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7,505,958 | 2 | 3 | 2. A method of managing metadata describing objects of a data abstraction model with logical fields that define abstract views of physical data in a database, comprising: traversing a logical tree structure representing the data abstraction model, the logical tree structure having a plurality of nodes; determining a node type for each node of the plurality of nodes, wherein the node type specifies whether the node is a logical field and a category, wherein each node representing a category of logical fields is a parent node and is defined by a category specification of the data abstraction model; identifying metadata contained in the category specification; identifying metadata from the data abstraction model describing the plurality of nodes; storing, for each node of the plurality of nodes, the node type and the identified metadata in a queryable database resident on a storage medium; and processing a query issued against the queryable database to identify objects in the data abstraction model available to be used to construct an abstract query; wherein storing, for each node of the plurality of nodes, the node type and the identified metadata in a queryable database comprises: creating a first database table configured to allow unique identification of each node contained in the logical tree structure; creating a second database table configured to provide detail information for each node identified in the first database table and being associated with a logical field of the data abstraction model; and creating a third database table configured to provide detail information for each node identified in the first database table and being associated with a category specification. | 2. A method of managing metadata describing objects of a data abstraction model with logical fields that define abstract views of physical data in a database, comprising: traversing a logical tree structure representing the data abstraction model, the logical tree structure having a plurality of nodes; determining a node type for each node of the plurality of nodes, wherein the node type specifies whether the node is a logical field and a category, wherein each node representing a category of logical fields is a parent node and is defined by a category specification of the data abstraction model; identifying metadata contained in the category specification; identifying metadata from the data abstraction model describing the plurality of nodes; storing, for each node of the plurality of nodes, the node type and the identified metadata in a queryable database resident on a storage medium; and processing a query issued against the queryable database to identify objects in the data abstraction model available to be used to construct an abstract query; wherein storing, for each node of the plurality of nodes, the node type and the identified metadata in a queryable database comprises: creating a first database table configured to allow unique identification of each node contained in the logical tree structure; creating a second database table configured to provide detail information for each node identified in the first database table and being associated with a logical field of the data abstraction model; and creating a third database table configured to provide detail information for each node identified in the first database table and being associated with a category specification. 3. The method of claim 2 , wherein creating the first database table comprises: creating a row for each node contained in the logical tree structure, each row containing a field entry for at least: (i) the node type of the respective; (ii) an identifier of the respective node; and (iii) left and right indicators used to delineate nested set hierarchy notation between nodes corresponding to different rows in the first database table. | 0.525054 |
7,768,536 | 1 | 7 | 1. A method of displaying pages of information on an electronic screen, the method comprising: receiving a first page of information including first text; rendering the first page of information including the first text on the electronic screen at a first zoom setting; after rendering the first page of information at the first zoom setting, accepting zoom input from a user through a user interface; rendering the first page of information including the first text on the electronic screen at a second zoom setting different than the first zoom setting responsive to the zoom input; saving in electronic memory a target text size representing a size of the first text on the electronic screen at the second zoom setting; receiving a second page of information including second text different than the first text; determining a third zoom setting responsive to the target text size and responsive to the second text; and rendering the second page of information including the second text on the electronic screen at a third zoom setting; wherein determining the third zoom setting comprises determining the third zoom setting responsive to the target text size and responsive to the second text to normalize a size of the second text rendered on the electronic screen at the third zoom setting relative to a size of the first text rendered on the electronic screen at the second zoom setting. | 1. A method of displaying pages of information on an electronic screen, the method comprising: receiving a first page of information including first text; rendering the first page of information including the first text on the electronic screen at a first zoom setting; after rendering the first page of information at the first zoom setting, accepting zoom input from a user through a user interface; rendering the first page of information including the first text on the electronic screen at a second zoom setting different than the first zoom setting responsive to the zoom input; saving in electronic memory a target text size representing a size of the first text on the electronic screen at the second zoom setting; receiving a second page of information including second text different than the first text; determining a third zoom setting responsive to the target text size and responsive to the second text; and rendering the second page of information including the second text on the electronic screen at a third zoom setting; wherein determining the third zoom setting comprises determining the third zoom setting responsive to the target text size and responsive to the second text to normalize a size of the second text rendered on the electronic screen at the third zoom setting relative to a size of the first text rendered on the electronic screen at the second zoom setting. 7. A method according to claim 1 wherein the first text includes text elements having a plurality of different sizes, and wherein the target text size represents an intermediate one of the plurality of different sizes of the text elements of the first text rendered on the electronic screen at the second zoom setting. | 0.774788 |
8,712,956 | 33 | 39 | 33. A method comprising: receiving a user selection of a report; displaying the user selected report in a view in a graphical user interface; receiving, by a computer, a user selection of a part of the report displayed in the view in the graphical user interface, the user selected report part associated with queries of a semantic layer, the report including a report part other than the user selected report part; displaying, in a single view in a graphical user interface, (a) the user selected report part and (b) a control to initiate creation of a description of a Web Service call to return contents of the user selected report part; receiving, by the computer, a user selection of the control to initiate creation of a description of a Web Service call to return contents of the user selected report part; in response to the user selection of the control to initiate creation of the description of the Web Service call to return contents of the user selected report part, issuing, by the computer, an instruction to create the description of the Web Service call to return contents of the user selected report part; in response to the instruction to create the description of the Web Service call to return contents of the user selected report part, creating, by a computer, the description of the Web Service call to return contents of the user selected report part without creating a description of a Web Service call to return contents of the report part other than the user selected report part; and storing the description of the Web Service call in a repository. | 33. A method comprising: receiving a user selection of a report; displaying the user selected report in a view in a graphical user interface; receiving, by a computer, a user selection of a part of the report displayed in the view in the graphical user interface, the user selected report part associated with queries of a semantic layer, the report including a report part other than the user selected report part; displaying, in a single view in a graphical user interface, (a) the user selected report part and (b) a control to initiate creation of a description of a Web Service call to return contents of the user selected report part; receiving, by the computer, a user selection of the control to initiate creation of a description of a Web Service call to return contents of the user selected report part; in response to the user selection of the control to initiate creation of the description of the Web Service call to return contents of the user selected report part, issuing, by the computer, an instruction to create the description of the Web Service call to return contents of the user selected report part; in response to the instruction to create the description of the Web Service call to return contents of the user selected report part, creating, by a computer, the description of the Web Service call to return contents of the user selected report part without creating a description of a Web Service call to return contents of the report part other than the user selected report part; and storing the description of the Web Service call in a repository. 39. A method according to claim 33 , the method further comprising: creating a description of a second Web Service call corresponding to the selected report part, the second Web Service call providing formatting parameters to specify a format of the formatted contents, wherein the second Web Service call is to return formatted contents of the selected report part based on the formatting parameters. | 0.786929 |
8,688,653 | 1 | 9 | 1. A multiple language support system for an application, the system comprising: a resource data management unit for storing first resource data corresponding to multiple languages available in the application in a memory, the stored first resource data includes at least one of Menu, Help, Toolbar, Icon, Dialog and Font for a language, and information on a country; a resource data processing unit for extracting second resource data corresponding to a selected language from the first resource data when a user selects a predetermined language in the application and applying the extracted resource data to the application; and a language conversion unit for converting a language of data transmitted between the application and the operating system when the languages of the operating system and the application are different, wherein the language conversion unit converts the data received in the language of the application from the application into data in the language supported by the operating system, and transmits the converted data to the operating system, wherein the language conversion unit converts commands in a language of data transmitted from the operating system into commands in a common language used by all applications, and transmits the converted data to the application, and wherein the stored first resource data is received through a predetermined communication medium or a predetermined recording medium. | 1. A multiple language support system for an application, the system comprising: a resource data management unit for storing first resource data corresponding to multiple languages available in the application in a memory, the stored first resource data includes at least one of Menu, Help, Toolbar, Icon, Dialog and Font for a language, and information on a country; a resource data processing unit for extracting second resource data corresponding to a selected language from the first resource data when a user selects a predetermined language in the application and applying the extracted resource data to the application; and a language conversion unit for converting a language of data transmitted between the application and the operating system when the languages of the operating system and the application are different, wherein the language conversion unit converts the data received in the language of the application from the application into data in the language supported by the operating system, and transmits the converted data to the operating system, wherein the language conversion unit converts commands in a language of data transmitted from the operating system into commands in a common language used by all applications, and transmits the converted data to the application, and wherein the stored first resource data is received through a predetermined communication medium or a predetermined recording medium. 9. The system of claim 1 , wherein the stored first resource data comprises an environment variable included in a set of functions. | 0.744141 |
9,390,375 | 1 | 2 | 1. A method comprising: providing a non-transitory computer-readable storage medium containing an experience base comprising a stored customization case previously used by a first entity to customize an enterprise system for a first tenant, wherein the stored customization case is in a case representation model that includes a customization problem and a customization solution comprising an adaptation pattern category, the stored customization case further including, information configured to restrict inter-tenant visibility of the stored customization case within the experience base distinct from any anonymization measure, and receiving from a second entity, a first query comprising a first unsolved enterprise customization case for a second tenant, the first unsolved enterprise customization case having a first new customization problem and not having a customization solution; causing a case-based reasoning engine contained within the non-transitory computer-readable storage medium to reference the experience base by executing a case retrieval algorithm upon the case representation model and generate a similarity measure between the first new customization problem and the stored customization case; displaying the similarity measure to the second entity prior to adapting the customization solution for the first unsolved customization case; receiving from the first entity, a second query comprising a second unsolved enterprise customization case for a third tenant; and restricting visibility of the stored customization case to the third tenant based upon the information. | 1. A method comprising: providing a non-transitory computer-readable storage medium containing an experience base comprising a stored customization case previously used by a first entity to customize an enterprise system for a first tenant, wherein the stored customization case is in a case representation model that includes a customization problem and a customization solution comprising an adaptation pattern category, the stored customization case further including, information configured to restrict inter-tenant visibility of the stored customization case within the experience base distinct from any anonymization measure, and receiving from a second entity, a first query comprising a first unsolved enterprise customization case for a second tenant, the first unsolved enterprise customization case having a first new customization problem and not having a customization solution; causing a case-based reasoning engine contained within the non-transitory computer-readable storage medium to reference the experience base by executing a case retrieval algorithm upon the case representation model and generate a similarity measure between the first new customization problem and the stored customization case; displaying the similarity measure to the second entity prior to adapting the customization solution for the first unsolved customization case; receiving from the first entity, a second query comprising a second unsolved enterprise customization case for a third tenant; and restricting visibility of the stored customization case to the third tenant based upon the information. 2. The method of claim 1 wherein the case-based reasoning engine comprises an add-on to a Platform-as-a-Service (PaaS) component of the enterprise system. | 0.680498 |
7,765,200 | 25 | 31 | 25. A computer readable storage medium containing program instructions executable on a processing system for query problem determination; the program instructions comprising: receiving a database query; creating a query execution plan for problem determination of the database query, the query execution plan comprising a plurality of query plan operators; executing the query execution plan; displaying a progress indicator for each of the plurality of query plan operators during execution of the query execution plan in response to progress information; communicating progress information to a query progress analyzer for performing debugging operations; and performing debugging operations during execution of the query execution plan by a query progress analyzer, wherein performing the debugging operations comprises: skipping at least a portion of the query execution plan; pausing execution of the query execution plan at a designated point; inspecting the query execution plan including one or more of looking up variables in the query execution plan and stepping through the query execution plan to inspect different portions of the query execution for problem determination, while the query execution is paused; resuming execution of the query execution plan from the designated point; and providing updated progress information to update display of the progress indicator, wherein upon the query execution plan's invocation, a wrapper function intervenes and jumps into debugging logic which increments a counter for the current query plan operator, and executes any additional instructions corresponding to the query plan operator, wherein the additional instructions include graphically displaying the progress as an enhancement to a query explain tool, wherein the query explain tool would poll the current status of the actual cardinalities processed for each part of the query execution plan and utilizing the existing explain facility. | 25. A computer readable storage medium containing program instructions executable on a processing system for query problem determination; the program instructions comprising: receiving a database query; creating a query execution plan for problem determination of the database query, the query execution plan comprising a plurality of query plan operators; executing the query execution plan; displaying a progress indicator for each of the plurality of query plan operators during execution of the query execution plan in response to progress information; communicating progress information to a query progress analyzer for performing debugging operations; and performing debugging operations during execution of the query execution plan by a query progress analyzer, wherein performing the debugging operations comprises: skipping at least a portion of the query execution plan; pausing execution of the query execution plan at a designated point; inspecting the query execution plan including one or more of looking up variables in the query execution plan and stepping through the query execution plan to inspect different portions of the query execution for problem determination, while the query execution is paused; resuming execution of the query execution plan from the designated point; and providing updated progress information to update display of the progress indicator, wherein upon the query execution plan's invocation, a wrapper function intervenes and jumps into debugging logic which increments a counter for the current query plan operator, and executes any additional instructions corresponding to the query plan operator, wherein the additional instructions include graphically displaying the progress as an enhancement to a query explain tool, wherein the query explain tool would poll the current status of the actual cardinalities processed for each part of the query execution plan and utilizing the existing explain facility. 31. The computer readable medium of claim 25 , wherein performing the one or more debugging operations further comprises: resuming execution of the query execution plan from a second designated point. | 0.802761 |
9,471,874 | 8 | 9 | 8. The information handling system of claim 6 wherein the actions further comprise: identifying a plurality of follow-up postings corresponding to the identified question; analyzing each of the follow-up postings to identify a conversational move corresponding to each of the follow up postings, wherein at least one of the conversational postings is selected from the group consisting of an answer, a clarification, a rejection, or a different conversational move; and generating a contribution tree based on the follow-up postings and their identified conversational moves. | 8. The information handling system of claim 6 wherein the actions further comprise: identifying a plurality of follow-up postings corresponding to the identified question; analyzing each of the follow-up postings to identify a conversational move corresponding to each of the follow up postings, wherein at least one of the conversational postings is selected from the group consisting of an answer, a clarification, a rejection, or a different conversational move; and generating a contribution tree based on the follow-up postings and their identified conversational moves. 9. The information handling system of claim 8 wherein the actions further comprise: pruning one or more of the follow-up postings from the contribution tree based on a contribution analysis, wherein the pruned follow-up postings have a contribution analysis result selected from the group consisting of an answer leading to a new question, an overly deep follow-up posting, and another pruning criteria. | 0.921258 |
8,542,950 | 4 | 7 | 4. The method of claim 1 , wherein the at least one image feature cue comprises hue, saturation, value, focus, texture, or a combination thereof. | 4. The method of claim 1 , wherein the at least one image feature cue comprises hue, saturation, value, focus, texture, or a combination thereof. 7. The method of claim 4 , wherein the texture is modeled as a histogram of total response to a predetermined number of bar and spot features. | 0.968653 |
9,904,850 | 17 | 18 | 17. The mobile device of claim 16 , wherein the at least one hardware processor is further configurable to track the at least one scene object in real-time as a function of the recognition features. | 17. The mobile device of claim 16 , wherein the at least one hardware processor is further configurable to track the at least one scene object in real-time as a function of the recognition features. 18. The mobile device of claim 17 , wherein the at least one hardware processor is further configurable to track the at least one scene object at a frame rate of a video rendering of the AR content on the display. | 0.937168 |
10,101,889 | 17 | 20 | 17. A non-transitory computer readable medium including computer program instructions for creating and editing of a dashboard, the computer program instructions, when executed, causing a computer to implement a process comprising: transforming data extracted from a data repository to generate read-only pre-packaged data sets for querying; storing the read-only pre-packaged data sets in a general-purpose distributed memory caching system associated with the computer system; receiving, in a dashboard editing mode, a selection of a second panel to add to the dashboard, wherein the second panel provides a visual representation of data, from the data repository, in a graph; the dashboard includes (i) faceted first panels including filtering controls and (ii) selection controls; the faceted first panels provide a visual representation of data, from the data repository, in a chart, such that each faceted first panel, of the faceted first panels, (i) presents one or more segments of a category from data in the data repository and (ii) associates at least one of the one or more segments with a filtering control that can be linked to a facet property; and an activated facet property of a faceted first panel, of the faceted first panels, causes one or more other faceted first panels to share and be responsive to signals from both (i) the filtering control included in the faceted first panel and (ii) the selection controls; activating a facet property of the second panel to link a selection of data visually displayed in the second panel to the signals from both (i) the filtering control included in the faceted first panel and (ii) the selection controls; identifying a user selection of the filtering control included in the faceted first panel; executing a query on the read-only pre-packaged data sets stored in the general-purpose distributed memory caching system based at least in part on the user selection; and populating the second panel using results of the executed query without requiring a user to exit the dashboard editing mode, wherein the selection controls, the filtering control included in the faceted first panel and a filtering control displayed by the one or more other faceted first panels are simultaneously presented for interaction by user selection, and wherein the filtering control included in the faceted first panel applies a filter to adjust (i) the filtering control of the one or more other faceted first panels to provide interactive visual representations of the one or more segments displayed by at least one chart of the one or more other faceted first panels, and (ii) a visual representation of the graph displayed by the second panel. | 17. A non-transitory computer readable medium including computer program instructions for creating and editing of a dashboard, the computer program instructions, when executed, causing a computer to implement a process comprising: transforming data extracted from a data repository to generate read-only pre-packaged data sets for querying; storing the read-only pre-packaged data sets in a general-purpose distributed memory caching system associated with the computer system; receiving, in a dashboard editing mode, a selection of a second panel to add to the dashboard, wherein the second panel provides a visual representation of data, from the data repository, in a graph; the dashboard includes (i) faceted first panels including filtering controls and (ii) selection controls; the faceted first panels provide a visual representation of data, from the data repository, in a chart, such that each faceted first panel, of the faceted first panels, (i) presents one or more segments of a category from data in the data repository and (ii) associates at least one of the one or more segments with a filtering control that can be linked to a facet property; and an activated facet property of a faceted first panel, of the faceted first panels, causes one or more other faceted first panels to share and be responsive to signals from both (i) the filtering control included in the faceted first panel and (ii) the selection controls; activating a facet property of the second panel to link a selection of data visually displayed in the second panel to the signals from both (i) the filtering control included in the faceted first panel and (ii) the selection controls; identifying a user selection of the filtering control included in the faceted first panel; executing a query on the read-only pre-packaged data sets stored in the general-purpose distributed memory caching system based at least in part on the user selection; and populating the second panel using results of the executed query without requiring a user to exit the dashboard editing mode, wherein the selection controls, the filtering control included in the faceted first panel and a filtering control displayed by the one or more other faceted first panels are simultaneously presented for interaction by user selection, and wherein the filtering control included in the faceted first panel applies a filter to adjust (i) the filtering control of the one or more other faceted first panels to provide interactive visual representations of the one or more segments displayed by at least one chart of the one or more other faceted first panels, and (ii) a visual representation of the graph displayed by the second panel. 20. The non-transitory computer readable medium of claim 17 , wherein the computer program instructions further cause the computer to implement a process comprising: receiving a signal that indicates completion of a dashboard editing action; responsively re-executing one or more queries on the read-only pre-packaged data sets stored in the general-purpose distributed memory caching system underlying the faceted first panels and the second panel; and updating charts or graphs in the faceted first panels and the second panel based at least in part on the re-executed one or more queries. | 0.634282 |
8,577,868 | 12 | 14 | 12. A system, comprising: a memory configured to store instructions; and a processor configured to execute one or more of the instructions to: receive a search query from a user; obtain search results related to the search query, each of the search results being associated with a respective document in a group of documents; determine respective ranks of the search results based on the search query; and automatically bookmark, based on the respective ranks, a highest ranking one of the search results. | 12. A system, comprising: a memory configured to store instructions; and a processor configured to execute one or more of the instructions to: receive a search query from a user; obtain search results related to the search query, each of the search results being associated with a respective document in a group of documents; determine respective ranks of the search results based on the search query; and automatically bookmark, based on the respective ranks, a highest ranking one of the search results. 14. The system of claim 12 , where the processor, when determining the respective ranks of the search results, is further configured to execute at least one of the instructions to: determine a particular topic associated with the user; and determine the respective ranks of the search results further based on the particular topic. | 0.761527 |
8,478,794 | 1 | 4 | 1. A user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on learned user preferences, the method comprising: providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item; receiving incremental input entered by the user for incrementally identifying desired content items; in response to the incremental input entered by the user, presenting a subset of content items; receiving selection actions of content items of the subset from the user; analyzing the descriptive terms associated with the selected content items to learn the preferred descriptive terms of the user; expressing the learned preferred descriptive terms as a segmented measurement collection having at least one coarse grain segment, wherein the coarse grain segment has relatively coarse grain differentiation of measurements associated with preferred descriptive terms within the segment, wherein the coarse grain segment includes at least two measurement groups, each measurement group having a preselected range of measurement values that determine which measurements are in the measurement group so that any measurements in a particular measurement group are not differentiated from other measurements in the same group, and wherein the measurements in different measurement groups are differentiated from each other; and in response to receiving subsequent incremental input entered by the user, selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented measurement collection; wherein at least one of the incremental input and the subsequent incremental input are entered by the user on an input constrained device. | 1. A user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on learned user preferences, the method comprising: providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item; receiving incremental input entered by the user for incrementally identifying desired content items; in response to the incremental input entered by the user, presenting a subset of content items; receiving selection actions of content items of the subset from the user; analyzing the descriptive terms associated with the selected content items to learn the preferred descriptive terms of the user; expressing the learned preferred descriptive terms as a segmented measurement collection having at least one coarse grain segment, wherein the coarse grain segment has relatively coarse grain differentiation of measurements associated with preferred descriptive terms within the segment, wherein the coarse grain segment includes at least two measurement groups, each measurement group having a preselected range of measurement values that determine which measurements are in the measurement group so that any measurements in a particular measurement group are not differentiated from other measurements in the same group, and wherein the measurements in different measurement groups are differentiated from each other; and in response to receiving subsequent incremental input entered by the user, selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented measurement collection; wherein at least one of the incremental input and the subsequent incremental input are entered by the user on an input constrained device. 4. The method of claim 1 , wherein the measurements of the segmented measurement collection associated with preferred descriptive terms are based on the frequency of selection of content items associated with said preferred descriptive terms. | 0.875 |
3,982,333 | 1 | 5 | 1. A color coded speller comprising: a surface; a plurality of horizontally disposed lines of alphabet letters on said surface; an equal plurality of horizontally disposed code marking lanes on said surface, each code marking lane disposed directly above a line of alphabet letters; said horizontal code marking lanes adapted to removably receive code marks; a plurality of vertically disposed word and sentence lanes on said surface adapted to removably receive alphabet letters whereby a teacher may place a code mark above a selected letter in some or all of said lines and a pupil may copy said selected letters in one of said vertically disposed lanes to spell words and sentences which were preselected by the teacher. | 1. A color coded speller comprising: a surface; a plurality of horizontally disposed lines of alphabet letters on said surface; an equal plurality of horizontally disposed code marking lanes on said surface, each code marking lane disposed directly above a line of alphabet letters; said horizontal code marking lanes adapted to removably receive code marks; a plurality of vertically disposed word and sentence lanes on said surface adapted to removably receive alphabet letters whereby a teacher may place a code mark above a selected letter in some or all of said lines and a pupil may copy said selected letters in one of said vertically disposed lanes to spell words and sentences which were preselected by the teacher. 5. A color code speller as claimed in claim 1 wherein the lines of alphabet letters are covered by a clear film seal to prevent inadvertant removal of the alphabet letters. | 0.701389 |
8,381,119 | 28 | 30 | 28. The system of claim 17 , wherein the display controller is further programmed to display a second arrangement including a second set of characters of the pictographic language on the touchscreen display in place of the first arrangement. | 28. The system of claim 17 , wherein the display controller is further programmed to display a second arrangement including a second set of characters of the pictographic language on the touchscreen display in place of the first arrangement. 30. The system of claim 28 , wherein the display controller is further programmed to display industry-specific characters on the second arrangement. | 0.940658 |
9,104,732 | 1 | 15 | 1. A method for internet presence scoring comprising: receiving, by use of a processor, a search phrase; receiving a search type selected from the group consisting of a brand type, a person type, and a phase type; selecting a specified data source in response to the search type; initiating a search; retrieving a plurality of search results for the search phrase from the specified data source; and calculating an Internet score as a function of a sentiment value for each of a search score, a social score, a review score, and a media score of the plurality of search results as k1*SR+k2*SO+k4*SE+k5*ME where k1, k2, k4, and k5 are constants, SR is the search score, SO is the social score, SE is the secure site score, and ME is the media score. | 1. A method for internet presence scoring comprising: receiving, by use of a processor, a search phrase; receiving a search type selected from the group consisting of a brand type, a person type, and a phase type; selecting a specified data source in response to the search type; initiating a search; retrieving a plurality of search results for the search phrase from the specified data source; and calculating an Internet score as a function of a sentiment value for each of a search score, a social score, a review score, and a media score of the plurality of search results as k1*SR+k2*SO+k4*SE+k5*ME where k1, k2, k4, and k5 are constants, SR is the search score, SO is the social score, SE is the secure site score, and ME is the media score. 15. The method of claim 1 , wherein the Internet score is calculated if a number of search results exceed a search threshold. | 0.883178 |
8,041,729 | 18 | 27 | 18. A volatile or non-volatile computer-readable storage medium storing one or more sequences of instructions which, when executed by one or more computing devices, cause the one or more computing devices to perform: associating a category to a set of nodes of a graph by: determining a first node that represents a first term that is in the category; locating a second node associated with the first node based at least in part on a first degree of cross-reference between the first node and the second node, the second node representing a second term, wherein the first degree of cross-reference is based at least in part on a frequency by which the first term appears in a set of documents with the second term; locating a third node associated with the second node based at least in part on a second degree of cross-reference between the second node and the third node, the third node representing a third term, wherein the second degree of cross-reference is based at least in part on a frequency by which the second term appears in a set of documents with the third term; based at least in part on both (a) the first degree of cross-reference between the first node and the second node, and (b) the second degree of cross-reference between the second node and the third node, determining whether or not the third term is in the category; in response to determining that the third term is in the category, storing information that indicates the third term is in the category. | 18. A volatile or non-volatile computer-readable storage medium storing one or more sequences of instructions which, when executed by one or more computing devices, cause the one or more computing devices to perform: associating a category to a set of nodes of a graph by: determining a first node that represents a first term that is in the category; locating a second node associated with the first node based at least in part on a first degree of cross-reference between the first node and the second node, the second node representing a second term, wherein the first degree of cross-reference is based at least in part on a frequency by which the first term appears in a set of documents with the second term; locating a third node associated with the second node based at least in part on a second degree of cross-reference between the second node and the third node, the third node representing a third term, wherein the second degree of cross-reference is based at least in part on a frequency by which the second term appears in a set of documents with the third term; based at least in part on both (a) the first degree of cross-reference between the first node and the second node, and (b) the second degree of cross-reference between the second node and the third node, determining whether or not the third term is in the category; in response to determining that the third term is in the category, storing information that indicates the third term is in the category. 27. The volatile or non-volatile computer-readable storage medium of claim 18 , wherein the category is associated with a set of related nodes, wherein the one or more sequences of instructions, when executed by the one or more processors, further cause the one or more processors to perform: determining a set of related terms, each term of the set of related terms associated with a node of the set of related nodes; determining that a query is associated with at least one term of the set of related terms; in response to determining that the query is related to the at least one term of the set of related terms, storing a second information that indicates the query is associated with at least one other term of the set of related terms. | 0.555156 |
7,961,143 | 13 | 20 | 13. A device to perform ambiguity resolution in a global navigation satellite system, comprising: a receiver configured to receive satellite carrier signals; one or more processors; and memory storing one or more programs configured for execution by the one or more processors, the one or more programs for resolving ambiguities associated with carrier phase measurements of at least some of the carrier signals received from satellites in an identified set of satellites, the one or more programs including: instructions for identifying a set of ambiguities associated with the carrier phase measurements; instructions for estimating integer ambiguities in the set of ambiguities, including determining a best candidate set and a second best candidate set of integer ambiguity values for each of the ambiguities in the set of ambiguities; instructions for determining that the best candidate set of integer ambiguity values fail to meet a discrimination test with respect to the second best candidate set, and upon such determination, removing from the set of ambiguities each ambiguity for which integer ambiguity values in the best candidate set and second best candidate set fail to meet predefined criteria to produce a reduced set of ambiguities; instructions for performing operations to resolve the integer ambiguities in the reduced set of ambiguities; and instructions for generating a result in accordance with the resolved integer ambiguities in the reduced set of ambiguities. | 13. A device to perform ambiguity resolution in a global navigation satellite system, comprising: a receiver configured to receive satellite carrier signals; one or more processors; and memory storing one or more programs configured for execution by the one or more processors, the one or more programs for resolving ambiguities associated with carrier phase measurements of at least some of the carrier signals received from satellites in an identified set of satellites, the one or more programs including: instructions for identifying a set of ambiguities associated with the carrier phase measurements; instructions for estimating integer ambiguities in the set of ambiguities, including determining a best candidate set and a second best candidate set of integer ambiguity values for each of the ambiguities in the set of ambiguities; instructions for determining that the best candidate set of integer ambiguity values fail to meet a discrimination test with respect to the second best candidate set, and upon such determination, removing from the set of ambiguities each ambiguity for which integer ambiguity values in the best candidate set and second best candidate set fail to meet predefined criteria to produce a reduced set of ambiguities; instructions for performing operations to resolve the integer ambiguities in the reduced set of ambiguities; and instructions for generating a result in accordance with the resolved integer ambiguities in the reduced set of ambiguities. 20. The device of claim 13 , wherein the instructions for removing include instructions for removing from the set of integer ambiguities all the integer ambiguities for a satellite for which the integer ambiguity values in the best candidate set and second best candidate set fail to meet the predefined criteria. | 0.898311 |
8,401,987 | 8 | 9 | 8. The method of claim 7 , wherein the statistical values comprise at least one of a confidence level, support and/or lift further comprising: generating a summary metric for each record in the second data set as a function of the determined association rule model metrics and the predictive model metrics. | 8. The method of claim 7 , wherein the statistical values comprise at least one of a confidence level, support and/or lift further comprising: generating a summary metric for each record in the second data set as a function of the determined association rule model metrics and the predictive model metrics. 9. The method of claim 8 , wherein weights associated with the association rule models and predictive models are used in the functions to determine the metrics for the association rule models and the predictive models. | 0.941049 |
9,652,544 | 12 | 13 | 12. The system of claim 11 , wherein generating the first snippet based on user data comprises: retrieving a plurality of text pieces associated with the authoritative user, each text piece having been generated from the user data; identifying one or more snippet pieces from the plurality of text pieces based on the trigger query; and appending two or more snippet pieces together to provide the first snippet. | 12. The system of claim 11 , wherein generating the first snippet based on user data comprises: retrieving a plurality of text pieces associated with the authoritative user, each text piece having been generated from the user data; identifying one or more snippet pieces from the plurality of text pieces based on the trigger query; and appending two or more snippet pieces together to provide the first snippet. 13. The system of claim 12 , wherein the operations further comprise determining that the first snippet is insufficient and in response: selecting a snippet piece to append to the first snippet, determining that the snippet piece is to be appended to the first snippet, and appending the snippet piece to the first snippet. | 0.899752 |
7,904,300 | 22 | 23 | 22. An in-vehicle system comprising: at least a first console adapted to be operated by a first user; at least a second console adapted to be operated by a second user; and a speech processor to receive and process speech requests from the first and second consoles, wherein the in-vehicle system is configured to service speech requests received simultaneously at the first console and the second console, wherein the speech processor is configured to: process a first speech processing request received from the first console and send a first result to the first console, the first result being responsive to the first speech processing request; and process a second speech processing request received from the second console and send a second result to the second console, the second result being responsive to the second speech processing request; and wherein the first console and the second console each is configured to run at least one speech-enabled application. | 22. An in-vehicle system comprising: at least a first console adapted to be operated by a first user; at least a second console adapted to be operated by a second user; and a speech processor to receive and process speech requests from the first and second consoles, wherein the in-vehicle system is configured to service speech requests received simultaneously at the first console and the second console, wherein the speech processor is configured to: process a first speech processing request received from the first console and send a first result to the first console, the first result being responsive to the first speech processing request; and process a second speech processing request received from the second console and send a second result to the second console, the second result being responsive to the second speech processing request; and wherein the first console and the second console each is configured to run at least one speech-enabled application. 23. The in-vehicle system of claim 22 , wherein the at least one speech-enabled application is selected from a group consisting of: a web browser, a movie player, and a video game. | 0.895592 |
7,937,386 | 25 | 26 | 25. A system according to claim 16 , wherein: the query input received by the user input query means specifies additional search terms; and the query processing logic filters the matched document segments to identify those document segments that satisfy the additional search terms. | 25. A system according to claim 16 , wherein: the query input received by the user input query means specifies additional search terms; and the query processing logic filters the matched document segments to identify those document segments that satisfy the additional search terms. 26. A system according to claim 25 , wherein: the additional search terms comprise one or more key word terms. | 0.964744 |
8,892,553 | 16 | 19 | 16. A method performed by at least one computer processing unit, the method comprising: obtaining a captured video version of a meeting having a plurality of participants including a speaker and other participants, the captured video version of the meeting including an indicator comprising one or more of a gesture by the speaker, a keyword spoken by the speaker, or body language of the speaker; automatically distinguishing among the plurality of participants in the meeting to identify the speaker in the captured video version of the meeting, wherein the automatically distinguishing comprises performing at least one of speech recognition or facial recognition to distinguish the speaker from the other participants in the meeting; recognizing the indicator in a portion of the captured video version of the meeting; automatically applying one or more edits to the captured video version of the meeting based on the gesture by the speaker, the keyword spoken by the speaker, or the body language of the speaker, the one or more edits being applied based on a rule associated with the gesture, the keyword, or the body language; and combining the one or more edits and the captured video version of the meeting to rewrite the captured video version of the meeting into a revised video version of the meeting. | 16. A method performed by at least one computer processing unit, the method comprising: obtaining a captured video version of a meeting having a plurality of participants including a speaker and other participants, the captured video version of the meeting including an indicator comprising one or more of a gesture by the speaker, a keyword spoken by the speaker, or body language of the speaker; automatically distinguishing among the plurality of participants in the meeting to identify the speaker in the captured video version of the meeting, wherein the automatically distinguishing comprises performing at least one of speech recognition or facial recognition to distinguish the speaker from the other participants in the meeting; recognizing the indicator in a portion of the captured video version of the meeting; automatically applying one or more edits to the captured video version of the meeting based on the gesture by the speaker, the keyword spoken by the speaker, or the body language of the speaker, the one or more edits being applied based on a rule associated with the gesture, the keyword, or the body language; and combining the one or more edits and the captured video version of the meeting to rewrite the captured video version of the meeting into a revised video version of the meeting. 19. The method of claim 16 , wherein the automatically distinguishing comprises performing the facial recognition. | 0.851563 |
9,727,844 | 7 | 9 | 7. An apparatus comprising: a documentation presentation module configured to visually present a list of documents within a documentation package adjacent to content of at least one document selected by a user from the list of documents in an online framework, the online framework facilitating navigation of the list of documents of the documentation package, the online documentation framework generated using an integrated development environment; a documentation review module configured to receive and store comments associated with the selected at least one document in the documentation package, the documentation review application comprising a separate executable application from the online documentation framework, wherein the documentation review application is not natively included with the online documentation framework; and an integration module configured to: integrate the documentation review module into the documentation presentation module such that comments associated with the selected at least one document of the documentation package may be one or more of submitted and viewed from within the online documentation framework, the comments being accessible using a link presented within the online documentation framework for the selected at least one document, the link directing a user to comments maintained for the selected at least one document by the documentation review application; present one or more comments associated with the selected at least one document within the online documentation framework in response to verifying the user is separately logged into both the online documentation framework and the documentation review application, the presented one or more comments being updated in real-time in response to one or more users creating new comments for the selected at least one document using the documentation review application; toggle presentation of the one or more comments in response to the user selecting the link such that the user can switch between displaying an unmarked-up version of the at least document and a marked-up version of the at least one document with comments presented interspersed throughout the document; and search for a document in the documentation package in response to user input, wherein the searching is synchronized with the visually presented list of documents adjacent to the content of the selected document such that documents in the visually presented list that match results of the search are visually highlighted in the list of documents, wherein at least a portion of the documentation presentation module, the documentation review module, and the integration module comprises one or more of hardware and code executable by a processor, the executable code stored on one or more non-transitory computer readable storage media. | 7. An apparatus comprising: a documentation presentation module configured to visually present a list of documents within a documentation package adjacent to content of at least one document selected by a user from the list of documents in an online framework, the online framework facilitating navigation of the list of documents of the documentation package, the online documentation framework generated using an integrated development environment; a documentation review module configured to receive and store comments associated with the selected at least one document in the documentation package, the documentation review application comprising a separate executable application from the online documentation framework, wherein the documentation review application is not natively included with the online documentation framework; and an integration module configured to: integrate the documentation review module into the documentation presentation module such that comments associated with the selected at least one document of the documentation package may be one or more of submitted and viewed from within the online documentation framework, the comments being accessible using a link presented within the online documentation framework for the selected at least one document, the link directing a user to comments maintained for the selected at least one document by the documentation review application; present one or more comments associated with the selected at least one document within the online documentation framework in response to verifying the user is separately logged into both the online documentation framework and the documentation review application, the presented one or more comments being updated in real-time in response to one or more users creating new comments for the selected at least one document using the documentation review application; toggle presentation of the one or more comments in response to the user selecting the link such that the user can switch between displaying an unmarked-up version of the at least document and a marked-up version of the at least one document with comments presented interspersed throughout the document; and search for a document in the documentation package in response to user input, wherein the searching is synchronized with the visually presented list of documents adjacent to the content of the selected document such that documents in the visually presented list that match results of the search are visually highlighted in the list of documents, wherein at least a portion of the documentation presentation module, the documentation review module, and the integration module comprises one or more of hardware and code executable by a processor, the executable code stored on one or more non-transitory computer readable storage media. 9. The apparatus of claim 7 , further comprising a print module configured to print the contents of the documentation package, wherein the documentation package may be printed as one or more of the complete documentation package, sections of the documentation package, and individual documents within the documentation package. | 0.501524 |
8,892,418 | 10 | 15 | 10. A device for translating a text fragment in an input language into an output language, the device comprising: a processor; and a memory in electronic communication with the processor, wherein the memory is configured with instructions to cause the processor to perform actions comprising: obtaining a language-independent semantic structure of the sentence to be synthesized in language-independent terms wherein the meaning of the sentence is expressed as a language-independent directed acyclic graph including nodes, wherein the nodes correspond to semantic classes; selecting at least one lexical meaning from multiple lexical meanings in a corresponding semantic class for each node of the acyclic graph using: a lexical-semantic description of the output language, a rating related to lexical meanings in the output language, a rating related to combinations of the lexical meanings in the output language, and a most number of semantemes assigned to a constituent core of a corresponding word of the sentence, on the basis of the rating related to lexical meanings in the output language and the rating related to combinations of the lexical meanings in the output language; building a surface structure of the output sentence in the output language from the language-independent semantic structure using a syntactic description of the output language, wherein the surface structure of the output sentence is built at least in part based on a rating of syntactic constructions of the output language; restoring a movement and determining a linear order on the syntactic structure of the output sentence in the output language; and performing a morphological synthesis of the output sentence using morphological descriptions of the output language. | 10. A device for translating a text fragment in an input language into an output language, the device comprising: a processor; and a memory in electronic communication with the processor, wherein the memory is configured with instructions to cause the processor to perform actions comprising: obtaining a language-independent semantic structure of the sentence to be synthesized in language-independent terms wherein the meaning of the sentence is expressed as a language-independent directed acyclic graph including nodes, wherein the nodes correspond to semantic classes; selecting at least one lexical meaning from multiple lexical meanings in a corresponding semantic class for each node of the acyclic graph using: a lexical-semantic description of the output language, a rating related to lexical meanings in the output language, a rating related to combinations of the lexical meanings in the output language, and a most number of semantemes assigned to a constituent core of a corresponding word of the sentence, on the basis of the rating related to lexical meanings in the output language and the rating related to combinations of the lexical meanings in the output language; building a surface structure of the output sentence in the output language from the language-independent semantic structure using a syntactic description of the output language, wherein the surface structure of the output sentence is built at least in part based on a rating of syntactic constructions of the output language; restoring a movement and determining a linear order on the syntactic structure of the output sentence in the output language; and performing a morphological synthesis of the output sentence using morphological descriptions of the output language. 15. The device of claim 10 , wherein building a surface structure of the output sentence in the output language further comprises restoring movements. | 0.816626 |
10,042,539 | 2 | 7 | 2. The method of claim 1 , further comprising: receiving a second user input requesting adjustment of the adjustable slide control; and changing, in response to receiving the second user input, a characteristic of the default text contained in the text window without changing the width and the height of the text window. | 2. The method of claim 1 , further comprising: receiving a second user input requesting adjustment of the adjustable slide control; and changing, in response to receiving the second user input, a characteristic of the default text contained in the text window without changing the width and the height of the text window. 7. The method of claim 2 , wherein the text characteristic is one of a letter spacing and a line spacing, and wherein the changing of the characteristic includes changing the respective letter spacing or line spacing from a first spacing to a second spacing that is different than the first spacing. | 0.890956 |
8,402,005 | 31 | 32 | 31. A method for creating a self-extracting file, the method comprising: receiving, in response to a single action, an input file to be used in creating a self-extracting file; without further instruction, creating a self-extracting file using the input file and automatically launching the input file upon execution of the self-extracting file. | 31. A method for creating a self-extracting file, the method comprising: receiving, in response to a single action, an input file to be used in creating a self-extracting file; without further instruction, creating a self-extracting file using the input file and automatically launching the input file upon execution of the self-extracting file. 32. The method of claim 31 , wherein the input file is an executable routine and wherein a function of the executable routine is called upon loading of the executable routine. | 0.917453 |
8,272,009 | 14 | 16 | 14. The method of claim 1 , further comprising: classifying a current user of the UED as a function of inputs received at the UED over time, wherein selecting the one of the subset of assets for an asset delivery spot as a function of the targeting criteria comprises comparing at least a first of the targeting with the classification of the current user of said UED. | 14. The method of claim 1 , further comprising: classifying a current user of the UED as a function of inputs received at the UED over time, wherein selecting the one of the subset of assets for an asset delivery spot as a function of the targeting criteria comprises comparing at least a first of the targeting with the classification of the current user of said UED. 16. The method of claim 14 , wherein said targeting criteria relates to at least one of an asset account value per user, an asset billing value, or an asset audience size. | 0.939059 |
9,679,556 | 15 | 28 | 15. A method for training an acoustic model, comprising the steps of: a) performing a forced alignment of speech training data; b) performing recognition on said training data and estimating error rates of each tied-state triphone; c) processing the training data and obtaining one or more of an estimated scatter matrix from which a mean vector may be estimated, wherein the processing is performed based on an error rate of tied state classes per an acoustic model; d) biasing the one or more of an estimated scatter matrix; e) performing diagonalization on one or more of an estimated scatter matrix and estimating a vector to produce one or more transformed scatter matrix; f) obtaining new discriminative features using the transformed one or more of an estimated scatter matrix as a linear transformation of a vector; g) training a new acoustic model; and h) saving said acoustic model. | 15. A method for training an acoustic model, comprising the steps of: a) performing a forced alignment of speech training data; b) performing recognition on said training data and estimating error rates of each tied-state triphone; c) processing the training data and obtaining one or more of an estimated scatter matrix from which a mean vector may be estimated, wherein the processing is performed based on an error rate of tied state classes per an acoustic model; d) biasing the one or more of an estimated scatter matrix; e) performing diagonalization on one or more of an estimated scatter matrix and estimating a vector to produce one or more transformed scatter matrix; f) obtaining new discriminative features using the transformed one or more of an estimated scatter matrix as a linear transformation of a vector; g) training a new acoustic model; and h) saving said acoustic model. 28. The method of claim 15 , wherein step (f) is further comprises the steps of: a) estimating parameters with new features obtained through the one or more transformed matrix; and b) using a maximum likelihood formula with new features to perform training. | 0.874756 |
8,694,511 | 1 | 4 | 1. A computer-implemented method, the method comprising: identifying click data for a document, wherein the click data represents a plurality of selections of the document, each selection being weighted according to a respective viewing time of the document when the document was identified as a search result responsive to a query submitted by a respective user in a respective country in a respective language; calculating first click data by aggregating the weighted selections of the document that are for a same respective country in a respective language; calculating second click data by aggregating the weighted selections of the document that are for a same respective language; deemphasizing the second click data relative to the first click data based on, at least, a determination that a language of the query and a language of a user interface are the same; and calculating a quality of result statistic for the document by combining the first click data with the deemphasized second click data; and providing the quality of result statistic as an input to a ranking for the document. | 1. A computer-implemented method, the method comprising: identifying click data for a document, wherein the click data represents a plurality of selections of the document, each selection being weighted according to a respective viewing time of the document when the document was identified as a search result responsive to a query submitted by a respective user in a respective country in a respective language; calculating first click data by aggregating the weighted selections of the document that are for a same respective country in a respective language; calculating second click data by aggregating the weighted selections of the document that are for a same respective language; deemphasizing the second click data relative to the first click data based on, at least, a determination that a language of the query and a language of a user interface are the same; and calculating a quality of result statistic for the document by combining the first click data with the deemphasized second click data; and providing the quality of result statistic as an input to a ranking for the document. 4. The method of claim 1 in which the second click data is deemphasized by applying a smoothing factor to the second click data. | 0.892617 |
7,590,631 | 1 | 4 | 1. A method for aiding a user in navigating documents containing hyperlinks, the method comprising: storing reader preferences relating to information contained in the headers of secondary documents; including an audience category in the reader preferences, whereby the user may obtain a modified hyperlink indication of relevance to reader preferences by secondary document author; including an identification of a domain in the reader preferences, whereby the user may obtain a modified hyperlink indicating a secondary document from a predetermined source that the user expects to be useful; retrieving a document from a network location; parsing the document for hyperlinks associated with secondary documents; responsive to detecting a hyperlink, sending a request for the header of the secondary document associated with the hyperlink, wherein the header contains information corresponding to characteristics of the secondary document; receiving only the secondary document header from a hypertext server responding to the request; comparing the information within the header of the secondary document to the stored reader preferences; and modifying the presentation of the hyperlink to the user based on results of the comparison of the information contained within the header with the stored reader preferences. | 1. A method for aiding a user in navigating documents containing hyperlinks, the method comprising: storing reader preferences relating to information contained in the headers of secondary documents; including an audience category in the reader preferences, whereby the user may obtain a modified hyperlink indication of relevance to reader preferences by secondary document author; including an identification of a domain in the reader preferences, whereby the user may obtain a modified hyperlink indicating a secondary document from a predetermined source that the user expects to be useful; retrieving a document from a network location; parsing the document for hyperlinks associated with secondary documents; responsive to detecting a hyperlink, sending a request for the header of the secondary document associated with the hyperlink, wherein the header contains information corresponding to characteristics of the secondary document; receiving only the secondary document header from a hypertext server responding to the request; comparing the information within the header of the secondary document to the stored reader preferences; and modifying the presentation of the hyperlink to the user based on results of the comparison of the information contained within the header with the stored reader preferences. 4. The method as recited in claim 1 , wherein the hyperlinks are color coded to indicate the results of the comparison for the information to the reader preferences wherein varying colors are utilized to represent varying results. | 0.798599 |
5,546,575 | 1 | 14 | 1. A database storage method for encoding a database structure having a plurality of data records and a plurality of data fields, said method comprising the following steps: selecting a field of the database structure from the plurality of data fields; reading a plurality of data values from the selected field, each individual data value being read from a separate record; determining a plurality of field characteristics and a plurality of compaction criteria, the field characteristics being dependent on the data values within the selected field and the compaction criteria corresponding to a plurality of compaction methods wherein each compaction method has a relative priority level; identifying a first field characteristic from said plurality of field characteristics which satisfies a corresponding one of said compaction criteria, said first field characteristic corresponding to a first compaction method with the highest priority level of any remaining compaction methods which also have compaction criteria satisfied by a corresponding field characteristic; applying the first compaction method to the selected field to create a plurality of compacted data values, the compacted data values being reduced storage equivalents of the data values; and storing the compacted data values in a plurality of compacted records. | 1. A database storage method for encoding a database structure having a plurality of data records and a plurality of data fields, said method comprising the following steps: selecting a field of the database structure from the plurality of data fields; reading a plurality of data values from the selected field, each individual data value being read from a separate record; determining a plurality of field characteristics and a plurality of compaction criteria, the field characteristics being dependent on the data values within the selected field and the compaction criteria corresponding to a plurality of compaction methods wherein each compaction method has a relative priority level; identifying a first field characteristic from said plurality of field characteristics which satisfies a corresponding one of said compaction criteria, said first field characteristic corresponding to a first compaction method with the highest priority level of any remaining compaction methods which also have compaction criteria satisfied by a corresponding field characteristic; applying the first compaction method to the selected field to create a plurality of compacted data values, the compacted data values being reduced storage equivalents of the data values; and storing the compacted data values in a plurality of compacted records. 14. A database storage method according to claim 1 wherein the step of reading a plurality of data values comprises the steps of: determining an average sample interval; reading the data value from the field in one of the records; skipping at least one of the records; and repeating the steps of reading the data value and skipping until all of the records have been processed by one of the reading and skipping steps, such that an average of the records skipped is equal to the average sample interval. | 0.830068 |
8,325,999 | 1 | 3 | 1. A hardware computer-readable storage media having instructions stored thereon that when executed by a computing device cause the computing device to perform acts, the acts comprising: accessing a plurality of face images associated with a photo gallery comprising a plurality of photos, wherein a first photo from the plurality of photos comprises a first face image and a second face image from the plurality of face images; performing context-driven face recognition to identify individual face images at specified probabilities, the specified probabilities including a first specified probability that the first face image in the first photo is a specific person and a second specified probability that the second face image in the first photo is the specific person; receiving, from a user, an indication that the first face image in the first photo is the specific person; and responsive to receiving the indication from the user, decreasing the second specified probability that the second face image in the first photo is the specific person. | 1. A hardware computer-readable storage media having instructions stored thereon that when executed by a computing device cause the computing device to perform acts, the acts comprising: accessing a plurality of face images associated with a photo gallery comprising a plurality of photos, wherein a first photo from the plurality of photos comprises a first face image and a second face image from the plurality of face images; performing context-driven face recognition to identify individual face images at specified probabilities, the specified probabilities including a first specified probability that the first face image in the first photo is a specific person and a second specified probability that the second face image in the first photo is the specific person; receiving, from a user, an indication that the first face image in the first photo is the specific person; and responsive to receiving the indication from the user, decreasing the second specified probability that the second face image in the first photo is the specific person. 3. The hardware computer-readable storage media of claim 1 , further comprising adding, to a database of known images, individual face images for which the specified probabilities satisfy a predefined threshold. | 0.855281 |
9,208,784 | 14 | 17 | 14. The Transcription Engine of claim 1 further comprising administrative equipment coupled to the Transcription engine via a communication link and a communication network. | 14. The Transcription Engine of claim 1 further comprising administrative equipment coupled to the Transcription engine via a communication link and a communication network. 17. The method of claim 14 where the communication network is the Internet. | 0.97214 |
9,684,448 | 1 | 3 | 1. A user device for visually impaired users, the user device comprising: a touch screen configured to: receive touch input from a user; and present a touch-input interface for Braille input comprising a plurality of input regions defined by and separated by input region boundaries, each input region abutting at adjacent input region boundaries and being separated by a centrally-located portal region that is elongated and abuts at least a portion of each input region, wherein the plurality of input regions are configured for Braille input and arranged in rows and columns, and wherein the centrally-located portal region provides an area for dragging a finger as a buffer for selection of the plurality of input regions, such that the finger maintains contact with the touch screen and passes through the portal region while inputting a Braille character by selecting two or more of the plurality of input regions, and wherein contact is maintained until lifting the finger off the touch screen to trigger output of the Braille character based on the selected two or more of the plurality of input regions. | 1. A user device for visually impaired users, the user device comprising: a touch screen configured to: receive touch input from a user; and present a touch-input interface for Braille input comprising a plurality of input regions defined by and separated by input region boundaries, each input region abutting at adjacent input region boundaries and being separated by a centrally-located portal region that is elongated and abuts at least a portion of each input region, wherein the plurality of input regions are configured for Braille input and arranged in rows and columns, and wherein the centrally-located portal region provides an area for dragging a finger as a buffer for selection of the plurality of input regions, such that the finger maintains contact with the touch screen and passes through the portal region while inputting a Braille character by selecting two or more of the plurality of input regions, and wherein contact is maintained until lifting the finger off the touch screen to trigger output of the Braille character based on the selected two or more of the plurality of input regions. 3. The user device of claim 1 , wherein said plurality of input regions are configured for six-dot Braille input and in a 2×3 arrangement rows and columns. | 0.900895 |
9,563,688 | 1 | 4 | 1. A computer program product comprising a non-transitory computer readable medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to: obtain question information identifying extracted features of an input question and a first source of the input question; perform a clustering operation to cluster the input question with one or more other questions of a cluster based on a similarity of the extracted features of the input question to features of the one or more other questions; and perform an operation based on results of the clustering of the input question with the one or more other questions, wherein the operation comprises at least one of initiating a collaboration between the first source of the input question and a second source of another question in the cluster, initiating a communication between the first source and the second source, or a reporting of the results of the clustering operation to either the first source, the second source, or a third party, wherein: the input question is a question input to a Question and Answer (QA) system which processes the input question to generate an answer to the input question based on a corpus of information, and further generates one or more supporting evidence passages supporting the answer as being a correct answer for the input question, and the computer readable program further causes the computing device to perform the clustering operation to cluster the input question with the one or more other questions of a cluster at least by performing the clustering based on features of the input question, features of an answer, and features of the one or more supporting evidence passages, wherein the computer readable program further causes the computing device to, for the input question, generate one or more question (Q)-Answer (A)-evidence Passage (P) triplets, and wherein performing the clustering operation comprises performing clustering on features of each of the Question (Q), Answer (A), and evidence Passage (P) of the one or more QAP triplets with features of QAP triplets associated with questions in a plurality of previously processed questions to thereby identify the one or more other questions of the cluster with which the input question is clustered. | 1. A computer program product comprising a non-transitory computer readable medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to: obtain question information identifying extracted features of an input question and a first source of the input question; perform a clustering operation to cluster the input question with one or more other questions of a cluster based on a similarity of the extracted features of the input question to features of the one or more other questions; and perform an operation based on results of the clustering of the input question with the one or more other questions, wherein the operation comprises at least one of initiating a collaboration between the first source of the input question and a second source of another question in the cluster, initiating a communication between the first source and the second source, or a reporting of the results of the clustering operation to either the first source, the second source, or a third party, wherein: the input question is a question input to a Question and Answer (QA) system which processes the input question to generate an answer to the input question based on a corpus of information, and further generates one or more supporting evidence passages supporting the answer as being a correct answer for the input question, and the computer readable program further causes the computing device to perform the clustering operation to cluster the input question with the one or more other questions of a cluster at least by performing the clustering based on features of the input question, features of an answer, and features of the one or more supporting evidence passages, wherein the computer readable program further causes the computing device to, for the input question, generate one or more question (Q)-Answer (A)-evidence Passage (P) triplets, and wherein performing the clustering operation comprises performing clustering on features of each of the Question (Q), Answer (A), and evidence Passage (P) of the one or more QAP triplets with features of QAP triplets associated with questions in a plurality of previously processed questions to thereby identify the one or more other questions of the cluster with which the input question is clustered. 4. The computer program product of claim 1 , wherein the first source and second source are users, and wherein the operation comprises at least one of: sending targeted advertising, by a third party source, to the first source and the second source, providing information about the first source and the second source to the third party source, initiating a targeted processing of user information of the first source or second source to analyze other activities by the first source or second source, or identifying, by a government organization system, the first source and the second source as potentially engaged in illegal activity and targeting the first source and second source for further investigation of illegal activity. | 0.500684 |
9,449,079 | 7 | 8 | 7. The method of claim 6 , wherein: (f) includes displaying by the client application a visual indication that the first button has been selected; and (i) includes displaying by the client application a visual indication that the second button has been selected. | 7. The method of claim 6 , wherein: (f) includes displaying by the client application a visual indication that the first button has been selected; and (i) includes displaying by the client application a visual indication that the second button has been selected. 8. The method of claim 7 , further comprising: (j) displaying by the client application, concurrently with the visual indication that the second button has been selected, a visual indication that the first button was selected before the second button was selected. | 0.968661 |
9,098,599 | 2 | 4 | 2. The computer-implemented method of claim 1 , wherein the first set of search query suggestions are based, in part, on search history data that includes data from and related to previous search requests associated with the search query. | 2. The computer-implemented method of claim 1 , wherein the first set of search query suggestions are based, in part, on search history data that includes data from and related to previous search requests associated with the search query. 4. The computer-implemented method of claim 2 , wherein the search history data includes search queries from search requests that are previous to the search request that includes the search query, and further comprising storing the search request in the search history data. | 0.900146 |
8,606,803 | 1 | 5 | 1. A method for translating a relational database query into a multidimensional expression language (MDX) database query comprising: parsing a relational database query into one or more relational database query tokens; filtering zero or more of the one or more relational database query tokens based at least in part on business logic to create a set of filtered relational database query tokens, the filtering comprising: removing a relational database query token, from the one or more relational database query tokens, responsive to determining that the relational database query token corresponds to a field not supported by a multidimensional database and is associated with a return of a dataset that exceeds a threshold; identifying relevant metadata, from a metadata store, associated with metadata associated with the set of filtered relational database query tokens, the relevant metadata comprising current multidimensional metadata and trend related multidimensional metadata; translating at least some relational database query tokens of the set of filtered relational database query tokens into one or more work item query language (WIQL) tokens; retrieving a first group of one or more MDX tokens based at least in part on the relevant metadata; retrieving a second group of one or more MDX tokens based at least in part on the one or more WIQL tokens; arranging at least some of the one or more MDX tokens of the first group and at least some of the one or more MDX tokens of the second group based at least in part on the metadata associated with the set of filtered relational database query tokens; and generating one or more MDX database queries for trend related information and current information based at least in part on at least some of the arranged MDX tokens, at least some of the parsing, the filtering, the identifying, the translating, the retrieving a first group, the retrieving a second group, the arranging, and the generating implemented at least in part via a processing unit. | 1. A method for translating a relational database query into a multidimensional expression language (MDX) database query comprising: parsing a relational database query into one or more relational database query tokens; filtering zero or more of the one or more relational database query tokens based at least in part on business logic to create a set of filtered relational database query tokens, the filtering comprising: removing a relational database query token, from the one or more relational database query tokens, responsive to determining that the relational database query token corresponds to a field not supported by a multidimensional database and is associated with a return of a dataset that exceeds a threshold; identifying relevant metadata, from a metadata store, associated with metadata associated with the set of filtered relational database query tokens, the relevant metadata comprising current multidimensional metadata and trend related multidimensional metadata; translating at least some relational database query tokens of the set of filtered relational database query tokens into one or more work item query language (WIQL) tokens; retrieving a first group of one or more MDX tokens based at least in part on the relevant metadata; retrieving a second group of one or more MDX tokens based at least in part on the one or more WIQL tokens; arranging at least some of the one or more MDX tokens of the first group and at least some of the one or more MDX tokens of the second group based at least in part on the metadata associated with the set of filtered relational database query tokens; and generating one or more MDX database queries for trend related information and current information based at least in part on at least some of the arranged MDX tokens, at least some of the parsing, the filtering, the identifying, the translating, the retrieving a first group, the retrieving a second group, the arranging, and the generating implemented at least in part via a processing unit. 5. The method of claim 1 , comprising arranging at least some of the one or more relational database query tokens into at least one of a first bucket corresponding to filter operators, a second bucket corresponding to filter criteria, a third bucket corresponding to filter fields, or a fourth bucket corresponding to results fields. | 0.501497 |
9,542,474 | 1 | 6 | 1. A forensic system that acquires digital information recorded in a plurality of computers or a server and analyzes the acquired digital information, comprising: a processor, and a memory, wherein the memory has stored thereon instructions that, when executed by the processor, causes the processor to: cause a database to register a keyword for determining by a user whether a plurality of pieces of document information included in the digital information is related to a lawsuit; retrieve the keyword registered in the database from the document information; extract a sentence including the retrieved keyword from the document information; classify the extracted document information based on the determination result for each determination result, and analyze and select the keyword that appears commonly in the classified document information; calculate a score indicating a degree of relevance to the lawsuit based on a feature value extracted from the extracted sentence; and change a degree of highlighting of the sentence according to the score, wherein the degree of relevance is assigned to the keyword using a document information group for which it is determined by the user that the document information group is related to a lawsuit in the past; wherein the database registers the keyword when the degree of relevance exceeds a predetermined threshold value; and wherein the feature value is extracted based on an appearance frequency or an amount of transmission information related to the keyword. | 1. A forensic system that acquires digital information recorded in a plurality of computers or a server and analyzes the acquired digital information, comprising: a processor, and a memory, wherein the memory has stored thereon instructions that, when executed by the processor, causes the processor to: cause a database to register a keyword for determining by a user whether a plurality of pieces of document information included in the digital information is related to a lawsuit; retrieve the keyword registered in the database from the document information; extract a sentence including the retrieved keyword from the document information; classify the extracted document information based on the determination result for each determination result, and analyze and select the keyword that appears commonly in the classified document information; calculate a score indicating a degree of relevance to the lawsuit based on a feature value extracted from the extracted sentence; and change a degree of highlighting of the sentence according to the score, wherein the degree of relevance is assigned to the keyword using a document information group for which it is determined by the user that the document information group is related to a lawsuit in the past; wherein the database registers the keyword when the degree of relevance exceeds a predetermined threshold value; and wherein the feature value is extracted based on an appearance frequency or an amount of transmission information related to the keyword. 6. The forensic system according claim 1 , wherein the database analyzes the keyword for which it is determined by the user that the document information was related to a lawsuit in the past, and automatically registers the keyword based on an analysis result relating to the analyzed keyword. | 0.808497 |
8,548,938 | 2 | 7 | 2. A method for generating metadata comprising: providing (i) a configurable metamodel for modeling metadata that describes assets of an enterprise IT system, the metamodel including meta-classes and meta-properties, wherein the meta-classes and the meta-properties are modeled by imposing binary relations and inverse binary relations on the meta-classes and the meta-properties corresponding to a transitive closure of the binary relations and the inverse binary relations, and (ii) business rules on said metamodel for indicating that certain meta-properties have impact consequences, wherein the business rules are selected from the group consisting of arithmetic conversion rules, type restrictions on inherited properties, type restrictions on indirect properties, specifying metadata values as being required, specifying valid ranges for metadata values, specifying metadata values as being unique, lookup tables, naming conventions, and assignments of stewardship responsibilities, and combinations thereof; and determining which assets of the enterprise IT system are impacted by one or more specified assets, wherein the impact determination of selected from the group consisting of determining which applications and systems will be impacted if a specific server shuts down, determining who needs to be notified if a computer is replaced with a newer model, determining which applications and systems will be impacted if a specific employee is promoted, determining which data sources are fed by data from a specific database, either directly or indirectly, determining which data transformations are impacted if the data type of a specific database column is changed, and combinations thereof. | 2. A method for generating metadata comprising: providing (i) a configurable metamodel for modeling metadata that describes assets of an enterprise IT system, the metamodel including meta-classes and meta-properties, wherein the meta-classes and the meta-properties are modeled by imposing binary relations and inverse binary relations on the meta-classes and the meta-properties corresponding to a transitive closure of the binary relations and the inverse binary relations, and (ii) business rules on said metamodel for indicating that certain meta-properties have impact consequences, wherein the business rules are selected from the group consisting of arithmetic conversion rules, type restrictions on inherited properties, type restrictions on indirect properties, specifying metadata values as being required, specifying valid ranges for metadata values, specifying metadata values as being unique, lookup tables, naming conventions, and assignments of stewardship responsibilities, and combinations thereof; and determining which assets of the enterprise IT system are impacted by one or more specified assets, wherein the impact determination of selected from the group consisting of determining which applications and systems will be impacted if a specific server shuts down, determining who needs to be notified if a computer is replaced with a newer model, determining which applications and systems will be impacted if a specific employee is promoted, determining which data sources are fed by data from a specific database, either directly or indirectly, determining which data transformations are impacted if the data type of a specific database column is changed, and combinations thereof. 7. The method of claim 2 whereby assets of the enterprise IT system include software applications. | 0.625954 |
7,580,926 | 26 | 27 | 26. The method of claim 24 , further comprising: determining one or more tokens from one or more documents, each token comprising a token alphanumerical string that comprises one or more words and appears at least once in the documents; and determining a token order among the tokens. | 26. The method of claim 24 , further comprising: determining one or more tokens from one or more documents, each token comprising a token alphanumerical string that comprises one or more words and appears at least once in the documents; and determining a token order among the tokens. 27. The method of claim 26 , wherein generating a category signature vector that represents a category comprises: for each of the aliases of the category, generating an alias vector representing the alias; and combining the alias vectors to obtain the category signature vector. | 0.916717 |
8,676,827 | 21 | 22 | 21. The system of claim 18 , wherein to weight the vectors, the processor is further configured to: weight the features of the received query with w(f, Q)=(1+log #(f, Q))·idf(f), where #(f, Q) comprises a number of times feature f occurs in query Q and idf(f) comprises an inverse document frequency for feature f in an ad corpus; and weight the features of the expanded queries (Q′) stored in the query feature index with w ( f , E ( Q ′ ) ) = ( 1 + log ∑ D ∈ Results ( Q ′ ) # ( f , D ) ) · idf ( f ) , where E(Q′) comprises the search results-expanded version of query Q′, Results(Q′) comprises a set of top search results for query Q′, and #(f, D) comprises a number of times that feature f occurs in search result D. | 21. The system of claim 18 , wherein to weight the vectors, the processor is further configured to: weight the features of the received query with w(f, Q)=(1+log #(f, Q))·idf(f), where #(f, Q) comprises a number of times feature f occurs in query Q and idf(f) comprises an inverse document frequency for feature f in an ad corpus; and weight the features of the expanded queries (Q′) stored in the query feature index with w ( f , E ( Q ′ ) ) = ( 1 + log ∑ D ∈ Results ( Q ′ ) # ( f , D ) ) · idf ( f ) , where E(Q′) comprises the search results-expanded version of query Q′, Results(Q′) comprises a set of top search results for query Q′, and #(f, D) comprises a number of times that feature f occurs in search result D. 22. The system of claim 21 , wherein the processor is further configured to: normalizes, under an I 2 norm, the vectors of the received and expanded queries to a predetermined length within each feature type. | 0.936624 |
10,061,766 | 4 | 5 | 4. The method of claim 3 , the method comprising: prior to the searching, adjusting the segment collection in a rule-based fashion; and wherein the searching is performed using the adjusted segment collection. | 4. The method of claim 3 , the method comprising: prior to the searching, adjusting the segment collection in a rule-based fashion; and wherein the searching is performed using the adjusted segment collection. 5. The method of claim 4 , the adjusting comprising: recognizing a compound statement in a particular textual segment of the textual segments; transforming the compound statement into two or more separate segments; and causing the two or more separate segments to replace the particular textual segment in the segment collection. | 0.947611 |
8,287,436 | 9 | 13 | 9. An apparatus comprising: a processor; and a memory storing instructions that, when executed by the processor, cause the apparatus at least to perform operations comprising: prompting for first input to identify a plurality of activities and a number of repetitions of each of the activities; for each of the activities, prompting for second input specifying a duration and intensity, and of whether to automatically proceed to a subsequent one of the activities upon determining completion of a previous one of the activities; receiving the first input and the second input; and generating an electronic training script defining a sequence in which to perform the plurality of activities. | 9. An apparatus comprising: a processor; and a memory storing instructions that, when executed by the processor, cause the apparatus at least to perform operations comprising: prompting for first input to identify a plurality of activities and a number of repetitions of each of the activities; for each of the activities, prompting for second input specifying a duration and intensity, and of whether to automatically proceed to a subsequent one of the activities upon determining completion of a previous one of the activities; receiving the first input and the second input; and generating an electronic training script defining a sequence in which to perform the plurality of activities. 13. The apparatus recited in claim 9 , wherein the electronic training script corresponds to an anchor date. | 0.840237 |
8,290,272 | 8 | 10 | 8. A method of creating a document template for capturing data from a document image, the method comprising: identifying at least one repetitive structure to be encountered in the document image from which data is to be captured; and storing structure properties as the document template to process the repetitive structure in the document image, wherein the structure properties are described once in the document template, regardless of a number of occurrences of the repetitive structure in the document image. | 8. A method of creating a document template for capturing data from a document image, the method comprising: identifying at least one repetitive structure to be encountered in the document image from which data is to be captured; and storing structure properties as the document template to process the repetitive structure in the document image, wherein the structure properties are described once in the document template, regardless of a number of occurrences of the repetitive structure in the document image. 10. The method of claim 8 , wherein the structure properties comprise attributes of the or each repetitive structure. | 0.891667 |
8,745,725 | 5 | 15 | 5. The system of claim 1 , wherein said transfer determining module configured to determine that a computing device, that was presenting an item, has been transferred from a first user to a second user, the transfer determining module including at least a visual cue detecting module configured to determine that the computing device has been transferred from the first user to the second user when the visual cue detecting module at least detects presence or absence of one or more visual cues in proximate vicinity of the computing device that when detected as occurring at least suggested transfer of the computing device between the first and second users, the visual cue detecting module including at least a gesture detecting module configured to detect the presence or absence of the one or more visual cues in the proximate vicinity of the computing device when the gesture detecting module at least detects visually one or more gestures exhibited by the first user that when detected as occurring at least suggested transfer of the computing device from the first user to the second user at least in part by the first user moving the computing device at least in part with the one or more gestures comprises: a particular movement detecting module configured to determine that the computing device has been transferred from the first user to the second user when the particular movement detecting module at least detects that the computing device has moved in a particular manner that when detected as occurring at least suggested that the computing device has been transferred between the first and second users. | 5. The system of claim 1 , wherein said transfer determining module configured to determine that a computing device, that was presenting an item, has been transferred from a first user to a second user, the transfer determining module including at least a visual cue detecting module configured to determine that the computing device has been transferred from the first user to the second user when the visual cue detecting module at least detects presence or absence of one or more visual cues in proximate vicinity of the computing device that when detected as occurring at least suggested transfer of the computing device between the first and second users, the visual cue detecting module including at least a gesture detecting module configured to detect the presence or absence of the one or more visual cues in the proximate vicinity of the computing device when the gesture detecting module at least detects visually one or more gestures exhibited by the first user that when detected as occurring at least suggested transfer of the computing device from the first user to the second user at least in part by the first user moving the computing device at least in part with the one or more gestures comprises: a particular movement detecting module configured to determine that the computing device has been transferred from the first user to the second user when the particular movement detecting module at least detects that the computing device has moved in a particular manner that when detected as occurring at least suggested that the computing device has been transferred between the first and second users. 15. The system of claim 5 , wherein said particular movement detecting module comprises: a vibration detecting module configured to detect that the computing device has moved in the particular manner when the vibration detecting module at least detects that the computing device is not vibrating in a manner that matches with a signature vibration pattern that is associated with the first user. | 0.909528 |
7,831,437 | 30 | 35 | 30. A system for generating an outline for managing a legal proceeding, comprising: at least one database storing an outline library, the outline library comprising a plurality of categorization entries; and a terminal device that is operatively coupled to the at least one database via a communication link; wherein the terminal device is configured to: display, via a display device associated with the terminal device, one or more queries relating to a legal proceeding; and display, via the display device, an outline generated based in part on information received in response to the one or more queries, wherein the outline includes one or more of the plurality of categorization entries from the outline library relevant to the legal proceeding. | 30. A system for generating an outline for managing a legal proceeding, comprising: at least one database storing an outline library, the outline library comprising a plurality of categorization entries; and a terminal device that is operatively coupled to the at least one database via a communication link; wherein the terminal device is configured to: display, via a display device associated with the terminal device, one or more queries relating to a legal proceeding; and display, via the display device, an outline generated based in part on information received in response to the one or more queries, wherein the outline includes one or more of the plurality of categorization entries from the outline library relevant to the legal proceeding. 35. The system of claim 30 , wherein one or more of the plurality of categorization entries in the outline library correspond to areas of law. | 0.817481 |
8,131,559 | 1 | 9 | 1. A method of accepting documents for publication at a server wherein shares in a first document are traded using tokens in a virtual market place, and participants in the virtual market place each own one or more tokens in the virtual market place, the method comprising: receiving from a submitting participant the first document; receiving a request from one or more purchasing participants to purchase shares in the first document, subtracting, at the server, one or more tokens from an account of the one or more purchasing participants and adding shares in the first document to the account of the one or more purchasing participants; accepting the first document for publication after a predetermined amount of shares in the first document are purchased in a predetermined period; and adding tokens to an account of at least one participant that owns shares in a second document cited in the first document. | 1. A method of accepting documents for publication at a server wherein shares in a first document are traded using tokens in a virtual market place, and participants in the virtual market place each own one or more tokens in the virtual market place, the method comprising: receiving from a submitting participant the first document; receiving a request from one or more purchasing participants to purchase shares in the first document, subtracting, at the server, one or more tokens from an account of the one or more purchasing participants and adding shares in the first document to the account of the one or more purchasing participants; accepting the first document for publication after a predetermined amount of shares in the first document are purchased in a predetermined period; and adding tokens to an account of at least one participant that owns shares in a second document cited in the first document. 9. The method according to claim 1 , wherein the method further comprises the step of receiving a positive or negative review of the first document from a reviewing participant. | 0.904531 |
9,672,555 | 11 | 14 | 11. A computer-implemented method of extracting a quote regarding a relevant topic from customer reviews for a particular item, the method comprising executing instructions in a computer system to perform the operations of: receiving customer reviews for a category of items from a plurality of customers, wherein the category of items encompasses a particular item and items of a similar type; aggregating, by the computer system, the customer reviews for the category of items; parsing, by the computer system, a plurality of sentences from the customer reviews, wherein the parsing comprises breaking compound sentences in the customer reviews based on one or more of commas, coordinating conjunctions, or transition terms; classifying, by the computer system, the plurality of sentences by sentiment by utilizing a logistic regression classifier trained using sentiment scores of terms generated based on sentences contained in training data and manually labeled as to sentiment, wherein positive, negative and mixed sentiment scores of the terms are used as positive coefficients in the logistic regression classifier and neutral sentiment scores of the terms are used as negative coefficients in the logistic regression classifier; removing, by the computer system, those sentences having a neutral sentiment from the plurality of sentences; generating, by the computer system, a list of topics from the plurality of sentences utilizing latent Dirichlet allocation; assigning individual sentences in the plurality of sentences to a topic in the list of topics; selecting, by the computer system, the relevant topic from the list of topics for the particular item, wherein the relevant topic comprises the topic from the list of topics assigned to the most sentences parsed from the customer reviews regarding the particular item; selecting, by the computer system, a representative sentence from the plurality of sentences assigned to the relevant topic and parsed from the customer reviews regarding the particular item, the representative sentence having a highest relevance to the relevant topic and expressing a majority sentiment from among the plurality of sentences assigned to the relevant topic and parsed from the customer reviews regarding the particular item; and sending, by the computer system, the selected representative sentence to a customer computing device, wherein the selected representative sentence is presented to another customer on the customer computing device. | 11. A computer-implemented method of extracting a quote regarding a relevant topic from customer reviews for a particular item, the method comprising executing instructions in a computer system to perform the operations of: receiving customer reviews for a category of items from a plurality of customers, wherein the category of items encompasses a particular item and items of a similar type; aggregating, by the computer system, the customer reviews for the category of items; parsing, by the computer system, a plurality of sentences from the customer reviews, wherein the parsing comprises breaking compound sentences in the customer reviews based on one or more of commas, coordinating conjunctions, or transition terms; classifying, by the computer system, the plurality of sentences by sentiment by utilizing a logistic regression classifier trained using sentiment scores of terms generated based on sentences contained in training data and manually labeled as to sentiment, wherein positive, negative and mixed sentiment scores of the terms are used as positive coefficients in the logistic regression classifier and neutral sentiment scores of the terms are used as negative coefficients in the logistic regression classifier; removing, by the computer system, those sentences having a neutral sentiment from the plurality of sentences; generating, by the computer system, a list of topics from the plurality of sentences utilizing latent Dirichlet allocation; assigning individual sentences in the plurality of sentences to a topic in the list of topics; selecting, by the computer system, the relevant topic from the list of topics for the particular item, wherein the relevant topic comprises the topic from the list of topics assigned to the most sentences parsed from the customer reviews regarding the particular item; selecting, by the computer system, a representative sentence from the plurality of sentences assigned to the relevant topic and parsed from the customer reviews regarding the particular item, the representative sentence having a highest relevance to the relevant topic and expressing a majority sentiment from among the plurality of sentences assigned to the relevant topic and parsed from the customer reviews regarding the particular item; and sending, by the computer system, the selected representative sentence to a customer computing device, wherein the selected representative sentence is presented to another customer on the customer computing device. 14. The computer-implemented method of claim 11 , wherein selecting the representative sentence comprises utilizing the LexRank algorithm with term frequency-inverse document frequency weighting to select the sentence from the plurality of sentences assigned to the relevant topic and parsed from customer reviews regarding the particular item having a highest relevance to the relevant topic. | 0.520732 |
8,037,075 | 17 | 25 | 17. A computer program product comprising one or more computer-readable storage media having computer-executable instructions for implementing the method recited in claim 1 . | 17. A computer program product comprising one or more computer-readable storage media having computer-executable instructions for implementing the method recited in claim 1 . 25. A computer program product as recited in claim 17 , wherein the search is performed dynamically while search input is still being entered such that the plurality of documents are provided as results while search input is still being entered. | 0.922321 |
7,788,293 | 1 | 4 | 1. A system for generating structured data, comprising: a processor for executing computer program modules; and a computer-readable storage medium storing executable computer program modules comprising: a data acquisition module for receiving an electronic document containing unstructured data describing facts about business hours of an enterprise; a data extraction module for extracting the unstructured data describing facts about the business hours of the enterprise from the electronic document; and a data parsing module for receiving the extracted unstructured data and creating structured representations of the facts about the business hours of the enterprise described by the unstructured data, wherein the data parsing module comprises: a value normalization module for receiving a string describing facts about the business hours of the enterprise extracted from the electronic document and for: parsing the string to classify symbols within the string, the parsing classifying symbols within the string as representing days of the week and classifying symbols within the string as representing times of the enterprise's business hours; collapsing the symbols representing days of the week in the string to form a collapsed string, the collapsed string having a symbol representing a sequence of days and the symbols representing times of the enterprise's business hours; interpreting the symbols within the collapsed string to determine business hours for the enterprise on the days in the sequence; wherein the structured representations of the facts about the business hours of the enterprise comprise a vector describing the symbol representing the sequence of days using bits indicating days of the week on which the enterprise is open. | 1. A system for generating structured data, comprising: a processor for executing computer program modules; and a computer-readable storage medium storing executable computer program modules comprising: a data acquisition module for receiving an electronic document containing unstructured data describing facts about business hours of an enterprise; a data extraction module for extracting the unstructured data describing facts about the business hours of the enterprise from the electronic document; and a data parsing module for receiving the extracted unstructured data and creating structured representations of the facts about the business hours of the enterprise described by the unstructured data, wherein the data parsing module comprises: a value normalization module for receiving a string describing facts about the business hours of the enterprise extracted from the electronic document and for: parsing the string to classify symbols within the string, the parsing classifying symbols within the string as representing days of the week and classifying symbols within the string as representing times of the enterprise's business hours; collapsing the symbols representing days of the week in the string to form a collapsed string, the collapsed string having a symbol representing a sequence of days and the symbols representing times of the enterprise's business hours; interpreting the symbols within the collapsed string to determine business hours for the enterprise on the days in the sequence; wherein the structured representations of the facts about the business hours of the enterprise comprise a vector describing the symbol representing the sequence of days using bits indicating days of the week on which the enterprise is open. 4. The system of claim 1 , wherein parsing the string comprises classifying symbols within the string as representing separators that separate other symbols in the string. | 0.82622 |
10,055,495 | 16 | 22 | 16. A search module for information searches using a computer device associated with an information presentation area, wherein said search module comprises: a search module GUI client configured to: display a search window on the presentation area, the search window comprising at least one field for: presenting search parameters including gaze search parameters and non gaze search parameters for a user, the gaze search parameters: representing a predefined set of specific mental conditions experienced by the user when the user viewed presented information during a certain period of time prior to displaying the search window; and being based on at least one of a duration of blinks and a pupil size of the user measured during the certain period of time when the user viewed the presented information; and displaying the gaze search parameters as selectable posts in the search window, the selectable posts comprising labels corresponding to the predefined set of specific mental conditions; and provide signals corresponding to specific query searches to a search engine for execution of the specific query searches on the computer device and/or on information hosts connectable to the computer device via networks, by using a selected combination of at least one of the gaze search parameters and at least one of the non gaze search parameters. | 16. A search module for information searches using a computer device associated with an information presentation area, wherein said search module comprises: a search module GUI client configured to: display a search window on the presentation area, the search window comprising at least one field for: presenting search parameters including gaze search parameters and non gaze search parameters for a user, the gaze search parameters: representing a predefined set of specific mental conditions experienced by the user when the user viewed presented information during a certain period of time prior to displaying the search window; and being based on at least one of a duration of blinks and a pupil size of the user measured during the certain period of time when the user viewed the presented information; and displaying the gaze search parameters as selectable posts in the search window, the selectable posts comprising labels corresponding to the predefined set of specific mental conditions; and provide signals corresponding to specific query searches to a search engine for execution of the specific query searches on the computer device and/or on information hosts connectable to the computer device via networks, by using a selected combination of at least one of the gaze search parameters and at least one of the non gaze search parameters. 22. The search module according to claim 16 , wherein the gaze search parameters reflect a period of time when the user viewed an image, the gaze search parameters allowing the user to define a specific query search by selecting whether to include or exclude a specific gaze search parameter in the specific query search. | 0.790743 |
8,438,180 | 1 | 2 | 1. A method for searching a database of Objects, in which each Object is associated with a plurality of Attributes, each Attribute is associated with a Kind, and each Kind is associated with a plurality of Attributes, comprising: performing processing associated with receiving, utilizing a computer, search criteria from a user, the search criteria comprising an Attribute; performing processing associated with creating, utilizing the computer, a Nonceattribute using the search criteria performing processing associated with inputting, utilizing the computer, a search utilizing the Nonceattribute; performing processing associated with identifying, utilizing the computer, all Objects having the Nonceattribute; performing processing associated with identifying, utilizing the computer, all Attributes associated with the Objects; performing processing associated with identifying, utilizing the computer, all Kinds associated with the Attributes; and performing processing associated with displaying, utilizing the computer, at least a portion of the Kinds and at least a portion of the Attributes in a search result display, the search result display presented in a mutable hierarchical format independent of a location of an object in a default hierarchical structure. | 1. A method for searching a database of Objects, in which each Object is associated with a plurality of Attributes, each Attribute is associated with a Kind, and each Kind is associated with a plurality of Attributes, comprising: performing processing associated with receiving, utilizing a computer, search criteria from a user, the search criteria comprising an Attribute; performing processing associated with creating, utilizing the computer, a Nonceattribute using the search criteria performing processing associated with inputting, utilizing the computer, a search utilizing the Nonceattribute; performing processing associated with identifying, utilizing the computer, all Objects having the Nonceattribute; performing processing associated with identifying, utilizing the computer, all Attributes associated with the Objects; performing processing associated with identifying, utilizing the computer, all Kinds associated with the Attributes; and performing processing associated with displaying, utilizing the computer, at least a portion of the Kinds and at least a portion of the Attributes in a search result display, the search result display presented in a mutable hierarchical format independent of a location of an object in a default hierarchical structure. 2. The method of claim 1 , further comprising: performing processing associated with rearranging, utilizing the computer, the search result display upon a command from the user. | 0.756868 |
7,992,131 | 19 | 30 | 19. A computer programmed to convert assembly language instructions into object code, the computer comprising: means for receiving invocation of a first macro and a variable as an argument for the first macro; means, coupled to said means for receiving, for automatically identifying a second macro to be invoked to perform, on said variable, an operation identified by the first macro; wherein the first macro and the second macro have different names; and wherein the second macro is defined within said computer to comprise first assembler instructions for use with at least variables of an element type identical to a corresponding type of the variable; means for automatically expanding the second macro, using at least said first assembler instructions to generate second assembler instructions in an assembly language; and means for using an assembler for said assembly language to generate object code, based at least on the second assembler instructions; wherein the second assembler instructions comprise at least one opcode which depends at least on said corresponding type of the variable. | 19. A computer programmed to convert assembly language instructions into object code, the computer comprising: means for receiving invocation of a first macro and a variable as an argument for the first macro; means, coupled to said means for receiving, for automatically identifying a second macro to be invoked to perform, on said variable, an operation identified by the first macro; wherein the first macro and the second macro have different names; and wherein the second macro is defined within said computer to comprise first assembler instructions for use with at least variables of an element type identical to a corresponding type of the variable; means for automatically expanding the second macro, using at least said first assembler instructions to generate second assembler instructions in an assembly language; and means for using an assembler for said assembly language to generate object code, based at least on the second assembler instructions; wherein the second assembler instructions comprise at least one opcode which depends at least on said corresponding type of the variable. 30. The computer of claim 19 wherein: said assembly language lacks a common instruction to perform an operation on operands that differ at least in size. | 0.861913 |
9,946,712 | 2 | 3 | 2. The computer-implemented method of claim 1 , wherein the identified audio data sub-period is a predetermined period of the audio data prior to the temporal point until the temporal point. | 2. The computer-implemented method of claim 1 , wherein the identified audio data sub-period is a predetermined period of the audio data prior to the temporal point until the temporal point. 3. The computer-implemented method of claim 2 , wherein the user input includes one or more keystrokes of a keyboard. | 0.97234 |
9,224,396 | 1 | 5 | 1. A method comprising: establishing a call connection between at least a first and a second terminal; monitoring, by at least the first terminal, a conversation during the call in order to detect at least one predetermined context-related keyword received in one of the first or the second terminal and repeated in the other of the first or the second terminal; and in response to detecting at least one repeated predetermined context-related keyword, providing an indication about the detected context-related keyword to a user of at least the first terminal, said indication enabling opening an application linked to said context-related keyword. | 1. A method comprising: establishing a call connection between at least a first and a second terminal; monitoring, by at least the first terminal, a conversation during the call in order to detect at least one predetermined context-related keyword received in one of the first or the second terminal and repeated in the other of the first or the second terminal; and in response to detecting at least one repeated predetermined context-related keyword, providing an indication about the detected context-related keyword to a user of at least the first terminal, said indication enabling opening an application linked to said context-related keyword. 5. The method according to claim 1 , wherein the step of providing an indication about the detected context-related keyword to a user of at least the first terminal comprises providing a user interface notification to the user about the detected context-related keyword, and prompting the user to activate the application linked to said context-related keyword. | 0.756739 |
7,890,525 | 1 | 9 | 1. A method for automatically providing foreign language abbreviation translation in an instant messaging system, comprising: identifying, by using a computer, at least one foreign language abbreviation translation database in response to a user indicated source culture, wherein said identified foreign abbreviation translation database stores a plurality of abbreviation translations retrievably associated with corresponding ones of a plurality of foreign language abbreviations, wherein said foreign language abbreviations are foreign language abbreviations frequently used by people from said user indicated source culture; locating a candidate term that is possibly a foreign language abbreviation in an instant message input from said user; comparing said candidate term with said plurality of foreign language abbreviations stored in said identified foreign language abbreviation translation database, wherein said comparing said candidate term with said plurality of foreign language abbreviations includes obtaining a transliteration of said candidate term, said obtaining said transliteration including changing individual characters of said candidate term into characters of an alphabet used to represent said plurality of abbreviation translations to provide a phonetic representation of said candidate term, and comparing said transliteration of said candidate term with said plurality of abbreviation translations; in the event that said candidate term matches one of said plurality of foreign language abbreviations stored in said identified foreign language abbreviation translation database, retrieving and displaying one of said plurality of abbreviation translations corresponding to said matching one of said plurality of foreign language abbreviations; adding said candidate term to said instant messaging session, wherein said adding is based on said locating, wherein said locating said candidate term that is possibly a foreign language abbreviation in said instant message input from said user is in response to an indication from said user; and wherein said displaying said one of said plurality of abbreviation translations corresponding to said matching one of said plurality of foreign language abbreviations is within an instant messaging session graphical user interface. | 1. A method for automatically providing foreign language abbreviation translation in an instant messaging system, comprising: identifying, by using a computer, at least one foreign language abbreviation translation database in response to a user indicated source culture, wherein said identified foreign abbreviation translation database stores a plurality of abbreviation translations retrievably associated with corresponding ones of a plurality of foreign language abbreviations, wherein said foreign language abbreviations are foreign language abbreviations frequently used by people from said user indicated source culture; locating a candidate term that is possibly a foreign language abbreviation in an instant message input from said user; comparing said candidate term with said plurality of foreign language abbreviations stored in said identified foreign language abbreviation translation database, wherein said comparing said candidate term with said plurality of foreign language abbreviations includes obtaining a transliteration of said candidate term, said obtaining said transliteration including changing individual characters of said candidate term into characters of an alphabet used to represent said plurality of abbreviation translations to provide a phonetic representation of said candidate term, and comparing said transliteration of said candidate term with said plurality of abbreviation translations; in the event that said candidate term matches one of said plurality of foreign language abbreviations stored in said identified foreign language abbreviation translation database, retrieving and displaying one of said plurality of abbreviation translations corresponding to said matching one of said plurality of foreign language abbreviations; adding said candidate term to said instant messaging session, wherein said adding is based on said locating, wherein said locating said candidate term that is possibly a foreign language abbreviation in said instant message input from said user is in response to an indication from said user; and wherein said displaying said one of said plurality of abbreviation translations corresponding to said matching one of said plurality of foreign language abbreviations is within an instant messaging session graphical user interface. 9. The method of claim 1 , wherein said comparing said candidate term with said plurality of foreign language abbreviations stored in said identified foreign language abbreviation translation database includes generating a digital sound wave representation of how said transliteration of said candidate term sounds, and comparing said digital sound wave representation of how said transliteration of said candidate term sounds with digital sound wave representations of how each of said plurality of foreign language abbreviations stored in said identified foreign language abbreviation translation database sound. | 0.667749 |
8,924,385 | 1 | 4 | 1. A method for providing a query-based diagrammatic presentation of data, the method comprising: generating a filter element that defines a set of groups and includes a set of declarative queries that define information to be included in the set of groups; applying the filter element to a data source, including performing the set of declarative queries on the data source, thereby generating a set of query results for each of the groups; generating a diagram including a set of shapes representing the set of groups, and a set of nodes nested completely inside of each of the shapes, wherein the nodes for each respective group are determined based on the query results for the groups, respectively; and wherein the applying the filter element and the generating a diagram are performed by at least one computer processor. | 1. A method for providing a query-based diagrammatic presentation of data, the method comprising: generating a filter element that defines a set of groups and includes a set of declarative queries that define information to be included in the set of groups; applying the filter element to a data source, including performing the set of declarative queries on the data source, thereby generating a set of query results for each of the groups; generating a diagram including a set of shapes representing the set of groups, and a set of nodes nested completely inside of each of the shapes, wherein the nodes for each respective group are determined based on the query results for the groups, respectively; and wherein the applying the filter element and the generating a diagram are performed by at least one computer processor. 4. The method of claim 1 , wherein the data source comprises a set of computer code. | 0.901176 |
9,619,642 | 1 | 4 | 1. A method for generating, by a processor, an image for use in a test to tell computers and humans apart comprising: receiving, by the processor, a selection of a range of characters corresponding to code points from Unicode plane 0, the selected range of characters at least including the 8-bit ASCII character range; receiving, by the processor, a selection of a font for the selected range of characters; testing, by the processor, each character in the selected range of characters, characters of the selected range of characters that pass the testing forming a challenge character subset, the testing comprising: determining if the character has a glyph in the selected font; determining if the character is a whitespace character; determining if the character leaves a visible impression; receiving, by the processor, a selection of a number of challenge characters; generating, in response to receiving a request for an image, by the processor: a challenge comprising a plurality of selected characters from the challenge character subset, the number of characters in the challenge equaling the selected number of challenge characters, and a response comprising a plurality of characters from the challenge character subset, the response having a character count that is greater than the selected number of challenge characters and the response including the characters in the challenge, each character in the response having a font size selected from a range having a predetermined maximum, the generated image comprising the generated challenge and the generated response; and calculating, by the processor, a solution threshold, the solution threshold being a value based on the selected font size of each of the characters in the challenge included in the response and a predetermined distance from the locations of each of the characters in the challenge included in the response. | 1. A method for generating, by a processor, an image for use in a test to tell computers and humans apart comprising: receiving, by the processor, a selection of a range of characters corresponding to code points from Unicode plane 0, the selected range of characters at least including the 8-bit ASCII character range; receiving, by the processor, a selection of a font for the selected range of characters; testing, by the processor, each character in the selected range of characters, characters of the selected range of characters that pass the testing forming a challenge character subset, the testing comprising: determining if the character has a glyph in the selected font; determining if the character is a whitespace character; determining if the character leaves a visible impression; receiving, by the processor, a selection of a number of challenge characters; generating, in response to receiving a request for an image, by the processor: a challenge comprising a plurality of selected characters from the challenge character subset, the number of characters in the challenge equaling the selected number of challenge characters, and a response comprising a plurality of characters from the challenge character subset, the response having a character count that is greater than the selected number of challenge characters and the response including the characters in the challenge, each character in the response having a font size selected from a range having a predetermined maximum, the generated image comprising the generated challenge and the generated response; and calculating, by the processor, a solution threshold, the solution threshold being a value based on the selected font size of each of the characters in the challenge included in the response and a predetermined distance from the locations of each of the characters in the challenge included in the response. 4. The method of claim 1 , wherein the selected range of characters further includes characters from Unicode points 0-4095. | 0.932119 |
7,853,577 | 12 | 14 | 12. A system, comprising: a processor; a memory coupled to the processor for storing context data; a context module to receive from a client, context data associated with a context and a user, the context data including information indicative of a category of offerings in a network-based marketplace, the context data identifying at least one category of products or services, the context module further to automatically discover context attributes associated with the context, the context attributes being automatically discovered by processing attribute data received from a plurality of other users, the attribute data being related to the at least one category of products or services, and the context module to associate the context data and the context attributes with a user identifier corresponding to the user; a filtering module to retrieve data associated with the context and to filter the data according to the context data and the context attributes, the filtering module being further configured to filter the data according to one or more ratings associated with products or services included in the result data; and a results module to create result data relevant to the user identified by the user identifier and to communicate the result data to the client, the context module, the filtering module, and the results module being executable by the processor. | 12. A system, comprising: a processor; a memory coupled to the processor for storing context data; a context module to receive from a client, context data associated with a context and a user, the context data including information indicative of a category of offerings in a network-based marketplace, the context data identifying at least one category of products or services, the context module further to automatically discover context attributes associated with the context, the context attributes being automatically discovered by processing attribute data received from a plurality of other users, the attribute data being related to the at least one category of products or services, and the context module to associate the context data and the context attributes with a user identifier corresponding to the user; a filtering module to retrieve data associated with the context and to filter the data according to the context data and the context attributes, the filtering module being further configured to filter the data according to one or more ratings associated with products or services included in the result data; and a results module to create result data relevant to the user identified by the user identifier and to communicate the result data to the client, the context module, the filtering module, and the results module being executable by the processor. 14. The system of claim 12 , wherein the results module is to group the result data according to a context data identifier. | 0.733766 |
8,601,031 | 1 | 6 | 1. A method comprising: receiving, via a communication module, a non-linear content identifier request for non-linear content, wherein the non-linear content identifier request comprises a linear content identifier associated with linear content selected by a viewer and location data associated with the viewer; identifying, via a matching module, linear content metadata associated with the linear content identifier of the non-linear content identifier request, the linear content metadata representing at least one metadata keyword; and identifying, via the matching module, a relationship between the at least one metadata keyword and at least one non-linear content keyword bid on by one or more advertisers associated with a time slot. | 1. A method comprising: receiving, via a communication module, a non-linear content identifier request for non-linear content, wherein the non-linear content identifier request comprises a linear content identifier associated with linear content selected by a viewer and location data associated with the viewer; identifying, via a matching module, linear content metadata associated with the linear content identifier of the non-linear content identifier request, the linear content metadata representing at least one metadata keyword; and identifying, via the matching module, a relationship between the at least one metadata keyword and at least one non-linear content keyword bid on by one or more advertisers associated with a time slot. 6. The method of claim 1 , wherein the relationship identifies a partial match between the at least one metadata keyword and the at least one non-linear content keyword. | 0.669922 |
5,559,926 | 19 | 21 | 19. A method for training a speech recognition system to recognize a user's utterance, comprising the steps of: providing an utterance to the speech recognition system while in a training mode; monitoring a bio-signal derived from the user, said bio-signal being related to autonomic activity; and using said bio-signal to identify said utterance for retraining. | 19. A method for training a speech recognition system to recognize a user's utterance, comprising the steps of: providing an utterance to the speech recognition system while in a training mode; monitoring a bio-signal derived from the user, said bio-signal being related to autonomic activity; and using said bio-signal to identify said utterance for retraining. 21. The method of claim 19, wherein said step of using said bio-signal comprises re-providing said utterance for retraining when said bio-signal is below an upper threshold. | 0.502874 |
8,332,406 | 6 | 9 | 6. A non-transitory machine-readable storage medium comprising instructions which, when executed, cause the machine to: access a series of play events comprising real-time media item listening behavior, wherein the play events are associated with a user and a unique sequential identifier, wherein play events comprise instances of media items associated with the user being purchased, played, replayed, tagged, and skipped; compare the play event identifiers to previously retrieved play event identifiers to determine whether the play events are new; store one or more new play events in an event stack wherein the event stack has a predetermine stack limit; arrange real-time media item listening behavior corresponding to the new play events in one or more data structures, wherein the data structures are configured to correlate real-time media item listening behavior and to maintain a temporal context for real-time media item listening behavior; increment counters in the data structure associated with the arranged real-time media item listening behavior upon addition of the real-time media item listening behavior to the data structure, wherein the data structure comprises a plurality of hash tables for identifying and tracking media item attributes including: artist, users, tracks played, user last track played, correlations between different artists with respect to users' listening activity and temporal context of the users' listening activity; display a visualization of the arranged real-time media item listening behavior responsive to the arrangement of the real-time media item listening behavior in the data structure, wherein displaying comprises: adding a plurality of nodes representing artists and a plurality of edges representing consecutive play events of the same artist, each edge connecting a first node of the plurality of nodes to a second node of the plurality of nodes correlated to the first node, each of the plurality of nodes assigned a velocity, a position, a net force, and an identifier associated with one or more media items, and each of the plurality of edges assigned a net spring force; applying a damping factor; and repeatedly updating the position of each of the plurality of nodes based at least on the net force and the velocity assigned to each of the plurality of nodes, the net spring force assigned to each of the plurality of edges, and the damping factor until the position for each of the plurality of nodes reaches an equilibrium; identify and remove an old event from the event stack responsive to the event stack exceeding the predetermined stack limit; decrement counters in the data structure associated with the arranged real-time media item listening behavior upon removal of the old event from the event stack wherein the old event corresponds to the arranged real-time media item listening behavior that is scheduled to be decremented; and update the visualization display responsive to each change in the artists, users, tracks played, user last tracks played, correlations between different artists with respect to users' listening activity and temporal context of the users' listening activity. | 6. A non-transitory machine-readable storage medium comprising instructions which, when executed, cause the machine to: access a series of play events comprising real-time media item listening behavior, wherein the play events are associated with a user and a unique sequential identifier, wherein play events comprise instances of media items associated with the user being purchased, played, replayed, tagged, and skipped; compare the play event identifiers to previously retrieved play event identifiers to determine whether the play events are new; store one or more new play events in an event stack wherein the event stack has a predetermine stack limit; arrange real-time media item listening behavior corresponding to the new play events in one or more data structures, wherein the data structures are configured to correlate real-time media item listening behavior and to maintain a temporal context for real-time media item listening behavior; increment counters in the data structure associated with the arranged real-time media item listening behavior upon addition of the real-time media item listening behavior to the data structure, wherein the data structure comprises a plurality of hash tables for identifying and tracking media item attributes including: artist, users, tracks played, user last track played, correlations between different artists with respect to users' listening activity and temporal context of the users' listening activity; display a visualization of the arranged real-time media item listening behavior responsive to the arrangement of the real-time media item listening behavior in the data structure, wherein displaying comprises: adding a plurality of nodes representing artists and a plurality of edges representing consecutive play events of the same artist, each edge connecting a first node of the plurality of nodes to a second node of the plurality of nodes correlated to the first node, each of the plurality of nodes assigned a velocity, a position, a net force, and an identifier associated with one or more media items, and each of the plurality of edges assigned a net spring force; applying a damping factor; and repeatedly updating the position of each of the plurality of nodes based at least on the net force and the velocity assigned to each of the plurality of nodes, the net spring force assigned to each of the plurality of edges, and the damping factor until the position for each of the plurality of nodes reaches an equilibrium; identify and remove an old event from the event stack responsive to the event stack exceeding the predetermined stack limit; decrement counters in the data structure associated with the arranged real-time media item listening behavior upon removal of the old event from the event stack wherein the old event corresponds to the arranged real-time media item listening behavior that is scheduled to be decremented; and update the visualization display responsive to each change in the artists, users, tracks played, user last tracks played, correlations between different artists with respect to users' listening activity and temporal context of the users' listening activity. 9. The tangible machine-readable storage medium of claim 6 , wherein the data structure correlates arranged real-time media item listening behavior and stores an indication of the correlation as a separate entry in the data structure and wherein the correlation entry is associated with a counters for incrementing and decrementing. | 0.501502 |
10,062,042 | 1 | 7 | 1. In electronic circuitry, a method of electronically communicating task information in real time to mobile devices of workers within a work area, the method comprising: receiving, by the electronic circuitry, task entries which (i) identify tasks in need of attention and (ii) define task requirements for performing the tasks, the electronic circuitry electronically storing the task entries in a multi-field format; generating, by the electronic circuitry, task assignments based on electronically matching the task entries to worker profiles which (i) identify workers who are available for task assignment and (ii) define worker characteristics of the workers, the electronic circuitry electronically storing the worker profiles in a multi-field format; and providing, by the electronic circuitry, the task assignments to the workers in real time while the workers are distributed among different locations within the work area, the task assignments directing the workers to perform the tasks identified by the task entries in accordance with the task requirements defined by the task entries; wherein each of the workers has a respective mobile device constructed and arranged to communicate with the electronic circuitry in a wireless manner, wherein providing the task assignments to the workers includes (i) wirelessly transmitting, by the electronic circuitry, a respective list of multiple task assignments to the mobile device at least some of the workers, the list of one worker differing from the list of another worker, and (ii) providing a particular task assignment in the lists transmitted to the mobile devices of a subset of the workers, such that the lists provided to the mobile devices of the subset of workers include the same particular task assignment, and wherein the method further comprises, in response to a first worker of the subset of workers selecting the particular task assignment: wirelessly receiving, by the electronic circuitry and in real time, an indication from the mobile device of the first worker that the first worker has selected the particular task assignment; and wirelessly transmitting, to the mobile devices of each of the other workers in the subset of workers in real time, a task removal message, the task removal message directing each mobile device receiving the task removal message to remove the particular task assignment from the list of task assignments on the respective mobile device, the method thereby transmitting and updating work lists in real time to workers dispersed across the work area, wherein the workers have mobile devices, and wherein providing the task assignments to the workers while the workers are distributed among different locations within the work area includes conveying, by the electronic circuitry, the task assignments to the mobile devices of the first subset of the employees in a wireless manner while the workers are distributed among different locations within the work area, wherein the method further comprises: receiving, by the electronic circuitry, GPS data from the mobile devices of the workers while the workers are distributed among different locations within the work area, and based on the GPS data from the mobile devices of the workers, updating the worker characteristics defined by the worker profiles in real time to indicate current locations of the workers identified by the worker profiles, wherein each worker profile defines, as a worker characteristic, a current worker location of a respective worker identified by that worker profile; wherein each task entry defines, as a task requirement, a task location for a respective task identified by that task entry; and wherein generating the task assignments based on matching the task entries to worker profiles includes creating a particular task assignment which assigns a particular task to a particular worker only when a distance between a current worker location of the particular worker, as indicated by the GPS data received from the mobile device of the current worker, and a task location for the particular task is less than a predetermined distance threshold. | 1. In electronic circuitry, a method of electronically communicating task information in real time to mobile devices of workers within a work area, the method comprising: receiving, by the electronic circuitry, task entries which (i) identify tasks in need of attention and (ii) define task requirements for performing the tasks, the electronic circuitry electronically storing the task entries in a multi-field format; generating, by the electronic circuitry, task assignments based on electronically matching the task entries to worker profiles which (i) identify workers who are available for task assignment and (ii) define worker characteristics of the workers, the electronic circuitry electronically storing the worker profiles in a multi-field format; and providing, by the electronic circuitry, the task assignments to the workers in real time while the workers are distributed among different locations within the work area, the task assignments directing the workers to perform the tasks identified by the task entries in accordance with the task requirements defined by the task entries; wherein each of the workers has a respective mobile device constructed and arranged to communicate with the electronic circuitry in a wireless manner, wherein providing the task assignments to the workers includes (i) wirelessly transmitting, by the electronic circuitry, a respective list of multiple task assignments to the mobile device at least some of the workers, the list of one worker differing from the list of another worker, and (ii) providing a particular task assignment in the lists transmitted to the mobile devices of a subset of the workers, such that the lists provided to the mobile devices of the subset of workers include the same particular task assignment, and wherein the method further comprises, in response to a first worker of the subset of workers selecting the particular task assignment: wirelessly receiving, by the electronic circuitry and in real time, an indication from the mobile device of the first worker that the first worker has selected the particular task assignment; and wirelessly transmitting, to the mobile devices of each of the other workers in the subset of workers in real time, a task removal message, the task removal message directing each mobile device receiving the task removal message to remove the particular task assignment from the list of task assignments on the respective mobile device, the method thereby transmitting and updating work lists in real time to workers dispersed across the work area, wherein the workers have mobile devices, and wherein providing the task assignments to the workers while the workers are distributed among different locations within the work area includes conveying, by the electronic circuitry, the task assignments to the mobile devices of the first subset of the employees in a wireless manner while the workers are distributed among different locations within the work area, wherein the method further comprises: receiving, by the electronic circuitry, GPS data from the mobile devices of the workers while the workers are distributed among different locations within the work area, and based on the GPS data from the mobile devices of the workers, updating the worker characteristics defined by the worker profiles in real time to indicate current locations of the workers identified by the worker profiles, wherein each worker profile defines, as a worker characteristic, a current worker location of a respective worker identified by that worker profile; wherein each task entry defines, as a task requirement, a task location for a respective task identified by that task entry; and wherein generating the task assignments based on matching the task entries to worker profiles includes creating a particular task assignment which assigns a particular task to a particular worker only when a distance between a current worker location of the particular worker, as indicated by the GPS data received from the mobile device of the current worker, and a task location for the particular task is less than a predetermined distance threshold. 7. A method as in claim 1 , further comprising: after providing the task assignments to the workers, receiving new task entries identifying new tasks; generating new task assignments based on matching the new task entries to the worker profiles; and providing the new task assignments to the workers while the workers remain distributed among different locations within the work area. | 0.847981 |
9,526,994 | 2 | 3 | 2. The method as recited in claim 1 wherein said logically analyzing step is performed based on rules in regard to metadata corresponding to at least an issuer of the invitation and a destination of the teleportation invitation. | 2. The method as recited in claim 1 wherein said logically analyzing step is performed based on rules in regard to metadata corresponding to at least an issuer of the invitation and a destination of the teleportation invitation. 3. The method as recited in claim 2 wherein said rules are created based on metadata in a teleportation invitation. | 0.964241 |
9,911,435 | 1 | 6 | 1. A computer implemented method, comprising: identifying, by a system of one or more computers, a key phrase that includes one or more words of interest; processing an audio file by a phonetic search engine of the system to identify a plurality of phrase occurrences in the audio file, wherein each phrase occurrence of said phrase occurrences is representative of one or more words spoken by said at least one speaker and stored in said audio file; selecting, by the system, a candidate phrase occurrence from said phrase occurrences, wherein said candidate phrase occurrence is a potential match for said key phrase; identifying, by the system, a confidence level for said candidate phrase occurrence, wherein said confidence level is based on the likelihood that said candidate phrase occurrence matches said key phrase; and providing, by the system, a graphical representation for display by an application executing on one or more of the computers of the system or executing on an additional computer, wherein said graphical representation includes a time axis representative of time passage in said audio file and a fiducial marking along said time axis; wherein said fiducial marking is presented along said time axis at a time associated with the occurrence of said candidate phrase occurrence in said audio file based on identifying said candidate phrase occurrence in said audio file; and wherein a magnitude of a visual magnitude characteristic of said fiducial marking is determined based on said confidence level of said candidate phrase occurrence; determining an emotional characteristic of said speaker in said audio file, said emotional characteristic indicative of said speaker experiencing a particular emotion; selecting a second candidate phrase occurrence from said phrase occurrences different from said candidate phrase occurrence, wherein said second candidate phrase occurrence is said potential match for said key phrase; identifying a second confidence level for said second candidate phrase occurrence, wherein said second confidence level is based on the likelihood that said second candidate phrase occurrence matches said key phrase; wherein said graphical representation includes a second fiducial marking along said time axis, wherein said second fiducial marking is resent along said time axis at a second time associated with the occurrence of said second candidate phrase, and wherein a magnitude of a characteristic of said second fiducial marking is based on said second confidence level of said second candidate phrase occurrence in said audio file; said second fiducial marking and said fiducial marking are visual representations of the instances of respective said second candidate phrase occurrence and said candidate phrase occurrence on said time axis of said audio file. | 1. A computer implemented method, comprising: identifying, by a system of one or more computers, a key phrase that includes one or more words of interest; processing an audio file by a phonetic search engine of the system to identify a plurality of phrase occurrences in the audio file, wherein each phrase occurrence of said phrase occurrences is representative of one or more words spoken by said at least one speaker and stored in said audio file; selecting, by the system, a candidate phrase occurrence from said phrase occurrences, wherein said candidate phrase occurrence is a potential match for said key phrase; identifying, by the system, a confidence level for said candidate phrase occurrence, wherein said confidence level is based on the likelihood that said candidate phrase occurrence matches said key phrase; and providing, by the system, a graphical representation for display by an application executing on one or more of the computers of the system or executing on an additional computer, wherein said graphical representation includes a time axis representative of time passage in said audio file and a fiducial marking along said time axis; wherein said fiducial marking is presented along said time axis at a time associated with the occurrence of said candidate phrase occurrence in said audio file based on identifying said candidate phrase occurrence in said audio file; and wherein a magnitude of a visual magnitude characteristic of said fiducial marking is determined based on said confidence level of said candidate phrase occurrence; determining an emotional characteristic of said speaker in said audio file, said emotional characteristic indicative of said speaker experiencing a particular emotion; selecting a second candidate phrase occurrence from said phrase occurrences different from said candidate phrase occurrence, wherein said second candidate phrase occurrence is said potential match for said key phrase; identifying a second confidence level for said second candidate phrase occurrence, wherein said second confidence level is based on the likelihood that said second candidate phrase occurrence matches said key phrase; wherein said graphical representation includes a second fiducial marking along said time axis, wherein said second fiducial marking is resent along said time axis at a second time associated with the occurrence of said second candidate phrase, and wherein a magnitude of a characteristic of said second fiducial marking is based on said second confidence level of said second candidate phrase occurrence in said audio file; said second fiducial marking and said fiducial marking are visual representations of the instances of respective said second candidate phrase occurrence and said candidate phrase occurrence on said time axis of said audio file. 6. The method of claim 1 , wherein said emotional characteristic provides an indication of the likelihood said speaker is experiencing said emotional characteristic. | 0.807243 |
9,785,715 | 17 | 18 | 17. The media of claim 11 , wherein the application further comprises a software module notifying a human to respond to a query susceptible to response automation with one or more responses likely to resolve the query. | 17. The media of claim 11 , wherein the application further comprises a software module notifying a human to respond to a query susceptible to response automation with one or more responses likely to resolve the query. 18. The media of claim 17 , wherein the software module notifying a human to respond provides suggested responses and, for each, a percentage of users who respond with the suggested response. | 0.933263 |
9,171,083 | 1 | 4 | 1. A computer implemented method for keeping and finding information, comprising: a textual search engine, responsive to a user query comprising a search term, using a semantic vector to promote any of documents and sites that contain other, closely related terms that strongly correlate with said search term, wherein a semantic vector of a term comprises a global frequency of said other, closely related terms within a corpus that is used to compute said semantic vector relative to said search term; a processor generating a social graph for said user in which connections for said user comprise hyper-dimensional relationships based on semantic vectors that link said search term with a collection of said other, closely related terms; said processor applying a personalized semantic vector for said user to said social graph, wherein said personalized semantic vector comprises a subset of said corpus that is personal to said user, said processor determining said personalized semantic vector by taking into account only documents and sites that said user has strong engagement with, and by which said user's personal semantics are determined when related to a specific term; and an expert network applying said user's personalized semantic vector to locate experts in said user's social graph based on a user query topic: wherein said expert network comprises a network between individuals that describes how they are related to each other in terms of expertise; wherein said expert network identifies said user's intent and identifies experts for said term among said user's connections; and wherein when a connection is considered an expert for said user, documents and sites that said connection kept are recommended to said user. | 1. A computer implemented method for keeping and finding information, comprising: a textual search engine, responsive to a user query comprising a search term, using a semantic vector to promote any of documents and sites that contain other, closely related terms that strongly correlate with said search term, wherein a semantic vector of a term comprises a global frequency of said other, closely related terms within a corpus that is used to compute said semantic vector relative to said search term; a processor generating a social graph for said user in which connections for said user comprise hyper-dimensional relationships based on semantic vectors that link said search term with a collection of said other, closely related terms; said processor applying a personalized semantic vector for said user to said social graph, wherein said personalized semantic vector comprises a subset of said corpus that is personal to said user, said processor determining said personalized semantic vector by taking into account only documents and sites that said user has strong engagement with, and by which said user's personal semantics are determined when related to a specific term; and an expert network applying said user's personalized semantic vector to locate experts in said user's social graph based on a user query topic: wherein said expert network comprises a network between individuals that describes how they are related to each other in terms of expertise; wherein said expert network identifies said user's intent and identifies experts for said term among said user's connections; and wherein when a connection is considered an expert for said user, documents and sites that said connection kept are recommended to said user. 4. The method of claim 1 , further comprising: providing a find engine for examining links returned in response to said query; and said find engine promoting links to said user when said links were kept by said user's connections; wherein a stronger preference is shown for promoting links kept by experts said identified by said expert network in user's social graph. | 0.638507 |
8,296,678 | 1 | 2 | 1. A method of identifying type-ahead candidates, comprising the steps of: analyzing past non-threaded emails or documents for words or phrases, wherein the emails or documents are in files and folders associated with an application; generating a database of the words or phrases and corresponding addressee information within the past non-threaded emails or documents having matching subject matter; receiving in a current email or document of the application one or more characters to provide a basis to determine a match; analyzing the current email or document for current words or phrases; determining matches between the current words or phrases within the current email or document and one or more words or phrases in the database; identifying, based on the determined matches, one or more of the corresponding addressee information of the past non-threaded emails or documents; matching the identified corresponding addressee information with the one or more received characters to identify one or more candidate words; presenting the one or more candidate words to a user on a personal computer as type-ahead choices; providing the one or more candidate words based on the results of the matching step; and presenting and including a selected one of the one or more candidate words in the current email or document, wherein the analyzing the past non-threaded emails or documents comprises: creating the database, which is a running log of messages sent, a record of to whom the messages were sent, messages received, and a record of from whom the messages were received, the database comprising a correlation table comprising: corresponding addressee information for the messages sent and the messages received that are considered matching in subject matter; and one or more uncommon words that appear within the messages sent and the messages received; and wherein the method further comprises: assigning a first weight to the one or more candidate words based on the match with the corresponding addressee information, assigning a second weight to the one or more candidate words based on a frequency match, assigning a third weight to the one or more candidate words based on a time based time proximity match, assigning a fourth weight to the one or more candidate words based on inclusive references, and assigning a fifth weight to the one or more candidate words based on associative matches; creating a preferences profile that defines: (i) preferred contacts or names, (ii) preferred words, and (iii) preferred phrases for use in prioritizing the one or more candidate words; and assigning a sixth weight to the one or more candidate words based on the preferences profile, and wherein analyzing the current email or document comprises: analyzing the past non-threaded emails or documents for context by identifying matching keywords or phrases between the past non-threaded emails or documents and the current email or document; associating the corresponding addressee information for the matched past non-threaded emails or documents with the identified matching keywords or phrases; and creating a context index of the corresponding addressee information for use by the matching step, wherein: the corresponding addressee information are contacts listed as senders or receivers of the matched past non-threaded emails or documents; and the presenting step includes presenting the one or more candidate words based at least in part on the assigned weights. | 1. A method of identifying type-ahead candidates, comprising the steps of: analyzing past non-threaded emails or documents for words or phrases, wherein the emails or documents are in files and folders associated with an application; generating a database of the words or phrases and corresponding addressee information within the past non-threaded emails or documents having matching subject matter; receiving in a current email or document of the application one or more characters to provide a basis to determine a match; analyzing the current email or document for current words or phrases; determining matches between the current words or phrases within the current email or document and one or more words or phrases in the database; identifying, based on the determined matches, one or more of the corresponding addressee information of the past non-threaded emails or documents; matching the identified corresponding addressee information with the one or more received characters to identify one or more candidate words; presenting the one or more candidate words to a user on a personal computer as type-ahead choices; providing the one or more candidate words based on the results of the matching step; and presenting and including a selected one of the one or more candidate words in the current email or document, wherein the analyzing the past non-threaded emails or documents comprises: creating the database, which is a running log of messages sent, a record of to whom the messages were sent, messages received, and a record of from whom the messages were received, the database comprising a correlation table comprising: corresponding addressee information for the messages sent and the messages received that are considered matching in subject matter; and one or more uncommon words that appear within the messages sent and the messages received; and wherein the method further comprises: assigning a first weight to the one or more candidate words based on the match with the corresponding addressee information, assigning a second weight to the one or more candidate words based on a frequency match, assigning a third weight to the one or more candidate words based on a time based time proximity match, assigning a fourth weight to the one or more candidate words based on inclusive references, and assigning a fifth weight to the one or more candidate words based on associative matches; creating a preferences profile that defines: (i) preferred contacts or names, (ii) preferred words, and (iii) preferred phrases for use in prioritizing the one or more candidate words; and assigning a sixth weight to the one or more candidate words based on the preferences profile, and wherein analyzing the current email or document comprises: analyzing the past non-threaded emails or documents for context by identifying matching keywords or phrases between the past non-threaded emails or documents and the current email or document; associating the corresponding addressee information for the matched past non-threaded emails or documents with the identified matching keywords or phrases; and creating a context index of the corresponding addressee information for use by the matching step, wherein: the corresponding addressee information are contacts listed as senders or receivers of the matched past non-threaded emails or documents; and the presenting step includes presenting the one or more candidate words based at least in part on the assigned weights. 2. The method of claim 1 , further comprising the steps of: creating a preferences profile that defines preferred words or phrases for use in prioritizing the one or more candidate words; and prioritizing the one or more candidate words based on the preferences profile. | 0.775374 |
9,311,077 | 15 | 17 | 15. A computer system for identifying code changes, the computer system comprising: one or more computer processors; one or more computer-readable storage medium, wherein the one or more computer-readable storage medium are not transitory signals; program instructions stored on the computer readable storage medium for execution by at least one of the one or more processors, the program instructions comprising: program instructions to retrieve a first changeset that is associated with a program based, at least in part, on a search parameter that includes a range of time and a first area of interest that indicates a first portion of a source code of the program; program instructions to identify a first set of changes included in the first changeset based on a time stamp of a change, wherein a time of the time stamp is included within the range of time, and wherein first set of changes includes a change to a region of the source code that is included in the first area of interest, the computer determining whether the change included in the first set of changes is a textual change or a syntactical change to the region of the source code, based on textual matching, and syntactical matching, wherein syntactical matching includes a comparison of a first valid syntax of the first set of changes to a second valid syntax of the region of the source code of the program that corresponds to the first set of changes, and wherein the comparison reveals that a syntax of the source code of the program was changed by the first set of changes from second valid syntax to the first valid syntax; program instructions to generate a second area of interest that includes a second portion of the source code of the program by updating the first area of interest based, at least in part, on i) the change being a textual change or a syntactical change and ii) an inverse of an operation included in the change, such that the second area of interest includes a third portion of source code that is not indicated by the first area of interest; program instructions to search for a second set of changes based, at least in part, on the second area of interest; program instructions to identify a possible source of an error based, at least in part, on a result of an analysis of a syntax of the second set of changes; and program instructions to generate a result that includes, at least in part, the second set of changes and an indication of the possible source of the error. | 15. A computer system for identifying code changes, the computer system comprising: one or more computer processors; one or more computer-readable storage medium, wherein the one or more computer-readable storage medium are not transitory signals; program instructions stored on the computer readable storage medium for execution by at least one of the one or more processors, the program instructions comprising: program instructions to retrieve a first changeset that is associated with a program based, at least in part, on a search parameter that includes a range of time and a first area of interest that indicates a first portion of a source code of the program; program instructions to identify a first set of changes included in the first changeset based on a time stamp of a change, wherein a time of the time stamp is included within the range of time, and wherein first set of changes includes a change to a region of the source code that is included in the first area of interest, the computer determining whether the change included in the first set of changes is a textual change or a syntactical change to the region of the source code, based on textual matching, and syntactical matching, wherein syntactical matching includes a comparison of a first valid syntax of the first set of changes to a second valid syntax of the region of the source code of the program that corresponds to the first set of changes, and wherein the comparison reveals that a syntax of the source code of the program was changed by the first set of changes from second valid syntax to the first valid syntax; program instructions to generate a second area of interest that includes a second portion of the source code of the program by updating the first area of interest based, at least in part, on i) the change being a textual change or a syntactical change and ii) an inverse of an operation included in the change, such that the second area of interest includes a third portion of source code that is not indicated by the first area of interest; program instructions to search for a second set of changes based, at least in part, on the second area of interest; program instructions to identify a possible source of an error based, at least in part, on a result of an analysis of a syntax of the second set of changes; and program instructions to generate a result that includes, at least in part, the second set of changes and an indication of the possible source of the error. 17. The computer system of claim 15 , wherein one or both of the first set of changes and the second set of changes include changes that have been made to a program. | 0.873077 |
8,527,540 | 2 | 5 | 2. A method as in claim 1 further comprising: augmenting the report document with metadata including a report identifier and parameter information. | 2. A method as in claim 1 further comprising: augmenting the report document with metadata including a report identifier and parameter information. 5. A method as in claim 2 , further comprising: refreshing the report document from a latest instance of the report document that has the same parameters that are specified in the metadata. | 0.906343 |
8,276,060 | 12 | 13 | 12. A method for annotating a document in a viewer, comprising: associating the document with a user; identifying one or more sub-document elements in the document; computing a similarity measure from content of the identified one or more sub-document elements in the document; identifying one or more other sub-document elements in one or more further non-identical documents stored in a database, each of the one or more other sub-document elements associated with one or more annotations, with comparable similarity measures to the one or more sub-document elements in the document; augmenting the document, comprising: inserting a tagging comment field after identified sub-document elements; responsive to each user input selecting a word in the document, inserting the selected word in the tagging comment field corresponding to the sub-document element from which the word was selected; inserting the one or more annotations associated with the identified one or more other sub-document elements with comparable similarity measures following the sub-document element in the document; and storing in a database a record that associates the user with the computed similarity measure of the sub-document element's content and the selected words and storing with the record a URL of the document as a URL/USER pair in a bi-graph matrix for generating spreading activation computation profiles; and displaying the augmented document in the viewer. | 12. A method for annotating a document in a viewer, comprising: associating the document with a user; identifying one or more sub-document elements in the document; computing a similarity measure from content of the identified one or more sub-document elements in the document; identifying one or more other sub-document elements in one or more further non-identical documents stored in a database, each of the one or more other sub-document elements associated with one or more annotations, with comparable similarity measures to the one or more sub-document elements in the document; augmenting the document, comprising: inserting a tagging comment field after identified sub-document elements; responsive to each user input selecting a word in the document, inserting the selected word in the tagging comment field corresponding to the sub-document element from which the word was selected; inserting the one or more annotations associated with the identified one or more other sub-document elements with comparable similarity measures following the sub-document element in the document; and storing in a database a record that associates the user with the computed similarity measure of the sub-document element's content and the selected words and storing with the record a URL of the document as a URL/USER pair in a bi-graph matrix for generating spreading activation computation profiles; and displaying the augmented document in the viewer. 13. The method according to claim 12 , wherein said augmenting further comprises inserting a user name label of the user associated with the document after the sub-document element and before the tagging comment field. | 0.502283 |
8,069,410 | 1 | 3 | 1. A process for retrieving and viewing partial content of a server stored document on a mobile communication device, comprising: extracting informational entities from said document within said server; populating a model of said document within said server with elements corresponding to said informational entities; detecting navigational entities within said informational entities and in response storing within said server source and target destinations associated with said navigational entities; assigning an identifier to each of said source and target destinations within said model; paginating said model within said server into a plurality of segments identified by respective index values, comprising updating each said identifier with an attribute containing a corresponding one of said index values; generating output data for delivery to said mobile communication device by traversing through said elements in said model and recording each element as an equivalent command containing content and document characteristics; sending a first request from the mobile communication device to the server to display said document; in response to receiving said first request transmitting a first segment of said output data from said server to said mobile communication device; parsing said output data within said mobile communication device and executing each said equivalent command to thereby display said content of said first segment of the document according to said document characteristics comprising any of said navigational entities contained within said first segment; in response to user selection of a navigational entity displayed on said mobile communication device sending a further request to said server containing the identifier and index value corresponding to said navigational entity; in response to receiving said further request transmitting a further segment of said output data from said server to said mobile communication device from a location in said model corresponding to said index value; parsing said further segment of output data within said mobile communication device and executing each said equivalent command to thereby display said content of said further segment of the document according to said document characteristics; detecting within said mobile communication device any skipped content between said first and further segment and providing a visual indication of said skipped content on said mobile communication device, wherein said visual indication of said skipped content includes a horizontal bar indicator between said first and further segment displayed on said mobile communication device; and; calculating and displaying size of said skipped content within said horizontal bar indicator. | 1. A process for retrieving and viewing partial content of a server stored document on a mobile communication device, comprising: extracting informational entities from said document within said server; populating a model of said document within said server with elements corresponding to said informational entities; detecting navigational entities within said informational entities and in response storing within said server source and target destinations associated with said navigational entities; assigning an identifier to each of said source and target destinations within said model; paginating said model within said server into a plurality of segments identified by respective index values, comprising updating each said identifier with an attribute containing a corresponding one of said index values; generating output data for delivery to said mobile communication device by traversing through said elements in said model and recording each element as an equivalent command containing content and document characteristics; sending a first request from the mobile communication device to the server to display said document; in response to receiving said first request transmitting a first segment of said output data from said server to said mobile communication device; parsing said output data within said mobile communication device and executing each said equivalent command to thereby display said content of said first segment of the document according to said document characteristics comprising any of said navigational entities contained within said first segment; in response to user selection of a navigational entity displayed on said mobile communication device sending a further request to said server containing the identifier and index value corresponding to said navigational entity; in response to receiving said further request transmitting a further segment of said output data from said server to said mobile communication device from a location in said model corresponding to said index value; parsing said further segment of output data within said mobile communication device and executing each said equivalent command to thereby display said content of said further segment of the document according to said document characteristics; detecting within said mobile communication device any skipped content between said first and further segment and providing a visual indication of said skipped content on said mobile communication device, wherein said visual indication of said skipped content includes a horizontal bar indicator between said first and further segment displayed on said mobile communication device; and; calculating and displaying size of said skipped content within said horizontal bar indicator. 3. The process of claim 1 , wherein each of said informational entities includes at least one of textual paragraphs, font type, font size, font style, table of contents, bookmarks, and hyperlinks. | 0.502538 |
9,576,052 | 7 | 13 | 7. A system for training a web crawler, wherein the web crawler maintains one or more categories each comprising a set of words, the system comprises: one or more processors operable to execute one or more instructions to: select at least one hyperlink in response to a query received from a user based on the set of words; determine a hyperlink score for the at least one hyperlink based on a predetermined category score associated with each of one or more categories and a membership value of the at least one hyperlink for each of the one or more categories; update the predetermined category score associated with each of the one or more categories based at least on a discount factor associated with the predetermined category score and an association of learning rate with a measure of contribution of the one or more categories for the selection of the at least one hyperlink and another measure of correctness of the selection of the at least one hyperlink with respect to semantic of the query; compare the updated predetermined category score with the hyperlink score to select a category from the one or more categories; and update the set of words associated with the category based on content of a webpage pointed by the at least one hyperlink. | 7. A system for training a web crawler, wherein the web crawler maintains one or more categories each comprising a set of words, the system comprises: one or more processors operable to execute one or more instructions to: select at least one hyperlink in response to a query received from a user based on the set of words; determine a hyperlink score for the at least one hyperlink based on a predetermined category score associated with each of one or more categories and a membership value of the at least one hyperlink for each of the one or more categories; update the predetermined category score associated with each of the one or more categories based at least on a discount factor associated with the predetermined category score and an association of learning rate with a measure of contribution of the one or more categories for the selection of the at least one hyperlink and another measure of correctness of the selection of the at least one hyperlink with respect to semantic of the query; compare the updated predetermined category score with the hyperlink score to select a category from the one or more categories; and update the set of words associated with the category based on content of a webpage pointed by the at least one hyperlink. 13. The system of claim 7 , wherein the content of the webpage comprises one or more of an anchor, a header, and a page title of a web page. | 0.80226 |
4,464,731 | 12 | 15 | 12. An electronic translator of the type wherein a first word or words represented in a first language are entered to obtain a second word or words in a second language which are equivalent to the first word or words, comprising: input means for entering the first character of a selected one of first word or words; memory means for storing the equivalent first and second words, the first word or words being stored in a predetermined order such that it can be ascertained from any first word or words where in the predetermined order that first word or words is located; access means responsive to the entry of the first character in the input means for addressing the memory means at the location in the predetermined order where first words starting with the first character commence being stored; indicating means responsive to the access means for indicating the word or words being retrieved by the access means; variable speed and direction retrieval control means for sequentially causing the access means to retrieve certain of the first words starting with the first character from the memory means and causing each successively retrieved first word or words starting with the first character to be indicated by the indicating means such that the selected first word or words can be retrieved from the memory means; and translation means for causing the access means to retrieve the second word or words equivalent to the selected and previously retrieved first word or words and causing the indicating means to indicate the translated second word or words. | 12. An electronic translator of the type wherein a first word or words represented in a first language are entered to obtain a second word or words in a second language which are equivalent to the first word or words, comprising: input means for entering the first character of a selected one of first word or words; memory means for storing the equivalent first and second words, the first word or words being stored in a predetermined order such that it can be ascertained from any first word or words where in the predetermined order that first word or words is located; access means responsive to the entry of the first character in the input means for addressing the memory means at the location in the predetermined order where first words starting with the first character commence being stored; indicating means responsive to the access means for indicating the word or words being retrieved by the access means; variable speed and direction retrieval control means for sequentially causing the access means to retrieve certain of the first words starting with the first character from the memory means and causing each successively retrieved first word or words starting with the first character to be indicated by the indicating means such that the selected first word or words can be retrieved from the memory means; and translation means for causing the access means to retrieve the second word or words equivalent to the selected and previously retrieved first word or words and causing the indicating means to indicate the translated second word or words. 15. An electronic translator according to claim 12, wherein the variable speed and direction retrieval control means further enables the access means to sequentially address and retrieve first words stored in the memory means in both the predetermined order and in an order opposed to the predetermined order. | 0.534639 |
8,180,847 | 11 | 12 | 11. A web services bus off-ramp, comprising: means for retrieving a deployment descriptor for a web service; means for determining, using a processor unit, a location type for the web service from the deployment descriptor, wherein the location type identifies whether a description of a real implementation of the web service supporting a portType comprises at least one of WSDL and JavaBean; and means for deploying the web service based on the location type for the web service, wherein the deployment descriptor describes how the web service is deployed in the data processing system responsive to a determination that the location type for the web service indicates that the web service is defined by both a JavaBean and a web service description language document. | 11. A web services bus off-ramp, comprising: means for retrieving a deployment descriptor for a web service; means for determining, using a processor unit, a location type for the web service from the deployment descriptor, wherein the location type identifies whether a description of a real implementation of the web service supporting a portType comprises at least one of WSDL and JavaBean; and means for deploying the web service based on the location type for the web service, wherein the deployment descriptor describes how the web service is deployed in the data processing system responsive to a determination that the location type for the web service indicates that the web service is defined by both a JavaBean and a web service description language document. 12. The web services bus off-ramp of claim 11 , wherein deploying the web service based on the location type for the web service includes generating an internal definition of the web service using location type attributes associated with the location type. | 0.75 |
7,693,827 | 10 | 13 | 10. A computer system for personalizing placed content associated with a search query, comprising: a user profile, based, at least in part, on query terms in a plurality of previously submitted search queries; and a placed content server, including a plurality of placed content, for identifying a subset of the plurality of placed content that matches a search query and that assigns a popularity score to each of the plurality of placed content in the subset in accordance with the user profile, a respective bid value for the placed content, and a respective click through rate for the placed content based on multiple user activities, and that ranks the subset based on the respective popularity scores of the subset of placed content, and that prepares for display of the subset of the plurality of placed content in an order determined by their respective popularity scores, wherein the popularity score of each piece of placed content is based on a similarity score between the user profile and a placed content profile associated with the placed content, wherein the similarity score is indicative of a level of similarity between the user profile and the associated placed content profile, and wherein the similarity score is combined with the respective click through rate and the respective bid value to determine the popularity score assigned to the placed content. | 10. A computer system for personalizing placed content associated with a search query, comprising: a user profile, based, at least in part, on query terms in a plurality of previously submitted search queries; and a placed content server, including a plurality of placed content, for identifying a subset of the plurality of placed content that matches a search query and that assigns a popularity score to each of the plurality of placed content in the subset in accordance with the user profile, a respective bid value for the placed content, and a respective click through rate for the placed content based on multiple user activities, and that ranks the subset based on the respective popularity scores of the subset of placed content, and that prepares for display of the subset of the plurality of placed content in an order determined by their respective popularity scores, wherein the popularity score of each piece of placed content is based on a similarity score between the user profile and a placed content profile associated with the placed content, wherein the similarity score is indicative of a level of similarity between the user profile and the associated placed content profile, and wherein the similarity score is combined with the respective click through rate and the respective bid value to determine the popularity score assigned to the placed content. 13. The system of claim 10 , further including a scaling factor associated with the similarity score. | 0.940448 |
7,702,691 | 1 | 6 | 1. A computer implemented system to support querying of a software object, comprising: at least one processor; a software object finder, which runs on the at least one processor, to perform the steps of: querying a plurality of databases using a plurality of queries in different query languages, wherein at least one database in the plurality of databases is associated with a different query language from another database in the plurality of databases; mapping a matched data entity from the plurality of databases to one or more instances of the software object; performing relationship caching of one or more additional software objects from the plurality of databases into a cache using queries in different query languages, wherein the one or more additional software objects are related to the software object by one or more predefined relationships, wherein the relationship caching allows the one or more additional software objects to be loaded into the cache in a join query prior to the mapping step, and wherein both the software object and the one or more additional software objects are created and managed by a container and run as part of an application server to support software applications, wherein the software object and the related software objects use one or more deployment descriptors at deploy time, wherein the one or more deployment descriptors allow an editing of structural information about the software object and the one or more additional software objects; and storing the one or more instances of the software object in a result set; and wherein the one or more deployment descriptors of the software object define: the different query languages used by the software object finder; and selection information of the different query languages. | 1. A computer implemented system to support querying of a software object, comprising: at least one processor; a software object finder, which runs on the at least one processor, to perform the steps of: querying a plurality of databases using a plurality of queries in different query languages, wherein at least one database in the plurality of databases is associated with a different query language from another database in the plurality of databases; mapping a matched data entity from the plurality of databases to one or more instances of the software object; performing relationship caching of one or more additional software objects from the plurality of databases into a cache using queries in different query languages, wherein the one or more additional software objects are related to the software object by one or more predefined relationships, wherein the relationship caching allows the one or more additional software objects to be loaded into the cache in a join query prior to the mapping step, and wherein both the software object and the one or more additional software objects are created and managed by a container and run as part of an application server to support software applications, wherein the software object and the related software objects use one or more deployment descriptors at deploy time, wherein the one or more deployment descriptors allow an editing of structural information about the software object and the one or more additional software objects; and storing the one or more instances of the software object in a result set; and wherein the one or more deployment descriptors of the software object define: the different query languages used by the software object finder; and selection information of the different query languages. 6. The system according to claim 1 , wherein: the software object finder maps primary key of the data entity only. | 0.862981 |
10,067,918 | 1 | 2 | 1. A method, comprising: identifying, by at least one computing device, a series of characters within a text block, the series of characters being a subset of the text block; binding, by the at least one computing device, the series of characters to generate a text unit; encoding, by the at least one computing device, the text block to generate an encoded text block, wherein the encoded text block comprises a first signal indicating that an entirety of the series of characters in the text unit is to be selected in response to a subset of the series of characters being selected; selecting, by the at least one computing device, in response to the first signal and at least a portion of the subset of the series of characters being selected, the entirety of the series of characters in the text unit; and encoding, by the at least one computing device, in response to an instruction to treat the series of characters as being unbound, the text block to generate a modified encoded text block, wherein the modified encoded text block comprises a second signal indicating that a portion of the series of characters is to be selected in response to the portion of the series of characters being selected. | 1. A method, comprising: identifying, by at least one computing device, a series of characters within a text block, the series of characters being a subset of the text block; binding, by the at least one computing device, the series of characters to generate a text unit; encoding, by the at least one computing device, the text block to generate an encoded text block, wherein the encoded text block comprises a first signal indicating that an entirety of the series of characters in the text unit is to be selected in response to a subset of the series of characters being selected; selecting, by the at least one computing device, in response to the first signal and at least a portion of the subset of the series of characters being selected, the entirety of the series of characters in the text unit; and encoding, by the at least one computing device, in response to an instruction to treat the series of characters as being unbound, the text block to generate a modified encoded text block, wherein the modified encoded text block comprises a second signal indicating that a portion of the series of characters is to be selected in response to the portion of the series of characters being selected. 2. The method of claim 1 , wherein the text unit comprises a cryptographic signature. | 0.83463 |
8,682,932 | 1 | 9 | 1. A method comprising: generating an index mapping data objects to terms associated with the data objects; generating a graph describing hierarchical relationships between each of the data objects; receiving a search request comprising a plurality of search terms; based on the index, calculating multiple candidate sets of data objects by, for each particular term in the plurality of search terms, identifying a particular candidate set of data objects that are mapped to the particular term; calculating priority scores for at least the data objects in the candidate sets based at least in part on one or more of: a link analysis of the graph; or metadata describing structural constraints upon the data objects; based on the graph, identifying one or more search result subgraphs, wherein each particular subgraph of the one or more search result subgraphs is a hierarchy of data objects that comprises, for each particular term, at least one data object mapped to the particular term in the index; wherein identifying the one or more search result subgraphs comprises investigating the hierarchical relationships described by the graph, in an order that is based on the priority scores, to locate at least one ancestor object that, for each particular candidate set, is the same as, or an ancestor of, at least one member object of that particular candidate set; providing information indicating the one or more search result subgraphs in response to the search request; wherein the method is performed by one or more computing devices. | 1. A method comprising: generating an index mapping data objects to terms associated with the data objects; generating a graph describing hierarchical relationships between each of the data objects; receiving a search request comprising a plurality of search terms; based on the index, calculating multiple candidate sets of data objects by, for each particular term in the plurality of search terms, identifying a particular candidate set of data objects that are mapped to the particular term; calculating priority scores for at least the data objects in the candidate sets based at least in part on one or more of: a link analysis of the graph; or metadata describing structural constraints upon the data objects; based on the graph, identifying one or more search result subgraphs, wherein each particular subgraph of the one or more search result subgraphs is a hierarchy of data objects that comprises, for each particular term, at least one data object mapped to the particular term in the index; wherein identifying the one or more search result subgraphs comprises investigating the hierarchical relationships described by the graph, in an order that is based on the priority scores, to locate at least one ancestor object that, for each particular candidate set, is the same as, or an ancestor of, at least one member object of that particular candidate set; providing information indicating the one or more search result subgraphs in response to the search request; wherein the method is performed by one or more computing devices. 9. The method of claim 1 , wherein the priority scores are based on the link analysis of the graph, wherein the priority score for each particular data object is based at least in part on how many of the data objects depend upon the particular data object. | 0.802773 |
4,506,326 | 6 | 7 | 6. The method of claim 1, comprising the further step, responsive to said graphic language query being a target print query expressed as a print command appearing in a target table, of synthesizing a linear select query. | 6. The method of claim 1, comprising the further step, responsive to said graphic language query being a target print query expressed as a print command appearing in a target table, of synthesizing a linear select query. 7. The method of claim 6 wherein said linear select query is synthesized according to the steps of: generating for each target row of a target table containing a print command P. a select statement including (1) in a SELECT clause a list of constants and expressions that appear in or are referenced by the data fields of the target row for which the select statement is being generated; (2) in a FROM clause the table name and associated correlation variable for each table containing the target or a linked row; and (3) in a WHERE clause the logical ANDing of any conditions that reference rows that are referenced in the target row; responsive to the target print query including a sort specification, generating an ORDER BY clause; and generating as said linear select query any generated ORDER BY clause and the UNION of all generated select statements. | 0.663529 |
7,735,144 | 13 | 23 | 13. A computer readable storage device storing a computer program which, when executed by a computer processor, causes the computer processor to perform operations comprising: reading an electronic document, the electronic document comprising content rules, an existing signed state, and existing content items; authenticating the electronic document one or more times, each authenticating comprising: classifying the existing content items of the electronic document into existing invariant content items and existing modifiable content items, according to the content rules; receiving one or more user actions for one or more of the existing content items; determining whether the one or more user actions are permitted by the content rules; reclassifying one or more existing modifiable content items into new invariant content items in response to the one or more user actions; generating an object digest for an aggregation of the existing invariant content items and the new invariant content items, wherein the aggregation includes a simple content item, a semi-complex content item and a complex content item, and the object digest is generated by digesting the existing invariant content items and the new invariant content items according to their complexity and generating the object digest includes ignoring one or more existing modifiable content items in the electronic document that are not reclassified into new invariant content items; generating a saved state of the electronic document; and adding a new signed state to the electronic document, the new signed state comprising the object digest, the saved state, and an electronic signature. | 13. A computer readable storage device storing a computer program which, when executed by a computer processor, causes the computer processor to perform operations comprising: reading an electronic document, the electronic document comprising content rules, an existing signed state, and existing content items; authenticating the electronic document one or more times, each authenticating comprising: classifying the existing content items of the electronic document into existing invariant content items and existing modifiable content items, according to the content rules; receiving one or more user actions for one or more of the existing content items; determining whether the one or more user actions are permitted by the content rules; reclassifying one or more existing modifiable content items into new invariant content items in response to the one or more user actions; generating an object digest for an aggregation of the existing invariant content items and the new invariant content items, wherein the aggregation includes a simple content item, a semi-complex content item and a complex content item, and the object digest is generated by digesting the existing invariant content items and the new invariant content items according to their complexity and generating the object digest includes ignoring one or more existing modifiable content items in the electronic document that are not reclassified into new invariant content items; generating a saved state of the electronic document; and adding a new signed state to the electronic document, the new signed state comprising the object digest, the saved state, and an electronic signature. 23. The storage device of claim 13 , wherein the semi-complex content item is a form field. | 0.942405 |
8,345,294 | 1 | 7 | 1. A document administration system, comprising: a plurality of document storing apparatuses; and a server apparatus connected the plurality of document storing apparatuses via a network, wherein each of the plurality of document storing apparatuses is controlled by a processor and includes: a plurality of boxes for storing various information in a sorted manner; and a document storing device for making the document storing apparatus store a document in one of the boxes, wherein the server apparatus is controlled by another processor and includes: a document storing apparatus registering portion for registering information on each of the document storing apparatuses; a box information obtaining portion for obtaining information on the boxes from each of the document storing apparatuses; a storing request receiving portion for receiving a storing request of the document; a storing destination deciding portion for automatically deciding which one of the plurality of document storing apparatuses and which one of the plurality of boxes thereof for actually storing the document, based on any one or more of information including information on the document corresponding to the storing request received by the storing request receiving portion, information on the document storing apparatuses registered in the document storing apparatus registering portion, and information on the boxes obtained by the box information obtaining portion; and a controller for transmitting the document to the one of the document storing apparatuses having the one of the boxes selected by the storing destination deciding portion and making the one document storing apparatus store the document in the one of the boxes. | 1. A document administration system, comprising: a plurality of document storing apparatuses; and a server apparatus connected the plurality of document storing apparatuses via a network, wherein each of the plurality of document storing apparatuses is controlled by a processor and includes: a plurality of boxes for storing various information in a sorted manner; and a document storing device for making the document storing apparatus store a document in one of the boxes, wherein the server apparatus is controlled by another processor and includes: a document storing apparatus registering portion for registering information on each of the document storing apparatuses; a box information obtaining portion for obtaining information on the boxes from each of the document storing apparatuses; a storing request receiving portion for receiving a storing request of the document; a storing destination deciding portion for automatically deciding which one of the plurality of document storing apparatuses and which one of the plurality of boxes thereof for actually storing the document, based on any one or more of information including information on the document corresponding to the storing request received by the storing request receiving portion, information on the document storing apparatuses registered in the document storing apparatus registering portion, and information on the boxes obtained by the box information obtaining portion; and a controller for transmitting the document to the one of the document storing apparatuses having the one of the boxes selected by the storing destination deciding portion and making the one document storing apparatus store the document in the one of the boxes. 7. The document administration system as recited in claim 1 , wherein the one document storing apparatus storing the document is not the document storing apparatus, from among the plurality of document storing apparatuses, for outputting the document. | 0.77669 |
8,082,215 | 5 | 6 | 5. The system of claim 2 , wherein said inference data reception module configured to receive at least the first inference data and the second inference data comprises: an inference data reception module configured to receive an indication of an action executed in connection with the particular item and performed, at least in part, by the first authoring user. | 5. The system of claim 2 , wherein said inference data reception module configured to receive at least the first inference data and the second inference data comprises: an inference data reception module configured to receive an indication of an action executed in connection with the particular item and performed, at least in part, by the first authoring user. 6. The system of claim 5 , wherein said inference data reception module configured to receive an indication of an action executed in connection with the particular item and performed, at least in part, by the first authoring user comprises: an inference data reception module configured to receive an indication of another action executed in connection with the particular item and performed, at least in part, by the second authoring user. | 0.834337 |
8,037,041 | 17 | 18 | 17. An apparatus comprising: means for receiving real-time textual input entered into a textual source to generate the textual source; means for parsing the real-time textual input into keywords or phrases; means for aggregating the keywords or phrases based on one or more parsing rules for parsing the real-time textual input; means for formatting the aggregated keywords or phrases into search submissions, wherein the aggregating and formatting means are configured to operate as a background process, contemporaneously with entry of the real-time textual input being entered into the textual source; means for submitting the search submissions to a search facility, the search facility being separate and distinct from the apparatus; means for receiving search results responsive to the search submissions; and means for displaying the textual source and search results in proximity to the textual source to enhance the textual source. | 17. An apparatus comprising: means for receiving real-time textual input entered into a textual source to generate the textual source; means for parsing the real-time textual input into keywords or phrases; means for aggregating the keywords or phrases based on one or more parsing rules for parsing the real-time textual input; means for formatting the aggregated keywords or phrases into search submissions, wherein the aggregating and formatting means are configured to operate as a background process, contemporaneously with entry of the real-time textual input being entered into the textual source; means for submitting the search submissions to a search facility, the search facility being separate and distinct from the apparatus; means for receiving search results responsive to the search submissions; and means for displaying the textual source and search results in proximity to the textual source to enhance the textual source. 18. The apparatus of claim 17 , further comprising means for determining whether a connection to the search facility is available. | 0.901366 |
8,719,701 | 17 | 20 | 17. A machine readable medium storing a program which when executed by at least one processing unit analyzes a document that comprises a plurality of glyphs, each glyph having location coordinates, the program comprising sets of instructions for: identifying sets of glyphs to associate as words; defining a potential alignment guide for a set of words in different text lines based on the location coordinates of the glyphs at the edges of the words; identifying a plurality of alignment elements within the potential alignment guide by removing particular locations from the potential alignment guide based on an analysis of the group of vertically aligned words within each set of text lines, wherein each particular location of the potential alignment guide corresponds to a particular text line, each identified alignment element indicating a particular alignment for a set of text lines that contain a group of vertically aligned words; using the identified alignment elements to specify additional structural elements within the document; and defining a structured document based on the glyphs, the aligned groups of text lines, and the structural elements. | 17. A machine readable medium storing a program which when executed by at least one processing unit analyzes a document that comprises a plurality of glyphs, each glyph having location coordinates, the program comprising sets of instructions for: identifying sets of glyphs to associate as words; defining a potential alignment guide for a set of words in different text lines based on the location coordinates of the glyphs at the edges of the words; identifying a plurality of alignment elements within the potential alignment guide by removing particular locations from the potential alignment guide based on an analysis of the group of vertically aligned words within each set of text lines, wherein each particular location of the potential alignment guide corresponds to a particular text line, each identified alignment element indicating a particular alignment for a set of text lines that contain a group of vertically aligned words; using the identified alignment elements to specify additional structural elements within the document; and defining a structured document based on the glyphs, the aligned groups of text lines, and the structural elements. 20. The machine readable medium of claim 17 , wherein the identified alignment elements are right and left alignment guides for the text lines. | 0.792151 |
8,436,753 | 4 | 6 | 4. The method as in claim 1 wherein the first audio data is stored within the first audio file in a plurality of fixed-size access units and wherein generating the universal representation comprises packing the fixed-size access units into a plurality of fixed-size audio data structures, the fixed-size audio data structures of the universal representation being larger than or equal to the fixed-size access units of the first audio file. | 4. The method as in claim 1 wherein the first audio data is stored within the first audio file in a plurality of fixed-size access units and wherein generating the universal representation comprises packing the fixed-size access units into a plurality of fixed-size audio data structures, the fixed-size audio data structures of the universal representation being larger than or equal to the fixed-size access units of the first audio file. 6. The method as in claim 4 wherein the bookkeeping data is packed into the fixed-size audio data structures of the universal representation along with the fixed-size access units. | 0.914204 |
9,245,008 | 7 | 11 | 7. A computer program product for maintaining a corpus in a natural language processing (NLP) system, the computer program product comprising: a computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code comprising computer-readable program code configured to: receive first and second queries for processing by a NLP system; identify first and second data sources related to the first and second queries by associating one or more elements of the first and second queries to the first and second data sources; and upon determining that the first related data source is not in the corpus of the NLP system, ingest the first related data source into the corpus, wherein the corpus includes a data store comprising information from one or more data sources formatted and stored into one or more objects; and upon determining that the second related data source is in the corpus of the NLP system: before searching the second related data source for at least one answer to the second query, determine a time-sensitivity value associated with the second query indicating a degree to which an accurate answer to the second query is dependent on a staleness of the second related data source, and upon determining that the time-sensitivity value satisfies a staleness threshold, re-ingest the second related data source into the corpus. | 7. A computer program product for maintaining a corpus in a natural language processing (NLP) system, the computer program product comprising: a computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code comprising computer-readable program code configured to: receive first and second queries for processing by a NLP system; identify first and second data sources related to the first and second queries by associating one or more elements of the first and second queries to the first and second data sources; and upon determining that the first related data source is not in the corpus of the NLP system, ingest the first related data source into the corpus, wherein the corpus includes a data store comprising information from one or more data sources formatted and stored into one or more objects; and upon determining that the second related data source is in the corpus of the NLP system: before searching the second related data source for at least one answer to the second query, determine a time-sensitivity value associated with the second query indicating a degree to which an accurate answer to the second query is dependent on a staleness of the second related data source, and upon determining that the time-sensitivity value satisfies a staleness threshold, re-ingest the second related data source into the corpus. 11. The computer program product of claim 7 , wherein determining that the time-sensitivity value satisfies the staleness threshold, further comprises computer-readable program code configured to determine whether the second related data source is stale by comparing a time-stamp associated with the second related data source to the time-sensitivity value. | 0.723256 |
6,014,428 | 5 | 13 | 5. The voice response system comprising: a first window field configured to accept a text entry representative of a desired voice prompt, wherein said text entry includes at least one word which is to be included in the voice prompt; a window activation field used to accept a user input which initiates a search that attempts to match said at least one word of said text entry with at least one word of an existing voice prompt; and a window output area configured to display at least a matching existing voice prompt portion. | 5. The voice response system comprising: a first window field configured to accept a text entry representative of a desired voice prompt, wherein said text entry includes at least one word which is to be included in the voice prompt; a window activation field used to accept a user input which initiates a search that attempts to match said at least one word of said text entry with at least one word of an existing voice prompt; and a window output area configured to display at least a matching existing voice prompt portion. 13. The voice response system as defined in claim 5, further comprising a telephony application programming interface (TAPI) compliant device used to connect said voice response system with a telephone line. | 0.790061 |
9,911,415 | 1 | 2 | 1. An apparatus comprising: a voice input device associated with an information handling device; a processor coupled to the voice input device; a memory that stores code executable by the processor, the code comprising: code that detects a voice command spoken by a first user during a first voice-related task performed by the first user on the information handling device, the voice command intended to interrupt the first voice-related task, the interrupt voice command detected using the voice input device, the first voice-related task comprising a voice call application for communicating with a second user, wherein delivery of input provided by the first user to the voice call application during a conversation with the second user is delayed by a predetermined amount of time; code that pauses the first voice-related task in response to the first user speaking the interrupt voice command during the conversation with the second user such that the interrupt voice command is not received by the voice call application due to the delayed delivery of the input to the voice call application; and code that executes a second voice-related task associated with the interrupt voice command on the information handling device, the second voice-related task automatically executed in response to the first voice-related task being paused, the second voice-related task not correcting voice input received by the first voice-related task. | 1. An apparatus comprising: a voice input device associated with an information handling device; a processor coupled to the voice input device; a memory that stores code executable by the processor, the code comprising: code that detects a voice command spoken by a first user during a first voice-related task performed by the first user on the information handling device, the voice command intended to interrupt the first voice-related task, the interrupt voice command detected using the voice input device, the first voice-related task comprising a voice call application for communicating with a second user, wherein delivery of input provided by the first user to the voice call application during a conversation with the second user is delayed by a predetermined amount of time; code that pauses the first voice-related task in response to the first user speaking the interrupt voice command during the conversation with the second user such that the interrupt voice command is not received by the voice call application due to the delayed delivery of the input to the voice call application; and code that executes a second voice-related task associated with the interrupt voice command on the information handling device, the second voice-related task automatically executed in response to the first voice-related task being paused, the second voice-related task not correcting voice input received by the first voice-related task. 2. The apparatus of claim 1 , further comprising code that restarts the first voice-related task in response to the second-voice related task being completed. | 0.692607 |
9,703,871 | 1 | 5 | 1. A computer-implemented method comprising: receiving a query comprising a first plurality of terms in a first order; dividing the query into a plurality of combinations of n-grams, wherein each n-gram is a subset of terms of the first plurality of terms, the subset of terms being in a same order as in the first plurality of terms; for each combination of n-grams: determining, for each n-gram of the combination, a probability that the n-gram is a related phrase, wherein an n-gram is a related phrase when the terms of the n-gram are found together in training data more frequently than those terms would be found together if they were not associated with each other; summing the probabilities of each n-gram of the combination; identifying a particular combination of each combination of n-grams based on the summed probability of each combination, wherein the particular combination has a largest summed probability of the combinations; identifying first and second components of the query based on the identified particular combination, wherein each component comprises one or more of the terms of the query in order and the two components do not share a term from the query, and wherein the terms of the first component appear in the first order before the terms of the second component in the query; determining, for each of the first and second components, a plurality of different respective component refinements; and combining the component refinements to create a plurality of candidate query refinements for the query, including, for each candidate query refinement: combining a first component refinement for the first component with a second component refinement for the second component to create the candidate query refinement for the query, the candidate query refinement comprising a second plurality of terms in a second order and different from the first plurality of terms in the first order, wherein the first component refinement appears in the second order before the second component refinement in the query refinement; filtering the candidate query refinements of the query to create a subset of the candidate query refinements for the query, including: determining for each candidate query refinement a score based on a click-through rate for the candidate query refinement, wherein the click-through rate is a total number of clicks on a plurality of documents presented in response to the candidate query refinement divided by a total number of impressions for the plurality of documents presented in response to the candidate query refinement; and removing from the plurality of candidate query refinements any candidate query refinements having a score not satisfying a threshold score; and providing a plurality of the subset of the candidate query refinements in response to receiving the query. | 1. A computer-implemented method comprising: receiving a query comprising a first plurality of terms in a first order; dividing the query into a plurality of combinations of n-grams, wherein each n-gram is a subset of terms of the first plurality of terms, the subset of terms being in a same order as in the first plurality of terms; for each combination of n-grams: determining, for each n-gram of the combination, a probability that the n-gram is a related phrase, wherein an n-gram is a related phrase when the terms of the n-gram are found together in training data more frequently than those terms would be found together if they were not associated with each other; summing the probabilities of each n-gram of the combination; identifying a particular combination of each combination of n-grams based on the summed probability of each combination, wherein the particular combination has a largest summed probability of the combinations; identifying first and second components of the query based on the identified particular combination, wherein each component comprises one or more of the terms of the query in order and the two components do not share a term from the query, and wherein the terms of the first component appear in the first order before the terms of the second component in the query; determining, for each of the first and second components, a plurality of different respective component refinements; and combining the component refinements to create a plurality of candidate query refinements for the query, including, for each candidate query refinement: combining a first component refinement for the first component with a second component refinement for the second component to create the candidate query refinement for the query, the candidate query refinement comprising a second plurality of terms in a second order and different from the first plurality of terms in the first order, wherein the first component refinement appears in the second order before the second component refinement in the query refinement; filtering the candidate query refinements of the query to create a subset of the candidate query refinements for the query, including: determining for each candidate query refinement a score based on a click-through rate for the candidate query refinement, wherein the click-through rate is a total number of clicks on a plurality of documents presented in response to the candidate query refinement divided by a total number of impressions for the plurality of documents presented in response to the candidate query refinement; and removing from the plurality of candidate query refinements any candidate query refinements having a score not satisfying a threshold score; and providing a plurality of the subset of the candidate query refinements in response to receiving the query. 5. The method of claim 1 , further comprising ranking the plurality of candidate query refinements by commonality with highest inverse document frequency components of the query. | 0.882275 |
6,023,670 | 2 | 7 | 2. The method as recited in claim 1 wherein the comparing, accumulating, correlating and identifying steps are practiced for a plurality of candidate languages each with a respective word list and a respective reference count for each word in the word list and the language of the document is identified as the candidate language having a reference count which generates a highest correlation score. | 2. The method as recited in claim 1 wherein the comparing, accumulating, correlating and identifying steps are practiced for a plurality of candidate languages each with a respective word list and a respective reference count for each word in the word list and the language of the document is identified as the candidate language having a reference count which generates a highest correlation score. 7. The method as recited in claim 2 wherein the process stops when a highest correlation score for a first respective candidate language exceeds a next highest correlation score for a second candidate language by a predetermined amount. | 0.875527 |
9,997,161 | 17 | 19 | 17. One or more computer-readable storage media of a tangible article of manufacture encoding computer-executable instructions for executing on one or more processors and circuits of a speech recognition device a process to transform acoustic utterances into text, the process comprising: receiving one or more acoustic utterances via an acoustic sensor configured of the speech recognition device; storing a set of one or more acoustic models having trained one or more confidence classifiers and one or more acceptance metrics defining at least one recognition acceptance condition; generating a first speech recognition confidence classifier score corresponding to the one or more received acoustic utterances and recognized text based on a first confidence classifier; generating a second speech recognition confidence classifier score corresponding to the one or more received acoustic utterances and the recognized text based on a second confidence classifier; mapping a distribution within an output range of the second confidence classifier to a distribution within an output range of the first confidence classifier, the mapped distribution including a mapped speech recognition confidence classifier score for the second confidence classifier that more accurately satisfies the recognition acceptance condition than a corresponding score from the first confidence classifier; and outputting a signal representing new recognized text for a newly-received acoustic utterance as accepted text responsive to a determination that a mapped speech recognition confidence classifier score of the second confidence classifier for the newly-received acoustic utterance satisfies the recognition acceptance condition. | 17. One or more computer-readable storage media of a tangible article of manufacture encoding computer-executable instructions for executing on one or more processors and circuits of a speech recognition device a process to transform acoustic utterances into text, the process comprising: receiving one or more acoustic utterances via an acoustic sensor configured of the speech recognition device; storing a set of one or more acoustic models having trained one or more confidence classifiers and one or more acceptance metrics defining at least one recognition acceptance condition; generating a first speech recognition confidence classifier score corresponding to the one or more received acoustic utterances and recognized text based on a first confidence classifier; generating a second speech recognition confidence classifier score corresponding to the one or more received acoustic utterances and the recognized text based on a second confidence classifier; mapping a distribution within an output range of the second confidence classifier to a distribution within an output range of the first confidence classifier, the mapped distribution including a mapped speech recognition confidence classifier score for the second confidence classifier that more accurately satisfies the recognition acceptance condition than a corresponding score from the first confidence classifier; and outputting a signal representing new recognized text for a newly-received acoustic utterance as accepted text responsive to a determination that a mapped speech recognition confidence classifier score of the second confidence classifier for the newly-received acoustic utterance satisfies the recognition acceptance condition. 19. The one or more tangible computer-readable storage media of claim 17 wherein the mapping operation comprises: polynomial-based mapping generating the mapped speech recognition confidence classifier score that equally or more accurately satisfies the recognition acceptance condition than the first speech recognition confidence classifier score. | 0.751778 |
8,032,515 | 1 | 9 | 1. A computerized method comprising: receiving a plurality of search criteria from a plurality of users respectively, the plurality of search criteria including a first search criterion that is respectively received from at least two of the plurality of users, the plurality of search criteria to be applied to a common information repository; associating source information and category information with each of the plurality of search criteria, the category information identifying a category of a plurality of categories into which information in the common information repository is categorized, and the source information identifying a source of a plurality of sources via which the plurality of search criteria are received and communicated to enable the receiving of the plurality of search criteria; storing each of the plurality of search criteria in association with the source information and the category information, the storing done at least in part through the use of one or more processors; and maintaining a count of instances of the first search criterion received from the at least two of the plurality of users for each of a plurality of unique source and category information combinations. | 1. A computerized method comprising: receiving a plurality of search criteria from a plurality of users respectively, the plurality of search criteria including a first search criterion that is respectively received from at least two of the plurality of users, the plurality of search criteria to be applied to a common information repository; associating source information and category information with each of the plurality of search criteria, the category information identifying a category of a plurality of categories into which information in the common information repository is categorized, and the source information identifying a source of a plurality of sources via which the plurality of search criteria are received and communicated to enable the receiving of the plurality of search criteria; storing each of the plurality of search criteria in association with the source information and the category information, the storing done at least in part through the use of one or more processors; and maintaining a count of instances of the first search criterion received from the at least two of the plurality of users for each of a plurality of unique source and category information combinations. 9. The computerized method of claim 1 , wherein each search criterion of the plurality of search criteria is received as part of a search query. | 0.896104 |
8,121,902 | 1 | 4 | 1. A method comprising: under control of one or more computing systems of a merchant website, the one or more computing systems configured with executable instructions, receiving, from a user of the merchant website and at the one or more computing systems, an image that illustrates an item having a corresponding item detail page within an electronic catalog; causing display of the image to the user by the one or more computing systems; receiving, from the user and at the one or more computing systems, a selection of the illustrated item; responsive to receiving the selection, causing display of a user interface by the one or more computing systems to allow the user to search the electronic catalog for the item; receiving, from the user and at the one or more computing systems, a selection of the item within the electronic catalog; and associating, by the one or more computing systems, the illustrated item with a link to the item detail page within the electronic catalog. | 1. A method comprising: under control of one or more computing systems of a merchant website, the one or more computing systems configured with executable instructions, receiving, from a user of the merchant website and at the one or more computing systems, an image that illustrates an item having a corresponding item detail page within an electronic catalog; causing display of the image to the user by the one or more computing systems; receiving, from the user and at the one or more computing systems, a selection of the illustrated item; responsive to receiving the selection, causing display of a user interface by the one or more computing systems to allow the user to search the electronic catalog for the item; receiving, from the user and at the one or more computing systems, a selection of the item within the electronic catalog; and associating, by the one or more computing systems, the illustrated item with a link to the item detail page within the electronic catalog. 4. A method as recited in claim 1 , where the selection of the illustrated item in the image is a first selection, and further comprising: receiving a second selection of the illustrated item after the associating; and enabling selection of the link to the item detail page or serving the item detail page responsive to the receiving of the second selection. | 0.501393 |
9,141,698 | 2 | 3 | 2. The method of claim 1 , further comprising associating supplemental information with the new entry created in the dietary log, wherein the supplemental information comprises at least one of an image of the physical object, information derived from the image of the physical object, wirelessly received information, a machine readable code associated with the physical object, information based on the machine readable code, or contextual traits related to the physical object. | 2. The method of claim 1 , further comprising associating supplemental information with the new entry created in the dietary log, wherein the supplemental information comprises at least one of an image of the physical object, information derived from the image of the physical object, wirelessly received information, a machine readable code associated with the physical object, information based on the machine readable code, or contextual traits related to the physical object. 3. The method of claim 2 , wherein the contextual traits comprise at least one of a location, a place, a time, a source, a related entry, a person, people, a group, a tag, an identity, sensor data, a media file, an audio file, physical data relating to the first mobile device, or derived data. | 0.791785 |
8,423,541 | 23 | 30 | 23. A computer-readable memory device that stores computer-executable instructions, the computer-readable memory device comprising: one or more instructions to search a collection of documents, based on a search query, to identify a set of search result documents; one or more instructions to receive a request to save a selected search result document of the plurality of search result documents; one or more instructions to save information associated with the selected search result document in response to the request to save the selected search result document; one or more instructions to identify a particular document that is similar to the selected search result document based on the saved information and, where the one or more instructions to identify the particular document that is similar to the selected search result document includes at least two of: one or more instructions to determine whether the particular document and the selected search result document have a plurality of outgoing links that point to the same documents, one or more instructions to determine whether the particular document and the selected search result document have a plurality of incoming links that come from the same documents, one or more instructions to determine whether the particular document and the selected search result document have a same format, or one or more instructions to determine whether the particular document and the selected search result document have a same layout; and one or more instructions to boost, based on saving the information associated with the selected search result document and identifying the particular document as similar to the selected search result document, a score for the selected search result document and a score for the particular document for subsequent searches involving the search query. | 23. A computer-readable memory device that stores computer-executable instructions, the computer-readable memory device comprising: one or more instructions to search a collection of documents, based on a search query, to identify a set of search result documents; one or more instructions to receive a request to save a selected search result document of the plurality of search result documents; one or more instructions to save information associated with the selected search result document in response to the request to save the selected search result document; one or more instructions to identify a particular document that is similar to the selected search result document based on the saved information and, where the one or more instructions to identify the particular document that is similar to the selected search result document includes at least two of: one or more instructions to determine whether the particular document and the selected search result document have a plurality of outgoing links that point to the same documents, one or more instructions to determine whether the particular document and the selected search result document have a plurality of incoming links that come from the same documents, one or more instructions to determine whether the particular document and the selected search result document have a same format, or one or more instructions to determine whether the particular document and the selected search result document have a same layout; and one or more instructions to boost, based on saving the information associated with the selected search result document and identifying the particular document as similar to the selected search result document, a score for the selected search result document and a score for the particular document for subsequent searches involving the search query. 30. The computer-readable memory device of claim 23 , where the one or more instructions to identify that the particular document is similar to the selected search result document, includes: one or more instructions to determine that the particular document and the selected search result document are located on a same web site, one or more instructions to determine that the particular document and the selected search result document have a same ratio of images to text, one or more instructions to determine that a majority of words, in the particular document and the selected search result document, match, one or more instructions to determine that a majority of uncommon words, in the particular document and the selected search result document, match, one or more instructions to determine that the particular document and the selected search result document have a plurality of outgoing links pointing to the same documents, one or more instructions to determine that the particular document and the selected search result document have a plurality of incoming links coming from the same documents, one or more instructions to determine that the particular document and the selected search result document have same meta-data tags, one or more instructions to determine that the particular document and the selected search result document have a same format, and one or more instructions to determine that the particular document and the selected search result document have a same layout. | 0.632958 |
9,094,731 | 13 | 14 | 13. The multimedia apparatus of claim 12 , wherein the pre-stored keyword is displayed as one of a text icon and a photographic icon. | 13. The multimedia apparatus of claim 12 , wherein the pre-stored keyword is displayed as one of a text icon and a photographic icon. 14. The multimedia apparatus of claim 13 , wherein the input unit receives a user input indicating a type of the displayed icon. | 0.927355 |
8,523,572 | 1 | 2 | 1. A method for communicating visual images to a handicapped person, said method comprising the steps of: providing at least one device for physically transmitting information to said handicapped person; providing information about said visual images to said handicapped person using said at least one device; and said information providing step comprising delivering a physical signal representative of a key word describing a portion of a visual image to a first part of a body of said handicapped person using said at least one device and further comprising transmitting at least one physical input describing a dynamic element associated with said key word to a second part of the body of said handicapped person; and wherein Dividing the fingers of a hand of said handicapped person into a first group consisting of a pointer finger and a middle finger and into a second group consisting of a ring finger and a pinky and said transmitting step comprises transmitting information about a bad character to one of said fingers of said first group and transmitting information about a good character to one of said fingers of said second group. | 1. A method for communicating visual images to a handicapped person, said method comprising the steps of: providing at least one device for physically transmitting information to said handicapped person; providing information about said visual images to said handicapped person using said at least one device; and said information providing step comprising delivering a physical signal representative of a key word describing a portion of a visual image to a first part of a body of said handicapped person using said at least one device and further comprising transmitting at least one physical input describing a dynamic element associated with said key word to a second part of the body of said handicapped person; and wherein Dividing the fingers of a hand of said handicapped person into a first group consisting of a pointer finger and a middle finger and into a second group consisting of a ring finger and a pinky and said transmitting step comprises transmitting information about a bad character to one of said fingers of said first group and transmitting information about a good character to one of said fingers of said second group. 2. A method according to claim 1 , wherein said delivering step comprises delivering said key word signal in Morse code form to said handicapped person via a said first body part. | 0.838739 |
9,037,519 | 17 | 20 | 17. A non-transitory computer readable medium comprising computer-executable instructions that, in response to execution, cause a system comprising a processor to perform operations, comprising: based on simulation data that represents an environment of a set of vehicles within a specified area, determining parameter data indicative of a set of traffic parameters; training, based on the set of traffic parameters, a cascaded two-tier classifier that is generated based on combining a first support vector machine classifier and a first multilayer perceptron classifier; and classifying a state of traffic within the specified area based on a combining the cascaded two-tier classifier with a second support vector machine classifier and a second multilayer perceptron classifier. | 17. A non-transitory computer readable medium comprising computer-executable instructions that, in response to execution, cause a system comprising a processor to perform operations, comprising: based on simulation data that represents an environment of a set of vehicles within a specified area, determining parameter data indicative of a set of traffic parameters; training, based on the set of traffic parameters, a cascaded two-tier classifier that is generated based on combining a first support vector machine classifier and a first multilayer perceptron classifier; and classifying a state of traffic within the specified area based on a combining the cascaded two-tier classifier with a second support vector machine classifier and a second multilayer perceptron classifier. 20. The non-transitory computer readable medium of claim 17 , wherein the combining of the first support vector machine classifier and the first multilayer perceptron classifier is based on Dempster-Shafer theory of evidence. | 0.786122 |
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