the second participant, creating the display image by associating the specified image with the second portion of the captured image that correspond to the second participant. | 0.594388 |
8,849,843 | 7 | 10 | 7. A computer-implemented method of facilitating the association of semantic labels with content, the method being implemented in a computer system comprising one or more processors configured to execute computer modules, the method comprising: obtaining a matched set of documents, wherein the matched set of documents includes a structured document and a unstructured document having related content; identifying numeric instances present in the structured document and the unstructured document such that a first set of numeric instances present in the structured document are identified and a second set of numeric instances present in the unstructured document are identified; correlating numeric instances in the first set of numeric instances and the second set of numeric instances that express matching numbers such that, responsive to the first set of numeric instances including a first numeric instance expressing the first number and the second set of numeric instances including a second numeric instance expressing the first number, the first numeric instance and the second numeric instance are correlated based on the common expression of the first number; determining structured contextual information for the first numeric instance responsive to correlation of the first numeric instance with the second numeric instance, such structured contextual information labeling the first numeric instance and/or content associated with the first numeric instance in the first structured document, such structured contextual information including one or more of a semantic label, a dimension, or an attribute of the first numeric instance and/or the content associated with the first numeric instance; associating content appearing with the second numeric instance in the first unstructured document with the structured contextual information for the first numeric instance in the first structured document, wherein associating the structured contextual information for the first numeric instance with the content appearing with the second numeric instance includes associating textual content appearing with the second numeric instance with the information labeling the first numeric instance; storing the associations to non-transient electronic storage, and analyzing associated structured contextual information for the first numeric instance and content appearing with the second numeric instance to determine one or more trends in the associated contextual information, wherein the analysis comprises a statistical analysis of content appearing with the second numeric instance associated with structured contextual information for the first numeric instance having one or more common features, and wherein the one or more common features comprise one or both of a common dimension and/or a common dimension type. | 7. A computer-implemented method of facilitating the association of semantic labels with content, the method being implemented in a computer system comprising one or more processors configured to execute computer modules, the method comprising: obtaining a matched set of documents, wherein the matched set of documents includes a structured document and a unstructured document having related content; identifying numeric instances present in the structured document and the unstructured document such that a first set of numeric instances present in the structured document are identified and a second set of numeric instances present in the unstructured document are identified; correlating numeric instances in the first set of numeric instances and the second set of numeric instances that express matching numbers such that, responsive to the first set of numeric instances including a first numeric instance expressing the first number and the second set of numeric instances including a second numeric instance expressing the first number, the first numeric instance and the second numeric instance are correlated based on the common expression of the first number; determining structured contextual information for the first numeric instance responsive to correlation of the first numeric instance with the second numeric instance, such structured contextual information labeling the first numeric instance and/or content associated with the first numeric instance in the first structured document, such structured contextual information including one or more of a semantic label, a dimension, or an attribute of the first numeric instance and/or the content associated with the first numeric instance; associating content appearing with the second numeric instance in the first unstructured document with the structured contextual information for the first numeric instance in the first structured document, wherein associating the structured contextual information for the first numeric instance with the content appearing with the second numeric instance includes associating textual content appearing with the second numeric instance with the information labeling the first numeric instance; storing the associations to non-transient electronic storage, and analyzing associated structured contextual information for the first numeric instance and content appearing with the second numeric instance to determine one or more trends in the associated contextual information, wherein the analysis comprises a statistical analysis of content appearing with the second numeric instance associated with structured contextual information for the first numeric instance having one or more common features, and wherein the one or more common features comprise one or both of a common dimension and/or a common dimension type. 10. The method of claim 7 , further comprising: facilitating user entry of content into a unstructured document being authored by a user through a graphical user interface presented to the user; and suggesting semantic labels for content entered to the unstructured document by the user based on the trends determined by the analysis module. | 0.551316 |
9,430,467 | 1 | 17 | 1. A computer translation system comprising A language input device that detects a first language signal and a device location; and An interpretation engine coupled with the language input device and configured to: obtain the first language signal and the device location; activate a language model, including a mobile interference model, based on the first language signal and at least in part based on the device location; update utterance probabilities of the language model based the device location; extract a conceptual interlingua result set from the first language signal according to the updated language model and by applying the mobile interference model; map the conceptual interlingua result set to a second language representation of a second language; and cause an output device to present an output interpretation according to the second language derived from the second language representation. | 1. A computer translation system comprising A language input device that detects a first language signal and a device location; and An interpretation engine coupled with the language input device and configured to: obtain the first language signal and the device location; activate a language model, including a mobile interference model, based on the first language signal and at least in part based on the device location; update utterance probabilities of the language model based the device location; extract a conceptual interlingua result set from the first language signal according to the updated language model and by applying the mobile interference model; map the conceptual interlingua result set to a second language representation of a second language; and cause an output device to present an output interpretation according to the second language derived from the second language representation. 17. The system of claim 1 , wherein the activated language model comprises a reject list of at least some recognition results. | 0.734177 |
8,121,985 | 1 | 2 | 1. A method for versioning learning objects comprising: receiving, from a content repository local to a client, a request to update a master content repository with an updated learning object, the updated learning object including content files; comparing version information for each of the content files from the local content repository to versioning information obtained from an object version file identifying a prior version of the updated learning object, the object version file identifies aspects of the content files included in the prior version of the updated learning object; generating a new object version file associated with updating the master content repository with the updated learning object, the new object version file including pointers to prior versions of content files substantially matching content files from the local content repository; updating the master content repository with new versions of the content files included in the updated learning object independent of updating the master repository with the content files from the local repository that substantially match content files currently stored in the master repository; and in response to at least a portion of the version information of a first of the content files matching a corresponding portion of the versioning information stored in the object version file, storing in the new object version file a pointer to a corresponding content file in the prior version of the learning object stored in the master content repository. | 1. A method for versioning learning objects comprising: receiving, from a content repository local to a client, a request to update a master content repository with an updated learning object, the updated learning object including content files; comparing version information for each of the content files from the local content repository to versioning information obtained from an object version file identifying a prior version of the updated learning object, the object version file identifies aspects of the content files included in the prior version of the updated learning object; generating a new object version file associated with updating the master content repository with the updated learning object, the new object version file including pointers to prior versions of content files substantially matching content files from the local content repository; updating the master content repository with new versions of the content files included in the updated learning object independent of updating the master repository with the content files from the local repository that substantially match content files currently stored in the master repository; and in response to at least a portion of the version information of a first of the content files matching a corresponding portion of the versioning information stored in the object version file, storing in the new object version file a pointer to a corresponding content file in the prior version of the learning object stored in the master content repository. 2. The method of claim 1 , the version information comprising first version information, further comprising: comparing second version information of a second of the content files to the object version file; and in response to at least a portion of the second version information of the second content file not matching a corresponding portion of the versioning information stored in the object version file: storing the second content file in the content repository; and storing a new path and versioning information in the corresponding portion of the new object version file. | 0.5 |
9,292,517 | 1 | 6 | 1. A method for efficiently identifying images, videos, audio files or documents relevant to a user, the method comprising: determining a set of attribute ranking functions, each of which predicts or assigns a relative strength of an attribute in an image, video, audio file or document from a pool of ranked database images, videos, audio files or documents; presenting a set of reference images, videos, audio files or documents from said pool of database images, videos, audio files or documents; receiving a selection of one or more images, videos, audio files or documents from said set of reference images, videos, audio files or documents along with relative attribute feedback pertaining to one or more attributes of said selected one or more images, videos, audio files or documents, wherein said relative attribute feedback comprises feedback regarding a desired degree of a characteristic of an attribute; and revising, by a processor, a system's model of what images, videos, audio files or documents are relevant to said user by updating one or more relevance ranking functions of a set of relevance ranking functions using said relative attribute feedback and said set of attribute ranking functions, wherein said set of relevance ranking functions are used to rank said database images, videos, audio files or documents based on how relevant said database images, videos, audio files or documents are to a user's search. | 1. A method for efficiently identifying images, videos, audio files or documents relevant to a user, the method comprising: determining a set of attribute ranking functions, each of which predicts or assigns a relative strength of an attribute in an image, video, audio file or document from a pool of ranked database images, videos, audio files or documents; presenting a set of reference images, videos, audio files or documents from said pool of database images, videos, audio files or documents; receiving a selection of one or more images, videos, audio files or documents from said set of reference images, videos, audio files or documents along with relative attribute feedback pertaining to one or more attributes of said selected one or more images, videos, audio files or documents, wherein said relative attribute feedback comprises feedback regarding a desired degree of a characteristic of an attribute; and revising, by a processor, a system's model of what images, videos, audio files or documents are relevant to said user by updating one or more relevance ranking functions of a set of relevance ranking functions using said relative attribute feedback and said set of attribute ranking functions, wherein said set of relevance ranking functions are used to rank said database images, videos, audio files or documents based on how relevant said database images, videos, audio files or documents are to a user's search. 6. The method as recited in claim 1 further comprising: receiving one or more keywords, images, audio files, documents or videos to initialize a search for an image, video, audio file or document; and presenting said set of reference images, videos, audio files or documents based on said one or more keywords, images, audio files, documents or videos. | 0.691228 |
7,603,413 | 1 | 4 | 1. A computer program product tangibly embodied in a computer readable medium, the computer program product including instructions that, when executed, facilitate on-line communication among multiple instant messaging identities, the computer program product configured to cause a computer to: detect presence of a target instant messaging identity in a chat room that is accessible over a network of computers to instant messaging identities and who desires interaction with other instant messaging identities who are presently on-line in the chat room; present questions to the target instant messaging identity, at least one of the questions including selectable responses associated with the question; receive, from the target instant messaging identity, responses to the questions; access, from computer-accessible memory, stored responses to the questions, at least one of the stored response having been received from another instant messaging identity and being associated with the other instant messaging identity who provided the response; compare responses received from the target instant messaging identity to the accessed stored responses; identify, based at least in part on results of the comparison, a group of less than all of instant messaging identities who are currently on-line; and use an instant messaging identity representing an instant messaging robot to introduce the identified group of instant messaging identities who are currently on-line to the target instant messaging identity and to introduce the target instant messaging identity to the identified group of instant messaging identities who are currently on-line. | 1. A computer program product tangibly embodied in a computer readable medium, the computer program product including instructions that, when executed, facilitate on-line communication among multiple instant messaging identities, the computer program product configured to cause a computer to: detect presence of a target instant messaging identity in a chat room that is accessible over a network of computers to instant messaging identities and who desires interaction with other instant messaging identities who are presently on-line in the chat room; present questions to the target instant messaging identity, at least one of the questions including selectable responses associated with the question; receive, from the target instant messaging identity, responses to the questions; access, from computer-accessible memory, stored responses to the questions, at least one of the stored response having been received from another instant messaging identity and being associated with the other instant messaging identity who provided the response; compare responses received from the target instant messaging identity to the accessed stored responses; identify, based at least in part on results of the comparison, a group of less than all of instant messaging identities who are currently on-line; and use an instant messaging identity representing an instant messaging robot to introduce the identified group of instant messaging identities who are currently on-line to the target instant messaging identity and to introduce the target instant messaging identity to the identified group of instant messaging identities who are currently on-line. 4. The computer program product of claim 1 further configured to cause the computer, based on detection of a predetermined condition, to use the instant messaging identity representing the instant messaging robot to interact with the target instant messaging identity or one of the instant messaging identities in the identified group of instant messaging identities. | 0.715504 |
9,760,632 | 11 | 14 | 11. A system that hosts a site in which content is addressable using Uniform Resource Locators (URLs), the system comprising: a data repository that stores content of the site, including page content corresponding to specific URLs; a server system that provides network-based access to the site content in response to URL requests from user devices, said server system programmed to implement a set of one or more URL rescue strategies for processing requests for invalid URLs, said set of one or more URL rescue strategies comprising a rescue strategy in which the server system: makes a determination, using a selection list, of whether an invalid URL includes at least one term that is suitable for use as a search term for executing a keyword search of site content, wherein the selection list includes at least one of the following: a whitelist, a blacklist, a list of parameters; and when the determination is positive, (1) executes a keyword search of the content of the site using one or more search terms extracted from the invalid URL and an index of the site content; and (2) returns, to a device that requested the invalid URL, a page containing results of the keyword search. | 11. A system that hosts a site in which content is addressable using Uniform Resource Locators (URLs), the system comprising: a data repository that stores content of the site, including page content corresponding to specific URLs; a server system that provides network-based access to the site content in response to URL requests from user devices, said server system programmed to implement a set of one or more URL rescue strategies for processing requests for invalid URLs, said set of one or more URL rescue strategies comprising a rescue strategy in which the server system: makes a determination, using a selection list, of whether an invalid URL includes at least one term that is suitable for use as a search term for executing a keyword search of site content, wherein the selection list includes at least one of the following: a whitelist, a blacklist, a list of parameters; and when the determination is positive, (1) executes a keyword search of the content of the site using one or more search terms extracted from the invalid URL and an index of the site content; and (2) returns, to a device that requested the invalid URL, a page containing results of the keyword search. 14. The system of claim 11 , wherein the site hosts an electronic catalog, and the keyword search of site content is a catalog search for catalog items associated with the invalid URL. | 0.5 |
7,770,106 | 1 | 5 | 1. A computer implemented method of dynamically generating cascading style sheets for a client application, comprising: providing a first style sheet containing a noncompliant function to a standard style sheet language according to W3C cascading style sheet specification; retrieving the first style sheet at a client from a server; extracting from the first style sheet the noncompliant function; executing the noncompliant function at the client to produce a function output wherein the noncompliant function transforms a noncompliant color value according to W3C cascading style sheet specification that is operating system specific into a standard style sheet language compliant color value according to W3C cascading style sheet specification; generating a second style sheet based on the first style sheet and the function output, wherein the second style sheet is compliant according to W3C cascading style sheet specification; and executing the second style sheet on a standard style sheet language compliant browser according to W3C cascading style sheet specification at the client. | 1. A computer implemented method of dynamically generating cascading style sheets for a client application, comprising: providing a first style sheet containing a noncompliant function to a standard style sheet language according to W3C cascading style sheet specification; retrieving the first style sheet at a client from a server; extracting from the first style sheet the noncompliant function; executing the noncompliant function at the client to produce a function output wherein the noncompliant function transforms a noncompliant color value according to W3C cascading style sheet specification that is operating system specific into a standard style sheet language compliant color value according to W3C cascading style sheet specification; generating a second style sheet based on the first style sheet and the function output, wherein the second style sheet is compliant according to W3C cascading style sheet specification; and executing the second style sheet on a standard style sheet language compliant browser according to W3C cascading style sheet specification at the client. 5. The method of claim 1 , wherein a change to the registry value dynamically changes the second style sheet. | 0.773859 |
8,595,022 | 4 | 8 | 4. The system of claim 1 wherein determining the follow-up action includes determining a timing of the follow-up action. | 4. The system of claim 1 wherein determining the follow-up action includes determining a timing of the follow-up action. 8. The system of claim 4 wherein determining the timing includes determining a time of day to send an additional transmission. | 0.5625 |
8,151,291 | 8 | 11 | 8. An apparatus comprising: an audience measurement engine to collect an audience measurement parameter for a presented program; an indexing engine to create a keyword database based on data descriptive of a plurality of programs; and a closed caption matcher to: generate likelihood values for respective ones of the plurality of programs based on comparison of closed caption text associated with the presented program to the keyword database, the values representing likelihoods that the respective ones of the plurality of programs is the presented programs, the likelihood values being generated without comparing the collected audience measurement data to any reference audience measurement data; select a subset of the plurality of programs based on the likelihood values to form a list of most probable presented programs, the list of most probable presented programs including more than one of and fewer than all of the plurality of programs; order the list of most probable presented programs based on respective ones of the likelihood values; and send the ordered list of most probable programs and the collected audience measurement data to a collection server, the collection server to compare the collected audience measurement data to reference audience measurement data for respective ones of the most probable programs based on the order of the most probable programs in the list to determine an audience presentation statistic, wherein at least one of the audience measurement engine, the indexing engine or the closed caption matcher is implemented in hardware. | 8. An apparatus comprising: an audience measurement engine to collect an audience measurement parameter for a presented program; an indexing engine to create a keyword database based on data descriptive of a plurality of programs; and a closed caption matcher to: generate likelihood values for respective ones of the plurality of programs based on comparison of closed caption text associated with the presented program to the keyword database, the values representing likelihoods that the respective ones of the plurality of programs is the presented programs, the likelihood values being generated without comparing the collected audience measurement data to any reference audience measurement data; select a subset of the plurality of programs based on the likelihood values to form a list of most probable presented programs, the list of most probable presented programs including more than one of and fewer than all of the plurality of programs; order the list of most probable presented programs based on respective ones of the likelihood values; and send the ordered list of most probable programs and the collected audience measurement data to a collection server, the collection server to compare the collected audience measurement data to reference audience measurement data for respective ones of the most probable programs based on the order of the most probable programs in the list to determine an audience presentation statistic, wherein at least one of the audience measurement engine, the indexing engine or the closed caption matcher is implemented in hardware. 11. An apparatus as defined in claim 8 , wherein the closed caption matcher is to generate the likelihood values by counting matches of the closed caption text and the keyword database for respective ones of the plurality of programs. | 0.636646 |
9,830,912 | 10 | 11 | 10. The computing device of claim 9 , wherein if the key inputs includes at least one letter, the multimodal module applies an ambiguity filter when dynamically reducing the vocabulary, the ambiguity filter reflecting ambiguities caused by one or more potential typing errors. | 10. The computing device of claim 9 , wherein if the key inputs includes at least one letter, the multimodal module applies an ambiguity filter when dynamically reducing the vocabulary, the ambiguity filter reflecting ambiguities caused by one or more potential typing errors. 11. The computing device of claim 10 , wherein the at least one letter includes one letter and the one letter is applied as a filter on entries on the vocabulary thereby reducing the vocabulary. | 0.5 |
9,727,926 | 1 | 11 | 1. A method comprising: detecting, by a processing device, a post on a social network, the post being associated with an article, the social network comprising a plurality of entity pages associated with respective entities of a plurality of entities; determining a topic of the article based on content of the article, wherein the determining of the topic of the article comprises: checking the content against a data structure comprising attributes and relationships of one or more entities of the plurality of entities to determine one or more candidate topics; identifying probabilities of the one or more candidate topics being the topic of the article based on the checking; and selecting the topic of the article based on the identified probabilities; and recommending following a related entity page to a user in response to determining that: the topic is associated with the related entity page of the plurality of entity pages; the user accessing the post is not following the related entity page and the related entity page has not been recommended to the user; a respective entity associated with the related entity page has posted in the related entity page within a threshold amount of time; and the related entity page is not age restricted, not blocked, and not identified as spam. | 1. A method comprising: detecting, by a processing device, a post on a social network, the post being associated with an article, the social network comprising a plurality of entity pages associated with respective entities of a plurality of entities; determining a topic of the article based on content of the article, wherein the determining of the topic of the article comprises: checking the content against a data structure comprising attributes and relationships of one or more entities of the plurality of entities to determine one or more candidate topics; identifying probabilities of the one or more candidate topics being the topic of the article based on the checking; and selecting the topic of the article based on the identified probabilities; and recommending following a related entity page to a user in response to determining that: the topic is associated with the related entity page of the plurality of entity pages; the user accessing the post is not following the related entity page and the related entity page has not been recommended to the user; a respective entity associated with the related entity page has posted in the related entity page within a threshold amount of time; and the related entity page is not age restricted, not blocked, and not identified as spam. 11. The method as recited in claim 1 , wherein the plurality of entity pages comprises personal pages and entity pages associated with the respective entities, wherein each entity of the respective entities comprises at least one of a business, a famous person, a famous figure, a commercial figure, an artist, a celebrity, a government group, a brand, a political figure, a community association, or an organization. | 0.5 |
9,864,781 | 10 | 15 | 10. A computer-implemented method, comprising: receiving an input from a single user in a computing device comprising memory, storage, and a display, the received input comprising at least one search term; accessing, over a computer network, at least one of a Network Attached Storage (NAS) and a Direct Attached Storage (DAS); associating the received input with a search result comprising at least one digital item stored in the at least one of the NAS and the DAS based upon: the received input; prior inputs of search terms to the at least one of the NAS and DAS by the single user; prior accesses of the at least one digital item stored in at least one of the NAS and the DAS based upon the prior inputs of the search terms; and prior associations of the search terms of the prior inputs with prior search results comprising the at least one stored digital item, wherein at least some of the search terms of the prior inputs are unrelated to a name, original metadata and content of the at least one stored digital item and have previously led the single user to find and access the at least one digital item; and presenting the at least one digital item on the display of the computing device to the single user. | 10. A computer-implemented method, comprising: receiving an input from a single user in a computing device comprising memory, storage, and a display, the received input comprising at least one search term; accessing, over a computer network, at least one of a Network Attached Storage (NAS) and a Direct Attached Storage (DAS); associating the received input with a search result comprising at least one digital item stored in the at least one of the NAS and the DAS based upon: the received input; prior inputs of search terms to the at least one of the NAS and DAS by the single user; prior accesses of the at least one digital item stored in at least one of the NAS and the DAS based upon the prior inputs of the search terms; and prior associations of the search terms of the prior inputs with prior search results comprising the at least one stored digital item, wherein at least some of the search terms of the prior inputs are unrelated to a name, original metadata and content of the at least one stored digital item and have previously led the single user to find and access the at least one digital item; and presenting the at least one digital item on the display of the computing device to the single user. 15. The computer-implemented method of claim 10 , wherein the at least one stored digital item comprises at least one of a document, a file, a movie, a picture, a website, music and a location. | 0.651625 |
8,041,694 | 35 | 36 | 35. The system of claim 26 in which each vector in the set of vectors represents a corresponding user in a community, and each feature of each vector represents the corresponding user's click-behavior with regard to a content item. | 35. The system of claim 26 in which each vector in the set of vectors represents a corresponding user in a community, and each feature of each vector represents the corresponding user's click-behavior with regard to a content item. 36. The system of claim 35 in which the content item includes at least one of an advertisement or a web page. | 0.5 |
5,559,718 | 6 | 7 | 6. In a system having a processing unit, a verification memory storing a verification function, and a verification database storing a cell reference graph representing a physical integrated circuit design as a hierarchical collection of cells, each cell in the cell reference graph associated with a hierarchical level and comprising one of a reference to a constituent model and a reference to a shape model, each constituent model comprising one from the group of a reference to a shape model and a reference to another cell at a lower hierarchical level, a method for model-based verification of local design rules in the physical integrated circuit design comprising the steps of: selecting a cell for verification; selecting a verification function; identifying each shape model referenced by the selected cell that is unfriendly with another shape model referenced by the selected cell; determining whether the selected cell references a first cell at a lower hierarchical level that is unfriendly with one of said selected cell shape models and a second cell at one of the same hierarchical level or a lower hierarchical level as said first cell; performing a decomposition upon the first cell and the second cell if the selected cell references a first cell at a lower hierarchical level that is unfriendly with a second cell at one of the same hierarchical level and said lower hierarchical level as the first cell; applying said selected verification function to the identified unfriendly shape models to determine a verification result representative of whether a design rule associated with said selected verification function is violated; and storing said verification result in a memory location associated with said selected cell and overriding any previous verification result associated with one of said first cell and said second cell, in said verification memory. | 6. In a system having a processing unit, a verification memory storing a verification function, and a verification database storing a cell reference graph representing a physical integrated circuit design as a hierarchical collection of cells, each cell in the cell reference graph associated with a hierarchical level and comprising one of a reference to a constituent model and a reference to a shape model, each constituent model comprising one from the group of a reference to a shape model and a reference to another cell at a lower hierarchical level, a method for model-based verification of local design rules in the physical integrated circuit design comprising the steps of: selecting a cell for verification; selecting a verification function; identifying each shape model referenced by the selected cell that is unfriendly with another shape model referenced by the selected cell; determining whether the selected cell references a first cell at a lower hierarchical level that is unfriendly with one of said selected cell shape models and a second cell at one of the same hierarchical level or a lower hierarchical level as said first cell; performing a decomposition upon the first cell and the second cell if the selected cell references a first cell at a lower hierarchical level that is unfriendly with a second cell at one of the same hierarchical level and said lower hierarchical level as the first cell; applying said selected verification function to the identified unfriendly shape models to determine a verification result representative of whether a design rule associated with said selected verification function is violated; and storing said verification result in a memory location associated with said selected cell and overriding any previous verification result associated with one of said first cell and said second cell, in said verification memory. 7. The method of claim 6, further comprising the steps of identifying each shape model referenced by the selected cell that is friendly with each other shape model referenced by the selected cell. | 0.763855 |
9,338,226 | 5 | 12 | 5. A computer implemented method executed on a computing device to perform Big Data processing in a system with actor oriented platform, the method comprises: establishing an actor network with a plurality of actors and connecting the actor network to a cloud server in a cloud network; establishing a distributed virtual machine (DVM) network with a plurality of DVMs and connecting the DVM network to the actor network, and wherein the plurality of actors is connected respectively to the plurality of DVMs based on a predefined protocol; scheduling a plurality of resources connected to an actor in the actor network by using a scheduler provided in the system server; changing a connection between the plurality of actors and the plurality of DVMs with a stop and start mechanism provided in the server; and balancing a load on the actor with a cloud balancer provided in the server and wherein the cloud balancer is connected to the actor in the actor network, and wherein executing the cloud balancer application to stop an operation of a process agent in a first DVM and to start an operation of a process agent in a second DVM, when the process agent in the first DVM consumes extra resources, and wherein the cloud balancer application is executed to provide a first command to the first DVM to stop the operation of the process agent in the first DVM and a second command to the second DVM to start the operation of the second DVM; and adding three fundamental operations over actor systems using a system server to manage schedules, to provide resources and to enable messaging for an asynchronous set of actors in the actor network, wherein the three fundamental operations includes Perform, Transform and Balance (PTB) operations, and wherein the actors are organized in Actor Sets to realize a protocol, application or data operators that are connected to other actors based on a process composition defined by the PTB operations, and wherein the Perform operation is added to realizes a continuous message routing service, and wherein the Transfer operation is added to define a piped topology and interconnection of two actors in the actor system to provide a continuous service, and wherein the Balance operation is added to define a separation paradigm of service results, and wherein the server uses functional programming and scala to realize perform, transform and balance operations over actor systems. | 5. A computer implemented method executed on a computing device to perform Big Data processing in a system with actor oriented platform, the method comprises: establishing an actor network with a plurality of actors and connecting the actor network to a cloud server in a cloud network; establishing a distributed virtual machine (DVM) network with a plurality of DVMs and connecting the DVM network to the actor network, and wherein the plurality of actors is connected respectively to the plurality of DVMs based on a predefined protocol; scheduling a plurality of resources connected to an actor in the actor network by using a scheduler provided in the system server; changing a connection between the plurality of actors and the plurality of DVMs with a stop and start mechanism provided in the server; and balancing a load on the actor with a cloud balancer provided in the server and wherein the cloud balancer is connected to the actor in the actor network, and wherein executing the cloud balancer application to stop an operation of a process agent in a first DVM and to start an operation of a process agent in a second DVM, when the process agent in the first DVM consumes extra resources, and wherein the cloud balancer application is executed to provide a first command to the first DVM to stop the operation of the process agent in the first DVM and a second command to the second DVM to start the operation of the second DVM; and adding three fundamental operations over actor systems using a system server to manage schedules, to provide resources and to enable messaging for an asynchronous set of actors in the actor network, wherein the three fundamental operations includes Perform, Transform and Balance (PTB) operations, and wherein the actors are organized in Actor Sets to realize a protocol, application or data operators that are connected to other actors based on a process composition defined by the PTB operations, and wherein the Perform operation is added to realizes a continuous message routing service, and wherein the Transfer operation is added to define a piped topology and interconnection of two actors in the actor system to provide a continuous service, and wherein the Balance operation is added to define a separation paradigm of service results, and wherein the server uses functional programming and scala to realize perform, transform and balance operations over actor systems. 12. The method of claim 5 further comprises creating a platform instance within existing DVMs to balance the load and increase a utilization factor. | 0.736655 |
9,317,605 | 1 | 31 | 1. A method performed by data processing apparatus, the method comprising: receiving one or more characters from a user device; obtaining an auto-completion corresponding to the one or more characters; obtaining data identifying multiple corpora and a respective corpus score associated with the auto-completion for each identified corpus; selecting a first corpus of the multiple corpora whose corpus score satisfies a threshold and a universal search corpus that includes two or more of the multiple corpora and excludes the first corpus; and providing, for display in a drop-down menu and to the user device, a first drop down entry that indicates a first instance of the auto-completion and that includes an icon representing the first corpus adjacent to the first instance of the auto-completion, and a second drop down entry that indicates a second instance of the auto-completion that corresponds to the universal search corpus and that excludes the icon representing the first corpus, wherein the universal search corpus includes two or more of a web search corpus, a places search corpus, a literature search corpus, a patent search corpus, an images search corpus, a videos search corpus, a news search corpus, a shopping search corpus, and a blocs search corpus. | 1. A method performed by data processing apparatus, the method comprising: receiving one or more characters from a user device; obtaining an auto-completion corresponding to the one or more characters; obtaining data identifying multiple corpora and a respective corpus score associated with the auto-completion for each identified corpus; selecting a first corpus of the multiple corpora whose corpus score satisfies a threshold and a universal search corpus that includes two or more of the multiple corpora and excludes the first corpus; and providing, for display in a drop-down menu and to the user device, a first drop down entry that indicates a first instance of the auto-completion and that includes an icon representing the first corpus adjacent to the first instance of the auto-completion, and a second drop down entry that indicates a second instance of the auto-completion that corresponds to the universal search corpus and that excludes the icon representing the first corpus, wherein the universal search corpus includes two or more of a web search corpus, a places search corpus, a literature search corpus, a patent search corpus, an images search corpus, a videos search corpus, a news search corpus, a shopping search corpus, and a blocs search corpus. 31. The method of claim 1 , wherein the universal search corpus includes the web search corpus, the places search corpus, the literature search corpus, the patent search corpus, the images search corpus, the videos search corpus, the news search corpus, the shopping search corpus, and the blocs search corpus. | 0.799483 |
8,214,733 | 1 | 5 | 1. A system to process at least one document image comprising a plurality of text rows and a plurality of characters, each text row having at least one character, the system comprising: at least one processor; and a plurality of modules to execute on the at least one processor, the modules comprising: a character block creator to create character blocks for the characters in the text rows and to determine positions of alignments of the character blocks; a classification system to determine columns for the alignments of the character blocks at the positions of the alignments, each text row having a physical structure defined by the columns of the alignments of the character blocks in that text row, and to determine one or more classes for the text rows based on the physical structures of the text rows as defined by the columns of the character blocks in each text row, each class comprising one or more particular text rows having a similar physical structure; and a pattern matching system to: determine a corresponding binary average row for each of the one or more classes, wherein each corresponding binary average row comprises binary values specifying whether a particular column position in the corresponding binary average row comprises a character block or a white space; determine an average row vector for each class based on the corresponding binary average row, wherein each average row vector correspond to one particular class; interpolate the average row vector for the each class to generate corresponding interpolation vector data; determine a correlation value between the corresponding interpolation vector data for at least two selected classes of text rows; compare the correlation value to a threshold correlation value; group the at least two selected classes of text rows into a first combined class when the correlation value is greater than the threshold correlation value; determine a distance between the corresponding binary average rows for the at least two selected classes when the correlation value is less than the threshold correlation value; compare the distance to a threshold distance; and group the at least two selected classes of text rows into the first combined class when the distance is less than the threshold distance. | 1. A system to process at least one document image comprising a plurality of text rows and a plurality of characters, each text row having at least one character, the system comprising: at least one processor; and a plurality of modules to execute on the at least one processor, the modules comprising: a character block creator to create character blocks for the characters in the text rows and to determine positions of alignments of the character blocks; a classification system to determine columns for the alignments of the character blocks at the positions of the alignments, each text row having a physical structure defined by the columns of the alignments of the character blocks in that text row, and to determine one or more classes for the text rows based on the physical structures of the text rows as defined by the columns of the character blocks in each text row, each class comprising one or more particular text rows having a similar physical structure; and a pattern matching system to: determine a corresponding binary average row for each of the one or more classes, wherein each corresponding binary average row comprises binary values specifying whether a particular column position in the corresponding binary average row comprises a character block or a white space; determine an average row vector for each class based on the corresponding binary average row, wherein each average row vector correspond to one particular class; interpolate the average row vector for the each class to generate corresponding interpolation vector data; determine a correlation value between the corresponding interpolation vector data for at least two selected classes of text rows; compare the correlation value to a threshold correlation value; group the at least two selected classes of text rows into a first combined class when the correlation value is greater than the threshold correlation value; determine a distance between the corresponding binary average rows for the at least two selected classes when the correlation value is less than the threshold correlation value; compare the distance to a threshold distance; and group the at least two selected classes of text rows into the first combined class when the distance is less than the threshold distance. 5. The system of claim 1 wherein the distance comprises a Hamming distance. | 0.95985 |
9,275,115 | 1 | 5 | 1. A method, in a data processing system comprising a processor and a memory, for dynamically selecting a subset of candidate answer sources for use by a question and answer (QA) system implemented by the data processing system, the method comprising: receiving, by the QA system implemented by the data processing system, an input question for which an answer is sought; generating, by the QA system, one or more queries based on the input question; selecting, by the QA system, a subset of candidate answer sources, from a group of candidate answer sources, based on a ranked listing of candidate answer sources, wherein the ranked listing of candidate answer sources is generated based on characteristics of previous candidate answers generated by the QA system for previously input questions; applying, by the QA system, the one or more queries to the subset of candidate answer sources; generating, by the QA system, at least one candidate answer for the input question based on results of applying the one or more queries to the subset of candidate answer sources; logging, for the previously input questions, in entries of at least one log data structure, the characteristics of previous candidate answers generated by the QA system, wherein the characteristics of each previous candidate answer comprises an identification of a candidate answer source from which the candidate answer was generated and a confidence score associated with the candidate answer; and generating the ranked listing of candidate answer sources based on the entries in the at least one log data structure. | 1. A method, in a data processing system comprising a processor and a memory, for dynamically selecting a subset of candidate answer sources for use by a question and answer (QA) system implemented by the data processing system, the method comprising: receiving, by the QA system implemented by the data processing system, an input question for which an answer is sought; generating, by the QA system, one or more queries based on the input question; selecting, by the QA system, a subset of candidate answer sources, from a group of candidate answer sources, based on a ranked listing of candidate answer sources, wherein the ranked listing of candidate answer sources is generated based on characteristics of previous candidate answers generated by the QA system for previously input questions; applying, by the QA system, the one or more queries to the subset of candidate answer sources; generating, by the QA system, at least one candidate answer for the input question based on results of applying the one or more queries to the subset of candidate answer sources; logging, for the previously input questions, in entries of at least one log data structure, the characteristics of previous candidate answers generated by the QA system, wherein the characteristics of each previous candidate answer comprises an identification of a candidate answer source from which the candidate answer was generated and a confidence score associated with the candidate answer; and generating the ranked listing of candidate answer sources based on the entries in the at least one log data structure. 5. The method of claim 1 , wherein the characteristics of each previous candidate answer further comprises an identifier indicating whether or not the candidate answer was selected as a final answer for a previously input question. | 0.854167 |
8,583,988 | 13 | 17 | 13. The apparatus of claim 12 , Wherein the I/O operation is a transport mode operation, and obtaining information includes obtaining a transport command word (TCW) at the channel subsystem, the TCW including a transport command control block (TCCB) address field including an address of a TCCB, the TCCB including a plurality of device command words (DCW) that each includes an I/O command. | 13. The apparatus of claim 12 , Wherein the I/O operation is a transport mode operation, and obtaining information includes obtaining a transport command word (TCW) at the channel subsystem, the TCW including a transport command control block (TCCB) address field including an address of a TCCB, the TCCB including a plurality of device command words (DCW) that each includes an I/O command. 17. The apparatus of claim 13 , wherein the data transfer request includes the input data to be stored in the host memory from a Read Transport Data IU, storing the at least one received data check word includes storing the at least one received data check word from the Read Transport Data IU, and performing the check includes generating an additional data check word using the Data Check Word Seed field of a Transport Read Data ACW and a length of the input data received via the data transfer request, and comparing the at least one received data check word to the additional data check word. | 0.5 |
8,712,979 | 17 | 19 | 17. A configuration management database system, comprising: a configuration management database server; a configuration management database, coupled to the configuration management database server; a reconciliation engine, coupled to the configuration management database server, and configured to match a plurality of configuration items provided to the configuration management database system from a plurality of source datasets with configuration items contained in the configuration management database using identification rules, the identification rules being without automatically modifiable acceptance criteria; and a statistical rules engine, coupled to the configuration management database server and configured to apply a statistical rule to match a first configuration item of the plurality of configuration items with a second configuration item contained in the configuration management database, the matching being successful when a threshold value for the statistical rule exceeds a default acceptance value after the rule has been successfully applied, the threshold value being automatically modified responsive to application outcomes of the rule, the application of the rule occurring when the first configuration item was not matched with any configuration items contained in the configuration management database using the identification rules. | 17. A configuration management database system, comprising: a configuration management database server; a configuration management database, coupled to the configuration management database server; a reconciliation engine, coupled to the configuration management database server, and configured to match a plurality of configuration items provided to the configuration management database system from a plurality of source datasets with configuration items contained in the configuration management database using identification rules, the identification rules being without automatically modifiable acceptance criteria; and a statistical rules engine, coupled to the configuration management database server and configured to apply a statistical rule to match a first configuration item of the plurality of configuration items with a second configuration item contained in the configuration management database, the matching being successful when a threshold value for the statistical rule exceeds a default acceptance value after the rule has been successfully applied, the threshold value being automatically modified responsive to application outcomes of the rule, the application of the rule occurring when the first configuration item was not matched with any configuration items contained in the configuration management database using the identification rules. 19. The system of claim 17 , wherein the reconciliation engine is configured to mark configuration items of the plurality of configuration items for statistical identification or manual identification when the configuration items are not matched with any configuration items in the configuration management database using the identification rules, and wherein the first configuration item is marked for statistical identification. | 0.5 |
8,180,837 | 6 | 8 | 6. A computer-implemented method comprising: determining, by an anti-spam module, an approximate display location of one or more embedded images within an electronic mail (email) message; identifying, by the anti-spam module, existence of one or more abnormal factors associated with the one or more embedded images; quantifying, by the anti-spam module, a number of text strings that are included in the embedded image by analyzing one or more blocks of the binarized representation with a text string measurement algorithm; classifying, by the anti-spam module, the email message as spam or clean based on the approximate display location, the existence of one or more abnormal factors and the number of text strings; wherein the anti-spam module is implemented in one or more processors and one or more non-transitory computer-readable storage media of one or more computer systems, the one or more non-transitory computer-readable storage media having instructions tangibly embodied therein representing the anti-spam module that are executable by the one or more processors; and wherein the one or more blocks comprise M×N virtual blocks and wherein the text string measurement algorithm employs equations having a general form as follows: T = ∑ m = 0 M ∑ n = 0 N T m , n subject to : T m , n = ∑ y t = y 0 m y max m ∑ y b = y t + 1 y max m T y t , y b m , n y 0 m = y max ∂ 0 ( m - 1 ) , y max m = y 0 m + ∂ 0 T y t , y b m , n = { 1 ∂ 1 > ∑ i = y t y b CB i n > ∂ 2 ∑ k = x 0 n x max n B k , y b + 1 < ∂ 3 , x 0 n = x max ∂ 0 ( n - 1 ) , x max n = x 0 n + ∂ 0 0 Otherwise CB i n = { 1 ∂ 4 > ∑ k = x 0 n x max n B k , i > ∂ 5 Max ( ∑ k = x w x w + ∂ 6 B k , i ) < ∂ 7 , x 0 n ≤ x w ≤ x max n 0 Otherwise where, ∂ 0 . . . ∂ 7 are adjustable parameters; T is the number of text strings; T y t ,y b m,n is a likelihood that a row between y t and y b in virtual block [m,n] represents text; CB i n is a likelihood that a line[i] is a part of text; and B k,i is a value of pixel[k,i] in the binary representation. | 6. A computer-implemented method comprising: determining, by an anti-spam module, an approximate display location of one or more embedded images within an electronic mail (email) message; identifying, by the anti-spam module, existence of one or more abnormal factors associated with the one or more embedded images; quantifying, by the anti-spam module, a number of text strings that are included in the embedded image by analyzing one or more blocks of the binarized representation with a text string measurement algorithm; classifying, by the anti-spam module, the email message as spam or clean based on the approximate display location, the existence of one or more abnormal factors and the number of text strings; wherein the anti-spam module is implemented in one or more processors and one or more non-transitory computer-readable storage media of one or more computer systems, the one or more non-transitory computer-readable storage media having instructions tangibly embodied therein representing the anti-spam module that are executable by the one or more processors; and wherein the one or more blocks comprise M×N virtual blocks and wherein the text string measurement algorithm employs equations having a general form as follows: T = ∑ m = 0 M ∑ n = 0 N T m , n subject to : T m , n = ∑ y t = y 0 m y max m ∑ y b = y t + 1 y max m T y t , y b m , n y 0 m = y max ∂ 0 ( m - 1 ) , y max m = y 0 m + ∂ 0 T y t , y b m , n = { 1 ∂ 1 > ∑ i = y t y b CB i n > ∂ 2 ∑ k = x 0 n x max n B k , y b + 1 < ∂ 3 , x 0 n = x max ∂ 0 ( n - 1 ) , x max n = x 0 n + ∂ 0 0 Otherwise CB i n = { 1 ∂ 4 > ∑ k = x 0 n x max n B k , i > ∂ 5 Max ( ∑ k = x w x w + ∂ 6 B k , i ) < ∂ 7 , x 0 n ≤ x w ≤ x max n 0 Otherwise where, ∂ 0 . . . ∂ 7 are adjustable parameters; T is the number of text strings; T y t ,y b m,n is a likelihood that a row between y t and y b in virtual block [m,n] represents text; CB i n is a likelihood that a line[i] is a part of text; and B k,i is a value of pixel[k,i] in the binary representation. 8. The method of claim 6 , wherein the email message comprises a HyperText Markup Language (HTML) formatted email message or an eXtensible Markup Language (XML) formatted email message. | 0.839965 |
9,754,040 | 1 | 13 | 1. A computer-implemented method comprising: receiving, from a first client device, an identification of user group configuration settings for a user group comprising a plurality of users, the user group configuration settings identifying (i) a first plurality of content items available to be retrieved from a first plurality of remote content provider servers and to be provided in web pages of the user group for use by users in the user group, and (ii) the plurality of users in the user group; receiving, from a second client device that is different than the first client device, data identifying personal configuration settings that personalize a web page of the user group for a first user, the personal configuration settings for the first user specifying a second plurality of content items selected by the first user to be retrieved from a second plurality of remote content provider servers and to be included in the web page of the user group personalized for the first user; receiving, from the second client device, a request that identifies the web page of the user group, wherein the request includes a universal resource locator (URL) identifying the user group; in response to receiving the request that identifies the web page of the user group, determining, at least partly based on parsing the URL, that (i) the web page requested is for the user group, (ii) a user of the second client device is in the user group that includes the web page identified by the request, and (iii) the data identifying personal configuration settings that personalize the web page of the user group to the first user was previously received; in response to determining that (i) the web page requested is for the user group, (ii) the user of the second client device is in the user group that includes the web page identified by the request, and (iii) the data identifying personal configuration settings that personalize the web page of the user group to the first user was previously received, generating a first personal web page in accordance with both the user group configuration settings for the user group that identify (i) the first plurality of content items available to be retrieved from the first plurality of remote content provider servers and to be provided in web pages of the user group for use by users in the user group, and (ii) the plurality of users in the user group, and the personal configuration settings that personalize the web page of the user group to the first user, the first personal web page including: one or more visualizations of one or more of a first plurality of content modules that provide the first plurality of content items from the first plurality of remote content provider servers; and one or more visualizations of a second plurality of content modules that provide the second plurality of content items from the second plurality of remote content provider servers; and sending the first personal web page over a network to the second client device. | 1. A computer-implemented method comprising: receiving, from a first client device, an identification of user group configuration settings for a user group comprising a plurality of users, the user group configuration settings identifying (i) a first plurality of content items available to be retrieved from a first plurality of remote content provider servers and to be provided in web pages of the user group for use by users in the user group, and (ii) the plurality of users in the user group; receiving, from a second client device that is different than the first client device, data identifying personal configuration settings that personalize a web page of the user group for a first user, the personal configuration settings for the first user specifying a second plurality of content items selected by the first user to be retrieved from a second plurality of remote content provider servers and to be included in the web page of the user group personalized for the first user; receiving, from the second client device, a request that identifies the web page of the user group, wherein the request includes a universal resource locator (URL) identifying the user group; in response to receiving the request that identifies the web page of the user group, determining, at least partly based on parsing the URL, that (i) the web page requested is for the user group, (ii) a user of the second client device is in the user group that includes the web page identified by the request, and (iii) the data identifying personal configuration settings that personalize the web page of the user group to the first user was previously received; in response to determining that (i) the web page requested is for the user group, (ii) the user of the second client device is in the user group that includes the web page identified by the request, and (iii) the data identifying personal configuration settings that personalize the web page of the user group to the first user was previously received, generating a first personal web page in accordance with both the user group configuration settings for the user group that identify (i) the first plurality of content items available to be retrieved from the first plurality of remote content provider servers and to be provided in web pages of the user group for use by users in the user group, and (ii) the plurality of users in the user group, and the personal configuration settings that personalize the web page of the user group to the first user, the first personal web page including: one or more visualizations of one or more of a first plurality of content modules that provide the first plurality of content items from the first plurality of remote content provider servers; and one or more visualizations of a second plurality of content modules that provide the second plurality of content items from the second plurality of remote content provider servers; and sending the first personal web page over a network to the second client device. 13. The method of claim 1 , wherein receiving an identification of user group configuration settings comprises using a configuration server to store the identification of user group configuration settings, the configuration server including: a first layer to provide a user interface to a client and receive data from the user interface; a second layer to verify the data received by the first layer from the user interface and to convert the verified data into a predetermined format; a third layer to receive the converted data from the second layer and provide instructions to a fourth layer; and a fourth layer to upload the converted data to a data storage system based on interactions with the third layer. | 0.5 |
7,953,590 | 13 | 16 | 13. A translation system, comprising: a plurality of input channels where each input channel is assigned an expected language and is configured to receive speech from a single speaker; a memory configured to record speech from each channel to be translated and to store one or more training models and rules for translating speech received from the input channels; an automatic speech recognition engine and machine translator configured to concurrently translate speech for each channel separately and independently from each of any other channel from an input language to another language; and a language detector configured to monitor each of the input channels to determine whether speech received by a particular input channel is in a language that matches the expected language assigned to the particular input channel. | 13. A translation system, comprising: a plurality of input channels where each input channel is assigned an expected language and is configured to receive speech from a single speaker; a memory configured to record speech from each channel to be translated and to store one or more training models and rules for translating speech received from the input channels; an automatic speech recognition engine and machine translator configured to concurrently translate speech for each channel separately and independently from each of any other channel from an input language to another language; and a language detector configured to monitor each of the input channels to determine whether speech received by a particular input channel is in a language that matches the expected language assigned to the particular input channel. 16. The system as recited in claim 13 , wherein the language detector is further configured to alert a user that an unexpected language is being spoken or that an incorrect channel is being employed if it is determined that speech received by an input channel is in a language other than the expected language assigned to the input channel. | 0.5 |
7,509,330 | 30 | 32 | 30. The method of claim 24 , wherein observations on the database messages based at least in part on the query-language statements extracted at the decoding layer comprise times to complete responses to queries from clients. | 30. The method of claim 24 , wherein observations on the database messages based at least in part on the query-language statements extracted at the decoding layer comprise times to complete responses to queries from clients. 32. The method of claim 30 , wherein observations on the database messages based at least in part on the query-language statements extracted at the decoding layer comprise one or more average times to complete responses to queries from clients. | 0.593333 |
8,587,613 | 4 | 5 | 4. The computer program product of claim 3 , wherein the master library includes approved variations text. | 4. The computer program product of claim 3 , wherein the master library includes approved variations text. 5. The computer program product of claim 4 , wherein the portions of the document which have been already reviewed include text that corresponds to a predetermined category. | 0.5 |
8,549,395 | 10 | 12 | 10. A non-transitory computer-readable medium encoded with a computer-implemented program for transforming a webpage, the program comprising: instructions for loading the webpage containing an embedded object in a browser; instructions for capturing a portable text representation of an image of said embedded object by invoking said embedded object to rasterize itself into said portable text representation; instructions for streaming said portable text representation to a web server; instructions for converting said portable text representation into a native image representation on said web server; instructions for storing said native image representation on said web server; instructions for generating a URL identifying a storage location of said native image representation; and instructions for retrieving said native image representation from said web server using the URL and replacing said embedded object with said native image representation stored on said web server. | 10. A non-transitory computer-readable medium encoded with a computer-implemented program for transforming a webpage, the program comprising: instructions for loading the webpage containing an embedded object in a browser; instructions for capturing a portable text representation of an image of said embedded object by invoking said embedded object to rasterize itself into said portable text representation; instructions for streaming said portable text representation to a web server; instructions for converting said portable text representation into a native image representation on said web server; instructions for storing said native image representation on said web server; instructions for generating a URL identifying a storage location of said native image representation; and instructions for retrieving said native image representation from said web server using the URL and replacing said embedded object with said native image representation stored on said web server. 12. The non-transitory computer-readable medium of claim 10 , wherein the webpage containing an embedded object is loaded into an in-memory browser document object model. | 0.727564 |
9,910,853 | 1 | 2 | 1. A method implemented on a computer having at least one processor, storage, and a communication platform for providing translated web content, comprising the steps of: receiving a request, via a public network connection, from an online user for content in a second language translated from content in a first language; obtaining in response to the request, via a public network connection, the content in the first language from an Internet source that hosts the content in the first language; dividing the obtained content in the first language into a plurality of translatable components; determining, with respect to each of the plurality of translatable components, whether there is a corresponding translated component previously stored; determining whether a number of translatable components that have corresponding translated components exceeds a threshold; and sending the obtained content in the first language to the online user as a response to the request when the number does not exceed the threshold. | 1. A method implemented on a computer having at least one processor, storage, and a communication platform for providing translated web content, comprising the steps of: receiving a request, via a public network connection, from an online user for content in a second language translated from content in a first language; obtaining in response to the request, via a public network connection, the content in the first language from an Internet source that hosts the content in the first language; dividing the obtained content in the first language into a plurality of translatable components; determining, with respect to each of the plurality of translatable components, whether there is a corresponding translated component previously stored; determining whether a number of translatable components that have corresponding translated components exceeds a threshold; and sending the obtained content in the first language to the online user as a response to the request when the number does not exceed the threshold. 2. The method of claim 1 , further comprising: when the number exceeds the threshold, generating the content in the second language by replacing each of the number of translatable components with a corresponding translated component, and sending the content in the second language generated in the generating step to the online user as a response to the request. | 0.5 |
9,158,507 | 23 | 26 | 23. A method, comprising: mapping a document in a first domain to an abstract language representation of the document; receiving at least two notational choices, each notational choice specifying how at least one type of item in the document is to be formatted when displayed; mapping the abstract language representation to a concrete language representation of the document based on the received at least two notational choices; determining a layout of the concrete language representation; and for each of a plurality of elements of the concrete language representation of the document, mapping the element of the concrete language representation to an element of a graphical language representation of the document based on the determined layout, wherein the receiving at least two notational choices, each notational choice specifying how at least one type of item is to be formatted when displayed, comprises receiving a first notational choice, the first notational choice specifying how a first type of items are to be formatted when displayed, wherein the first type of items are trees so that the first notational choice specifies how trees are to be formatted when displayed, wherein the document includes at least one tree. | 23. A method, comprising: mapping a document in a first domain to an abstract language representation of the document; receiving at least two notational choices, each notational choice specifying how at least one type of item in the document is to be formatted when displayed; mapping the abstract language representation to a concrete language representation of the document based on the received at least two notational choices; determining a layout of the concrete language representation; and for each of a plurality of elements of the concrete language representation of the document, mapping the element of the concrete language representation to an element of a graphical language representation of the document based on the determined layout, wherein the receiving at least two notational choices, each notational choice specifying how at least one type of item is to be formatted when displayed, comprises receiving a first notational choice, the first notational choice specifying how a first type of items are to be formatted when displayed, wherein the first type of items are trees so that the first notational choice specifies how trees are to be formatted when displayed, wherein the document includes at least one tree. 26. The method of claim 23 wherein the document contains source code. | 0.862 |
8,848,897 | 10 | 11 | 10. A method comprising: receiving, by a processor and from a user device, a request, the request being received during a multimedia session between a device associated with the processor and the user device; identifying, by the processor and based on the received request, first information; determining, by the processor, that the first information is insufficient to identify a multimedia content item; requesting, by the processor and based on determining that the first information is insufficient to identify the multimedia content item, second information, to narrow the request, from the user device; receiving, from the user device and via the multimedia session, the second information, the second information including one or more of an image, a video, or a data file, a type of the second information being different from a type of the first information, and the second information being different from the multimedia content item; identifying, by the processor and based on the first information and the second information, the multimedia content item from two or more multimedia content items; and providing, by the processor, the multimedia content item to the user device. | 10. A method comprising: receiving, by a processor and from a user device, a request, the request being received during a multimedia session between a device associated with the processor and the user device; identifying, by the processor and based on the received request, first information; determining, by the processor, that the first information is insufficient to identify a multimedia content item; requesting, by the processor and based on determining that the first information is insufficient to identify the multimedia content item, second information, to narrow the request, from the user device; receiving, from the user device and via the multimedia session, the second information, the second information including one or more of an image, a video, or a data file, a type of the second information being different from a type of the first information, and the second information being different from the multimedia content item; identifying, by the processor and based on the first information and the second information, the multimedia content item from two or more multimedia content items; and providing, by the processor, the multimedia content item to the user device. 11. The method of claim 10 , where the request is a first request, and where the method further comprises: receiving, from the user device, a second request to transfer the multimedia session to a live agent, and modifying, based on receiving the second request, the multimedia session to connect the user device with a call center device associated with the live agent to create a transferred multimedia session. | 0.732166 |
8,010,340 | 17 | 18 | 17. A method of providing national language support for an application, said method being performed by execution of software in a data processing system, said method comprising: generating a multi-language property file by processing each individual property file of a plurality of individual property files, wherein each individual property file comprises a file name and further comprises file content comprising a key value and a translated text, wherein the key value is a member of a class, wherein said processing each individual property file comprises generating a translation and recording the generated translation in the multi-language property file, wherein the generated translation comprises the translated text and a key comprising a keyword appended to the key value, and wherein the translated text of each said translation is formatted in a character set that is displayable in a natural font of a language represented by the translated text; and storing the generated multi-language property file in a memory of the data processing system. | 17. A method of providing national language support for an application, said method being performed by execution of software in a data processing system, said method comprising: generating a multi-language property file by processing each individual property file of a plurality of individual property files, wherein each individual property file comprises a file name and further comprises file content comprising a key value and a translated text, wherein the key value is a member of a class, wherein said processing each individual property file comprises generating a translation and recording the generated translation in the multi-language property file, wherein the generated translation comprises the translated text and a key comprising a keyword appended to the key value, and wherein the translated text of each said translation is formatted in a character set that is displayable in a natural font of a language represented by the translated text; and storing the generated multi-language property file in a memory of the data processing system. 18. The method of claim 17 , wherein the translated text of each said translation is formatted in a character set that is displayable in a natural font of a language represented by the translated text. | 0.909785 |
8,756,698 | 10 | 14 | 10. A system for vulnerability risk management of an enterprise computing system, comprising: a cloud computing system employing a software-as-a-service multi-tenant architecture, having a hardware processor and a memory configured to instantiate a vulnerability risk management module and an expert system coupled to the vulnerability risk management module, the vulnerability risk management module configured to: receive from an end user a type of vulnerability; determine a list of potential vulnerabilities of the enterprise computing system based on a non-intrusive scan of the enterprise computing system for the received type of vulnerability, wherein the scan includes a scan of an asset of the enterprise computing system associated with the type of vulnerability, and wherein the scan is based on a preference of the end user regarding a specified date and time to conduct the scan; transmit the list of potential vulnerabilities to the expert system; receive from the expert system a refined list of potential vulnerabilities; and report the refined list of vulnerabilities to the end user. | 10. A system for vulnerability risk management of an enterprise computing system, comprising: a cloud computing system employing a software-as-a-service multi-tenant architecture, having a hardware processor and a memory configured to instantiate a vulnerability risk management module and an expert system coupled to the vulnerability risk management module, the vulnerability risk management module configured to: receive from an end user a type of vulnerability; determine a list of potential vulnerabilities of the enterprise computing system based on a non-intrusive scan of the enterprise computing system for the received type of vulnerability, wherein the scan includes a scan of an asset of the enterprise computing system associated with the type of vulnerability, and wherein the scan is based on a preference of the end user regarding a specified date and time to conduct the scan; transmit the list of potential vulnerabilities to the expert system; receive from the expert system a refined list of potential vulnerabilities; and report the refined list of vulnerabilities to the end user. 14. The system of claim 10 , wherein the software-as-a-service multi-tenant architecture includes a dual factor log-in to prevent sharing of a database between the enterprise computing system and another computer computing system. | 0.547244 |
9,930,085 | 1 | 5 | 1. A method for configuring an audio channel with a processor, the method comprising: generating a confidence metric indicative of at least one control cue in a telecommunication audio feed, wherein generating the confidence metric comprises: analyzing the at least one control cue to determine a cue type; assigning a confidence metric value for the at least one control cue based on the cue type, wherein the cue type comprises both explicit speech to perform an action and muffled voice having a lower amplitude than the average amplitude of other portions of the audio feed; comparing the confidence metric value to a predetermined threshold value associated with the cue type; updating a context history with the cue type and the confidence metric value; and configuring an input of the audio channel based on the confidence metric and the context history. | 1. A method for configuring an audio channel with a processor, the method comprising: generating a confidence metric indicative of at least one control cue in a telecommunication audio feed, wherein generating the confidence metric comprises: analyzing the at least one control cue to determine a cue type; assigning a confidence metric value for the at least one control cue based on the cue type, wherein the cue type comprises both explicit speech to perform an action and muffled voice having a lower amplitude than the average amplitude of other portions of the audio feed; comparing the confidence metric value to a predetermined threshold value associated with the cue type; updating a context history with the cue type and the confidence metric value; and configuring an input of the audio channel based on the confidence metric and the context history. 5. The method of claim 1 , wherein the cue type is a predetermined time period of high or low volume, wherein the volume is an amplitude measured with respect to an average amplitude. | 0.673214 |
7,860,872 | 3 | 4 | 3. The web-based media analysis system recited in claim 1 , wherein said toning engine further weighs tones of authors of said at least one media content for establishing said most probable tone level of said each of said at least one media content, wherein said tones of said authors of said at least one media content are established by retrieving, from said at least one database, tone level probabilities for the author of said each of said at least one media content, and determining most probable tone levels of said each of said at least one media content based on said tone level probabilities of said authors. | 3. The web-based media analysis system recited in claim 1 , wherein said toning engine further weighs tones of authors of said at least one media content for establishing said most probable tone level of said each of said at least one media content, wherein said tones of said authors of said at least one media content are established by retrieving, from said at least one database, tone level probabilities for the author of said each of said at least one media content, and determining most probable tone levels of said each of said at least one media content based on said tone level probabilities of said authors. 4. The web-based media analysis system recited in claim 3 , wherein said authors are individuals or organizations. | 0.5 |
8,059,715 | 2 | 6 | 2. A video encoding method according to claim 1 , characterized in that, when using said MP algorithm, several dictionaries are available at the encoding side, a bitstream syntax being defined for placing at a predetermined level flags provided to indicate which dictionary should be used. | 2. A video encoding method according to claim 1 , characterized in that, when using said MP algorithm, several dictionaries are available at the encoding side, a bitstream syntax being defined for placing at a predetermined level flags provided to indicate which dictionary should be used. 6. A method according to claim 2 , characterized in that said flags are placed at the picture level. | 0.514563 |
7,647,554 | 4 | 5 | 4. The method of claim 2 , wherein said selected words are chosen based on a history the user's past letter substitutions. | 4. The method of claim 2 , wherein said selected words are chosen based on a history the user's past letter substitutions. 5. The method of claim 4 , wherein said history includes the user's letter swaps, and wherein the replacement list includes alternative words based on said history of letter swaps. | 0.5 |
8,996,429 | 2 | 3 | 2. The method of claim 1 , wherein the first device includes a default personality for the robotic apparatus. | 2. The method of claim 1 , wherein the first device includes a default personality for the robotic apparatus. 3. The method of claim 2 , wherein the robotic apparatus includes a computing ability and is configured to interact with an ambient environment using an actuation capability. | 0.5 |
8,214,239 | 1 | 13 | 1. A business information system, comprising: an interface server coupled to at least one enterprise resource planning module, the interface server facilitating browser-based access to information provided at least in part by said at least one enterprise resource planning module, the interface server causing simultaneous display of a plurality of portlets, the plurality of portlets being selected and arranged according to a user profile customizable by a user of the business information system, said plurality of portlets including: a first portlet displaying first information derived from said at least one enterprise resource planning module; and a second portlet displaying second information derived from said at least one enterprise resource planning module; and an electronic mail server coupled to the interface server, the electronic mail server configured at least to transmit an electronic mail message to an electronic mail account of the user, the electronic mail message communicating the first information and the second information, wherein the user profile includes an e-mail alert format preference, the e-mail format alert preference recording whether the user prefers a graphical format over a text-only format for the electronic mail message, wherein, when the e-mail alert format preference indicates that the user prefers the graphical format, the electronic mail message includes a plurality of elements of a markup language that correspond to a browser-based display of the plurality of portlets, and wherein, when the e-mail alert format preference indicates that the user prefers the text-only format, the electronic mail message includes a text-only portion, the text-only portion including a plurality of text sections each corresponding to one of the plurality of portlets in accordance with the user profile. | 1. A business information system, comprising: an interface server coupled to at least one enterprise resource planning module, the interface server facilitating browser-based access to information provided at least in part by said at least one enterprise resource planning module, the interface server causing simultaneous display of a plurality of portlets, the plurality of portlets being selected and arranged according to a user profile customizable by a user of the business information system, said plurality of portlets including: a first portlet displaying first information derived from said at least one enterprise resource planning module; and a second portlet displaying second information derived from said at least one enterprise resource planning module; and an electronic mail server coupled to the interface server, the electronic mail server configured at least to transmit an electronic mail message to an electronic mail account of the user, the electronic mail message communicating the first information and the second information, wherein the user profile includes an e-mail alert format preference, the e-mail format alert preference recording whether the user prefers a graphical format over a text-only format for the electronic mail message, wherein, when the e-mail alert format preference indicates that the user prefers the graphical format, the electronic mail message includes a plurality of elements of a markup language that correspond to a browser-based display of the plurality of portlets, and wherein, when the e-mail alert format preference indicates that the user prefers the text-only format, the electronic mail message includes a text-only portion, the text-only portion including a plurality of text sections each corresponding to one of the plurality of portlets in accordance with the user profile. 13. The business information system method of claim 1 , 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. | 0.727626 |
8,898,129 | 15 | 21 | 15. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving, at a search system from a user device associated with a user, user input comprising one or more characters of a partial search query; determining that the one or more characters of the partial search query correspond to a trigger query; in response to determining that the one or more characters of the partial search query correspond to a trigger query, determining a predicted query for the trigger query, the predicted query comprising the trigger query and additional information for refining the trigger query; and providing the predicted query to the user device for presentation to the user prior to the user submitting a search query to the search system. | 15. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving, at a search system from a user device associated with a user, user input comprising one or more characters of a partial search query; determining that the one or more characters of the partial search query correspond to a trigger query; in response to determining that the one or more characters of the partial search query correspond to a trigger query, determining a predicted query for the trigger query, the predicted query comprising the trigger query and additional information for refining the trigger query; and providing the predicted query to the user device for presentation to the user prior to the user submitting a search query to the search system. 21. The system of claim 15 , wherein the additional information for refining the trigger query comprises one or more additional qualifiers for the trigger query. | 0.853102 |
9,953,186 | 7 | 8 | 7. A system for performing prefix search of encrypted cloud stored data, comprising: a network proxy server comprising a computer device and configured as a network intermediary between a user device and a cloud storage service storing order-preserving encrypted files, the network proxy server being configured to generate, in response to receiving a search request at a network intermediary with a search term directed to order-preserving encrypted files stored in a cloud storage service, a minimum possible plaintext string and a maximum possible plaintext string using the search term as prefix and padding the search term using at least one trailing character indicative of a minimum possible value or a maximum possible value, respectively, related to the search term, to encrypt the minimum possible plaintext string and the maximum possible plaintext string using the order-preserving encryption algorithm used to encrypt the order-preserving encrypted files, to generate a minimum ciphertext from the minimum possible plaintext string and a maximum ciphertext from the maximum possible plaintext string, to determine a set of common leading digits shared by the minimum ciphertext and the maximum ciphertext, to generate a cloud service search request including the set of common leading digits as an encrypted prefix search term, and, to receive, in response to transmitting the cloud service search request with the encrypted prefix search term to the cloud storage service, a search result from the cloud storage service. | 7. A system for performing prefix search of encrypted cloud stored data, comprising: a network proxy server comprising a computer device and configured as a network intermediary between a user device and a cloud storage service storing order-preserving encrypted files, the network proxy server being configured to generate, in response to receiving a search request at a network intermediary with a search term directed to order-preserving encrypted files stored in a cloud storage service, a minimum possible plaintext string and a maximum possible plaintext string using the search term as prefix and padding the search term using at least one trailing character indicative of a minimum possible value or a maximum possible value, respectively, related to the search term, to encrypt the minimum possible plaintext string and the maximum possible plaintext string using the order-preserving encryption algorithm used to encrypt the order-preserving encrypted files, to generate a minimum ciphertext from the minimum possible plaintext string and a maximum ciphertext from the maximum possible plaintext string, to determine a set of common leading digits shared by the minimum ciphertext and the maximum ciphertext, to generate a cloud service search request including the set of common leading digits as an encrypted prefix search term, and, to receive, in response to transmitting the cloud service search request with the encrypted prefix search term to the cloud storage service, a search result from the cloud storage service. 8. The system of claim 7 , wherein the network proxy server is further configured to receive the search result including a listing of document indexes identifying one or more encrypted files in the cloud storage service having an encrypted text with a prefix matching the encrypted prefix search term and to provide the search result to a requesting user device. | 0.658491 |
9,544,650 | 21 | 30 | 21. A non-transitory computer-readable medium containing computer executable instructions that, when executed by a processor, cause the processor to perform a method for providing information relating to media content, the method comprising: receiving audio data from a mobile device, wherein the audio data is based on audio captured via an audio input device of the mobile device; determining a channel that is providing a television program based on the received audio data; determining, in response to receiving the audio data, whether news content corresponding to the television program being provided on the channel exists, wherein the determining further comprises: obtaining a plurality of news documents from a plurality of news sources, wherein the plurality of news documents are sorted into subsets of news documents based on topic information; selecting a news document from each subset of news documents based on popularity information and timing information associated with a recency of the news document; determining a plurality of keywords associated with each of the subsets of news documents based on frequency of a keyword within the news documents contained each of the subset of news documents; receiving captioning content corresponding to a time window of the the determined channel; determining whether at least one of the plurality of keywords associated with each of the subsets of news documents is included in the captioning content; selecting a subset of news documents in response to determining that keywords associated with the subset of news document are included in the captioning content; obtaining one or more news items that correspond to the selected news document from the selected subset of news documents; and storing a timestamp that corresponds to the time window, the determined channel, and the obtained one or more news items; determining a time associated with the received audio data; in response to determining the channel that is providing the television program, determining that the timestamp corresponding to the determined channel was stored within a predetermined amount of time from the time associated with the received audio data; and in response to determining that the timestamp corresponding to the determined channel was stored within the predetermined amount of time, causing the one or more news items that correspond to the selected news document to be presented on the mobile device. | 21. A non-transitory computer-readable medium containing computer executable instructions that, when executed by a processor, cause the processor to perform a method for providing information relating to media content, the method comprising: receiving audio data from a mobile device, wherein the audio data is based on audio captured via an audio input device of the mobile device; determining a channel that is providing a television program based on the received audio data; determining, in response to receiving the audio data, whether news content corresponding to the television program being provided on the channel exists, wherein the determining further comprises: obtaining a plurality of news documents from a plurality of news sources, wherein the plurality of news documents are sorted into subsets of news documents based on topic information; selecting a news document from each subset of news documents based on popularity information and timing information associated with a recency of the news document; determining a plurality of keywords associated with each of the subsets of news documents based on frequency of a keyword within the news documents contained each of the subset of news documents; receiving captioning content corresponding to a time window of the the determined channel; determining whether at least one of the plurality of keywords associated with each of the subsets of news documents is included in the captioning content; selecting a subset of news documents in response to determining that keywords associated with the subset of news document are included in the captioning content; obtaining one or more news items that correspond to the selected news document from the selected subset of news documents; and storing a timestamp that corresponds to the time window, the determined channel, and the obtained one or more news items; determining a time associated with the received audio data; in response to determining the channel that is providing the television program, determining that the timestamp corresponding to the determined channel was stored within a predetermined amount of time from the time associated with the received audio data; and in response to determining that the timestamp corresponding to the determined channel was stored within the predetermined amount of time, causing the one or more news items that correspond to the selected news document to be presented on the mobile device. 30. The non-transitory computer-readable medium of claim 21 , wherein the news item includes at least one of: a snippet of the news document, an image of the news document, a link to the news document, and one or more links to similar news documents related to the news document. | 0.714139 |
9,715,491 | 10 | 14 | 10. A non-transitory processor-readable medium storing code representing instructions to be executed by a processor, the code comprising code to cause the processor to: receive a signal associated with a portion of text from a document; associate a document type with the document based at least in part on the signal; select, based on the document type, a document template having a plurality of sections, at least one section from the plurality of sections being associated with at least one policy preference used to analyze a meaning of the portion of text by interpreting a concept represented by text within the portion of text; prepare the portion of text for comparison with the document template by aligning the at least one section with the portion of text; analyze the meaning of the portion of text with respect to a condition associated with the document type based on the at least one policy preference, the at least one policy preference including an indication of the condition and an indication of a recommendation associated with the condition; and send the indication of the recommendation to an entity in response to the meaning satisfying the condition. | 10. A non-transitory processor-readable medium storing code representing instructions to be executed by a processor, the code comprising code to cause the processor to: receive a signal associated with a portion of text from a document; associate a document type with the document based at least in part on the signal; select, based on the document type, a document template having a plurality of sections, at least one section from the plurality of sections being associated with at least one policy preference used to analyze a meaning of the portion of text by interpreting a concept represented by text within the portion of text; prepare the portion of text for comparison with the document template by aligning the at least one section with the portion of text; analyze the meaning of the portion of text with respect to a condition associated with the document type based on the at least one policy preference, the at least one policy preference including an indication of the condition and an indication of a recommendation associated with the condition; and send the indication of the recommendation to an entity in response to the meaning satisfying the condition. 14. The non-transitory processor-readable medium of claim 10 , wherein the code to cause the processor to receive includes code to cause the processor to receive the signal in response to a request to access content associated with the document, the code further comprising code to cause the processor to: block transmission of at least a portion of the content based on the analyzing. | 0.626938 |
9,460,060 | 7 | 10 | 7. A method for preserving data associated with a document fragment of a source document to be deleted, comprising: (a) determining if the source document to be deleted includes a document fragment referenced by a fragment object located in an object repository, the document fragment including content data, the fragment object being referenced by a referencing document so as to provide the content data from the document fragment to the referencing document, the fragment object including a first set of data corresponding to a document fragment of the document to be; (b) copying the content data of the document fragment of the source document to be deleted to a second document when the source document to be deleted is determined to include the document fragment referenced by the fragment object; and (c) replacing, in the fragment object, the first set of data corresponding to a document fragment of the source document to be deleted with a second set of data corresponding to the document fragment of the second document. | 7. A method for preserving data associated with a document fragment of a source document to be deleted, comprising: (a) determining if the source document to be deleted includes a document fragment referenced by a fragment object located in an object repository, the document fragment including content data, the fragment object being referenced by a referencing document so as to provide the content data from the document fragment to the referencing document, the fragment object including a first set of data corresponding to a document fragment of the document to be; (b) copying the content data of the document fragment of the source document to be deleted to a second document when the source document to be deleted is determined to include the document fragment referenced by the fragment object; and (c) replacing, in the fragment object, the first set of data corresponding to a document fragment of the source document to be deleted with a second set of data corresponding to the document fragment of the second document. 10. The method as claimed in claim 7 , wherein the determination of the source document to be deleted includes the document fragment referenced by the fragment object determines whether a fragment object contains a reference to a document fragment within the source document to be deleted. | 0.527778 |
8,024,319 | 1 | 6 | 1. A computer-implemented method of creating an index of web queries, comprising: receiving a first query representative of one or more non-alphanumeric symbolic characters; receiving a second query representative of another one or more non-alphanumeric symbolic characters, the first and the second queries sharing at least one common non-alphanumeric symbolic character; creating suffix strings corresponding to the first and the second queries; converting the suffix strings into binary representations; utilizing the binary representations of the suffix strings to form a first binary tree, nodes of the first binary tree having a plurality of queries incorporated therein and at least one of the nodes including an indication of a digit to compare to differentiate the binary representations corresponding to the first and the second queries; creating a first text string of alphanumeric characters representative of the one or more non-alphanumeric symbolic characters of the first query; creating a second text string of alphanumeric characters representative of the another one or more non-alphanumeric symbolic characters of the second query; incorporating, with the use of a processor, the first and the second text strings into a second binary tree capable of having a plurality of text strings incorporated therein, the second binary tree having at least one node that corresponds to one of the plurality of queries incorporated within the first binary tree. | 1. A computer-implemented method of creating an index of web queries, comprising: receiving a first query representative of one or more non-alphanumeric symbolic characters; receiving a second query representative of another one or more non-alphanumeric symbolic characters, the first and the second queries sharing at least one common non-alphanumeric symbolic character; creating suffix strings corresponding to the first and the second queries; converting the suffix strings into binary representations; utilizing the binary representations of the suffix strings to form a first binary tree, nodes of the first binary tree having a plurality of queries incorporated therein and at least one of the nodes including an indication of a digit to compare to differentiate the binary representations corresponding to the first and the second queries; creating a first text string of alphanumeric characters representative of the one or more non-alphanumeric symbolic characters of the first query; creating a second text string of alphanumeric characters representative of the another one or more non-alphanumeric symbolic characters of the second query; incorporating, with the use of a processor, the first and the second text strings into a second binary tree capable of having a plurality of text strings incorporated therein, the second binary tree having at least one node that corresponds to one of the plurality of queries incorporated within the first binary tree. 6. The method of claim 1 , wherein the step of receiving a first query representative of one or more non-alphanumeric symbolic characters includes receiving a first query representative of one or more Chinese language characters. | 0.643302 |
9,367,350 | 4 | 5 | 4. The method of claim 1 further comprising: providing a third quantum of execution on a second meta-virtual processor to a third scheduler-context of the first scheduler during the first quantum of execution; and providing a fourth quantum of execution on the second meta-virtual processor to a fourth scheduler-context of the second scheduler subsequent to the first quantum of execution on the second meta-virtual processor. | 4. The method of claim 1 further comprising: providing a third quantum of execution on a second meta-virtual processor to a third scheduler-context of the first scheduler during the first quantum of execution; and providing a fourth quantum of execution on the second meta-virtual processor to a fourth scheduler-context of the second scheduler subsequent to the first quantum of execution on the second meta-virtual processor. 5. The method of claim 4 wherein the first scheduler-context is attached to a first virtual processor of the first scheduler, wherein the third scheduler-context is attached to a second virtual processor of the first scheduler, wherein the second scheduler-context is attached to a third virtual processor of the second scheduler, and wherein the fourth scheduler-context is attached to a fourth virtual processor of the second scheduler. | 0.5 |
8,527,313 | 1 | 4 | 1. A method for generating a work action or activity associated with a workflow, comprising: receiving, from a client device by a server of an enterprise system, a request to open a document in the client device, the document incorporating at least one data object from the enterprise system, the enterprise system including multiple backend systems accessible via at least one frontend interface on the client device; processing the request with the server, including identifying one of multiple different business scenarios in the enterprise system associated with the document, wherein the document is associated with the business scenario and not the other different business scenarios, the business scenario is defined in reference to resources and services to use to perform work related to a business goal of the business scenario, the resources including the document; determining in response to the identifying the business scenario, a distributed workflow specific to performing the work related to the business goal of the associated business scenario, the enterprise system including workflow management configured to generate the distributed workflow in response to identifying the business scenario; initiating the distributed workflow with the workflow management, the initiating including instantiating multiple work actions each representing an atomic business activity of the distributed workflow related to the document, at least one work action to be performed by a user other than a user that requested opening the document, and initiating a frontend interface on the client device for one of the backend systems and a connection by the client device to a service of the one backend system to perform work related to the document, wherein the distributed workflow uses the document as a resource to perform the work related to the business goal of the associated business scenario; and instantiating the document on the client device in response to the request to open the document including creating an instance of the enterprise data object, wherein the document is opened in a context of the associated business scenario and the distributed workflow initiated in response to the request to open the document. | 1. A method for generating a work action or activity associated with a workflow, comprising: receiving, from a client device by a server of an enterprise system, a request to open a document in the client device, the document incorporating at least one data object from the enterprise system, the enterprise system including multiple backend systems accessible via at least one frontend interface on the client device; processing the request with the server, including identifying one of multiple different business scenarios in the enterprise system associated with the document, wherein the document is associated with the business scenario and not the other different business scenarios, the business scenario is defined in reference to resources and services to use to perform work related to a business goal of the business scenario, the resources including the document; determining in response to the identifying the business scenario, a distributed workflow specific to performing the work related to the business goal of the associated business scenario, the enterprise system including workflow management configured to generate the distributed workflow in response to identifying the business scenario; initiating the distributed workflow with the workflow management, the initiating including instantiating multiple work actions each representing an atomic business activity of the distributed workflow related to the document, at least one work action to be performed by a user other than a user that requested opening the document, and initiating a frontend interface on the client device for one of the backend systems and a connection by the client device to a service of the one backend system to perform work related to the document, wherein the distributed workflow uses the document as a resource to perform the work related to the business goal of the associated business scenario; and instantiating the document on the client device in response to the request to open the document including creating an instance of the enterprise data object, wherein the document is opened in a context of the associated business scenario and the distributed workflow initiated in response to the request to open the document. 4. The method of claim 1 , wherein receiving the request to open the document comprises: receiving a request to open the document from a business office suite. | 0.636986 |
9,430,515 | 1 | 7 | 1. An industrial control system, comprising: a first hardware-based processor configured to: intake a processor-readable schema definition file configured to define a set of rules for a data document to follow; generate one or more data adherence rules, the data adherence rules comprising a set of rules for non-data document data, by: extracting attributes, elements, or both from the schema definition file; and determining the one or more data adherence rules using the extracted attributes, elements, or both; and store the one or more data adherence rules to enable subsquent data validation, data generation, data configuration, or a combination thereof, of one or more system data objects, the subsequent data validation being based upon data of the one or more system data objects without validating against any portion of the data document, wherein the data objects relate to one or more components of the industrial control system. | 1. An industrial control system, comprising: a first hardware-based processor configured to: intake a processor-readable schema definition file configured to define a set of rules for a data document to follow; generate one or more data adherence rules, the data adherence rules comprising a set of rules for non-data document data, by: extracting attributes, elements, or both from the schema definition file; and determining the one or more data adherence rules using the extracted attributes, elements, or both; and store the one or more data adherence rules to enable subsquent data validation, data generation, data configuration, or a combination thereof, of one or more system data objects, the subsequent data validation being based upon data of the one or more system data objects without validating against any portion of the data document, wherein the data objects relate to one or more components of the industrial control system. 7. The system of claim 1 , comprising a decision control system, wherein the decision control system comprises a second processor configured to: access the one or more data adherence rules, receive the one or more system data objects, and validate the one or more system data objects against the one or more data adherence rules. | 0.5 |
9,348,900 | 2 | 3 | 2. The method of claim 1 , wherein adjusting the confidence scores of the one or more candidate answers associated with the QA system pipeline comprises: determining a weighting factor for the confidence scores based on determined relevance of the QA system pipeline to the input question. | 2. The method of claim 1 , wherein adjusting the confidence scores of the one or more candidate answers associated with the QA system pipeline comprises: determining a weighting factor for the confidence scores based on determined relevance of the QA system pipeline to the input question. 3. The method of claim 2 , wherein determining a weighting factor for the confidence scores based on a determined relevance of the QA system pipeline to the input question comprises calculating the weighting factor as a function of a distance between the input question and a center of a cluster of training data used to train the QA system pipeline. | 0.5 |
7,885,987 | 17 | 18 | 17. The method of claim 1 , further comprising utilizing the attributes as criteria for at least one of searching, retrieving, reporting, and viewing the at least one document. | 17. The method of claim 1 , further comprising utilizing the attributes as criteria for at least one of searching, retrieving, reporting, and viewing the at least one document. 18. The method of claim 17 , wherein the attributes are utilized in combination with: (i) at least one of the attribute types, (ii) at least one sub-type of the at least one attribute type, (iii) a content of at least one field in the at least one document; (iv) a type of at least one field in the at least one document; and (v) information derived from the at least one field in the at least one document. | 0.5 |
9,613,132 | 1 | 17 | 1. A method of displaying by a client application running on at least one digital electronic device in communication with a search engine a plurality of user-selectable refinements to a first search query including at least one first search term, the method comprising: (a) sending by the client application to the search engine the first search query; (b) receiving by the client application from the search engine first search results in respect of the first search query and first suggested search query refinements having been determined by the search engine based at least in part on an analysis of groups of related search queries being related to the first search query, each of the first suggested search query refinements corresponding to a refined search query including the at least one first search term and at least one additional search term, the analysis of groups of related search queries including: filtering the related search queries to only those identified as having provided search results which provided a user with information sought by the user; grouping the filtered related search queries into the groups based on subsequent user behaviors of the users; and determining a suggested search query refinement for each of at least some of the groups, the suggested search query refinement corresponding to a refined search query including the at least one first search term and the at least one additional search term which has been derived from one of meaningful related search queries, the one of the meaningful related search queries having been determined as being the most popular in its respective group, the at least one additional search term having being determined as being the most unique as compared with previously identified suggested search query refinements; (c) displaying by the client application at least one first search result and, apart from a search bar, the first suggested search query refinements, the first suggested search query refinements being selectable by a user via at least one first graphical object; (d) receiving by the client application from a user via the at least one first graphical object a first selection of one of the first suggested search query refinements, the first selection corresponding to a first refined search query including the at least one first search term and at least one first additional search term; (e) sending by the client application to the search engine a request to obtain the first refined search results; (f) receiving by the client application from the search engine first refined search results in respect of the first refined search query; and (g) displaying by the client application at least one first refined search result and a visual representation of a refinement relationship between the first search query and the first refined search query. | 1. A method of displaying by a client application running on at least one digital electronic device in communication with a search engine a plurality of user-selectable refinements to a first search query including at least one first search term, the method comprising: (a) sending by the client application to the search engine the first search query; (b) receiving by the client application from the search engine first search results in respect of the first search query and first suggested search query refinements having been determined by the search engine based at least in part on an analysis of groups of related search queries being related to the first search query, each of the first suggested search query refinements corresponding to a refined search query including the at least one first search term and at least one additional search term, the analysis of groups of related search queries including: filtering the related search queries to only those identified as having provided search results which provided a user with information sought by the user; grouping the filtered related search queries into the groups based on subsequent user behaviors of the users; and determining a suggested search query refinement for each of at least some of the groups, the suggested search query refinement corresponding to a refined search query including the at least one first search term and the at least one additional search term which has been derived from one of meaningful related search queries, the one of the meaningful related search queries having been determined as being the most popular in its respective group, the at least one additional search term having being determined as being the most unique as compared with previously identified suggested search query refinements; (c) displaying by the client application at least one first search result and, apart from a search bar, the first suggested search query refinements, the first suggested search query refinements being selectable by a user via at least one first graphical object; (d) receiving by the client application from a user via the at least one first graphical object a first selection of one of the first suggested search query refinements, the first selection corresponding to a first refined search query including the at least one first search term and at least one first additional search term; (e) sending by the client application to the search engine a request to obtain the first refined search results; (f) receiving by the client application from the search engine first refined search results in respect of the first refined search query; and (g) displaying by the client application at least one first refined search result and a visual representation of a refinement relationship between the first search query and the first refined search query. 17. The method of claim 1 , further comprising: (h) receiving by the client application from a user via the at least one first graphical object a cancellation of the first selection; and (i) displaying by the client application the at least one first search result in lieu of the at least one first refined search result. | 0.898095 |
9,792,373 | 16 | 20 | 16. A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform a method comprising: determining at least one topic for potential presentation to a user based on an interaction of a connection of the user on a social networking system; determining a degree of separation between the user and the connection within the social networking system; determining a value of affinity between the user and the connection; determining a weight reflecting a value of interest similarity between the user and the connection; calculating a term based on the degree of separation, the value of affinity, and the weight reflecting a value of interest similarity; and combining terms associated with the at least one topic to generate a composite score associated with the at least one topic to determine whether to present the at least one topic to the user. | 16. A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform a method comprising: determining at least one topic for potential presentation to a user based on an interaction of a connection of the user on a social networking system; determining a degree of separation between the user and the connection within the social networking system; determining a value of affinity between the user and the connection; determining a weight reflecting a value of interest similarity between the user and the connection; calculating a term based on the degree of separation, the value of affinity, and the weight reflecting a value of interest similarity; and combining terms associated with the at least one topic to generate a composite score associated with the at least one topic to determine whether to present the at least one topic to the user. 20. The non-transitory computer-readable storage medium of claim 16 , wherein the connection is within a threshold value of a number of degrees of separation from the user. | 0.681481 |
7,899,803 | 11 | 14 | 11. The computer software program of claim 8 , the program steps further comprising: (a)(1) obtaining at least one pre-search result from at least one data source; (a)(2) loading the Web page represented by the at least one pre-search result URL into a browser instance; (a)(3) obtaining at least one screenshot of the Web page; and (a)(4) retaining the at least one screenshot for subsequent retrieval. | 11. The computer software program of claim 8 , the program steps further comprising: (a)(1) obtaining at least one pre-search result from at least one data source; (a)(2) loading the Web page represented by the at least one pre-search result URL into a browser instance; (a)(3) obtaining at least one screenshot of the Web page; and (a)(4) retaining the at least one screenshot for subsequent retrieval. 14. The computer software program of claim 11 wherein the screenshot is saved in an objectstore. | 0.733333 |
9,229,973 | 24 | 28 | 24. A method for associating documents and queries, comprising: receiving a first query submitted by a user; displaying at least one reference to a document in response to said first query; tracing at least one action of said user in relation to said at least one reference to a document; storing each of a) said first query as submitted by said user, and b) a relation between said first query and said at least one displayed reference to a document based on said traced action; using at least in part a second query from any user to identify at least one previously stored query; and displaying said at least one identified stored query; wherein a stored query comprises at least two query terms, and at least one query term comprises an expression containing more than one word. | 24. A method for associating documents and queries, comprising: receiving a first query submitted by a user; displaying at least one reference to a document in response to said first query; tracing at least one action of said user in relation to said at least one reference to a document; storing each of a) said first query as submitted by said user, and b) a relation between said first query and said at least one displayed reference to a document based on said traced action; using at least in part a second query from any user to identify at least one previously stored query; and displaying said at least one identified stored query; wherein a stored query comprises at least two query terms, and at least one query term comprises an expression containing more than one word. 28. The method according to claim 24 , wherein said storing a relation comprises receiving an input from a user to create said relation. | 0.844037 |
9,898,666 | 11 | 12 | 11. An apparatus for providing primitive visual knowledge, comprising: a user interface input unit; a user interface output unit; a network interface; a memory configured to store instructions; and a processor configured to execute the instructions, wherein the instructions perform a primitive visual knowledge providing method, the method comprising: receiving an image video in a form of a digital image sequence; dividing the received image video into scenes; extracting a representative shot from each of the scenes; extracting objects from frames which compose the representative shot; extracting action verbs based on a mutual relationship among the extracted objects; selecting a frame best expressing the mutual relationship with the objects, which are the basis for the extracting of the action verbs, as a key frame; generating the primitive visual knowledge based on the selected key frame; storing the generated primitive visual knowledge in a database; and visualizing the primitive visual knowledge stored in the database to provide the primitive visual knowledge to a manager, wherein the extracting of the representative shot includes: calculating an entropy in a section while moving along sections of separate scenes; and extracting a section having the highest entropy as the representative shot. | 11. An apparatus for providing primitive visual knowledge, comprising: a user interface input unit; a user interface output unit; a network interface; a memory configured to store instructions; and a processor configured to execute the instructions, wherein the instructions perform a primitive visual knowledge providing method, the method comprising: receiving an image video in a form of a digital image sequence; dividing the received image video into scenes; extracting a representative shot from each of the scenes; extracting objects from frames which compose the representative shot; extracting action verbs based on a mutual relationship among the extracted objects; selecting a frame best expressing the mutual relationship with the objects, which are the basis for the extracting of the action verbs, as a key frame; generating the primitive visual knowledge based on the selected key frame; storing the generated primitive visual knowledge in a database; and visualizing the primitive visual knowledge stored in the database to provide the primitive visual knowledge to a manager, wherein the extracting of the representative shot includes: calculating an entropy in a section while moving along sections of separate scenes; and extracting a section having the highest entropy as the representative shot. 12. The apparatus of claim 11 , wherein the dividing of the received image video into scenes includes: monitoring a change amount of an image video in the received image video; tagging a time point at which the change amount goes beyond a critical amount as a start point of a scene, and continuing to monitor the change amount of the image; tagging a time point at which the change amount is equal to or smaller than the critical amount as an end point of the scene; and separating an image video in a section between the start point and the end point of the scene, and storing the separated image video as a scene for analysis. | 0.5 |
8,249,996 | 15 | 18 | 15. A method for evaluating the likelihood that a candidate will match an employment requirement, the method comprising: electronically receiving an electronically stored at least one of, an e-mail, a text message, an electronic chat session and an electronically completed questionnaire, wherein the at least one of an e-mail, a text message, an electronic chat session and an electronically completed questionnaire, comprises a text string; electronically scoring, using a computation machine, the text string using an objective function module, said objective function consisting of at least one of spelling, grammar, word proximity, diction and sentence structure, said objective function module yielding an output score that corresponds to likelihood of match between a candidate associated with the text string and an employment requirement; and electronically determining, based on the output score, whether to electronically invite the candidate to participate in an electronic chat session. | 15. A method for evaluating the likelihood that a candidate will match an employment requirement, the method comprising: electronically receiving an electronically stored at least one of, an e-mail, a text message, an electronic chat session and an electronically completed questionnaire, wherein the at least one of an e-mail, a text message, an electronic chat session and an electronically completed questionnaire, comprises a text string; electronically scoring, using a computation machine, the text string using an objective function module, said objective function consisting of at least one of spelling, grammar, word proximity, diction and sentence structure, said objective function module yielding an output score that corresponds to likelihood of match between a candidate associated with the text string and an employment requirement; and electronically determining, based on the output score, whether to electronically invite the candidate to participate in an electronic chat session. 18. The method of claim 15 wherein the electronically scoring is based on presence of identified words in the text string. | 0.733624 |
8,332,530 | 1 | 2 | 1. A method of navigating a video program segmented into a plurality of segments and having a spoken dialog, comprising the steps of: generating a full textual transcript of the spoken dialog, the full textual transcript comprising a plurality of portions wherein each portion is associated with a segment of the video program; synchronizing each portion of the full textual transcript with the associated segment of the video program; transmitting user interface data including the full textual transcript to the client computer for presentation in a user interface, the user interface comprising a concurrently presented video program player playing the video program, a window configured to include portions of the full textual transcript, and a histogram having a plurality of features, each feature representing at least one of the segments of the video program and indicating a popularity of the represented at least one of the segments of the video program; accepting a selection for a portion of the full textual transcript included in the window of the user interface; determining the associated segment for the portion of the full textual transcript based on the synchronizing; and dynamically navigating to the segment of the video program associated with the selected portion of the full textual transcript in the video program player in response to the accepted selection. | 1. A method of navigating a video program segmented into a plurality of segments and having a spoken dialog, comprising the steps of: generating a full textual transcript of the spoken dialog, the full textual transcript comprising a plurality of portions wherein each portion is associated with a segment of the video program; synchronizing each portion of the full textual transcript with the associated segment of the video program; transmitting user interface data including the full textual transcript to the client computer for presentation in a user interface, the user interface comprising a concurrently presented video program player playing the video program, a window configured to include portions of the full textual transcript, and a histogram having a plurality of features, each feature representing at least one of the segments of the video program and indicating a popularity of the represented at least one of the segments of the video program; accepting a selection for a portion of the full textual transcript included in the window of the user interface; determining the associated segment for the portion of the full textual transcript based on the synchronizing; and dynamically navigating to the segment of the video program associated with the selected portion of the full textual transcript in the video program player in response to the accepted selection. 2. The method of claim 1 , wherein the video program is encoded with closed captioning information and the step of generating a full textual transcript of the spoken dialog of the video program comprises the steps of: playing the video program; decoding the closed captioning information of the played video program; associating the decoded closed captioning information with a temporal index of the video program; and generating the full textual transcript from the decoded closed captioning information and the temporal index. | 0.5 |
8,855,797 | 6 | 17 | 6. A computer-implemented method outputting first content and second content, the computer-implemented method comprising: under control of one or more computing devices, causing output of a first content and a second content; maintaining, based at least in part on synchronization information, synchronization between an output pointer of the second content and an associated position of the first content, wherein the associated position of the first content advances during output of the first content, and wherein the output pointer indicates a position within the second content corresponding to a current output position of the first content; obtaining, from an input device, an input pointer referencing a position within the second content being presented; during advancement of the output pointer, determining, independent of the obtained input pointer, a position of the output pointer corresponding to the current output position of the first content; determining a lead interval based at least in part on a difference between the determined position of the output pointer and the position of the second content referenced by the input pointer; and modifying an attribute associated with the output of the first content based at least in part on the determined lead interval. | 6. A computer-implemented method outputting first content and second content, the computer-implemented method comprising: under control of one or more computing devices, causing output of a first content and a second content; maintaining, based at least in part on synchronization information, synchronization between an output pointer of the second content and an associated position of the first content, wherein the associated position of the first content advances during output of the first content, and wherein the output pointer indicates a position within the second content corresponding to a current output position of the first content; obtaining, from an input device, an input pointer referencing a position within the second content being presented; during advancement of the output pointer, determining, independent of the obtained input pointer, a position of the output pointer corresponding to the current output position of the first content; determining a lead interval based at least in part on a difference between the determined position of the output pointer and the position of the second content referenced by the input pointer; and modifying an attribute associated with the output of the first content based at least in part on the determined lead interval. 17. The computer-implemented method of claim 6 , wherein modifying an attribute associated with the output of the first content based at least in part on the determined lead interval comprises modifying the attribute if the lead interval satisfies a threshold value. | 0.6675 |
8,463,715 | 44 | 47 | 44. A method for using a computer to generate a resume summary, comprising: receiving a request to generate the resume summary based on a resume stored in a resume database; selecting a job description stored in the resume database, the job description including at least one job requirement, each said at least one job requirement including a required skill or experience-related phrase and a required term of experience; sending a database query to the resume database, the database query identifying the resume and the job description; receiving a result set in response to the database query, the result set including the resume, and the resume summary; and storing the resume summary, wherein the resume includes at least one skill or experience-related phrase, wherein each skill or experience-related phrase has an experience range determined by examining a use of the skill or experience-related phrase in the resume, and a term of experience based on the experience range, wherein the term of experience for each skill or experience-related phrase having multiple occurrences in the resume is a summation of the term of experience, or a portion of the term of experience, for each occurrence of the skill or experience-related phrase associated with a different experience range, wherein the resume database includes a parsed resume associated with the resume, wherein the parsed resume includes each said at least one skill or experience-related phrase located in the resume, the term of experience for each said at least one skill or experience-related phrase, and a relationship between the term of experience and each said at least one skill or experience-related phrase, wherein said at least one skill or experience-related phrase includes said at least one required skill or experience-related phrase, or at least one implying phrase for said at least one required skill or experience-related phrase, that satisfies the job description, and wherein the resume summary includes said at least one required skill or experience-related phrase. | 44. A method for using a computer to generate a resume summary, comprising: receiving a request to generate the resume summary based on a resume stored in a resume database; selecting a job description stored in the resume database, the job description including at least one job requirement, each said at least one job requirement including a required skill or experience-related phrase and a required term of experience; sending a database query to the resume database, the database query identifying the resume and the job description; receiving a result set in response to the database query, the result set including the resume, and the resume summary; and storing the resume summary, wherein the resume includes at least one skill or experience-related phrase, wherein each skill or experience-related phrase has an experience range determined by examining a use of the skill or experience-related phrase in the resume, and a term of experience based on the experience range, wherein the term of experience for each skill or experience-related phrase having multiple occurrences in the resume is a summation of the term of experience, or a portion of the term of experience, for each occurrence of the skill or experience-related phrase associated with a different experience range, wherein the resume database includes a parsed resume associated with the resume, wherein the parsed resume includes each said at least one skill or experience-related phrase located in the resume, the term of experience for each said at least one skill or experience-related phrase, and a relationship between the term of experience and each said at least one skill or experience-related phrase, wherein said at least one skill or experience-related phrase includes said at least one required skill or experience-related phrase, or at least one implying phrase for said at least one required skill or experience-related phrase, that satisfies the job description, and wherein the resume summary includes said at least one required skill or experience-related phrase. 47. The method of claim 44 , wherein the receiving of the request is from a recruitment team that includes at least one recruitment team member. | 0.860194 |
8,423,555 | 5 | 6 | 5. The method of claim 1 , further comprising: determining that a segment boundary occurs between the first set of nodes and the second set of nodes based on the plurality of connections. | 5. The method of claim 1 , further comprising: determining that a segment boundary occurs between the first set of nodes and the second set of nodes based on the plurality of connections. 6. The method of claim 5 , further comprising: determining a segment of the content item based on the segment boundary. | 0.5 |
9,626,581 | 2 | 4 | 2. The method of claim 1 , wherein the plurality of feature cues is generated by at least a first detector of a first type and a second detector of a second type, wherein the first and second types are different. | 2. The method of claim 1 , wherein the plurality of feature cues is generated by at least a first detector of a first type and a second detector of a second type, wherein the first and second types are different. 4. The method of claim 2 , wherein the first detector and the second detector have substantially the same view of the target. | 0.553571 |
5,473,705 | 1 | 6 | 1. A sign language translation system, comprising: input means for inputting motion of hands as electric signals; sign language word generating means for recognizing words in accordance with said input electric signals and generating sign language words; storage means for storing conjugations or translations of said generated sign language words and postpositions or auxiliary verbs to be supplemented between said generated sign language words; dependence analyzing means for analyzing a dependence relationship between successive ones of said recognized words in accordance with said stored translations of said recognized words and outputting analyzed results; spoken language generating means for generating, in accordance with said analyzed results, an audibly communicated sentence by supplementing said stored postpositions or auxiliary verbs and providing said stored conjugations of conjugative words; and output means for outputting said generated spoken language. | 1. A sign language translation system, comprising: input means for inputting motion of hands as electric signals; sign language word generating means for recognizing words in accordance with said input electric signals and generating sign language words; storage means for storing conjugations or translations of said generated sign language words and postpositions or auxiliary verbs to be supplemented between said generated sign language words; dependence analyzing means for analyzing a dependence relationship between successive ones of said recognized words in accordance with said stored translations of said recognized words and outputting analyzed results; spoken language generating means for generating, in accordance with said analyzed results, an audibly communicated sentence by supplementing said stored postpositions or auxiliary verbs and providing said stored conjugations of conjugative words; and output means for outputting said generated spoken language. 6. A sign language translation system according to claim 1, wherein said dependence analyzing means analyzes the dependence relationship by performing the steps of: storing said recognized words into a stack memory in the sequence of word recognition; producing an analyzing table containing cases, parts of speech and translations of said stacked word; determining a word to be analyzed in the stack; searching words, from the stack, which are capable of depending on said determined word in accordance with said analyzing table; and storing said searched words into a memory. | 0.57511 |
9,613,024 | 12 | 13 | 12. A computer system for producing a dataset for representing a term or information related to an object, the system comprising: one or more processors operable to receive a first group of text contents comprising a plurality of text units; receive, or identify from the text contents, a first term comprising a word or a phrase; identify a text unit comprising a sentence or a phrase containing the first term and one or more second terms each comprising a word or a phrase; identify a relation between the first term and one or more second terms in the text unit using a machine-based algorithm based on occurrence, or location, or attributes associated with the first term or the one or more second terms; determine a strength measure of the relation between the first term and the corresponding one or more second terms; collect, based on the relation and the strength measure, one or more of the one or more second terms into a group of second terms; associate the group of second terms to the first term to form a dataset; and output the dataset as a representation of the first term by other terms associated with the first term, or information associated with an object represented by the first term, wherein the object comprises a physical or conceptual entity, wherein the group of second terms represent properties associated with the object. | 12. A computer system for producing a dataset for representing a term or information related to an object, the system comprising: one or more processors operable to receive a first group of text contents comprising a plurality of text units; receive, or identify from the text contents, a first term comprising a word or a phrase; identify a text unit comprising a sentence or a phrase containing the first term and one or more second terms each comprising a word or a phrase; identify a relation between the first term and one or more second terms in the text unit using a machine-based algorithm based on occurrence, or location, or attributes associated with the first term or the one or more second terms; determine a strength measure of the relation between the first term and the corresponding one or more second terms; collect, based on the relation and the strength measure, one or more of the one or more second terms into a group of second terms; associate the group of second terms to the first term to form a dataset; and output the dataset as a representation of the first term by other terms associated with the first term, or information associated with an object represented by the first term, wherein the object comprises a physical or conceptual entity, wherein the group of second terms represent properties associated with the object. 13. The system of claim 12 , wherein the one or more processors are further operable to produce a first score to represent the strength measure based on the occurrence, location, or attributes associated with the first term or the one or more second terms, wherein the group of second terms are collected based on the first score. | 0.5 |
9,182,952 | 1 | 6 | 1. A method comprising: capturing an image of a scene that includes a portion of a diagram representing functional blocks, wherein the functional blocks include at least a first functional block associated with a first computer operation; applying functional block recognition rules to image data of the image to recognize the functional blocks; determining whether the functional blocks comply with functional block syntax rules, wherein the functional block syntax rules indicate a hierarchy of operations associated with the functional blocks; and computer-generating a functional graph corresponding to the diagram based on the functional blocks complying with the functional block syntax rules, wherein the functional graph includes a graphical representation of the functional blocks. | 1. A method comprising: capturing an image of a scene that includes a portion of a diagram representing functional blocks, wherein the functional blocks include at least a first functional block associated with a first computer operation; applying functional block recognition rules to image data of the image to recognize the functional blocks; determining whether the functional blocks comply with functional block syntax rules, wherein the functional block syntax rules indicate a hierarchy of operations associated with the functional blocks; and computer-generating a functional graph corresponding to the diagram based on the functional blocks complying with the functional block syntax rules, wherein the functional graph includes a graphical representation of the functional blocks. 6. The method of claim 1 , wherein the functional blocks are matched to one or more functional blocks of a library. | 0.912879 |
9,569,540 | 2 | 3 | 2. The media of claim 1 , wherein determining that the search query is a task-oriented search query is performed using at least one query log. | 2. The media of claim 1 , wherein determining that the search query is a task-oriented search query is performed using at least one query log. 3. The media of claim 2 , wherein the at least one query log comprises at least one of aggregate past user session data and current session data associated with the user. | 0.5 |
8,024,812 | 4 | 5 | 4. The digital document processing apparatus according to claim 3 , wherein, in a case where an API is not defined in the pre-processing or the post-processing of the API to be actually called, the control unit calls the document manipulation library via only an API of the main processing and manipulates the digital document. | 4. The digital document processing apparatus according to claim 3 , wherein, in a case where an API is not defined in the pre-processing or the post-processing of the API to be actually called, the control unit calls the document manipulation library via only an API of the main processing and manipulates the digital document. 5. The digital document processing apparatus according to claim 4 , wherein the API for manipulating the document is an API of an open document for opening the digital document, and wherein the control unit calls the document manipulation library via an X_Duplicate defined in the pre-processing of the API to be actually called, generates a copy of the digital document, calls the document manipulation library via an X_OpenDocument defined in the main processing of the API to be actually called, opens the copied digital document, calls the document manipulation library via an X_CallBackMessage defined in the post-processing of the API to be actually called, and notifies the application program that not the digital document but the copied digital document is generated and opened. | 0.5 |
8,050,928 | 10 | 19 | 10. The method of claim 9 , further comprising recording a nametag corresponding to delimited data fields used to communicate with the DTMF-controlled telecommunications system, wherein the delimited data fields correspond to a plurality of DTMF signals for transmitting in response to the absence of speech energy. | 10. The method of claim 9 , further comprising recording a nametag corresponding to delimited data fields used to communicate with the DTMF-controlled telecommunications system, wherein the delimited data fields correspond to a plurality of DTMF signals for transmitting in response to the absence of speech energy. 19. The method of claim 10 , further comprising sending the delimited data fields stored in the nametag to the DTMF-controlled communications system. | 0.724074 |
7,657,006 | 10 | 11 | 10. A computer readable medium having a computer program for translating a message, the program having instructions for performing: generating an electronic message in an understood language of an originating party; receiving instructions to translate contents of the electronic message to another language; prompting a receiving party to select the another language; converting the electronic message to the another language in accordance with the instructions; and delivering the converted electronic message to the receiving party. | 10. A computer readable medium having a computer program for translating a message, the program having instructions for performing: generating an electronic message in an understood language of an originating party; receiving instructions to translate contents of the electronic message to another language; prompting a receiving party to select the another language; converting the electronic message to the another language in accordance with the instructions; and delivering the converted electronic message to the receiving party. 11. The computer readable medium of claim 10 , wherein the electronic message comprises a voice recording that is delivered to a mailbox of the receiving party. | 0.738562 |
7,853,614 | 18 | 20 | 18. An apparatus for assessing reputability of email, comprising: a memory configured to store at least some hierarchical domains that include a first domain level and a second sub-domain level of the first domain level, wherein at least some of the first and second domain levels of the same hierarchical domains have different associated reputability values; and a processing device configured to access the memory to derive a first lower reputability value for a domain when a reputability value for a sub-domain level of the domain is not found in the memory and to derive a second higher reputability value for the domain when a reputability value for the sub-domain level of the domain is found in the memory, wherein the processing device is configured to: determine whether the first domain level in one of the hierarchical domains matches a domain for assessment; use a first reputability value associated with the first domain level for deriving a reputability score when the first domain level matches the domain; determine whether a second sub-domain level of the first domain level matches the domain; and use a second reputability value associated with the second sub-domain level associated with a higher reputability than the first reputability value for deriving the reputability score when the second sub-domain level matches the domain for assessment. | 18. An apparatus for assessing reputability of email, comprising: a memory configured to store at least some hierarchical domains that include a first domain level and a second sub-domain level of the first domain level, wherein at least some of the first and second domain levels of the same hierarchical domains have different associated reputability values; and a processing device configured to access the memory to derive a first lower reputability value for a domain when a reputability value for a sub-domain level of the domain is not found in the memory and to derive a second higher reputability value for the domain when a reputability value for the sub-domain level of the domain is found in the memory, wherein the processing device is configured to: determine whether the first domain level in one of the hierarchical domains matches a domain for assessment; use a first reputability value associated with the first domain level for deriving a reputability score when the first domain level matches the domain; determine whether a second sub-domain level of the first domain level matches the domain; and use a second reputability value associated with the second sub-domain level associated with a higher reputability than the first reputability value for deriving the reputability score when the second sub-domain level matches the domain for assessment. 20. The apparatus according to claim 18 , wherein the processing device is configured, for at least some of the hierarchical domains, to increase the reputability score for each additional sub-domain level for the same hierarchical domains found in the memory. | 0.764493 |
9,477,709 | 2 | 3 | 2. The method of claim 1 , further comprising: selecting a media item type based on the natural language query submitted by the user; and identifying the particular media item based on (i) detecting the match between one or more features of the ambient environmental data obtained from the environment of the user and one or more features of the particular media item, and (ii) determining that the particular media item is associated with a media item type that corresponds to the selected media item type. | 2. The method of claim 1 , further comprising: selecting a media item type based on the natural language query submitted by the user; and identifying the particular media item based on (i) detecting the match between one or more features of the ambient environmental data obtained from the environment of the user and one or more features of the particular media item, and (ii) determining that the particular media item is associated with a media item type that corresponds to the selected media item type. 3. The method of claim 2 , wherein selecting the media item type based on the natural language query submitted by the user comprises: obtaining a transcription of the natural language query submitted by the user; comparing the transcription of the natural language query submitted by the user to one or more keyword phrases that are associated with media item types; and selecting the media item type based on determining that the transcription of the natural language query submitted by the user matches a particular keyword phrase that is associated with the selected media item type. | 0.5 |
9,134,798 | 14 | 15 | 14. A method comprising: detecting, by a first computing device, a gesture performed on a touch-screen display of the first computing device; determining that the gesture is excluded from a set of gestures stored on the first computing device; requesting a set of user gestures from a second computing device; performing an action corresponding to the gesture based at least partly on the set of user gestures; determining that a second gesture input received from the touch-screen display within a predetermined time period comprises a duplicate gesture, wherein the gesture and the second gesture are sent to a same software application executing on the first computing device; and ignoring the duplicate gesture. | 14. A method comprising: detecting, by a first computing device, a gesture performed on a touch-screen display of the first computing device; determining that the gesture is excluded from a set of gestures stored on the first computing device; requesting a set of user gestures from a second computing device; performing an action corresponding to the gesture based at least partly on the set of user gestures; determining that a second gesture input received from the touch-screen display within a predetermined time period comprises a duplicate gesture, wherein the gesture and the second gesture are sent to a same software application executing on the first computing device; and ignoring the duplicate gesture. 15. The method of claim 14 , further comprising: determining a context associated with the gesture; and determining the action corresponding to the gesture based at least partly on the context associated with the gesture. | 0.66 |
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