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8,984,098 | 1 | 5 | 1. A computer-implemented method comprising: obtaining a group of candidate content items for one or more streams of content from heterogeneous data sources; generating, with one or more processors, a model for a user comprising an interest of the user and a prior interaction of the user with the heterogeneous data sources; computing, with the one or more processors, an interestingness score for each candidate content item in the group by combining properties of each candidate content item over single-attribute properties using the model and based upon interestingness of each candidate content item to the user and an extent to which the candidate content item's popularity has changed within a geographic area associated with the user; comparing the interestingness score for each candidate content item with a threshold for a first interest type and a second interest type to determine which candidate content items have an interestingness score that exceeds the threshold for the first interest type or the second interest type; organizing a first content item and a second content item that have an interestingness score that exceeds the threshold in a first stream of content; providing the first stream of content for presentation in a first direction to the user; generating a user interface for configuring the one or more streams of content, the user interface comprising the first content item, the second content item and a marker, the marker associated with the second content item for the user to request a third content item related to the second content item; and responsive to receiving a selection of the marker associated with the second content item from the user, organizing the second and third content items in a second stream of content, providing the second stream of content for presentation in a second direction to the user, and updating the user interface to include the second stream of content. | 1. A computer-implemented method comprising: obtaining a group of candidate content items for one or more streams of content from heterogeneous data sources; generating, with one or more processors, a model for a user comprising an interest of the user and a prior interaction of the user with the heterogeneous data sources; computing, with the one or more processors, an interestingness score for each candidate content item in the group by combining properties of each candidate content item over single-attribute properties using the model and based upon interestingness of each candidate content item to the user and an extent to which the candidate content item's popularity has changed within a geographic area associated with the user; comparing the interestingness score for each candidate content item with a threshold for a first interest type and a second interest type to determine which candidate content items have an interestingness score that exceeds the threshold for the first interest type or the second interest type; organizing a first content item and a second content item that have an interestingness score that exceeds the threshold in a first stream of content; providing the first stream of content for presentation in a first direction to the user; generating a user interface for configuring the one or more streams of content, the user interface comprising the first content item, the second content item and a marker, the marker associated with the second content item for the user to request a third content item related to the second content item; and responsive to receiving a selection of the marker associated with the second content item from the user, organizing the second and third content items in a second stream of content, providing the second stream of content for presentation in a second direction to the user, and updating the user interface to include the second stream of content. 5. The method of claim 1 , wherein the first direction is vertical and the second direction is horizontal. | 0.836923 |
8,924,414 | 11 | 16 | 11. A non-transitory computer readable medium having code for causing at least one computer processor to facilitate document retrieval in an electronic document management system by performing the steps of: identifying, by at least one processor, one or more user-specific naming patterns in metadata created by a first user in connection with a plurality of documents that the first user has a first entitlement to access; recording, by at least one processor and in a storage medium, said identified one or more user-specific naming patterns in at least one of a naming patterns file (NPF), database, and lookup table with entries corresponding to said first user; and modifying, by at least one processor and based on the recorded user-specific naming patterns, at least a portion of the metadata created by the first user to improve searchability by other users, the modified metadata being available in a document query for one or more of the plurality of documents by a second user, the second user having a second entitlement that is equivalent or similar to the first entitlement such that the second user is entitled to access at least some of the plurality of documents. | 11. A non-transitory computer readable medium having code for causing at least one computer processor to facilitate document retrieval in an electronic document management system by performing the steps of: identifying, by at least one processor, one or more user-specific naming patterns in metadata created by a first user in connection with a plurality of documents that the first user has a first entitlement to access; recording, by at least one processor and in a storage medium, said identified one or more user-specific naming patterns in at least one of a naming patterns file (NPF), database, and lookup table with entries corresponding to said first user; and modifying, by at least one processor and based on the recorded user-specific naming patterns, at least a portion of the metadata created by the first user to improve searchability by other users, the modified metadata being available in a document query for one or more of the plurality of documents by a second user, the second user having a second entitlement that is equivalent or similar to the first entitlement such that the second user is entitled to access at least some of the plurality of documents. 16. The non-transitory computer readable medium according to claim 11 , wherein the one or more patterns are identified by processing two or more of the plurality of documents in a batch. | 0.750667 |
9,536,453 | 2 | 3 | 2. The computing system of claim 1 , wherein the modified video presentation is rendered simultaneously with a different video presentation that includes the one or more items, the modified video presentation and the different video presentation being rendered together as a single blended presentation. | 2. The computing system of claim 1 , wherein the modified video presentation is rendered simultaneously with a different video presentation that includes the one or more items, the modified video presentation and the different video presentation being rendered together as a single blended presentation. 3. The computing system of claim 2 , wherein the different video presentation includes audio with spoken words and wherein the modified video presentation and different video presentation are synchronized for display in the blended presentation in such a manner that the sign language is rendered contemporaneously with the spoken words. | 0.5 |
7,880,730 | 23 | 26 | 23. The system of claim 22 , wherein objects in memory are further associated with at least one module, wherein said module comprises a set of objects having at least one common characteristic or that is generated by a common process/algorithm or alternate method of interpreting said current input sequence. | 23. The system of claim 22 , wherein objects in memory are further associated with at least one module, wherein said module comprises a set of objects having at least one common characteristic or that is generated by a common process/algorithm or alternate method of interpreting said current input sequence. 26. The system of claim 23 , wherein for multiple concurrent languages, said system automatically switches the order of the objects based on which module supplied one or more preceding selected objects. | 0.929123 |
8,787,616 | 24 | 30 | 24. An article of manufacture comprising software stored on a non-transitory computer readable storage medium, the software comprising: a post office application in a post office that includes an interface for a user to input a first stamp number corresponding to the user and to specify document processing instructions corresponding to the first stamp number that are stored in the post office; a mailman application that receives a new scanned document, processes the new scanned document to determine a second stamp number on a stamp on the new scanned document, where the second stamp number comprises an identification number on the stamp, wherein the identification number on the stamp is the same for each stamp in a roll of stamps assigned to the user, the mailman application including an interface for communicating with the post office application; and the post office application receiving from the mailman application the second stamp number corresponding to the new scanned document, determining the second stamp number matches the first stamp number entered by the user; determining from the user input the document processing instructions corresponding to the first stamp number, and returning to the mailman application the document processing instructions corresponding to the first stamp number that define how to process the new scanned document. | 24. An article of manufacture comprising software stored on a non-transitory computer readable storage medium, the software comprising: a post office application in a post office that includes an interface for a user to input a first stamp number corresponding to the user and to specify document processing instructions corresponding to the first stamp number that are stored in the post office; a mailman application that receives a new scanned document, processes the new scanned document to determine a second stamp number on a stamp on the new scanned document, where the second stamp number comprises an identification number on the stamp, wherein the identification number on the stamp is the same for each stamp in a roll of stamps assigned to the user, the mailman application including an interface for communicating with the post office application; and the post office application receiving from the mailman application the second stamp number corresponding to the new scanned document, determining the second stamp number matches the first stamp number entered by the user; determining from the user input the document processing instructions corresponding to the first stamp number, and returning to the mailman application the document processing instructions corresponding to the first stamp number that define how to process the new scanned document. 30. The article of manufacture of claim 24 wherein the document processing instructions specify to process the new scanned document to generate the new scanned document in a different format. | 0.602083 |
7,516,063 | 8 | 9 | 8. A method for storing data comprising: forming a tree-type taxonomy for word roots, the upper level of the taxonomy divided into a plurality of classes, each class divided into a plurality of subclasses at a lower level of the taxonomy, each level of the taxonomy represented by a field in each word root; combining a plurality of the word roots to form a word, each word root forming the word representing a characteristic of the word; and storing the word. | 8. A method for storing data comprising: forming a tree-type taxonomy for word roots, the upper level of the taxonomy divided into a plurality of classes, each class divided into a plurality of subclasses at a lower level of the taxonomy, each level of the taxonomy represented by a field in each word root; combining a plurality of the word roots to form a word, each word root forming the word representing a characteristic of the word; and storing the word. 9. The method of claim 8 wherein taxonomy for word roots includes conventions whereby the class and subclasses represented by fields of a word root are altered based on the fields of other word roots combined with the word root to form the word. | 0.5 |
9,002,869 | 5 | 6 | 5. The method of claim 1 , further comprising: identifying a search result access log identifying search queries and corresponding snippets, each record in the search result access log identifying a respective stored search query and a corresponding snippet, the snippet of a respective stored search query being a portion of content from a document accessed by a user, the document having been presented to the user as a search result in response to receiving the respective stored search query; and building a translation model trained on the search queries and the corresponding snippets including using the search queries from the search result access log as a source language for the translation model and the corresponding snippets as a target language for the translation model, wherein using statistical machine translation to translate the initial search query into a translated search query comprises providing the initial search query as input to the translation model trained on the search queries and the corresponding snippets and receiving the translated search query as output from the translation model trained on the search queries and the corresponding snippets. | 5. The method of claim 1 , further comprising: identifying a search result access log identifying search queries and corresponding snippets, each record in the search result access log identifying a respective stored search query and a corresponding snippet, the snippet of a respective stored search query being a portion of content from a document accessed by a user, the document having been presented to the user as a search result in response to receiving the respective stored search query; and building a translation model trained on the search queries and the corresponding snippets including using the search queries from the search result access log as a source language for the translation model and the corresponding snippets as a target language for the translation model, wherein using statistical machine translation to translate the initial search query into a translated search query comprises providing the initial search query as input to the translation model trained on the search queries and the corresponding snippets and receiving the translated search query as output from the translation model trained on the search queries and the corresponding snippets. 6. The method of claim 5 , further comprising: filtering records from the search result access log based on respective information associated with each record, the respective information being one or more of: a position of the document with respect to other documents presented as search results to the user; an amount of time elapsed between having provided the search result to the user and the user accessing the document; and an amount of time elapsed between the user having accessed the document and the user performing a subsequent operation. | 0.5 |
9,449,253 | 14 | 18 | 14. A non-transitory computer readable storage medium having instructions stored thereon that, when executed by a processor, cause the processor to perform operations including: rendering a base output image with a procedural painting system controlled by one or more parameters, wherein the base output image is based on a received input image; calculating a score for the base output image, using a classifier trained to calculate a score based on how an image corresponds to a received painting style; determining a plurality of randomized sets of metaparameters for the procedural painting system, wherein each metaparameter comprises two or more parameters; rendering a plurality of intermediate output images by the procedural painting system, wherein the parameters of the procedural painting system for each intermediate output image in the plurality of intermediate output images are determined based on the plurality of randomized sets of metaparameters; calculating a score for each intermediate output image in the plurality of intermediate output images, using the trained classifier; and identifying an optimal set of metaparameters based on the calculated score for each intermediate output image. | 14. A non-transitory computer readable storage medium having instructions stored thereon that, when executed by a processor, cause the processor to perform operations including: rendering a base output image with a procedural painting system controlled by one or more parameters, wherein the base output image is based on a received input image; calculating a score for the base output image, using a classifier trained to calculate a score based on how an image corresponds to a received painting style; determining a plurality of randomized sets of metaparameters for the procedural painting system, wherein each metaparameter comprises two or more parameters; rendering a plurality of intermediate output images by the procedural painting system, wherein the parameters of the procedural painting system for each intermediate output image in the plurality of intermediate output images are determined based on the plurality of randomized sets of metaparameters; calculating a score for each intermediate output image in the plurality of intermediate output images, using the trained classifier; and identifying an optimal set of metaparameters based on the calculated score for each intermediate output image. 18. The non-transitory computer readable storage medium of claim 14 , the operations further comprising training a classifier to calculate a score based on how an image corresponds to the received painting style, using a machine learning algorithm, wherein the training comprises: receiving positive and negative samples for the received painting style; extracting image patches from the positive and negative samples; extracting one or more image features from the image patches; and using the machine learning algorithm to train the classifier to score image features of the received painting style. | 0.569484 |
8,989,496 | 3 | 5 | 3. The apparatus of claim 1 , the processing circuitry to generate time-series information comprising stroke data corresponding to the first strokes, the stroke data comprising a coordinate data series corresponding to points located on a locus of a stroke, a writing order of the first strokes recognizable in the stroke data, and to store the time-series information in a storage medium, the display circuitry to display loci corresponding to the first strokes on the display according to time-series information from the storage medium. | 3. The apparatus of claim 1 , the processing circuitry to generate time-series information comprising stroke data corresponding to the first strokes, the stroke data comprising a coordinate data series corresponding to points located on a locus of a stroke, a writing order of the first strokes recognizable in the stroke data, and to store the time-series information in a storage medium, the display circuitry to display loci corresponding to the first strokes on the display according to time-series information from the storage medium. 5. The apparatus of claim 3 , the processing circuitry to generate the time-series information based on the changed coordinates. | 0.861771 |
8,484,141 | 1 | 6 | 1. A method comprising: loading a first ontology associated with a first rule set, where an ontology is a formal representation of a set of concepts within a domain, and a set of relationships between the concepts; generating an extended ontology and an extended rule set based at least in part on the first ontology and the first rule set; applying the extended rule set to the extended ontology; determining, by a data processor, a correctness of the extended ontology, where the correctness is a weighted measurement of errors of the ontology and where the correctness is weighted based at least in part on a type of the errors; and generating results comprising the correctness of the extended ontology. | 1. A method comprising: loading a first ontology associated with a first rule set, where an ontology is a formal representation of a set of concepts within a domain, and a set of relationships between the concepts; generating an extended ontology and an extended rule set based at least in part on the first ontology and the first rule set; applying the extended rule set to the extended ontology; determining, by a data processor, a correctness of the extended ontology, where the correctness is a weighted measurement of errors of the ontology and where the correctness is weighted based at least in part on a type of the errors; and generating results comprising the correctness of the extended ontology. 6. The method of claim 1 , where the first rule set is configured in accordance with a sematic web rule language. | 0.732227 |
9,245,233 | 5 | 6 | 5. A computerized apparatus having a processor, the processor being adapted to perform the steps of: obtaining training data, the training data comprising a plurality of graphs, each defined by nodes and edges connecting between the nodes, wherein at least some of the nodes are labeled; determining a statistical model of a graph in accordance with the training data, the statistical model takes into account at least one structured and labeled feature of the graph, wherein the structured and labeled feature of the graph is defined based on a connection between a plurality of nodes and based on at least a portion of the labels of the plurality of nodes; based on the training data, building a consensus graph retaining information relating to the values of the structured and labeled feature in the plurality of graphs in the training data; obtaining an examined graph; and determining a score of the examined graph indicative of a similarity between the examined graph and the training data, wherein the score is based on a value of the structured and labeled feature in the examined graph, wherein said determining the score is performed by traversing the consensus graph and the examined graph to compare the values of the structured and labeled feature. | 5. A computerized apparatus having a processor, the processor being adapted to perform the steps of: obtaining training data, the training data comprising a plurality of graphs, each defined by nodes and edges connecting between the nodes, wherein at least some of the nodes are labeled; determining a statistical model of a graph in accordance with the training data, the statistical model takes into account at least one structured and labeled feature of the graph, wherein the structured and labeled feature of the graph is defined based on a connection between a plurality of nodes and based on at least a portion of the labels of the plurality of nodes; based on the training data, building a consensus graph retaining information relating to the values of the structured and labeled feature in the plurality of graphs in the training data; obtaining an examined graph; and determining a score of the examined graph indicative of a similarity between the examined graph and the training data, wherein the score is based on a value of the structured and labeled feature in the examined graph, wherein said determining the score is performed by traversing the consensus graph and the examined graph to compare the values of the structured and labeled feature. 6. The computerized apparatus of claim 5 , wherein the structured and labeled feature is one of the following features: a binary feature indicating existence of a labeled path in the graph; a binary feature indicating existence of a labeled, non-path, sub-tree topology; and a feature relating to a terminal value of a labeled path in the graph. | 0.5 |
8,745,488 | 14 | 15 | 14. The method of claim 12 , further comprising: accepting and storing, with the server, the image form document, the image form document having been generated based at least in part on the image document; accepting and storing, with the server, the one or more webpage form documents; and accepting and storing, with the server, one or more map documents, for navigating about the one or more webpage form documents when editing the webpage document. | 14. The method of claim 12 , further comprising: accepting and storing, with the server, the image form document, the image form document having been generated based at least in part on the image document; accepting and storing, with the server, the one or more webpage form documents; and accepting and storing, with the server, one or more map documents, for navigating about the one or more webpage form documents when editing the webpage document. 15. The method of claim 14 , further comprising generating the form data with the server and storing the form data in the database, the database being resident on at least one of the server or a separate database server. | 0.5 |
10,162,605 | 1 | 3 | 1. A system to complete a code snippet to define an object literal, the system comprising: memory; and one or more processors coupled to the memory, the one or more processors configured to: provide a proxy object to a function that is included in code; perform global dynamic analysis by using a getter trap that is included in the proxy object to extract information regarding one or more properties of the object literal from the code, which includes the function; and generate a recommendation that recommends content for completion of the code snippet to define the object literal based at least in part on the information, the content identifying the one or more properties of the object literal. | 1. A system to complete a code snippet to define an object literal, the system comprising: memory; and one or more processors coupled to the memory, the one or more processors configured to: provide a proxy object to a function that is included in code; perform global dynamic analysis by using a getter trap that is included in the proxy object to extract information regarding one or more properties of the object literal from the code, which includes the function; and generate a recommendation that recommends content for completion of the code snippet to define the object literal based at least in part on the information, the content identifying the one or more properties of the object literal. 3. The system of claim 1 , wherein the one or more processors are configured to infer one or more names of the one or more respective properties based at least in part on the information. | 0.808793 |
8,533,175 | 1 | 18 | 1. A computer implemented method for temporal and geographic presentation and navigation of linked cultural, artistic, and historic content, comprising the steps of: providing a processor configured to register collections of music and music-related information in a database and to make said collections of music and music-related information available to users, wherein said collections of music and music-related information are classified in said database by all of time, location, genre, and artist; and said processor configured to provide a navigation facility for user selection of a combination of all of time, location, genre, and artist in connection with said collections of music and said music-related information, and for generating and presenting to said user in response to said user selection a corresponding map that includes independent images of all of music, its history, and culture with regard to said collections of music and music-related information; wherein said culture presented on said map in response to said user selection comprises results that include independent images of all of fashion, film, literature, music, and news; wherein said processor is configured to generate and present to said user at least one animated mural comprising said images and that depicts a fundamental combination of time, place, genre, artist, and culture in connection with said music-related information; wherein said animated mural comprises a dynamically animated selection of said images derived from the user's current selection; and wherein said images further comprise any of regions, cities, artists, news items, fashion trends, movies, books, and genres of art. | 1. A computer implemented method for temporal and geographic presentation and navigation of linked cultural, artistic, and historic content, comprising the steps of: providing a processor configured to register collections of music and music-related information in a database and to make said collections of music and music-related information available to users, wherein said collections of music and music-related information are classified in said database by all of time, location, genre, and artist; and said processor configured to provide a navigation facility for user selection of a combination of all of time, location, genre, and artist in connection with said collections of music and said music-related information, and for generating and presenting to said user in response to said user selection a corresponding map that includes independent images of all of music, its history, and culture with regard to said collections of music and music-related information; wherein said culture presented on said map in response to said user selection comprises results that include independent images of all of fashion, film, literature, music, and news; wherein said processor is configured to generate and present to said user at least one animated mural comprising said images and that depicts a fundamental combination of time, place, genre, artist, and culture in connection with said music-related information; wherein said animated mural comprises a dynamically animated selection of said images derived from the user's current selection; and wherein said images further comprise any of regions, cities, artists, news items, fashion trends, movies, books, and genres of art. 18. The method of claim 1 , wherein said processor is configured to provide a location element for a fundamental relationship of music within a map interface; wherein said map is annotated with music related items of interest according to a selection category; and wherein items displayed are subject to a user's current filter settings. | 0.5 |
7,792,858 | 21 | 25 | 21. A system comprising: a processor; a memory coupled to the processor to store information related to keywords; and a keyword cluster generator, in data communication with the processor and the memory, the keyword cluster generator to order a list of keywords from high activity to low activity, the high activity corresponding to keywords with a statistically significant number of return on investment (ROI) events, the ROI events corresponding to revenue-generating events, partition the list into at least two sets, a head partition including keywords with an activity level above a predefined threshold, a tail partition including the remainder of the keywords in the list, model the keywords in the head partition based on a set of variables, the modeling including generating a revenue per click (RPC) value prediction for each of the keywords in the head partition, the RPC value prediction being based on the set of variables, past keyword revenue performance data, and historical bid density by category for each keyword, score the keywords in the head partition based on the modeling, and cluster head partition keywords with tail partition keywords having at least one common variable into at least one keyword cluster. | 21. A system comprising: a processor; a memory coupled to the processor to store information related to keywords; and a keyword cluster generator, in data communication with the processor and the memory, the keyword cluster generator to order a list of keywords from high activity to low activity, the high activity corresponding to keywords with a statistically significant number of return on investment (ROI) events, the ROI events corresponding to revenue-generating events, partition the list into at least two sets, a head partition including keywords with an activity level above a predefined threshold, a tail partition including the remainder of the keywords in the list, model the keywords in the head partition based on a set of variables, the modeling including generating a revenue per click (RPC) value prediction for each of the keywords in the head partition, the RPC value prediction being based on the set of variables, past keyword revenue performance data, and historical bid density by category for each keyword, score the keywords in the head partition based on the modeling, and cluster head partition keywords with tail partition keywords having at least one common variable into at least one keyword cluster. 25. The system as claimed in claim 21 wherein the set of variables include pop culture variables. | 0.716374 |
9,547,632 | 1 | 6 | 1. A system for playing multimedia for an e-book based on a PDF document, the system comprising: a PDF document processing unit for selecting and loading a PDF file, separating and extracting page elements necessary for rendering, and outputting a PDF document by sending the rendered page elements to an output device; an input data and commentary processing unit for extracting data of a commentary associated with data received in relation to a specific region of the outputted PDF document and separating a sentence structure having a multimedia format from sentence structures included in the extracted data of a functional commentary which can be analyzed; a multimedia source loading unit for checking a location of a multimedia source by analyzing the sentence structure having the multimedia format which has been separated by the input data and commentary processing unit and loading the multimedia source within the PDF file or stored in at least any one of a local storage device and a remote server; a multimedia play unit for analyzing a header of the loaded multimedia source, classifying a format of the header if the header is a header that can be played, and playing the multimedia source in a form of at least any one of flash, video, and a music file; a sentence structure format analysis unit for analyzing the sentence structure having the multimedia format and transferring a processing command based on the location of the multimedia source; a data mapping unit for receiving the processing command from the sentence structure format analysis unit if the location of the multimedia source is within the PDF file, sending a key, mapped with the multimedia source within the PDF file, to the PDF document processing unit with reference to a commentary dictionary, and loading the multimedia source using a received pointer indicative of the location of the multimedia source when the PDF document processing unit searches for the multimedia source using the received key and returns the pointer back to the data mapping unit; and a link processing unit for receiving the processing command from the sentence structure format analysis unit if the location of the multimedia source is outside the PDF file, analyzing whether a link location of the multimedia source is the remote server or the local storage device, and generating a control command, wherein the PDF document processing unit, the input data and commentary processing unit, the multimedia source loading unit, the multimedia play unit, the sentence structure format analysis unit, the data mapping unit and the link processing unit are each implemented via at least one processor. | 1. A system for playing multimedia for an e-book based on a PDF document, the system comprising: a PDF document processing unit for selecting and loading a PDF file, separating and extracting page elements necessary for rendering, and outputting a PDF document by sending the rendered page elements to an output device; an input data and commentary processing unit for extracting data of a commentary associated with data received in relation to a specific region of the outputted PDF document and separating a sentence structure having a multimedia format from sentence structures included in the extracted data of a functional commentary which can be analyzed; a multimedia source loading unit for checking a location of a multimedia source by analyzing the sentence structure having the multimedia format which has been separated by the input data and commentary processing unit and loading the multimedia source within the PDF file or stored in at least any one of a local storage device and a remote server; a multimedia play unit for analyzing a header of the loaded multimedia source, classifying a format of the header if the header is a header that can be played, and playing the multimedia source in a form of at least any one of flash, video, and a music file; a sentence structure format analysis unit for analyzing the sentence structure having the multimedia format and transferring a processing command based on the location of the multimedia source; a data mapping unit for receiving the processing command from the sentence structure format analysis unit if the location of the multimedia source is within the PDF file, sending a key, mapped with the multimedia source within the PDF file, to the PDF document processing unit with reference to a commentary dictionary, and loading the multimedia source using a received pointer indicative of the location of the multimedia source when the PDF document processing unit searches for the multimedia source using the received key and returns the pointer back to the data mapping unit; and a link processing unit for receiving the processing command from the sentence structure format analysis unit if the location of the multimedia source is outside the PDF file, analyzing whether a link location of the multimedia source is the remote server or the local storage device, and generating a control command, wherein the PDF document processing unit, the input data and commentary processing unit, the multimedia source loading unit, the multimedia play unit, the sentence structure format analysis unit, the data mapping unit and the link processing unit are each implemented via at least one processor. 6. The system of claim 1 , wherein the multimedia source loading unit further comprises a multimedia file loading unit for receiving the control command from the link processing unit if the location of the multimedia source is the local storage device and loading the multimedia source from the local storage device. | 0.825607 |
8,705,897 | 11 | 14 | 11. An apparatus for presenting a collection of digital images comprising: an electronic controller configured to retrieve a plurality of collections of digital image files, each collection consolidating digital image files into groups based on metadata before receipt of an image display request, wherein the metadata includes at least data indicative of user interaction with the digital image files in the plurality of collections subsequent to initially acquiring the digital image files, and wherein the metadata is based on a frequency of access of the digital image files by the user; the electronic controller configured to display iconic representations of the digital images files by display of the collections in a visual metaphor, wherein the visual metaphor displays the iconic representations for different collections at different sizes and positions relative to one another, and wherein the different sizes of the collections in the visual metaphor are based on the frequency of access; and the electronic controller being responsive to user input by opening a digital image file selected by a user. | 11. An apparatus for presenting a collection of digital images comprising: an electronic controller configured to retrieve a plurality of collections of digital image files, each collection consolidating digital image files into groups based on metadata before receipt of an image display request, wherein the metadata includes at least data indicative of user interaction with the digital image files in the plurality of collections subsequent to initially acquiring the digital image files, and wherein the metadata is based on a frequency of access of the digital image files by the user; the electronic controller configured to display iconic representations of the digital images files by display of the collections in a visual metaphor, wherein the visual metaphor displays the iconic representations for different collections at different sizes and positions relative to one another, and wherein the different sizes of the collections in the visual metaphor are based on the frequency of access; and the electronic controller being responsive to user input by opening a digital image file selected by a user. 14. The apparatus for presenting a collection of digital images of claim 11 wherein the electronic controller is configured to interactively display the collections of iconic representations of digital image files in association with metadata indicative of a human relationship. | 0.536667 |
9,495,127 | 15 | 17 | 15. A computer-readable storage device encoded with a computer program product, the computer program product including instructions that, when executed, cause data processing apparatus to perform operations comprising: generating a language model by analyzing textual content for a first web page to determine a topic of the first web page, determining other pages determined to be directed to the same topic of the first web page, and analyzing content of queries previously submitted to the other pages determined to be directed to the same topic of the first web page, wherein the queries previously submitted to the other pages include queries submitted to respective search capabilities of at least some of the other pages; receiving, at a computer server system and from an electronic device, sound information from a user of the electronic device, and a context identifier that indicates a context within which the user provided the sound information; using the context identifier to select the generated language model from among a plurality of language models; converting speech in the sound information to text using the selected language model; and providing the text for use by the electronic device. | 15. A computer-readable storage device encoded with a computer program product, the computer program product including instructions that, when executed, cause data processing apparatus to perform operations comprising: generating a language model by analyzing textual content for a first web page to determine a topic of the first web page, determining other pages determined to be directed to the same topic of the first web page, and analyzing content of queries previously submitted to the other pages determined to be directed to the same topic of the first web page, wherein the queries previously submitted to the other pages include queries submitted to respective search capabilities of at least some of the other pages; receiving, at a computer server system and from an electronic device, sound information from a user of the electronic device, and a context identifier that indicates a context within which the user provided the sound information; using the context identifier to select the generated language model from among a plurality of language models; converting speech in the sound information to text using the selected language model; and providing the text for use by the electronic device. 17. The computer-readable storage device of claim 15 , wherein the context identifier identifies a web page that was being presented by the electronic device when the sound information was input by the user. | 0.793825 |
8,117,242 | 2 | 44 | 2. A computer program product embodied on a non-transitory computer-readable medium, comprising: code for registering a global unique user login information configured to allow access to a plurality of different online applications in association with an online application system, the different online applications including a first online application that provides access to a first one or more files stored at one or more servers associated with the first online application, a second online application that provides access to a second one or more files stored at one or more servers associated with the second online application, a third online application that provides access to a third one or more files stored at one or more servers associated with the third online application, and a fourth online application that provides access to a fourth one or more files stored at one or more servers associated with the fourth online application; code for receiving the global unique user login information in connection with a user logging in; code for identifying at least one first online application identifier associated with the first online application for registration purposes; code for identifying at least one second online application identifier associated with the second online application for registration purposes; code for identifying at least one third online application identifier associated with the third online application for registration purposes; code for identifying at least one fourth online application identifier associated with the fourth online application for registration purposes; code for receiving an indication to add access to the first online application for registration purposes; code for receiving an indication to add access to the second online application for registration purposes; code for receiving an indication to add access to the third online application for registration purposes; code for receiving an indication to add access to the fourth online application for registration purposes; code for, in connection with the at least one first online application identifier associated with the first online application, allowing registration of the first online application by: utilizing data required for the first online application, and receiving preference information associated with the first online application; code for, in connection with the at least one second online application identifier associated with the second online application, allowing registration of the second online application by: utilizing data required for the second online application, and receiving preference information associated with the second online application; code for, in connection with the at least one third online application identifier associated with the third online application, allowing registration of the third online application by: utilizing data required for the third online application, and receiving preference information associated with the third online application; code for, in connection with the at least one fourth online application identifier associated with the fourth online application, allowing registration of the fourth online application by: utilizing data required for the fourth online application, and receiving preference information associated with the fourth online application; code for displaying the at least one first online application identifier associated with the first online application for access purposes; code for displaying the at least one second online application identifier associated with the second online application for access purposes; code for displaying the at least one third online application identifier associated with the third online application for access purposes; code for displaying the at least one fourth online application identifier associated with the fourth online application for access purposes; code for receiving a selection of the at least one first online application identifier associated with the first online application for access purposes; code for receiving a selection of the at least one second online application identifier associated with the second online application for access purposes; code for receiving a selection of the at least one third online application identifier associated with the third online application for access purposes; code for receiving a selection of the at least one fourth online application identifier associated with the fourth online application for access purposes; code for, in response to the selection of the at least one first online application identifier associated with the first online application for access purposes, allowing access to the first online application, utilizing the data required for the first online application; code for, in response to the selection of the at least one second online application identifier associated with the second online application for access purposes, allowing access to the second online application, utilizing the data required for the second online application; code for, in response to the selection of the at least one third online application identifier associated with the third online application for access purposes, allowing access to the third online application, utilizing the data required for the third online application; code for, in response to the selection of the at least one fourth online application identifier associated with the fourth online application for access purposes, allowing access to the fourth online application, utilizing the data required for the fourth online application; code for identifying a document in association with the online application system; code for receiving a request from a logged-in user; code for, in response to the request, displaying an interface for receiving an indication of one or more tags, the interface including: at least one text box for receiving manually inserted tags, and a list of potential tags; code for, utilizing the interface, receiving the indication of the one or more tags; and code for correlating the one or more tags with the document. | 2. A computer program product embodied on a non-transitory computer-readable medium, comprising: code for registering a global unique user login information configured to allow access to a plurality of different online applications in association with an online application system, the different online applications including a first online application that provides access to a first one or more files stored at one or more servers associated with the first online application, a second online application that provides access to a second one or more files stored at one or more servers associated with the second online application, a third online application that provides access to a third one or more files stored at one or more servers associated with the third online application, and a fourth online application that provides access to a fourth one or more files stored at one or more servers associated with the fourth online application; code for receiving the global unique user login information in connection with a user logging in; code for identifying at least one first online application identifier associated with the first online application for registration purposes; code for identifying at least one second online application identifier associated with the second online application for registration purposes; code for identifying at least one third online application identifier associated with the third online application for registration purposes; code for identifying at least one fourth online application identifier associated with the fourth online application for registration purposes; code for receiving an indication to add access to the first online application for registration purposes; code for receiving an indication to add access to the second online application for registration purposes; code for receiving an indication to add access to the third online application for registration purposes; code for receiving an indication to add access to the fourth online application for registration purposes; code for, in connection with the at least one first online application identifier associated with the first online application, allowing registration of the first online application by: utilizing data required for the first online application, and receiving preference information associated with the first online application; code for, in connection with the at least one second online application identifier associated with the second online application, allowing registration of the second online application by: utilizing data required for the second online application, and receiving preference information associated with the second online application; code for, in connection with the at least one third online application identifier associated with the third online application, allowing registration of the third online application by: utilizing data required for the third online application, and receiving preference information associated with the third online application; code for, in connection with the at least one fourth online application identifier associated with the fourth online application, allowing registration of the fourth online application by: utilizing data required for the fourth online application, and receiving preference information associated with the fourth online application; code for displaying the at least one first online application identifier associated with the first online application for access purposes; code for displaying the at least one second online application identifier associated with the second online application for access purposes; code for displaying the at least one third online application identifier associated with the third online application for access purposes; code for displaying the at least one fourth online application identifier associated with the fourth online application for access purposes; code for receiving a selection of the at least one first online application identifier associated with the first online application for access purposes; code for receiving a selection of the at least one second online application identifier associated with the second online application for access purposes; code for receiving a selection of the at least one third online application identifier associated with the third online application for access purposes; code for receiving a selection of the at least one fourth online application identifier associated with the fourth online application for access purposes; code for, in response to the selection of the at least one first online application identifier associated with the first online application for access purposes, allowing access to the first online application, utilizing the data required for the first online application; code for, in response to the selection of the at least one second online application identifier associated with the second online application for access purposes, allowing access to the second online application, utilizing the data required for the second online application; code for, in response to the selection of the at least one third online application identifier associated with the third online application for access purposes, allowing access to the third online application, utilizing the data required for the third online application; code for, in response to the selection of the at least one fourth online application identifier associated with the fourth online application for access purposes, allowing access to the fourth online application, utilizing the data required for the fourth online application; code for identifying a document in association with the online application system; code for receiving a request from a logged-in user; code for, in response to the request, displaying an interface for receiving an indication of one or more tags, the interface including: at least one text box for receiving manually inserted tags, and a list of potential tags; code for, utilizing the interface, receiving the indication of the one or more tags; and code for correlating the one or more tags with the document. 44. The computer program product of claim 2 , wherein the data required for the first online application is different from the data required for the second online application. | 0.969125 |
9,424,241 | 12 | 13 | 12. The device of claim 1 wherein the annotation mode can be invoked through a graphic presented on the paginated digital content. | 12. The device of claim 1 wherein the annotation mode can be invoked through a graphic presented on the paginated digital content. 13. The device of claim 12 wherein when invoking the annotation mode using the graphic presented on the paginated digital content, a desired color for sticky notes to be created can be simultaneously selected. | 0.5 |
8,521,512 | 17 | 23 | 17. 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; a user interface configured to receive an input text string; a database including at least one table comprising at least one concept tree, the concept tree representing a single root concept comprised of multiple concepts, wherein the concept tree comprises the single root concept and a plurality of joins between two or more of the multiple concepts, and wherein each of the plurality of joins is itself one of the multiple concepts; and a parser interfaced with the database and the user interface, the parser configured to, when executed by the at least one hardware processor, identify a concept represented by the text string, the identification of the concept comprising breaking the text string into separate elements of language, the elements including words and punctuation, using the separate elements of language to form an ordered string of concepts, forming higher order concepts comprising two lower order concepts, by searching the at least one table for joins between the lower order concepts, until the concept represented by the text string is formed. | 17. 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; a user interface configured to receive an input text string; a database including at least one table comprising at least one concept tree, the concept tree representing a single root concept comprised of multiple concepts, wherein the concept tree comprises the single root concept and a plurality of joins between two or more of the multiple concepts, and wherein each of the plurality of joins is itself one of the multiple concepts; and a parser interfaced with the database and the user interface, the parser configured to, when executed by the at least one hardware processor, identify a concept represented by the text string, the identification of the concept comprising breaking the text string into separate elements of language, the elements including words and punctuation, using the separate elements of language to form an ordered string of concepts, forming higher order concepts comprising two lower order concepts, by searching the at least one table for joins between the lower order concepts, until the concept represented by the text string is formed. 23. The system of claim 17 , wherein the user interface comprises a speech-to-text converter, and wherein the user interface is configured to generate the input text string from a speech input. | 0.672881 |
9,892,194 | 7 | 8 | 7. The method of claim 6 , wherein the inducing further includes: receiving the topic segment borders, the extracted key phrases, and the assigned weights of each of the generated topic segments; based on topic window borders, segmenting the lecture video transcript into multiple sub-documents; reconstructing a refined vector representation for each of the multiple sub-documents; updating the assigned weights based on term frequency-inverse document frequency (TF-IDF) in each of the multiple sub-documents; selecting a candidate label based on the updated assigned weights for each of the multiple sub-documents; determining whether each of the candidate labels is one of the extracted key phrases; in response to the candidate label being one of the extracted key phrases, selecting the candidate label as a label for the sub-document; and in response to the candidate label not being one of the extracted key phrases, identifying the sub-document as off-topic. | 7. The method of claim 6 , wherein the inducing further includes: receiving the topic segment borders, the extracted key phrases, and the assigned weights of each of the generated topic segments; based on topic window borders, segmenting the lecture video transcript into multiple sub-documents; reconstructing a refined vector representation for each of the multiple sub-documents; updating the assigned weights based on term frequency-inverse document frequency (TF-IDF) in each of the multiple sub-documents; selecting a candidate label based on the updated assigned weights for each of the multiple sub-documents; determining whether each of the candidate labels is one of the extracted key phrases; in response to the candidate label being one of the extracted key phrases, selecting the candidate label as a label for the sub-document; and in response to the candidate label not being one of the extracted key phrases, identifying the sub-document as off-topic. 8. The method of claim 7 , further comprising: merging labels of one or more of the sub-documents based on hierarchical relationships between the labels for the sub-documents and candidate labels that appear in each of the sub-documents; or dividing labels of one or more of the sub-documents based on the hierarchical relationships between the labels for the sub-documents and candidate labels that appear in each of the sub-documents. | 0.5 |
9,626,658 | 8 | 11 | 8. An apparatus comprising: at least one processing device configured to: receive a plurality of tasks by receiving one or more letters, numbers, or characters spelling each task; display each task in a multi-line task entry interface in real time, wherein each task is started on a separate line in the multi-line task entry interface; parse each task in real time as the task is being received to identify one or more keywords in the task, wherein each task is parsed each time one of the one or more letters, numbers, or characters is received; in response to identifying the one or more keywords, apply each keyword to a corresponding parameter of the task among a plurality of parameters to produce a modified task; and display each modified task in a task list interface in real time as the modified task is produced, the task list interface having a first column representing a first of the parameters and a second column representing a second of the parameters, wherein the task entry interface and the task list interface are presented together on a common display, wherein the first parameter is a first one of a category, a priority, a delegate, or a status of the task, and the second parameter is a second one of a category, a priority, a delegate, or a status of the task. | 8. An apparatus comprising: at least one processing device configured to: receive a plurality of tasks by receiving one or more letters, numbers, or characters spelling each task; display each task in a multi-line task entry interface in real time, wherein each task is started on a separate line in the multi-line task entry interface; parse each task in real time as the task is being received to identify one or more keywords in the task, wherein each task is parsed each time one of the one or more letters, numbers, or characters is received; in response to identifying the one or more keywords, apply each keyword to a corresponding parameter of the task among a plurality of parameters to produce a modified task; and display each modified task in a task list interface in real time as the modified task is produced, the task list interface having a first column representing a first of the parameters and a second column representing a second of the parameters, wherein the task entry interface and the task list interface are presented together on a common display, wherein the first parameter is a first one of a category, a priority, a delegate, or a status of the task, and the second parameter is a second one of a category, a priority, a delegate, or a status of the task. 11. The apparatus of claim 8 , wherein the at least one processing device is further configured to generate a task list based at least in part on the modified tasks. | 0.775815 |
5,408,632 | 4 | 5 | 4. A semiconductor memory device as claimed in claim 1, wherein said data re-ordering means comprises a plurality of switching element arrays, each array receiving one bit of data and disposing said one bit of data at a desired bit position of said designated complete word. | 4. A semiconductor memory device as claimed in claim 1, wherein said data re-ordering means comprises a plurality of switching element arrays, each array receiving one bit of data and disposing said one bit of data at a desired bit position of said designated complete word. 5. A semiconductor memory device as claimed in claim 4, wherein said data re-ordering means further comprises a bit position control means for selecting one element in each switching element array in accordance with said starting bit position. | 0.5 |
8,504,489 | 10 | 17 | 10. An apparatus for predictive coding of previously collected electronic discovery documents, the apparatus comprising: a computing platform including at least one processor, a memory in communication with the processor and a display in communication with the processor; a document coding application stored in the memory, executable by the processor and configured to receive a plurality of document coding inputs that each assign a review code to one of a plurality of first documents, which are associated with a case within an electronic discovery system and have been previously collected from one of a plurality of custodians associated with the case, wherein the review code indicates a level of relevancy or importance in relation to the case and at least one document coding input codes a first document as privileged; and a predictive document coding application stored in the memory, executable by the processor and including, a document similarity evaluator configured to (1) determine, in response to receiving each of the plurality of document coding inputs, if one or more second documents, which are associated with the case, have been previously collected from the plurality of custodians and are pending review, are similar to or same as the first document, and (2) determine, in response to receiving the at least one document coding input that codes the first document as privileged, determining, via a computing device, if one or more third documents, which are associated with other cases in the electronic discovery system, have been collected from the plurality of custodians and are pending review are same as the first document, a code assignor configured to (1), in response to determining that the second documents are same as the first document, automatically assign a review code assigned to the first document to the one or more second documents that are the same as the first document and, (2) in response to determining that the third documents are same as the first document, automatically assign the privilege code to the one or more third documents that are the same as the first document, a document remover configured to remove the one or more second documents that are the same as the first document from a plurality of pending review documents based on the assignment of the review code, wherein the pending review documents are included in a document review assignment currently being reviewed by a reviewer, and a confidence indicator presenter configured to present, on the display, the one or more second documents that are similar to the first document and a confidence indicator that indicates a level of similarity between the first document and a presented second document, wherein the reviewer makes a determination based on the confidence indicator as to whether the presented second document reaches a level of similarity to the first document to justify assigning the review code to the presented document. | 10. An apparatus for predictive coding of previously collected electronic discovery documents, the apparatus comprising: a computing platform including at least one processor, a memory in communication with the processor and a display in communication with the processor; a document coding application stored in the memory, executable by the processor and configured to receive a plurality of document coding inputs that each assign a review code to one of a plurality of first documents, which are associated with a case within an electronic discovery system and have been previously collected from one of a plurality of custodians associated with the case, wherein the review code indicates a level of relevancy or importance in relation to the case and at least one document coding input codes a first document as privileged; and a predictive document coding application stored in the memory, executable by the processor and including, a document similarity evaluator configured to (1) determine, in response to receiving each of the plurality of document coding inputs, if one or more second documents, which are associated with the case, have been previously collected from the plurality of custodians and are pending review, are similar to or same as the first document, and (2) determine, in response to receiving the at least one document coding input that codes the first document as privileged, determining, via a computing device, if one or more third documents, which are associated with other cases in the electronic discovery system, have been collected from the plurality of custodians and are pending review are same as the first document, a code assignor configured to (1), in response to determining that the second documents are same as the first document, automatically assign a review code assigned to the first document to the one or more second documents that are the same as the first document and, (2) in response to determining that the third documents are same as the first document, automatically assign the privilege code to the one or more third documents that are the same as the first document, a document remover configured to remove the one or more second documents that are the same as the first document from a plurality of pending review documents based on the assignment of the review code, wherein the pending review documents are included in a document review assignment currently being reviewed by a reviewer, and a confidence indicator presenter configured to present, on the display, the one or more second documents that are similar to the first document and a confidence indicator that indicates a level of similarity between the first document and a presented second document, wherein the reviewer makes a determination based on the confidence indicator as to whether the presented second document reaches a level of similarity to the first document to justify assigning the review code to the presented document. 17. The apparatus of claim 10 , wherein the document coding application is further configured to receive the document coding input that assigns the review code, wherein the review code includes a mark. | 0.692661 |
8,635,068 | 1 | 9 | 1. A method comprising: receiving a speech utterance from a user; performing an analysis, via a processor, of the speech utterance to determine a first speech dialect and a second speech dialect; selecting a first dialect grammar from a plurality of optimized dialect grammars based on a similarity of the first dialect grammar to the first speech dialect; selecting a second dialect grammar from the plurality of optimized dialect grammars based on a similarity of the second dialect grammar to the second speech dialect; blending the first dialect grammar and the second dialect grammar, to yield a blended dialect grammar; and recognizing, with the blended dialect grammar, the speech utterance. | 1. A method comprising: receiving a speech utterance from a user; performing an analysis, via a processor, of the speech utterance to determine a first speech dialect and a second speech dialect; selecting a first dialect grammar from a plurality of optimized dialect grammars based on a similarity of the first dialect grammar to the first speech dialect; selecting a second dialect grammar from the plurality of optimized dialect grammars based on a similarity of the second dialect grammar to the second speech dialect; blending the first dialect grammar and the second dialect grammar, to yield a blended dialect grammar; and recognizing, with the blended dialect grammar, the speech utterance. 9. The method of claim 1 , wherein selecting the first dialect grammar and the second dialect grammar from a plurality of optimized dialect grammars is further based on a certainty threshold. | 0.520101 |
9,378,290 | 10 | 16 | 10. One or more computer storage media having stored thereupon a plurality of computer executable instructions that, when executed by a processor, causes the processor to perform operations comprising: determining that a user is using an input method editor (IME) to input one or more first input candidates into a first user interface of a first computer application; determining a first scenario of the first computer application that the IME is to input the one or more candidates into; determining a query input by the user into a user interface of the IME; determining, based on at least one of the first scenario of the input of the user or the query input by the user, scores for different types of input candidates, each score indicating a likelihood that a respective type of input candidate is associated with a context of the scenario and the query; determining, based at least in part on the scores, a desired type of input candidate from the types of input candidates to be presented at the user interface of the IME; identifying or generating a first set of rich candidates at least partly based on a relevancy of individual rich candidates of the first set of rich candidates to the scenario, the desired type of input candidate, and the query; transmitting at least one rich candidate of the first set of rich candidates for use by the user interface of the first computer application, the first computer application being separate from the IME; determining that the user has entered the query into the user interface of the IME to input one or more second input candidates into a second user interface of a second computer application, the second computer application being separate from the first computer application and the IME; determining a second scenario of the second computer application that the IME is to input the one or more second candidates into; determining, based on the second scenario of the second computer application and the query, second scores for different types of input candidates, each second score indicating a likelihood that a respective type of input candidate is associated with a context of the second scenario and the query; and presenting based at least in part on the second scores, a second set of rich candidates via the user interface of the IME, wherein at least one rich candidate of the second set of rich candidates is not included in the first set of rich candidates. | 10. One or more computer storage media having stored thereupon a plurality of computer executable instructions that, when executed by a processor, causes the processor to perform operations comprising: determining that a user is using an input method editor (IME) to input one or more first input candidates into a first user interface of a first computer application; determining a first scenario of the first computer application that the IME is to input the one or more candidates into; determining a query input by the user into a user interface of the IME; determining, based on at least one of the first scenario of the input of the user or the query input by the user, scores for different types of input candidates, each score indicating a likelihood that a respective type of input candidate is associated with a context of the scenario and the query; determining, based at least in part on the scores, a desired type of input candidate from the types of input candidates to be presented at the user interface of the IME; identifying or generating a first set of rich candidates at least partly based on a relevancy of individual rich candidates of the first set of rich candidates to the scenario, the desired type of input candidate, and the query; transmitting at least one rich candidate of the first set of rich candidates for use by the user interface of the first computer application, the first computer application being separate from the IME; determining that the user has entered the query into the user interface of the IME to input one or more second input candidates into a second user interface of a second computer application, the second computer application being separate from the first computer application and the IME; determining a second scenario of the second computer application that the IME is to input the one or more second candidates into; determining, based on the second scenario of the second computer application and the query, second scores for different types of input candidates, each second score indicating a likelihood that a respective type of input candidate is associated with a context of the second scenario and the query; and presenting based at least in part on the second scores, a second set of rich candidates via the user interface of the IME, wherein at least one rich candidate of the second set of rich candidates is not included in the first set of rich candidates. 16. One or more computer storage medium as recited in claim 10 , further comprising presenting the first set of rich candidates in an embedded web browser using a hypertext markup language (HTML) 5.0 format. | 0.73995 |
8,600,152 | 6 | 7 | 6. A method for transcribing text from a physical document to an electronic document, the method comprising: providing a computer system, wherein the computer system comprises a non-transitory computer-readable storage device and a user display; receiving, by the computer system, an image of the physical document, wherein: the image comprises imaged text, the text is associated with a data category, and the physical document is a census document; accessing, by the computer system, a similar content database, wherein the similar content database comprises a plurality of records comprised of information identified from a plurality of analyzed documents related to the physical document; determining, by the computer system, that the physical document is related to a record of the plurality of records; using the data category of the record of the plurality of records, identifying, by the computer system, a plurality of candidate strings of electronic text to represent portions of the imaged text, wherein a candidate string of electronic text of the plurality of candidate strings of electronic text is identified based on characters within the record; presenting, by the computer system, via the user display, the plurality of candidate strings of electronic text and the portion of the text to a user; receiving, by the computer system, a selection of one of the candidate strings of digitized text from the user; and creating, by the computer system, an electronic document comprising the selection of one of the candidate strings of electronic text from the user. | 6. A method for transcribing text from a physical document to an electronic document, the method comprising: providing a computer system, wherein the computer system comprises a non-transitory computer-readable storage device and a user display; receiving, by the computer system, an image of the physical document, wherein: the image comprises imaged text, the text is associated with a data category, and the physical document is a census document; accessing, by the computer system, a similar content database, wherein the similar content database comprises a plurality of records comprised of information identified from a plurality of analyzed documents related to the physical document; determining, by the computer system, that the physical document is related to a record of the plurality of records; using the data category of the record of the plurality of records, identifying, by the computer system, a plurality of candidate strings of electronic text to represent portions of the imaged text, wherein a candidate string of electronic text of the plurality of candidate strings of electronic text is identified based on characters within the record; presenting, by the computer system, via the user display, the plurality of candidate strings of electronic text and the portion of the text to a user; receiving, by the computer system, a selection of one of the candidate strings of digitized text from the user; and creating, by the computer system, an electronic document comprising the selection of one of the candidate strings of electronic text from the user. 7. The method of claim 6 , further comprising: providing, at the computer system, a database, wherein the database comprises electronic text transcribed from physical documents; determining, by the computer system, a link between at least one record of the database and the physical document; and matching, by the computer system, at least a portion of the at least one record to a portion of imaged text of the physical document. | 0.578431 |
8,886,639 | 1 | 6 | 1. A computer-implemented method for performing a search of services, the method comprising: receiving a search string that includes multiple words and that a user inputs for searching services in a repository; searching a multi-document index using the search string, the multi-document index identifying, for each of the services, multiple documents that each reflect at least one aspect regarding the service; providing multiple results in response to the search of the multi-document index, each of the multiple results being associated with a corresponding service and the multiple documents identified in the multi-document index for the corresponding service; scoring the multiple results by providing, for each of the results: a first score that reflects an amount of the words from the search string that appear in any of the multiple documents that are associated with the result, and a second score that reflects a combination of: (i) one score that identifies an amount of the words from the search string that appear in a first one of the multiple documents that are associated with the result, and (ii) another score that identifies an amount of the words from the search string that appear in a second one of the multiple documents that are associated with the result; generating, for each of the results, a weighted score by weighting the first score and the second score for the result; ranking the results based on the weighted score that generated for each of the results; and presenting an outcome of the search of the multi-document index to the user in response to receiving the search string, wherein the ranked results are included in the outcome of the search. | 1. A computer-implemented method for performing a search of services, the method comprising: receiving a search string that includes multiple words and that a user inputs for searching services in a repository; searching a multi-document index using the search string, the multi-document index identifying, for each of the services, multiple documents that each reflect at least one aspect regarding the service; providing multiple results in response to the search of the multi-document index, each of the multiple results being associated with a corresponding service and the multiple documents identified in the multi-document index for the corresponding service; scoring the multiple results by providing, for each of the results: a first score that reflects an amount of the words from the search string that appear in any of the multiple documents that are associated with the result, and a second score that reflects a combination of: (i) one score that identifies an amount of the words from the search string that appear in a first one of the multiple documents that are associated with the result, and (ii) another score that identifies an amount of the words from the search string that appear in a second one of the multiple documents that are associated with the result; generating, for each of the results, a weighted score by weighting the first score and the second score for the result; ranking the results based on the weighted score that generated for each of the results; and presenting an outcome of the search of the multi-document index to the user in response to receiving the search string, wherein the ranked results are included in the outcome of the search. 6. The computer-implemented method of claim 1 , wherein: the first score represents an average of the one score and the another score, the one score identifying a percentage of words from the query that appear in the first one of the multiple documents that are associated with the result, the another score identifying a percentage of the words from the search string that appear in the second one of the multiple documents that are associated with the result, and the second score represents a percentage of the words from the search string that appear in any of the multiple documents that are associated with the result. | 0.616708 |
8,127,270 | 10 | 13 | 10. Software stored in one or more computer-readable storage media for execution and when executed operable to: accept, as input at a transformation engine, a data file containing an implementation independent model written in a modeling language, wherein the implementation independent model includes one or more inheritable classes each of which includes zero or more attributes and zero or more relationships to another class; accept, as input at the transformation engine, a configuration file designating as a manageable resource one or more of the inheritable classes included in the implementation independent model, wherein the manageable resource represents a device having manageable capabilities, the manageable capabilities comprising connectivity and identity, and wherein the configuration file identifies one or more of the inheritable classes for exclusion; and output, at the transformation engine, each designated class as a manageable resource, wherein the manageable resource includes any subclasses by inheritance from the designated class unless excluded in the configuration file. | 10. Software stored in one or more computer-readable storage media for execution and when executed operable to: accept, as input at a transformation engine, a data file containing an implementation independent model written in a modeling language, wherein the implementation independent model includes one or more inheritable classes each of which includes zero or more attributes and zero or more relationships to another class; accept, as input at the transformation engine, a configuration file designating as a manageable resource one or more of the inheritable classes included in the implementation independent model, wherein the manageable resource represents a device having manageable capabilities, the manageable capabilities comprising connectivity and identity, and wherein the configuration file identifies one or more of the inheritable classes for exclusion; and output, at the transformation engine, each designated class as a manageable resource, wherein the manageable resource includes any subclasses by inheritance from the designated class unless excluded in the configuration file. 13. The software of claim 10 , wherein the manageable resource is a WSDM manageable resource. | 0.827778 |
7,724,956 | 12 | 13 | 12. The system of claim 9 , wherein the comparison module is configured to execute a screening process and a searching process. | 12. The system of claim 9 , wherein the comparison module is configured to execute a screening process and a searching process. 13. The system of claim 12 , wherein the screening process conducts two screening methods including a screen by Connectivity Key method and a screen by Connectivity Array method. | 0.760753 |
9,031,830 | 1 | 3 | 1. A computer-implemented input-method editor process comprising: receiving a request from a user of an electronic device for an application-independent input method editor having written and spoken input capabilities, wherein the application-independent input method editor is configured to receive input for a plurality of applications executable by the electronic device; identifying that the user is about to provide spoken input to the application-independent input method editor; receiving a spoken input from the user, wherein the spoken input corresponds to an input to an application from the plurality of applications; identifying, with the electronic device, an application from the plurality of applications to which the spoken input was addressed by (i) identifying an application type for the application that identifies an application category for the application, wherein each application category is capable of including a plurality of applications, and (ii) matching one or more utterances in the spoken input to one or more stored terms that are associated with the application type; providing the spoken input and information indicating the application type to a server, that is remote form the electronic device and includes a speech recognition system configured to access one or more language models for recognizing text based on the spoken input and the information indicating the application type; receiving text from the remote server, wherein the text represents a translation of the spoken input; selecting an application from the plurality of applications to receive the text, based on the identifying of the application; and providing the text as the input to the application. | 1. A computer-implemented input-method editor process comprising: receiving a request from a user of an electronic device for an application-independent input method editor having written and spoken input capabilities, wherein the application-independent input method editor is configured to receive input for a plurality of applications executable by the electronic device; identifying that the user is about to provide spoken input to the application-independent input method editor; receiving a spoken input from the user, wherein the spoken input corresponds to an input to an application from the plurality of applications; identifying, with the electronic device, an application from the plurality of applications to which the spoken input was addressed by (i) identifying an application type for the application that identifies an application category for the application, wherein each application category is capable of including a plurality of applications, and (ii) matching one or more utterances in the spoken input to one or more stored terms that are associated with the application type; providing the spoken input and information indicating the application type to a server, that is remote form the electronic device and includes a speech recognition system configured to access one or more language models for recognizing text based on the spoken input and the information indicating the application type; receiving text from the remote server, wherein the text represents a translation of the spoken input; selecting an application from the plurality of applications to receive the text, based on the identifying of the application; and providing the text as the input to the application. 3. The process of claim 1 , further comprising: receiving a written input from the user; determining a language of the written input; and providing a language indicator to the remote server based on the determined language indicating the language of the spoken input. | 0.613043 |
8,166,060 | 5 | 8 | 5. A location search method comprising: performing a character input process, wherein when one of a plurality of buttons in a character input portion is repeatedly pressed or pressed continuously for a given time or longer, a plurality of characters assigned in advance to the one button is displayed in an input character display portion in a predetermined cyclic sequence; when one of the plurality of buttons is pressed, and then, another of the plurality of buttons is pressed, the character displayed in the input character display portion immediately prior to pressing of the other button is set as an input set character whose input has been set; and when the character is input through the character input portion following the input set character, a character string is input; acquiring a search object character string that partially matches the input character string, as an input candidate character string, from a character string storage portion that stores a plurality of search object character strings; and assigning the input candidate character string to a character string button through which the input candidate character string is input, and displaying the input candidate character string assigned to the character string button; and creating a plurality of compound character strings by combining the input set character string whose input has been set with the plurality of characters assigned in advance to the button that is pressed next, and acquiring the search object character strings that partially match the respective compound character strings, as the input candidate character strings. | 5. A location search method comprising: performing a character input process, wherein when one of a plurality of buttons in a character input portion is repeatedly pressed or pressed continuously for a given time or longer, a plurality of characters assigned in advance to the one button is displayed in an input character display portion in a predetermined cyclic sequence; when one of the plurality of buttons is pressed, and then, another of the plurality of buttons is pressed, the character displayed in the input character display portion immediately prior to pressing of the other button is set as an input set character whose input has been set; and when the character is input through the character input portion following the input set character, a character string is input; acquiring a search object character string that partially matches the input character string, as an input candidate character string, from a character string storage portion that stores a plurality of search object character strings; and assigning the input candidate character string to a character string button through which the input candidate character string is input, and displaying the input candidate character string assigned to the character string button; and creating a plurality of compound character strings by combining the input set character string whose input has been set with the plurality of characters assigned in advance to the button that is pressed next, and acquiring the search object character strings that partially match the respective compound character strings, as the input candidate character strings. 8. The location search method according to claim 5 , wherein the search object character string whose first portion matches the input set character string is acquired as the input candidate character string. | 0.815508 |
9,444,907 | 15 | 24 | 15. A computer-implemented method comprising: obtaining keywords from user profiles of a group of users of a social networking system who previously responded to an invitation; extracting a set of keywords from a subject user profile of a subject user of a social networking system; comparing the set of keywords to the keywords from the user profiles of the group of users of the social networking system who previously responded to the invitation; and predicting a response to the invitation by the subject user based on the comparison. | 15. A computer-implemented method comprising: obtaining keywords from user profiles of a group of users of a social networking system who previously responded to an invitation; extracting a set of keywords from a subject user profile of a subject user of a social networking system; comparing the set of keywords to the keywords from the user profiles of the group of users of the social networking system who previously responded to the invitation; and predicting a response to the invitation by the subject user based on the comparison. 24. The method of claim 15 , wherein the set of keywords includes words relating to usage. | 0.94171 |
8,484,141 | 16 | 20 | 16. A computer readable memory excluding signals tangibly encoded with a computer program executable by a processor to perform actions comprising: loading a first ontology associated with a first rule set, where an ontology is a formal representation of a set of concepts within a domain, and a set of relationships between the concepts; generating an extended ontology and an extended rule set based at least in part on the first ontology and the first rule set; applying the extended rule set to the extended ontology; determining a correctness of the extended ontology, where the correctness is a weighted measurement of errors of the ontology and where the correctness is weighted based at least in part on a type of the errors; and generating results comprising the correctness of the extended ontology. | 16. A computer readable memory excluding signals tangibly encoded with a computer program executable by a processor to perform actions comprising: loading a first ontology associated with a first rule set, where an ontology is a formal representation of a set of concepts within a domain, and a set of relationships between the concepts; generating an extended ontology and an extended rule set based at least in part on the first ontology and the first rule set; applying the extended rule set to the extended ontology; determining a correctness of the extended ontology, where the correctness is a weighted measurement of errors of the ontology and where the correctness is weighted based at least in part on a type of the errors; and generating results comprising the correctness of the extended ontology. 20. The computer readable memory of claim 16 , where the first rule set is configured in accordance with a sematic web rule language. | 0.628492 |
9,552,494 | 13 | 15 | 13. A method, comprising: receiving, by a processor, a plurality of artifact fingerprints generated from a plurality of artifacts, wherein the plurality of artifact fingerprints are generated by generating shingles from text within each of the plurality of artifacts so that there at least one character overlap between adjacent shingles; and cryptographically hashing the shingles to generate a plurality of artifact fingerprints; storing the artifact fingerprints in a database; receiving, by the processor from a querying entity, a plurality of query fingerprints generated by cryptographically hashing shingles of a plaintext query, wherein a character overlap between shingles generated from the plaintext query is greater than the at least one character overlap of the shingles generated from the artifacts; determining, by the processor, whether any of the query fingerprints match any of the artifact fingerprints stored in the database by performing a cosine distance calculation; and outputting an indication of an entity that provided an artifact containing a matched fingerprint to the querying entity without revealing plaintext of the artifact containing the matched fingerprint. | 13. A method, comprising: receiving, by a processor, a plurality of artifact fingerprints generated from a plurality of artifacts, wherein the plurality of artifact fingerprints are generated by generating shingles from text within each of the plurality of artifacts so that there at least one character overlap between adjacent shingles; and cryptographically hashing the shingles to generate a plurality of artifact fingerprints; storing the artifact fingerprints in a database; receiving, by the processor from a querying entity, a plurality of query fingerprints generated by cryptographically hashing shingles of a plaintext query, wherein a character overlap between shingles generated from the plaintext query is greater than the at least one character overlap of the shingles generated from the artifacts; determining, by the processor, whether any of the query fingerprints match any of the artifact fingerprints stored in the database by performing a cosine distance calculation; and outputting an indication of an entity that provided an artifact containing a matched fingerprint to the querying entity without revealing plaintext of the artifact containing the matched fingerprint. 15. The method of claim 13 , wherein there is no character overlap between shingles generated from the plurality of artifacts. | 0.892123 |
8,914,279 | 12 | 19 | 12. A computing device, comprising: at least one processor; and a non-transitory computer-readable storage medium storing executable computer program code, the at least one processor configured to execute the executable computer program code to perform operations including: receiving a sentence including one or more words; determining an index set of possible head-modifier dependencies for the sentence, the index set including inner arcs and outer arcs, the inners arcs representing possible head-modifier dependency between words in the sentence separated by a first distance less than or equal to a distance threshold and outer arcs representing possible head-modifier dependency between words in the sentence separated by a second distance greater than the distance threshold; pruning the index set based on an augmented vine parsing algorithm to obtain a first pruned index set, the first pruned index set including: (i) each specific inner arc when a likelihood that the specific inner arc is appropriate is greater than a first threshold, and (ii) the outer arcs when a likelihood that there exists any possible outer arc that is appropriate is greater than the first threshold; pruning the first pruned index set based on a second parsing algorithm to obtain a second pruned index set; determining a most-likely parse for the sentence from the second pruned index set; and outputting the most-likely parse. | 12. A computing device, comprising: at least one processor; and a non-transitory computer-readable storage medium storing executable computer program code, the at least one processor configured to execute the executable computer program code to perform operations including: receiving a sentence including one or more words; determining an index set of possible head-modifier dependencies for the sentence, the index set including inner arcs and outer arcs, the inners arcs representing possible head-modifier dependency between words in the sentence separated by a first distance less than or equal to a distance threshold and outer arcs representing possible head-modifier dependency between words in the sentence separated by a second distance greater than the distance threshold; pruning the index set based on an augmented vine parsing algorithm to obtain a first pruned index set, the first pruned index set including: (i) each specific inner arc when a likelihood that the specific inner arc is appropriate is greater than a first threshold, and (ii) the outer arcs when a likelihood that there exists any possible outer arc that is appropriate is greater than the first threshold; pruning the first pruned index set based on a second parsing algorithm to obtain a second pruned index set; determining a most-likely parse for the sentence from the second pruned index set; and outputting the most-likely parse. 19. The computing device of claim 12 , wherein: each specific inner arc of the inner arcs corresponds to a specific index including a specific modifier word and a specific potential head word; and the likelihood that the specific inner arc is appropriate is based on the specific modifier word and the specific potential head word. | 0.632222 |
9,141,662 | 1 | 6 | 1. A method to identify changes in evidence used to answer questions by a question answering system, comprising: identifying a first evidence related to a feature, wherein the question answering system has identified the feature as being relevant to answering a first type of question of a plurality of types of questions; detecting a change in the first evidence determining that a confidence score of a first response generated for a first question, of the first type of question, exceeds a confidence threshold; outputting an indication of the change in the first evidence; and responsive to receiving an approval to update the first response, generating an updated response for the first question. | 1. A method to identify changes in evidence used to answer questions by a question answering system, comprising: identifying a first evidence related to a feature, wherein the question answering system has identified the feature as being relevant to answering a first type of question of a plurality of types of questions; detecting a change in the first evidence determining that a confidence score of a first response generated for a first question, of the first type of question, exceeds a confidence threshold; outputting an indication of the change in the first evidence; and responsive to receiving an approval to update the first response, generating an updated response for the first question. 6. The method of claim 1 , wherein the first evidence is available, wherein the change in the first evidence comprises a change in a content of the first evidence. | 0.552198 |
9,715,874 | 9 | 15 | 9. Apparatus comprising: at least one processor; and at least one processor-readable storage medium storing processor-executable instructions that, when executed by the at least one processor, perform a method of updating an automatic speech recognition (ASR) system, the method comprising: compiling a first finite-state transducer (FST) from a set of one or more ASR models, the first FST comprising a first set of paths defining a first set of speech sequences for the ASR system to recognize based on the set of ASR models; initializing the ASR system to use the first FST in recognizing speech, by causing the first FST to be stored at the ASR system; in response to an update to the set of ASR models, compiling a second FST from the updated set of ASR models, the second FST comprising a second set of paths defining a second set of speech sequences for the ASR system to recognize based on the updated set of ASR models, the second set of speech sequences being different from the first set of speech sequences by at least one speech sequence; by analyzing the second FST together with the first FST, extracting a patch representing the difference between the first FST and the second FST, the patch being configured to be applied non-destructively to the first FST at the ASR system to cause the ASR system to use the second set of paths from the second FST in recognizing speech, wherein extracting the patch comprises generating a third FST by adding to the first FST paths that are in the second FST and not in the first FST and removing from the first FST paths that are in the first FST and notm in the second FST, resulting in the third FST encoding the second set of paths of the second FST in a different graph structure than the second FST, and forming the patch of states in the third FST that are modified and/or added with respect to the first FST; and providing the extracted patch to the ASR system as an update. | 9. Apparatus comprising: at least one processor; and at least one processor-readable storage medium storing processor-executable instructions that, when executed by the at least one processor, perform a method of updating an automatic speech recognition (ASR) system, the method comprising: compiling a first finite-state transducer (FST) from a set of one or more ASR models, the first FST comprising a first set of paths defining a first set of speech sequences for the ASR system to recognize based on the set of ASR models; initializing the ASR system to use the first FST in recognizing speech, by causing the first FST to be stored at the ASR system; in response to an update to the set of ASR models, compiling a second FST from the updated set of ASR models, the second FST comprising a second set of paths defining a second set of speech sequences for the ASR system to recognize based on the updated set of ASR models, the second set of speech sequences being different from the first set of speech sequences by at least one speech sequence; by analyzing the second FST together with the first FST, extracting a patch representing the difference between the first FST and the second FST, the patch being configured to be applied non-destructively to the first FST at the ASR system to cause the ASR system to use the second set of paths from the second FST in recognizing speech, wherein extracting the patch comprises generating a third FST by adding to the first FST paths that are in the second FST and not in the first FST and removing from the first FST paths that are in the first FST and notm in the second FST, resulting in the third FST encoding the second set of paths of the second FST in a different graph structure than the second FST, and forming the patch of states in the third FST that are modified and/or added with respect to the first FST; and providing the extracted patch to the ASR system as an update. 15. The apparatus of claim 9 , wherein the patch extracted by analyzing the second FST together with the first FST is a first patch, and wherein the method further comprises: accessing a fourth FST comprising a third set of paths defining a third set of speech sequences for the ASR system to recognize; by analyzing the fourth FST together with the second FST, extracting a second patch capable of being applied non-destructively to the first FST and the first patch at the ASR system to cause the ASR system to use the third set of paths from the fourth FST in recognizing speech. | 0.5 |
7,836,397 | 10 | 12 | 10. A document publishing system comprising: a computer embodying: a layout quality tagger for tagging candidate layouts of selected content with overall layout quality criterion values using an overall layout quality criterion combining a set of component quality criteria as a weighted linear combination of kernels, each kernel corresponding to an inner product comparing component quality criteria values of a training layout with corresponding component quality criteria values of an input layout, each kernel corresponding to an inner product between (i) a vector derived from the component quality criteria values for the corresponding training layout and (ii) a vector derived from the component quality criteria values for the input layout, and a layout selector that validates a layout for the selected content based at least on the tagged overall layout quality criterion value of the layout; and a publisher for publishing the validated layout including the selected content. | 10. A document publishing system comprising: a computer embodying: a layout quality tagger for tagging candidate layouts of selected content with overall layout quality criterion values using an overall layout quality criterion combining a set of component quality criteria as a weighted linear combination of kernels, each kernel corresponding to an inner product comparing component quality criteria values of a training layout with corresponding component quality criteria values of an input layout, each kernel corresponding to an inner product between (i) a vector derived from the component quality criteria values for the corresponding training layout and (ii) a vector derived from the component quality criteria values for the input layout, and a layout selector that validates a layout for the selected content based at least on the tagged overall layout quality criterion value of the layout; and a publisher for publishing the validated layout including the selected content. 12. The document publishing system as set forth in claim 10 , further comprising: a user interface by which an associated user constructs a candidate layout, the candidate layout being published by the publisher conditional upon the layout selector validating the constructed candidate layout. | 0.554711 |
9,619,769 | 13 | 14 | 13. A computer system comprising: one or more processors; a software program, executable on said computer system, the software program configured to: extract performance data of a process from a data object of an application to an in-memory database of the computer system, wherein the performance data is extracted to the in-memory database in real time from unmodified source data without preaggregation; store the performance data in the in-memory database; perform statistical analysis on the performance data to generate a model of at least one operational leading indicator (OLI) of the process, the model comprising calculation of a ratio without an index artifact, the ratio evaluating a first condition comprising a lock indicator of the data object in the application, and a second condition evaluating a threshold absolute balance of the data object over a defined number of posting periods, wherein the statistical analysis is performed using in-memory computing directly on the performance data stored in the in-memory database without requiring separate computer hardware; store the model of the OLI in the in-memory database; cause an in-memory database engine in communication with the model to receive inputs for performance values and performance measures of the process; cause the in-memory database engine to process an output of the statistical analysis of the model in order to produce a cost measure; performing ongoing measurements of operational performance of the process from the output of the statistical analysis of the model; determining variations in the operational performance of the process in response to the ongoing measurements; and implementing corrective action based on the variations in the operational performance of the process. | 13. A computer system comprising: one or more processors; a software program, executable on said computer system, the software program configured to: extract performance data of a process from a data object of an application to an in-memory database of the computer system, wherein the performance data is extracted to the in-memory database in real time from unmodified source data without preaggregation; store the performance data in the in-memory database; perform statistical analysis on the performance data to generate a model of at least one operational leading indicator (OLI) of the process, the model comprising calculation of a ratio without an index artifact, the ratio evaluating a first condition comprising a lock indicator of the data object in the application, and a second condition evaluating a threshold absolute balance of the data object over a defined number of posting periods, wherein the statistical analysis is performed using in-memory computing directly on the performance data stored in the in-memory database without requiring separate computer hardware; store the model of the OLI in the in-memory database; cause an in-memory database engine in communication with the model to receive inputs for performance values and performance measures of the process; cause the in-memory database engine to process an output of the statistical analysis of the model in order to produce a cost measure; performing ongoing measurements of operational performance of the process from the output of the statistical analysis of the model; determining variations in the operational performance of the process in response to the ongoing measurements; and implementing corrective action based on the variations in the operational performance of the process. 14. A computer system as in claim 13 wherein the in-memory database engine conducts predictive modeling correlating a measure of process inefficiency with the performance data to predict the cost measure. | 0.548673 |
9,785,755 | 9 | 10 | 9. The method according to claim 8 , wherein the cost of plans is based on the individual costs of the actions present in the plan. | 9. The method according to claim 8 , wherein the cost of plans is based on the individual costs of the actions present in the plan. 10. The method according to claim 9 , wherein the cost of the actions is determined in part based on whether the action is at least one of more plausible or a good action. | 0.5 |
9,886,703 | 12 | 13 | 12. The method of claim 1 , further comprising: receiving a subsequent ad request for document, wherein the subsequent ad request includes the first IP address; determining if the subsequent ad request includes a set of geographic coordinates that meet a second set of predefined criteria; in response to the set of geographic coordinates in the subsequent ad request not meeting the second set of predefined criteria, searching for the first IP address in the IP region database; in response to finding the first IP address in the IP region database, deriving a set of coordinates for the subsequent ad request from the geographical location information associated with the first IP address in the IP region database; and annotating the subsequent ad request with the derived set of coordinates. | 12. The method of claim 1 , further comprising: receiving a subsequent ad request for document, wherein the subsequent ad request includes the first IP address; determining if the subsequent ad request includes a set of geographic coordinates that meet a second set of predefined criteria; in response to the set of geographic coordinates in the subsequent ad request not meeting the second set of predefined criteria, searching for the first IP address in the IP region database; in response to finding the first IP address in the IP region database, deriving a set of coordinates for the subsequent ad request from the geographical location information associated with the first IP address in the IP region database; and annotating the subsequent ad request with the derived set of coordinates. 13. The method of claim 12 , further comprising attaching a confidence factor to the subsequent ad request based on the geographical information associated with the first IP address. | 0.5 |
8,599,836 | 1 | 12 | 1. In a computer-implemented contact center enabling a user to create and launch on demand, automated outbound interactive voice calls to contacts based on a user-provided call script, a non-transitory computer-readable medium having program code embodied therein configured to cause the execution of the following steps: a. Providing a website application accessible by the user via a user computer equipped with a web browser, the website application comprising a visual user interface for a contact center, b. Prompting the user to create a user account for accessing and using the contact center by providing user information comprising a user password, c. Providing contact information comprising contact phone numbers, the contact information stored in a contact information database on a data server of the service provider of the contact center and accessible to the user via the user's account, d. Prompting the user to optionally input custom answers per a user-generated call script where the call script comprises at least one question anticipating a custom answer from a contact, the custom answers to be recognized b a speech application, e. Providing a built-in audio recording capability enabling the user to record and save voice recordings for each event of the call script, f. Via an Event Add Wizard and Logic Add Wizard, enabling the user to build and save a call sequence based on the call script by pointing and clicking to successively add previously saved prompts of each message event and each question event of the call script and a logic for controlling the sequencing of events dependent upon the contact's response to a question event, g. Providing a Transfer to Live Attendant functionality whereby the user optionally adds a Transfer to Live Attendant Event into a call sequence during the call sequence creation step f, the transfer to Live Attendant Event causing the call to be automatically transferred to a user-provided phone number upon a specified contact response to a question event in the call sequence, h. Creating a broadcast, the broadcast defined by a saved call sequence and a plurality of contacts who are the intended recipients of a call based on the call sequence, i. Launching the broadcast, j. Automatically capturing and saving exportable audio recordings of contact voice responses to open-ended questions in the call sequence, where the call script comprises at least one open-ended question, and k. Providing one or more reports comprising information from contact responses to question events in the call sequence of the broadcast. | 1. In a computer-implemented contact center enabling a user to create and launch on demand, automated outbound interactive voice calls to contacts based on a user-provided call script, a non-transitory computer-readable medium having program code embodied therein configured to cause the execution of the following steps: a. Providing a website application accessible by the user via a user computer equipped with a web browser, the website application comprising a visual user interface for a contact center, b. Prompting the user to create a user account for accessing and using the contact center by providing user information comprising a user password, c. Providing contact information comprising contact phone numbers, the contact information stored in a contact information database on a data server of the service provider of the contact center and accessible to the user via the user's account, d. Prompting the user to optionally input custom answers per a user-generated call script where the call script comprises at least one question anticipating a custom answer from a contact, the custom answers to be recognized b a speech application, e. Providing a built-in audio recording capability enabling the user to record and save voice recordings for each event of the call script, f. Via an Event Add Wizard and Logic Add Wizard, enabling the user to build and save a call sequence based on the call script by pointing and clicking to successively add previously saved prompts of each message event and each question event of the call script and a logic for controlling the sequencing of events dependent upon the contact's response to a question event, g. Providing a Transfer to Live Attendant functionality whereby the user optionally adds a Transfer to Live Attendant Event into a call sequence during the call sequence creation step f, the transfer to Live Attendant Event causing the call to be automatically transferred to a user-provided phone number upon a specified contact response to a question event in the call sequence, h. Creating a broadcast, the broadcast defined by a saved call sequence and a plurality of contacts who are the intended recipients of a call based on the call sequence, i. Launching the broadcast, j. Automatically capturing and saving exportable audio recordings of contact voice responses to open-ended questions in the call sequence, where the call script comprises at least one open-ended question, and k. Providing one or more reports comprising information from contact responses to question events in the call sequence of the broadcast. 12. The non-transitory computer-readable medium per claim 1 further comprising program code configured to execute the step of prompting, the user to specify a caller ID which is displayed on a Caller ID-enabled contact communication device receiving the call. | 0.857379 |
9,898,527 | 4 | 7 | 4. The method as set forth in claim 1 further comprising: parsing, by an information retrieval management computing device, the received query to identify one or more new property conditions. | 4. The method as set forth in claim 1 further comprising: parsing, by an information retrieval management computing device, the received query to identify one or more new property conditions. 7. The method as set forth in claim 4 further comprising: determining, by the information retrieval management computing device, when the identified subject of interest maps to at least one instance in a database when the identified subject of interest is determined not to map to one of one or more ontology entities; and identifying, by the information retrieval management computing device, the one or more of the ontology entities that match the at least one instance in the database mapped to the identified subject of interest when the identified subject of interest is determined to map to the at least one instance in the database. | 0.512957 |
8,965,979 | 1 | 12 | 1. A method of intelligently distributing, in a networked environment, an object that represents an offering across a network, the method comprising: creating the object to represent the offering to be accessed across the network, the object being created to include metadata specifying criteria of target recipients of the offering, wherein the object is created in response to receiving a request in the networked environment from a user at a computing device; wherein the criteria specified in the metadata of the object are received from the user that requested creation of the object, wherein the criteria include semantic rules describing qualifications of the target recipients, wherein the criteria are matched to users in the networked environment, to find users who satisfy the criteria as the target recipients; automatically sending the object representing the offering across the network to the users who satisfy the criteria specified in the metadata; automatically generating multiple versions of the object to represent the offering based on an example object. | 1. A method of intelligently distributing, in a networked environment, an object that represents an offering across a network, the method comprising: creating the object to represent the offering to be accessed across the network, the object being created to include metadata specifying criteria of target recipients of the offering, wherein the object is created in response to receiving a request in the networked environment from a user at a computing device; wherein the criteria specified in the metadata of the object are received from the user that requested creation of the object, wherein the criteria include semantic rules describing qualifications of the target recipients, wherein the criteria are matched to users in the networked environment, to find users who satisfy the criteria as the target recipients; automatically sending the object representing the offering across the network to the users who satisfy the criteria specified in the metadata; automatically generating multiple versions of the object to represent the offering based on an example object. 12. The method of claim 1 , wherein the offering comprises, finding or procuring items. | 0.843525 |
8,069,130 | 1 | 5 | 1. A computer-implemented method of semiconductor testing, said method comprising: defining a first semiconductor testing rule, said semiconductor testing rule relating to semiconductor testing; validating said first semiconductor testing rule as being appropriate for a semiconductor testing system; bundling said first semiconductor testing rule with other semiconductor testing rules; correlating said first semiconductor testing rule with other semiconductor testing rules; publishing said first semiconductor testing rule so that said rule is prepared for actualization; and actualizing said published first semiconductor testing rule. | 1. A computer-implemented method of semiconductor testing, said method comprising: defining a first semiconductor testing rule, said semiconductor testing rule relating to semiconductor testing; validating said first semiconductor testing rule as being appropriate for a semiconductor testing system; bundling said first semiconductor testing rule with other semiconductor testing rules; correlating said first semiconductor testing rule with other semiconductor testing rules; publishing said first semiconductor testing rule so that said rule is prepared for actualization; and actualizing said published first semiconductor testing rule. 5. The method of claim 1 , further comprising: following up on said actualizing. | 0.877676 |
7,478,192 | 43 | 45 | 43. An associative memory computer program product according to claim 42 wherein the computer-readable program code that is configured to provide a processing system comprises: computer-readable program code that is configured to provide an observer system that is configured to observe into the network of entity associative memory networks, the associations among a respective observer entity and a plurality of observed entities that are observed by the respective observer entity, based on the plurality of input documents, to observe into the network of document associative memory networks, the associations among observed entities in a respective observer input document, to observe into the network of feedback associative memory networks, the associations among a plurality of observed entities for a respective observer positive and/or negative evaluation for a respective task of a respective user, and to observe into the network of community associative memory networks, the associations among a respective observer entity, a plurality of observed entities that are observed by the respective observer entity and a plurality of observed tasks of a plurality of users in which the observer entity was queried; and computer-readable program code that is configured to provide a query system that is configured to imagine associations of entities, documents, users and/or tasks from the network of entity associative memory networks, the network of document associative memory networks, the network of feedback associative memory networks and the network of community associative memory networks, in response to user queries. | 43. An associative memory computer program product according to claim 42 wherein the computer-readable program code that is configured to provide a processing system comprises: computer-readable program code that is configured to provide an observer system that is configured to observe into the network of entity associative memory networks, the associations among a respective observer entity and a plurality of observed entities that are observed by the respective observer entity, based on the plurality of input documents, to observe into the network of document associative memory networks, the associations among observed entities in a respective observer input document, to observe into the network of feedback associative memory networks, the associations among a plurality of observed entities for a respective observer positive and/or negative evaluation for a respective task of a respective user, and to observe into the network of community associative memory networks, the associations among a respective observer entity, a plurality of observed entities that are observed by the respective observer entity and a plurality of observed tasks of a plurality of users in which the observer entity was queried; and computer-readable program code that is configured to provide a query system that is configured to imagine associations of entities, documents, users and/or tasks from the network of entity associative memory networks, the network of document associative memory networks, the network of feedback associative memory networks and the network of community associative memory networks, in response to user queries. 45. An associative memory computer program product according to claim 43 wherein the computer-readable program code that is configured to provide an observer system comprises: computer-readable program code that is configured to provide a feedback observer that is configured to observe into the network of feedback associative memory networks, the associations among a plurality of observed entities for a respective observer positive and/or negative evaluation for a respective task of a respective user; and computer-readable program code that is configured to provide a community observer that is configured to observe into the network of community associative memory networks, the associations among a respective observer entity, a plurality of observed entities that are observed by the respective observer entity and a plurality of observed tasks of a plurality of users in which the observer entity was queried. | 0.577277 |
9,721,001 | 19 | 23 | 19. An apparatus comprising: a processor; a clause identifier implemented at least partly in one or more of configurable logic or fixed functionality logic hardware to separate a sentence into a plurality of clauses; an analyzer implemented at least partly in one or more of configurable logic or fixed functionality logic hardware to apply a set of question detection rules to each of the plurality of clauses on a clause-by-clause basis; and a sentence classifier implemented at least partly in one or more of configurable logic or fixed functionality logic hardware to automatically designate the sentence as a question and to generate notification that the sentence is a question if the question detection rules indicate that at least one clause of the plurality of clauses is a question independent of a position of the at least one clause in the sentence to reduce computational overhead at the processor. | 19. An apparatus comprising: a processor; a clause identifier implemented at least partly in one or more of configurable logic or fixed functionality logic hardware to separate a sentence into a plurality of clauses; an analyzer implemented at least partly in one or more of configurable logic or fixed functionality logic hardware to apply a set of question detection rules to each of the plurality of clauses on a clause-by-clause basis; and a sentence classifier implemented at least partly in one or more of configurable logic or fixed functionality logic hardware to automatically designate the sentence as a question and to generate notification that the sentence is a question if the question detection rules indicate that at least one clause of the plurality of clauses is a question independent of a position of the at least one clause in the sentence to reduce computational overhead at the processor. 23. The apparatus of claim 19 , wherein one or more of the question detection rules defines a clause as a question if the clause includes a modal or auxiliary word followed by a noun followed by a verb. | 0.549107 |
8,326,694 | 17 | 18 | 17. The system of claim 16 , wherein the value propositions are maintained in a value proposition database along with the weights for each value proposition. | 17. The system of claim 16 , wherein the value propositions are maintained in a value proposition database along with the weights for each value proposition. 18. The system of claim 17 , wherein the personalization engine determines at least one of the value propositions from the decision engine to present to the consumer. | 0.5 |
8,739,129 | 28 | 29 | 28. One or more non-transitory computer-readable media storing computer-executable instructions executable by a processor, the media storing one or more instructions for: identifying a call chain of methods that are called during an execution of a graphical model, the graphical model under control of a multi-domain unified debugger that enables the debugging of the graphical model, where: the graphical model includes: a first entity associated with a first modeling domain of a plurality of different types of modeling domains, and a second entity associated with a second modeling domain of the plurality of different types of modeling domains, the different types of modeling domains include a statechart domain, a time-based block diagram domain, a physical system domain, a data flow diagram domain, a unified modeling language domain, a discrete event modeling domain, or a compiled code domain, the call chain indicates an execution order of the methods associated with the first entity and the second entity, the first entity and the second entity are associated with a programming interface, and the programming interface allows access to information associated with the first entity and the second entity; transferring information associated with the first entity via the programming interface to the multi-domain unified debugger after executing the first entity; generating a first domain-specific debugger view of the graphical model, the generated first domain-specific debugger view consistent with the first modeling domain, the generating first domain-specific debugger view being based on the transferring information associated with the first entity; transferring information associated with the second entity via the programming interface to the debugger after executing the second entity; generating a second domain-specific debugger view of the graphical model, the generated second domain-specific debugger view consistent with the second modeling domain, the generating the second domain-specific debugger being based on the transferring information associated with the second entity; displaying the first domain-specific debugger view on a display device, where the first domain-specific debugger view is displayed: after the first entity is executed, concurrently with the identified call chain, and using a first user interface element; automatically transitioning to an updated domain display, the transitioning occurring when the second entity is executing; and displaying the second domain-specific debugger view on the display device, where the second domain-specific debugger view is displayed: based on the transitioning, after the second entity is executed, concurrently with the identified call chain, and using a second user interface element. | 28. One or more non-transitory computer-readable media storing computer-executable instructions executable by a processor, the media storing one or more instructions for: identifying a call chain of methods that are called during an execution of a graphical model, the graphical model under control of a multi-domain unified debugger that enables the debugging of the graphical model, where: the graphical model includes: a first entity associated with a first modeling domain of a plurality of different types of modeling domains, and a second entity associated with a second modeling domain of the plurality of different types of modeling domains, the different types of modeling domains include a statechart domain, a time-based block diagram domain, a physical system domain, a data flow diagram domain, a unified modeling language domain, a discrete event modeling domain, or a compiled code domain, the call chain indicates an execution order of the methods associated with the first entity and the second entity, the first entity and the second entity are associated with a programming interface, and the programming interface allows access to information associated with the first entity and the second entity; transferring information associated with the first entity via the programming interface to the multi-domain unified debugger after executing the first entity; generating a first domain-specific debugger view of the graphical model, the generated first domain-specific debugger view consistent with the first modeling domain, the generating first domain-specific debugger view being based on the transferring information associated with the first entity; transferring information associated with the second entity via the programming interface to the debugger after executing the second entity; generating a second domain-specific debugger view of the graphical model, the generated second domain-specific debugger view consistent with the second modeling domain, the generating the second domain-specific debugger being based on the transferring information associated with the second entity; displaying the first domain-specific debugger view on a display device, where the first domain-specific debugger view is displayed: after the first entity is executed, concurrently with the identified call chain, and using a first user interface element; automatically transitioning to an updated domain display, the transitioning occurring when the second entity is executing; and displaying the second domain-specific debugger view on the display device, where the second domain-specific debugger view is displayed: based on the transitioning, after the second entity is executed, concurrently with the identified call chain, and using a second user interface element. 29. The non-transitory computer-readable media of claim 28 wherein the displayed call chain includes one or more names associated with the called methods. | 0.5 |
4,697,242 | 1 | 2 | 1. A computing system comprising, in combination, a source of input data comprising k-bit binary message words, a message memory for storing said input data and additional k-bit binary message words, a classifier memory for storing a plurality of classifiers, each of said classifiers being composed of a condition part, an action part, and a strength value, said condition part comprising one or more k-position ternary words each of which specifies a subset of the possible k-bit binary message words, and said action part comprising at least one k-position ternary word which at least partially specifies the content of a new message word, matching means for comparing each message word in said message memory with the condition part of each classifier in said classifier memory, means responsive to said matching means for generating new message word whenever each of the ternary words in the condition part of a classifier is satisfied by at least one message in said message memory, and means for increasing the strength value associated with a particular classifier whenever said particular classifier generates a new message word to which a further classifier responds by generating a message word. | 1. A computing system comprising, in combination, a source of input data comprising k-bit binary message words, a message memory for storing said input data and additional k-bit binary message words, a classifier memory for storing a plurality of classifiers, each of said classifiers being composed of a condition part, an action part, and a strength value, said condition part comprising one or more k-position ternary words each of which specifies a subset of the possible k-bit binary message words, and said action part comprising at least one k-position ternary word which at least partially specifies the content of a new message word, matching means for comparing each message word in said message memory with the condition part of each classifier in said classifier memory, means responsive to said matching means for generating new message word whenever each of the ternary words in the condition part of a classifier is satisfied by at least one message in said message memory, and means for increasing the strength value associated with a particular classifier whenever said particular classifier generates a new message word to which a further classifier responds by generating a message word. 2. A computing system as set forth in claim 1 further comprising, in combination, means for decreasing the strength value associated with a given classifier whenever the given classifier responds to existing messages by generating a new message word. | 0.728261 |
8,438,009 | 1 | 10 | 1. A method for enhancing a performance of a first classifier implemented on a computing device used for classifying a first subset of documents written in a first language, the method comprising: a) receiving, at the computing device, a second subset of documents written in a second language different than the first language, said second subset including substantially the same content as the first subset; b) running the first classifier over the first subset to generate a first classification; c) running a second classifier implemented on the computing device over the second subset to generate a second classification; d) reducing a training cost between the first and second classifications, including repeating steps b) and c) wherein each classifier updates its own classification in view of the classification generated by the other classifier until the training cost is set to a minimum; the reducing comprising applying at least one of a gradient based algorithm for reducing the training cost between classifications, and an analytical algorithm for finding an approximate solution that reduces classification losses to reduce the training cost between classifications; and e) outputting at least one of said first classification and said first classifier. | 1. A method for enhancing a performance of a first classifier implemented on a computing device used for classifying a first subset of documents written in a first language, the method comprising: a) receiving, at the computing device, a second subset of documents written in a second language different than the first language, said second subset including substantially the same content as the first subset; b) running the first classifier over the first subset to generate a first classification; c) running a second classifier implemented on the computing device over the second subset to generate a second classification; d) reducing a training cost between the first and second classifications, including repeating steps b) and c) wherein each classifier updates its own classification in view of the classification generated by the other classifier until the training cost is set to a minimum; the reducing comprising applying at least one of a gradient based algorithm for reducing the training cost between classifications, and an analytical algorithm for finding an approximate solution that reduces classification losses to reduce the training cost between classifications; and e) outputting at least one of said first classification and said first classifier. 10. The method of claim 1 , wherein providing the second subset comprises providing a subset which is comparable to the first subset. | 0.615607 |
9,558,268 | 1 | 7 | 1. A method for semantically labeling an image acquired of a scene, comprising steps of: obtaining a local semantic feature from each local region in the image; combining recursively the local semantic features to form intermediate segments until a semantic feature for the entire image is obtained; decombining recursively the semantic feature for the entire image into intermediate segments until an enhanced semantic feature for each local region is obtained; and labeling each local region according to the enhanced semantic feature, wherein the steps are performed in a processor. | 1. A method for semantically labeling an image acquired of a scene, comprising steps of: obtaining a local semantic feature from each local region in the image; combining recursively the local semantic features to form intermediate segments until a semantic feature for the entire image is obtained; decombining recursively the semantic feature for the entire image into intermediate segments until an enhanced semantic feature for each local region is obtained; and labeling each local region according to the enhanced semantic feature, wherein the steps are performed in a processor. 7. The method of claim 1 , where the mapping is according to x i =F sem (v i ;θ sem ), wherein x i is the semantic feature, v i is the local feature, and θ sem is a semantic mapping parameter, where the combing is according to x i,j =F sem ([x i ,x j ];θ com ), wherein x i,j a semantic feature of a parent node obtained from child nodes x i ,x j in a binary parse tree, and θ com is a combining parameter; where the decombining is according to {tilde over (x)} i =F dec ([{tilde over (x)} i,j ,x i ];θ dec ), wherein {tilde over (x)} is an enhanced semantic feature of a child node obtained from a parent node {tilde over (x)} i,j and x i , and θ sem is a decombining parameter, and wherein the labeling is according to y i =F lab ({tilde over (x)} i ;θ lab ), wherein y i is a label, and θ sem is a labeling parameter. | 0.5 |
9,236,047 | 16 | 17 | 16. The computer-readable storage device of claim 15 , further comprising: identifying a plurality of text chunks associated with the text stream, wherein each of the plurality of text chunk is identified according to at least one boundary and wherein the at least one boundary comprises at least one of the following: a pause in the recorded voice stream, a sentence boundary, a conjunction word within the text stream, and a phrase boundary. | 16. The computer-readable storage device of claim 15 , further comprising: identifying a plurality of text chunks associated with the text stream, wherein each of the plurality of text chunk is identified according to at least one boundary and wherein the at least one boundary comprises at least one of the following: a pause in the recorded voice stream, a sentence boundary, a conjunction word within the text stream, and a phrase boundary. 17. The computer-readable storage device of claim 16 , further comprising displaying each of the plurality of text chunks that at least partially match the text input to the user as a list of selectable elements. | 0.5 |
9,916,300 | 9 | 10 | 9. A method comprising: receiving, by use of a processor, a handwritten sub-character, the handwritten sub-character comprising one or more character strokes; determining a hint list based on the handwritten sub-character, the hint list comprising at least one entry, each entry being a character that comprises the handwritten sub-character; identifying a number of post-character strokes corresponding to each entry in the hint list, a post-character stroke being a stroke added to the sub-character to form the entry; receiving the at least one indication of an additional stroke relating to the handwritten sub-character, wherein the at least one indication of an additional stroke is a different input than a character stroke, said indication selected from the group consisting of: a tap that represents an additional character stroke and does not indicate a specific character stroke at a location of the touch-sensitive input panel adjacent to a location of the handwritten sub-character, a button press that represents an additional character stroke and does not indicate a specific character stroke; and updating the hint list based on a number of additional strokes determined using the at least one indication of an additional stroke, wherein updating the hint list based on the number of additional strokes comprises removing each entry in the hint list whose number of post-character strokes is less than the number of additional strokes. | 9. A method comprising: receiving, by use of a processor, a handwritten sub-character, the handwritten sub-character comprising one or more character strokes; determining a hint list based on the handwritten sub-character, the hint list comprising at least one entry, each entry being a character that comprises the handwritten sub-character; identifying a number of post-character strokes corresponding to each entry in the hint list, a post-character stroke being a stroke added to the sub-character to form the entry; receiving the at least one indication of an additional stroke relating to the handwritten sub-character, wherein the at least one indication of an additional stroke is a different input than a character stroke, said indication selected from the group consisting of: a tap that represents an additional character stroke and does not indicate a specific character stroke at a location of the touch-sensitive input panel adjacent to a location of the handwritten sub-character, a button press that represents an additional character stroke and does not indicate a specific character stroke; and updating the hint list based on a number of additional strokes determined using the at least one indication of an additional stroke, wherein updating the hint list based on the number of additional strokes comprises removing each entry in the hint list whose number of post-character strokes is less than the number of additional strokes. 10. The method of claim 9 , wherein receiving the at least one indication of an additional stroke comprises receiving input at a separate field of the touch-sensitive input panel than that used to input the handwritten sub-character. | 0.787409 |
8,275,808 | 3 | 4 | 3. The method as in claim 2 , further comprising associating an attribute type version with the attribute type. | 3. The method as in claim 2 , further comprising associating an attribute type version with the attribute type. 4. The method as in claim 3 , wherein the attribute type version is incremented in the event that an attribute is added to or deleted from the attribute type. | 0.538012 |
8,185,867 | 25 | 31 | 25. A computer-implemented method for generating an object according to an abstract object model for use as a reusable software component, comprising: instantiating code for the object that corresponds to a plurality of uniform functions; instantiating code for the object that corresponds to at least one abstraction conversion tool, the abstraction conversion tool driven by a definitions file having a plurality of sections that define a correspondence between stored data and one or more objects corresponding to at least some of the stored data such that the definitions file may be changed without recompiling code for the one or more objects; and instantiating code for the object that implements a plurality of object behaviors including notification of a change to an attribute of the object, notification of an addition of an attribute to the object, and notification of a removal of an attribute of the object. | 25. A computer-implemented method for generating an object according to an abstract object model for use as a reusable software component, comprising: instantiating code for the object that corresponds to a plurality of uniform functions; instantiating code for the object that corresponds to at least one abstraction conversion tool, the abstraction conversion tool driven by a definitions file having a plurality of sections that define a correspondence between stored data and one or more objects corresponding to at least some of the stored data such that the definitions file may be changed without recompiling code for the one or more objects; and instantiating code for the object that implements a plurality of object behaviors including notification of a change to an attribute of the object, notification of an addition of an attribute to the object, and notification of a removal of an attribute of the object. 31. The method of claim 25 wherein the stored data comprises data stored in a plurality of relational database tables. | 0.8742 |
7,818,179 | 1 | 3 | 1. A non-transitory storage device embodying instructions executable by a processor to perform an automated method for providing awareness of speech habits of a speaker using the program storage device, comprising: receiving speech input from the speaker during a speaking session; receiving speech input from a different speaker during the speaking session; segmenting in real time the speech input from the speaker from the speech input from the different speaker; processing segmented speech input from the speaker to determine that a speech habit of the speaker occurs; and generating an alert to the speaker in real time while the speaker is speaking during the speaking session from which the speech input of the speaker and the speech input from the different speaker is segmented, wherein the speech input from the speaker is analyzed to detect one or more words or expressions or sounds, if any, which are specified in a vocabulary list, in the speech input of the user, wherein an identified speech habit comprises exceeding a range of volume of speaking a word or expression specified in the vocabulary list, and wherein a counter is incremented corresponding to a number of instances of exceeding a range of volume in the speech input from the speaker and the counter is compared to a repetition threshold for determining a speech habit in the speech input from the speaker based upon a predetermined value of the counter within a predetermined time period. | 1. A non-transitory storage device embodying instructions executable by a processor to perform an automated method for providing awareness of speech habits of a speaker using the program storage device, comprising: receiving speech input from the speaker during a speaking session; receiving speech input from a different speaker during the speaking session; segmenting in real time the speech input from the speaker from the speech input from the different speaker; processing segmented speech input from the speaker to determine that a speech habit of the speaker occurs; and generating an alert to the speaker in real time while the speaker is speaking during the speaking session from which the speech input of the speaker and the speech input from the different speaker is segmented, wherein the speech input from the speaker is analyzed to detect one or more words or expressions or sounds, if any, which are specified in a vocabulary list, in the speech input of the user, wherein an identified speech habit comprises exceeding a range of volume of speaking a word or expression specified in the vocabulary list, and wherein a counter is incremented corresponding to a number of instances of exceeding a range of volume in the speech input from the speaker and the counter is compared to a repetition threshold for determining a speech habit in the speech input from the speaker based upon a predetermined value of the counter within a predetermined time period. 3. The non-transitory storage device of claim 1 , wherein: speech processing results obtained during the speaking session are storable, and analysis of the speech processing results is performable after the speaking session has ended, wherein a predetermined number of spoken words before and after a detected word/expression or sound in the storable speech processing results is recorded to provide a context for the detected word/expression or sound. | 0.715006 |
9,697,195 | 1 | 10 | 1. A computing system that generates a lexicon of a social network, the computing system comprising: a processor; and memory storing instructions that, when executed by the processor, provide: a lexicon generator that: for respective messages of the social network: identifies a context of the message, scans the message to identify a set of word sequences, and counts an occurrence of the respective word sequences among the messages within the context; for respective contexts, generates a lexicon for the context that comprises the word sequences identified in the messages with a higher count than a word sequence count threshold; identifies a selected word sequence by which at least one user of the social network who is associated with the selected word sequence is identifiable; and refrains from including the selected word sequence from the lexicon; and a lexicon presenter that, responsive to a selection by a user of a selected context, presents to the user the lexicon of word sequences for the selected context. | 1. A computing system that generates a lexicon of a social network, the computing system comprising: a processor; and memory storing instructions that, when executed by the processor, provide: a lexicon generator that: for respective messages of the social network: identifies a context of the message, scans the message to identify a set of word sequences, and counts an occurrence of the respective word sequences among the messages within the context; for respective contexts, generates a lexicon for the context that comprises the word sequences identified in the messages with a higher count than a word sequence count threshold; identifies a selected word sequence by which at least one user of the social network who is associated with the selected word sequence is identifiable; and refrains from including the selected word sequence from the lexicon; and a lexicon presenter that, responsive to a selection by a user of a selected context, presents to the user the lexicon of word sequences for the selected context. 10. The computer system of claim 1 , wherein the lexicon generator further removes uniquely identifying information from the respective messages that identifies the generators or sharers of the messages. | 0.7881 |
9,990,191 | 4 | 12 | 4. A computer network system including one or more databases communicating over the computer network for translating software, the system comprising: one or more central processing units (CPU); a first database executing instructions in the one or more CPUs to store software for one or more applications and having a first buffer that stores content selected for translation, wherein the first database stores, from one or more third-party application developers, software applications that require translation, wherein one or more languages selected for translation are selected by the one or more third-party application developers; a second database executing instructions in the one or more CPUs to receive the content stored in the first buffer of the first database and to store profiles associated with one or more translators; a notification component executing instructions in the CPU to notify the one or more translators of content stored in the second database that matches a language stored in the profiles corresponding to the one or more translators; and a second buffer executing instructions in the one or more CPUs to receive translated content and to store the translated updated content for verification, wherein the second buffer is isolated from the first database that includes one or more software development files corresponding to the one or more applications. | 4. A computer network system including one or more databases communicating over the computer network for translating software, the system comprising: one or more central processing units (CPU); a first database executing instructions in the one or more CPUs to store software for one or more applications and having a first buffer that stores content selected for translation, wherein the first database stores, from one or more third-party application developers, software applications that require translation, wherein one or more languages selected for translation are selected by the one or more third-party application developers; a second database executing instructions in the one or more CPUs to receive the content stored in the first buffer of the first database and to store profiles associated with one or more translators; a notification component executing instructions in the CPU to notify the one or more translators of content stored in the second database that matches a language stored in the profiles corresponding to the one or more translators; and a second buffer executing instructions in the one or more CPUs to receive translated content and to store the translated updated content for verification, wherein the second buffer is isolated from the first database that includes one or more software development files corresponding to the one or more applications. 12. The computer network system of claim 4 , wherein the second database updates the profiles associated with the one or more translators to record when the one or more translators accessed the second database and when the translated content was received from the one or more translators. | 0.5 |
8,925,108 | 1 | 3 | 1. A machine-implemented method comprising: presenting, by a server of a document control system to a client system, the server comprising a processor and a memory device, an electronic document tethered to the document control system and a consent query that requests consent to an audit event relating to the electronic document; receiving, in response to the presented consent query, a consent indication with respect to a consent statement relating to the audit event; sending information corresponding to the consent indication to the document control system, the consent indication information configured to be included with actions-taken information relating to the electronic document; and combining and signing the actions-taken information and the electronic document. | 1. A machine-implemented method comprising: presenting, by a server of a document control system to a client system, the server comprising a processor and a memory device, an electronic document tethered to the document control system and a consent query that requests consent to an audit event relating to the electronic document; receiving, in response to the presented consent query, a consent indication with respect to a consent statement relating to the audit event; sending information corresponding to the consent indication to the document control system, the consent indication information configured to be included with actions-taken information relating to the electronic document; and combining and signing the actions-taken information and the electronic document. 3. The machine-implemented method of claim 1 , wherein the document control system provides document security for documents tethered thereto. | 0.738889 |
9,620,128 | 33 | 54 | 33. A computationally-implemented method, comprising: storing a reference to a location of adaptation data, wherein the adaptation data is at least partly based on at least one speech interaction of a particular party; testing an availability of the adaptation data by comparing a property of the adaptation data located at the referenced location with an expected value of the property of the adaptation data; facilitating transmission of the adaptation data to a target device when there is an indication of a speech-facilitated transaction between the target device and the particular party, wherein the adaptation data is configured to be applied to the target device to assist in execution of the speech-facilitated transaction; and facilitating acquisition of adaptation result data that is based on at least one aspect of the speech-facilitated transaction and configured to be used in determining whether to modify the adaptation data. | 33. A computationally-implemented method, comprising: storing a reference to a location of adaptation data, wherein the adaptation data is at least partly based on at least one speech interaction of a particular party; testing an availability of the adaptation data by comparing a property of the adaptation data located at the referenced location with an expected value of the property of the adaptation data; facilitating transmission of the adaptation data to a target device when there is an indication of a speech-facilitated transaction between the target device and the particular party, wherein the adaptation data is configured to be applied to the target device to assist in execution of the speech-facilitated transaction; and facilitating acquisition of adaptation result data that is based on at least one aspect of the speech-facilitated transaction and configured to be used in determining whether to modify the adaptation data. 54. The computationally-implemented method of claim 33 , wherein said facilitating transmission of the adaptation data to a target device when there is an indication of a speech-facilitated transaction between the target device and the particular party, wherein the adaptation data is configured to be applied to the target device to assist in execution of the speech-facilitated transaction comprises: facilitating transmission of the adaptation data to the target device when there is the indication of the speech-facilitated transaction between the target device and the particular party, wherein the speech-facilitated transaction includes providing an order to a home convenience system to change a temperature in a room to a particular level, and to play a particular type of music over a speaker system in the home. | 0.856193 |
6,023,714 | 11 | 17 | 11. In a computer network comprising a server system and a client system, a server-controlled method for generating a style sheet used by the client system to format a document for presentation on an output device attached to the client system comprising the steps of: retrieving the document and a layout generator; and using the layout generator to perform the steps of: interrogating the output device coupled to the client system to determine a set of capabilities of the output device; based upon the set of capabilities of the output device, generating a style sheet having a plurality of style definitions; and sending the style sheet and the document to the client system. | 11. In a computer network comprising a server system and a client system, a server-controlled method for generating a style sheet used by the client system to format a document for presentation on an output device attached to the client system comprising the steps of: retrieving the document and a layout generator; and using the layout generator to perform the steps of: interrogating the output device coupled to the client system to determine a set of capabilities of the output device; based upon the set of capabilities of the output device, generating a style sheet having a plurality of style definitions; and sending the style sheet and the document to the client system. 17. The server-controlled method of claim 11, wherein the style sheet is external to the document. | 0.859599 |
9,275,045 | 12 | 15 | 12. A handheld electronic device, comprising: a display; a processor apparatus comprising a processor and a memory in electronic communication with one another, said processor apparatus having stored therein a number of routines which, when executed on said processor, cause said handheld electronic device to perform operations comprising: receiving an input, wherein the input is associated with a pending linguistic element and at least one previously entered linguistic element; determining that the at least one previously entered linguistic element has a predetermined characteristic, wherein the predetermined characteristic comprises belonging to a particular class of verbs; determining a preferred output for the pending linguistic element based on the predetermined characteristic of the at least one previously entered linguistic element, wherein the preferred output of the pending linguistic element differs from the at least one previously entered linguistic element; displaying on the display a variant component comprising the at least preferred output of the pending linguistic element and an alternative output, wherein the variant component is displayed in proximity to a display of the at least one previously entered linguistic element; and based on selection from the variant component, presenting on the display a selected output of the pending linguistic element in the output apparatus. | 12. A handheld electronic device, comprising: a display; a processor apparatus comprising a processor and a memory in electronic communication with one another, said processor apparatus having stored therein a number of routines which, when executed on said processor, cause said handheld electronic device to perform operations comprising: receiving an input, wherein the input is associated with a pending linguistic element and at least one previously entered linguistic element; determining that the at least one previously entered linguistic element has a predetermined characteristic, wherein the predetermined characteristic comprises belonging to a particular class of verbs; determining a preferred output for the pending linguistic element based on the predetermined characteristic of the at least one previously entered linguistic element, wherein the preferred output of the pending linguistic element differs from the at least one previously entered linguistic element; displaying on the display a variant component comprising the at least preferred output of the pending linguistic element and an alternative output, wherein the variant component is displayed in proximity to a display of the at least one previously entered linguistic element; and based on selection from the variant component, presenting on the display a selected output of the pending linguistic element in the output apparatus. 15. A handheld electronic device according to claim 12 , wherein the processor configured to determine the preferred output is based upon the handheld electronic device operative language. | 0.664286 |
7,650,286 | 110 | 122 | 110. A system for using a computer to identify a matching resume for a job description, comprising: means for receiving the job description that includes at least one job requirement, each said at least one job requirement comprising a required skill or experience-related phrase and a required term of experience for the required skill or experience-related phrase; means for storing the job description; means for receiving at least one resume; means for parsing each said at least one resume to: locate at least one skill or experience-related phrase in the resume; determine an experience range for each said at least one skill or experience-related phrase by examining a use of each said at least one skill or experience-related phrase in the resume; and compute a term of experience for each said at least one skill or experience-related phrase based on the experience range, wherein the term of experience for each said at least one skill or experience-related phrase is a summation of the term of experience for each occurrence of the phrase associated with a different experience range, wherein said at least one skill or experience-related phrase includes the required skill or experience-related phrase for at least one of said at least one job requirement, wherein each resume summarizes a candidate's career and qualifications, and wherein each resume conveys personal and business-related characteristics that the candidate believes to be relevant to a prospective employer; means for storing each said at least one resume; means for computing, for each said at least one resume, a term of experience for the required skill or experience-related phrase for each said at least one job requirement; and means for determining whether each said at least one resume is the matching resume that satisfies the job description. | 110. A system for using a computer to identify a matching resume for a job description, comprising: means for receiving the job description that includes at least one job requirement, each said at least one job requirement comprising a required skill or experience-related phrase and a required term of experience for the required skill or experience-related phrase; means for storing the job description; means for receiving at least one resume; means for parsing each said at least one resume to: locate at least one skill or experience-related phrase in the resume; determine an experience range for each said at least one skill or experience-related phrase by examining a use of each said at least one skill or experience-related phrase in the resume; and compute a term of experience for each said at least one skill or experience-related phrase based on the experience range, wherein the term of experience for each said at least one skill or experience-related phrase is a summation of the term of experience for each occurrence of the phrase associated with a different experience range, wherein said at least one skill or experience-related phrase includes the required skill or experience-related phrase for at least one of said at least one job requirement, wherein each resume summarizes a candidate's career and qualifications, and wherein each resume conveys personal and business-related characteristics that the candidate believes to be relevant to a prospective employer; means for storing each said at least one resume; means for computing, for each said at least one resume, a term of experience for the required skill or experience-related phrase for each said at least one job requirement; and means for determining whether each said at least one resume is the matching resume that satisfies the job description. 122. The system of claim 110 , wherein the matching resume satisfies the job description when the resume includes the required skill or experience-related phrase for any said at least one job requirement, and the term of experience for the required skill or experience-related phrase in the resume is greater than or equal to the required term of experience. | 0.5 |
9,560,145 | 16 | 17 | 16. An apparatus, comprising: a mapping module; a data generator module; a memory element for storing data; and a processor, wherein the processor executes instructions associated with the data, wherein the processor and the memory element cooperate, such that the apparatus is configured as a first UPnP device in a first UPnP network for: mapping, by the mapping module, a first content formatted according to UDA protocols to at least one stanza formatted according to XMPP; generating, by the data generator module, data comprising the at least one XMPP stanza and a second content formatted according to UPnP DCPs, wherein the second content comprises device-specific information related to the first UPnP entity; and transmitting the data in an XML stream over an XMPP network from the first UPnP entity to a second UPnP entity in a second, remote UPnP network. | 16. An apparatus, comprising: a mapping module; a data generator module; a memory element for storing data; and a processor, wherein the processor executes instructions associated with the data, wherein the processor and the memory element cooperate, such that the apparatus is configured as a first UPnP device in a first UPnP network for: mapping, by the mapping module, a first content formatted according to UDA protocols to at least one stanza formatted according to XMPP; generating, by the data generator module, data comprising the at least one XMPP stanza and a second content formatted according to UPnP DCPs, wherein the second content comprises device-specific information related to the first UPnP entity; and transmitting the data in an XML stream over an XMPP network from the first UPnP entity to a second UPnP entity in a second, remote UPnP network. 17. The apparatus of claim 16 , wherein the first content includes discovery information according to SSDP, wherein a portion of the discovery information is mapped to an appropriate<presence/>stanza according to XMPP. | 0.5 |
7,805,397 | 19 | 22 | 19. An intelligent data management system for reasoning about data, comprising: (i) data source for providing the data; (ii) means for accessing the data; (iii) means for determining a type of the data from a group consisting of numeric, linguistic and a hybrid combination thereof; (iv) means for selecting a rule for firing based on the determined type of the data; (v) means for obtaining fuzzy membership grades; (vi) means for aggregating the fuzzy membership grades by invoking a parametric formulation; (vii) means for applying a compositional rule of inference parametrically to extract a consequent to obtain a fuzzy output; (viii) means for defuzifying the fuzzy output; and (ix) client device for accessing the output. | 19. An intelligent data management system for reasoning about data, comprising: (i) data source for providing the data; (ii) means for accessing the data; (iii) means for determining a type of the data from a group consisting of numeric, linguistic and a hybrid combination thereof; (iv) means for selecting a rule for firing based on the determined type of the data; (v) means for obtaining fuzzy membership grades; (vi) means for aggregating the fuzzy membership grades by invoking a parametric formulation; (vii) means for applying a compositional rule of inference parametrically to extract a consequent to obtain a fuzzy output; (viii) means for defuzifying the fuzzy output; and (ix) client device for accessing the output. 22. The system according to claim 19 , further including a load balancer for balancing loads between client devices and the system. | 0.634078 |
9,195,362 | 1 | 2 | 1. A method of rendering a user interface (UI), the method comprising: receiving, from a UI client engine associated with an application, a UI component tree for the application, the UI component tree comprising: UI component nodes each having associated predefined contextual rendering information, and a custom rendering element node having associated incomplete contextual rendering information; generating UI rendering instructions in accordance with the UI component tree by: for each UI component node, using the predefined contextual rendering information to generate UI component rendering instructions, for the custom rendering element node, retrieving custom rendering instructions generated by the application and generating incomplete rendering instructions based on the incomplete contextual rendering information, the custom rendering instructions comprises a first part of instructions for rendering a corresponding custom rendering element, and the incomplete rendering instructions comprising a second part of instructions for rendering said corresponding custom rendering element; and combining the UI component rendering instructions, the incomplete rendering instructions and the retrieved custom rendering instructions; and rendering the UI in accordance with the generated UI rendering instructions. | 1. A method of rendering a user interface (UI), the method comprising: receiving, from a UI client engine associated with an application, a UI component tree for the application, the UI component tree comprising: UI component nodes each having associated predefined contextual rendering information, and a custom rendering element node having associated incomplete contextual rendering information; generating UI rendering instructions in accordance with the UI component tree by: for each UI component node, using the predefined contextual rendering information to generate UI component rendering instructions, for the custom rendering element node, retrieving custom rendering instructions generated by the application and generating incomplete rendering instructions based on the incomplete contextual rendering information, the custom rendering instructions comprises a first part of instructions for rendering a corresponding custom rendering element, and the incomplete rendering instructions comprising a second part of instructions for rendering said corresponding custom rendering element; and combining the UI component rendering instructions, the incomplete rendering instructions and the retrieved custom rendering instructions; and rendering the UI in accordance with the generated UI rendering instructions. 2. The method of claim 1 , wherein the custom rendering instructions generated by the application are stored at a synchronization object. | 0.621547 |
9,557,913 | 7 | 9 | 7. A non-transitory computer-readable storage medium storing computer-executable program instructions that, when executed by a processor, perform an input method for an electronic device having a touch-sensitive screen and processor, the method comprising: displaying in a display area of the touch-sensitive screen a virtual keyboard; displaying within the virtual keyboard a plurality of keys, each of at least some of the keys corresponding to one or more different characters of a plurality of characters; displaying within the display area a viewing pane configured to hold a predetermined amount of text, the viewing pane including a first cursor, and the first cursor being displayed at a position adjacent to an end of displayed text in the viewing pane; displaying within the display area a ticker proximate to the virtual keyboard, the ticker including a second cursor, the second cursor associated with the first cursor, and the second cursor being displayed in the ticker at a position equidistant relative to a right edge of the ticker and to a left edge of the ticker within the display area and after each completed word; responsive to each touch input associated with a selected one of the plurality of keys: displaying a corresponding input character left of the second cursor in the ticker while the second cursor moves to a next position in the display area; and displaying the corresponding input character adjacent to the first cursor while the first cursor moves to a next position adjacent to the displayed input character in the viewing pane; and providing a horizontally scrolling marquee display of characters inline within the ticker responsive to each completed word and until the second cursor is in the position equidistant relative to the right edge of the ticker and to the left edge of the ticker within the display area. | 7. A non-transitory computer-readable storage medium storing computer-executable program instructions that, when executed by a processor, perform an input method for an electronic device having a touch-sensitive screen and processor, the method comprising: displaying in a display area of the touch-sensitive screen a virtual keyboard; displaying within the virtual keyboard a plurality of keys, each of at least some of the keys corresponding to one or more different characters of a plurality of characters; displaying within the display area a viewing pane configured to hold a predetermined amount of text, the viewing pane including a first cursor, and the first cursor being displayed at a position adjacent to an end of displayed text in the viewing pane; displaying within the display area a ticker proximate to the virtual keyboard, the ticker including a second cursor, the second cursor associated with the first cursor, and the second cursor being displayed in the ticker at a position equidistant relative to a right edge of the ticker and to a left edge of the ticker within the display area and after each completed word; responsive to each touch input associated with a selected one of the plurality of keys: displaying a corresponding input character left of the second cursor in the ticker while the second cursor moves to a next position in the display area; and displaying the corresponding input character adjacent to the first cursor while the first cursor moves to a next position adjacent to the displayed input character in the viewing pane; and providing a horizontally scrolling marquee display of characters inline within the ticker responsive to each completed word and until the second cursor is in the position equidistant relative to the right edge of the ticker and to the left edge of the ticker within the display area. 9. The non-transitory computer-readable storage medium of claim 7 , wherein the method further comprises: displaying, at a location inline within the ticker to the right of the second cursor, one or more subsequent candidate input characters determined by a prediction process based on one or more of corresponding input characters. | 0.5 |
9,880,997 | 14 | 16 | 14. A method, comprising: obtaining, by a device, information identifying type classifications via an interface or from a memory, the interface including one or more of a communication interface or a user interface, each type classification, of the type classifications, indicating that terms classified under the type classification are expressed by a particular type of value of a plurality of types of values, the plurality of types of values including character strings and numeric values; obtaining, by the device and via the interface, text to be processed to infer one or more type classifications associated with unique terms, the text being included in a file associated with development of a computer program for a computer system, and each respective term, of the terms, being associated with a plurality of different possible values of a same type classification of the one or more type classifications; standardizing, by the device, the text to prepare the text for processing by adjusting at least one character in the text of the file; processing, by the device, the text that has been standardized to identify terms in the text based on delimiting characters in the text; associating, by the device, at least one tag with the identified terms in the text, the at least one tag being one or more of a part-of-speech tag, an entity tag, or a term tag; extracting, by the device and based on the at least one tag associated with the terms, one or more terms, of the terms identified in the text, as unique terms for which to infer the one or more type classifications, a quantity of the unique terms being fewer than a quantity of the terms identified in the text; generating a data structure that stores the unique terms; inferring, by the device, a type relationship between a particular term, of the unique terms stored in the data structure, and a particular type classification, of the one or more type classifications, by performing one or more type classification techniques, the one or more type classification techniques including at least one of: a name-based analysis that compares the particular term to a set of name-based type indicators associated with the particular type classification, a context-based analysis that compares a modifier, that modifies the particular term, to a set of context-based type indicators associated with the particular type classification, a synonym-based analysis that compares a synonym, of the particular term, to the set of name-based type indicators associated with the particular type classification, or a value-based analysis that compares a value, that appears within a threshold proximity of the particular term, to a set of value-based type indicators or a set of value-based type patterns associated with the particular type classification; classifying, by the device, the unique terms by assigning the one or more type classifications to the unique terms based on performing the one or more type classification techniques; providing, for display via the interface and by the device, information associated with development of the computer program, the information associated with development of the computer program identifying the type relationship, between the particular term and the particular type classification, based on inferring the type relationship and further based on performing the one or more type classification techniques; receiving, via the interface and by the device, a set of test data rules from a user or from another device; generating, by the device, test data based on the set of test data rules, the test data including the unique terms to be classified, type classifications under which the unique terms are to be classified, and values for the unique terms; applying, by the device, the test data to the computer program, the computer program being designed based on the text that was processed to infer one or more type classifications for the unique terms extracted from the text, and the applying of the test data to the computer program includes input of the test data to the computer program and executing the computer program to: classify the test data to obtain a confidence score associated with the classifying a unique term, of the unique terms, under each of the type classifications determined to be associated with the unique term; and providing, by the device and for display to the user or to another device, the test data, the one or more type classifications generated from the test data, and the confidence score associated with the one or more type classifications. | 14. A method, comprising: obtaining, by a device, information identifying type classifications via an interface or from a memory, the interface including one or more of a communication interface or a user interface, each type classification, of the type classifications, indicating that terms classified under the type classification are expressed by a particular type of value of a plurality of types of values, the plurality of types of values including character strings and numeric values; obtaining, by the device and via the interface, text to be processed to infer one or more type classifications associated with unique terms, the text being included in a file associated with development of a computer program for a computer system, and each respective term, of the terms, being associated with a plurality of different possible values of a same type classification of the one or more type classifications; standardizing, by the device, the text to prepare the text for processing by adjusting at least one character in the text of the file; processing, by the device, the text that has been standardized to identify terms in the text based on delimiting characters in the text; associating, by the device, at least one tag with the identified terms in the text, the at least one tag being one or more of a part-of-speech tag, an entity tag, or a term tag; extracting, by the device and based on the at least one tag associated with the terms, one or more terms, of the terms identified in the text, as unique terms for which to infer the one or more type classifications, a quantity of the unique terms being fewer than a quantity of the terms identified in the text; generating a data structure that stores the unique terms; inferring, by the device, a type relationship between a particular term, of the unique terms stored in the data structure, and a particular type classification, of the one or more type classifications, by performing one or more type classification techniques, the one or more type classification techniques including at least one of: a name-based analysis that compares the particular term to a set of name-based type indicators associated with the particular type classification, a context-based analysis that compares a modifier, that modifies the particular term, to a set of context-based type indicators associated with the particular type classification, a synonym-based analysis that compares a synonym, of the particular term, to the set of name-based type indicators associated with the particular type classification, or a value-based analysis that compares a value, that appears within a threshold proximity of the particular term, to a set of value-based type indicators or a set of value-based type patterns associated with the particular type classification; classifying, by the device, the unique terms by assigning the one or more type classifications to the unique terms based on performing the one or more type classification techniques; providing, for display via the interface and by the device, information associated with development of the computer program, the information associated with development of the computer program identifying the type relationship, between the particular term and the particular type classification, based on inferring the type relationship and further based on performing the one or more type classification techniques; receiving, via the interface and by the device, a set of test data rules from a user or from another device; generating, by the device, test data based on the set of test data rules, the test data including the unique terms to be classified, type classifications under which the unique terms are to be classified, and values for the unique terms; applying, by the device, the test data to the computer program, the computer program being designed based on the text that was processed to infer one or more type classifications for the unique terms extracted from the text, and the applying of the test data to the computer program includes input of the test data to the computer program and executing the computer program to: classify the test data to obtain a confidence score associated with the classifying a unique term, of the unique terms, under each of the type classifications determined to be associated with the unique term; and providing, by the device and for display to the user or to another device, the test data, the one or more type classifications generated from the test data, and the confidence score associated with the one or more type classifications. 16. The method of claim 14 , where inferring the type relationship by performing the one or more type classification techniques comprises: performing the context-based analysis; determining, based on performing the context-based analysis, that the modifier includes a first word that matches a second word included in the set of context-based type indicators; and inferring the type relationship based on determining that the modifier includes the first word that matches the second word. | 0.577123 |
9,269,346 | 10 | 12 | 10. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, result in the processor performing operations comprising: storing, in a database, voice data, wherein the voice data is associated with a plurality of voices, wherein the plurality of voices are stored within libraries according to emotions; identifying, using user speech exhibited by a user, a user emotion; identifying, according to the user emotion, a first text-to-speech voice of the plurality of voices which are in the database, wherein the first text-to-speech voice has a first emotional content from a first speaker; identifying, according to the user emotion, a second text-to-speech voice of the plurality of voices which are in the database, wherein the second text-to-speech voice has a second emotional content from a second speaker, and wherein the second emotional content is distinct from the first emotional content; and synthesizing synthesized speech using the first text-to-speech voice and the second text-to-speech voice, wherein the synthesized speech mimics the user emotion. | 10. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, result in the processor performing operations comprising: storing, in a database, voice data, wherein the voice data is associated with a plurality of voices, wherein the plurality of voices are stored within libraries according to emotions; identifying, using user speech exhibited by a user, a user emotion; identifying, according to the user emotion, a first text-to-speech voice of the plurality of voices which are in the database, wherein the first text-to-speech voice has a first emotional content from a first speaker; identifying, according to the user emotion, a second text-to-speech voice of the plurality of voices which are in the database, wherein the second text-to-speech voice has a second emotional content from a second speaker, and wherein the second emotional content is distinct from the first emotional content; and synthesizing synthesized speech using the first text-to-speech voice and the second text-to-speech voice, wherein the synthesized speech mimics the user emotion. 12. The system of claim 10 , wherein the first emotional content is determined according to a speech act associated with the user speech. | 0.809192 |
9,338,121 | 1 | 9 | 1. A method for sending an electronic communication within a message campaign to a plurality of recipients, the method comprising: generating with a server, a user interface, the user interface being configured, based upon a predetermined context assigned to a first user, to allow the first user to select a recipient list based upon one or more attributes of potential recipients within the predetermined context, wherein the predetermined context is selected from a plurality of contexts stored in a database, wherein each context stored in the database comprises a set of attributes made available to one or more users, wherein an attribute of the one or more attributes comprises an online social influence rating, and wherein the first user is restricted from viewing attributes of potential recipients outside the predetermined context; creating a recipient list using the user interface by selecting among the one or more attributes, wherein selecting among the one or more attributes comprises randomly sampling from the potential recipients within the predetermined context that have the online social influence rating; generating electronic messages within a message campaign; sending the electronic messages to recipients on the recipient list; in response to sending the electronic messages to the recipients on the recipient list, generating a new context comprising a new set of attributes, the new set of attributes comprising the attributes of the predetermined context other than the selected one or more attributes; and automatically assigning the new context to the first user, wherein the new context restricts the first user from accessing attributes of potential recipients other than the new set of attributes, wherein the new set of attributes comprises at least one attribute linked to a particular potential recipient, and wherein substantially all attributes of the new set of attributes that are linked to the particular potential recipient maintain the privacy of the particular potential recipient. | 1. A method for sending an electronic communication within a message campaign to a plurality of recipients, the method comprising: generating with a server, a user interface, the user interface being configured, based upon a predetermined context assigned to a first user, to allow the first user to select a recipient list based upon one or more attributes of potential recipients within the predetermined context, wherein the predetermined context is selected from a plurality of contexts stored in a database, wherein each context stored in the database comprises a set of attributes made available to one or more users, wherein an attribute of the one or more attributes comprises an online social influence rating, and wherein the first user is restricted from viewing attributes of potential recipients outside the predetermined context; creating a recipient list using the user interface by selecting among the one or more attributes, wherein selecting among the one or more attributes comprises randomly sampling from the potential recipients within the predetermined context that have the online social influence rating; generating electronic messages within a message campaign; sending the electronic messages to recipients on the recipient list; in response to sending the electronic messages to the recipients on the recipient list, generating a new context comprising a new set of attributes, the new set of attributes comprising the attributes of the predetermined context other than the selected one or more attributes; and automatically assigning the new context to the first user, wherein the new context restricts the first user from accessing attributes of potential recipients other than the new set of attributes, wherein the new set of attributes comprises at least one attribute linked to a particular potential recipient, and wherein substantially all attributes of the new set of attributes that are linked to the particular potential recipient maintain the privacy of the particular potential recipient. 9. The method of claim 1 , wherein the predetermined context is assigned to the user based on the user's permissions. | 0.867347 |
8,126,308 | 1 | 4 | 1. A video signal processing apparatus for processing a video signal, comprising: a metadata notation format identification block for identifying a notation format of metadata written in a predetermined language; a conversion table selection block for selecting a conversion table corresponding to said identified notation format of said metadata from among one or more conversion tables prepared in advance; a metadata notation format conversion block for converting said notation format of said metadata into a notation format compatible with said video signal processing apparatus on the basis of said selected conversion table; and a processing control block for controlling processing associated with said video signal on the basis of said metadata whose notation format has been converted, wherein the conversion table includes predetermined conversion information to convert a tag in the notation format in the predetermined language into a tag in the notation format compatible with the video signal processing apparatus, and wherein when the conversion table has no corresponding definition for the tag in the notation format in the predetermined language, a conversion of the tag in the notation format in the predetermined language generates a converted tag that includes a prefix representing the predetermined language and a name space of the tag. | 1. A video signal processing apparatus for processing a video signal, comprising: a metadata notation format identification block for identifying a notation format of metadata written in a predetermined language; a conversion table selection block for selecting a conversion table corresponding to said identified notation format of said metadata from among one or more conversion tables prepared in advance; a metadata notation format conversion block for converting said notation format of said metadata into a notation format compatible with said video signal processing apparatus on the basis of said selected conversion table; and a processing control block for controlling processing associated with said video signal on the basis of said metadata whose notation format has been converted, wherein the conversion table includes predetermined conversion information to convert a tag in the notation format in the predetermined language into a tag in the notation format compatible with the video signal processing apparatus, and wherein when the conversion table has no corresponding definition for the tag in the notation format in the predetermined language, a conversion of the tag in the notation format in the predetermined language generates a converted tag that includes a prefix representing the predetermined language and a name space of the tag. 4. The video signal processing apparatus according to claim 1 , wherein said video signal processing apparatus is a video signal reproduction apparatus for reproducing said video signal. | 0.541872 |
9,342,665 | 17 | 18 | 17. The method according to claim 10 , wherein the application is a web browser application and the structured document is a web page. | 17. The method according to claim 10 , wherein the application is a web browser application and the structured document is a web page. 18. The method according to claim 17 , wherein the at least one DRC object is defined using JSON format, and the application-specific instructions further comprise instructions provided in JavaScript language that when executed cause the application to incorporate the at least one DRC object into the structured document. | 0.5 |
8,645,369 | 8 | 10 | 8. A computer program product for classifying content resources, the computer program product comprising at least one non-transitory computer-readable medium having computer program instructions stored therein which are configured, when executed by at least one computing device, to: for each one of a plurality of documents, identify a plurality of corresponding queries which resulted in user selection of the one of the plurality of documents from among search results provided in response to the queries; identifying itemsets within the queries, at least some of the itemsets representing recurring patterns in the queries; for each one of the plurality of documents, generate a representation of the corresponding one of the plurality of documents, wherein the representation of the one of the plurality of documents is generated based, at least in part, upon the itemsets identified within the corresponding queries which resulted in user selection of the document from among the search results provided in response to the corresponding queries; and for each one of the plurality of documents, classify the one of the plurality of documents using the corresponding representation; wherein, for each one of the plurality of documents, the representation of the one of the plurality of documents comprises a vector including a plurality of scalar values, each scalar value representing a frequency with which a represented one of the itemsets appears within the corresponding queries. | 8. A computer program product for classifying content resources, the computer program product comprising at least one non-transitory computer-readable medium having computer program instructions stored therein which are configured, when executed by at least one computing device, to: for each one of a plurality of documents, identify a plurality of corresponding queries which resulted in user selection of the one of the plurality of documents from among search results provided in response to the queries; identifying itemsets within the queries, at least some of the itemsets representing recurring patterns in the queries; for each one of the plurality of documents, generate a representation of the corresponding one of the plurality of documents, wherein the representation of the one of the plurality of documents is generated based, at least in part, upon the itemsets identified within the corresponding queries which resulted in user selection of the document from among the search results provided in response to the corresponding queries; and for each one of the plurality of documents, classify the one of the plurality of documents using the corresponding representation; wherein, for each one of the plurality of documents, the representation of the one of the plurality of documents comprises a vector including a plurality of scalar values, each scalar value representing a frequency with which a represented one of the itemsets appears within the corresponding queries. 10. The computer program product of claim 8 wherein the patterns in the associated queries comprise combinations of keywords. | 0.858916 |
9,043,319 | 12 | 13 | 12. The method of claim 11 , wherein identifying real-time search results that are responsive to the re-submitted query includes retrieving relevant real-time search results from a search results cache that caches search results responsive to the query. | 12. The method of claim 11 , wherein identifying real-time search results that are responsive to the re-submitted query includes retrieving relevant real-time search results from a search results cache that caches search results responsive to the query. 13. The method of claim 12 , wherein identifying real-time search results that are more recent than the time indicated by the time token includes comparing the time identified by the first time token to a time associated with each relevant real-time search result. | 0.5 |
8,521,845 | 12 | 18 | 12. A system comprising: a processor; a computer-readable storage medium storing a plurality of instructions that cause the processor to: receive a request to resolve the registered multilingual domain name that is identified by a sequence of numeric values, wherein the request that was received from a Web browser of a user is based on a specified URL that contains the domain name; determine that the primary name server is unable to identify, in a zone data file of the primary name server, an IP address associated with the sequence of numeric values; select a default IP address in response to a failure to identify an associated IP address, the default IP address corresponding to a multilingual domain name server that is able to resolve requests for domain names in multiple languages; determine appropriate response information for the multilingual domain name; and provide an indication of the appropriate response information to the Web browser of the user in response to the request. | 12. A system comprising: a processor; a computer-readable storage medium storing a plurality of instructions that cause the processor to: receive a request to resolve the registered multilingual domain name that is identified by a sequence of numeric values, wherein the request that was received from a Web browser of a user is based on a specified URL that contains the domain name; determine that the primary name server is unable to identify, in a zone data file of the primary name server, an IP address associated with the sequence of numeric values; select a default IP address in response to a failure to identify an associated IP address, the default IP address corresponding to a multilingual domain name server that is able to resolve requests for domain names in multiple languages; determine appropriate response information for the multilingual domain name; and provide an indication of the appropriate response information to the Web browser of the user in response to the request. 18. The system of claim 12 , wherein the default IP address is selected using a wildcard entry at the end of an zone data file. | 0.84125 |
8,327,255 | 27 | 28 | 27. The computer program product of claim 16 , wherein the executable viewer file is further configured to provide the one or more electronic transcript files and the one or more electronic exhibit files substantially simultaneously via a user interface having a transcript pane and an exhibit pane to respectively provide the one or more electronic transcript files and the one or more electronic exhibit files. | 27. The computer program product of claim 16 , wherein the executable viewer file is further configured to provide the one or more electronic transcript files and the one or more electronic exhibit files substantially simultaneously via a user interface having a transcript pane and an exhibit pane to respectively provide the one or more electronic transcript files and the one or more electronic exhibit files. 28. The computer program product of claim 27 , wherein the transcript pane and the exhibit pane associated with the user interface include independent controls to respectively add, view, and remove the one or more electronic transcript files and the one or more electronic exhibit files in the bundle. | 0.5 |
8,396,735 | 17 | 18 | 17. The apparatus of claim 16 , wherein the real-time communication connection includes a telephonic connection established between the advisor and the user according to the visual display advertisement and the telephonic connection is provided by Internet telephony. | 17. The apparatus of claim 16 , wherein the real-time communication connection includes a telephonic connection established between the advisor and the user according to the visual display advertisement and the telephonic connection is provided by Internet telephony. 18. The apparatus of claim 17 , wherein the telephonic connection includes video. | 0.5 |
8,117,549 | 1 | 9 | 1. A method of capturing actions that are performed on at least one medical image of a patient during a medical imaging interpretation, the method being implemented using a computer system, the method comprising: (a) displaying a workflow template on a display of the computer system; (b) displaying the at least one medical image of the patient on said display; (c) automatically extracting data from an electronic medical record of the patient, or other data related to the patient, from a database, into said workflow template provided on said display; (d) capturing and storing one or more user actions as they are performed on the medical image of the patient, by an interpreting user during an entire medical imaging interpretation, using an auditing function of the computer system; (e) automatically generating user action information from the one or more captured actions, to prompt said user to perform certain actions; (f) storing the captured user actions and user action information, along with said data related to the patient, in said database, with the at least one medical image of the patient, as a new workflow sequence onto a new workflow template as a pre-defined protocol; (g) accessing said new workflow template having said pre-defined protocol from said database; (h) displaying to a new user, in said new workflow template, a recreation of the exact pre-defined protocol including said data related to the patient, stored by said previous interpreting user in said database, as a continuous replica of said previous interpreting user's actions and user action information stored in said workflow sequence, such that said new user may selectively review and modify clinically pertinent medical images and said data related to the patient, in a continuous manner that follows said stored workflow template as created by said previous interpreting user; and (i) repeating steps (b)-(f), such that a modified new workflow template is created and stored in said database: wherein each said modified new workflow template is a cumulative, refined, and dynamic workflow sequence of a series of said captured user actions and user action information, along with data related to each patient, with the at least one medical image of said patient, in order to provide best practice of said medical image interpretation for said user. | 1. A method of capturing actions that are performed on at least one medical image of a patient during a medical imaging interpretation, the method being implemented using a computer system, the method comprising: (a) displaying a workflow template on a display of the computer system; (b) displaying the at least one medical image of the patient on said display; (c) automatically extracting data from an electronic medical record of the patient, or other data related to the patient, from a database, into said workflow template provided on said display; (d) capturing and storing one or more user actions as they are performed on the medical image of the patient, by an interpreting user during an entire medical imaging interpretation, using an auditing function of the computer system; (e) automatically generating user action information from the one or more captured actions, to prompt said user to perform certain actions; (f) storing the captured user actions and user action information, along with said data related to the patient, in said database, with the at least one medical image of the patient, as a new workflow sequence onto a new workflow template as a pre-defined protocol; (g) accessing said new workflow template having said pre-defined protocol from said database; (h) displaying to a new user, in said new workflow template, a recreation of the exact pre-defined protocol including said data related to the patient, stored by said previous interpreting user in said database, as a continuous replica of said previous interpreting user's actions and user action information stored in said workflow sequence, such that said new user may selectively review and modify clinically pertinent medical images and said data related to the patient, in a continuous manner that follows said stored workflow template as created by said previous interpreting user; and (i) repeating steps (b)-(f), such that a modified new workflow template is created and stored in said database: wherein each said modified new workflow template is a cumulative, refined, and dynamic workflow sequence of a series of said captured user actions and user action information, along with data related to each patient, with the at least one medical image of said patient, in order to provide best practice of said medical image interpretation for said user. 9. The method according to claim 1 , wherein a predetermined workflow sequence is automatically executed by the computer system when a specific medical image interpretation is initiated by said new interpreting user. | 0.841874 |
8,332,509 | 11 | 12 | 11. A system comprising: a physical network interface; a set of parameterized models, said set of parameterized models describing mechanisms for gathering data from devices, said set of parameterized models comprising: discovery script templates for a plurality of different devices; for each discovery script template, one or more corresponding parameters defining how said discovery script template is to be customized to monitor a specified device of a specified device type based on corresponding on parameter values for said one or more parameters; and for each discovery script template, corresponding parameter metadata defining restrictions on parameter values for said one or more parameters; a user interface engine, said user interface engine configured to create a user interface for capturing parameter values including for a selected discovery script template being configured to: analyze said discovery script template to identify said one or more corresponding parameters; analyze corresponding parameter metadata to determine a typo parameter value restrictions for each of said one or more corresponding parameters; creates a user interface to capture parameter values for said corresponding one or more parameters, said user interface comprising appropriate user interface controls for receiving parameter values for said corresponding one or more parameters in accordance with restrictions defined in said corresponding parameter metadata; presents said user interface; and receives user input including parameter values for said corresponding one or more parameters through said appropriate user interface controls; and a script engine configured to: create a customized discovery script for monitoring said specified device of said specified device type by customizing said selected discovery script template with said parameter values for said corresponding one or more parameters; launch said customized discovery script; and receives results from said customized discovery script, said results comprising configuration data from said specified device of said specified device type. | 11. A system comprising: a physical network interface; a set of parameterized models, said set of parameterized models describing mechanisms for gathering data from devices, said set of parameterized models comprising: discovery script templates for a plurality of different devices; for each discovery script template, one or more corresponding parameters defining how said discovery script template is to be customized to monitor a specified device of a specified device type based on corresponding on parameter values for said one or more parameters; and for each discovery script template, corresponding parameter metadata defining restrictions on parameter values for said one or more parameters; a user interface engine, said user interface engine configured to create a user interface for capturing parameter values including for a selected discovery script template being configured to: analyze said discovery script template to identify said one or more corresponding parameters; analyze corresponding parameter metadata to determine a typo parameter value restrictions for each of said one or more corresponding parameters; creates a user interface to capture parameter values for said corresponding one or more parameters, said user interface comprising appropriate user interface controls for receiving parameter values for said corresponding one or more parameters in accordance with restrictions defined in said corresponding parameter metadata; presents said user interface; and receives user input including parameter values for said corresponding one or more parameters through said appropriate user interface controls; and a script engine configured to: create a customized discovery script for monitoring said specified device of said specified device type by customizing said selected discovery script template with said parameter values for said corresponding one or more parameters; launch said customized discovery script; and receives results from said customized discovery script, said results comprising configuration data from said specified device of said specified device type. 12. The system of claim 11 further comprising: a data validator engine that: validates said results to create validated output. | 0.5 |
5,563,937 | 8 | 12 | 8. A system for creating a multi-channel data call between a caller and an agent position at a destination number selected by a network subscriber, based on voice and data transport capability, wherein the destination number is one of a plurality of destination numbers selected by the subscriber identified by a common telephone number and each of the agent positions has an associated plurality of channels to which data calls may be connected, the system comprising: means for associating with a first phone call a plurality of discriminators common to both voice and data calls and an additional data rate discriminator for a data call corresponding to the data rate used by the caller, means for accessing a database in response to receiving the common telephone number from the caller for obtaining a destination number selected by the network subscriber for a data call, wherein the destination number selected by the network subscriber is based on the common discriminator and the data rate used by the caller, means for completing the first phone call by hunting the phone call to the agent position and for connecting the first phone call to one channel of the plurality of channels of the agent position, means for passing a discrete telephone number associated with the agent position to the caller over the one channel and for connecting a second phone call from the caller to another of the plurality of channels of the agent position. | 8. A system for creating a multi-channel data call between a caller and an agent position at a destination number selected by a network subscriber, based on voice and data transport capability, wherein the destination number is one of a plurality of destination numbers selected by the subscriber identified by a common telephone number and each of the agent positions has an associated plurality of channels to which data calls may be connected, the system comprising: means for associating with a first phone call a plurality of discriminators common to both voice and data calls and an additional data rate discriminator for a data call corresponding to the data rate used by the caller, means for accessing a database in response to receiving the common telephone number from the caller for obtaining a destination number selected by the network subscriber for a data call, wherein the destination number selected by the network subscriber is based on the common discriminator and the data rate used by the caller, means for completing the first phone call by hunting the phone call to the agent position and for connecting the first phone call to one channel of the plurality of channels of the agent position, means for passing a discrete telephone number associated with the agent position to the caller over the one channel and for connecting a second phone call from the caller to another of the plurality of channels of the agent position. 12. The system of claim 8 wherein the means for passing the discrete telephone number associated with the agent position to the caller over the one channel is behind a CTX. | 0.669231 |
9,442,924 | 12 | 15 | 12. The system of claim 11 , wherein the text string includes a further token; and the one or more processors are further configured to: substitute the further token in the text string with a further word, the substitution being performed in accordance with a language structure of a target language, thereby providing a second text string; and prior to receiving the translation of the identified text string, send the second text string to the separate server for translation of the second text string into the target language. | 12. The system of claim 11 , wherein the text string includes a further token; and the one or more processors are further configured to: substitute the further token in the text string with a further word, the substitution being performed in accordance with a language structure of a target language, thereby providing a second text string; and prior to receiving the translation of the identified text string, send the second text string to the separate server for translation of the second text string into the target language. 15. The system of claim 12 , wherein the one or more processors are further configured to determine that all words in the translation of the second text string are in the target language. | 0.658759 |
5,438,180 | 28 | 31 | 28. A method for controlling a cooking oven having means defining an oven cavity and heating means for heating said oven cavity to defined heating temperatures, including the steps of: receiving a user heating function selection from among a plurality of heating functions and up to two timing functions selected from among a plurality of timing functions independently of the timing function selected, whereby a user may select substantially any combination of timing functions with any selected heating function; establishing a time and temperature heating profile of said oven cavity from the selected heating and timing functions; and controlling said heating means according to said heating profile. | 28. A method for controlling a cooking oven having means defining an oven cavity and heating means for heating said oven cavity to defined heating temperatures, including the steps of: receiving a user heating function selection from among a plurality of heating functions and up to two timing functions selected from among a plurality of timing functions independently of the timing function selected, whereby a user may select substantially any combination of timing functions with any selected heating function; establishing a time and temperature heating profile of said oven cavity from the selected heating and timing functions; and controlling said heating means according to said heating profile. 31. The method in claim 28 including prompting a user to enter values of particular timing parameters for particular ones of said plurality of timing functions and receiving user entry of values of said particular timing parameters. | 0.512605 |
7,818,164 | 2 | 11 | 2. A method, implemented in a computing system, comprising: assessing a user's comprehension of a plurality of target foreign language words corresponding to a plurality of base language words; producing, in response to the assessing, a mixed language text based on a base language text, the mixed language text including a foreign language word from the plurality of the target foreign language words substituted for a portion of the instances of a corresponding base language word from the plurality of base language words occurring in the base language text, the producing performed in processor; and presenting the mixed language text to the user. | 2. A method, implemented in a computing system, comprising: assessing a user's comprehension of a plurality of target foreign language words corresponding to a plurality of base language words; producing, in response to the assessing, a mixed language text based on a base language text, the mixed language text including a foreign language word from the plurality of the target foreign language words substituted for a portion of the instances of a corresponding base language word from the plurality of base language words occurring in the base language text, the producing performed in processor; and presenting the mixed language text to the user. 11. The method of claim 2 , wherein the assessing includes: measuring a speed at which the user listens to an audio version of a passage of text; and updating, based at least in part on the speed measurement, a datum associated with the user's proficiency with the target foreign language. | 0.87167 |
9,251,275 | 9 | 11 | 9. A computer system for data clustering and user modeling for next-best-action decisions, the system comprising: at least one processing unit; memory operably associated with the at least one processing unit; and a modeling tool storable in memory and executable by the at least one processing unit, the modeling tool comprising: an analyzing component configured to: receive unstructured social data from a plurality of users, the unstructured social data comprising one or more indicators including a set of words located in the unstructured social data that indicate at least one of: sentiment, personality, and emotional state; analyze the unstructured social data of each user of the plurality of users to assign a numerical value to each of a plurality of feature vectors to associated with each of the plurality of users based on the set of words of the one or more indicators located in the unstructured social data generated by the user, each of the set of feature vectors corresponding to one or more personality characteristics that include a learning style, a propensity to purchase, a socioeconomic class, and a personality trait of each of the plurality of users; and analyze the set of feature vectors to identify two or more users from the plurality of users sharing a set of similar feature vectors; a clustering component configured to: group the two or more users from the plurality of users sharing the set of similar feature vectors to form a cluster; and identify attributes of the cluster based on the feature vectors of the users grouped in the cluster; and an offering component configured to input the attributes of the cluster into a predictive model to automatically determine a commercial offer that corresponds to the cluster. | 9. A computer system for data clustering and user modeling for next-best-action decisions, the system comprising: at least one processing unit; memory operably associated with the at least one processing unit; and a modeling tool storable in memory and executable by the at least one processing unit, the modeling tool comprising: an analyzing component configured to: receive unstructured social data from a plurality of users, the unstructured social data comprising one or more indicators including a set of words located in the unstructured social data that indicate at least one of: sentiment, personality, and emotional state; analyze the unstructured social data of each user of the plurality of users to assign a numerical value to each of a plurality of feature vectors to associated with each of the plurality of users based on the set of words of the one or more indicators located in the unstructured social data generated by the user, each of the set of feature vectors corresponding to one or more personality characteristics that include a learning style, a propensity to purchase, a socioeconomic class, and a personality trait of each of the plurality of users; and analyze the set of feature vectors to identify two or more users from the plurality of users sharing a set of similar feature vectors; a clustering component configured to: group the two or more users from the plurality of users sharing the set of similar feature vectors to form a cluster; and identify attributes of the cluster based on the feature vectors of the users grouped in the cluster; and an offering component configured to input the attributes of the cluster into a predictive model to automatically determine a commercial offer that corresponds to the cluster. 11. The computer system according to claim 9 , the analyzing component further configured to receive structured data of the plurality of users, wherein the structured data comprises a history of past transactions. | 0.840807 |
7,568,171 | 25 | 27 | 25. A computer program product for posing a computer-animated three-dimensional model in a three-dimensional scene space, the model including a plurality of elements, the computer program product comprising a computer-readable medium containing computer program code for performing operations comprising: receiving a stroke drawn in a two-dimensional screen space by a user, the stroke having a starting point, an ending point, and a direction; associating the stroke with an element of the model, wherein the element has an axis of finite length that defines a position of the element in scene space; defining a first projection line in scene space which extends from a camera position and passes through the starting point of the stroke; defining a second projection line in scene space which extends from the camera position and passes through the ending point of the stroke; moving the element in the scene space based on the stroke, wherein the amount of the movement of the element in the scene space is determined by a three dimensional transformation which positions the element axis as intersecting both the first projection line and the second projection line, and the direction of the movement of the element in the scene space is determined based on the direction of the stroke; and displaying the moved element in a three-dimensional scene space. | 25. A computer program product for posing a computer-animated three-dimensional model in a three-dimensional scene space, the model including a plurality of elements, the computer program product comprising a computer-readable medium containing computer program code for performing operations comprising: receiving a stroke drawn in a two-dimensional screen space by a user, the stroke having a starting point, an ending point, and a direction; associating the stroke with an element of the model, wherein the element has an axis of finite length that defines a position of the element in scene space; defining a first projection line in scene space which extends from a camera position and passes through the starting point of the stroke; defining a second projection line in scene space which extends from the camera position and passes through the ending point of the stroke; moving the element in the scene space based on the stroke, wherein the amount of the movement of the element in the scene space is determined by a three dimensional transformation which positions the element axis as intersecting both the first projection line and the second projection line, and the direction of the movement of the element in the scene space is determined based on the direction of the stroke; and displaying the moved element in a three-dimensional scene space. 27. The computer program product of claim 25 , wherein moving the element in the scene space is further based on whether the stroke intersects itself. | 0.834437 |
8,337,209 | 20 | 21 | 20. The method of claim 19 , further comprising synchronizing the individual with a team, wherein the team includes the individual and more than one other individual, and wherein each individual of the team synchronizes with every other individual of the team. | 20. The method of claim 19 , further comprising synchronizing the individual with a team, wherein the team includes the individual and more than one other individual, and wherein each individual of the team synchronizes with every other individual of the team. 21. The method of claim 20 , wherein each individual of the team synchronizing with every other individual of the team includes generating agreements between the individuals. | 0.5 |
9,146,966 | 2 | 5 | 2. The method of claim 1 , comprising assigning a score to the query term proximity rule based on the click count, a skip count, and a fake skip count. | 2. The method of claim 1 , comprising assigning a score to the query term proximity rule based on the click count, a skip count, and a fake skip count. 5. The method of claim 2 , associating a first weight with the click count, a second weight with the skip count, and a third weight associated with the fake skip count. | 0.764706 |
6,044,387 | 3 | 6 | 3. The method of claim 1, further comprising the step of creating a list of files from the plurality of files, said list indicating the files for which the editing operation is applicable. | 3. The method of claim 1, further comprising the step of creating a list of files from the plurality of files, said list indicating the files for which the editing operation is applicable. 6. The method of claim 3, further comprising the step of enabling the user to review the list and after effecting the editing operation of a file indicated in the list, selectively effecting the editing operation of a successive file indicated in the list. | 0.5 |
7,739,658 | 1 | 27 | 1. Apparatus for responding to a request message sent from a remote user device for web page information by generating web page code capable of being interpreted by a browser within the remote user device for displaying one or more web pages and for outputting a response message comprising the web page code, the apparatus comprising: extracting means for extracting from the request message information determining a device type identifier identifying the remote user device which sent the request message as being one of a set of possible remote user device types having different capabilities of processing and displaying web page code; a processor for operating a code generating engine to generate the web page code; first memory means for storing the web page information as a content document comprising a set of instructions authored in a script language for generating the web page code; and second memory means for storing device dependent information for each of the set of possible remote user device types; wherein the code generating engine comprises interpreting means for interpreting the instructions authored in the script language with reference to selected device dependent information corresponding to the device type identifier of the remote user device which sent the request message, the code generating engine thereby being operable to generate the web page code in a form in which the web page code is tailored to the capabilities of the remote user device for processing and displaying web page code; wherein the content document comprises at least one component name identifying a respective data component, and wherein the apparatus comprises a data structure in which at least one data component exists as a set of data objects defining multiple versions of the data component where the data objects have different data properties suited to the different capabilities of processing and displaying web page code of the different remote user devices; and means for selecting a data object from the set of data objects identified by a component name for inclusion in the web page code on the basis of the device type identifier of the remote user device which sent the request message; wherein the selecting means is operable to look up a predetermined selection of data object using a component policy table in a case where selection of the version of data component for the remote user device is predetermined by an author of the content document, and wherein the selecting means is further operable to determine technical attributes of the remote user device and to select the data object by comparing the technical attributes with data properties of each data object in a case where no version of the data component for the remote user device has been predetermined by the author of the content document, wherein the technical attributes of the remote user device are defined in a device policy table. | 1. Apparatus for responding to a request message sent from a remote user device for web page information by generating web page code capable of being interpreted by a browser within the remote user device for displaying one or more web pages and for outputting a response message comprising the web page code, the apparatus comprising: extracting means for extracting from the request message information determining a device type identifier identifying the remote user device which sent the request message as being one of a set of possible remote user device types having different capabilities of processing and displaying web page code; a processor for operating a code generating engine to generate the web page code; first memory means for storing the web page information as a content document comprising a set of instructions authored in a script language for generating the web page code; and second memory means for storing device dependent information for each of the set of possible remote user device types; wherein the code generating engine comprises interpreting means for interpreting the instructions authored in the script language with reference to selected device dependent information corresponding to the device type identifier of the remote user device which sent the request message, the code generating engine thereby being operable to generate the web page code in a form in which the web page code is tailored to the capabilities of the remote user device for processing and displaying web page code; wherein the content document comprises at least one component name identifying a respective data component, and wherein the apparatus comprises a data structure in which at least one data component exists as a set of data objects defining multiple versions of the data component where the data objects have different data properties suited to the different capabilities of processing and displaying web page code of the different remote user devices; and means for selecting a data object from the set of data objects identified by a component name for inclusion in the web page code on the basis of the device type identifier of the remote user device which sent the request message; wherein the selecting means is operable to look up a predetermined selection of data object using a component policy table in a case where selection of the version of data component for the remote user device is predetermined by an author of the content document, and wherein the selecting means is further operable to determine technical attributes of the remote user device and to select the data object by comparing the technical attributes with data properties of each data object in a case where no version of the data component for the remote user device has been predetermined by the author of the content document, wherein the technical attributes of the remote user device are defined in a device policy table. 27. Apparatus as claimed in claim 1 , wherein the data objects are stored in a data structure in which metadata is stored in association with each data object and wherein the data properties of each data object are defined by respective metadata. | 0.784588 |
8,952,763 | 9 | 15 | 9. A frequency modulator comprising: a digitally-controlled oscillator (DCO), arranged for producing a frequency deviation in response to an integer tuning word and a fractional tuning word; and a DCO interface circuit, arranged for generating said integer tuning word and said fractional tuning word to said DCO, wherein said fractional tuning word is obtained through asynchronous sampling of a fixed-point tuning word; wherein samples of said fractional tuning word are synchronous to a resonant frequency of said DCO. | 9. A frequency modulator comprising: a digitally-controlled oscillator (DCO), arranged for producing a frequency deviation in response to an integer tuning word and a fractional tuning word; and a DCO interface circuit, arranged for generating said integer tuning word and said fractional tuning word to said DCO, wherein said fractional tuning word is obtained through asynchronous sampling of a fixed-point tuning word; wherein samples of said fractional tuning word are synchronous to a resonant frequency of said DCO. 15. The frequency modulator of claim 9 , wherein said DCO produces said frequency deviation in response to a modulation tuning word and a phase-locked loop (PLL) tuning word, and said PLL tuning word is composed of said integer tuning word and said fractional tuning word. | 0.512545 |
8,639,509 | 19 | 22 | 19. The method of claim 5 , wherein the at least one feature includes at least one of a set of features, including: a parse-tree-word-level confidence score calculated based on respective word-level confidence scores of a plurality of words of the respective sub-tree and/or its surrounding sub-trees; a POS-tag confidence score based on respective POS-tag scores computed for the POS tag assignments of the plurality of words of the respective sub-tree and/or its surrounding sub-trees; a linking score representing a conditional probability of a link of a highest level of the respective sub-tree, the link including a dependency relation and a directionality; a linking score representing a conditional probability of a link of a highest level of the surrounding sub-trees, the link including a dependency relation and a directionality; a history score which includes, for each of at least one child sub-tree of the surrounding sub-trees, the surrounding child sub-trees' previously computed confidence score; each of a plurality of words of the respective sub-tree's corresponding section of the interpreted text; each of a plurality of words of the surrounding sub-trees' corresponding section of the interpreted text; each of the plurality of POS tags corresponding to the plurality of words of the respective sub-tree's corresponding section of the interpreted text; each of the plurality of POS tags corresponding to the plurality of words of the surrounding sub-trees' corresponding section of the interpreted text; each of a plurality of multi-level hierarchical POS tags corresponding to the plurality of words of the respective sub-tree's corresponding section of the interpreted text; each of a plurality of multi-level hierarchical POS tags corresponding to the plurality of words of the surrounding sub-trees' corresponding section of the interpreted text; a dependency relation characteristic; a single level joint head and dependency relation (SL-JHD) characteristic; a single level joint mod and dependency relation (SL-JMD) characteristic; a single level joint head, mod, and dependency relation (SL-JHMD) characteristic; a joint dependency relation (JDR) characteristic; a multi-level joint head and dependency relation (ML-JHD) characteristic; a multi-level joint mod and dependency relation (ML-JMD) characteristic; a multi-level joint head, mod, and dependency relation (ML-JHMD) characteristic; a head, dependency, and left and right neighbors (HDLRN) characteristic; a sub-tree size characteristic; and a semantic slot feature. | 19. The method of claim 5 , wherein the at least one feature includes at least one of a set of features, including: a parse-tree-word-level confidence score calculated based on respective word-level confidence scores of a plurality of words of the respective sub-tree and/or its surrounding sub-trees; a POS-tag confidence score based on respective POS-tag scores computed for the POS tag assignments of the plurality of words of the respective sub-tree and/or its surrounding sub-trees; a linking score representing a conditional probability of a link of a highest level of the respective sub-tree, the link including a dependency relation and a directionality; a linking score representing a conditional probability of a link of a highest level of the surrounding sub-trees, the link including a dependency relation and a directionality; a history score which includes, for each of at least one child sub-tree of the surrounding sub-trees, the surrounding child sub-trees' previously computed confidence score; each of a plurality of words of the respective sub-tree's corresponding section of the interpreted text; each of a plurality of words of the surrounding sub-trees' corresponding section of the interpreted text; each of the plurality of POS tags corresponding to the plurality of words of the respective sub-tree's corresponding section of the interpreted text; each of the plurality of POS tags corresponding to the plurality of words of the surrounding sub-trees' corresponding section of the interpreted text; each of a plurality of multi-level hierarchical POS tags corresponding to the plurality of words of the respective sub-tree's corresponding section of the interpreted text; each of a plurality of multi-level hierarchical POS tags corresponding to the plurality of words of the surrounding sub-trees' corresponding section of the interpreted text; a dependency relation characteristic; a single level joint head and dependency relation (SL-JHD) characteristic; a single level joint mod and dependency relation (SL-JMD) characteristic; a single level joint head, mod, and dependency relation (SL-JHMD) characteristic; a joint dependency relation (JDR) characteristic; a multi-level joint head and dependency relation (ML-JHD) characteristic; a multi-level joint mod and dependency relation (ML-JMD) characteristic; a multi-level joint head, mod, and dependency relation (ML-JHMD) characteristic; a head, dependency, and left and right neighbors (HDLRN) characteristic; a sub-tree size characteristic; and a semantic slot feature. 22. The method of claim 19 , wherein the at least one feature includes nine SL-JHD features, including three for each of the highest level of the surrounding sub-trees and left and right child sub-trees corresponding to a level immediately below the highest level of the surrounding sub-trees. | 0.755833 |
7,584,188 | 1 | 2 | 1. A computerized method of searching and matching input data to stored data storing in the memory, the method comprising: receiving the input data comprising a search string having a plurality of elements, at least some of the elements forming part of an ideogrammatic writing system; converting a subset of the plurality of elements to a set of terms using at least one method selected from the group consisting of polylogogrammatic semantic disambiguation, hanzee acronym expansion, kanji acronym expansion, and business word recognition; wherein the converting step comprises normalizing traditional and simple versions of the ideogrammatic writing system; generating a plurality of keys from the set of terms; determining from the stored data (a) optimization of said plurality of keys, thus yielding optimized keys, and (b) candidates that share a commonality with said optimized keys, thus yielding key intersections and a quantity for said key intersections; generating a cost function for said key intersections; prioritizing said key intersections according to said cost function, thus yielding cost-prioritized key intersections; retrieving match candidates in order of said cost-prioritized key intersections, and bounded by a pre-determined threshold and said quantity; wherein the retrieving step further comprises generating a matchgrade, a confidence code, and a match data profile for each match candidate based on a degree of match; and selecting a best match from the match candidates. | 1. A computerized method of searching and matching input data to stored data storing in the memory, the method comprising: receiving the input data comprising a search string having a plurality of elements, at least some of the elements forming part of an ideogrammatic writing system; converting a subset of the plurality of elements to a set of terms using at least one method selected from the group consisting of polylogogrammatic semantic disambiguation, hanzee acronym expansion, kanji acronym expansion, and business word recognition; wherein the converting step comprises normalizing traditional and simple versions of the ideogrammatic writing system; generating a plurality of keys from the set of terms; determining from the stored data (a) optimization of said plurality of keys, thus yielding optimized keys, and (b) candidates that share a commonality with said optimized keys, thus yielding key intersections and a quantity for said key intersections; generating a cost function for said key intersections; prioritizing said key intersections according to said cost function, thus yielding cost-prioritized key intersections; retrieving match candidates in order of said cost-prioritized key intersections, and bounded by a pre-determined threshold and said quantity; wherein the retrieving step further comprises generating a matchgrade, a confidence code, and a match data profile for each match candidate based on a degree of match; and selecting a best match from the match candidates. 2. The method of claim 1 , wherein the determining step uses at least one method selected from the group consisting of sticky hanzee shingling, sticky kanji shingling, dumb hanzee shingling, dumb kanji shingling, and text indexing across a plurality of writing systems. | 0.71322 |
7,949,648 | 21 | 25 | 21. A subject specific search engine system operable to compile and permit accessing of subject-specific information, associated with a predefined particular subject, from a computer network, the subject specific search engine system comprising: a memory, connected to a host computer, for storing subject specific relevant objects; the host computer executing software stored upon a computer-readable storage medium, the software comprising: a subject specific smart crawler of said search engine traversing links between websites comprising one or more objects on the computer network, the objects respectively comprising at least one of one or more web pages comprising the websites; and one or components comprising any one or more of said web pages, the objects comprising at least one of: words, terms or expressions; said subject specific smart crawler performing filtering, of subject specific content of each said object visited to determine a relevance of said subject specific content thereof to said predefined particular subject, wherein said filtering comprises: (a) decomposing said objects into one or more said components; (b) receiving a lexicon, said lexicon comprising subject specific terminology deemed relevant to the predefined particular subject, the subject specific terminology comprising respective words, terms or expressions; (c) comparing said decomposed components of said objects to said subject specific terminology of the lexicon to determine whether each said object is a subject specific relevant object, wherein said comparing comprises: (i) assigning a weight to each of said words, terms or expressions comprising the subject specific terminology of the lexicon; (ii) if a said word, term or expression comprising the object matches a corresponding said word, term or expression comprising the subject specific terminology of the lexicon, adding a corresponding weight thereof to a cumulative total; and (iii) determining any of said objects to be subject specific relevant objects if the cumulative total surpasses a predefined threshold value; (d) based upon said comparing, determining all objects deemed to be subject specific relevant as objects to be saved; an indexer of said search engine indexing the plurality of said objects determined to be subject specific relevant to said particular subject based upon said filtering; and an assigner of said search engine for assigning a word score to each word appearing on each subject specific relevant object: wherein said assigning a word score comprises: determining all relevant websites found in memory that contain links to the website: for each word on the websites, assigning a word score for that word based at least in part on its presence on each website containing a link to the website and increasing the word score for each website containing a link to the website when the word appears in close proximity to the link. | 21. A subject specific search engine system operable to compile and permit accessing of subject-specific information, associated with a predefined particular subject, from a computer network, the subject specific search engine system comprising: a memory, connected to a host computer, for storing subject specific relevant objects; the host computer executing software stored upon a computer-readable storage medium, the software comprising: a subject specific smart crawler of said search engine traversing links between websites comprising one or more objects on the computer network, the objects respectively comprising at least one of one or more web pages comprising the websites; and one or components comprising any one or more of said web pages, the objects comprising at least one of: words, terms or expressions; said subject specific smart crawler performing filtering, of subject specific content of each said object visited to determine a relevance of said subject specific content thereof to said predefined particular subject, wherein said filtering comprises: (a) decomposing said objects into one or more said components; (b) receiving a lexicon, said lexicon comprising subject specific terminology deemed relevant to the predefined particular subject, the subject specific terminology comprising respective words, terms or expressions; (c) comparing said decomposed components of said objects to said subject specific terminology of the lexicon to determine whether each said object is a subject specific relevant object, wherein said comparing comprises: (i) assigning a weight to each of said words, terms or expressions comprising the subject specific terminology of the lexicon; (ii) if a said word, term or expression comprising the object matches a corresponding said word, term or expression comprising the subject specific terminology of the lexicon, adding a corresponding weight thereof to a cumulative total; and (iii) determining any of said objects to be subject specific relevant objects if the cumulative total surpasses a predefined threshold value; (d) based upon said comparing, determining all objects deemed to be subject specific relevant as objects to be saved; an indexer of said search engine indexing the plurality of said objects determined to be subject specific relevant to said particular subject based upon said filtering; and an assigner of said search engine for assigning a word score to each word appearing on each subject specific relevant object: wherein said assigning a word score comprises: determining all relevant websites found in memory that contain links to the website: for each word on the websites, assigning a word score for that word based at least in part on its presence on each website containing a link to the website and increasing the word score for each website containing a link to the website when the word appears in close proximity to the link. 25. The system according to claim 21 , wherein the system further comprises a human-computer interface, and comprises: a device for presenting said subject specific relevant objects received from the smart crawler to a human editor via the human-computer interface; and a device for receiving input from the human editor, entered via the human-computer interface, regarding whether to index and store said subject specific relevant objects in the memory. | 0.5 |
8,622,285 | 7 | 10 | 7. A system, comprising: a reader in a mobile device operable to read an indicia affixed to an object in a store in order to obtain information associated with that object; the mobile device configured to derive an identity of a user of the mobile device and permissions associated with the user; and an application operable on the mobile device to obtain a plurality of available tasks for that user to perform based on the information associated with the object, and the identity and permissions of the user and display the plurality of available tasks to perform for selection by the user on the mobile device of one of the plurality of available tasks to perform. | 7. A system, comprising: a reader in a mobile device operable to read an indicia affixed to an object in a store in order to obtain information associated with that object; the mobile device configured to derive an identity of a user of the mobile device and permissions associated with the user; and an application operable on the mobile device to obtain a plurality of available tasks for that user to perform based on the information associated with the object, and the identity and permissions of the user and display the plurality of available tasks to perform for selection by the user on the mobile device of one of the plurality of available tasks to perform. 10. The system of claim 7 , wherein the display of tasks is formatted according to the day, time, and type of user. | 0.742152 |
8,112,425 | 25 | 32 | 25. An apparatus for a time series search engine for time searching data, comprising: a memory for storing data and instructions; a processor for executing instructions that perform actions, including: receiving time series data streams from an information processing environment that includes a plurality of servers; organizing the time series data stream for subsequent searching by performing actions, including: determining at least one domain that corresponds to data in the time series data streams, wherein data in the time series data streams is aggregated based on at least the one determined domain; time stamping the time series data streams to create at least one time stamped event that includes at least a portion of aggregated data from the time series data streams, wherein the time stamped event represents a statistic and a pattern of behavior; employing at least one feature of the included aggregated data to determine at least one boundary for each time stamped event; segmenting each time stamped event into a plurality of segments, wherein a segment is a substring of event text; time indexing the time stamped events to create time bucketed indices based on the time stamps and segments; and receiving a time series search request; and executing the time series search request at least in part by searching the time bucketed indices. | 25. An apparatus for a time series search engine for time searching data, comprising: a memory for storing data and instructions; a processor for executing instructions that perform actions, including: receiving time series data streams from an information processing environment that includes a plurality of servers; organizing the time series data stream for subsequent searching by performing actions, including: determining at least one domain that corresponds to data in the time series data streams, wherein data in the time series data streams is aggregated based on at least the one determined domain; time stamping the time series data streams to create at least one time stamped event that includes at least a portion of aggregated data from the time series data streams, wherein the time stamped event represents a statistic and a pattern of behavior; employing at least one feature of the included aggregated data to determine at least one boundary for each time stamped event; segmenting each time stamped event into a plurality of segments, wherein a segment is a substring of event text; time indexing the time stamped events to create time bucketed indices based on the time stamps and segments; and receiving a time series search request; and executing the time series search request at least in part by searching the time bucketed indices. 32. The time series search engine of claim 25 wherein the time series data streams comprise server logs. | 0.823129 |
5,450,538 | 1 | 4 | 1. In a data processing system, the data processing system having a data processing unit, a video display terminal, a keyboard, a cursor control device for providing control inputs to said system and a data storage resource, a combination comprising: a database control system operating on said data processing system to generate an interactive database for the storage of text data; a graphical user interface system providing a document blank form display representation (document representation) on said video display terminal including at least one data field for text entry into said database and display for creating a filled-in form; means for generating a pointer in said document representation; grabpoint means for associating a predetermined location on said document representation with a blank data field in said document representation, said data field being adapted for on-line text entry into said database; means for positioning said pointer at said predetermined location in said document representation in response to a positioning control input from said cursor control device; and re-sizing means responsive to said pointer positioned at said predetermined location and to a re-sizing control input from said cursor control device for dynamically changing the size of said data field during text entry to accommodate additional text entry into said database. | 1. In a data processing system, the data processing system having a data processing unit, a video display terminal, a keyboard, a cursor control device for providing control inputs to said system and a data storage resource, a combination comprising: a database control system operating on said data processing system to generate an interactive database for the storage of text data; a graphical user interface system providing a document blank form display representation (document representation) on said video display terminal including at least one data field for text entry into said database and display for creating a filled-in form; means for generating a pointer in said document representation; grabpoint means for associating a predetermined location on said document representation with a blank data field in said document representation, said data field being adapted for on-line text entry into said database; means for positioning said pointer at said predetermined location in said document representation in response to a positioning control input from said cursor control device; and re-sizing means responsive to said pointer positioned at said predetermined location and to a re-sizing control input from said cursor control device for dynamically changing the size of said data field during text entry to accommodate additional text entry into said database. 4. The combination of claim 1, further including means responsive to changing the size of said data field for storing a text string located in said data field during said changing. | 0.745763 |
8,200,663 | 1 | 11 | 1. A method of rating review items associated with a reference item, comprising: initiating a voting session; selecting one or more voters; presenting one or more reference items to a voter; presenting one or more review items to the voter when determining that an unranked review item is associated with the one or more reference items; obtaining voter preferences regarding relevance of the review items to the reference items; tabulating voter preferences; closing the voting session; and rating the review items for the reference item based on the voter preferences. | 1. A method of rating review items associated with a reference item, comprising: initiating a voting session; selecting one or more voters; presenting one or more reference items to a voter; presenting one or more review items to the voter when determining that an unranked review item is associated with the one or more reference items; obtaining voter preferences regarding relevance of the review items to the reference items; tabulating voter preferences; closing the voting session; and rating the review items for the reference item based on the voter preferences. 11. The method of claim 1 , wherein a reference item includes one or more of an answer, a web page, an advertisement, a search resource, a category, a keyword, a search request, a query, and a profile. | 0.5 |
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