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10,083,688 | 15 | 18 | 15. A method for voice control of displayed content, comprising: at an electronic device: receiving a first spoken user input; obtaining a first text string based on the first spoken user input; deriving a representation of a first user intent based on the first text string, wherein the first user intent is derived based on a degree of match between the first text string and one or more words associated with a first predefined domain; determining whether a task associated with one or more displayed affordances may be identified based on the representation of the first user intent based on the first text string; in accordance with a determination that a task may be identified based on the representation of the first user intent based on the first text string, performing the task associated with the one or more displayed affordances; and in accordance with a determination that a task may not be identified based on the representation of the first user intent: highlighting one or more of the displayed affordances; receiving a second spoken user input corresponding to an affordance of the one or more affordances; obtaining a second text string based on the second spoken user input; derive a representation of a second user intent based on the second text string, wherein the second user intent is derived based on a degree of match between the second text string and one or more words associated with a second predefined domain; determining whether a task may be identified based on the representation of the second user intent based on the second text string; and in accordance with a determination that a task may be identified based on the representation of the second user intent based on the second text string, selecting the affordance of the one or more affordances. | 15. A method for voice control of displayed content, comprising: at an electronic device: receiving a first spoken user input; obtaining a first text string based on the first spoken user input; deriving a representation of a first user intent based on the first text string, wherein the first user intent is derived based on a degree of match between the first text string and one or more words associated with a first predefined domain; determining whether a task associated with one or more displayed affordances may be identified based on the representation of the first user intent based on the first text string; in accordance with a determination that a task may be identified based on the representation of the first user intent based on the first text string, performing the task associated with the one or more displayed affordances; and in accordance with a determination that a task may not be identified based on the representation of the first user intent: highlighting one or more of the displayed affordances; receiving a second spoken user input corresponding to an affordance of the one or more affordances; obtaining a second text string based on the second spoken user input; derive a representation of a second user intent based on the second text string, wherein the second user intent is derived based on a degree of match between the second text string and one or more words associated with a second predefined domain; determining whether a task may be identified based on the representation of the second user intent based on the second text string; and in accordance with a determination that a task may be identified based on the representation of the second user intent based on the second text string, selecting the affordance of the one or more affordances. 18. The method of claim 15 , wherein the first spoken user input includes a task and an argument. | 0.872703 |
8,903,924 | 4 | 5 | 4. The method of claim 1 , wherein identifying, by the computer system and in the text-based electronic communications, first data of interest with the predetermined characteristic in the text-based electronic communications includes identifying, by the computer system and in the text-based electronic communications, first and second data of interest with the predetermined characteristic in first and second text-based electronic communications of the text-based electronic communications, respectively, each of the first and second text-based electronic communications sent to a different intended recipient; and extracting, by the computer system, the identified first data of interest from the text-based electronic communications includes extracting, by the computer system, the identified first and second data of interest from the first and second text-based electronic communications, respectively. | 4. The method of claim 1 , wherein identifying, by the computer system and in the text-based electronic communications, first data of interest with the predetermined characteristic in the text-based electronic communications includes identifying, by the computer system and in the text-based electronic communications, first and second data of interest with the predetermined characteristic in first and second text-based electronic communications of the text-based electronic communications, respectively, each of the first and second text-based electronic communications sent to a different intended recipient; and extracting, by the computer system, the identified first data of interest from the text-based electronic communications includes extracting, by the computer system, the identified first and second data of interest from the first and second text-based electronic communications, respectively. 5. The method of claim 4 , wherein obtaining, by the computer system and for each identified first data of interest, an initial first set of associated data that is associated with the extracted first data of interest from at least one electronic resource includes obtaining, by the computer system and for each identified first data of interest, first and second initial sets of associated data that are associated with the first and second extracted data of interest, respectively, from at least one electronic resource external to the computer system; and displaying, by the computer system and independently of the text-based electronic communications and the at least one electronic resource, a plurality of instances of the extracted first data of interest with the obtained initial first set of associated data includes displaying, by the computer system and independently of the first and second text-based electronic communications and the at least one electronic resource, the first extracted data of interest with the obtained first initial sets of associated data and the second extracted data of interest with the obtained second initial set of associated data. | 0.5 |
7,640,498 | 20 | 27 | 20. A client for enabling a document to be remotely displayed, comprising: a memory for storing instructions; a processor for enabling actions, including: providing a request for a document to a server; enabling the server to determine a type of a platform for the client and selectively associating a size ratio between a plurality of font sizes with the determined type of the remote platform by the server, the type of the platform including a type of an operating system and type of a native browser that are employed to display the document, the enabling the server to determine the type of the remote platform comprising enabling the server to determine the type of the operating system and to determine the type of the native browser, and the selective association based on the determined type of the operating system and the determined type of the native browser; receiving the document for display, the received document being locally scaled for display by the operation of the native browser with the size ratio for the plurality of font sizes; and enabling the plurality of font sizes to be changed with at least one control of the native browser operating on the client, a size change to the font sizes being determined by the operation of the native browser, the size ratio between the plurality of font sizes being maintained for a change to a size of at least one font displayed in the document at the remote platform, the at least one control changes the at least one font associated with at least one markup language text element displayed within the document. | 20. A client for enabling a document to be remotely displayed, comprising: a memory for storing instructions; a processor for enabling actions, including: providing a request for a document to a server; enabling the server to determine a type of a platform for the client and selectively associating a size ratio between a plurality of font sizes with the determined type of the remote platform by the server, the type of the platform including a type of an operating system and type of a native browser that are employed to display the document, the enabling the server to determine the type of the remote platform comprising enabling the server to determine the type of the operating system and to determine the type of the native browser, and the selective association based on the determined type of the operating system and the determined type of the native browser; receiving the document for display, the received document being locally scaled for display by the operation of the native browser with the size ratio for the plurality of font sizes; and enabling the plurality of font sizes to be changed with at least one control of the native browser operating on the client, a size change to the font sizes being determined by the operation of the native browser, the size ratio between the plurality of font sizes being maintained for a change to a size of at least one font displayed in the document at the remote platform, the at least one control changes the at least one font associated with at least one markup language text element displayed within the document. 27. The client of claim 20 , wherein the actions further comprise enabling an ordered comparison of the platform to a plurality of pre-determined types of platforms, wherein the ordering is based on at least a frequency of use. | 0.661194 |
9,710,459 | 17 | 18 | 17. A computer system for communication monitoring based on sentiment, the computer system comprising: one or more computer processors, one or more non-transitory computer-readable storage media, and program instructions stored on one or more of the one or more non-transitory computer-readable storage media for execution by at least one of the one or more processors, the program instructions comprising: program instructions to monitor a new communication prior to sending created by a sender to a recipient, wherein the new communication comprises text input by the sender; program instructions to analyze the text of the new communication using sentiment analysis and program instructions to determine a sentiment score on a scale between negative sentiment and positive sentiment; program instructions to reference an overall relationship score based on past communications between the sender and the recipient in response to the sentiment score for the text of the new communication being on a negative side of a first predefined threshold on the scale; program instructions to hold a transmission of the new communication or activating another action in response to the overall relationship score being on the negative side of a second predefined threshold in response to the overall relationship score being on the negative side of a second predefined threshold; and program instructions to send a notification to at least one of the sender or a supervisor of the sender in response to the overall relationship score being on the negative side of the second predefined threshold. | 17. A computer system for communication monitoring based on sentiment, the computer system comprising: one or more computer processors, one or more non-transitory computer-readable storage media, and program instructions stored on one or more of the one or more non-transitory computer-readable storage media for execution by at least one of the one or more processors, the program instructions comprising: program instructions to monitor a new communication prior to sending created by a sender to a recipient, wherein the new communication comprises text input by the sender; program instructions to analyze the text of the new communication using sentiment analysis and program instructions to determine a sentiment score on a scale between negative sentiment and positive sentiment; program instructions to reference an overall relationship score based on past communications between the sender and the recipient in response to the sentiment score for the text of the new communication being on a negative side of a first predefined threshold on the scale; program instructions to hold a transmission of the new communication or activating another action in response to the overall relationship score being on the negative side of a second predefined threshold in response to the overall relationship score being on the negative side of a second predefined threshold; and program instructions to send a notification to at least one of the sender or a supervisor of the sender in response to the overall relationship score being on the negative side of the second predefined threshold. 18. The computer system as claimed in claim 17 , wherein the overall relationship score is generated by program instructions to perform sentiment analysis on text content of past communications between the sender and the recipient and program instructions to determine the sentiment score on the scale between negative sentiment and positive sentiment. | 0.5 |
9,137,581 | 1 | 3 | 1. A video recording/playing device comprising: a memory that comprises a program information database that stores: an electronic program guide that includes program information about programs that are currently broadcasted or scheduled to be broadcasted, and recorded program information that includes program information about recorded programs; and a processor that: acquires, from the Internet, a trending word for which a search frequency is rising; retrieves from the program information database program information that includes the trending word; schedules a recording of a program having the program information that includes the trending word when the processor retrieves the program information that includes the trending word from the electronic program guide; and plays the program having the program information that includes the trending word when the processor retrieves the program information that includes the trending word from the recorded program information. | 1. A video recording/playing device comprising: a memory that comprises a program information database that stores: an electronic program guide that includes program information about programs that are currently broadcasted or scheduled to be broadcasted, and recorded program information that includes program information about recorded programs; and a processor that: acquires, from the Internet, a trending word for which a search frequency is rising; retrieves from the program information database program information that includes the trending word; schedules a recording of a program having the program information that includes the trending word when the processor retrieves the program information that includes the trending word from the electronic program guide; and plays the program having the program information that includes the trending word when the processor retrieves the program information that includes the trending word from the recorded program information. 3. The video recording/playing device as set forth in claim 1 , wherein the processor: displays on a screen, as a search word candidate, the acquired trending word, and receives a selection input of a search word from a user, and retrieves from the program information database program information that includes the search word selected by the user. | 0.734802 |
9,258,351 | 14 | 15 | 14. A non-transitory computer-readable storage medium containing a set of instructions to cause one or more processors to: receive, from a publisher, a message associated with a general subject; consume, via one of a plurality of consumer threads running on the one or more processors, the message from the publisher; determine a set of specific subjects for the message; publish the message to a set of consumers in accordance with one or more subscriptions based on the specific subjects and the general subject; and add or remove a consumer thread from the plurality of consumer threads based on one or more performance metrics. | 14. A non-transitory computer-readable storage medium containing a set of instructions to cause one or more processors to: receive, from a publisher, a message associated with a general subject; consume, via one of a plurality of consumer threads running on the one or more processors, the message from the publisher; determine a set of specific subjects for the message; publish the message to a set of consumers in accordance with one or more subscriptions based on the specific subjects and the general subject; and add or remove a consumer thread from the plurality of consumer threads based on one or more performance metrics. 15. The non-transitory computer-readable storage medium of claim 14 , wherein the set of instructions further causes the one or more processors to receive from the consumers a desired format and transform the message into the desired format. | 0.5 |
8,214,310 | 22 | 23 | 22. A computer-readable medium being non-transitory and having stored thereon a plurality of instructions, the plurality of instructions including instructions that, when executed by a processor, cause the processor to: a) extract descriptors for each of a plurality of unlabeled exemplars, each extracted descriptor being a representation of a corresponding one of said plurality of unlabeled exemplars; b) automatically generate labels from said each extracted descriptor, said each extracted descriptor being used to automatically generate labels for other ones of said descriptors; c) develop a predictor for said each extracted descriptor from generated said labels; and d) combine predictions across predictors, labels being generated from combined said predictions for each of said unlabeled exemplars. | 22. A computer-readable medium being non-transitory and having stored thereon a plurality of instructions, the plurality of instructions including instructions that, when executed by a processor, cause the processor to: a) extract descriptors for each of a plurality of unlabeled exemplars, each extracted descriptor being a representation of a corresponding one of said plurality of unlabeled exemplars; b) automatically generate labels from said each extracted descriptor, said each extracted descriptor being used to automatically generate labels for other ones of said descriptors; c) develop a predictor for said each extracted descriptor from generated said labels; and d) combine predictions across predictors, labels being generated from combined said predictions for each of said unlabeled exemplars. 23. A computer-readable medium as in claim 22 , wherein the step (b) of automatically generating labels causes the processor to provide said unlabeled exemplars to a label provider service. | 0.802301 |
8,719,268 | 15 | 16 | 15. A system enabling parallel processing of an XML document without pre-parsing, comprising: a memory having a plurality of XML documents stored therein, wherein the XML documents have associated metadata, a plurality of XML consumers; and a processor configured with logic to: in response to a request for processing a first XML document from the plurality of stored XML documents, determine a number N that is the number of XML consumers available to process the first XML document; analyze metadata associated with the first XML document that identifies at least N partition points evenly distributed throughout the XML document, generated at a predetermined size interval of the XML document prior to the request for processing, to generate N partitions of the first XML document corresponding to the at least N partition points without parsing; and process the partitions in parallel, wherein each XML consumer processes one of the partitions. | 15. A system enabling parallel processing of an XML document without pre-parsing, comprising: a memory having a plurality of XML documents stored therein, wherein the XML documents have associated metadata, a plurality of XML consumers; and a processor configured with logic to: in response to a request for processing a first XML document from the plurality of stored XML documents, determine a number N that is the number of XML consumers available to process the first XML document; analyze metadata associated with the first XML document that identifies at least N partition points evenly distributed throughout the XML document, generated at a predetermined size interval of the XML document prior to the request for processing, to generate N partitions of the first XML document corresponding to the at least N partition points without parsing; and process the partitions in parallel, wherein each XML consumer processes one of the partitions. 16. The system of claim 15 , wherein the metadata associated with the first XML document is stored inside a CDATA section at the start of the first XML document. | 0.811475 |
9,092,636 | 24 | 31 | 24. A system for preventing unauthorized disclosure of secure information, the system having a processor and comprising: a receiving module to receive digital information including a first text, the first text including a plurality of words; a candidate ID module to identify a first candidate entity, the first candidate entity corresponding to a particular word of the plurality of words; a comparison module to compare the first candidate entity against a plurality of compressed registered entities stored in a lightweight entity database (LWED) stored locally; a communication module to transmit the first candidate entity to a remote server that can access a global entity database (GED), wherein the GED includes the plurality of registered entities in an uncompressed form, and wherein the remote server automatically generates a confirmation on whether the first candidate entity matches against a second registered entity in the GED; the communication module to receive from the remote server the confirmation; and a security action module to perform a security action when the first candidate entity matches against a particular registered entity of the registered entities in the GED, wherein the security action is performed on the first text before the first text is disclosed through the system. | 24. A system for preventing unauthorized disclosure of secure information, the system having a processor and comprising: a receiving module to receive digital information including a first text, the first text including a plurality of words; a candidate ID module to identify a first candidate entity, the first candidate entity corresponding to a particular word of the plurality of words; a comparison module to compare the first candidate entity against a plurality of compressed registered entities stored in a lightweight entity database (LWED) stored locally; a communication module to transmit the first candidate entity to a remote server that can access a global entity database (GED), wherein the GED includes the plurality of registered entities in an uncompressed form, and wherein the remote server automatically generates a confirmation on whether the first candidate entity matches against a second registered entity in the GED; the communication module to receive from the remote server the confirmation; and a security action module to perform a security action when the first candidate entity matches against a particular registered entity of the registered entities in the GED, wherein the security action is performed on the first text before the first text is disclosed through the system. 31. The system of claim 24 , wherein the first candidate entity is converted to a canonical format prior to being compared against the plurality of compressed registered entities, wherein the canonical format causes the comparison module to be impervious to differences in digital format and character encoding of the first candidate entity. | 0.654858 |
8,930,376 | 6 | 7 | 6. The method of claim 5 , wherein determining a measure of similarity between the plurality of social bookmarking tags associated with the web page and the fragment comprises: organizing the plurality of social bookmarking tags into unique pairs; obtaining related social bookmarking tags associated with each of the unique pairs to generate an expanded set of social bookmarking tags corresponding to each of the unique pairs; determining a measure of similarity between each expanded set of social bookmarking tags and the fragment to generate a similarity score for each of the unique pairs; and multiplying the similarity scores for each of the unique pairs together. | 6. The method of claim 5 , wherein determining a measure of similarity between the plurality of social bookmarking tags associated with the web page and the fragment comprises: organizing the plurality of social bookmarking tags into unique pairs; obtaining related social bookmarking tags associated with each of the unique pairs to generate an expanded set of social bookmarking tags corresponding to each of the unique pairs; determining a measure of similarity between each expanded set of social bookmarking tags and the fragment to generate a similarity score for each of the unique pairs; and multiplying the similarity scores for each of the unique pairs together. 7. The method of claim 6 , wherein determining a measure of similarity between the plurality of social bookmarking tags associated with the web page and the fragment further comprises: obtaining a frequency of use associated with each social bookmarking tag in the plurality of social bookmarking tags; and weighting the similarity score for each of the unique pairs based on the frequency of use associated with each social bookmarking tag in the unique pair. | 0.5 |
9,740,685 | 1 | 4 | 1. A method for generating a natural language model for a specific information domain, comprising: building a skeleton of a natural language lexicon for the specific information domain from a source model of the specific information domain, the skeleton comprising terms found in the source model, the source model comprising classification hierarchies for the terms, the terms including objects and attributes; using the skeleton of the natural language lexicon to form a dictionary; applying a set of syntactical rules defining concepts and relationships to the dictionary; expanding the skeleton of the natural language lexicon based on a plurality of reference documents from the specific information domain, wherein expanding the skeleton comprises: clustering and scoring terms for concepts and relationships, and an intersection component for intersecting the syntactic rules and the clustered concepts and relationships; and using the expanded skeleton of the natural language lexicon, provide a natural language processing model for the specific information domain, the natural language processing model utilized by a user in the specific information domain to analyze documents in the specific information domain. | 1. A method for generating a natural language model for a specific information domain, comprising: building a skeleton of a natural language lexicon for the specific information domain from a source model of the specific information domain, the skeleton comprising terms found in the source model, the source model comprising classification hierarchies for the terms, the terms including objects and attributes; using the skeleton of the natural language lexicon to form a dictionary; applying a set of syntactical rules defining concepts and relationships to the dictionary; expanding the skeleton of the natural language lexicon based on a plurality of reference documents from the specific information domain, wherein expanding the skeleton comprises: clustering and scoring terms for concepts and relationships, and an intersection component for intersecting the syntactic rules and the clustered concepts and relationships; and using the expanded skeleton of the natural language lexicon, provide a natural language processing model for the specific information domain, the natural language processing model utilized by a user in the specific information domain to analyze documents in the specific information domain. 4. The method as claimed in claim 1 , wherein expanding the skeleton further comprises: selecting a preferred term as a concept or relationship; carrying out a keyword search for the preferred term in reference documents; and providing an ordered set of potential for the preferred term. | 0.5 |
5,587,903 | 8 | 11 | 8. A system for translating a sentence entered by a user into machine recognizable thought patterns, said method comprising: means for receiving the sentence entered by the user; means for translating the user's sentence to a universal language; means for parsing the translated sentence; means for deriving propositions from the parsed translated sentence of the user; means for sequentially storing the derived propositions into a knowledge database; and, means for generating a set of peripheral database linkages for said sets of derived propositions representing the user's sentence, wherein each of said peripheral database linkages include a peripheral database representing a function of speech selectively linked to one or more of the other peripheral databases and the knowledge database. | 8. A system for translating a sentence entered by a user into machine recognizable thought patterns, said method comprising: means for receiving the sentence entered by the user; means for translating the user's sentence to a universal language; means for parsing the translated sentence; means for deriving propositions from the parsed translated sentence of the user; means for sequentially storing the derived propositions into a knowledge database; and, means for generating a set of peripheral database linkages for said sets of derived propositions representing the user's sentence, wherein each of said peripheral database linkages include a peripheral database representing a function of speech selectively linked to one or more of the other peripheral databases and the knowledge database. 11. A system as claimed in claim 8, means for storing each noun present in each derived proposition into a noun database listing in conjunction with the identification of the proposition the noun first appears respective to the sequential order of the propositions stored in the knowledge database. | 0.763116 |
8,838,015 | 1 | 3 | 1. A method, comprising: receiving data associated with a characteristic of a plurality of students from an educational delivery system; selecting automatically a control group of students from the plurality of students and an experimental group of students from the plurality of students based on the data such that a value of the characteristic associated with each student from the control group of students is substantially identical to a value of the characteristic associated with each student from the experimental group of students; delivering, from a delivery engine implemented in at least one of a memory or a processing device, a first educational material to the control group of students, the first educational material including a first content associated with a plurality of learning objectives, which is arranged to define at least a first learning path; and delivering a second educational material to the experimental group of students, the second educational material including a second content associated with the plurality of learning objectives, which is arranged to define at least a second learning path. | 1. A method, comprising: receiving data associated with a characteristic of a plurality of students from an educational delivery system; selecting automatically a control group of students from the plurality of students and an experimental group of students from the plurality of students based on the data such that a value of the characteristic associated with each student from the control group of students is substantially identical to a value of the characteristic associated with each student from the experimental group of students; delivering, from a delivery engine implemented in at least one of a memory or a processing device, a first educational material to the control group of students, the first educational material including a first content associated with a plurality of learning objectives, which is arranged to define at least a first learning path; and delivering a second educational material to the experimental group of students, the second educational material including a second content associated with the plurality of learning objectives, which is arranged to define at least a second learning path. 3. The method of claim 1 , wherein: the data is associated with a plurality of characteristics of the plurality of students, the plurality of characteristics including the characteristic of the plurality of students and a plurality of weighted parameters configured to quantify an extent to which each student from the plurality of students exhibits each characteristic from the plurality of characteristics; and the selecting automatically includes producing an identity parameter for each student from the plurality of students based on the plurality of weighted parameters. | 0.505155 |
9,842,390 | 13 | 17 | 13. A computer system for automatic ground truth generation of medical image collections, the computer system comprising: a processor configured to execute a program code causing the computer system to: receive a plurality of imaging studies, wherein each imaging study comprises one or more images and a textual report associated with the one or more images; select a key image from each of the plurality of imaging studies; extract one or more discriminating image features from a region of interest within the key image; process the textual report associated with the one or more images to detect one or more concept labels; assign an initial label from the one or more concept labels to the one or more discriminating image features; and learn an association between each of the one or more discriminating image features and the one or more concept labels; wherein learning the association between each of the one or more discriminating image features and the one or more concept labels comprises executing a convex optimization learning algorithm. | 13. A computer system for automatic ground truth generation of medical image collections, the computer system comprising: a processor configured to execute a program code causing the computer system to: receive a plurality of imaging studies, wherein each imaging study comprises one or more images and a textual report associated with the one or more images; select a key image from each of the plurality of imaging studies; extract one or more discriminating image features from a region of interest within the key image; process the textual report associated with the one or more images to detect one or more concept labels; assign an initial label from the one or more concept labels to the one or more discriminating image features; and learn an association between each of the one or more discriminating image features and the one or more concept labels; wherein learning the association between each of the one or more discriminating image features and the one or more concept labels comprises executing a convex optimization learning algorithm. 17. The computer system of claim 13 , wherein the plurality of imaging studies are echocardiogram studies and the region of interest is a Doppler spectrum. | 0.665948 |
8,321,463 | 1 | 2 | 1. A method performed by one or more server devices, comprising: receiving a request for comments associated with a particular document; identifying, at a processor associated with the one or more server devices, a comment associated with the particular document; generating, using a processor associated with the one or more server devices, an objective score for the comment, where the objective score is independent of a user associated with the request; identifying, using a processor associated with the one or more server devices, the user associated with the request; generating, using a processor associated with the one or more server devices, a subjective score for the comment based on the identified user; generating, using a processor associated with the one or more server devices, a combined score for the comment by combining the objective score and the subjective score; and providing the comment, ranked based on the combined score, to a client device associated with the user for presentation with the particular document. | 1. A method performed by one or more server devices, comprising: receiving a request for comments associated with a particular document; identifying, at a processor associated with the one or more server devices, a comment associated with the particular document; generating, using a processor associated with the one or more server devices, an objective score for the comment, where the objective score is independent of a user associated with the request; identifying, using a processor associated with the one or more server devices, the user associated with the request; generating, using a processor associated with the one or more server devices, a subjective score for the comment based on the identified user; generating, using a processor associated with the one or more server devices, a combined score for the comment by combining the objective score and the subjective score; and providing the comment, ranked based on the combined score, to a client device associated with the user for presentation with the particular document. 2. The method of claim 1 , where the comment comprises a data structure that includes an address field, and the comment is identified based on an entry in the address field matching an address associated with the particular document. | 0.848307 |
8,407,169 | 22 | 25 | 22. The system according to claim 1 wherein said structured representation of rules further comprises: a binder function enabled to generate a conclusion fact or set of facts from the fact or facts corresponding to a premise node or node group. | 22. The system according to claim 1 wherein said structured representation of rules further comprises: a binder function enabled to generate a conclusion fact or set of facts from the fact or facts corresponding to a premise node or node group. 25. The system according to claim 22 wherein said structured representation of rules further comprises: a conclusion node group further comprising an antecedent node group, a consequent node group. | 0.5 |
9,020,941 | 8 | 14 | 8. A system of geocoding an address, comprising: an address parser, configured to receive an address term comprising a region and a feature, and split the address term into the region and the feature, the feature including two or more components, and to splitting the feature into two or more separate components, wherein each separate components includes at least one component, and each separate component is different from each other separate component, and a geocoder configured, for each separate component from the feature, to determine a respective component geocode representing a location of a component and an associated component confidence score by: (a) determining at least one geocode based on the region and the component, (b) determining the respective component geocode representing the location of the component based on the at least one geocode determined in (a), and (c) determining a component confidence score for the respective component geocode inversely related to a number of geocodes determined in (a) for the component; and a geocode confidence analyzer configured to select an address geocode representing a location of the address term as the component geocode determined by the geocoder in (b) according to the corresponding component confidence score determined by the geocoder in (c), wherein the address parser, geocoder, and geocode confidence analyzer are implemented on at least one computing device. | 8. A system of geocoding an address, comprising: an address parser, configured to receive an address term comprising a region and a feature, and split the address term into the region and the feature, the feature including two or more components, and to splitting the feature into two or more separate components, wherein each separate components includes at least one component, and each separate component is different from each other separate component, and a geocoder configured, for each separate component from the feature, to determine a respective component geocode representing a location of a component and an associated component confidence score by: (a) determining at least one geocode based on the region and the component, (b) determining the respective component geocode representing the location of the component based on the at least one geocode determined in (a), and (c) determining a component confidence score for the respective component geocode inversely related to a number of geocodes determined in (a) for the component; and a geocode confidence analyzer configured to select an address geocode representing a location of the address term as the component geocode determined by the geocoder in (b) according to the corresponding component confidence score determined by the geocoder in (c), wherein the address parser, geocoder, and geocode confidence analyzer are implemented on at least one computing device. 14. The system of claim 8 , wherein the geocoder determines the component geocode as a centroid of the geocodes determined by the geocoder for the component. | 0.558989 |
9,894,415 | 21 | 24 | 21. The method of claim 16 wherein the media event data is received by the data manager system from a portable communication device through an application program interface. | 21. The method of claim 16 wherein the media event data is received by the data manager system from a portable communication device through an application program interface. 24. The method of claim 21 wherein the rendered data is presented on a networked media playback device, communication device, network database, web service, or electronic television programming guide. | 0.5 |
9,037,579 | 1 | 10 | 1. A method implemented by a processor, comprising: extracting, by the processor, grouping information from a semantic layer associated with one or more business intelligence artifacts, wherein the grouping information includes hierarchical information, dimensions, measures, filters, prompts, a list of values, or a combination thereof; inferring at least one dynamic hierarchy that has not been previously defined by at least merging the grouping information stored in multiple documents to generate an index document; prior to performing a search, dynamically linking, by the processor, facets based at least in part on the index document to generate one or more hierarchical facets, wherein the facets are categories generated from the one or more business intelligence artifacts, wherein dynamically linking the facets comprises adding one or more mapping files to a content store for storing mappings of multiple child facets to one or more corresponding parent facets; performing, by the processor, the search to generate results of the search; incorporating, by the processor, the one or more hierarchical facets in the results of the search to facilitate navigation by combining the results of the search and the one or more hierarchical facets in a data format; and presenting, via an output device, the results of the search and the one or more incorporated hierarchical facets. | 1. A method implemented by a processor, comprising: extracting, by the processor, grouping information from a semantic layer associated with one or more business intelligence artifacts, wherein the grouping information includes hierarchical information, dimensions, measures, filters, prompts, a list of values, or a combination thereof; inferring at least one dynamic hierarchy that has not been previously defined by at least merging the grouping information stored in multiple documents to generate an index document; prior to performing a search, dynamically linking, by the processor, facets based at least in part on the index document to generate one or more hierarchical facets, wherein the facets are categories generated from the one or more business intelligence artifacts, wherein dynamically linking the facets comprises adding one or more mapping files to a content store for storing mappings of multiple child facets to one or more corresponding parent facets; performing, by the processor, the search to generate results of the search; incorporating, by the processor, the one or more hierarchical facets in the results of the search to facilitate navigation by combining the results of the search and the one or more hierarchical facets in a data format; and presenting, via an output device, the results of the search and the one or more incorporated hierarchical facets. 10. The method of claim 1 wherein incorporating the one or more hierarchical facets in the search results comprises: performing the search in response to a search request; and retrieving the one or more dynamically linked parent facets corresponding to a child category. | 0.60177 |
8,923,608 | 28 | 29 | 28. A system for evaluating training data comprising: memory which receives training data to be evaluated for use in training a classifier, the training data including labeled digital objects that are labeled with respect to a predefined set of classes; a trained categorizer for categorizing the digital objects based on respective representations of the digital objects, the categorizer outputting a score vector comprising a score for each of a predefined set of categories, the set of categories differing from the set of classes; optionally, a clustering component for identifying clusters of the digital objects based on respective score vectors of the digital objects; a metric component which computes metrics for at least one of: label groups, each label group including a set of the digital objects having a common label; category groups, each category group including a set of the digital objects having a common most probable category output by the categorizer; and clusters output by the clustering component; an evaluation component which is configured for applying a set of heuristics to the training data based on the computed metrics, the set of heuristics comprising at least one heuristic selected from the group consisting of: a) a heuristic that identifies overlap between two label groups; b) a heuristic which determines when there is more than one cluster for a label group; c) a heuristic which determines when a label group has a standard deviation which exceeds a standard deviation computed over a plurality of the label groups; d) a heuristic which identifies when a digital object with a label which indicates that the digital object is negative with respect to all classes has a score vector which overlaps at least one label group in which the digital objects are all labeled as positive with respect to a same one of the classes; e) a heuristic which identifies when a digital object with a neutral label with respect to at least one of the classes has a score vector which does not overlap a positive label group in which the digital objects are labeled as positive with respect to the same one of the classes; f) a heuristic which identifies when there is insufficient overlap between unlabeled objects in the training data and the label groups that include digital objects which are labeled as positive with respect to one of the classes; g) a heuristic which identifies when there are unlabeled objects in the training data whose score vectors do not overlap any of the label groups that include digital objects which are labeled as positive with respect to one of the classes; h) a heuristic which identifies when there are unlabeled objects in the training data whose score vectors overlap one of the label groups that include digital objects which are labeled as positive with respect to one of the classes; and i) a heuristic which identifies when there are clusters of labeled objects in the training data that are labeled as negative; a recommendation component for outputting recommendations based on results of the applied heuristics to improve the training data; and a processor which implements the categorizer, clustering component, evaluation component, and recommendation component. | 28. A system for evaluating training data comprising: memory which receives training data to be evaluated for use in training a classifier, the training data including labeled digital objects that are labeled with respect to a predefined set of classes; a trained categorizer for categorizing the digital objects based on respective representations of the digital objects, the categorizer outputting a score vector comprising a score for each of a predefined set of categories, the set of categories differing from the set of classes; optionally, a clustering component for identifying clusters of the digital objects based on respective score vectors of the digital objects; a metric component which computes metrics for at least one of: label groups, each label group including a set of the digital objects having a common label; category groups, each category group including a set of the digital objects having a common most probable category output by the categorizer; and clusters output by the clustering component; an evaluation component which is configured for applying a set of heuristics to the training data based on the computed metrics, the set of heuristics comprising at least one heuristic selected from the group consisting of: a) a heuristic that identifies overlap between two label groups; b) a heuristic which determines when there is more than one cluster for a label group; c) a heuristic which determines when a label group has a standard deviation which exceeds a standard deviation computed over a plurality of the label groups; d) a heuristic which identifies when a digital object with a label which indicates that the digital object is negative with respect to all classes has a score vector which overlaps at least one label group in which the digital objects are all labeled as positive with respect to a same one of the classes; e) a heuristic which identifies when a digital object with a neutral label with respect to at least one of the classes has a score vector which does not overlap a positive label group in which the digital objects are labeled as positive with respect to the same one of the classes; f) a heuristic which identifies when there is insufficient overlap between unlabeled objects in the training data and the label groups that include digital objects which are labeled as positive with respect to one of the classes; g) a heuristic which identifies when there are unlabeled objects in the training data whose score vectors do not overlap any of the label groups that include digital objects which are labeled as positive with respect to one of the classes; h) a heuristic which identifies when there are unlabeled objects in the training data whose score vectors overlap one of the label groups that include digital objects which are labeled as positive with respect to one of the classes; and i) a heuristic which identifies when there are clusters of labeled objects in the training data that are labeled as negative; a recommendation component for outputting recommendations based on results of the applied heuristics to improve the training data; and a processor which implements the categorizer, clustering component, evaluation component, and recommendation component. 29. The system of claim 28 , wherein the system includes at least two heuristics selected from the group of heuristics. | 0.985687 |
9,560,152 | 16 | 18 | 16. A computer system for generating a personalized summary of an online communication session, the computer system comprising: one or more computer processors, one or more computer readable storage media, program instructions stored on the computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising: program instructions to receive a particular topic and summary information for each of one or more episodes of a current online communication session, and information regarding topics of interests for each member of a group of users, wherein content of the current online communication session is generated by members of the group of users; program instructions to receive a pictorial representation of the particular topic for the one or more episodes of the current online communication session, wherein determining the pictorial representation of each episode of the one or more episodes of the current online communication session is based on the particular topic of each episode; and program instructions to generate a summary of the current online communication session that is personalized for members of the group of users, wherein the program instructions to generate the summary that is personalized includes: program instructions to determine a level of interest in a first topic of a first episode and a second topic of a second episode, of the one or more episodes of the current online communication session, for a member of the group of users, based on one or a combination of: an amount of participation and contribution by the member of the group of users during the current online communication session, an amount of participation and contribution by the member of the group of users during previous online communication sessions that include the first topic, and interest preferences input by the member of the group of users; program instructions to list the summary and pictorial representation of the one or more episodes of the current online communication session in an order that corresponds to the level of interest in a first topic of a first episode and a second topic of a second episode, of the one or more episodes of the current online communication session held by the member of the group of users; and responsive to determining the level of interest held by the member of the group of users, for the first topic of the first episode of the one or more episodes, to be greater than the level of interest held by the member of the group of users for the second topic of the second episode of the one or more episodes, program instructions to provide a complete summary of the first topic of the first episode positioned before a condensed summary of the second topic of the second episode. | 16. A computer system for generating a personalized summary of an online communication session, the computer system comprising: one or more computer processors, one or more computer readable storage media, program instructions stored on the computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising: program instructions to receive a particular topic and summary information for each of one or more episodes of a current online communication session, and information regarding topics of interests for each member of a group of users, wherein content of the current online communication session is generated by members of the group of users; program instructions to receive a pictorial representation of the particular topic for the one or more episodes of the current online communication session, wherein determining the pictorial representation of each episode of the one or more episodes of the current online communication session is based on the particular topic of each episode; and program instructions to generate a summary of the current online communication session that is personalized for members of the group of users, wherein the program instructions to generate the summary that is personalized includes: program instructions to determine a level of interest in a first topic of a first episode and a second topic of a second episode, of the one or more episodes of the current online communication session, for a member of the group of users, based on one or a combination of: an amount of participation and contribution by the member of the group of users during the current online communication session, an amount of participation and contribution by the member of the group of users during previous online communication sessions that include the first topic, and interest preferences input by the member of the group of users; program instructions to list the summary and pictorial representation of the one or more episodes of the current online communication session in an order that corresponds to the level of interest in a first topic of a first episode and a second topic of a second episode, of the one or more episodes of the current online communication session held by the member of the group of users; and responsive to determining the level of interest held by the member of the group of users, for the first topic of the first episode of the one or more episodes, to be greater than the level of interest held by the member of the group of users for the second topic of the second episode of the one or more episodes, program instructions to provide a complete summary of the first topic of the first episode positioned before a condensed summary of the second topic of the second episode. 18. The computer system of claim 16 , further comprising: program instructions for a member of the group of users to indicate a preference between viewing the summary of an episode of the one or more episodes of the current online communication session that is personalized as a detailed summary, and viewing the summary that is personalized as a condensed summary. | 0.719662 |
9,583,104 | 15 | 18 | 15. A processing system comprising: a memory for storing executable program code; and a processor, functionally coupled to the memory, the processor being responsive to computer-executable instructions contained in the program code and operative to: determine whether natural language functionality of the processing system is activated, the natural language functionality for enabling the processing system to interpret natural language requests; generate one or more intent frames in response to a determination that the natural language functionality of the processing system is activated, each of the one or more intent frames including at least one carrier phrase and at least one slot, and each of the one or more intent frames indicating a form of request that is supported by the natural language functionality of the processing system; generate at least one of the one or more intent frames based on one or more topics that are accessed by the user with respect to a software application; and cause the one or more intent frames to be displayed. | 15. A processing system comprising: a memory for storing executable program code; and a processor, functionally coupled to the memory, the processor being responsive to computer-executable instructions contained in the program code and operative to: determine whether natural language functionality of the processing system is activated, the natural language functionality for enabling the processing system to interpret natural language requests; generate one or more intent frames in response to a determination that the natural language functionality of the processing system is activated, each of the one or more intent frames including at least one carrier phrase and at least one slot, and each of the one or more intent frames indicating a form of request that is supported by the natural language functionality of the processing system; generate at least one of the one or more intent frames based on one or more topics that are accessed by the user with respect to a software application; and cause the one or more intent frames to be displayed. 18. The processing system of claim 15 , wherein the processor is further operative to provide at least one of the one or more intent frames for perception by the user based on a request not being received by the processing system since a time instance at which the natural language functionality of the processing system is activated. | 0.539945 |
10,110,847 | 10 | 15 | 10. The program image creation method according to claim 1 , wherein the predetermined location is fixed such that the avatar remains in the predetermined location. | 10. The program image creation method according to claim 1 , wherein the predetermined location is fixed such that the avatar remains in the predetermined location. 15. The program image creation apparatus according to claim 10 , wherein the voice input comprises a voice conversion apparatus that converts an input document to a voice to generate an electronic voice. | 0.5 |
8,200,648 | 35 | 36 | 35. The method according to claim 32 and wherein said enabling also comprises focusing on interesting parts of a current portion of said query digital media, wherein said interesting parts are defined by said importance scores. | 35. The method according to claim 32 and wherein said enabling also comprises focusing on interesting parts of a current portion of said query digital media, wherein said interesting parts are defined by said importance scores. 36. The device The method according to claim 35 and wherein said focusing comprises at least one of: cropping the uninteresting parts of said current portion; changing the temporal length of the video sequence; playing only said interesting parts of said current portion; and changing the display size to one of the following: the size of a mobile phone screen, a movie screen, a TV screen, an MP player screen, a portable screen, a thumbnail and an image preview. | 0.5 |
6,155,834 | 49 | 51 | 49. The article of manufacture according to claim 48, further comprising: said computer-readable program code means for adjusting the difficulty level of the test presented by said computer-readable program code means for presenting by adjusting the duration of the show interval if the interactive process is the show only process or the show and say process; said computer-readable program code means for calculating student performance based on the duration of the show interval, an average percent correct of all past student responses recorded by said computer-readable program code means for recording, the difficulty level of the interactive process presented by said computer-readable program code means for presenting, and the response time measured by said computer-readable program code means for measuring. | 49. The article of manufacture according to claim 48, further comprising: said computer-readable program code means for adjusting the difficulty level of the test presented by said computer-readable program code means for presenting by adjusting the duration of the show interval if the interactive process is the show only process or the show and say process; said computer-readable program code means for calculating student performance based on the duration of the show interval, an average percent correct of all past student responses recorded by said computer-readable program code means for recording, the difficulty level of the interactive process presented by said computer-readable program code means for presenting, and the response time measured by said computer-readable program code means for measuring. 51. The article of manufacture according to claim 49, said computer-readable program code means for adjusting the duration of the show interval adjusting the duration of the show interval based on the student performance and/or student age. | 0.737991 |
7,623,711 | 1 | 6 | 1. A method comprising: identifying, by a processor, spatial relationships between document objects of a document image; determining, by a processor, space separating pairs of neighboring document objects, wherein the space separating pairs of neighboring document objects is represented as weights in a weighted graph model; and determining, by a processor, a scaling factor based on the space separating the document objects in the document image and based on display device characteristics. | 1. A method comprising: identifying, by a processor, spatial relationships between document objects of a document image; determining, by a processor, space separating pairs of neighboring document objects, wherein the space separating pairs of neighboring document objects is represented as weights in a weighted graph model; and determining, by a processor, a scaling factor based on the space separating the document objects in the document image and based on display device characteristics. 6. The method defined in claim 1 wherein identifying spatial relationships between the document objects of the document image comprises determining a geometric relationship between two objects sharing an edge in a Voronoi triangulation diagram. | 0.702439 |
8,055,608 | 24 | 26 | 24. The method of claim 1 , wherein the step of scaling further comprises: inverting the non-Quantifier concept when the first scaling value indicates that a negation is to be performed. | 24. The method of claim 1 , wherein the step of scaling further comprises: inverting the non-Quantifier concept when the first scaling value indicates that a negation is to be performed. 26. The method of claim 24 , wherein the first scaling value indicates that a negation is to be performed when the first scaling value is less than zero. | 0.503247 |
8,195,641 | 1 | 6 | 1. A method for authoring an updated database query by a user modifying a view of the results of a database query, the method comprising: generating the view of the results of the database query; providing a user interface for the user to modify the view of the results of the database query to define results of the updated database query, wherein modifying the view of the results of the database query comprises modifying an order of one or more fields shown in the view by dragging the one or more fields to indicate the order, adding a field from a table in the database to the view by dragging the field from the table to the view, filtering the view by indicating at least one field for filtering a plurality of records of the view, and further comprises adding one or more fields in a second table to the view; in response to modifying the view of the results of the database query and adding one or more fields in the second table to the view, generating a query definition based on a modification of the view of the results, wherein the query definition reflects a database join operation for adding the one or more fields in the second table; and running the generated query definition on a database to perform the updated database query. | 1. A method for authoring an updated database query by a user modifying a view of the results of a database query, the method comprising: generating the view of the results of the database query; providing a user interface for the user to modify the view of the results of the database query to define results of the updated database query, wherein modifying the view of the results of the database query comprises modifying an order of one or more fields shown in the view by dragging the one or more fields to indicate the order, adding a field from a table in the database to the view by dragging the field from the table to the view, filtering the view by indicating at least one field for filtering a plurality of records of the view, and further comprises adding one or more fields in a second table to the view; in response to modifying the view of the results of the database query and adding one or more fields in the second table to the view, generating a query definition based on a modification of the view of the results, wherein the query definition reflects a database join operation for adding the one or more fields in the second table; and running the generated query definition on a database to perform the updated database query. 6. The method of claim 1 , further comprising providing a user interface for defining and executing an action query based upon the query definition, the action query comprising one of a delete query, an update query, an append query, or a make table query. | 0.542857 |
7,606,785 | 1 | 8 | 1. A machine implemented method, comprising: receiving a set of rules, specifying actions to be taken in response to finding specific types of input data and a format of an output t-box; receiving a first set of input information, in a format satisfying the rules; wherein the input information has sufficient structure to enable rules to be applied to the input information to determine individual fields therefrom; generating from the first set of input information and the set of rules a t-box comprising categories and relationships about categories, and an a-box comprising assertions of individual instances of the categories of the t-box, wherein the a-box is generated by applying the set of rules to the first set of input information, and wherein the t-box and the a-box are generated concurrently such that the a-box is generated while the t-box is being generated; generating a Web Ontology Language (“OWL”) database using the a-box and the t-box; and generating a knowledge base based on OWL statements of the OWL database, wherein the method is performed by a computer executing program instructions. | 1. A machine implemented method, comprising: receiving a set of rules, specifying actions to be taken in response to finding specific types of input data and a format of an output t-box; receiving a first set of input information, in a format satisfying the rules; wherein the input information has sufficient structure to enable rules to be applied to the input information to determine individual fields therefrom; generating from the first set of input information and the set of rules a t-box comprising categories and relationships about categories, and an a-box comprising assertions of individual instances of the categories of the t-box, wherein the a-box is generated by applying the set of rules to the first set of input information, and wherein the t-box and the a-box are generated concurrently such that the a-box is generated while the t-box is being generated; generating a Web Ontology Language (“OWL”) database using the a-box and the t-box; and generating a knowledge base based on OWL statements of the OWL database, wherein the method is performed by a computer executing program instructions. 8. The method of claim 1 , wherein receiving a first set of input information further comprises: reading the first set of input information from a database. | 0.883408 |
10,062,039 | 1 | 8 | 1. A non-transitory medium storing code representing a plurality of processor-executable instructions, the code comprising code to cause the processor to: execute a machine-assisted iterative search over a data corpus via an asynchronous and interactive machine learning system; receive, via a user interface, a first series of tag signals, each tag signal from the first series indicating a membership relation between at least one data object from the data corpus and at least one tag target from a non-empty set of tag targets; the code to execute includes: select a seed set from a first set of data objects upon a determination that a number of data objects from the first set of data objects having a membership relation with a single tag target from the non-empty set of tag targets has reached a predetermined threshold corresponding to a number of elements of a training set; and train a machine learning model based on the seed set to identify further data objects from the data corpus predicted to have a membership relation with the single tag target; receive, via the user interface, a second series of tag signals, each tag signal from the second series indicating a membership relation between at least one data object from a second set of data objects and at least one tag target from the non-empty set of tag targets, the second set of data objects includes at least one data object predicted by the machine learning model as having a membership relation with the single tag target; the code to execute includes: calculate a membership score for each data object from the second set of data objects, the membership score corresponding to a predicted membership degree with respect to the single tag target; divide a membership scale of the single tag target into a number of 2b non-overlapping intervals of equal length with b positive non-overlapping intervals defined by a pair of positive endpoint numbers and b negative non-overlapping intervals defined by a pair of negative endpoint numbers, b corresponding to a number of score buckets of a histogram distribution; partition the second set of data objects into a number of training subsets equal to 2b+1, the training subsets including: (1) a training subset having all data objects from the second set of data objects whose membership relation with respect to the single tag target is undefined, (2) a first set of training subsets with b training subsets, each training subset from the first set of training subsets having data objects with membership scores within a positive non-overlapping interval from the b positive non-overlapping intervals, (3) a second set of training subsets with b training subsets, each training subset from the second set of training subsets having data objects with membership scores within a negative non-overlapping interval from the b negative non-overlapping intervals; and re-train the machine learning model based on data objects included in the training subset, the first set of training subsets, and the second set of training subsets; display at the user interface, via the asynchronous and interactive machine learning system and based on the re-trained machine learning model, a document object from the data corpus with a magnitude value corresponding to a membership degree between the document object and at least one tag target from the non-empty set of tag targets; and enable a user, via the asynchronous and interactive machine learning system, to provide feedback to the machine learning model via an accept input, a dismiss input, an input to modify sections in the document object or an input to modify magnitude values corresponding to membership degrees causing the machine learning model to improve based on the feedback. | 1. A non-transitory medium storing code representing a plurality of processor-executable instructions, the code comprising code to cause the processor to: execute a machine-assisted iterative search over a data corpus via an asynchronous and interactive machine learning system; receive, via a user interface, a first series of tag signals, each tag signal from the first series indicating a membership relation between at least one data object from the data corpus and at least one tag target from a non-empty set of tag targets; the code to execute includes: select a seed set from a first set of data objects upon a determination that a number of data objects from the first set of data objects having a membership relation with a single tag target from the non-empty set of tag targets has reached a predetermined threshold corresponding to a number of elements of a training set; and train a machine learning model based on the seed set to identify further data objects from the data corpus predicted to have a membership relation with the single tag target; receive, via the user interface, a second series of tag signals, each tag signal from the second series indicating a membership relation between at least one data object from a second set of data objects and at least one tag target from the non-empty set of tag targets, the second set of data objects includes at least one data object predicted by the machine learning model as having a membership relation with the single tag target; the code to execute includes: calculate a membership score for each data object from the second set of data objects, the membership score corresponding to a predicted membership degree with respect to the single tag target; divide a membership scale of the single tag target into a number of 2b non-overlapping intervals of equal length with b positive non-overlapping intervals defined by a pair of positive endpoint numbers and b negative non-overlapping intervals defined by a pair of negative endpoint numbers, b corresponding to a number of score buckets of a histogram distribution; partition the second set of data objects into a number of training subsets equal to 2b+1, the training subsets including: (1) a training subset having all data objects from the second set of data objects whose membership relation with respect to the single tag target is undefined, (2) a first set of training subsets with b training subsets, each training subset from the first set of training subsets having data objects with membership scores within a positive non-overlapping interval from the b positive non-overlapping intervals, (3) a second set of training subsets with b training subsets, each training subset from the second set of training subsets having data objects with membership scores within a negative non-overlapping interval from the b negative non-overlapping intervals; and re-train the machine learning model based on data objects included in the training subset, the first set of training subsets, and the second set of training subsets; display at the user interface, via the asynchronous and interactive machine learning system and based on the re-trained machine learning model, a document object from the data corpus with a magnitude value corresponding to a membership degree between the document object and at least one tag target from the non-empty set of tag targets; and enable a user, via the asynchronous and interactive machine learning system, to provide feedback to the machine learning model via an accept input, a dismiss input, an input to modify sections in the document object or an input to modify magnitude values corresponding to membership degrees causing the machine learning model to improve based on the feedback. 8. The non-transitory medium of claim 1 , wherein the membership relation of the number of data objects from the seed set having the membership relation with the single tag target from the non-empty set of tag targets indicates a positive membership relation. | 0.904003 |
7,707,566 | 7 | 12 | 7. The one or more computer-readable media of claim 1 wherein the architecture is combinable with the one or more software development components. | 7. The one or more computer-readable media of claim 1 wherein the architecture is combinable with the one or more software development components. 12. The one or more computer-readable media of claim 7 wherein the plurality of different software development tools comprises a native compiler. | 0.588068 |
7,574,512 | 8 | 11 | 8. A method of communicating between an end automation device having a full or emulated HTTP server and a personal computer in an Ethernet environment comprising the following computer implemented steps: sending an HTTP request message from said personal computer to a process that encapsulates said HTTP request message in a MODBUS type protocol; transmitting said request message to said automation device; responding to said request message by said automation device with a reply message using the MODBUS type protocol; transmitting said reply message to said process; reformatting said reply message such that the message is encoded in HTTP; sending the reformatted reply message to said personal computer. | 8. A method of communicating between an end automation device having a full or emulated HTTP server and a personal computer in an Ethernet environment comprising the following computer implemented steps: sending an HTTP request message from said personal computer to a process that encapsulates said HTTP request message in a MODBUS type protocol; transmitting said request message to said automation device; responding to said request message by said automation device with a reply message using the MODBUS type protocol; transmitting said reply message to said process; reformatting said reply message such that the message is encoded in HTTP; sending the reformatted reply message to said personal computer. 11. The method of claim 8 wherein the HTTP request message uses HTML. | 0.61236 |
9,213,707 | 16 | 22 | 16. A computer implemented system for interrelating a plurality of source data files and providing access to said interrelated source data files, comprising: at least one processor; a non-transitory computer readable storage medium communicatively coupled to said at least one processor, said non-transitory computer readable storage medium configured to store a parsing component and an interrelated data integration application; said parsing component executable by said at least one processor, said parsing component configured to compile a configuration language and generate file descriptors usable by said interrelated data integration application, said configuration language configured to define: a lineage relationship between said source data files, each of said source data files containing one or more of a plurality of records, wherein said source data files are graphically related to each other in a tree structure using an array of symbols; one or more adopt key fields, wherein a common one of said one or more adopt key fields is configured to relate each child file containing one or more child file records to a corresponding parent file containing one or more parent file records in said tree structure; one or more order key fields configured to define ordering criteria for said records of one or more of said source data files; and one or more predetermined subprograms configured to process instances of one or more of said records from said source data files, a start point of one of a sequence and a subsequence of said records of said source data files, and an end point of said one of said sequence and said subsequence of said records of said source data files; said interrelated data integration application executable by said at least one processor, said interrelated data integration application configured to sort and access said records in said source data files according to a graphical representation of said lineage relationship between said source data files defined in said configuration language, wherein said interrelated data integration application comprises: an interlinear sort component configured to sort said each of said source data files based on one or more of said lineage relationship, said one or more order key fields, and said one or more adopt key fields defined in said configuration language, and attach a position number to each of said records of said each of said source data files; and an interrelated data access component configured to access said records in said source data files reordered by said interlinear sort component based on said lineage relationship between said source data files, and use said position number to determine access of a subsequent one of said records; and a display, outputting on a user device responsive to a user request at runtime a set of records comprising a common lineage relationship. | 16. A computer implemented system for interrelating a plurality of source data files and providing access to said interrelated source data files, comprising: at least one processor; a non-transitory computer readable storage medium communicatively coupled to said at least one processor, said non-transitory computer readable storage medium configured to store a parsing component and an interrelated data integration application; said parsing component executable by said at least one processor, said parsing component configured to compile a configuration language and generate file descriptors usable by said interrelated data integration application, said configuration language configured to define: a lineage relationship between said source data files, each of said source data files containing one or more of a plurality of records, wherein said source data files are graphically related to each other in a tree structure using an array of symbols; one or more adopt key fields, wherein a common one of said one or more adopt key fields is configured to relate each child file containing one or more child file records to a corresponding parent file containing one or more parent file records in said tree structure; one or more order key fields configured to define ordering criteria for said records of one or more of said source data files; and one or more predetermined subprograms configured to process instances of one or more of said records from said source data files, a start point of one of a sequence and a subsequence of said records of said source data files, and an end point of said one of said sequence and said subsequence of said records of said source data files; said interrelated data integration application executable by said at least one processor, said interrelated data integration application configured to sort and access said records in said source data files according to a graphical representation of said lineage relationship between said source data files defined in said configuration language, wherein said interrelated data integration application comprises: an interlinear sort component configured to sort said each of said source data files based on one or more of said lineage relationship, said one or more order key fields, and said one or more adopt key fields defined in said configuration language, and attach a position number to each of said records of said each of said source data files; and an interrelated data access component configured to access said records in said source data files reordered by said interlinear sort component based on said lineage relationship between said source data files, and use said position number to determine access of a subsequent one of said records; and a display, outputting on a user device responsive to a user request at runtime a set of records comprising a common lineage relationship. 22. The computer implemented system of claim 16 , wherein said interlinear sort component is further configured to sort said each of said source data files that has no parent file on an order key field of said each of said source data files. | 0.863224 |
8,331,655 | 19 | 26 | 19. A learning apparatus for a pattern detector, which includes a plurality of weak classifiers and detects a specific pattern from input data by classifications of the plurality of weak classifiers, comprising: a model generation unit configured to generate a weak classifier model as a basis of a weak classifier based on a plurality of data for learning, in each of which whether or not the specific pattern is included is given; an update unit configured to update state parameters of a weak classifier generated based on the weak classifier model generated by the model generation unit until the weak classifier satisfies a predetermined performance; and a management unit configured to manage an update history of the state parameters of the weak classifier in each stage updated by the update unit, wherein the update unit selects and updates a state parameter of a stage to be updated of the weak classifier from the update history managed by the management unit based on a performance evaluation result of the weak classifier. | 19. A learning apparatus for a pattern detector, which includes a plurality of weak classifiers and detects a specific pattern from input data by classifications of the plurality of weak classifiers, comprising: a model generation unit configured to generate a weak classifier model as a basis of a weak classifier based on a plurality of data for learning, in each of which whether or not the specific pattern is included is given; an update unit configured to update state parameters of a weak classifier generated based on the weak classifier model generated by the model generation unit until the weak classifier satisfies a predetermined performance; and a management unit configured to manage an update history of the state parameters of the weak classifier in each stage updated by the update unit, wherein the update unit selects and updates a state parameter of a stage to be updated of the weak classifier from the update history managed by the management unit based on a performance evaluation result of the weak classifier. 26. The apparatus according to claim 19 , wherein the update unit selects a state parameter of a stage to be updated of the weak classifier from the update history based on one of an evaluation function which exhibits a lowest value when a difference between states of the weak classifier model generated by the model generation unit and the weak classifier falls within a predetermined range, a detection performance of the weak classifier, and an arithmetic speed, or a calculation result of an evaluation function which includes these elements and is used to comprehensively evaluate a performance of the weak classifier, upon updating the state parameter of the weak classifier. | 0.5 |
9,733,716 | 14 | 22 | 14. A method, comprising: at an electronic device having a touch-sensitive surface: displaying one or more views of a plurality of views, wherein: a first view of the one or more displayed views includes a plurality of gesture recognizers; the plurality of gesture recognizers in the first view includes one or more proxy gesture recognizers and one or more non-proxy gesture recognizers; each gesture recognizer indicates one of a plurality of predefined states; and a first proxy gesture recognizer in the first view has a state that corresponds to a state of a respective non-proxy gesture recognizer that is not in the first view; wherein the state of the first proxy gesture recognizer and the corresponding state of the respective non-proxy gesture recognizer are both selected from a same set of predefined states; detecting a sequence of one or more sub-events; delivering a respective sub-event to the respective non-proxy gesture recognizer that is not in the first view and at least a subset of the one or more non-proxy gesture recognizers in the first view; and processing the respective sub-event with at least one of the one or more non-proxy gesture recognizers in the first view in accordance with states of the first proxy gesture recognizer and at least the subset of the one or more non-proxy gesture recognizers in the first view. | 14. A method, comprising: at an electronic device having a touch-sensitive surface: displaying one or more views of a plurality of views, wherein: a first view of the one or more displayed views includes a plurality of gesture recognizers; the plurality of gesture recognizers in the first view includes one or more proxy gesture recognizers and one or more non-proxy gesture recognizers; each gesture recognizer indicates one of a plurality of predefined states; and a first proxy gesture recognizer in the first view has a state that corresponds to a state of a respective non-proxy gesture recognizer that is not in the first view; wherein the state of the first proxy gesture recognizer and the corresponding state of the respective non-proxy gesture recognizer are both selected from a same set of predefined states; detecting a sequence of one or more sub-events; delivering a respective sub-event to the respective non-proxy gesture recognizer that is not in the first view and at least a subset of the one or more non-proxy gesture recognizers in the first view; and processing the respective sub-event with at least one of the one or more non-proxy gesture recognizers in the first view in accordance with states of the first proxy gesture recognizer and at least the subset of the one or more non-proxy gesture recognizers in the first view. 22. The method of claim 14 , wherein: the one or more non-proxy gesture recognizers in the first view and the respective non-proxy gesture recognizer that is not in the first view are associated with a same software application. | 0.742664 |
9,092,478 | 35 | 39 | 35. The system of claim 31 , wherein searching one or more business objects data sources to identify data items of the plurality of data items stored in each of the searched one or more business objects data sources for data items that satisfy the identified metadata comprises identifying a plurality of tuples, each tuple including a first metadata portion and a second metadata portion, each of which satisfies the respective query term. | 35. The system of claim 31 , wherein searching one or more business objects data sources to identify data items of the plurality of data items stored in each of the searched one or more business objects data sources for data items that satisfy the identified metadata comprises identifying a plurality of tuples, each tuple including a first metadata portion and a second metadata portion, each of which satisfies the respective query term. 39. The system of claim 35 , the operations further comprising ranking the plurality of tuples according to a relevance to the search query. | 0.709544 |
9,317,491 | 1 | 5 | 1. A method of generating an adaptable and interactive network document, comprising: extracting a visual layout of an interactive network document having a plurality of discrete interactive elements and published in a network accessible storage to be available to a plurality of web browsers installed on a plurality of client terminals; automatically calculating for said extracted visual layout, plurality of relative arrangement rules ranked according to an hierarchical order each one of said plurality of relative arrangement rules defining a relation between a layout parameter of one of said plurality of discrete interactive elements and a respective layout parameter of another of said plurality of discrete interactive elements; storing said plurality of relative arrangement rules in association with said interactive network document; receiving instructions to change said visual layout; and applying said instructions to change said visual layout of said interactive network document for generating accordingly a layout adjusted interactive network document having an adapted version of said visual layout wherein layout parameters of said plurality of discrete interactive elements are adapted according to said instructions such that said plurality of discrete interactive elements comply with said plurality of relative arrangement rules in said hierarchical order; and replacing said interactive network document with said layout adjusted interactive network document in said network accessible storage such that said layout adjusted interactive network document is available to said plurality of web browsers. | 1. A method of generating an adaptable and interactive network document, comprising: extracting a visual layout of an interactive network document having a plurality of discrete interactive elements and published in a network accessible storage to be available to a plurality of web browsers installed on a plurality of client terminals; automatically calculating for said extracted visual layout, plurality of relative arrangement rules ranked according to an hierarchical order each one of said plurality of relative arrangement rules defining a relation between a layout parameter of one of said plurality of discrete interactive elements and a respective layout parameter of another of said plurality of discrete interactive elements; storing said plurality of relative arrangement rules in association with said interactive network document; receiving instructions to change said visual layout; and applying said instructions to change said visual layout of said interactive network document for generating accordingly a layout adjusted interactive network document having an adapted version of said visual layout wherein layout parameters of said plurality of discrete interactive elements are adapted according to said instructions such that said plurality of discrete interactive elements comply with said plurality of relative arrangement rules in said hierarchical order; and replacing said interactive network document with said layout adjusted interactive network document in said network accessible storage such that said layout adjusted interactive network document is available to said plurality of web browsers. 5. The method of claim 1 , wherein said extracting comprises receiving user instructions indicative of said visual layout on a webpage design platform. | 0.773273 |
8,442,496 | 15 | 17 | 15. A non-transitory computer-readable storage medium comprising instructions that, when executed by a processor, cause the processor to perform operations comprising: receiving a call for a called party at the voicemail system, the voicemail system comprising a stored language preference for the called party; prompting a calling party to leave a message; creating the message; providing a plurality of calling-party-selected language preferences; prompting the calling party to select, from the plurality of calling-party-selected language preferences, a calling-party-selected language preference for the message; in response to prompting the calling party to select, from the plurality of calling-party-selected language preferences, the calling-party-selected language preference for the message, receiving the calling-party-selected language preference for the message; overriding the stored language preference for the called party with the calling-party-selected language preference; determining whether the message is in the calling-party-selected language preference; and in response to overriding the stored language preference with the calling-party-selected language preference, and if the message is not in the calling-party-selected preferred language identified by the language preference, translating the message into a preferred language of the calling-party-selected preferred language preference, thereby creating a translated message. | 15. A non-transitory computer-readable storage medium comprising instructions that, when executed by a processor, cause the processor to perform operations comprising: receiving a call for a called party at the voicemail system, the voicemail system comprising a stored language preference for the called party; prompting a calling party to leave a message; creating the message; providing a plurality of calling-party-selected language preferences; prompting the calling party to select, from the plurality of calling-party-selected language preferences, a calling-party-selected language preference for the message; in response to prompting the calling party to select, from the plurality of calling-party-selected language preferences, the calling-party-selected language preference for the message, receiving the calling-party-selected language preference for the message; overriding the stored language preference for the called party with the calling-party-selected language preference; determining whether the message is in the calling-party-selected language preference; and in response to overriding the stored language preference with the calling-party-selected language preference, and if the message is not in the calling-party-selected preferred language identified by the language preference, translating the message into a preferred language of the calling-party-selected preferred language preference, thereby creating a translated message. 17. The non-transitory computer-readable storage medium of claim 15 , wherein the medium is a component of a user device. | 0.859954 |
10,052,769 | 4 | 6 | 4. The humanoid robot of claim 1 , wherein an input in said at least one recognition module applies to text or voice inputs and activates a grammar in said dialog module. | 4. The humanoid robot of claim 1 , wherein an input in said at least one recognition module applies to text or voice inputs and activates a grammar in said dialog module. 6. The humanoid robot of claim 4 , wherein said at least one recognition module includes a first and a second submodules, the first submodule operating on a closed list of words linked to at least one concept and the second submodule operating on an open list of words. | 0.5 |
8,762,962 | 15 | 20 | 15. An apparatus including electronic computer hardware in combination with software, for automatic translation of a computer program language code, the apparatus comprising: a tokenizer configured to tokenize one or more characters of a source programming language code to generate a list of tokens; a parser configured to parse the list of tokens to generate a grammatical data structure, wherein the grammatical data structure comprises one or more data nodes; a generator configured to process the one or more data nodes of the grammatical data structure to generate a document object model, wherein the document object model comprises one or more portable data nodes; and an analyzer configured to process the one or more portable data nodes in the document object model to generate one or more characters of a target programming language code wherein the generator is further configured to: scan the one or more data nodes in the abstract syntax tree to identify one or more metadata nodes having a metadata structure that can be deduced from at least one declaration node; and remove the one or more metadata nodes to generate the one or more portable data nodes having a metadata structure that cannot be deduced from at least one declaration node. | 15. An apparatus including electronic computer hardware in combination with software, for automatic translation of a computer program language code, the apparatus comprising: a tokenizer configured to tokenize one or more characters of a source programming language code to generate a list of tokens; a parser configured to parse the list of tokens to generate a grammatical data structure, wherein the grammatical data structure comprises one or more data nodes; a generator configured to process the one or more data nodes of the grammatical data structure to generate a document object model, wherein the document object model comprises one or more portable data nodes; and an analyzer configured to process the one or more portable data nodes in the document object model to generate one or more characters of a target programming language code wherein the generator is further configured to: scan the one or more data nodes in the abstract syntax tree to identify one or more metadata nodes having a metadata structure that can be deduced from at least one declaration node; and remove the one or more metadata nodes to generate the one or more portable data nodes having a metadata structure that cannot be deduced from at least one declaration node. 20. The apparatus of claim 15 , wherein the grammatical data structure comprises an abstract syntax tree. | 0.834906 |
8,655,645 | 8 | 9 | 8. A computer system comprising: a receiver module configured to receive information associated with each of a plurality of applications, respective applications of the plurality of applications to be included in an online marketplace that makes multiple applications available, the information associated with representative applications of the plurality of applications being in a first language; a translation module configured to translate the information associated with representative applications of the plurality of applications from the first language to a second language different than the first language; a database module configured to store the information associated with the plurality of applications in the first language in a database and to store the information associated with the plurality of applications in the second language in the database; a query module configured to receive a search request in the second language; a search module configured to search the database to produce a set of search results responsive to the search request; and a transmission module configured to transmit the set of search results. | 8. A computer system comprising: a receiver module configured to receive information associated with each of a plurality of applications, respective applications of the plurality of applications to be included in an online marketplace that makes multiple applications available, the information associated with representative applications of the plurality of applications being in a first language; a translation module configured to translate the information associated with representative applications of the plurality of applications from the first language to a second language different than the first language; a database module configured to store the information associated with the plurality of applications in the first language in a database and to store the information associated with the plurality of applications in the second language in the database; a query module configured to receive a search request in the second language; a search module configured to search the database to produce a set of search results responsive to the search request; and a transmission module configured to transmit the set of search results. 9. The computer system of claim 8 , wherein the transmission module is configured to transmit the set of search results in the second language. | 0.853783 |
8,099,313 | 16 | 32 | 16. A task orchestration system for a network of interconnected devices, comprising: a task-driven controller that obtains device function descriptions that describe functions that the devices can perform and obtains task descriptions that describe device functionalities that tasks require from multiple electronic devices of a plurality of electronic devices, wherein the task descriptions are dynamically determined at run-time of the task orchestration system, and generates task suggestions based on the obtained device function, and task descriptions, wherein each task suggestion represents a user task as an abstraction of one or more of the obtained device function and task descriptions; and a user interface device that displays the task suggestion on a display for the user to select from, wherein the user task represented by the selected task suggestion is to be performed by one or more of the devices; wherein the controller further uses the task and device function descriptions to infer the tasks that can be performed by the devices and the device combinations that can perform the selected user task suggestion. | 16. A task orchestration system for a network of interconnected devices, comprising: a task-driven controller that obtains device function descriptions that describe functions that the devices can perform and obtains task descriptions that describe device functionalities that tasks require from multiple electronic devices of a plurality of electronic devices, wherein the task descriptions are dynamically determined at run-time of the task orchestration system, and generates task suggestions based on the obtained device function, and task descriptions, wherein each task suggestion represents a user task as an abstraction of one or more of the obtained device function and task descriptions; and a user interface device that displays the task suggestion on a display for the user to select from, wherein the user task represented by the selected task suggestion is to be performed by one or more of the devices; wherein the controller further uses the task and device function descriptions to infer the tasks that can be performed by the devices and the device combinations that can perform the selected user task suggestion. 32. The system of claim 16 , wherein a device function description comprises device functionality description and device grounding. | 0.862971 |
8,515,183 | 16 | 17 | 16. A computerized system for determining entity associations utilizing images, the system comprising: a processing unit; and a memory for storing computer-executable instructions that when executed by the processing unit executes: an image corpus component configured to create a body of class images representative of relevant entities, wherein relevant entities are people, places or things for which tracking entity associations is desired; a face identifier component configured to detect faces within the body of class images and generate a plurality of vectors representative of summarized facial features of each face detected within the body of class images; a non-people entity identifier component configured to generate a non-people image identifier by creating a summarized representation of relevant non-people entities within the body of class images; an image analyzer component configured to analyze one or more embedded images on a web page, to determine whether a class image occurs in any of the one or more embedded images and which relevant entities appear on the one or more embedded images; and an association component configured to associate the recognized relevant entities of the one or more embedded images of the web page with a URL of the web page on which the relevant entities appear and to associate the recognized relevant entities with an existing anonymous cookie. | 16. A computerized system for determining entity associations utilizing images, the system comprising: a processing unit; and a memory for storing computer-executable instructions that when executed by the processing unit executes: an image corpus component configured to create a body of class images representative of relevant entities, wherein relevant entities are people, places or things for which tracking entity associations is desired; a face identifier component configured to detect faces within the body of class images and generate a plurality of vectors representative of summarized facial features of each face detected within the body of class images; a non-people entity identifier component configured to generate a non-people image identifier by creating a summarized representation of relevant non-people entities within the body of class images; an image analyzer component configured to analyze one or more embedded images on a web page, to determine whether a class image occurs in any of the one or more embedded images and which relevant entities appear on the one or more embedded images; and an association component configured to associate the recognized relevant entities of the one or more embedded images of the web page with a URL of the web page on which the relevant entities appear and to associate the recognized relevant entities with an existing anonymous cookie. 17. The system of claim 16 , wherein the body of class images is created by crawling a plurality of web pages and extracting class images from the plurality of web pages. | 0.5 |
8,914,318 | 10 | 11 | 10. A method of associative relevancy knowledge profiling, comprising: providing at least two known reference sets; selecting at least two of said known reference sets, including at least a first known reference set and a second known reference set; creating, by a machine, at least one association between two of said known reference sets to generate at least part of an associative relevancy knowledge profile, wherein creating said at least one association comprises: receiving a user input wherein the user input represents a user's intention to create an association between said first known reference set and said second known reference set and an association type for the association; and in response to receiving said user input, creating said association with the association type, wherein said association is one of said at least one association; and storing said associative relevancy knowledge profile, wherein said associative relevancy knowledge profile is associated within one or more containers each having at least one predefined constraint that biases at least one of said available known reference sets. | 10. A method of associative relevancy knowledge profiling, comprising: providing at least two known reference sets; selecting at least two of said known reference sets, including at least a first known reference set and a second known reference set; creating, by a machine, at least one association between two of said known reference sets to generate at least part of an associative relevancy knowledge profile, wherein creating said at least one association comprises: receiving a user input wherein the user input represents a user's intention to create an association between said first known reference set and said second known reference set and an association type for the association; and in response to receiving said user input, creating said association with the association type, wherein said association is one of said at least one association; and storing said associative relevancy knowledge profile, wherein said associative relevancy knowledge profile is associated within one or more containers each having at least one predefined constraint that biases at least one of said available known reference sets. 11. The method of claim 10 , further comprising modifying said associative relevancy knowledge profile. | 0.856145 |
8,645,394 | 1 | 2 | 1. A computer-implemented method comprising: accessing a cluster of a plurality of resources associated with a name context; generating a quality score for a resource, the quality score being independent of inclusion of the resource in the cluster and independent of inclusion of other resources in the cluster and indicative of a quality measure of the resource; generating a cluster relation score for the resource, the cluster relation score being dependent on the other resources in the cluster and indicative of an authority of the resource relative to authorities of the other resources in the cluster; generating a resource ranking score for the resource, with the resource ranking score at least partly based on the quality score and the cluster relation score; and ranking the resources in the cluster at least partly based on the resource ranking score. | 1. A computer-implemented method comprising: accessing a cluster of a plurality of resources associated with a name context; generating a quality score for a resource, the quality score being independent of inclusion of the resource in the cluster and independent of inclusion of other resources in the cluster and indicative of a quality measure of the resource; generating a cluster relation score for the resource, the cluster relation score being dependent on the other resources in the cluster and indicative of an authority of the resource relative to authorities of the other resources in the cluster; generating a resource ranking score for the resource, with the resource ranking score at least partly based on the quality score and the cluster relation score; and ranking the resources in the cluster at least partly based on the resource ranking score. 2. The computer-implemented method of claim 1 , wherein the quality score is at least partly based on one or more of a relevance of the resource to the name context, an age attribute of the resource, an authority attribute of the resource, a spam score associated with the resource, and a number of other clusters to which the resource belongs. | 0.689531 |
9,020,861 | 13 | 18 | 13. A system comprising: one or more computers configured to perform a method comprising: presenting a graphical user interface of a web application on a client device, wherein the graphical user interface presents multiple cells in a matrix of cells, wherein each cell is an interactive element; executing a first script found in a first cell of the multiple cells, the first script invoking (i) a first model of a plurality of predictive models using data of a first plurality of the cells to train the first model and (ii) a second model of the plurality of predictive models using the data of the first plurality of the cells to train the second model; and executing a second script found in a second cell of the multiple cells, the second script invoking (i) the trained first model with data from a second plurality of cells as input and using output from the trained first model to determine a value of a third cell in the matrix of cells, and (ii) the trained second model with data from the second plurality of cells as input and using output from the trained second model to determine a value of a fourth cell in the matrix of cells. | 13. A system comprising: one or more computers configured to perform a method comprising: presenting a graphical user interface of a web application on a client device, wherein the graphical user interface presents multiple cells in a matrix of cells, wherein each cell is an interactive element; executing a first script found in a first cell of the multiple cells, the first script invoking (i) a first model of a plurality of predictive models using data of a first plurality of the cells to train the first model and (ii) a second model of the plurality of predictive models using the data of the first plurality of the cells to train the second model; and executing a second script found in a second cell of the multiple cells, the second script invoking (i) the trained first model with data from a second plurality of cells as input and using output from the trained first model to determine a value of a third cell in the matrix of cells, and (ii) the trained second model with data from the second plurality of cells as input and using output from the trained second model to determine a value of a fourth cell in the matrix of cells. 18. The system of claim 13 , wherein the output from the trained first model is a prediction by the trained first model that is based on the data from the second plurality of cells and the output from the trained second model is a prediction by the trained second model that is based on the data from the second plurality of cells. | 0.5 |
8,064,954 | 1 | 3 | 1. A method for a communication device comprising a microphone, a speaker, an input device, a display, and an antenna, said method comprising: a function implementing step in which one or more specific functions are implemented; wherein said communication device implements a voice communicating function and a multiple language function; wherein a voice communication is implemented by utilizing said microphone and said speaker when said voice communicating function is implemented in said step; and wherein a 1st language data and a 2nd language data are pre-stored in said communication device, wherein said 1st language data indicates a 1st language and said 2nd language data indicates a 2nd language, wherein said communication device functions under a 1st language mode or a 2nd language mode when said multiple language function is implemented in said step, wherein said multiple language function is the functionality enabling the user to manipulate said communication device with the user's preferred language by displaying the user interface with the language selected by the user, wherein when said 1st language mode is selected by the user, a first command which is the command for the user to manipulate said communication device in a first manner and a second command which is the command for the user to manipulate said communication device in a second manner are displayed by utilizing said 1st language data, wherein when said 2nd language mode is selected by the user, said first command which is the command for the user to manipulate said communication device in said first manner and said second command which is the command for the user to manipulate said communication device in said second manner are displayed by utilizing said 2nd language data, and wherein when said communication device is powered on after being powered off, said first command and said second command after said communication device is powered on are automatically displayed with said 1st language if said 1st language mode was selected by the user before said communication device was powered off, and said first command and said second command after said communication device is powered on are automatically displayed with said 2nd language if said 2nd language mode was selected by the user before said communication device was powered off. | 1. A method for a communication device comprising a microphone, a speaker, an input device, a display, and an antenna, said method comprising: a function implementing step in which one or more specific functions are implemented; wherein said communication device implements a voice communicating function and a multiple language function; wherein a voice communication is implemented by utilizing said microphone and said speaker when said voice communicating function is implemented in said step; and wherein a 1st language data and a 2nd language data are pre-stored in said communication device, wherein said 1st language data indicates a 1st language and said 2nd language data indicates a 2nd language, wherein said communication device functions under a 1st language mode or a 2nd language mode when said multiple language function is implemented in said step, wherein said multiple language function is the functionality enabling the user to manipulate said communication device with the user's preferred language by displaying the user interface with the language selected by the user, wherein when said 1st language mode is selected by the user, a first command which is the command for the user to manipulate said communication device in a first manner and a second command which is the command for the user to manipulate said communication device in a second manner are displayed by utilizing said 1st language data, wherein when said 2nd language mode is selected by the user, said first command which is the command for the user to manipulate said communication device in said first manner and said second command which is the command for the user to manipulate said communication device in said second manner are displayed by utilizing said 2nd language data, and wherein when said communication device is powered on after being powered off, said first command and said second command after said communication device is powered on are automatically displayed with said 1st language if said 1st language mode was selected by the user before said communication device was powered off, and said first command and said second command after said communication device is powered on are automatically displayed with said 2nd language if said 2nd language mode was selected by the user before said communication device was powered off. 3. The method of claim 1 , wherein one of said commands indicates to delete data, wherein said one of said commands displayed after said communication device is powered on is displayed (1) with said 1st language if said 1st language mode was manually selected by the user before said communication device was powered off and (2) with said 2nd language if said 2nd language mode was manually selected by the user before said communication device was powered off. | 0.521784 |
8,959,116 | 3 | 4 | 3. The non-transitory machine readable medium of claim 1 , wherein the set of instructions for converting comprises a set of instructions for: receiving an object node that references a range within the identified range: outputting an initial output associated with the object node; when the object node is a parent of at least one object node, recursively traversing any child object nodes of the received object node; when the object node is not a parent of any object nodes, outputting content from the content stream at the range referenced by the object node; and upon returning from any recursive traversal of child nodes, outputting a final output associated with the object node. | 3. The non-transitory machine readable medium of claim 1 , wherein the set of instructions for converting comprises a set of instructions for: receiving an object node that references a range within the identified range: outputting an initial output associated with the object node; when the object node is a parent of at least one object node, recursively traversing any child object nodes of the received object node; when the object node is not a parent of any object nodes, outputting content from the content stream at the range referenced by the object node; and upon returning from any recursive traversal of child nodes, outputting a final output associated with the object node. 4. The non-transitory machine readable medium of claim 3 , wherein the new format is an HyperText Markup Language (HTML) format, and the initial and final outputs comprise HTML tags. | 0.771357 |
8,495,571 | 1 | 3 | 1. A computer method for managing revisions to engineered products, comprising the steps of: holding in a data store at least one asset for forming an engineered product; tracking changes made to each asset in a workspace, there being a workspace copy of a subject asset and a data store copy of the subject asset; and automatically providing together, in a certain screen view, at least two separate indications of changes, one being indications of workspace copy changes and the other being indications of data store changes, such that: (a) the workspace copy of indications are configured to provide indications of changes made to the workspace copy of the subject asset relative to the data store copy of the subject asset, and (b) the data store copy of indications are configured to provide indications of changes made to the data store copy of the subject asset relative to the workspace copy of the subject asset, such that the (a) indications of the workspace copy changes are juxtaposed with the and (b) indications of data store copy changes in that they are positioned in close proximity to one another or positioned side by side one another in the certain screen view. | 1. A computer method for managing revisions to engineered products, comprising the steps of: holding in a data store at least one asset for forming an engineered product; tracking changes made to each asset in a workspace, there being a workspace copy of a subject asset and a data store copy of the subject asset; and automatically providing together, in a certain screen view, at least two separate indications of changes, one being indications of workspace copy changes and the other being indications of data store changes, such that: (a) the workspace copy of indications are configured to provide indications of changes made to the workspace copy of the subject asset relative to the data store copy of the subject asset, and (b) the data store copy of indications are configured to provide indications of changes made to the data store copy of the subject asset relative to the workspace copy of the subject asset, such that the (a) indications of the workspace copy changes are juxtaposed with the and (b) indications of data store copy changes in that they are positioned in close proximity to one another or positioned side by side one another in the certain screen view. 3. A method as claimed in claim 1 wherein the certain screen view provides any combination of: textual description of changes made, textual summaries, ionic summary, color coded symbols, and details of changes made in the repository including indication of who made the changes and time of change. | 0.5 |
9,552,341 | 1 | 6 | 1. A system comprising: one or more processors communicatively coupled to one or more memories and configured to provide: a web-based application constructor to: create a specification for constructing a web display to contain page components that display data from heterogeneous data sources, the specification associating the page components with uniform resource locators assigned to the page components; store the specification in at least one memory of the one or more memories; retrieve the data from heterogeneous data sources to produce the web display; control display and/or update of the page components using the uniform resource locators, the web display to display at least some of the data from the heterogeneous data sources; facilitate an edit state for a page that provides one or more user-selectable options to change a page layout of the page components for the page and to associate a particular uniform resource locator for at least one of the page components with an insert target arranged according to the page layout; and associate one or more user-specific changes to the page components made via the one or more user-selectable options, the user-specific changes comprising a layout change to the page layout; a versioning system that keeps track of the one or more user-specific changes to the page components; and a change control system to allow users to dynamically undo at least some of the one or more user-specific changes to the page components while using the web-based application constructor. | 1. A system comprising: one or more processors communicatively coupled to one or more memories and configured to provide: a web-based application constructor to: create a specification for constructing a web display to contain page components that display data from heterogeneous data sources, the specification associating the page components with uniform resource locators assigned to the page components; store the specification in at least one memory of the one or more memories; retrieve the data from heterogeneous data sources to produce the web display; control display and/or update of the page components using the uniform resource locators, the web display to display at least some of the data from the heterogeneous data sources; facilitate an edit state for a page that provides one or more user-selectable options to change a page layout of the page components for the page and to associate a particular uniform resource locator for at least one of the page components with an insert target arranged according to the page layout; and associate one or more user-specific changes to the page components made via the one or more user-selectable options, the user-specific changes comprising a layout change to the page layout; a versioning system that keeps track of the one or more user-specific changes to the page components; and a change control system to allow users to dynamically undo at least some of the one or more user-specific changes to the page components while using the web-based application constructor. 6. The system of claim 1 , wherein versions of the one or more pages are time stamped and the one or more user-specific changes can be rolled back up to a previous time. | 0.608796 |
8,055,635 | 1 | 2 | 1. A processor-implemented method for verifying the correctness of query results, comprising: receiving a query at a data repository; indexing the data repository; dividing the index of the data repository into index segments; updating the index segments after an input of data into the data repository; executing the received query using a query logic; producing a query output that includes a query result and verification information associated with the query result; transferring the query output to a verification system; and verifying the integrity and completeness of the query result using the verification information included in the query output, wherein verifying the integrity includes verifying that the query result has not been tampered with, and wherein verifying the completeness of the query result includes verifying that there are no additions or omissions to the query result, and verifying completeness of the query result includes verifying legitimacy of the updates to the index segments by calculating a root hash of a hash tree from a previous content of a metadata page in the data repository and from nodes along a path from a previous content of the metadata page to a root. | 1. A processor-implemented method for verifying the correctness of query results, comprising: receiving a query at a data repository; indexing the data repository; dividing the index of the data repository into index segments; updating the index segments after an input of data into the data repository; executing the received query using a query logic; producing a query output that includes a query result and verification information associated with the query result; transferring the query output to a verification system; and verifying the integrity and completeness of the query result using the verification information included in the query output, wherein verifying the integrity includes verifying that the query result has not been tampered with, and wherein verifying the completeness of the query result includes verifying that there are no additions or omissions to the query result, and verifying completeness of the query result includes verifying legitimacy of the updates to the index segments by calculating a root hash of a hash tree from a previous content of a metadata page in the data repository and from nodes along a path from a previous content of the metadata page to a root. 2. The method of claim 1 including computing a secure one-way hash of one of the data records during an insertion of said one of the data records into the data repository, wherein the query result includes data records that satisfy the received query. | 0.5 |
8,165,887 | 17 | 21 | 17. A system employing at least one hardware implemented computer processor for developing a voice user interface for a statistical semantic system, the system comprising; means for defining a set of semantic meanings that reflect semantic classification of a user input dialog; and means for automatically developing from an annotated transcription corpus a set of speech dialog prompts for directing user inputs to corresponding final semantic meanings. | 17. A system employing at least one hardware implemented computer processor for developing a voice user interface for a statistical semantic system, the system comprising; means for defining a set of semantic meanings that reflect semantic classification of a user input dialog; and means for automatically developing from an annotated transcription corpus a set of speech dialog prompts for directing user inputs to corresponding final semantic meanings. 21. A system according to claim 17 , wherein the speech dialog prompts include one or more disambiguation prompts for intermediate concept classification of a given user input. | 0.865443 |
8,885,923 | 2 | 3 | 2. The feature point selecting system according to claim 1 , wherein the feature point importance determining unit excludes from a processing target of the recognition task a feature point candidate comprising an importance equal to or less than a threshold determined in advance. | 2. The feature point selecting system according to claim 1 , wherein the feature point importance determining unit excludes from a processing target of the recognition task a feature point candidate comprising an importance equal to or less than a threshold determined in advance. 3. The feature point selecting system according to claim 2 , further comprising: a learning/evaluation data generating unit that creates a plurality of evaluation images from the three-dimensional shape model and correct data of the recognition task for each evaluation image, generates a plurality of learning images which are generated from the three-dimensional shape model and which are used to learn decision data of a feature point extractor, and generates position data representing a position of each feature point candidate on the three-dimensional shape model on each learning image; a local area clipping unit that clips a local area which corresponds to a feature point from each learning image and a local area which does not correspond to a feature point, based on each learning image and the position data generated by the learning/evaluation data generating unit; a feature point extractor learning unit which learns the decision data of the feature point extractor based on the local area which correspond to the feature point and the local area which does not correspond to the feature point; and a feature point extraction executing unit that extracts a feature point from each evaluation image using the decision data. | 0.5 |
7,860,715 | 2 | 3 | 2. The method of claim 1 , wherein said sound files are stored in a memory location. | 2. The method of claim 1 , wherein said sound files are stored in a memory location. 3. The method of claim 2 , wherein said speech recognition application is utilized in a computing environment having one or more nodes. | 0.5 |
8,930,359 | 11 | 15 | 11. A computer program product, encoded on one or more non-transitory computer storage media, comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: obtaining, in response to a search one or more search indexes based on a query, a ranked set of search results that includes both (i) one or more particular web search results and (ii) one or more particular custom content search results, wherein the one or more particular web search results identify respective web resources that are indexed in the one or more search indices, and wherein the one or more particular custom content search results identify respective custom content resources in a collection of resources that are exposed to a search engine by an owner of the custom content resources and that are indexed in the one or more search indexes; identifying a presentation setting for presenting combined search results that include one or more web search results and one or more custom content search results, the presentation setting specifying how to visually distinguish the one or more web search results from the one or more custom content search results on a search results page, wherein the presentation setting is specified by the owner of the that exposed to the search engine the collection of resources that includes the one or more custom content resources that are identified by the one or more particular custom content search results; generating, based on the presentation setting for presenting combined search results that include one or more web search results and one or more custom content search results, a search results page that includes a subset of the ranked set of search results, the subset including one or more of the particular web search results and one or more of the particular custom content search results, including visually distinguishing the one or more web search results from the one or more custom content search results on the search results page according to the presentation setting; and providing the search results page for output in response to the query. | 11. A computer program product, encoded on one or more non-transitory computer storage media, comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: obtaining, in response to a search one or more search indexes based on a query, a ranked set of search results that includes both (i) one or more particular web search results and (ii) one or more particular custom content search results, wherein the one or more particular web search results identify respective web resources that are indexed in the one or more search indices, and wherein the one or more particular custom content search results identify respective custom content resources in a collection of resources that are exposed to a search engine by an owner of the custom content resources and that are indexed in the one or more search indexes; identifying a presentation setting for presenting combined search results that include one or more web search results and one or more custom content search results, the presentation setting specifying how to visually distinguish the one or more web search results from the one or more custom content search results on a search results page, wherein the presentation setting is specified by the owner of the that exposed to the search engine the collection of resources that includes the one or more custom content resources that are identified by the one or more particular custom content search results; generating, based on the presentation setting for presenting combined search results that include one or more web search results and one or more custom content search results, a search results page that includes a subset of the ranked set of search results, the subset including one or more of the particular web search results and one or more of the particular custom content search results, including visually distinguishing the one or more web search results from the one or more custom content search results on the search results page according to the presentation setting; and providing the search results page for output in response to the query. 15. The computer program product of claim 11 , wherein generating, based on the presentation setting for presenting combined search results that include one or more web search results and one or more custom content search results, a search results page that includes a subset of the ranked set of search results comprises: formatting the one or more custom content search results according to the presentation setting for presenting combined search results that include or more web search results and one or more custom content search results; and combining the formatted custom content search results with the one or more web search results. | 0.5 |
9,665,569 | 7 | 9 | 7. A method of translating windows displayed by broadcast automation software, method comprising: displaying at least two different windows of the broadcast automation software, each different window including a plurality of user interface (UI) strings programmed into the broadcast automation software, by executing a computer instruction; translating a particular UI string differently based, at least in part, on which of the at least two different windows is displaying the particular UI string, by executing a computer instruction; and presenting a first plurality of the UI strings in a context of a first window, by executing a computer instruction; and presenting a second plurality of the UI strings in a context of a second window, by executing a computer instruction. | 7. A method of translating windows displayed by broadcast automation software, method comprising: displaying at least two different windows of the broadcast automation software, each different window including a plurality of user interface (UI) strings programmed into the broadcast automation software, by executing a computer instruction; translating a particular UI string differently based, at least in part, on which of the at least two different windows is displaying the particular UI string, by executing a computer instruction; and presenting a first plurality of the UI strings in a context of a first window, by executing a computer instruction; and presenting a second plurality of the UI strings in a context of a second window, by executing a computer instruction. 9. The method of claim 7 , further comprising: receiving user input selecting one of the first window and the second window as a focus window, by executing a computer instruction; and translating the first plurality of UI strings if the first window is selected as the focus window, by executing a computer instruction; and translating the second plurality of UI strings if the second window is selected as the focus window, by executing a computer instruction. | 0.5 |
8,516,606 | 1 | 11 | 1. A computer-implemented method comprising: receiving a request for protected content from a client, the protected content comprising data; determining a challenge phrase comprising a plurality of characters; dividing, using a computer processor, the challenge phrase into at least two character subsets selected from the plurality of characters comprising the challenge phrase, each of the at least two character subsets comprising less than all of the characters comprising the challenge phrase, wherein a first character subset and a second character subset of the at least two character subsets comprise one or more common characters, and the first character subset includes at least one character not included in the second character subset; obscuring a first part of a common character in the first character subset; obscuring a second part of the common character in the second character subset, the second part of the common character being different than the first part of the common character; sending the at least two character subsets to the client in response to the request; and receiving, from the client and in response to the at least two character subsets, an answer to the challenge phrase, wherein access to the protected content is limited based on whether the answer correctly solves the challenge phrase. | 1. A computer-implemented method comprising: receiving a request for protected content from a client, the protected content comprising data; determining a challenge phrase comprising a plurality of characters; dividing, using a computer processor, the challenge phrase into at least two character subsets selected from the plurality of characters comprising the challenge phrase, each of the at least two character subsets comprising less than all of the characters comprising the challenge phrase, wherein a first character subset and a second character subset of the at least two character subsets comprise one or more common characters, and the first character subset includes at least one character not included in the second character subset; obscuring a first part of a common character in the first character subset; obscuring a second part of the common character in the second character subset, the second part of the common character being different than the first part of the common character; sending the at least two character subsets to the client in response to the request; and receiving, from the client and in response to the at least two character subsets, an answer to the challenge phrase, wherein access to the protected content is limited based on whether the answer correctly solves the challenge phrase. 11. The computer-implemented method according to claim 1 , wherein the challenge phrase is divided into the character subsets by randomly eliminating characters selected from the challenge phrase. | 0.724719 |
9,619,481 | 8 | 10 | 8. A computer implemented method comprising: accessing a digital document, wherein the digital document relates to one or more topics; generating a list of expert students, wherein the expert students have authored one or more annotations relating to a topic similar to the one or more topics in the digital document; computing a confidence score for each annotation imported by a user accessing the digital document, wherein the confidence score is based on a test score of one or more users who imported the annotation, the test score being an indication of a quality of the annotation; computing a rank based on the confidence score for each annotation by the one or more users relating to the similar topic; and ordering the list of expert students according to the rank, wherein the rank identifies a level of expertise of the expert students; and presenting the ordered list of expert students, where the ordered list comprises a pre-defined number of expert students with a level of expertise meeting a predefined threshold. | 8. A computer implemented method comprising: accessing a digital document, wherein the digital document relates to one or more topics; generating a list of expert students, wherein the expert students have authored one or more annotations relating to a topic similar to the one or more topics in the digital document; computing a confidence score for each annotation imported by a user accessing the digital document, wherein the confidence score is based on a test score of one or more users who imported the annotation, the test score being an indication of a quality of the annotation; computing a rank based on the confidence score for each annotation by the one or more users relating to the similar topic; and ordering the list of expert students according to the rank, wherein the rank identifies a level of expertise of the expert students; and presenting the ordered list of expert students, where the ordered list comprises a pre-defined number of expert students with a level of expertise meeting a predefined threshold. 10. The method of claim 8 , wherein: generating the list of expert students comprises: extracting similar documents from a database of digital documents; and filtering the similar documents into a set of documents that one or more users have annotated. | 0.818182 |
8,874,564 | 16 | 17 | 16. A server for communicating search results, the server comprising: a processor for executing a set of instructions; and a memory in communication with the processor for storing the set of instructions, wherein the set of instructions are executed by the processor to: receive user input from a first user to perform a search of a communications network; perform the search based on the user input to generate the search results; determine whether the search results include content dates for content; determine a publication date of the content for each search result; determine a post data of the content for each search result; display the search results and a plurality of selection elements associated with each of the search results, wherein each of the plurality of selection elements is associated with one or more second users separate from the first user and is selectable by the first user to communicate each of the search results to the one or more second users separate from the first user; receive a user selection of one or more of the plurality of selection elements associated with the one or more second users separate from the first user; and communicate one or more of the search results to the associated one or more second users separate from the first user, in response to the user selection. | 16. A server for communicating search results, the server comprising: a processor for executing a set of instructions; and a memory in communication with the processor for storing the set of instructions, wherein the set of instructions are executed by the processor to: receive user input from a first user to perform a search of a communications network; perform the search based on the user input to generate the search results; determine whether the search results include content dates for content; determine a publication date of the content for each search result; determine a post data of the content for each search result; display the search results and a plurality of selection elements associated with each of the search results, wherein each of the plurality of selection elements is associated with one or more second users separate from the first user and is selectable by the first user to communicate each of the search results to the one or more second users separate from the first user; receive a user selection of one or more of the plurality of selection elements associated with the one or more second users separate from the first user; and communicate one or more of the search results to the associated one or more second users separate from the first user, in response to the user selection. 17. The server according to claim 16 , further comprising: wherein the communications network is a private network, wherein the one or more second users separate from the first user are authorized to receive the search results from the private network. | 0.607477 |
9,143,603 | 1 | 13 | 1. A method employing a portable user device having at least one microphone that captures audio, and at least one image sensor for capturing imagery, the method comprising the acts: (a) capturing imagery with the image sensor, the captured image depicting one or more physical subjects within an environment of said user, and capturing user speech with the microphone; (b) sending, to a speech recognition module, audio data corresponding to the user speech, and receiving recognized user speech data corresponding thereto; (c) applying a computer-implemented cognition process to the imagery, said cognition process also employing information from the recognized user speech data as a clue to help identify a physical subject within the captured imagery that is of interest to said user; and (d) presenting a set of plural response options to the user, for user selection therebetween; wherein the set of plural response options presented to the user varies based on said identified physical subject. | 1. A method employing a portable user device having at least one microphone that captures audio, and at least one image sensor for capturing imagery, the method comprising the acts: (a) capturing imagery with the image sensor, the captured image depicting one or more physical subjects within an environment of said user, and capturing user speech with the microphone; (b) sending, to a speech recognition module, audio data corresponding to the user speech, and receiving recognized user speech data corresponding thereto; (c) applying a computer-implemented cognition process to the imagery, said cognition process also employing information from the recognized user speech data as a clue to help identify a physical subject within the captured imagery that is of interest to said user; and (d) presenting a set of plural response options to the user, for user selection therebetween; wherein the set of plural response options presented to the user varies based on said identified physical subject. 13. The method of claim 1 in which said action includes presenting a map showing locations of stores from which the subject is available for sale. | 0.838496 |
9,934,218 | 14 | 15 | 14. A non-transitory computer readable medium comprising a plurality of computer-executable instructions stored thereon that, when executed, cause a computing system to perform processing for extracting one or more descriptors of a specified term in text data from the text data, the processing comprising: receiving, from a user: an address for at least one information source, the address being a uniform resource locator (URL) address or a location of a text file within a storage device, the term being at least one word or other text token; and the specified term; creating a tagged information file by associating part of speech tags to text data obtained from the at least one information source, including to any descriptors present in the text data, wherein a descriptor comprises one or more words of the text data that succeed or precede the specified term; identifying a location of the specified term in the tagged information file using an approximate text matching technique, wherein the approximate text matching technique: detects the specified term grouped together with the descriptors of the specified term in the text data using the tagged information file, the specified term grouped together with the descriptors of the specified term forming a variable region or variable window that is context sensitive and not of a fixed size; and identifies, through a finite state machine, a grammatical context shift in the context sensitive region pertaining to the specified term in the text data by analyzing the part of speech tags of the tagged information file, wherein the grammatical context shift is indicated by an autonomous transition of the finite state machine from a first state associated with a first part of speech tag of the tagged information file to a second state associated with a second part of speech tag of the tagged information file for parts of speech associated with words before and after the specified term; determining based on the determined grammatical context shift the one or more descriptors of the specified term; extracting the one or more descriptors of the specified term from the text data; and providing a report comprising the extracted one or more descriptors of the specified term. | 14. A non-transitory computer readable medium comprising a plurality of computer-executable instructions stored thereon that, when executed, cause a computing system to perform processing for extracting one or more descriptors of a specified term in text data from the text data, the processing comprising: receiving, from a user: an address for at least one information source, the address being a uniform resource locator (URL) address or a location of a text file within a storage device, the term being at least one word or other text token; and the specified term; creating a tagged information file by associating part of speech tags to text data obtained from the at least one information source, including to any descriptors present in the text data, wherein a descriptor comprises one or more words of the text data that succeed or precede the specified term; identifying a location of the specified term in the tagged information file using an approximate text matching technique, wherein the approximate text matching technique: detects the specified term grouped together with the descriptors of the specified term in the text data using the tagged information file, the specified term grouped together with the descriptors of the specified term forming a variable region or variable window that is context sensitive and not of a fixed size; and identifies, through a finite state machine, a grammatical context shift in the context sensitive region pertaining to the specified term in the text data by analyzing the part of speech tags of the tagged information file, wherein the grammatical context shift is indicated by an autonomous transition of the finite state machine from a first state associated with a first part of speech tag of the tagged information file to a second state associated with a second part of speech tag of the tagged information file for parts of speech associated with words before and after the specified term; determining based on the determined grammatical context shift the one or more descriptors of the specified term; extracting the one or more descriptors of the specified term from the text data; and providing a report comprising the extracted one or more descriptors of the specified term. 15. The non-transitory computer readable medium of claim 14 , wherein the input text data is structured. | 0.832797 |
9,424,167 | 1 | 4 | 1. A method for automatically testing an application system graphical user interface (GUI), the method comprising: retrieving, in a computer communicatively connected to an application server providing the application system, a GUI page provided by the application server as part of the application system; automatically identifying, based on image-analysis of an image of the retrieved GUI page, a plurality of text elements of the GUI page; automatically identifying, based on image-analysis of the image of the retrieved GUI page, a plurality of user input objects of the GUI page; automatically associating with each of the plurality of automatically identified user input objects a text element of the plurality of automatically identified text elements; retrieving, based on the text elements associated with each of the plurality of user input objects, a plurality of test parameter values from a database storing test parameter data, wherein each test parameter value of the plurality of test parameter values is associated in the database storing test parameter data with a corresponding text element associated with one of the plurality of user input objects; testing the application system provided by the application server by, for each respective user input object identified in the GUI page, performing a function to: provide, in the respective user input object of the GUI page, the respective test parameter value that is associated in the database storing test parameter data with a same text element as is associated with the respective user input object of the GUI page; and monitoring a response of the application system to the providing of the respective test parameter value to each user input object identified in the GUI page. | 1. A method for automatically testing an application system graphical user interface (GUI), the method comprising: retrieving, in a computer communicatively connected to an application server providing the application system, a GUI page provided by the application server as part of the application system; automatically identifying, based on image-analysis of an image of the retrieved GUI page, a plurality of text elements of the GUI page; automatically identifying, based on image-analysis of the image of the retrieved GUI page, a plurality of user input objects of the GUI page; automatically associating with each of the plurality of automatically identified user input objects a text element of the plurality of automatically identified text elements; retrieving, based on the text elements associated with each of the plurality of user input objects, a plurality of test parameter values from a database storing test parameter data, wherein each test parameter value of the plurality of test parameter values is associated in the database storing test parameter data with a corresponding text element associated with one of the plurality of user input objects; testing the application system provided by the application server by, for each respective user input object identified in the GUI page, performing a function to: provide, in the respective user input object of the GUI page, the respective test parameter value that is associated in the database storing test parameter data with a same text element as is associated with the respective user input object of the GUI page; and monitoring a response of the application system to the providing of the respective test parameter value to each user input object identified in the GUI page. 4. The method of claim 1 , wherein the associating a text element of the plurality of identified text elements with an identified user input object comprises associating with the identified user input object a text element that is located proximate to or is overlapped with the identified user input object in the GUI page. | 0.785809 |
9,900,429 | 1 | 11 | 1. A method for network recording comprising: receiving, by a processor, a request for a telephony call from a first communication device; invoking, by the processor, a rule based on an attribute of the telephony call, wherein the rule identifies a condition for recording the call; determining, by the processor, whether the condition for recording the call is satisfied; in response to determining that the condition for recording the call is satisfied, establishing, by the processor, a first call path with a recording system instead of a second call path, wherein the recording system is configured to receive media transmitted by the first communication device via the first call path instead of the second call path, bridge a media path between the first communication and a second communication device, and record the media in a storage device; and in response to determining that the condition for recording the call is not satisfied, establishing, by the processor, the second call path with the second communication device without establishing the first call path, wherein the media transmitted by the first communication device is for being received via the second call path instead of the first call path. | 1. A method for network recording comprising: receiving, by a processor, a request for a telephony call from a first communication device; invoking, by the processor, a rule based on an attribute of the telephony call, wherein the rule identifies a condition for recording the call; determining, by the processor, whether the condition for recording the call is satisfied; in response to determining that the condition for recording the call is satisfied, establishing, by the processor, a first call path with a recording system instead of a second call path, wherein the recording system is configured to receive media transmitted by the first communication device via the first call path instead of the second call path, bridge a media path between the first communication and a second communication device, and record the media in a storage device; and in response to determining that the condition for recording the call is not satisfied, establishing, by the processor, the second call path with the second communication device without establishing the first call path, wherein the media transmitted by the first communication device is for being received via the second call path instead of the first call path. 11. The method of claim 1 , wherein the recording system includes a first media controller, and a call controller in a first geographic region is configured to: identify the first media controller currently assigned to the telephony call; detect failure of the first media controller during the telephony call, wherein the failure of the media controller tears down the media path; in response to detecting the failure, bridge a second media path between the first and second communication devices until a second media controller is identified; and in response to the second media controller being identified, signal the second media controller to bridge and record media exchanged during the telephony call. | 0.516393 |
8,051,096 | 11 | 13 | 11. A computer-implemented method comprising: identifying a character string in an alphanumeric format having no token delineating breaks and comprising one or more tokens in the alphanumeric format, wherein the identified character string is included in a plurality of previously received search requests; for each of the one or more tokens, parsing the identified character string into a first portion containing a first token and a second portion containing the remaining tokens; determining whether the first token is already included in a lexicon comprising an ontology of interrelated tokens and whether the first token occurs in the plurality of previously received search requests with at least a threshold frequency; based upon the determination of whether the first token is already included in the lexicon and the determination of whether the first token occurs in the plurality of previously received search results with at least the threshold frequency, identifying a second token that comprises a correct spelling of the first token, or an alternate spelling of the first token; and adding the first token to the lexicon with an association to the identified second token; receiving an alphanumeric string of characters comprising a domain name and having no token-delineating breaks; matching a portion of the received alphanumeric string of characters to the first token using the lexicon; and replacing the matched portion of the received alphanumeric string of characters with the identified second token contained in the lexicon. | 11. A computer-implemented method comprising: identifying a character string in an alphanumeric format having no token delineating breaks and comprising one or more tokens in the alphanumeric format, wherein the identified character string is included in a plurality of previously received search requests; for each of the one or more tokens, parsing the identified character string into a first portion containing a first token and a second portion containing the remaining tokens; determining whether the first token is already included in a lexicon comprising an ontology of interrelated tokens and whether the first token occurs in the plurality of previously received search requests with at least a threshold frequency; based upon the determination of whether the first token is already included in the lexicon and the determination of whether the first token occurs in the plurality of previously received search results with at least the threshold frequency, identifying a second token that comprises a correct spelling of the first token, or an alternate spelling of the first token; and adding the first token to the lexicon with an association to the identified second token; receiving an alphanumeric string of characters comprising a domain name and having no token-delineating breaks; matching a portion of the received alphanumeric string of characters to the first token using the lexicon; and replacing the matched portion of the received alphanumeric string of characters with the identified second token contained in the lexicon. 13. The computer-implemented method of claim 11 , wherein the second token is identified as the correct spelling of the first token, or the alternate spelling of the first token using a spell checker. | 0.672131 |
8,839,107 | 28 | 31 | 28. A memory device comprising: a non-transitory computer useable medium including program code that when executed by a computer is operable to: provide a user interface for enabling a user to perform user actions using said user interface to perform a user task; monitor said user actions; determine system operating environment information in accordance with said user actions; generate a script in accordance with said user actions and said determined system operating environment information for repeating said user task using said script generated in accordance with said determined system operating environment information, wherein said generating a script includes: creating a query using a combination of data representing said user actions and said determined system operating environment information and determining a plurality of previously generated scripts associated with the monitored user actions based on said query, wherein previously generated scripts are stored in a data repository; analyzing said monitored user actions; selecting a most efficient script from the plurality of previously generated scripts; and updating the selected, most efficient script responsive to the monitored user actions. | 28. A memory device comprising: a non-transitory computer useable medium including program code that when executed by a computer is operable to: provide a user interface for enabling a user to perform user actions using said user interface to perform a user task; monitor said user actions; determine system operating environment information in accordance with said user actions; generate a script in accordance with said user actions and said determined system operating environment information for repeating said user task using said script generated in accordance with said determined system operating environment information, wherein said generating a script includes: creating a query using a combination of data representing said user actions and said determined system operating environment information and determining a plurality of previously generated scripts associated with the monitored user actions based on said query, wherein previously generated scripts are stored in a data repository; analyzing said monitored user actions; selecting a most efficient script from the plurality of previously generated scripts; and updating the selected, most efficient script responsive to the monitored user actions. 31. The memory device of claim 28 , wherein the program code includes: an environment assembler to determine said system operating environment information. | 0.632701 |
8,136,121 | 1 | 6 | 1. A method for graphically building a message format, the method comprising: receiving a message; extracting at least one format element from the message; building the message format using the at least one format element; graphically representing a physical appearance of the message format in a horizontal format, wherein the horizontal format comprises an accordion style container of format elements, wherein the accordion style container include plurality of sub-containers, wherein each sub-container is delimited on both sides of the horizontal format of the sub-container, and wherein the accordion style container are expandable and collapsible in a horizontal direction; expanding the accordion style containers or sub containers; and in response to the expanding, substituting each data field of the accordion style container or sub containers with a value. | 1. A method for graphically building a message format, the method comprising: receiving a message; extracting at least one format element from the message; building the message format using the at least one format element; graphically representing a physical appearance of the message format in a horizontal format, wherein the horizontal format comprises an accordion style container of format elements, wherein the accordion style container include plurality of sub-containers, wherein each sub-container is delimited on both sides of the horizontal format of the sub-container, and wherein the accordion style container are expandable and collapsible in a horizontal direction; expanding the accordion style containers or sub containers; and in response to the expanding, substituting each data field of the accordion style container or sub containers with a value. 6. The method of claim 1 , wherein building the message format comprises at least one of: inserting the at least one format element into the message format; moving the at least one format element within the message format; or deleting the at least one format element from the message format. | 0.5 |
9,582,639 | 11 | 12 | 11. The method of claim 10 further comprising computing and outputting a likelihood ratio determined from the stored data. | 11. The method of claim 10 further comprising computing and outputting a likelihood ratio determined from the stored data. 12. The method of claim 11 where said computing is performed remotely. | 0.5 |
8,774,372 | 1 | 12 | 1. A method, comprising: receiving, by a processor, a first call from a consumer to a client; transcribing, by the processor, voice data of the consumer of the first call into first transcribed text of the first call; extracting, by the processor, first identification data of the consumer from the first transcribed text of the first call; determining, by the processor, whether the first identification data of the consumer matches second identification data of the consumer extracted from second transcribed text of a second call of the consumer; when the first identification data does not match the second identification data, linking, by the processor, the first identification data and the first transcribed text of the first call with a new consumer entity and transmitting, by the processor, an inbox over a network for display to the client, the inbox comprising data associated with the new consumer entity comprising an identifier of the new consumer entity and a first partial transcription of the first call; and when the first identification matches the second identification data, linking, by the processor, the first identification data and the first transcribed text of the first call with an existing consumer entity corresponding to the second call of the consumer, aggregating, by the processor, the first identification data and the first transcribed text of the first call with the second identification data and the second transcribed text of the second call of the consumer, and transmitting, by the processor, an inbox over a network for display to the client, the inbox comprising an identifier of the existing consumer entity, the partial transcription of the first call, and a second partial transcription of the second call extracting a pattern from the first transcribed text of the first call and transmitting the pattern to the client; and associating a tag with the first transcribed text of the first call, wherein the tag is indicating a type of a call. | 1. A method, comprising: receiving, by a processor, a first call from a consumer to a client; transcribing, by the processor, voice data of the consumer of the first call into first transcribed text of the first call; extracting, by the processor, first identification data of the consumer from the first transcribed text of the first call; determining, by the processor, whether the first identification data of the consumer matches second identification data of the consumer extracted from second transcribed text of a second call of the consumer; when the first identification data does not match the second identification data, linking, by the processor, the first identification data and the first transcribed text of the first call with a new consumer entity and transmitting, by the processor, an inbox over a network for display to the client, the inbox comprising data associated with the new consumer entity comprising an identifier of the new consumer entity and a first partial transcription of the first call; and when the first identification matches the second identification data, linking, by the processor, the first identification data and the first transcribed text of the first call with an existing consumer entity corresponding to the second call of the consumer, aggregating, by the processor, the first identification data and the first transcribed text of the first call with the second identification data and the second transcribed text of the second call of the consumer, and transmitting, by the processor, an inbox over a network for display to the client, the inbox comprising an identifier of the existing consumer entity, the partial transcription of the first call, and a second partial transcription of the second call extracting a pattern from the first transcribed text of the first call and transmitting the pattern to the client; and associating a tag with the first transcribed text of the first call, wherein the tag is indicating a type of a call. 12. The method of claim 1 , further comprising applying a content-based fraud detector rule set against the transcribed text of the first call to detect fraudulent calls. | 0.735202 |
9,807,037 | 1 | 3 | 1. A computer-implemented method for suggesting a completion to text entered by a user on a computing device, the method comprising: receiving, at a sever, text of a message from a first computing device of a first user; computing a topic vector using the text of the message from the first computing device, wherein each element of the topic vector comprises a score corresponding to a topic of a plurality of topics; causing the message to be presented by a second computing device to a second user; receiving text from the second computing device entered by the second user; computing a first feature vector using the topic vector and the text entered by the second user; identifying a first plurality of characters to follow the text entered by the second user by processing, by the server, the first feature vector, wherein the first plurality of characters comprises a first character; computing a second feature vector using the topic vector and the first character; identifying a second plurality of characters to follow the first character by processing, by the server, the second feature vector, wherein the second plurality of characters comprises a second character; generating a suggested completion to the text entered by the second user, the suggested completion comprising the first character and the second character, and transmitting the suggested completion to the second computing device for presenting to the second user. | 1. A computer-implemented method for suggesting a completion to text entered by a user on a computing device, the method comprising: receiving, at a sever, text of a message from a first computing device of a first user; computing a topic vector using the text of the message from the first computing device, wherein each element of the topic vector comprises a score corresponding to a topic of a plurality of topics; causing the message to be presented by a second computing device to a second user; receiving text from the second computing device entered by the second user; computing a first feature vector using the topic vector and the text entered by the second user; identifying a first plurality of characters to follow the text entered by the second user by processing, by the server, the first feature vector, wherein the first plurality of characters comprises a first character; computing a second feature vector using the topic vector and the first character; identifying a second plurality of characters to follow the first character by processing, by the server, the second feature vector, wherein the second plurality of characters comprises a second character; generating a suggested completion to the text entered by the second user, the suggested completion comprising the first character and the second character, and transmitting the suggested completion to the second computing device for presenting to the second user. 3. The computer-implemented method of claim 1 , wherein computing the first feature vector comprises using a neural network. | 0.635294 |
8,769,486 | 10 | 13 | 10. One or more non-transitory computer-readable storage media storing instructions that, when executed on a processor, cause the processor to: receive a specification of a statically typed first interface to a first function, the first interface including a specification of a data type of a parameter of the first function; analyze the specification of the statically typed first interface to the first function to determine a function signature; determine, based on the analyzing, the function signature; identify a second function using the function signature, the second function corresponding to the specification of the statically typed first interface to the first function, the second function written using a dynamically typed language; and generate an implementation of the first function that invokes the second function through a dynamically typed function specification associated with the second function. | 10. One or more non-transitory computer-readable storage media storing instructions that, when executed on a processor, cause the processor to: receive a specification of a statically typed first interface to a first function, the first interface including a specification of a data type of a parameter of the first function; analyze the specification of the statically typed first interface to the first function to determine a function signature; determine, based on the analyzing, the function signature; identify a second function using the function signature, the second function corresponding to the specification of the statically typed first interface to the first function, the second function written using a dynamically typed language; and generate an implementation of the first function that invokes the second function through a dynamically typed function specification associated with the second function. 13. The media of claim 10 , wherein the first function outputs a first return value and the second function outputs a second return value. | 0.77 |
8,453,158 | 8 | 13 | 8. A script-based service server comprising: a processor configured to: analyze data source information of a script-based service; obtain current state information of a data source of the script-based service according to the analysis result; judge an availability state of the script-based service according to the current state information; and perform conversion matching on the current state information of the script-based service according to a state information conversion rule when the availability state of the script-based service is determined to be unavailable and the state information conversion rule reported by a service access management system is received. | 8. A script-based service server comprising: a processor configured to: analyze data source information of a script-based service; obtain current state information of a data source of the script-based service according to the analysis result; judge an availability state of the script-based service according to the current state information; and perform conversion matching on the current state information of the script-based service according to a state information conversion rule when the availability state of the script-based service is determined to be unavailable and the state information conversion rule reported by a service access management system is received. 13. The server of claim 8 , wherein the processor is further configured to: return a script-based service creation result to a user when a request for creating the script-based service is received from the user; execute the script-based service when a request for executing the script-based service is received and the availability state of the script-based service is determined to be available; and return the script-based service execution result of to the user when the request for executing the script-based service is received from the user, or return a state detection result of the script-based service to the user when the request for detecting the availability state of the script-based service is received from the user. | 0.5 |
7,853,539 | 1 | 3 | 1. A computer implemented methodology for sound discrimination, comprising: receiving a training set of sound waveforms; generating a cortical representation of the training set; computing a matrix decomposition using the cortical representation of the training set including computing a singular value decomposition (SVD) using the cortical representation of the training set, wherein the SVD is the matrix decomposition; receiving a plurality of regularization parameters; computing coefficients for each regularization parameter using the matrix decomposition; computing a leave-one-out (LOO) error for each of the regularization parameters; and selecting the regularization parameter with the lowest LOO error. | 1. A computer implemented methodology for sound discrimination, comprising: receiving a training set of sound waveforms; generating a cortical representation of the training set; computing a matrix decomposition using the cortical representation of the training set including computing a singular value decomposition (SVD) using the cortical representation of the training set, wherein the SVD is the matrix decomposition; receiving a plurality of regularization parameters; computing coefficients for each regularization parameter using the matrix decomposition; computing a leave-one-out (LOO) error for each of the regularization parameters; and selecting the regularization parameter with the lowest LOO error. 3. The method of claim 1 wherein computing a matrix decomposition using the cortical representation of the training set includes: forming a kernel matrix using the cortical representation of the training set; and computing an eigendecomposition of the kernel matrix, wherein the eigendecomposition is the matrix decomposition. | 0.5 |
9,208,405 | 14 | 15 | 14. The system of claim 9 , wherein the processor configured for performing a second layer feature analysis is further configured for: determining each of the plurality of final recognition scores based on a second layer model and the plurality of first layer confidence scores. | 14. The system of claim 9 , wherein the processor configured for performing a second layer feature analysis is further configured for: determining each of the plurality of final recognition scores based on a second layer model and the plurality of first layer confidence scores. 15. The system of claim 14 , wherein the processor configured for determining each of the plurality of final recognition scores is further configured for: determining a temporary final recognition score based on a second layer model and the plurality of first layer confidence scores, accepting an input from an operator, updating the second layer model based on the input from the operator, determining the final recognition score based on the input from the operator. | 0.5 |
8,738,607 | 17 | 20 | 17. A system to reduce storage and transmission costs associated with remote error recreation for abstract database applications, the system comprising: one or more computer processors; a memory containing a program which, when executed by the one or more computer processors, is configured to perform an operation comprising: upon detecting an error condition when an application executes an abstract query against an abstract database having an underlying physical database in a first computing environment, generating, not in response to any user request, an abstract database application extraction sufficient to recreate the error condition and comprising at least a portion of each of the application, the abstract database, and the physical database, respectively, wherein the portion of the abstract database includes a definition of at least one logical field used by the abstract query and excludes a definition of at least one logical field not used by the abstract query; sending the abstract database application extraction for execution in a second computing environment different from the first computing environment; and recreating the error condition from the abstract database application extraction in order to facilitate resolving the error condition, whereby storage and transmission costs associated with recreating the error condition in the second computing environment are reduced relative to providing the entirety of each of the application, the abstract database, and the physical database, respectively, for execution in the second computing environment. | 17. A system to reduce storage and transmission costs associated with remote error recreation for abstract database applications, the system comprising: one or more computer processors; a memory containing a program which, when executed by the one or more computer processors, is configured to perform an operation comprising: upon detecting an error condition when an application executes an abstract query against an abstract database having an underlying physical database in a first computing environment, generating, not in response to any user request, an abstract database application extraction sufficient to recreate the error condition and comprising at least a portion of each of the application, the abstract database, and the physical database, respectively, wherein the portion of the abstract database includes a definition of at least one logical field used by the abstract query and excludes a definition of at least one logical field not used by the abstract query; sending the abstract database application extraction for execution in a second computing environment different from the first computing environment; and recreating the error condition from the abstract database application extraction in order to facilitate resolving the error condition, whereby storage and transmission costs associated with recreating the error condition in the second computing environment are reduced relative to providing the entirety of each of the application, the abstract database, and the physical database, respectively, for execution in the second computing environment. 20. The system of claim 17 , wherein the operation further comprises: encrypting sensitive data in the three portions using a password specified via user input. | 0.80198 |
8,793,271 | 20 | 21 | 20. The system of claim 19 , wherein the identified set of documents does not include the first document, does not include the second document, and does include the third, fourth, fifth, and sixth documents. | 20. The system of claim 19 , wherein the identified set of documents does not include the first document, does not include the second document, and does include the third, fourth, fifth, and sixth documents. 21. The system of claim 20 , wherein the term index is generated based on the plurality of documents, wherein the overlay index is generated based on the specified context and the term index, wherein documents including the first search term are identified using the overlay index if the first search term is included in the specified context and using the term index if the first search term is not included in the specified context. | 0.5 |
8,612,243 | 28 | 31 | 28. A system for managing an information network by providing an interface between a social network and a content network, the system comprising: a community keeper configured to maintain a community index table and coordinate operations of a created community of users across network devices; a resource grid configured to define an interaction record structure including a tagged grid; wherein the community keeper is further configured to store an interaction record of content in the community of users based upon the interaction record structure and to create a community index of content of the interaction record; wherein the resource grid is further configured to tag the interaction record with a user generated description of content; and a content synchronization module configured to synchronize the community of users based upon the community index by providing an updated content component in the stored interaction record to users such that the users have the same interaction record and wherein the content synchronization module is further configured to update the community index of the interaction record. | 28. A system for managing an information network by providing an interface between a social network and a content network, the system comprising: a community keeper configured to maintain a community index table and coordinate operations of a created community of users across network devices; a resource grid configured to define an interaction record structure including a tagged grid; wherein the community keeper is further configured to store an interaction record of content in the community of users based upon the interaction record structure and to create a community index of content of the interaction record; wherein the resource grid is further configured to tag the interaction record with a user generated description of content; and a content synchronization module configured to synchronize the community of users based upon the community index by providing an updated content component in the stored interaction record to users such that the users have the same interaction record and wherein the content synchronization module is further configured to update the community index of the interaction record. 31. The system of claim 28 further comprising: a content management module configured to receive indexing standards created by the community of users and further configured to manage content within the community of users based upon the indexing standards. | 0.5 |
7,599,922 | 12 | 14 | 12. A tangible computer-readable medium having computer-executable instructions stored thereon for: receiving a user query at a first location; extracting terms from the user query by parsing the terms from the user query on a term-by-term basis, determining if any terms in the user query are relevant to individual slots utilized by a search facility of a second location, and for those terms that are determined to be relevant to individual slots, filling those slots with the relevant terms; assigning the user query a ranking based on a weight assigned to at least a portion of the extracted terms; sending the user query to the second location for searching if the ranking of the terms meets a predetermined threshold and searching the user query at the second location; searching the user query at the first location if the ranking of the user query does not meet the predetermined threshold; and receiving a response from one of the first location or the second location. | 12. A tangible computer-readable medium having computer-executable instructions stored thereon for: receiving a user query at a first location; extracting terms from the user query by parsing the terms from the user query on a term-by-term basis, determining if any terms in the user query are relevant to individual slots utilized by a search facility of a second location, and for those terms that are determined to be relevant to individual slots, filling those slots with the relevant terms; assigning the user query a ranking based on a weight assigned to at least a portion of the extracted terms; sending the user query to the second location for searching if the ranking of the terms meets a predetermined threshold and searching the user query at the second location; searching the user query at the first location if the ranking of the user query does not meet the predetermined threshold; and receiving a response from one of the first location or the second location. 14. The computer-readable medium of claim 12 , further comprising normalizing the terms within the user queries to forms such that the second location can interpret the user query. | 0.540816 |
8,073,869 | 7 | 11 | 7. The method of claim 1 where returning the top-t records in R Q for a given value t, ranked by their relevancy to the query comprises maintaining a session cache for each user where each session cache keeps keywords that the user has input in the past and other information for each keyword, including its corresponding trie node and the top-t predicted records. | 7. The method of claim 1 where returning the top-t records in R Q for a given value t, ranked by their relevancy to the query comprises maintaining a session cache for each user where each session cache keeps keywords that the user has input in the past and other information for each keyword, including its corresponding trie node and the top-t predicted records. 11. The method of claim 7 where prefix queries p 1 , p 2 ; : : : ; p x have been cached, further comprising inputting a new query p′=c 1 c 2 : : : c i c′ : : : c y , finding p i that has a longest prefix with p′, using node n i of p i to incrementally answer the new query p′ by inserting the characters after the longest prefix of the new query c′ : : : c y one by one, if there exists a cached keyword p i =p′, using the cached top-t records of p i to directly answer the query p′; otherwise if there is no such cached keyword, answering the query without use of any cache. | 0.737989 |
7,616,342 | 1 | 9 | 1. A method, comprising: providing an imaging data stream language encompassing print command languages in which a plurality of objects to be rendered are divided into a plurality of categories, wherein each object among said plurality of objects are utilized in association with a plurality of callouts, wherein said imaging data stream language comprises a Line Conditioned Data Stream (LCDS) language; and processing each object among said plurality of objects separately from each callout among said plurality of callouts, thereby permitting any of said objects among said plurality of objects to be utilized with any callout among said plurality of callouts in order to efficiently render said plurality of objects utilizing said imaging data stream language. | 1. A method, comprising: providing an imaging data stream language encompassing print command languages in which a plurality of objects to be rendered are divided into a plurality of categories, wherein each object among said plurality of objects are utilized in association with a plurality of callouts, wherein said imaging data stream language comprises a Line Conditioned Data Stream (LCDS) language; and processing each object among said plurality of objects separately from each callout among said plurality of callouts, thereby permitting any of said objects among said plurality of objects to be utilized with any callout among said plurality of callouts in order to efficiently render said plurality of objects utilizing said imaging data stream language. 9. The method of claim 1 further comprising rendering said at least one object among said plurality objects utilizing an electronic document processing system. | 0.822545 |
9,123,332 | 1 | 5 | 1. A method, comprising: transcribing via a processor a plurality of spoken utterances occurring during a call; assigning each of the plurality of spoken utterances with a corresponding set of classifications; determining a confidence rating associated with each of the plurality of spoken utterances and the assigned set of classifications; and performing at least one of: reclassifying the plurality of spoken utterances with new classifications based on at least one additional classification operation, and adding the assigned classifications and the corresponding plurality of spoken utterances to a training data set. | 1. A method, comprising: transcribing via a processor a plurality of spoken utterances occurring during a call; assigning each of the plurality of spoken utterances with a corresponding set of classifications; determining a confidence rating associated with each of the plurality of spoken utterances and the assigned set of classifications; and performing at least one of: reclassifying the plurality of spoken utterances with new classifications based on at least one additional classification operation, and adding the assigned classifications and the corresponding plurality of spoken utterances to a training data set. 5. The method of claim 1 , wherein if determining the confidence rating associated with each of the plurality of spoken utterances produces confidence ratings that are below a predefined threshold then reclassifying the plurality of spoken utterances with new classifications based on at least two different classification operations. | 0.807382 |
4,569,051 | 1 | 6 | 1. A method block encoding binary data arranged in a data block of data words for later detection and correction of multiple word errors introduced by a subsequent processing step, the method comprising the steps of: deriving for each said data block of data words at least two check words for use in said error detection and correction, said check words being derived in accordance with a procedure by which said check words in combination are indicative of the location and magnitude of said introduced errors, each said check word being derived in dependence on all said data words in said data block and on all of the others of said check words derived for said data block; and association said check words with said data block. | 1. A method block encoding binary data arranged in a data block of data words for later detection and correction of multiple word errors introduced by a subsequent processing step, the method comprising the steps of: deriving for each said data block of data words at least two check words for use in said error detection and correction, said check words being derived in accordance with a procedure by which said check words in combination are indicative of the location and magnitude of said introduced errors, each said check word being derived in dependence on all said data words in said data block and on all of the others of said check words derived for said data block; and association said check words with said data block. 6. A method according to claim 1, wherein said check words are derived using a Reed-Solomon code. | 0.840461 |
7,720,845 | 11 | 12 | 11. The computer-implemented method according to claim 1 , wherein said comparing step further comprises identifying whether the differences between said first and second representations represent an addition of a document, a deletion of a document or a change to a document. | 11. The computer-implemented method according to claim 1 , wherein said comparing step further comprises identifying whether the differences between said first and second representations represent an addition of a document, a deletion of a document or a change to a document. 12. The computer-implemented method according to claim 11 , wherein said comparing step further comprises identifying whether said differences represent a change to at least one metatag of a document. | 0.5 |
8,868,587 | 1 | 2 | 1. A system comprising: a data processing apparatus; and a non-transitory computer storage medium encoded with a computer program, the program comprising data processing apparatus instructions that when executed by the data processing apparatus cause the data processing apparatus to perform operations comprising: receiving an original query from a user device, the query including a plurality of terms; determining that a term of the original query meets an inaccuracy criterion that is indicative of the term of the original query being a potentially inaccurate term in a context of the original query that is defined by the original query terms, wherein the determination is based at least in part on determining that a resource quality measure that is a measure of quality of resources identified as being responsive to the original query does not meet a resource quality measure threshold, and in response: identifying the term as a potentially inaccurate term; generating one or more derivative queries from the original query, each derivative query not including the potentially inaccurate term; for each of the one or more derivative queries, submitting the derivative query for a search of a resource corpus index of resources and receiving data identifying a respective set of resources that are determined to be responsive to the derivative query, wherein each resource is a web page resource hosted by a server and having a corresponding resource address; determining a corrected term based on the identified resources responsive to each of the one or more derivative queries, wherein the corrected term is determined based on respective sets of resources that are determined to be responsive to the one or more derivative queries and further determined independent of a set of resources identified as being responsive to the original query, and wherein the corrected term is a term that is different from the potentially inaccurate term; generating a corrected query that includes the terms of the original query that are not the potentially inaccurate term and that includes the corrected term substituted for the potentially inaccurate term; performing a search operation that uses the corrected query as input; and providing results of the search operation to the user device in response to the original query. | 1. A system comprising: a data processing apparatus; and a non-transitory computer storage medium encoded with a computer program, the program comprising data processing apparatus instructions that when executed by the data processing apparatus cause the data processing apparatus to perform operations comprising: receiving an original query from a user device, the query including a plurality of terms; determining that a term of the original query meets an inaccuracy criterion that is indicative of the term of the original query being a potentially inaccurate term in a context of the original query that is defined by the original query terms, wherein the determination is based at least in part on determining that a resource quality measure that is a measure of quality of resources identified as being responsive to the original query does not meet a resource quality measure threshold, and in response: identifying the term as a potentially inaccurate term; generating one or more derivative queries from the original query, each derivative query not including the potentially inaccurate term; for each of the one or more derivative queries, submitting the derivative query for a search of a resource corpus index of resources and receiving data identifying a respective set of resources that are determined to be responsive to the derivative query, wherein each resource is a web page resource hosted by a server and having a corresponding resource address; determining a corrected term based on the identified resources responsive to each of the one or more derivative queries, wherein the corrected term is determined based on respective sets of resources that are determined to be responsive to the one or more derivative queries and further determined independent of a set of resources identified as being responsive to the original query, and wherein the corrected term is a term that is different from the potentially inaccurate term; generating a corrected query that includes the terms of the original query that are not the potentially inaccurate term and that includes the corrected term substituted for the potentially inaccurate term; performing a search operation that uses the corrected query as input; and providing results of the search operation to the user device in response to the original query. 2. The system of claim 1 , wherein: determining that a term of the original query meets an inaccuracy criterion comprises determining that the term is typographically incorrect; generating one or more derivative queries from the original query comprises generating a derivative query that includes only the terms of the original query that are not the potentially inaccurate term. | 0.726619 |
8,271,264 | 1 | 13 | 1. A system for knowledge representation in a computer that can enable natural language communication with a computer, the system comprising: at least one hardware processor; at least one database configured to store at least one table, the at least one table configured to store associations between concepts in a body of text and associated concept identifiers; and a builder interfaced with the database, the builder configured to, when executed by the at least one hardware processor, construct a table that represents knowledge defined by a body of text comprising words and punctuation, the construction of the table comprising assigning a unique identifier to an observation concept defined by the body of text, building a tree comprising a plurality of sub-concepts by breaking the observation concept into sub-concepts by identifying a subject concept, a seam concept, and a relative concept, and joining sub-concepts into higher order sub-concepts until two or more sub-concepts join to form the concept, wherein said joining comprises constructing a binary concept by either joining the subject concept and the seam concept or joining the seam concept and the relative concept, and constructing a first higher order sub-concept by joining either the relative concept or the subject concept with the binary concept, assigning unique identifiers to each of the plurality of sub-concepts including the subject concept, the seam concept, the relative concept, the binary concept, and the first higher order sub-concept, wherein the unique identifiers assigned to the observation concept and each of the plurality of sub-concepts are generated according to the same scheme, and storing each of the concept and plurality of sub-concepts in a row in the at least one table, wherein each row comprises the concept or sub-concept, the unique identifier assigned to the concept or sub-concept, and the unique identifiers assigned to two or more lower order sub-concepts, if any, which were joined to form the concept or sub-concept; wherein the plurality of sub-concepts comprise at least each of the words and punctuation in the body of text. | 1. A system for knowledge representation in a computer that can enable natural language communication with a computer, the system comprising: at least one hardware processor; at least one database configured to store at least one table, the at least one table configured to store associations between concepts in a body of text and associated concept identifiers; and a builder interfaced with the database, the builder configured to, when executed by the at least one hardware processor, construct a table that represents knowledge defined by a body of text comprising words and punctuation, the construction of the table comprising assigning a unique identifier to an observation concept defined by the body of text, building a tree comprising a plurality of sub-concepts by breaking the observation concept into sub-concepts by identifying a subject concept, a seam concept, and a relative concept, and joining sub-concepts into higher order sub-concepts until two or more sub-concepts join to form the concept, wherein said joining comprises constructing a binary concept by either joining the subject concept and the seam concept or joining the seam concept and the relative concept, and constructing a first higher order sub-concept by joining either the relative concept or the subject concept with the binary concept, assigning unique identifiers to each of the plurality of sub-concepts including the subject concept, the seam concept, the relative concept, the binary concept, and the first higher order sub-concept, wherein the unique identifiers assigned to the observation concept and each of the plurality of sub-concepts are generated according to the same scheme, and storing each of the concept and plurality of sub-concepts in a row in the at least one table, wherein each row comprises the concept or sub-concept, the unique identifier assigned to the concept or sub-concept, and the unique identifiers assigned to two or more lower order sub-concepts, if any, which were joined to form the concept or sub-concept; wherein the plurality of sub-concepts comprise at least each of the words and punctuation in the body of text. 13. The system of claim 1 , wherein the body of text describes an item or product, and wherein the at least one table constructed by the builder to represent the item or product can be used to tag the item. | 0.728947 |
8,060,869 | 1 | 13 | 1. A method for providing a binary instrumentation using a binary instrumentation tool to detect memory problems in runtime application executing on a computer system, the method comprising: examining a source code of a runtime application to identify a function having an instruction that accesses memory on the computer system, wherein the source code includes a user provided executable code (UPE), the UPE including a function having an instruction that accesses memory; generating an annotation section when compiling the source code into an executable binary code by a compiler, the annotation section including one or more compiler annotations provided by the compiler for the identified function having one or more instructions, the compiler annotations defining essential functional characteristic data related to the identified function based on examination of the one or more instructions and providing guidelines for inserting checker codes, the generated annotation section associated with the executable binary code; defining and inserting a checker code into the original function code of the identified function to obtain a modified function code based on the guidelines provided by compiler annotations in the annotation section associated with the function, the checker code defined by the program error detector (PED); and generating a modified executable binary code of the runtime application by replacing the original function code of the identified function with the corresponding modified function code, the modified executable binary code generated by the PED based on the annotations associated with the identified function, the modified executable binary code invoking a checker upon execution of the appropriate function, the checker enabling efficient detection of program memory errors associated with the identified function, wherein the operations of examining, generating and defining are performed by a processor of a computer. | 1. A method for providing a binary instrumentation using a binary instrumentation tool to detect memory problems in runtime application executing on a computer system, the method comprising: examining a source code of a runtime application to identify a function having an instruction that accesses memory on the computer system, wherein the source code includes a user provided executable code (UPE), the UPE including a function having an instruction that accesses memory; generating an annotation section when compiling the source code into an executable binary code by a compiler, the annotation section including one or more compiler annotations provided by the compiler for the identified function having one or more instructions, the compiler annotations defining essential functional characteristic data related to the identified function based on examination of the one or more instructions and providing guidelines for inserting checker codes, the generated annotation section associated with the executable binary code; defining and inserting a checker code into the original function code of the identified function to obtain a modified function code based on the guidelines provided by compiler annotations in the annotation section associated with the function, the checker code defined by the program error detector (PED); and generating a modified executable binary code of the runtime application by replacing the original function code of the identified function with the corresponding modified function code, the modified executable binary code generated by the PED based on the annotations associated with the identified function, the modified executable binary code invoking a checker upon execution of the appropriate function, the checker enabling efficient detection of program memory errors associated with the identified function, wherein the operations of examining, generating and defining are performed by a processor of a computer. 13. The method for providing a binary instrumentation using a binary instrumentation tool to detect memory problems in runtime application executing on a computer system of claim 1 , wherein the PED is pre-defined based on type of compiler annotations associated with the function. | 0.76505 |
9,411,886 | 3 | 4 | 3. The method as recited in claim 2 , wherein calculating the probability p(w|Q) further includes, calculating the probability p(q|w) based on the translation probability t(q|w), calculating a probability of the internet query Q given the word w(p(Q|w)) as a product for all q of all the probabilities p(q|w), calculating a probability of the word w(p(w)) as the sum for all s in S of probabilities of w given the ad materials s(p(w|s)) times a probability of the ad materials s(p(s)), and calculating the probability p(w|Q) as proportional to the probability p(w) times the probability p(Q|w). | 3. The method as recited in claim 2 , wherein calculating the probability p(w|Q) further includes, calculating the probability p(q|w) based on the translation probability t(q|w), calculating a probability of the internet query Q given the word w(p(Q|w)) as a product for all q of all the probabilities p(q|w), calculating a probability of the word w(p(w)) as the sum for all s in S of probabilities of w given the ad materials s(p(w|s)) times a probability of the ad materials s(p(s)), and calculating the probability p(w|Q) as proportional to the probability p(w) times the probability p(Q|w). 4. The method as recited in claim 3 , wherein calculating the probability p(q|w) further includes making p(q|w) equal to the probability t(q|w). | 0.861004 |
10,089,286 | 1 | 2 | 1. A method of collaborative editing of a walkthrough, wherein steps in the walkthrough demonstrate interaction with a user interface, the method including: for each of a plurality of contributing authors, creating an editable version of a publisher's base walkthrough of a live application and storing the contributing author's walkthrough version; wherein the publisher's base and the contributing authors' walkthrough versions implement a series of activity steps that are configurable to be presented on an instruction layer that visually overlays the live application, flow of control among the activity steps is implemented by program code that is processed to coordinate presentation of the activity steps on the instruction layer that overlays a display generated by the live application, whereby performance by a user in accordance with instructions presented in the activity steps on the instruction layer causes interaction with the live application and advancing through the series of activity steps; receiving and storing edited contributing authors' walkthrough versions; transmitting, towards the publisher, data for display that elicits selection among the plurality of contributing authors' walkthrough versions; receiving the publisher's selection of at least one contributing author's walkthrough version to use in updating the publisher's base walkthrough; transmitting modifiable data for display that includes step facsimiles and an editable rendition of the activity steps of the selected contributing author's walkthrough version; and receiving publisher's acceptance of an edited activity step in the selected contributing author's version of the walkthrough and applying at least the publisher accepted activity step to the live application to update the step facsimiles. | 1. A method of collaborative editing of a walkthrough, wherein steps in the walkthrough demonstrate interaction with a user interface, the method including: for each of a plurality of contributing authors, creating an editable version of a publisher's base walkthrough of a live application and storing the contributing author's walkthrough version; wherein the publisher's base and the contributing authors' walkthrough versions implement a series of activity steps that are configurable to be presented on an instruction layer that visually overlays the live application, flow of control among the activity steps is implemented by program code that is processed to coordinate presentation of the activity steps on the instruction layer that overlays a display generated by the live application, whereby performance by a user in accordance with instructions presented in the activity steps on the instruction layer causes interaction with the live application and advancing through the series of activity steps; receiving and storing edited contributing authors' walkthrough versions; transmitting, towards the publisher, data for display that elicits selection among the plurality of contributing authors' walkthrough versions; receiving the publisher's selection of at least one contributing author's walkthrough version to use in updating the publisher's base walkthrough; transmitting modifiable data for display that includes step facsimiles and an editable rendition of the activity steps of the selected contributing author's walkthrough version; and receiving publisher's acceptance of an edited activity step in the selected contributing author's version of the walkthrough and applying at least the publisher accepted activity step to the live application to update the step facsimiles. 2. The method of claim 1 , further including applying activity steps subsequent to the edited activity step to update the step facsimiles using and updating the step facsimiles data for display. | 0.732782 |
9,185,125 | 47 | 67 | 47. A non-transitory computer-readable medium having one or more instructions stored thereon for detecting threats on a network, wherein the one or more instructions, when executed by a processor, cause the processor to: capture target network traffic being transmitted between two or more hosts, wherein the target network traffic comprises a plurality of packets; assemble the plurality of packets into one or more messages; parse the assembled one or more messages to generate a semantic model of the target network traffic, wherein the semantic model comprises one or more representations of one or more operations or events represented by the one or more messages; generate one or more scores for the one or more operations or events using a plurality of scoring algorithms; and identify one or more potentially threatening ones of the one or more operations or events based on the one or more scores. | 47. A non-transitory computer-readable medium having one or more instructions stored thereon for detecting threats on a network, wherein the one or more instructions, when executed by a processor, cause the processor to: capture target network traffic being transmitted between two or more hosts, wherein the target network traffic comprises a plurality of packets; assemble the plurality of packets into one or more messages; parse the assembled one or more messages to generate a semantic model of the target network traffic, wherein the semantic model comprises one or more representations of one or more operations or events represented by the one or more messages; generate one or more scores for the one or more operations or events using a plurality of scoring algorithms; and identify one or more potentially threatening ones of the one or more operations or events based on the one or more scores. 67. The non-transitory computer-readable medium of claim 47 , wherein assembling the plurality of packets into one or more messages comprises: synchronizing the plurality of packets; sorting each of the plurality of packets into one of two host queues according to the transmission direction of the packet; processing the two host queues into a single push queue by alternately processing the packets in one of the two host queues until a packet is encountered which cannot be disposed of or the host queue is empty and then processing the packets in the other one of the two host queues until a packet is encountered that cannot be disposed of or the host queue is empty; if loss of a packet is detected, generating a synthetic gap packet to stand in for the lost packet; and bundling packets in the single push queue into the one or more messages, wherein each of the one or more messages is a request message or a response message. | 0.5 |
9,860,262 | 4 | 6 | 4. The method of claim 3 , further comprising the steps of: selecting one or more of the zeta words to be anchor words; encoding in a vector a ζ , the probabilities of the anchor words, given that the process snippet contains one or more zeta words; creating a sparse vector a μ , that estimates the probabilities for the non-zeta words in the process snippet; and combining by direct weighted sum the vector a ζ and the parse vector a μ into the sparse vector a of the process dot:
a=b ζ a ζ ⊕b μ a μ with weights b ζ and b μ . | 4. The method of claim 3 , further comprising the steps of: selecting one or more of the zeta words to be anchor words; encoding in a vector a ζ , the probabilities of the anchor words, given that the process snippet contains one or more zeta words; creating a sparse vector a μ , that estimates the probabilities for the non-zeta words in the process snippet; and combining by direct weighted sum the vector a ζ and the parse vector a μ into the sparse vector a of the process dot:
a=b ζ a ζ ⊕b μ a μ with weights b ζ and b μ . 6. The method of claim 4 , further comprising the step of maintaining a white list of non-zeta words that are randomly selected among possible candidates. | 0.594737 |
8,269,790 | 1 | 4 | 1. A computer-implemented method for rendering one or more graphical hierarchical diagrams for display by a display device, the method comprising: receiving selection of a first graphic definition for rendering a first graphical hierarchical diagram, the first graphic definition specifying a first graphical element; in response to the selection of the first graphic definition, rendering the first graphical element within the first graphical hierarchical diagram in a drawing pane on the display device; receiving content text within the first graphical element; receiving a first customization to a presentation property of the first graphical element; updating the presentation property of the first graphical element with the first customization; receiving a second customization to a semantic property of the first graphical element; updating the semantic property of the first graphical element with the second customization; receiving a selection of a second graphic definition; and in response to the selection of the second graphic definition, rendering a second graphical hierarchical diagram comprising a second graphical element that includes the content text and the updated semantic property but not the updated presentation property. | 1. A computer-implemented method for rendering one or more graphical hierarchical diagrams for display by a display device, the method comprising: receiving selection of a first graphic definition for rendering a first graphical hierarchical diagram, the first graphic definition specifying a first graphical element; in response to the selection of the first graphic definition, rendering the first graphical element within the first graphical hierarchical diagram in a drawing pane on the display device; receiving content text within the first graphical element; receiving a first customization to a presentation property of the first graphical element; updating the presentation property of the first graphical element with the first customization; receiving a second customization to a semantic property of the first graphical element; updating the semantic property of the first graphical element with the second customization; receiving a selection of a second graphic definition; and in response to the selection of the second graphic definition, rendering a second graphical hierarchical diagram comprising a second graphical element that includes the content text and the updated semantic property but not the updated presentation property. 4. The computer-implemented method of claim 1 , wherein the presentation property is a property that is applicable to the selected first graphic definition. | 0.765766 |
7,698,331 | 16 | 18 | 16. A processor-readable medium having processor-executable code thereon for enabling and performing operations to generate a search result list in response to a search query from a searcher using a computer network, the operations comprising: (a) maintaining a first database including a first plurality of search listings comprising sponsored search listings having a sponsored content; (b) maintaining a second database including documents having a general web content; (c) receiving a search query from the searcher; (d) identifying from the first database a first set of search listings comprising sponsored search listings having documents generating a match with the search query, and from the second database a second set of search listings comprising general web listings having documents generating a match with the same search query as used to identify the sponsored first set of search listings; (e) determining a confidence score for each listing from the first set of search listings wherein the confidence score is determined in accordance with a relevance of each listing when compared to the listings of the second set of search listings after execution of step (d); and (f) ordering the sponsored first set of search listings in accordance, at least in part, with the confidence score for each search listing thereof, wherein the sponsored first set of search listings are associated with at least one feature different than the relevance of each search listing when compared to the listings of the second set of search listings, and the sponsored first set of search listings are further ordered in accordance with the at least one feature, the at least one feature comprising any of a number of clicks, a click-through rate, and a conversion rate derived from historical click-through and conversion data from user activity on the sponsored first set of search listings; (g) computing a plurality of demotion terms related to a plurality of the top-ranked sponsored first set of search listings, wherein the demotion terms capture non-ideal characteristics thereof; (h) updating the confidence score of each of the top-ranked sponsored first set of search listings based on the plurality of demotion terms; and (i) re-ranking the top-ranked sponsored first set of search listings according to the updated confidence scores. | 16. A processor-readable medium having processor-executable code thereon for enabling and performing operations to generate a search result list in response to a search query from a searcher using a computer network, the operations comprising: (a) maintaining a first database including a first plurality of search listings comprising sponsored search listings having a sponsored content; (b) maintaining a second database including documents having a general web content; (c) receiving a search query from the searcher; (d) identifying from the first database a first set of search listings comprising sponsored search listings having documents generating a match with the search query, and from the second database a second set of search listings comprising general web listings having documents generating a match with the same search query as used to identify the sponsored first set of search listings; (e) determining a confidence score for each listing from the first set of search listings wherein the confidence score is determined in accordance with a relevance of each listing when compared to the listings of the second set of search listings after execution of step (d); and (f) ordering the sponsored first set of search listings in accordance, at least in part, with the confidence score for each search listing thereof, wherein the sponsored first set of search listings are associated with at least one feature different than the relevance of each search listing when compared to the listings of the second set of search listings, and the sponsored first set of search listings are further ordered in accordance with the at least one feature, the at least one feature comprising any of a number of clicks, a click-through rate, and a conversion rate derived from historical click-through and conversion data from user activity on the sponsored first set of search listings; (g) computing a plurality of demotion terms related to a plurality of the top-ranked sponsored first set of search listings, wherein the demotion terms capture non-ideal characteristics thereof; (h) updating the confidence score of each of the top-ranked sponsored first set of search listings based on the plurality of demotion terms; and (i) re-ranking the top-ranked sponsored first set of search listings according to the updated confidence scores. 18. The processor-readable medium of claim 16 , wherein the at least one feature is selected from the group consisting of whether a match occurred in an abstract, whether a match occurred in a display host, whether a match occurred in an algorithmically generated keyword, and whether a match occurred in an algorithmically generated summary. | 0.5 |
8,175,881 | 10 | 11 | 10. The method according to claim 9 , wherein corresponding each formant frequency comprises estimating a similarity of each formant frequency of the formant parameter between two of the corresponded frames; and corresponding two formant frequencies having a similarity above a threshold in the two corresponded frames. | 10. The method according to claim 9 , wherein corresponding each formant frequency comprises estimating a similarity of each formant frequency of the formant parameter between two of the corresponded frames; and corresponding two formant frequencies having a similarity above a threshold in the two corresponded frames. 11. The method according to claim 10 , wherein corresponding two formant frequencies comprises, if the similarity is not above the threshold, generating a virtual formant having zero power and the same formant frequency as one of the two formant frequencies; and corresponding the virtual formant with the one of the two formant frequencies. | 0.5 |
7,802,182 | 15 | 18 | 15. A computer readable storage medium comprising instructions that when executed by a processor cause a system to: provide portal configuration information that contains functional characteristics for the web portal; provide a set of temporary files that provide one or more presentation characteristics for the web portal; generate a preview document, wherein the preview document is a web page, and wherein the preview document utilizes the portal configuration information for the functional characteristics of the portal, and the temporary files for the presentation characteristics of the web portal, and wherein the preview document includes an instruction set that when processed by an application at a client renders the preview document in a web browser; detect, at the web browser, a cursor positioned over one of said one or more sections of the web portal, wherein the instruction set is read and executed by the application to present, in a graphical overlay at the web browser, an identity of the one or more style properties affecting the one of said one or more sections while the cursor is positioned over the one of said one or more sections, wherein the one or more style properties affecting the section is derived from a structured style sheet, and wherein the identity of the one or more style properties affecting the section includes an indication of whether the one or more style properties is inherited; present the graphical overlay at the web browser to show the one or more style properties affecting the one of said one or more sections that has the cursor positioned over; receive a modification of the set of temporary files, wherein the modification changes the one or more one or more style properties affecting the presentation characteristic of the web portal, wherein the web portal includes one or more sections, each section affected by the one or more style properties; and wherein a request is sent to accept modifications to the set of temporary files, and wherein accepting the modifications initiates a copy process to update the portal configuration information to include the set of temporary files as modified. | 15. A computer readable storage medium comprising instructions that when executed by a processor cause a system to: provide portal configuration information that contains functional characteristics for the web portal; provide a set of temporary files that provide one or more presentation characteristics for the web portal; generate a preview document, wherein the preview document is a web page, and wherein the preview document utilizes the portal configuration information for the functional characteristics of the portal, and the temporary files for the presentation characteristics of the web portal, and wherein the preview document includes an instruction set that when processed by an application at a client renders the preview document in a web browser; detect, at the web browser, a cursor positioned over one of said one or more sections of the web portal, wherein the instruction set is read and executed by the application to present, in a graphical overlay at the web browser, an identity of the one or more style properties affecting the one of said one or more sections while the cursor is positioned over the one of said one or more sections, wherein the one or more style properties affecting the section is derived from a structured style sheet, and wherein the identity of the one or more style properties affecting the section includes an indication of whether the one or more style properties is inherited; present the graphical overlay at the web browser to show the one or more style properties affecting the one of said one or more sections that has the cursor positioned over; receive a modification of the set of temporary files, wherein the modification changes the one or more one or more style properties affecting the presentation characteristic of the web portal, wherein the web portal includes one or more sections, each section affected by the one or more style properties; and wherein a request is sent to accept modifications to the set of temporary files, and wherein accepting the modifications initiates a copy process to update the portal configuration information to include the set of temporary files as modified. 18. The computer readable storage medium of claim 15 , wherein a name of the one or more style properties affecting the section is presented in the graphical overlay. | 0.659836 |
8,595,221 | 1 | 5 | 1. A method of identifying web pages of a world wide web having relevance to a first file, comprising: identifying a plurality of web pages within the world wide web, wherein the plurality of web pages each have a relationship with the first file, wherein the world wide web provides a platform for sharing web pages, and wherein each web page includes a document or information resource that is suitable for the world wide web and is accessible through a web browser; generating, by a system server, a list of inquiries based on the plurality of web pages, wherein the list of inquiries includes search terms used in a search that identified the plurality of web pages; providing, by the system server, the list of inquiries to at least one author of the first file; receiving from the at least one author at least one response to the list of inquiries; selecting a subset of the plurality of web pages based on the at least one response; storing information related to the selected subset of the plurality of web pages for access if the first file is selected; providing, by the system server, the selected subset of the plurality of web pages to a user that selects the first file; and identifying the at least one author to the user. | 1. A method of identifying web pages of a world wide web having relevance to a first file, comprising: identifying a plurality of web pages within the world wide web, wherein the plurality of web pages each have a relationship with the first file, wherein the world wide web provides a platform for sharing web pages, and wherein each web page includes a document or information resource that is suitable for the world wide web and is accessible through a web browser; generating, by a system server, a list of inquiries based on the plurality of web pages, wherein the list of inquiries includes search terms used in a search that identified the plurality of web pages; providing, by the system server, the list of inquiries to at least one author of the first file; receiving from the at least one author at least one response to the list of inquiries; selecting a subset of the plurality of web pages based on the at least one response; storing information related to the selected subset of the plurality of web pages for access if the first file is selected; providing, by the system server, the selected subset of the plurality of web pages to a user that selects the first file; and identifying the at least one author to the user. 5. The method of claim 1 , further comprising providing a hyperlink between the first file and the selected subset of the plurality of web pages, wherein the hyperlink influences a ranking of search results that include at least one of the first file and the plurality of web pages. | 0.787009 |
10,043,088 | 1 | 14 | 1. A method for image quality scoring of an image from a medical scanner, the method comprising: generating, by the medical scanner, the image representing a patient, the image having a level of artifacts due to the generating by the medical scanner; determining, by a machine, a probability map of artifacts as a function of location for the image with a deep generative machine-learnt model; assigning, by the machine, a quality score for the image with application of the probability map to a discriminative machine-learnt classifier; and transmitting the quality score for the image of the patient. | 1. A method for image quality scoring of an image from a medical scanner, the method comprising: generating, by the medical scanner, the image representing a patient, the image having a level of artifacts due to the generating by the medical scanner; determining, by a machine, a probability map of artifacts as a function of location for the image with a deep generative machine-learnt model; assigning, by the machine, a quality score for the image with application of the probability map to a discriminative machine-learnt classifier; and transmitting the quality score for the image of the patient. 14. The method of claim 1 further comprising scanning the patient again with the medical scanner in response to the quality score. | 0.837905 |
7,693,704 | 6 | 7 | 6. An apparatus for selecting content words from a document based on degree of relevance to a cited document, implemented using a computer system including a processor, memory, and computer programs executed by the processor, wherein the processor interacts with a human user through a user interface, the apparatus comprising: means implemented by the computer system for pairing paragraphs of at least a first document, wherein at least a first paragraph of the pair of paragraphs contains at least one citing instance of a second, cited document; means implemented by the computer system for processing text in the pair of paragraphs to eliminate text that conveys little about the content of the paragraphs; means implemented by the computer system for identifying content words that are not eliminated by the processing means and that are common to both paragraphs of the pair of paragraphs; means implemented by the computer system for tallying a frequency count for each identified content word by adding one to the number of times the identified content word is in both paragraphs of the pair of paragraphs; and means implemented by the computer system for forming a content word list including the identified content words linked to respective content scores. | 6. An apparatus for selecting content words from a document based on degree of relevance to a cited document, implemented using a computer system including a processor, memory, and computer programs executed by the processor, wherein the processor interacts with a human user through a user interface, the apparatus comprising: means implemented by the computer system for pairing paragraphs of at least a first document, wherein at least a first paragraph of the pair of paragraphs contains at least one citing instance of a second, cited document; means implemented by the computer system for processing text in the pair of paragraphs to eliminate text that conveys little about the content of the paragraphs; means implemented by the computer system for identifying content words that are not eliminated by the processing means and that are common to both paragraphs of the pair of paragraphs; means implemented by the computer system for tallying a frequency count for each identified content word by adding one to the number of times the identified content word is in both paragraphs of the pair of paragraphs; and means implemented by the computer system for forming a content word list including the identified content words linked to respective content scores. 7. The apparatus of claim 6 , wherein the paragraph pairing means includes: means for pairing paragraphs from at least a first document that contains citing instances of the second, cited document, and wherein each paragraph of the pair of paragraphs contains at least one citing instance of the second, cited document. | 0.595178 |
8,229,936 | 15 | 18 | 15. A method comprising: generating, by a computing system, a call through an application program interface (API); determining, by said computing system using said API in response to said call, an internal functionality of said computing system; presenting, by said computing system in response to said call, an user accessible content filter perspective user interface to a user; receiving, by said computing system from said user through said user accessible content filter perspective user interface, known user accessible input data associated with specified user accessible filter perspective content; determining, by a processor of said computing system in response to said known user accessible input data, a plurality of address space coordinates cross-referenced to said specified user accessible filter perspective content to be retrieved from a plurality of different storage sources simultaneously; simultaneously retrieving from a plurality of different storage sources, by said computing system in response to said plurality of address space coordinates, said specified user accessible filter perspective content; determining, by said computing system in response said known user accessible input data, a specified filtered perspective for viewing said specified user accessible filter perspective content retrieved from said plurality of different storage sources; and presenting, by said computing system to said user, said specified user accessible filter perspective content retrieved from said plurality of different storage sources using said specified perspective filter. | 15. A method comprising: generating, by a computing system, a call through an application program interface (API); determining, by said computing system using said API in response to said call, an internal functionality of said computing system; presenting, by said computing system in response to said call, an user accessible content filter perspective user interface to a user; receiving, by said computing system from said user through said user accessible content filter perspective user interface, known user accessible input data associated with specified user accessible filter perspective content; determining, by a processor of said computing system in response to said known user accessible input data, a plurality of address space coordinates cross-referenced to said specified user accessible filter perspective content to be retrieved from a plurality of different storage sources simultaneously; simultaneously retrieving from a plurality of different storage sources, by said computing system in response to said plurality of address space coordinates, said specified user accessible filter perspective content; determining, by said computing system in response said known user accessible input data, a specified filtered perspective for viewing said specified user accessible filter perspective content retrieved from said plurality of different storage sources; and presenting, by said computing system to said user, said specified user accessible filter perspective content retrieved from said plurality of different storage sources using said specified perspective filter. 18. The method of claim 15 , wherein said determining said plurality of coordinates cross-referenced to said specified user accessible filter perspective content comprises: selecting, by said computing system, an X coordinate, a Y coordinate, and a Z coordinate referenced to said specified user accessible filter perspective content; and cross-referencing, by said computing system, said X coordinate, said Y coordinate, and said Z coordinate to an address internal to said computing system. | 0.804452 |
9,971,831 | 1 | 5 | 1. A method of processing complex queries, comprising: detecting a first query directed towards a dataset which satisfies a size criterion, wherein the first query includes a set of initial predicates and results in a first result set; identifying one or more new predicates from the result set, wherein the one or more new predicates are not within the set of initial predicates; detecting a second query directed towards the dataset, wherein the second query is the same as the first query; determining that predicates of the one or more new predicates filter a threshold amount of tuples of an initial set of tuples; determining an order of the one or more new predicates such that a new predicate which filters relatively more tuples of the initial set of tuples is before a new predicate which filters relatively less tuples of the initial set of tuples; and utilizing the one or more new predicates to process the second query in the order and determine a second result set for the second query. | 1. A method of processing complex queries, comprising: detecting a first query directed towards a dataset which satisfies a size criterion, wherein the first query includes a set of initial predicates and results in a first result set; identifying one or more new predicates from the result set, wherein the one or more new predicates are not within the set of initial predicates; detecting a second query directed towards the dataset, wherein the second query is the same as the first query; determining that predicates of the one or more new predicates filter a threshold amount of tuples of an initial set of tuples; determining an order of the one or more new predicates such that a new predicate which filters relatively more tuples of the initial set of tuples is before a new predicate which filters relatively less tuples of the initial set of tuples; and utilizing the one or more new predicates to process the second query in the order and determine a second result set for the second query. 5. The method of claim 1 , wherein the size criterion includes a threshold number of tuples of the first result set. | 0.771654 |
8,732,181 | 16 | 18 | 16. A non-transitory computer-readable storage medium storing instructions for comparing annotations within files, the instructions causing one or more computer processors to perform operations, comprising: receiving a first file and a second file for comparison; determining data associated with a first annotation in the first file; determining data associated with a second annotation in the second file; determining that at least some of the data associated with the first annotation corresponds with at least some of the data associated with the second annotation, and comparing the first annotation and the second annotation to create an annotation comparison output that includes compared annotation text representing differences between text in the first annotation and text in the second annotation. | 16. A non-transitory computer-readable storage medium storing instructions for comparing annotations within files, the instructions causing one or more computer processors to perform operations, comprising: receiving a first file and a second file for comparison; determining data associated with a first annotation in the first file; determining data associated with a second annotation in the second file; determining that at least some of the data associated with the first annotation corresponds with at least some of the data associated with the second annotation, and comparing the first annotation and the second annotation to create an annotation comparison output that includes compared annotation text representing differences between text in the first annotation and text in the second annotation. 18. The non-transitory computer-readable storage medium of claim 16 , the operations further comprising: comparing the first file and the second file to create a file comparison output; and incorporating the annotation comparison output into the file comparison output. | 0.5 |
7,779,122 | 16 | 17 | 16. A computer program product, comprising a computer non-transitory storage medium having a computer readable program code embodied therein, said computer readable program code containing instructions that when executed by a processor of a computing system implement a method of automatically identifying an optimal set of attributes of entities to facilitate generating best practices for configuring a networked system, said method comprising: ranking, based on a plurality of information gain values, a plurality of entity types of a plurality of entities included in said networked system; determining, subsequent to said ranking, a first classification accuracy relative to a first entity type, wherein said first entity type is a highest ranked entity type of said plurality of entity types based on said ranking or is a first aggregate entity type associated with two or more entity types of said plurality of entity types; selecting, subsequent to said determining said first measurement, a second entity type of said plurality of entity types, wherein said selecting is based on said ranking; performing a database join operation on a first set of one or more attributes of one or more entities of said first entity type and a second set of one or more attributes of one or more entities of said second entity type, wherein a result of said performing is a second aggregate entity type; determining a second classification accuracy relative to said second aggregate entity type; determining that said second classification accuracy is less than or equal to said first classification accuracy; identifying, in response to said determining that said second measurement is less than or equal to said first measurement, an optimal set of one or more attributes as said first set of one or more attributes, wherein said optimal set contributes to a problem associated with said networked system; and storing said optimal set in a data repository coupled to said computing system. | 16. A computer program product, comprising a computer non-transitory storage medium having a computer readable program code embodied therein, said computer readable program code containing instructions that when executed by a processor of a computing system implement a method of automatically identifying an optimal set of attributes of entities to facilitate generating best practices for configuring a networked system, said method comprising: ranking, based on a plurality of information gain values, a plurality of entity types of a plurality of entities included in said networked system; determining, subsequent to said ranking, a first classification accuracy relative to a first entity type, wherein said first entity type is a highest ranked entity type of said plurality of entity types based on said ranking or is a first aggregate entity type associated with two or more entity types of said plurality of entity types; selecting, subsequent to said determining said first measurement, a second entity type of said plurality of entity types, wherein said selecting is based on said ranking; performing a database join operation on a first set of one or more attributes of one or more entities of said first entity type and a second set of one or more attributes of one or more entities of said second entity type, wherein a result of said performing is a second aggregate entity type; determining a second classification accuracy relative to said second aggregate entity type; determining that said second classification accuracy is less than or equal to said first classification accuracy; identifying, in response to said determining that said second measurement is less than or equal to said first measurement, an optimal set of one or more attributes as said first set of one or more attributes, wherein said optimal set contributes to a problem associated with said networked system; and storing said optimal set in a data repository coupled to said computing system. 17. The program product of claim 16 , wherein said method further comprises generating a set of best practices for configuring said networked system to avoid said problem, wherein a configuration of said networked system that follows said set of best practices excludes any entity having said optimal set of one or more attributes. | 0.590347 |
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