sentence1
stringlengths 40
15.9k
| sentence2
stringlengths 88
20k
| label
float64 0.5
0.99
|
|---|---|---|
2. A computer-readable medium comprising software, which when executed by a computer system causes the computer system to perform operations in a computing environment to generate a test in a test environment, the operations comprising: specifying, from within the test environment, a plurality of test elements within an iterations part of the test, the plurality of test elements including: a first test element being a simulation model having a block property, the model executed from within a second environment that is separate from the test environment, and a second test element that is not a simulation model, the second test element being executable; generating, from within the test environment, at least one test condition for the test, the at least one test condition specifying a number of values for the block property of the simulation model; specifying at least one metric setting for the simulation model; defining a test variable within the test environment; mapping, from within the test environment, the at least one metric setting of the simulation model to the test variable; running, by a computer, the test from within the test environment such that the simulation model is executed within the second environment for a plurality of iterations based on the number of block property values specified in the at least one test condition, and the second test element is executed for the plurality of iterations; generating, during each iteration of the simulation model, metric data based on the at least one metric setting for the simulation model, the metric data generated within the second environment; assigning the metric data generated in the second environment to the test variable of the test environment as a result of the mapping of the at least one metric setting of the simulation model to the test variable so that the metric data from the iterations of the simulation model is accumulated; and providing access to the accumulated metric data from within the test environment. | 2. A computer-readable medium comprising software, which when executed by a computer system causes the computer system to perform operations in a computing environment to generate a test in a test environment, the operations comprising: specifying, from within the test environment, a plurality of test elements within an iterations part of the test, the plurality of test elements including: a first test element being a simulation model having a block property, the model executed from within a second environment that is separate from the test environment, and a second test element that is not a simulation model, the second test element being executable; generating, from within the test environment, at least one test condition for the test, the at least one test condition specifying a number of values for the block property of the simulation model; specifying at least one metric setting for the simulation model; defining a test variable within the test environment; mapping, from within the test environment, the at least one metric setting of the simulation model to the test variable; running, by a computer, the test from within the test environment such that the simulation model is executed within the second environment for a plurality of iterations based on the number of block property values specified in the at least one test condition, and the second test element is executed for the plurality of iterations; generating, during each iteration of the simulation model, metric data based on the at least one metric setting for the simulation model, the metric data generated within the second environment; assigning the metric data generated in the second environment to the test variable of the test environment as a result of the mapping of the at least one metric setting of the simulation model to the test variable so that the metric data from the iterations of the simulation model is accumulated; and providing access to the accumulated metric data from within the test environment. 16. The computer-readable medium as in claim 2 , wherein the at least one metric setting is provided by a user. | 0.770968 |
1. A computer-implemented method for a query tool having distinct graphical user interfaces, to automatically determine groupings, Boolean operators, and operator precedence to use in generating a database query, the computer-implemented method comprising: providing the distinct graphical user interfaces, which comprise a composition interface and an approval interface, the composition interface including a first control comprising an add-condition button to add a new query condition to include in the database query, the composition interface further including a second control comprising a summary button to cause output, via the approval interface, of the proposed database query for approval, the approval interface including a third control comprising an accept button to accept the proposed database query for execution, wherein the approval interface is output only upon activation of the summary button, wherein the composition interface is output prior to activation of the summary button; receiving, via at least the add-condition button of the composition interface, input specifying a plurality of query conditions to include in the database query to be generated, wherein each query condition specifies: (i) a database field specifying a column of an underlying table of a plurality of underlying tables in a relational database; (ii) a comparison operator; and (iii) a comparison value; responsive to activation of the summary button of the composition interface, automatically grouping the plurality of query conditions into one or more groups of query conditions by the query tool even in absence of user input explicitly specifying how to group the plurality of query conditions, wherein each group includes query conditions specifying the same database field, wherein each of the plurality of query conditions is to be included in a database query to be generated by assigning a set of Boolean operators to connect the query conditions in each of the one or more groups and to connect each of one or more groups of the query conditions; defining a set of rules including: (i) a first rule specifying to automatically connect different query conditions within each group using a first specified operator; and (ii) a second rule specifying to automatically connect different groups of query conditions using a second specified operator; subsequent to automatically grouping the plurality of query conditions, generating a proposed database query by operation of one or more computer processors when executing the query tool, by automatically connecting the grouped query conditions based on the defined set of rules, including: (i) connecting different query conditions within each group using the first specified operator; and (ii) connecting different groups of query conditions using the second specified operator; thereby automatically determining Boolean operators and operator precedence for the proposed database query; outputting, by the query tool via the approval interface, the proposed database query including the first specified operator connecting different conditions within each group of query conditions and further including the second specified operator connecting different groups of query conditions; and subsequent to activation of the accept button of the approval interface, causing execution of the database query to obtain a set of query results satisfying the set of query conditions, whereafter the set of query results is output by the query tool; wherein the first specified operator comprises a logical “OR” operator, wherein the second specified operator comprises a logical “AND” operator. | 1. A computer-implemented method for a query tool having distinct graphical user interfaces, to automatically determine groupings, Boolean operators, and operator precedence to use in generating a database query, the computer-implemented method comprising: providing the distinct graphical user interfaces, which comprise a composition interface and an approval interface, the composition interface including a first control comprising an add-condition button to add a new query condition to include in the database query, the composition interface further including a second control comprising a summary button to cause output, via the approval interface, of the proposed database query for approval, the approval interface including a third control comprising an accept button to accept the proposed database query for execution, wherein the approval interface is output only upon activation of the summary button, wherein the composition interface is output prior to activation of the summary button; receiving, via at least the add-condition button of the composition interface, input specifying a plurality of query conditions to include in the database query to be generated, wherein each query condition specifies: (i) a database field specifying a column of an underlying table of a plurality of underlying tables in a relational database; (ii) a comparison operator; and (iii) a comparison value; responsive to activation of the summary button of the composition interface, automatically grouping the plurality of query conditions into one or more groups of query conditions by the query tool even in absence of user input explicitly specifying how to group the plurality of query conditions, wherein each group includes query conditions specifying the same database field, wherein each of the plurality of query conditions is to be included in a database query to be generated by assigning a set of Boolean operators to connect the query conditions in each of the one or more groups and to connect each of one or more groups of the query conditions; defining a set of rules including: (i) a first rule specifying to automatically connect different query conditions within each group using a first specified operator; and (ii) a second rule specifying to automatically connect different groups of query conditions using a second specified operator; subsequent to automatically grouping the plurality of query conditions, generating a proposed database query by operation of one or more computer processors when executing the query tool, by automatically connecting the grouped query conditions based on the defined set of rules, including: (i) connecting different query conditions within each group using the first specified operator; and (ii) connecting different groups of query conditions using the second specified operator; thereby automatically determining Boolean operators and operator precedence for the proposed database query; outputting, by the query tool via the approval interface, the proposed database query including the first specified operator connecting different conditions within each group of query conditions and further including the second specified operator connecting different groups of query conditions; and subsequent to activation of the accept button of the approval interface, causing execution of the database query to obtain a set of query results satisfying the set of query conditions, whereafter the set of query results is output by the query tool; wherein the first specified operator comprises a logical “OR” operator, wherein the second specified operator comprises a logical “AND” operator. 3. The computer-implemented method of claim 1 , wherein the query tool is operatively connected to a database management system that has a query engine component configured to execute the modified database query to obtain the set of query results satisfying the set of query conditions, wherein the approval interface further includes a fourth control to reject execution of the proposed database query, wherein responsive to activation of the fourth control of the approval interface, the database query is not executed, wherein the computer-implemented method further comprises: subsequent to outputting the proposed database query, and responsive to receiving a request specifying at least a first modification to the proposed database query, modifying the proposed database query based on at least the first specified modification, wherein the proposed database query is modifiable by: (i) removing at least one condition from one of the groups of query conditions; (ii) moving at least one condition from a first one of the groups to a second one of the groups; (iii) changing the first specified operator to the second specified operator; and (iv) changing the second specified operator to the first specified operator. | 0.5 |
1. A method implemented by data processing apparatus, the method comprising: receiving a query from a client device wherein the query specifies a first product by specifying a product brand and a product model; determining, using the product brand and the product model, one or more specific product attributes associated with the first product; determining a respective correspondence between the one or more specific product attributes associated with the first product and one or more category attributes associated with one or more product categories, each product category having a predetermined plurality of category attributes; identifying, by data processing apparatus, a product category associated with the first product based on the determined respective correspondence; identifying a first set of one or more second products, the first set of second products having one or more attributes corresponding to the one or more category attributes associated with the product category of the first product; calculating, by data processing apparatus, respective distances between the one or more specific product attributes of the first product and corresponding attributes of products in the first set of second products; determining that one or more of the calculated respective distances satisfy a threshold; in response to the determining, identifying at least one product in the first set of second products as a suggested product based on the determination that the threshold is satisfied by one of the calculated respective distances; and providing the at least one identified product as a suggestion in response to the query. | 1. A method implemented by data processing apparatus, the method comprising: receiving a query from a client device wherein the query specifies a first product by specifying a product brand and a product model; determining, using the product brand and the product model, one or more specific product attributes associated with the first product; determining a respective correspondence between the one or more specific product attributes associated with the first product and one or more category attributes associated with one or more product categories, each product category having a predetermined plurality of category attributes; identifying, by data processing apparatus, a product category associated with the first product based on the determined respective correspondence; identifying a first set of one or more second products, the first set of second products having one or more attributes corresponding to the one or more category attributes associated with the product category of the first product; calculating, by data processing apparatus, respective distances between the one or more specific product attributes of the first product and corresponding attributes of products in the first set of second products; determining that one or more of the calculated respective distances satisfy a threshold; in response to the determining, identifying at least one product in the first set of second products as a suggested product based on the determination that the threshold is satisfied by one of the calculated respective distances; and providing the at least one identified product as a suggestion in response to the query. 2. The method of claim 1 in which the query comprises one or more of a product brand and a product model. | 0.586913 |
16. The one or more device-readable media of claim 15 , wherein the one or more links include a link to an image. | 16. The one or more device-readable media of claim 15 , wherein the one or more links include a link to an image. 17. The one or more device-readable media of claim 16 , wherein the steps further comprise downloading the image and formatting the image to fit a screen size of the mobile device. | 0.884123 |
1. One or more computer storage media storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method, the method comprising: accessing social data comprising a plurality of social networking messages from one or more social networking services; collectively analyzing text of the social networking messages to identify an action discussed by users in the text of multiple social networking messages from the plurality of social networking messages; determining to index information regarding the action based on identifying the action in the text of multiple social networking messages; identifying at least one URL for the action, each URL corresponding with a webpage at which the action may be performed; and storing information regarding the action and the at least one URL for providing deeplinks for search results. | 1. One or more computer storage media storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method, the method comprising: accessing social data comprising a plurality of social networking messages from one or more social networking services; collectively analyzing text of the social networking messages to identify an action discussed by users in the text of multiple social networking messages from the plurality of social networking messages; determining to index information regarding the action based on identifying the action in the text of multiple social networking messages; identifying at least one URL for the action, each URL corresponding with a webpage at which the action may be performed; and storing information regarding the action and the at least one URL for providing deeplinks for search results. 9. The one or more computer storage media of claim 1 , wherein identifying at least one URL for the action comprises identifying a first URL for the action by: identifying a group of URLs corresponding with the first action; determining a URL pattern from the group of URLs; and identifying the first URL by generating a generic URL based on the URL pattern. | 0.670635 |
5. The method of claim 1 , wherein the applying the system analysis function to the set of data elements to characterize the at least one dataset specification associated with the set of data elements comprises: applying, by the host device, a clustering function to the each data element of the set of data elements to define a set of clusters; and providing, by the host device, an assigned dataset specification to each cluster of the set of clusters. | 5. The method of claim 1 , wherein the applying the system analysis function to the set of data elements to characterize the at least one dataset specification associated with the set of data elements comprises: applying, by the host device, a clustering function to the each data element of the set of data elements to define a set of clusters; and providing, by the host device, an assigned dataset specification to each cluster of the set of clusters. 6. The method of claim 5 , wherein the applying the clustering function to the each data element of the set of data elements to define the set of clusters comprises applying, by the host device, a multi-dimensional clustering function to the each data element of the set of data elements to define the set of clusters. | 0.833083 |
12. A system to determine probable meanings of words input as search query terms, comprising: a networked server to receive an input of at least one search query word; a processor coupled with the networked server to analyze the inputted word and to determine a probable meaning of the word in accordance with a prior probability of probable meanings of the word and a context frequency probability of probable meanings of the word, wherein the prior probability comprises a probability that the word refers to a predetermined meaning irregardless of a query context in which the word is used, which prior probability is derived from previous analysis of documents containing the word, wherein the processor: estimates an expected final probability for the at least one word given the prior probability of the at least one word; derives an inverse combine function that uses the prior probability and the expected final probability to determine the context frequency probability of the at least one word; and uses a combine mathematical function to combine the prior probability and the context frequency probability to produce a final probability of the probable meaning of the at least one search query word; and a memory coupled with the processor to store the prior probabilities and the context frequency probabilities of probable meanings of previously-inputted words; wherein the processor generates search results listings in accordance with the final probability of the probable meaning of the word for presentation to a user. | 12. A system to determine probable meanings of words input as search query terms, comprising: a networked server to receive an input of at least one search query word; a processor coupled with the networked server to analyze the inputted word and to determine a probable meaning of the word in accordance with a prior probability of probable meanings of the word and a context frequency probability of probable meanings of the word, wherein the prior probability comprises a probability that the word refers to a predetermined meaning irregardless of a query context in which the word is used, which prior probability is derived from previous analysis of documents containing the word, wherein the processor: estimates an expected final probability for the at least one word given the prior probability of the at least one word; derives an inverse combine function that uses the prior probability and the expected final probability to determine the context frequency probability of the at least one word; and uses a combine mathematical function to combine the prior probability and the context frequency probability to produce a final probability of the probable meaning of the at least one search query word; and a memory coupled with the processor to store the prior probabilities and the context frequency probabilities of probable meanings of previously-inputted words; wherein the processor generates search results listings in accordance with the final probability of the probable meaning of the word for presentation to a user. 25. The system of claim 12 , wherein the processor calculates enhanced statistics for use in a query analysis in accordance with the probable meaning of the word. | 0.593701 |
43. A computer-readable storage medium having a program recorded therein for causing a computer to execute operations improving relevance of search results, comprising: determining whether an unranked review item has been associated with a reference item; receiving a vote of a human searcher regarding relevance of a ranked review item and the unranked review item to a reference item presented to the human searcher; selecting the human searcher based on a ranking of the human searcher associated with the reference item; modifying a ranking of the ranked review item for the reference item based on the vote; and presenting the review items responsive to a search request matching the reference item in an order based on the ranking. | 43. A computer-readable storage medium having a program recorded therein for causing a computer to execute operations improving relevance of search results, comprising: determining whether an unranked review item has been associated with a reference item; receiving a vote of a human searcher regarding relevance of a ranked review item and the unranked review item to a reference item presented to the human searcher; selecting the human searcher based on a ranking of the human searcher associated with the reference item; modifying a ranking of the ranked review item for the reference item based on the vote; and presenting the review items responsive to a search request matching the reference item in an order based on the ranking. 45. The computer-readable storage medium of claim 43 , wherein the operations executed comprise: weighting the vote based on the ranking of the searcher. | 0.58805 |
1. A method comprising: receiving, from a remote control device via a media device, a request that media content criteria be obtained from a call-back device via an interactive voice response system, the request including identification information associated with the call-back device; initiating a call to the call-back device via the interactive voice response system in response to the request; receiving voice input data via the interactive voice response system, the voice input data received from the call-back device during the initiated call, wherein the voice input data includes the media content criteria; sending a query to a media content database to identify one or more media content items based at least partially on the media content criteria of the voice input data; and sending information associated with the one or more media content items to the media device. | 1. A method comprising: receiving, from a remote control device via a media device, a request that media content criteria be obtained from a call-back device via an interactive voice response system, the request including identification information associated with the call-back device; initiating a call to the call-back device via the interactive voice response system in response to the request; receiving voice input data via the interactive voice response system, the voice input data received from the call-back device during the initiated call, wherein the voice input data includes the media content criteria; sending a query to a media content database to identify one or more media content items based at least partially on the media content criteria of the voice input data; and sending information associated with the one or more media content items to the media device. 8. The method of claim 1 , further comprising: after sending the information associated with the one or more media content items, receiving additional voice input data via the interactive voice response system, the additional voice input data received from the call-back device during the call, wherein the additional voice input data includes additional media content criteria; sending a second query to the media content database to identify one or more second media content items based at least partially on the additional media content criteria of the additional voice input data; and sending additional information associated with the one or more second media content items to the media device. | 0.5 |
1. A computer-implemented method for creating photo stories, comprising: storing a plurality of photo story design templates characterized by attributes of multiple pages and numbers of photos that the photo story design templates are respectively configured to incorporate therein across the multiple pages; obtaining a plurality of photos and metadata associated with the photos by a computer system; analyzing the plurality of photos, or the metadata, or a combination thereof by the computer system to produce an analysis result; subdividing the plurality of photos to produce a group of photos based on the analysis result; automatically selecting, by the computer system, a photo story design template from the plurality of photo story design templates based, at least in part, on number of photos in the group of photos to be placed across the multiple pages; and incorporating the group of photos into the photo story design template across the multiple pages to produce a photo story. | 1. A computer-implemented method for creating photo stories, comprising: storing a plurality of photo story design templates characterized by attributes of multiple pages and numbers of photos that the photo story design templates are respectively configured to incorporate therein across the multiple pages; obtaining a plurality of photos and metadata associated with the photos by a computer system; analyzing the plurality of photos, or the metadata, or a combination thereof by the computer system to produce an analysis result; subdividing the plurality of photos to produce a group of photos based on the analysis result; automatically selecting, by the computer system, a photo story design template from the plurality of photo story design templates based, at least in part, on number of photos in the group of photos to be placed across the multiple pages; and incorporating the group of photos into the photo story design template across the multiple pages to produce a photo story. 12. The computer-implemented method of claim 1 , wherein the metadata include an occasion during which the photos were taken, wherein the step of analyzing comprises: extracting the occasion from the metadata associated with the group of photos; and incorporating the group of photos into the photo story design template at least in part based on the occasion associated with the group of photos. | 0.506405 |
22. The method for adding information about new objects of an arbitrary application domain to the system for storage and retrieval of a plurality of information objects according to claim 1 , comprising the steps of: a) organizing information about new objects in a tree structure thereby creating an information object (IO) in the connected logical storage network of said system, b) associating with each created IO a program agent designed for performing operations on said IO, and a list of links to other IOs on the logical storage network, creating thereby an active unit of storage, c) comparing the IO incorporated into every created AUS with the plurality of other IOs already presented on the connected logical storage network, and determining the metric distance between the IOs based on the comparison results, d) creating for a plurality of those AUSs which IOs are closest by metric distance to the added IO, logical connections to the AUS comprising the added IO, e) for all links in the list of links of the added AUS, recording metric distances to all information objects corresponding to the links, and f) saving the added AUS on one of the computing devices of said system, wherein the IOs are electronic documents in the form of XML documents. | 22. The method for adding information about new objects of an arbitrary application domain to the system for storage and retrieval of a plurality of information objects according to claim 1 , comprising the steps of: a) organizing information about new objects in a tree structure thereby creating an information object (IO) in the connected logical storage network of said system, b) associating with each created IO a program agent designed for performing operations on said IO, and a list of links to other IOs on the logical storage network, creating thereby an active unit of storage, c) comparing the IO incorporated into every created AUS with the plurality of other IOs already presented on the connected logical storage network, and determining the metric distance between the IOs based on the comparison results, d) creating for a plurality of those AUSs which IOs are closest by metric distance to the added IO, logical connections to the AUS comprising the added IO, e) for all links in the list of links of the added AUS, recording metric distances to all information objects corresponding to the links, and f) saving the added AUS on one of the computing devices of said system, wherein the IOs are electronic documents in the form of XML documents. 23. The method according to claim 22 , wherein in generating logical connections, incorporating appropriate links in the link lists of both added and existing active units of storage. | 0.731785 |
3. The method of claim 2 wherein said predetermined characteristic includes said first input being a consonant. | 3. The method of claim 2 wherein said predetermined characteristic includes said first input being a consonant. 5. The method of claim 3 further comprising determining that said consonant is a consonant from among a predetermined group of consonants comprising the letters j, t, m, n, c, l, and s. | 0.902245 |
1. A method for creating a multi-version document for publishing, comprising: identifying a first section of said multi-version document intended for representation in a first published document version; identifying a second section of said multi-version document intended for representation in an alternative published document version; tagging at least the second section of said multi-version document to indicate its association with said alternative published document version, wherein said multi-version document is represented as a graph structure including at least one node characterizing the alternative published document version; and storing at least a portion of the multi-version document as a single digital file including the first and second sections and the at least one node. | 1. A method for creating a multi-version document for publishing, comprising: identifying a first section of said multi-version document intended for representation in a first published document version; identifying a second section of said multi-version document intended for representation in an alternative published document version; tagging at least the second section of said multi-version document to indicate its association with said alternative published document version, wherein said multi-version document is represented as a graph structure including at least one node characterizing the alternative published document version; and storing at least a portion of the multi-version document as a single digital file including the first and second sections and the at least one node. 8. The method of claim 1 , wherein the content of said second section is generated automatically from the content of said first section. | 0.735294 |
1. An electronic device comprising: a memory configured to store a Query and Answer (Q/A) set that includes a plurality of Q/As; and a processor configured to: control to acquire a speech query associated with a query uttered by a user, control to identify at least one Q/A of the plurality of Q/As based on criteria, control to generate a query list including candidate queries of the identified at least one Q/A, the candidate queries having the same or similar semantic as the acquired speech query, control to provide the query list for display, and control to perform an operation related to a candidate query selected from the query list provided for display, wherein the criteria include a time and a place of the query being uttered by the user, and at least one of user situation information, a user profile, or a past service usage pattern. | 1. An electronic device comprising: a memory configured to store a Query and Answer (Q/A) set that includes a plurality of Q/As; and a processor configured to: control to acquire a speech query associated with a query uttered by a user, control to identify at least one Q/A of the plurality of Q/As based on criteria, control to generate a query list including candidate queries of the identified at least one Q/A, the candidate queries having the same or similar semantic as the acquired speech query, control to provide the query list for display, and control to perform an operation related to a candidate query selected from the query list provided for display, wherein the criteria include a time and a place of the query being uttered by the user, and at least one of user situation information, a user profile, or a past service usage pattern. 2. The image display device of claim 1 , wherein the processor is further configured to recognize the acquired speech query, and wherein the processor is further configured to determine the candidate queries having the same or similar semantic as the acquired speech based on a semantic of the result of the recognition. | 0.540992 |
1. A data entry device having at least one output unit and a virtual input unit having a plurality of virtual key regions on a surface having no mechanical or touch-sensitive key structures, the device configured to: associate a group of symbols or a group of functions with each of a single virtual key region from the plurality of virtual key regions; define a group of unique input objects with each unique input object having a defining feature that differentiates it from the other unique input objects in the group; assign to each of the single symbols from the group of symbols or each of the single functions from the group of functions associated with each of the virtual key regions a unique input object from the group of unique input objects; an optical sensor to identify a virtual key region about to be actuated by an input object to define a candidate key region; identify and detect with the optical sensor the most probable input object from the group of unique input objects about to actuate the candidate key region; determine the most probable symbol or function based on the identity of the most probable input object and the candidate key region; display via the output unit the group of symbols, or a representation of the group of functions, associated with the candidate key region; apply a visually-perceptible emphasis to the most probable symbol or function to differentiate it from the other symbols or functions in their respective groups; display via the output unit a visually-perceptible representation of the group of input objects; and apply a visually-perceptible emphasis to the visually-perceptible representation of the most likely input object to differentiate it from the visually-perceptible representations of other input objects in the group of input objects. | 1. A data entry device having at least one output unit and a virtual input unit having a plurality of virtual key regions on a surface having no mechanical or touch-sensitive key structures, the device configured to: associate a group of symbols or a group of functions with each of a single virtual key region from the plurality of virtual key regions; define a group of unique input objects with each unique input object having a defining feature that differentiates it from the other unique input objects in the group; assign to each of the single symbols from the group of symbols or each of the single functions from the group of functions associated with each of the virtual key regions a unique input object from the group of unique input objects; an optical sensor to identify a virtual key region about to be actuated by an input object to define a candidate key region; identify and detect with the optical sensor the most probable input object from the group of unique input objects about to actuate the candidate key region; determine the most probable symbol or function based on the identity of the most probable input object and the candidate key region; display via the output unit the group of symbols, or a representation of the group of functions, associated with the candidate key region; apply a visually-perceptible emphasis to the most probable symbol or function to differentiate it from the other symbols or functions in their respective groups; display via the output unit a visually-perceptible representation of the group of input objects; and apply a visually-perceptible emphasis to the visually-perceptible representation of the most likely input object to differentiate it from the visually-perceptible representations of other input objects in the group of input objects. 10. The device of claim 1 wherein the visually-perceptible emphasis is configurable by the user. | 0.594923 |
15. A system for optimization of a query requesting data from a database, the system comprising: a computer having a processor and memory; a search engine for generating a search space comprising only left deep nested loop join trees for returning data requested by the query and traversing the search space to select an optimal left deep nested loop join tree for execution of the query; a transform module for transforming the left deep nested loop join tree selected by the search engine and including one or more outer joins and/or one or more semi-joins into a semantically correct bushy tree structure; and a generator module for generating a query execution plan for returning data requested by the query based on the semantically correct bushy tree structure. | 15. A system for optimization of a query requesting data from a database, the system comprising: a computer having a processor and memory; a search engine for generating a search space comprising only left deep nested loop join trees for returning data requested by the query and traversing the search space to select an optimal left deep nested loop join tree for execution of the query; a transform module for transforming the left deep nested loop join tree selected by the search engine and including one or more outer joins and/or one or more semi-joins into a semantically correct bushy tree structure; and a generator module for generating a query execution plan for returning data requested by the query based on the semantically correct bushy tree structure. 21. The system of claim 15 , wherein the search engine generates subplans structured as left deep nested loop join subtrees for obtaining data requested by the query. | 0.591266 |
19. The computer-readable storage medium of claim 18 , the method further comprising accessing a dictionary to determine whether any words exist in the dictionary that are of the first type of spelling correction. | 19. The computer-readable storage medium of claim 18 , the method further comprising accessing a dictionary to determine whether any words exist in the dictionary that are of the first type of spelling correction. 20. The computer-readable storage medium of claim 19 , the method further comprising selecting, as a first proposed spelling correction, a word that is of the first type of spelling correction. | 0.869183 |
2. The method of claim 1 , further comprising computing a simplified representation of the scene corresponding to a human observation of the scene. | 2. The method of claim 1 , further comprising computing a simplified representation of the scene corresponding to a human observation of the scene. 13. The method of claim 2 , wherein the computing a perceived color value for a meaningful color region further comprises: changing a pixel value of each perceptually insignificant pixel in the region into a new value equal to the pixel value of a closest perceptually significant pixel from the region; and averaging color values of all pixels in the region. | 0.807692 |
1. A learning analysis system for analyzing student performance and learning activity in a learning environment, the system comprising: a monitor; an electronic computer processor in communication with the monitor, wherein the processor is programmed to execute the function of an inference engine, wherein the inference engine is programmed to receive at least the following input data based on interaction, by students, with a computer-based learning environment that comprises at least one access device, wherein the input data comprises clickstream data received via the at least one access device, and the inference engine is programmed to calculate: (a) student-learning data based on the clickstream data, wherein the student learning data is associated with the students performing at least one activity in the learning environment, and (b) knowledge component model data based on the clickstream data, wherein the knowledge component model data comprises a mapping of at least one knowledge component to the at least one activity to be performed by the students in the learning environment; wherein the inference engine is further programmed to generate, in response to the student learning data and the knowledge component model data, at least one of a statistical probability distribution or a point estimate for at least the following components of a statistical model: (a) a learning state parameter representing a level of learning each of the students has attained for at least one knowledge component, wherein the at least one knowledge component comprises a predetermined number of skills, facts, concepts, strategies, or relationships regarding subject matter within a learning domain and is specific to an individual student, (b) a skill dynamics parameter representing a relationship between practice and the learning state parameter for the at least one knowledge component, wherein the skill dynamics parameter is specific to an individual knowledge component, and (c) a variability parameter representing variability in the learning state parameter and the skill dynamics parameter across the students; wherein the electronic computer processor is programmed to provide a screen display on the monitor that displays a plurality of learning objectives, wherein at least one of the plurality of learning objectives provides an interactive link in the screen display that, when activated by a user, causes the monitor to display a graphical representation of a student learning and performance metric based on the statistical model; and wherein the graphical representation of the at least one student learning and performance metric comprises information illustrating at least one of which knowledge component of a plurality of knowledge components were not well learned across the students, which students achieved comparatively lower levels of learning for a given learning objective, or which learning objective had not been practiced sufficiently. | 1. A learning analysis system for analyzing student performance and learning activity in a learning environment, the system comprising: a monitor; an electronic computer processor in communication with the monitor, wherein the processor is programmed to execute the function of an inference engine, wherein the inference engine is programmed to receive at least the following input data based on interaction, by students, with a computer-based learning environment that comprises at least one access device, wherein the input data comprises clickstream data received via the at least one access device, and the inference engine is programmed to calculate: (a) student-learning data based on the clickstream data, wherein the student learning data is associated with the students performing at least one activity in the learning environment, and (b) knowledge component model data based on the clickstream data, wherein the knowledge component model data comprises a mapping of at least one knowledge component to the at least one activity to be performed by the students in the learning environment; wherein the inference engine is further programmed to generate, in response to the student learning data and the knowledge component model data, at least one of a statistical probability distribution or a point estimate for at least the following components of a statistical model: (a) a learning state parameter representing a level of learning each of the students has attained for at least one knowledge component, wherein the at least one knowledge component comprises a predetermined number of skills, facts, concepts, strategies, or relationships regarding subject matter within a learning domain and is specific to an individual student, (b) a skill dynamics parameter representing a relationship between practice and the learning state parameter for the at least one knowledge component, wherein the skill dynamics parameter is specific to an individual knowledge component, and (c) a variability parameter representing variability in the learning state parameter and the skill dynamics parameter across the students; wherein the electronic computer processor is programmed to provide a screen display on the monitor that displays a plurality of learning objectives, wherein at least one of the plurality of learning objectives provides an interactive link in the screen display that, when activated by a user, causes the monitor to display a graphical representation of a student learning and performance metric based on the statistical model; and wherein the graphical representation of the at least one student learning and performance metric comprises information illustrating at least one of which knowledge component of a plurality of knowledge components were not well learned across the students, which students achieved comparatively lower levels of learning for a given learning objective, or which learning objective had not been practiced sufficiently. 2. The system of claim 1 , wherein the inference engine is further programmed to generate the statistical model based on a hierarchical Bayesian model. | 0.679245 |
10. An apparatus comprising: a formants modifier comprising: a receiver configured to receive Mth order linear predictive coding (LPC) coefficients representative of an input speech signal and a scale factor; a first converter configured to convert the Mth order LPC coefficients to Mth order line spectral pairs (LSPs); a multiplier configured to multiply the Mth order LSPs by the scale factor to produce scaled Mth order LSPs; an extractor configured to remove any pairs of scaled LSPs with at least one coefficient above a frequency threshold to produce a Pth order set of LSPs, where P<M; a second converter configured to convert the Pth order set of scaled LSPs to a Pth order set of LPCs; an inserter configured to pad the Pth order set of LPCs with M-P zeros; a third converter configured to convert the Pth order set of LPCs padded with zeros to a second Mth order set of LSPs; a processor configured to process the second Mth order set of LSPs and at least a third set of Mth order LSPs of another frame; and a fourth converter configured to convert the processed LSPs to processed LPCs; and a synthesizer configured to re-synthesize speech using the processed LPCs. | 10. An apparatus comprising: a formants modifier comprising: a receiver configured to receive Mth order linear predictive coding (LPC) coefficients representative of an input speech signal and a scale factor; a first converter configured to convert the Mth order LPC coefficients to Mth order line spectral pairs (LSPs); a multiplier configured to multiply the Mth order LSPs by the scale factor to produce scaled Mth order LSPs; an extractor configured to remove any pairs of scaled LSPs with at least one coefficient above a frequency threshold to produce a Pth order set of LSPs, where P<M; a second converter configured to convert the Pth order set of scaled LSPs to a Pth order set of LPCs; an inserter configured to pad the Pth order set of LPCs with M-P zeros; a third converter configured to convert the Pth order set of LPCs padded with zeros to a second Mth order set of LSPs; a processor configured to process the second Mth order set of LSPs and at least a third set of Mth order LSPs of another frame; and a fourth converter configured to convert the processed LSPs to processed LPCs; and a synthesizer configured to re-synthesize speech using the processed LPCs. 18. The apparatus of claim 10 , further comprising a memory to store the Mth order linear predictive coding (LPC) coefficients. | 0.554419 |
1. A computer program product, tangibly embodied in an information carrier, the computer program product being operable to cause data processing apparatus to perform operations comprising: receiving a first request from a client application for first speech animation, the first request identifying data to be used to generate the first speech animation, wherein the identified data includes a tag having a parameter corresponding to a desired emotion and a reference to an application scenario of the requesting client application, the application scenario corresponding to a behavioral context that includes a set of expressions that are appropriate to the particular application scenario; determining which application scenario prompted the first request based on other data information included in the first request; retrieving the data and the set of expressions in the behavioral context; generating the first speech animation based on the parameter and using the retrieved data and the set of expressions in the behavioral context; and sending a response identifying the generated first speech animation to the client application. | 1. A computer program product, tangibly embodied in an information carrier, the computer program product being operable to cause data processing apparatus to perform operations comprising: receiving a first request from a client application for first speech animation, the first request identifying data to be used to generate the first speech animation, wherein the identified data includes a tag having a parameter corresponding to a desired emotion and a reference to an application scenario of the requesting client application, the application scenario corresponding to a behavioral context that includes a set of expressions that are appropriate to the particular application scenario; determining which application scenario prompted the first request based on other data information included in the first request; retrieving the data and the set of expressions in the behavioral context; generating the first speech animation based on the parameter and using the retrieved data and the set of expressions in the behavioral context; and sending a response identifying the generated first speech animation to the client application. 9. The product of claim 1 , wherein: the client application is a web application; and the first request is an HTTP request. | 0.667051 |
9. An apparatus for speech synthesis comprising: an input for receiving text signals into a processor; a processor configured to synthesize an acoustic sequence using a phoneme duration model, the phoneme duration model produced by developing a non-exponential functional transformation form for use with a generalized additive model, wherein the non-exponential functional transformation is expressed by ##EQU4## where x comprises one or more of a plurality of contextual factors influencing the duration of a phoneme, A is the minimum phoneme duration observed in training data, B is the maximum phoneme duration observed in training data, .alpha. controls the amount of shrinking and expansion on either side of a main inflection point, and .beta. controls the position of the main inflection point; and an output for providing speech signals representative of the received text. | 9. An apparatus for speech synthesis comprising: an input for receiving text signals into a processor; a processor configured to synthesize an acoustic sequence using a phoneme duration model, the phoneme duration model produced by developing a non-exponential functional transformation form for use with a generalized additive model, wherein the non-exponential functional transformation is expressed by ##EQU4## where x comprises one or more of a plurality of contextual factors influencing the duration of a phoneme, A is the minimum phoneme duration observed in training data, B is the maximum phoneme duration observed in training data, .alpha. controls the amount of shrinking and expansion on either side of a main inflection point, and .beta. controls the position of the main inflection point; and an output for providing speech signals representative of the received text. 12. The apparatus of claim 9, wherein the phoneme duration model is a sum of products model, and wherein the processor is further configured to synthesize the acoustic sequence using a phoneme pitch model. | 0.72757 |
22. The method of claim 1 , where a second part of the second entity further includes a section of a generated report associated with the graphical model. | 22. The method of claim 1 , where a second part of the second entity further includes a section of a generated report associated with the graphical model. 23. The method of claim 22 , where the method further comprises: graphically identifying the section based on a selection of a first part of the first entity. | 0.964609 |
10. The apparatus of claim 9 , further comprising a rules processor coupled to the deal management logic and configured to modify the set of business rules to generate a modified set of business rules; and apply the modified set of business rules during delivery of mortgage loans to the secondary mortgage market participant to determine whether the mortgage loans are acceptable for purchase by the secondary mortgage market participant under the terms of the agreement. | 10. The apparatus of claim 9 , further comprising a rules processor coupled to the deal management logic and configured to modify the set of business rules to generate a modified set of business rules; and apply the modified set of business rules during delivery of mortgage loans to the secondary mortgage market participant to determine whether the mortgage loans are acceptable for purchase by the secondary mortgage market participant under the terms of the agreement. 11. The apparatus of claim 10 , wherein the rules processor is configured to modify the set of business rules based on inputs received from a user. | 0.91663 |
1. One or more computer-readable media, the one or more computer-readable media not consisting of a propagating signal, the one or more computer-readable media comprising computer-executable instructions for providing search results, the computer-executable instructions directed to steps comprising: receiving, by a search engine, a search string comprising search terms; identifying pages relevant to the search string; for each of the identified pages relevant to the search string: obtaining a snippet for the corresponding identified page, the snippet is an excerpt from the corresponding identified page, the snippet, generated by searching a database, illustrates relevance of the corresponding identified page to the search string; determining that the snippet does not contain search terms of the search string, obtaining reference information comprising first anchor text of a link to the corresponding identified page from a web page other than the corresponding identified page, the first anchor text is used by the web page other than the corresponding identified page to reference the corresponding identified page; and displaying links to each identified page with the snippet and the obtained reference information for the identified page, wherein the reference information further comprises a second anchor text used by another page to link to the at least one of the identified pages, wherein the second anchor text is different from the first anchor text, and wherein the second anchor text is relevant to the search string. | 1. One or more computer-readable media, the one or more computer-readable media not consisting of a propagating signal, the one or more computer-readable media comprising computer-executable instructions for providing search results, the computer-executable instructions directed to steps comprising: receiving, by a search engine, a search string comprising search terms; identifying pages relevant to the search string; for each of the identified pages relevant to the search string: obtaining a snippet for the corresponding identified page, the snippet is an excerpt from the corresponding identified page, the snippet, generated by searching a database, illustrates relevance of the corresponding identified page to the search string; determining that the snippet does not contain search terms of the search string, obtaining reference information comprising first anchor text of a link to the corresponding identified page from a web page other than the corresponding identified page, the first anchor text is used by the web page other than the corresponding identified page to reference the corresponding identified page; and displaying links to each identified page with the snippet and the obtained reference information for the identified page, wherein the reference information further comprises a second anchor text used by another page to link to the at least one of the identified pages, wherein the second anchor text is different from the first anchor text, and wherein the second anchor text is relevant to the search string. 4. The computer-readable media of claim 1 comprising further computer-executable instructions directed to selecting the first anchor text from among multiple anchor text wordings based in part on similarity between the first anchor text and the search string. | 0.542547 |
1. A computer-implemented method of characterizing unregistered domain names performed by one or more processors, the method comprising: obtaining a list of a plurality of resolution requests for a plurality of unregistered domain names, wherein each resolution request includes a timestamp field, a requesting-machine identifier field, and an unregistered domain name field; determining a number of occurrences of resolution requests for each of the plurality of unregistered domain names; computing a plurality of groupings based on the number of occurrences; and associating a score with each of the unregistered domain names. | 1. A computer-implemented method of characterizing unregistered domain names performed by one or more processors, the method comprising: obtaining a list of a plurality of resolution requests for a plurality of unregistered domain names, wherein each resolution request includes a timestamp field, a requesting-machine identifier field, and an unregistered domain name field; determining a number of occurrences of resolution requests for each of the plurality of unregistered domain names; computing a plurality of groupings based on the number of occurrences; and associating a score with each of the unregistered domain names. 3. The method of claim 1 wherein the groupings are computed using a log-based method. | 0.724072 |
4. The computer system of claim 3, wherein said processor processes said initial glyph index according to a finite state machine. | 4. The computer system of claim 3, wherein said processor processes said initial glyph index according to a finite state machine. 7. The computer system of claim 4, wherein said processor processed said initial glyph index such that said second glyph is said first glyph kerned according to said finite state machine. | 0.924628 |
5. The computer readable storage media of claim 4 wherein the confirmation control is activated as a function of a confidence level or a received result. | 5. The computer readable storage media of claim 4 wherein the confirmation control is activated as a function of a confidence level or a received result. 9. The computer readable storage media of claim 5 wherein the confirmation control activates a correct control to correct the recognized result. | 0.953726 |
8. A system for developing a user profile for indicating the user's topics of interest, the system comprising: memory; a data processor coupled to the memory, the data processor configured to: identify a plurality of documents considered by the system to have been consumed by a first user; for each identified document, develop a document summary identifying a plurality of concepts considered represented in the document and a relative strength by which the concept is considered associated with the document; accumulate the document summaries from all the identified documents into a profile for the first user; and store the user profile in a user profile database in a storage medium accessible to the system, wherein each of the plurality of concepts comprises, in combination, a normalized term used in the identified document and a usage attribute identifying a way in which the normalized term is used, and wherein in developing a document summary, for a given identified document, the data processor configured further to: identify a plurality of the concepts used in the identified document; score a quality of each usage of the identified concepts in the identified document; and develop, in dependence upon the quality scores for each given one of the identified concepts, a feature strength for the concept as used in the identified document, the document summary indicating each of the concepts in the plurality of concepts in conjunction with its feature strength. | 8. A system for developing a user profile for indicating the user's topics of interest, the system comprising: memory; a data processor coupled to the memory, the data processor configured to: identify a plurality of documents considered by the system to have been consumed by a first user; for each identified document, develop a document summary identifying a plurality of concepts considered represented in the document and a relative strength by which the concept is considered associated with the document; accumulate the document summaries from all the identified documents into a profile for the first user; and store the user profile in a user profile database in a storage medium accessible to the system, wherein each of the plurality of concepts comprises, in combination, a normalized term used in the identified document and a usage attribute identifying a way in which the normalized term is used, and wherein in developing a document summary, for a given identified document, the data processor configured further to: identify a plurality of the concepts used in the identified document; score a quality of each usage of the identified concepts in the identified document; and develop, in dependence upon the quality scores for each given one of the identified concepts, a feature strength for the concept as used in the identified document, the document summary indicating each of the concepts in the plurality of concepts in conjunction with its feature strength. 10. A system according to claim 8 , wherein accumulating the document summaries from all the identified documents into a profile for the first user comprises combining, separately for each of at least a plurality the concepts represented in the document summaries, the feature strength for the concept as used in each of the identified documents. | 0.595915 |
20. A system for facilitating retrieval of information through a public data network, comprising: a user input subsystem for entering by a user input defining at least one search tag; a template database subsystem which uses computer hardware for storing a plurality of search templates; a template retrieval subsystem based on a hardware computer and adapted to select a search template from said plurality of search templates in said template database subsystem according to said user input and to use the search template to acquire results from a plurality of search sources; and a unit which presents the results to a user providing the user input; wherein said database which makes the search template available in a cloud computing environment to users other than the user to allow using crowdsourcing to update the search template by collecting users input parameters to the search template from the users other than the user; wherein said search template defining said plurality of search sources and a plurality of logical relations therebetween and includes instructions to generate at least one query that includes said at least one search tag, instructions to submit said at least one query to at least one of said plurality of search sources to retrieve information, and instructions to submit said retrieved information in at least one another of said plurality of search sources to create results. | 20. A system for facilitating retrieval of information through a public data network, comprising: a user input subsystem for entering by a user input defining at least one search tag; a template database subsystem which uses computer hardware for storing a plurality of search templates; a template retrieval subsystem based on a hardware computer and adapted to select a search template from said plurality of search templates in said template database subsystem according to said user input and to use the search template to acquire results from a plurality of search sources; and a unit which presents the results to a user providing the user input; wherein said database which makes the search template available in a cloud computing environment to users other than the user to allow using crowdsourcing to update the search template by collecting users input parameters to the search template from the users other than the user; wherein said search template defining said plurality of search sources and a plurality of logical relations therebetween and includes instructions to generate at least one query that includes said at least one search tag, instructions to submit said at least one query to at least one of said plurality of search sources to retrieve information, and instructions to submit said retrieved information in at least one another of said plurality of search sources to create results. 21. The system of claim 20 , wherein said database comprises a plurality of search templates; further comprising a search subsystem for searching among said plurality of search templates using said at least one search tag and displaying relevant search templates from said plurality of search templates in descending order of relevancy. | 0.5 |
1. A computerized method for optimizing name search results for a computer user comprising: (a) creating at a computer for a name database indices comprising: (i) a phonetic index with terms generated from application of at least one phonetic algorithm to first names and to last names in said database; (ii) a nickname index with terms generated from application of at least one nickname algorithm to first names in said database; (b) creating at said computer for said name database a misspelling index with keys for finding names in said database by applying a misspelling algorithm to first names and to last names wherein the algorithm: (i) alphanumerically sorts the letters in said first names and last names; (ii) generates a first key for each of said first names and said last names comprising letters for said first name or last name in alphanumeric sorted order; and (iii) removes each letter of said first name or last name in alphanumeric sorted order to generate additional keys comprising said first key with said letters removed from said first key; (c) receiving at said computer a search request comprising a first name and a last name; (d) receiving at said computer a candidate number of names from said database; (e) creating at said computer a search results set by adding names to said search results set for said first name and said last name up to said candidate number of names according to the following steps: (i) searching said name database for an exact match of said first name and said last name; (ii) searching said name database for names that have all words from said last name and said first name but not in said search results set; (iii) searching said name database for names that have all words from said last name and a fuzzy version of said first name using said phonetic, nickname, and misspelling indices but not in said search results set; (iv) searching said name database for names that have all words from said first name and a fuzzy version of said last name using said phonetic and misspelling indices but not in said search results set; (v) searching said name database for names that have fuzzy versions of said first name and said last name using said phonetic, misspelling, and nickname indices but not in said search results set; (vi) ranking intermediate results at each step (i)-(v) and eliminating a plurality of names from said search results set according to said rankings for said names; and (f) presenting to said computer user on a computer display names from said search results set up to said candidate number of names. | 1. A computerized method for optimizing name search results for a computer user comprising: (a) creating at a computer for a name database indices comprising: (i) a phonetic index with terms generated from application of at least one phonetic algorithm to first names and to last names in said database; (ii) a nickname index with terms generated from application of at least one nickname algorithm to first names in said database; (b) creating at said computer for said name database a misspelling index with keys for finding names in said database by applying a misspelling algorithm to first names and to last names wherein the algorithm: (i) alphanumerically sorts the letters in said first names and last names; (ii) generates a first key for each of said first names and said last names comprising letters for said first name or last name in alphanumeric sorted order; and (iii) removes each letter of said first name or last name in alphanumeric sorted order to generate additional keys comprising said first key with said letters removed from said first key; (c) receiving at said computer a search request comprising a first name and a last name; (d) receiving at said computer a candidate number of names from said database; (e) creating at said computer a search results set by adding names to said search results set for said first name and said last name up to said candidate number of names according to the following steps: (i) searching said name database for an exact match of said first name and said last name; (ii) searching said name database for names that have all words from said last name and said first name but not in said search results set; (iii) searching said name database for names that have all words from said last name and a fuzzy version of said first name using said phonetic, nickname, and misspelling indices but not in said search results set; (iv) searching said name database for names that have all words from said first name and a fuzzy version of said last name using said phonetic and misspelling indices but not in said search results set; (v) searching said name database for names that have fuzzy versions of said first name and said last name using said phonetic, misspelling, and nickname indices but not in said search results set; (vi) ranking intermediate results at each step (i)-(v) and eliminating a plurality of names from said search results set according to said rankings for said names; and (f) presenting to said computer user on a computer display names from said search results set up to said candidate number of names. 2. The method of claim 1 wherein said names in said database are normalized, case shifted words. | 0.656918 |
9. A method, comprising: at an electronic device with a display: displaying at least a portion of an electronic document with a predefined page layout, the electronic document displayed at a first magnification level on the display; detecting a first input indicating a first insertion point in the document, wherein the first insertion point is proximate to a first portion of text in the document; and in response to detecting the first input: selecting a second magnification level for the electronic document, different from the first magnification level, wherein the second magnification level is selected so as to display the first portion of text at a target text display size; while maintaining the predefined page layout of the document, displaying, at the second magnification level, a portion of the document that includes the first portion of text; performing an operation selected from the set consisting of: placing a text cursor at the first insertion point, selecting a cell of a spreadsheet proximate to the first insertion point for editing, and highlighting text proximate to the first insertion point; and displaying a soft keyboard on the display. | 9. A method, comprising: at an electronic device with a display: displaying at least a portion of an electronic document with a predefined page layout, the electronic document displayed at a first magnification level on the display; detecting a first input indicating a first insertion point in the document, wherein the first insertion point is proximate to a first portion of text in the document; and in response to detecting the first input: selecting a second magnification level for the electronic document, different from the first magnification level, wherein the second magnification level is selected so as to display the first portion of text at a target text display size; while maintaining the predefined page layout of the document, displaying, at the second magnification level, a portion of the document that includes the first portion of text; performing an operation selected from the set consisting of: placing a text cursor at the first insertion point, selecting a cell of a spreadsheet proximate to the first insertion point for editing, and highlighting text proximate to the first insertion point; and displaying a soft keyboard on the display. 10. The method of claim 9 , including, in response to detecting the first input, scrolling the document so that the first insertion point is in a central region of a displayed portion of the document. | 0.583886 |
10. A method for multi-lingual networking and communication, comprising: at a first mobile device having a GPS-enabled map function and a screen: a) receiving individualized information corresponding to a plurality of members in a social network, wherein the individualized information comprises at least each member's location, each member's preferred language, whether or not each member is logged in, and one or more elements of each member's biographical information; b) using the GPS-enabled map function to display an interactive map configured to enable a user to select an area of the interactive map, wherein the user is a member of the social network; c) receiving a user selection of an area of the interactive map; d) displaying any logged-in member having a GPS location within the user-selected area of the interactive map; e) receiving a user selection of at least one member within the user-selected area of the interactive map, wherein the user selection of at least one member designates at least one selected member; f) receiving a user input from the user, wherein the user input is configured to communicate a desire to directly engage at least one selected member in communication, wherein the at least one selected member is not the user; g) transmitting the user input to a cloud-based server; h) receiving at least one selected member input in response to the user input; and i) automatically displaying each of the at least one selected member input on the user's mobile device screen in the user's preferred language; and at a cloud-based server: a) receiving the user input; b) translating the user input into a translated user input, wherein the translated user input comprises the user input translated into the preferred language of each of the at least one selected member; c) transmitting the translated user input to at least one second mobile device associated with one of the at least one selected member; d) receiving at least one selected member input; e) translating the at least one selected member input into at least one translated selected member input, wherein the at least one translated selected member input comprises the at least one selected member input translated into the preferred language of the user; and f) transmitting the at least one translated selected member input to the first mobile device; and at at least one second mobile device having a screen: a) receiving the at least one translated user input from the cloud-based server; b) displaying the at least one translated user input on the second mobile device screen; c) receiving at least one selected member input, wherein the at least one selected member input comprises at least one response entered in the preferred language of the at least one selected member; and d) transmitting the at least one selected member input to the cloud-based server. | 10. A method for multi-lingual networking and communication, comprising: at a first mobile device having a GPS-enabled map function and a screen: a) receiving individualized information corresponding to a plurality of members in a social network, wherein the individualized information comprises at least each member's location, each member's preferred language, whether or not each member is logged in, and one or more elements of each member's biographical information; b) using the GPS-enabled map function to display an interactive map configured to enable a user to select an area of the interactive map, wherein the user is a member of the social network; c) receiving a user selection of an area of the interactive map; d) displaying any logged-in member having a GPS location within the user-selected area of the interactive map; e) receiving a user selection of at least one member within the user-selected area of the interactive map, wherein the user selection of at least one member designates at least one selected member; f) receiving a user input from the user, wherein the user input is configured to communicate a desire to directly engage at least one selected member in communication, wherein the at least one selected member is not the user; g) transmitting the user input to a cloud-based server; h) receiving at least one selected member input in response to the user input; and i) automatically displaying each of the at least one selected member input on the user's mobile device screen in the user's preferred language; and at a cloud-based server: a) receiving the user input; b) translating the user input into a translated user input, wherein the translated user input comprises the user input translated into the preferred language of each of the at least one selected member; c) transmitting the translated user input to at least one second mobile device associated with one of the at least one selected member; d) receiving at least one selected member input; e) translating the at least one selected member input into at least one translated selected member input, wherein the at least one translated selected member input comprises the at least one selected member input translated into the preferred language of the user; and f) transmitting the at least one translated selected member input to the first mobile device; and at at least one second mobile device having a screen: a) receiving the at least one translated user input from the cloud-based server; b) displaying the at least one translated user input on the second mobile device screen; c) receiving at least one selected member input, wherein the at least one selected member input comprises at least one response entered in the preferred language of the at least one selected member; and d) transmitting the at least one selected member input to the cloud-based server. 13. The method of claim 10 further comprising the step of, at the first mobile device: filtering out at least one member from within the selected area, wherein the filtered-out member has a different preferred language than the preferred language of the user. | 0.515322 |
1. A computer-implemented method causing a computing device to perform steps comprising: identifying in a program listing an annotated function having a first call site and a second call site; inlining the annotated function at an inline location in the program listing; and replacing the first call site with a first inline control flow structure and the second call site with a second inline control flow structure, the first inline control flow structure and the second inline control flow structure redirecting execution flow to the inlined annotated function at the inline location, whereby a combination of the inlined annotated function at the inline location, the first inline control flow structure, and the second inline control flow structure is computationally equivalent to inlining the identified annotated function at the first call site and the second call site; wherein building a callgraph based on the annotated functions; and wherein identifying an annotated function two distinct call sites in the program listing is based on the callgraph. | 1. A computer-implemented method causing a computing device to perform steps comprising: identifying in a program listing an annotated function having a first call site and a second call site; inlining the annotated function at an inline location in the program listing; and replacing the first call site with a first inline control flow structure and the second call site with a second inline control flow structure, the first inline control flow structure and the second inline control flow structure redirecting execution flow to the inlined annotated function at the inline location, whereby a combination of the inlined annotated function at the inline location, the first inline control flow structure, and the second inline control flow structure is computationally equivalent to inlining the identified annotated function at the first call site and the second call site; wherein building a callgraph based on the annotated functions; and wherein identifying an annotated function two distinct call sites in the program listing is based on the callgraph. 8. The method of claim 1 , wherein the inline control flow structure includes a series of jump instructions or GOTO statements. | 0.590501 |
14. A system for providing binary instrumentation using a binary instrumentation tool to detect memory problems in runtime application executing on a computer system, the system comprising: a processor for providing binary instrumentation; a compiler to compile the source code of the runtime application into a plurality of compiled objects, the runtime application having a function with an instruction that accesses memory, the compiler further configured to identify a function with instructions that access memory and to generate an annotation section, the annotation section including one or more compiler annotations associated with the identified function, the compiler annotations defining essential functional characteristic data related to the identified function based on examination of the instruction and providing guidelines, wherein the source code includes a user provided executable code (UPE), the UPE including a function having an instruction that accesses memory, wherein the UPE is not associated with any compiler annotations; a link editor to assemble the compiled objects generated by the compiler into an executable binary code of the runtime application, the generated annotation section associated with the executable binary code; and a program error detector configured to define and insert a checker code into the identified function to obtain a modified function code based on guidelines provided by compiler annotations in the annotation section associated with the identified function and to generate a modified executable binary code by replacing a original function code for the function in the runtime application having instructions that access memory with the modified function code, the checker code invoking a checker upon execution of the corresponding function in the modified executable binary code, wherein the invoked checker efficiently detects program memory error during execution of the runtime application. | 14. A system for providing binary instrumentation using a binary instrumentation tool to detect memory problems in runtime application executing on a computer system, the system comprising: a processor for providing binary instrumentation; a compiler to compile the source code of the runtime application into a plurality of compiled objects, the runtime application having a function with an instruction that accesses memory, the compiler further configured to identify a function with instructions that access memory and to generate an annotation section, the annotation section including one or more compiler annotations associated with the identified function, the compiler annotations defining essential functional characteristic data related to the identified function based on examination of the instruction and providing guidelines, wherein the source code includes a user provided executable code (UPE), the UPE including a function having an instruction that accesses memory, wherein the UPE is not associated with any compiler annotations; a link editor to assemble the compiled objects generated by the compiler into an executable binary code of the runtime application, the generated annotation section associated with the executable binary code; and a program error detector configured to define and insert a checker code into the identified function to obtain a modified function code based on guidelines provided by compiler annotations in the annotation section associated with the identified function and to generate a modified executable binary code by replacing a original function code for the function in the runtime application having instructions that access memory with the modified function code, the checker code invoking a checker upon execution of the corresponding function in the modified executable binary code, wherein the invoked checker efficiently detects program memory error during execution of the runtime application. 15. The system for providing binary instrumentation using a binary instrumentation tool to detect memory problems in runtime application executing on a computer system of claim 14 , further including a user interface to receive memory semantic description for the function having the instruction to access memory in the UPE, the memory semantic description incorporated into a memory semantic file, the memory semantic description providing essential functional characteristic data related to the identified function in the UPE, the memory semantic file associated with the function in the UPE. | 0.501761 |
4. A method of indexing a dictionary and an indexing system thereof according to claim 3 wherein said six symbols are designated as follows: symbol 1 including an upper short bar and a lower long bar for denoting the English vowel "A"; symbol 2 including three short bars for denoting the English vowel "E"; symbol 3 including one short bar for denoting the English vowel "I"; symbol 4 including an upper long bar and a lower short lower bar for denoting the English letter "O" symbol 5 including two short bars for denoting the English letter "U"; and symbol 6 including one long bar for denoting the second consonant letter of an entry in said upper indexing area but denoting the second vowel letter of an entry in said lower indexing area. | 4. A method of indexing a dictionary and an indexing system thereof according to claim 3 wherein said six symbols are designated as follows: symbol 1 including an upper short bar and a lower long bar for denoting the English vowel "A"; symbol 2 including three short bars for denoting the English vowel "E"; symbol 3 including one short bar for denoting the English vowel "I"; symbol 4 including an upper long bar and a lower short lower bar for denoting the English letter "O" symbol 5 including two short bars for denoting the English letter "U"; and symbol 6 including one long bar for denoting the second consonant letter of an entry in said upper indexing area but denoting the second vowel letter of an entry in said lower indexing area. 5. A method of indexing a dictionary and an indexing system thereof according to claim 4 wherein said symbols 1 through 5 are respectively labelled in said upper indexing area and located at a position horizontally corresponding to a letter marked on the fore edge similar to the third letter of a first or a last entry on either the left or right side of the labelled (page) leaf. | 0.70297 |
1. A method comprising: receiving a request for a snapshot of a document at a previous point in time; identifying events associated with the document prior to the previous point in time, wherein the events include every event associated with a change in the document prior to the previous point in time, wherein an event of the events includes a deletion of at least a portion of the document, wherein each event of the events is separately stored in an archive, wherein the archive receives a first set of one or more events from a first communication modality and a second set of one or more events from a second communication modality, and wherein the archive processes each of the first set of one or more events and each of the second set of one or more events to a common format; and generating the snapshot by performing each event of the events, wherein the snapshot represents the document at the previous point in time. | 1. A method comprising: receiving a request for a snapshot of a document at a previous point in time; identifying events associated with the document prior to the previous point in time, wherein the events include every event associated with a change in the document prior to the previous point in time, wherein an event of the events includes a deletion of at least a portion of the document, wherein each event of the events is separately stored in an archive, wherein the archive receives a first set of one or more events from a first communication modality and a second set of one or more events from a second communication modality, and wherein the archive processes each of the first set of one or more events and each of the second set of one or more events to a common format; and generating the snapshot by performing each event of the events, wherein the snapshot represents the document at the previous point in time. 2. The method of claim 1 , wherein a change in the document includes an addition, a deletion, or a combination thereof. | 0.860465 |
1. A method comprising: at one or more computing device comprising one or more processors and memory storing one or more programs executed by the one or more processors to perform the method, performing operations comprising: receiving a first update to a data object; updating the data object in a first database based on the first update; receiving a second update to the data object; responsive to receiving the second update, detecting a concurrency conflict between a first value for a first property of the data object in the first database and a second value for the first property in the second update; updating the data object in the first database based on the second update only after the concurrency conflict is deconflicted; wherein the second update comprises one or more values for one or more other properties of the data object; and wherein the operation of updating the data object in the first database based on the second update only after the concurrency conflict is deconflicted comprises the operation of updating the data object in the first database based on the one or more values for the one or more other properties of the data object only after the concurrency conflict is deconflicted. | 1. A method comprising: at one or more computing device comprising one or more processors and memory storing one or more programs executed by the one or more processors to perform the method, performing operations comprising: receiving a first update to a data object; updating the data object in a first database based on the first update; receiving a second update to the data object; responsive to receiving the second update, detecting a concurrency conflict between a first value for a first property of the data object in the first database and a second value for the first property in the second update; updating the data object in the first database based on the second update only after the concurrency conflict is deconflicted; wherein the second update comprises one or more values for one or more other properties of the data object; and wherein the operation of updating the data object in the first database based on the second update only after the concurrency conflict is deconflicted comprises the operation of updating the data object in the first database based on the one or more values for the one or more other properties of the data object only after the concurrency conflict is deconflicted. 5. The method of claim 1 , wherein the operations further comprise the operations of: obtaining a deconflicted value for the first property as a result of the concurrency conflict being deconflicted; and wherein the deconflicted value for the first property is neither the first value nor the second value. | 0.863019 |
1. A computer-implemented method for processing a data stream associated with a given data stream application, comprising steps of: obtaining at least one range query issued against the data stream; building a range query index based on the at least one range query using one or more virtual constructs such that the range query index is adaptive to one or more changes in a distribution of range query sizes, wherein building the range query index comprises decomposing the at least one range query into a minimal number of containment-encoded squares of varying sizes; and searching the range query index with a data value; wherein the step of searching the range query index with the data value further comprises steps of: finding a smallest-sized virtual square containing the data value; finding other virtual squares containing the smallest-sized virtual square; and obtaining query identifiers associated with virtual squares covering the data value; wherein the step of finding the other virtual squares further comprises steps of: finding a partition identifier and local identifier of a smallest-sized containment-encoded square; and repeatedly dividing the local identifier by four to find the local identifier of other containment-encoded squares that contain the smallest-sized containment-encoded square; wherein the range query index is configured to process at least a portion of the data stream associated with the given data stream application; and wherein the steps are performed by a computer system. | 1. A computer-implemented method for processing a data stream associated with a given data stream application, comprising steps of: obtaining at least one range query issued against the data stream; building a range query index based on the at least one range query using one or more virtual constructs such that the range query index is adaptive to one or more changes in a distribution of range query sizes, wherein building the range query index comprises decomposing the at least one range query into a minimal number of containment-encoded squares of varying sizes; and searching the range query index with a data value; wherein the step of searching the range query index with the data value further comprises steps of: finding a smallest-sized virtual square containing the data value; finding other virtual squares containing the smallest-sized virtual square; and obtaining query identifiers associated with virtual squares covering the data value; wherein the step of finding the other virtual squares further comprises steps of: finding a partition identifier and local identifier of a smallest-sized containment-encoded square; and repeatedly dividing the local identifier by four to find the local identifier of other containment-encoded squares that contain the smallest-sized containment-encoded square; wherein the range query index is configured to process at least a portion of the data stream associated with the given data stream application; and wherein the steps are performed by a computer system. 2. The method of claim 1 , wherein the step of building the range query index further comprises steps of: dividing a monitoring region associated with the at least one range query into one or more initial-level virtual squares; defining one or more levels of virtual squares for each of the initial-level virtual squares; decomposing the at least one range query into one or more of the virtual squares; and associating an identifier of the at least one range query with the one or more decomposed virtual squares. | 0.5 |
1. A method comprising: identifying, from a set of entities to be monitored, a subset of the set of entities for additional monitoring; performing the additional monitoring by: accessing a scoring rule that includes a search query, a triggering condition and a risk modifier, the scoring rule having been defined by information input via a user interface, the risk modifier indicative of an amount by which to adjust a risk score of a particular entity when the triggering condition is satisfied; after said accessing the scoring rule, executing the search query against a plurality of events associated with activity of the subset of the set of entities, wherein the search query produces a search result pertaining to activity of the particular entity, wherein each event of the plurality of events is associated with a timestamp and includes machine data; determining whether the search result meets the triggering condition; and responsive to determining that the search result meets the triggering condition, updating the risk score for the particular entity based on the risk modifier in the scoring rule, the risk score indicating a security threat associated with activity of the particular entity; and causing at least one of: display of an indication of the updated risk score, transmission of an indication of the updated risk score, or remedial action based on the updated risk score. | 1. A method comprising: identifying, from a set of entities to be monitored, a subset of the set of entities for additional monitoring; performing the additional monitoring by: accessing a scoring rule that includes a search query, a triggering condition and a risk modifier, the scoring rule having been defined by information input via a user interface, the risk modifier indicative of an amount by which to adjust a risk score of a particular entity when the triggering condition is satisfied; after said accessing the scoring rule, executing the search query against a plurality of events associated with activity of the subset of the set of entities, wherein the search query produces a search result pertaining to activity of the particular entity, wherein each event of the plurality of events is associated with a timestamp and includes machine data; determining whether the search result meets the triggering condition; and responsive to determining that the search result meets the triggering condition, updating the risk score for the particular entity based on the risk modifier in the scoring rule, the risk score indicating a security threat associated with activity of the particular entity; and causing at least one of: display of an indication of the updated risk score, transmission of an indication of the updated risk score, or remedial action based on the updated risk score. 12. The method of claim 1 , further comprising determining a statistical baseline of activity of the set of entities, the statistical baseline being based on an average amount of the activity of the set of entities, wherein the triggering condition corresponds to the statistical baseline. | 0.721689 |
13. In a digital environment for producing multimedia that includes audio, a method for viewing and editing the multimedia, the method comprising: identifying an audio segment; detecting, by at least one processor, recognizable speech and non-recognizable speech within the audio segment; converting the detected recognizable speech to readable text; generating a plurality of waveforms for the non-recognizable speech; displaying, within a graphical user interface, the plurality of waveforms for the non-recognizable speech inline with the readable text; receiving a user input modifying a portion of readable text from the displayed readable text; and changing at least one audio characteristic of an audio portion in the audio segment corresponding to the modified portion of readable text based on the received user input. | 13. In a digital environment for producing multimedia that includes audio, a method for viewing and editing the multimedia, the method comprising: identifying an audio segment; detecting, by at least one processor, recognizable speech and non-recognizable speech within the audio segment; converting the detected recognizable speech to readable text; generating a plurality of waveforms for the non-recognizable speech; displaying, within a graphical user interface, the plurality of waveforms for the non-recognizable speech inline with the readable text; receiving a user input modifying a portion of readable text from the displayed readable text; and changing at least one audio characteristic of an audio portion in the audio segment corresponding to the modified portion of readable text based on the received user input. 15. The method of claim 13 , further comprising separating each portion of readable text and each waveform into an audio unit. | 0.626354 |
8. The method of claim 4 , wherein locating pages comprises: determining matching document pages from a database; modifying a feature extraction score of each matching page; sorting the matching document pages from highest score to lowest score; calculating a percentage of the image patch found in the matching page; and outputting the matching document pages sorted by percentage. | 8. The method of claim 4 , wherein locating pages comprises: determining matching document pages from a database; modifying a feature extraction score of each matching page; sorting the matching document pages from highest score to lowest score; calculating a percentage of the image patch found in the matching page; and outputting the matching document pages sorted by percentage. 10. The method of claim 8 , further comprising estimating a length of each line of text by comparing a linear position of a beginning of each character string in the database document and calculating a gap between strips of text with a difference between a first character and a last character in the previous strip. | 0.656647 |
24. The storage medium according to claim 21 , the program being capable of causing the information processing apparatus to further perform the process of displaying information indicating that the temporary display document is displayed, while displaying the temporary display document. | 24. The storage medium according to claim 21 , the program being capable of causing the information processing apparatus to further perform the process of displaying information indicating that the temporary display document is displayed, while displaying the temporary display document. 25. The storage medium according to claim 24 , the program being capable of causing the information processing apparatus to further perform the processes of: (i) identifying or determining whether the display target is changed from the temporary display document to the main display document; and (ii) deleting the information indicating that the temporary display document is displayed when it is identified or determined that the display target is changed from the temporary display document to the main display document. | 0.855566 |
19. An encoder for converting fixed length digital words into variable length code words comprising, a memory unit addressed by said fixed length digital words to be encoded, said memory unit having stored therein a plurality of fixed length words having different numbers of 0's in adjacent bit positions of the words, a multiplexer connected to said memory unit for sequentially scanning outputs therefrom for generating said code words, said multiplexing scanning starting at an initial multiplexer address, means under control of the output from the multiplexer output for stopping multiplexer scanning when the output from the multiplexer is a 1's bit, and for returning to the initial multiplexer address in preparation for the next scanning operation. | 19. An encoder for converting fixed length digital words into variable length code words comprising, a memory unit addressed by said fixed length digital words to be encoded, said memory unit having stored therein a plurality of fixed length words having different numbers of 0's in adjacent bit positions of the words, a multiplexer connected to said memory unit for sequentially scanning outputs therefrom for generating said code words, said multiplexing scanning starting at an initial multiplexer address, means under control of the output from the multiplexer output for stopping multiplexer scanning when the output from the multiplexer is a 1's bit, and for returning to the initial multiplexer address in preparation for the next scanning operation. 20. An encoder as defined in claim 19 including, a shift register into which said multiplexer output is shifted for holding variable length code words from the multiplexer. | 0.625 |
1. A relational database management system of the type wherein a table function returns a set of result rows which are represented in an SQL statement by a container for the table function, the relational database management system executing on a processor that has access to a storage device and the relational database management system having the improvement comprising: a rewrite method in the storage device, the rewrite method being associated with the table function returning an SQL string which does not include the table function and which when executed will return a set of result rows which is equivalent to the set of result rows returned by the table function, the relational database system executing the rewrite method prior to executing the container to obtain the SQL string and thereupon rewriting the SQL statement such that the container for the table function is replaced by the returned SQL string. | 1. A relational database management system of the type wherein a table function returns a set of result rows which are represented in an SQL statement by a container for the table function, the relational database management system executing on a processor that has access to a storage device and the relational database management system having the improvement comprising: a rewrite method in the storage device, the rewrite method being associated with the table function returning an SQL string which does not include the table function and which when executed will return a set of result rows which is equivalent to the set of result rows returned by the table function, the relational database system executing the rewrite method prior to executing the container to obtain the SQL string and thereupon rewriting the SQL statement such that the container for the table function is replaced by the returned SQL string. 9. The relational database management system set forth in claim 1 wherein: the table function and the rewrite method are provided by the relational database management system. | 0.575379 |
12. A method of increasing the relevance of a media content communicated to consumers who are consuming the media content, the media content being displayed on a media device, the media device being public display advertising signage fixed in a public view location and typically only visually accessible to consumers, the method comprising: associating a consumer with a personal device and the personal device with a human language preference of the consumer: affixing the media device, in public view, visually accessible by the consumer; syncing the personal device with the media device, when the consumer, in possession of the personal device, is within viewable proximity of the media device; determining a preferred human language, by way of data communicating the human language preference associated with the personal device synced with the media device or synced with a network resource which manages the media content associated with the media device, preferably the preferred human language being determined based in part on closest match with the human language preference of the consumer; and communicating at least portion of audio or video of the media content in the preferred human language, on the media device, to all consumers visually proximate the media device, wherein communicating the media content in the preferred human language increases relevance of the media content with the consumer. | 12. A method of increasing the relevance of a media content communicated to consumers who are consuming the media content, the media content being displayed on a media device, the media device being public display advertising signage fixed in a public view location and typically only visually accessible to consumers, the method comprising: associating a consumer with a personal device and the personal device with a human language preference of the consumer: affixing the media device, in public view, visually accessible by the consumer; syncing the personal device with the media device, when the consumer, in possession of the personal device, is within viewable proximity of the media device; determining a preferred human language, by way of data communicating the human language preference associated with the personal device synced with the media device or synced with a network resource which manages the media content associated with the media device, preferably the preferred human language being determined based in part on closest match with the human language preference of the consumer; and communicating at least portion of audio or video of the media content in the preferred human language, on the media device, to all consumers visually proximate the media device, wherein communicating the media content in the preferred human language increases relevance of the media content with the consumer. 13. The method in accordance with claim 12 , further comprising: charging a non-premium rate when the media content is not communicated in the preferred human language; and charging a premium rate when the media content is communicated in the preferred human language. | 0.578691 |
1. A computer-implemented method for identifying one or more target entities, the method comprising: receiving, by a computer, an input data set, wherein the input data set includes a plurality of tokens that reflect the one or more target entities; determining, by the computer, which of the tokens are labels; identifying, by the computer, one or more candidate entities that are related to each of the labels, wherein individual ones of the candidate entities are associated with a number of candidates; assigning, by the computer, a weight to each candidate entity of a label based on each candidate entity's associated number of candidates, wherein the weight that is assigned to a particular one of the candidate entities is related to an inverse of the number of candidates associated with the particular candidate entity; ranking, by the computer the candidate entities of the label according to the assigned weights; and outputting, by the computer, one of the plurality of candidate entities for the label that has been assigned a highest weight value. | 1. A computer-implemented method for identifying one or more target entities, the method comprising: receiving, by a computer, an input data set, wherein the input data set includes a plurality of tokens that reflect the one or more target entities; determining, by the computer, which of the tokens are labels; identifying, by the computer, one or more candidate entities that are related to each of the labels, wherein individual ones of the candidate entities are associated with a number of candidates; assigning, by the computer, a weight to each candidate entity of a label based on each candidate entity's associated number of candidates, wherein the weight that is assigned to a particular one of the candidate entities is related to an inverse of the number of candidates associated with the particular candidate entity; ranking, by the computer the candidate entities of the label according to the assigned weights; and outputting, by the computer, one of the plurality of candidate entities for the label that has been assigned a highest weight value. 6. The method of claim 1 , further comprising: storing a threshold value; and eliminating individual ones of the candidate entities that have a weight value lower than the threshold value. | 0.553846 |
1. An adjustable interactive voice response (IVR) system, comprising: one or more servers programmed to execute an IVR adjustment module programmed to: receive from a user a search term corresponding to a verbal phrase recognizable in the IVR system, the received search term provided by the user via a graphical user interface displayed on an electronic device accessed by the user, the graphical user interface configured to provide the user with access to files within the IVR system and allow the user to edit IVR system properties; transmit to the electronic device a listing of audio files and options files corresponding to the verbal phrase recognizable in the IVR system, wherein the listing corresponding to the verbal phrase recognizable in the IVR system is rendered on the graphical user interface; edit an IVR properties file in response to user input received via the graphical user interface; and modify an IVR system flow to correspond to the edited IVR properties file. | 1. An adjustable interactive voice response (IVR) system, comprising: one or more servers programmed to execute an IVR adjustment module programmed to: receive from a user a search term corresponding to a verbal phrase recognizable in the IVR system, the received search term provided by the user via a graphical user interface displayed on an electronic device accessed by the user, the graphical user interface configured to provide the user with access to files within the IVR system and allow the user to edit IVR system properties; transmit to the electronic device a listing of audio files and options files corresponding to the verbal phrase recognizable in the IVR system, wherein the listing corresponding to the verbal phrase recognizable in the IVR system is rendered on the graphical user interface; edit an IVR properties file in response to user input received via the graphical user interface; and modify an IVR system flow to correspond to the edited IVR properties file. 5. The system of claim 1 , wherein the graphical user interface is a web-based tool configured to implement the edited IVR properties file in a test environment. | 0.617994 |
1. A method performed at a computing device, the method comprising: loading from an external computing resource, an interpreter program written in a language natively supported by the computing device able to execute a voice browser, the interpreter program being designed to interpret a second program language that is not natively supported by the voice browser on the computing device; loading a second program written in the second program language; and executing the second program, by the voice browser, using the interpreter program. | 1. A method performed at a computing device, the method comprising: loading from an external computing resource, an interpreter program written in a language natively supported by the computing device able to execute a voice browser, the interpreter program being designed to interpret a second program language that is not natively supported by the voice browser on the computing device; loading a second program written in the second program language; and executing the second program, by the voice browser, using the interpreter program. 6. The method of claim 1 , wherein the second language is an XML-based language. | 0.671429 |
1. A system, comprising: a processor coupled to a memory and a graphical user interface for displaying an object; the processor receives an input from a user concerning the object, wherein the input relating to a plurality of parts of at least one portion of the object, wherein each part of the at least one portion is separately identified by the user in the received input; and provides the received input to a keying module, wherein the keying module, based on the received input, a selectable list of object entities corresponding to the displayed object, and a predetermined data model corresponding to the displayed object, determines partial location data for each part of the at least one portion of the object, at least one field value for each part of the at least one portion of the object, and, optionally, at least one other information related to each part of the at least one portion of the object, wherein at least one object entity corresponding to each part of the at least one portion of the object is selected from the selectable list of object entities, wherein the predetermined data model includes at least one field, at least one object entity, at least one object label, and at least one object tag; and provides the received input, the determined partial location data for each part of the at least one portion of the object, the at least one field value for each part of the at least one portion of the object, and, optionally, the at least one other information related to each part of the at least one portion of the object to a recognition engine, the recognition engine is in communication with the keying module; based on the received input, the determined partial location data for each part of the at least one portion of the object, the at least one field value for each part of the at least one portion of the object, and, optionally, the at least one other information related to each part of the at least one portion of the object, the recognition engine generates a first information concerning the at least one portion of the object; and provides the first information to the keying module; the keying module generates an enhanced definition of the at least one portion of the object based on the first information received from the recognition engine and a second information concerning the at least one portion of the object stored by the keying module. | 1. A system, comprising: a processor coupled to a memory and a graphical user interface for displaying an object; the processor receives an input from a user concerning the object, wherein the input relating to a plurality of parts of at least one portion of the object, wherein each part of the at least one portion is separately identified by the user in the received input; and provides the received input to a keying module, wherein the keying module, based on the received input, a selectable list of object entities corresponding to the displayed object, and a predetermined data model corresponding to the displayed object, determines partial location data for each part of the at least one portion of the object, at least one field value for each part of the at least one portion of the object, and, optionally, at least one other information related to each part of the at least one portion of the object, wherein at least one object entity corresponding to each part of the at least one portion of the object is selected from the selectable list of object entities, wherein the predetermined data model includes at least one field, at least one object entity, at least one object label, and at least one object tag; and provides the received input, the determined partial location data for each part of the at least one portion of the object, the at least one field value for each part of the at least one portion of the object, and, optionally, the at least one other information related to each part of the at least one portion of the object to a recognition engine, the recognition engine is in communication with the keying module; based on the received input, the determined partial location data for each part of the at least one portion of the object, the at least one field value for each part of the at least one portion of the object, and, optionally, the at least one other information related to each part of the at least one portion of the object, the recognition engine generates a first information concerning the at least one portion of the object; and provides the first information to the keying module; the keying module generates an enhanced definition of the at least one portion of the object based on the first information received from the recognition engine and a second information concerning the at least one portion of the object stored by the keying module. 2. The system according to claim 1 , wherein the input concerning the object is received from the user via the graphical user interface. | 0.55828 |
1. A computer-implemented method executed by one or more processors, the method comprising: receiving, by one or more processors, a query; obtaining, by one or more processors, a plurality of search results that are responsive to the query; obtaining, by one or more processors, content from a social networking service that is responsive to the query and related to a particular search result of the plurality of search results, the content comprising a post published to the social networking service; modifying, by one or more processors, the particular search result to provide a revised search result comprising a summary of the post from the social networking service, the summary comprising a portions of the content; providing, by one or more processors, for display the revised search result and an interface component, the interface component being provided with the revised search result; and receiving, by one or more processors, a request for interacting with the content, the request being provided through the interface component, and in response: modifying the revised search result to include all of the content of the post from the social networking service to display the complete post with the particular search result. | 1. A computer-implemented method executed by one or more processors, the method comprising: receiving, by one or more processors, a query; obtaining, by one or more processors, a plurality of search results that are responsive to the query; obtaining, by one or more processors, content from a social networking service that is responsive to the query and related to a particular search result of the plurality of search results, the content comprising a post published to the social networking service; modifying, by one or more processors, the particular search result to provide a revised search result comprising a summary of the post from the social networking service, the summary comprising a portions of the content; providing, by one or more processors, for display the revised search result and an interface component, the interface component being provided with the revised search result; and receiving, by one or more processors, a request for interacting with the content, the request being provided through the interface component, and in response: modifying the revised search result to include all of the content of the post from the social networking service to display the complete post with the particular search result. 2. The method of claim 1 , further comprising: receiving the request for interacting with the content and displaying information received during the interaction together with the revised search result. | 0.592375 |
49. The process of claim 44 , wherein the analysis comprises a contextual analysis of one or more advertiser assets. | 49. The process of claim 44 , wherein the analysis comprises a contextual analysis of one or more advertiser assets. 50. The process of claim 49 , wherein the analyzed advertiser assets comprise elements of a network site associated with the advertiser entity. | 0.981677 |
28. The method as in claim 5 , further comprising: measuring the entire Short Message, comprising the Core Text, the Context Metadata, and the Cultural Linkages, against a formalization norm contained in the database to determine the extent to which the Short Message matches any such formalization norm. | 28. The method as in claim 5 , further comprising: measuring the entire Short Message, comprising the Core Text, the Context Metadata, and the Cultural Linkages, against a formalization norm contained in the database to determine the extent to which the Short Message matches any such formalization norm. 30. The method as in claim 28 , further comprising allowing the Short Message Service to send at least one additional message to signal the completion of any formal norm. | 0.899824 |
13. A computing system comprising a processor and memory, the memory including instructions when executed by the processor cause the processor to: receive a search request from a first search template page of a plurality of search template pages; identify a location of the first search template page located in a specific hierarchical area within a website hierarchy, wherein the first search template page is a search page within the specific hierarchical area within the website hierarchy from which the search request is received; determine that the first search template page lacks a child page that includes a second search template page of the plurality of search template pages within the website hierarchy and wherein the second search template page is a second search page; determine that the first search template page is not a root of the website hierarchy, wherein the root of the website hierarchy is a top tier webpage in the website hierarchy; set the first search template page to a parent page based upon, at least in part, determining that the first search template page lacks the child page that includes the second search template page of the plurality of search template pages and determining that the first search template page is not the root of the website hierarchy, wherein setting the first search template page to the parent page includes setting the parent page as a current page within the website hierarchy being displayed; set a search scope for the search request based on, at least in part, the location of the first search template page within the specific hierarchical area within the website hierarchy; and scope results of the search request to the specific hierarchical area of the website based upon, at least in part, the search scope. | 13. A computing system comprising a processor and memory, the memory including instructions when executed by the processor cause the processor to: receive a search request from a first search template page of a plurality of search template pages; identify a location of the first search template page located in a specific hierarchical area within a website hierarchy, wherein the first search template page is a search page within the specific hierarchical area within the website hierarchy from which the search request is received; determine that the first search template page lacks a child page that includes a second search template page of the plurality of search template pages within the website hierarchy and wherein the second search template page is a second search page; determine that the first search template page is not a root of the website hierarchy, wherein the root of the website hierarchy is a top tier webpage in the website hierarchy; set the first search template page to a parent page based upon, at least in part, determining that the first search template page lacks the child page that includes the second search template page of the plurality of search template pages and determining that the first search template page is not the root of the website hierarchy, wherein setting the first search template page to the parent page includes setting the parent page as a current page within the website hierarchy being displayed; set a search scope for the search request based on, at least in part, the location of the first search template page within the specific hierarchical area within the website hierarchy; and scope results of the search request to the specific hierarchical area of the website based upon, at least in part, the search scope. 18. The computing system of claim 13 , wherein the memory includes further instructions when executed by the processor cause the processor to direct search results to a webpage associated with the first search template page. | 0.513771 |
1. A computer-implemented method for building an analysis database associating each of a plurality of n-grams with corresponding respective cognitive motivation orientations, comprising: receiving a training corpus of training documents in electronic form; wherein the receiving of the training corpus of training documents comprises scanning at least one training document using OCR technology, and thereby transforming the at least one training document into electronic form; each training document comprising a plurality of meaningfully arranged words; each training document having at least one annotated word sequence therein; wherein within each training document, each particular annotated word sequence is annotated with a corresponding word-sequence-level annotation identifying at least one cognitive motivation orientation that is associated with that particular annotated word sequence; for each training document: for each annotated word sequence in that particular training document: extracting n-grams overlapping that particular annotated word sequence; and associating each extracted n-gram with the at least one cognitive motivation orientation associated with that particular annotated word sequence; generating a set of indicator candidate n-grams wherein: each indicator candidate n-gram represents all instances of a particular n-gram in the training corpus for which at least one instance of that particular n-gram was extracted from any annotated word sequence in any training document; each indicator candidate n-gram being associated with every cognitive motivation orientation that is associated with at least one instance of the particular n-gram represented by that particular indicator candidate n-gram; applying at least one relevance filter to each indicator candidate n-grams in the set of indicator candidate n-grams to obtain a set of indicator n-grams, wherein: the set of indicator n-grams is a subset of the set of indicator candidate n-grams, so that each indicator n-gram corresponds to only one indicator candidate n-gram and thereby each indicator n-gram represents all instances of a corresponding particular n-gram in the training corpus for which at least one instance of that particular n-gram was extracted from any annotated word sequence in any training document; each indicator n-gram is associated with only a single cognitive motivation orientation; and each indicator n-gram has, as its associated single cognitive motivation orientation, that single cognitive motivation orientation with which the instances of the particular n-gram represented by that particular indicator n-gram are most frequently associated. | 1. A computer-implemented method for building an analysis database associating each of a plurality of n-grams with corresponding respective cognitive motivation orientations, comprising: receiving a training corpus of training documents in electronic form; wherein the receiving of the training corpus of training documents comprises scanning at least one training document using OCR technology, and thereby transforming the at least one training document into electronic form; each training document comprising a plurality of meaningfully arranged words; each training document having at least one annotated word sequence therein; wherein within each training document, each particular annotated word sequence is annotated with a corresponding word-sequence-level annotation identifying at least one cognitive motivation orientation that is associated with that particular annotated word sequence; for each training document: for each annotated word sequence in that particular training document: extracting n-grams overlapping that particular annotated word sequence; and associating each extracted n-gram with the at least one cognitive motivation orientation associated with that particular annotated word sequence; generating a set of indicator candidate n-grams wherein: each indicator candidate n-gram represents all instances of a particular n-gram in the training corpus for which at least one instance of that particular n-gram was extracted from any annotated word sequence in any training document; each indicator candidate n-gram being associated with every cognitive motivation orientation that is associated with at least one instance of the particular n-gram represented by that particular indicator candidate n-gram; applying at least one relevance filter to each indicator candidate n-grams in the set of indicator candidate n-grams to obtain a set of indicator n-grams, wherein: the set of indicator n-grams is a subset of the set of indicator candidate n-grams, so that each indicator n-gram corresponds to only one indicator candidate n-gram and thereby each indicator n-gram represents all instances of a corresponding particular n-gram in the training corpus for which at least one instance of that particular n-gram was extracted from any annotated word sequence in any training document; each indicator n-gram is associated with only a single cognitive motivation orientation; and each indicator n-gram has, as its associated single cognitive motivation orientation, that single cognitive motivation orientation with which the instances of the particular n-gram represented by that particular indicator n-gram are most frequently associated. 3. The method of claim 1 , further comprising assigning a confidence weight to each indicator n-gram. | 0.780096 |
14. The system of claim 13 , wherein the impact analysis module examines proper technology mapping in response to the changes using the knowledge repository. | 14. The system of claim 13 , wherein the impact analysis module examines proper technology mapping in response to the changes using the knowledge repository. 15. The system of claim 14 , wherein the impact analysis module further changes the impacted items based on the changes identified. | 0.980111 |
16. A non-transitory computer-readable media encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving, from an application development user interface including one or more code-generation plugins, a selection of a template from plural templates, the template including: a declarative model file describing user interface aspects for declaring customization of applications in an implementation-independent, consistent way, independent of the selected template and a target computer for generated code; a metadata file including information describing the template; one or more template files providing specific syntax suitable for code generation; and custom code hooks for user customization of the template, including containers for holding custom code provided by the user and triggers for executing the custom code when the application code is executed according to timing specified by the hooks; providing the template in the application development user interface; receiving, from the application development user interface, customization inputs associated with the template, the customization inputs providing parameters used in the code-generation plugins; and automatically generating application code for the target computer based on the selected template and the received customization inputs, the generated application code including at least the code generated from the code-generation plugins. | 16. A non-transitory computer-readable media encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving, from an application development user interface including one or more code-generation plugins, a selection of a template from plural templates, the template including: a declarative model file describing user interface aspects for declaring customization of applications in an implementation-independent, consistent way, independent of the selected template and a target computer for generated code; a metadata file including information describing the template; one or more template files providing specific syntax suitable for code generation; and custom code hooks for user customization of the template, including containers for holding custom code provided by the user and triggers for executing the custom code when the application code is executed according to timing specified by the hooks; providing the template in the application development user interface; receiving, from the application development user interface, customization inputs associated with the template, the customization inputs providing parameters used in the code-generation plugins; and automatically generating application code for the target computer based on the selected template and the received customization inputs, the generated application code including at least the code generated from the code-generation plugins. 17. The non-transitory computer-readable media of claim 16 , wherein the template is consistent in use with other templates of the plural templates and provides a consistent coding experience for the user. | 0.563881 |
15. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: determining that a sponsored content item has been identified as likely containing malware; identifying features of a landing page of the sponsored content item that has been identified as likely containing malware, wherein the sponsored content item directs a content viewer to the landing page in response to a selection of the sponsored content item; identifying features of another landing page of another sponsored content item that has not been identified as likely containing malware; determining that the features of the landing page of the sponsored content item that has been identified as likely containing malware are similar or identical to the features of the other landing page of the other sponsored content item that has not been identified as likely containing malware; and based on determining that the features of the landing page of the sponsored content item that has been identified as likely containing malware are similar or identical to the features of the other landing page of the other sponsored content item that has not been identified as likely containing malware, suspending distribution of the other sponsored content item that has not been identified as likely containing malware. | 15. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: determining that a sponsored content item has been identified as likely containing malware; identifying features of a landing page of the sponsored content item that has been identified as likely containing malware, wherein the sponsored content item directs a content viewer to the landing page in response to a selection of the sponsored content item; identifying features of another landing page of another sponsored content item that has not been identified as likely containing malware; determining that the features of the landing page of the sponsored content item that has been identified as likely containing malware are similar or identical to the features of the other landing page of the other sponsored content item that has not been identified as likely containing malware; and based on determining that the features of the landing page of the sponsored content item that has been identified as likely containing malware are similar or identical to the features of the other landing page of the other sponsored content item that has not been identified as likely containing malware, suspending distribution of the other sponsored content item that has not been identified as likely containing malware. 16. The medium of claim 15 , wherein suspending distribution of the other sponsored content item that has not been identified as likely containing malware comprises suspending an account of an advertiser associated with the other sponsored content item that has not been identified as likely containing malware. | 0.638266 |
48. A method as claimed in claim 47 , wherein the device dependent information is stored as a set of tables and wherein the device dependent information is assimilated in a set of objects accessible to the tags in a run time environment of the code generating engine. | 48. A method as claimed in claim 47 , wherein the device dependent information is stored as a set of tables and wherein the device dependent information is assimilated in a set of objects accessible to the tags in a run time environment of the code generating engine. 56. A method as claimed in claim 48 , wherein the set of tables comprises a layout policy table defining for each device type the layout of the web page information with respect to a display area of each device type. | 0.943612 |
1. An apparatus for using information in the form of passively collected emotional responses to a media presentation that is made to one or more individuals, comprising: a media presentation perceivably exhibited to at least one individual having a profile; a detector for passively capturing emotional responses of said at least one individual to said media presentation during exhibition of said media presentation; a processor for producing a correlation that reflects a relationship between said at least one individual's emotional responses and at least one portion of said media presentation which contained stimuli that elicited said emotional responses; said processor identifying at least one group having a profile that is similar to the profile of said at least one individual; wherein at least one or more of said portions of said media presentation is perceivably exhibited to said group; wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are selected based upon said correlation between said at least one individual's emotional responses and at least one portion of said media presentation that contained stimuli that elicited said emotional response; and wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are presented to said group with some assurance of a positive reception by said group. | 1. An apparatus for using information in the form of passively collected emotional responses to a media presentation that is made to one or more individuals, comprising: a media presentation perceivably exhibited to at least one individual having a profile; a detector for passively capturing emotional responses of said at least one individual to said media presentation during exhibition of said media presentation; a processor for producing a correlation that reflects a relationship between said at least one individual's emotional responses and at least one portion of said media presentation which contained stimuli that elicited said emotional responses; said processor identifying at least one group having a profile that is similar to the profile of said at least one individual; wherein at least one or more of said portions of said media presentation is perceivably exhibited to said group; wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are selected based upon said correlation between said at least one individual's emotional responses and at least one portion of said media presentation that contained stimuli that elicited said emotional response; and wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are presented to said group with some assurance of a positive reception by said group. 11. The apparatus of claim 1 , said emotional responses comprising any of: laughter, excitement, interest, boredom, joy, sadness, anger, tone, and intensity and/or duration of the emotional response. | 0.676221 |
1. A method for evaluating a database, the method implemented by a computing device and comprising: receiving input information, the input information including: query information that describes a query for presenting to the database; condition information that describes a condition, wherein submitting the query to the database is desired to meet the condition; and database information that describes at least one characteristic of the database; generating output information based on the input information using a satisfiability modulo theories (SMT) approach, the output information including: table information that provides one or more tables for populating the database; parameter information that provides one or more parameter values to instantiate the query in an instance when the query includes one or more parameter variables; and result information that provides a predicted result that is predicted to occur upon submission of the query to the database; populating the database with the table information to provide a populated database; instantiating the query with the parameter information to provide an instantiated query; submitting the instantiated query to the populated database and receiving an evaluation result; and comparing the evaluation result with the condition information to provide an evaluation assessment, wherein the table information and the query information are provided such that, when the instantiated query is submitted to the populated database, the evaluation result agrees with the condition information; wherein said generating comprises: translating the query into a formula based on a background theory, wherein the formula is expressed within the background theory; preprocessing the formula to render the formula in a form suitable for processing by a SMT solver module; and processing the formula, after said preprocessing, using the SMT solver module to generate a model using the SMT approach. | 1. A method for evaluating a database, the method implemented by a computing device and comprising: receiving input information, the input information including: query information that describes a query for presenting to the database; condition information that describes a condition, wherein submitting the query to the database is desired to meet the condition; and database information that describes at least one characteristic of the database; generating output information based on the input information using a satisfiability modulo theories (SMT) approach, the output information including: table information that provides one or more tables for populating the database; parameter information that provides one or more parameter values to instantiate the query in an instance when the query includes one or more parameter variables; and result information that provides a predicted result that is predicted to occur upon submission of the query to the database; populating the database with the table information to provide a populated database; instantiating the query with the parameter information to provide an instantiated query; submitting the instantiated query to the populated database and receiving an evaluation result; and comparing the evaluation result with the condition information to provide an evaluation assessment, wherein the table information and the query information are provided such that, when the instantiated query is submitted to the populated database, the evaluation result agrees with the condition information; wherein said generating comprises: translating the query into a formula based on a background theory, wherein the formula is expressed within the background theory; preprocessing the formula to render the formula in a form suitable for processing by a SMT solver module; and processing the formula, after said preprocessing, using the SMT solver module to generate a model using the SMT approach. 2. The method of claim 1 , wherein the query corresponds to an SQL query. | 0.551116 |
10. A system for identifying an individual, comprising: an operating interface via which a user requests identification of an individual via the system; a biometric identification information imager that images at least one first input biometric identifier for the individual in support of the identification request; a biometric information converter that converts the at least one first input biometric identifier for the individual to an individual identification text string; a data storage device that stores (1) a plurality of previously-stored text strings representing biometric identification information for a population of identifiable individuals, and (2) an established threshold criteria for comparing the individual identification text string to the plurality of previously-stored text strings; a text-based search engine that compares the individual identification text string to the plurality of previously-stored text strings representing the biometric identification information for members of the population of identifiable individuals; and an output device that executes an action based on results of the comparing when the comparing identifies whether the individual is a member of the population of identifiable individuals, the output device displaying results of the comparing that meet the established threshold criteria presented as a rank-ordered list derived from the population of identifiable individuals based on text strings from the plurality of stored text strings being determined to be substantially equivalent to the individual identification text string according to the established threshold criteria. | 10. A system for identifying an individual, comprising: an operating interface via which a user requests identification of an individual via the system; a biometric identification information imager that images at least one first input biometric identifier for the individual in support of the identification request; a biometric information converter that converts the at least one first input biometric identifier for the individual to an individual identification text string; a data storage device that stores (1) a plurality of previously-stored text strings representing biometric identification information for a population of identifiable individuals, and (2) an established threshold criteria for comparing the individual identification text string to the plurality of previously-stored text strings; a text-based search engine that compares the individual identification text string to the plurality of previously-stored text strings representing the biometric identification information for members of the population of identifiable individuals; and an output device that executes an action based on results of the comparing when the comparing identifies whether the individual is a member of the population of identifiable individuals, the output device displaying results of the comparing that meet the established threshold criteria presented as a rank-ordered list derived from the population of identifiable individuals based on text strings from the plurality of stored text strings being determined to be substantially equivalent to the individual identification text string according to the established threshold criteria. 18. The system of claim 10 , the individual identification text string and the plurality of stored text strings comprising combinations of at least one of numbers, letters and symbols that are arranged by the biometric information converter in a format other than forming human recognizable words. | 0.63717 |
1. A network data transfer system comprising a memory having stored therein computer executable components and a processor that executes the computer executable components, wherein the computer executable components include: an Extensible Markup Language for Analysis (XMLA) protocol component that employs a computerized mark-up language to facilitate data interactions between network components, wherein the data interactions are based on, at least in part; (1) of an execute method having a statement command, (2) a discover method having at least one discover, and (3) at least one property of the mark-up language; and an XMLA extension component that operates with the protocol component to support the data interactions, wherein the extension component: (1) extends the statement method by utilizing the statement command to supply at least one other command to facilitate the data interactions, and wherein the at least one other command comprises at least one of a create command, an alter command, or a delete command; (2) extends the discover method by supplying at least one other discover type for discovering the state of objects on a server; (3) supplies at least one other property to further extend server object management capabilities; (4) supplies a parameter specification component that enables the statement command to be parameterized, and that enables one or more parameters to be sent with the at least one other command; and (5) supplies a binary markup-language extension for communications that facilitates communications between client and server components using a binary representation of the markup-language and that includes an interface enabling use of internal server identifiers of mark-up language elements directly in the binary representation. | 1. A network data transfer system comprising a memory having stored therein computer executable components and a processor that executes the computer executable components, wherein the computer executable components include: an Extensible Markup Language for Analysis (XMLA) protocol component that employs a computerized mark-up language to facilitate data interactions between network components, wherein the data interactions are based on, at least in part; (1) of an execute method having a statement command, (2) a discover method having at least one discover, and (3) at least one property of the mark-up language; and an XMLA extension component that operates with the protocol component to support the data interactions, wherein the extension component: (1) extends the statement method by utilizing the statement command to supply at least one other command to facilitate the data interactions, and wherein the at least one other command comprises at least one of a create command, an alter command, or a delete command; (2) extends the discover method by supplying at least one other discover type for discovering the state of objects on a server; (3) supplies at least one other property to further extend server object management capabilities; (4) supplies a parameter specification component that enables the statement command to be parameterized, and that enables one or more parameters to be sent with the at least one other command; and (5) supplies a binary markup-language extension for communications that facilitates communications between client and server components using a binary representation of the markup-language and that includes an interface enabling use of internal server identifiers of mark-up language elements directly in the binary representation. 10. The system of claim 1 , wherein the XMLA extension component further comprises an object description that is followed to facilitate network communications between components. | 0.569484 |
11. A system comprising: a statistical model for receiving at least a first natural language expression and a second natural language expression during a conversational session, wherein each of the first natural language expression and the second natural language expression include at least one of words, terms, and phrases; a single-turn model for determining a first prediction of at least one of a domain classification, intent classification, and slot type of each of the first natural language expression and the second natural language expression; a multi-turn model for determining a second prediction of at least one of a domain classification, intent classification, and slot type of each of the first natural language expression and the second natural language expression; a combination model for combining the first prediction and the second prediction of each of the first natural language expression and the second natural language expression to produce a final prediction relative to an intent of at least the second natural language expression; and a final model for performing an action based on the final prediction of at least the second natural language expression. | 11. A system comprising: a statistical model for receiving at least a first natural language expression and a second natural language expression during a conversational session, wherein each of the first natural language expression and the second natural language expression include at least one of words, terms, and phrases; a single-turn model for determining a first prediction of at least one of a domain classification, intent classification, and slot type of each of the first natural language expression and the second natural language expression; a multi-turn model for determining a second prediction of at least one of a domain classification, intent classification, and slot type of each of the first natural language expression and the second natural language expression; a combination model for combining the first prediction and the second prediction of each of the first natural language expression and the second natural language expression to produce a final prediction relative to an intent of at least the second natural language expression; and a final model for performing an action based on the final prediction of at least the second natural language expression. 12. The system of claim 11 , wherein performing an action based on the final prediction comprises responding to the second natural language expression. | 0.605839 |
19. The system of claim 1 , wherein the examining of the use of each said at least one skill or experience-related phrase in the resume includes examining a portion of the resume that surrounds each said at least one skill or experience-related phrase for a context. | 19. The system of claim 1 , wherein the examining of the use of each said at least one skill or experience-related phrase in the resume includes examining a portion of the resume that surrounds each said at least one skill or experience-related phrase for a context. 20. The system of claim 19 , wherein the processor is further configured to: when the experience range is zero: set the term of experience to zero; and when the experience range is greater than zero: determine a start time for the experience range; determine an end time for the experience range; compute a time difference between the start time and the end time; and set the term of experience to the time difference. | 0.887716 |
1. A system, comprising: a communication interface configured to receive an activity stream, wherein a text-based tag is inserted into the activity stream in response to an indication from a first user at a first system that an application action is desired to be performed at a second system controlled by a second user, wherein the text-based tag includes a command to perform the desired application action, wherein the first user at the first system exerts application-level control over the second system by inserting one or more text-based tags into the activity stream, and wherein an extent to which the first user is permitted to exert application level control over the second system can be controlled based on at least in part on including a corresponding tag in the activity stream; and a processor coupled to the communication interface and configured to: recognize in the activity stream the text-based tag; invoke a workflow, including create and start the workflow based at least in part on the text-based tag, in response to the workflow being created and started, determine, by a workflow engine, the application action that the first user at the first system desired to be performed at the second system based at least in part on the text-based tag, and determine an object associated with the desired application action based at least in part on information associated with the activity stream, and perform, at the second system, the application action commanded by the text-based tag in connection with the object. | 1. A system, comprising: a communication interface configured to receive an activity stream, wherein a text-based tag is inserted into the activity stream in response to an indication from a first user at a first system that an application action is desired to be performed at a second system controlled by a second user, wherein the text-based tag includes a command to perform the desired application action, wherein the first user at the first system exerts application-level control over the second system by inserting one or more text-based tags into the activity stream, and wherein an extent to which the first user is permitted to exert application level control over the second system can be controlled based on at least in part on including a corresponding tag in the activity stream; and a processor coupled to the communication interface and configured to: recognize in the activity stream the text-based tag; invoke a workflow, including create and start the workflow based at least in part on the text-based tag, in response to the workflow being created and started, determine, by a workflow engine, the application action that the first user at the first system desired to be performed at the second system based at least in part on the text-based tag, and determine an object associated with the desired application action based at least in part on information associated with the activity stream, and perform, at the second system, the application action commanded by the text-based tag in connection with the object. 12. The system of claim 1 , wherein the processor is further configured to, in response to recognizing the text-based tag in the activity stream, broadcast on an enterprise content management event bus, an event that notifies other computer elements of the system that the text-based tag has been detected. | 0.52983 |
1. A method for generating a large-scale database of heterogeneous speech, comprising: transcribing a plurality of multimedia signals retrieved from a large text database and a speech database; randomly selecting a plurality of speech segments from the plurality of multimedia signals, wherein each speech segment of the plurality of speech segments is of a random length; generating a plurality of signatures based on the plurality of speech segments; and populating the large-scale database with the plurality of signatures respective of the plurality of multimedia signals. | 1. A method for generating a large-scale database of heterogeneous speech, comprising: transcribing a plurality of multimedia signals retrieved from a large text database and a speech database; randomly selecting a plurality of speech segments from the plurality of multimedia signals, wherein each speech segment of the plurality of speech segments is of a random length; generating a plurality of signatures based on the plurality of speech segments; and populating the large-scale database with the plurality of signatures respective of the plurality of multimedia signals. 3. The method of claim 1 , wherein each signature of the plurality of signatures is robust to any of: noise, and distortion. | 0.921777 |
36. The apparatus in claim 35 wherein the classes comprise a plurality of sub-classes and said one class is one of said sub-classes. | 36. The apparatus in claim 35 wherein the classes comprise a plurality of sub-classes and said one class is one of said sub-classes. 38. The apparatus in claim 36 wherein the processor, in response to the stored instructions, implements the predefined manner by storing the first and second classes of messages in separate corresponding folders, or providing a predefined visual indication that said incoming message is a member of the first class. | 0.895088 |
1. A method for generating classifier data structures for classifying graphical objects, the method comprising: receiving, by a processor, an image; detecting, by the processor, a graphical object within the image; defining, by the processor, a bounding region encompassing the graphical object, wherein a border of the bounding region is located a predetermined distance from segments of the graphical object; identifying, by the processor, one or more candidate features of the graphical object within the bounding region, each of the one or more candidate features defined by one or more pixels; comparing, by the processor each of the one or more candidate features to feature definitions defining characteristics of one or more features detectable within one or more graphical objects; determining, by the processor, probabilities that each of the one or more candidate features satisfies a feature definition based on the comparing; and generating, by the processor, a classifier data structure for a graphical object type based, at least in part, on the probabilities. | 1. A method for generating classifier data structures for classifying graphical objects, the method comprising: receiving, by a processor, an image; detecting, by the processor, a graphical object within the image; defining, by the processor, a bounding region encompassing the graphical object, wherein a border of the bounding region is located a predetermined distance from segments of the graphical object; identifying, by the processor, one or more candidate features of the graphical object within the bounding region, each of the one or more candidate features defined by one or more pixels; comparing, by the processor each of the one or more candidate features to feature definitions defining characteristics of one or more features detectable within one or more graphical objects; determining, by the processor, probabilities that each of the one or more candidate features satisfies a feature definition based on the comparing; and generating, by the processor, a classifier data structure for a graphical object type based, at least in part, on the probabilities. 3. The method of claim 1 , further comprising determining a graphical object type corresponding to the classifier data structure based on an input received from a user. | 0.627594 |
14. The method of claim 11 wherein said attribute of the augmented URL reflects a relative popularity of the corresponding identified document. | 14. The method of claim 11 wherein said attribute of the augmented URL reflects a relative popularity of the corresponding identified document. 16. The method of claim 14 wherein said relative popularity of a given document is defined in terms of the number of times the document has been identified as a result of a search over a predetermined time interval. | 0.842007 |
18. The computer-readable storage medium of claim 14 , wherein the method further comprises: receiving a user input identifying a deployment environment, the deployment environment comprising a plurality of computing devices; and converting the user input defining the interactive document into a plurality of executable components, each of the executable components configured for execution on a computing device of the plurality of computing devices. | 18. The computer-readable storage medium of claim 14 , wherein the method further comprises: receiving a user input identifying a deployment environment, the deployment environment comprising a plurality of computing devices; and converting the user input defining the interactive document into a plurality of executable components, each of the executable components configured for execution on a computing device of the plurality of computing devices. 19. The computer-readable storage medium of claim 18 , wherein: each executable component in a first portion of the executable components pulls data from another executable component; and each executable component in a second portion of the executable components pushes data to another executable component. | 0.86096 |
9. The method as recited in claim 1 , further comprising: an act of receiving a second Web page request for a second Web page from a second Web browser, the second Web page request indicating a user-interface culture of the second Web browser, the user-interface culture including at least a language used by the second Web browser; an act of accessing a second server-side page that corresponds to the second Web page; an act of executing a second script manager that is included in the second server-side page; an act of the second script manager accessing a generic client-side script reference included in the second server-side page, the generic client-side script reference referring to a second client-side script that is to be executed at the second Web browser; an act of the second script manager using the generic client-side script reference and the user-interface culture of the second Web browser to identify an appropriate client-side script reference to return to the second Web browser, the appropriate client-side script reference referring to a culturally localized instance of the referenced script; an act of returning the appropriate client-side script reference to the second Web browser; an act of receiving the appropriate client-side script reference from the second Web browser in response to the second Web browser rendering the second Web page, reception of the appropriate client-side script reference being a request for the culturally localized instance of the second client-side script; and an act of returning the culturally localized instance of the second client-side script to the second Web browser such that execution of the second Web page at the second Web browser can be localized in accordance with the localizations contained in culturally localized instance of the second client-side script. | 9. The method as recited in claim 1 , further comprising: an act of receiving a second Web page request for a second Web page from a second Web browser, the second Web page request indicating a user-interface culture of the second Web browser, the user-interface culture including at least a language used by the second Web browser; an act of accessing a second server-side page that corresponds to the second Web page; an act of executing a second script manager that is included in the second server-side page; an act of the second script manager accessing a generic client-side script reference included in the second server-side page, the generic client-side script reference referring to a second client-side script that is to be executed at the second Web browser; an act of the second script manager using the generic client-side script reference and the user-interface culture of the second Web browser to identify an appropriate client-side script reference to return to the second Web browser, the appropriate client-side script reference referring to a culturally localized instance of the referenced script; an act of returning the appropriate client-side script reference to the second Web browser; an act of receiving the appropriate client-side script reference from the second Web browser in response to the second Web browser rendering the second Web page, reception of the appropriate client-side script reference being a request for the culturally localized instance of the second client-side script; and an act of returning the culturally localized instance of the second client-side script to the second Web browser such that execution of the second Web page at the second Web browser can be localized in accordance with the localizations contained in culturally localized instance of the second client-side script. 12. The method as recited in claim 9 , wherein the act of the second script manager using the generic client-side script reference and the user-interface culture of the second Web browser to identify an appropriate client-side script reference comprises act of using an indicated language and indicated country to identify an appropriate client-side script reference. | 0.773965 |
15. A computer storage medium encoded with a computer program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: obtaining a submitted search query, and in response to obtaining the search query: obtaining search results responsive to the search query; selecting a document from a group of documents identified by the search results; generating, from each entity text string in a subset of one or more entity text strings associated with the document one or more candidates for refined search queries, including: identifying three or more terms in the search query that each have a respective term score satisfying a term threshold, where the three or more terms occur in the search query in a particular order relative to each other, and combining the three or more terms with the entity text string to generate a candidate, where the three or more terms occur in the candidate in the particular order relative to each other; and identifying one or more of the candidates as being refined search queries to be provided with the search results in response to the search query. | 15. A computer storage medium encoded with a computer program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: obtaining a submitted search query, and in response to obtaining the search query: obtaining search results responsive to the search query; selecting a document from a group of documents identified by the search results; generating, from each entity text string in a subset of one or more entity text strings associated with the document one or more candidates for refined search queries, including: identifying three or more terms in the search query that each have a respective term score satisfying a term threshold, where the three or more terms occur in the search query in a particular order relative to each other, and combining the three or more terms with the entity text string to generate a candidate, where the three or more terms occur in the candidate in the particular order relative to each other; and identifying one or more of the candidates as being refined search queries to be provided with the search results in response to the search query. 18. The computer storage medium of claim 15 , where the operations further comprise: ranking each of the one or more entity text strings according to a respective frequency of occurrence of the entity text strings as a previously-submitted search query; and determining that the subset of the identified entity text strings includes only entity text strings with a ranking beyond a threshold rank. | 0.505008 |
18. The method of claim 1 , wherein placing the identification document comprises placing the identification document that includes a laminate surface and a substrate. | 18. The method of claim 1 , wherein placing the identification document comprises placing the identification document that includes a laminate surface and a substrate. 19. The method of claim 18 , wherein placing the identification document comprises placing the identification document with the metalized structure as a layer located under the laminate surface. | 0.899846 |
1. A method performed by data processing apparatus, the method comprising: identifying queries in query data; determining, in each of the queries, (i) an entity-descriptive portion that refers to an entity and (ii) a suffix; determining query counts of a number of times that the respective queries were submitted; for at least a particular query of the identified queries, distributing the query count for the particular query among multiple different entities by assigning, to each of the multiple different entities, a partial query count that is an estimate of a number of submissions of the particular query that refer to the entity; estimating, based at least in part on one or more of the partial query counts, an entity-level count of query submissions that include a particular suffix and are considered to refer to a first entity of the multiple different entities; determining that the first entity is a particular type of entity; determining a type-level count of the query submissions that include the particular suffix and are estimated to refer to entities of the particular type of entity; and assigning, based on the entity-level count and the type-level count, a score for the particular suffix with respect to the first entity. | 1. A method performed by data processing apparatus, the method comprising: identifying queries in query data; determining, in each of the queries, (i) an entity-descriptive portion that refers to an entity and (ii) a suffix; determining query counts of a number of times that the respective queries were submitted; for at least a particular query of the identified queries, distributing the query count for the particular query among multiple different entities by assigning, to each of the multiple different entities, a partial query count that is an estimate of a number of submissions of the particular query that refer to the entity; estimating, based at least in part on one or more of the partial query counts, an entity-level count of query submissions that include a particular suffix and are considered to refer to a first entity of the multiple different entities; determining that the first entity is a particular type of entity; determining a type-level count of the query submissions that include the particular suffix and are estimated to refer to entities of the particular type of entity; and assigning, based on the entity-level count and the type-level count, a score for the particular suffix with respect to the first entity. 12. The method of claim 1 , wherein multiple different suffixes are associated with the particular type of entity, each of the multiple different suffixes having a corresponding type-level count; wherein assigning the score for the particular suffix with respect to the first entity comprises: determining a scaling factor for the type-level count for the particular suffix based on a highest type-level count from the different type-level counts of the multiple different suffixes, the highest type-level count being different from the type-level count for the particular suffix; determining a scaled score by applying a scaling factor to the type-level count; and assigning the score for the particular suffix based on the entity-level count and the scaled score. | 0.5 |
16. The system of claim 12 , wherein the computer-readable storage medium stores additional instructions which, when executed by the processor, perform further operations comprising selecting exactly one of the first sentence or the second sentence for each of a plurality of messages. | 16. The system of claim 12 , wherein the computer-readable storage medium stores additional instructions which, when executed by the processor, perform further operations comprising selecting exactly one of the first sentence or the second sentence for each of a plurality of messages. 17. The system of claim 16 , wherein the plurality of messages is a message thread. | 0.935718 |
7. The method of claim 1 , wherein the obtained sets of annotations are clustered into annotation clusters based on the features within the piece of source data identified by the annotations using the distributed data annotation server system. | 7. The method of claim 1 , wherein the obtained sets of annotations are clustered into annotation clusters based on the features within the piece of source data identified by the annotations using the distributed data annotation server system. 9. The method of claim 7 , wherein the annotation clusters comprise annotations that are within a distance threshold from the ground truth for the feature identified by the annotations. | 0.947329 |
1. A system, comprising: one or more computing devices; and one or more computer-readable media coupled to the one or more computing devices and having instructions stored thereon which, when executed by the one or more computing devices, cause the one or more computing devices to perform operations comprising: transmitting a content data set to a computing device for displaying a post to an author user in a stream page of a social networking service, the post including a privacy setting that is displayed with the post, the author user having authored the post; receiving user input from the author user, the user input being associated with the privacy setting; in response to receiving the user input; identifying a distribution of the post, the distribution including one or more first contacts that have access to the post and are associated with the author user; identifying, for each first contact of the one or more first contacts, one or more second contacts associated with the first contact; comparing, for each second contact of the one or more second contacts, the second contact with each of the first contacts; based on the comparing, identifying one or more overlapping contacts; transmitting first data and second data to the computing device for display to the author user, the first data comprising a number of the one or more first contacts that are able to access the post and the second data indicating one or more relationships between the author user and the one or more overlapping contacts; receiving first user input, the first user input indicating creation of a first social circle; in response to receiving the first user input, providing one or more social networking contacts of the social network service for display to the author user, the one or more social networking contacts comprising social networking contacts associated with the author user; receiving second user input, the second user input indicating a selection of the one or more social networking contacts to define a first group of contacts and a second group of contacts; and generating the first social circle, the first group of contacts populating the first social circle, wherein one of the second data corresponds to the first social circle. | 1. A system, comprising: one or more computing devices; and one or more computer-readable media coupled to the one or more computing devices and having instructions stored thereon which, when executed by the one or more computing devices, cause the one or more computing devices to perform operations comprising: transmitting a content data set to a computing device for displaying a post to an author user in a stream page of a social networking service, the post including a privacy setting that is displayed with the post, the author user having authored the post; receiving user input from the author user, the user input being associated with the privacy setting; in response to receiving the user input; identifying a distribution of the post, the distribution including one or more first contacts that have access to the post and are associated with the author user; identifying, for each first contact of the one or more first contacts, one or more second contacts associated with the first contact; comparing, for each second contact of the one or more second contacts, the second contact with each of the first contacts; based on the comparing, identifying one or more overlapping contacts; transmitting first data and second data to the computing device for display to the author user, the first data comprising a number of the one or more first contacts that are able to access the post and the second data indicating one or more relationships between the author user and the one or more overlapping contacts; receiving first user input, the first user input indicating creation of a first social circle; in response to receiving the first user input, providing one or more social networking contacts of the social network service for display to the author user, the one or more social networking contacts comprising social networking contacts associated with the author user; receiving second user input, the second user input indicating a selection of the one or more social networking contacts to define a first group of contacts and a second group of contacts; and generating the first social circle, the first group of contacts populating the first social circle, wherein one of the second data corresponds to the first social circle. 2. The system of claim 1 , wherein the first data further comprises a general classification of the one or more first contacts associated with the author user within the social networking service. | 0.546234 |
1. A method of presenting a data input interface, the method comprising: displaying a single text input field which, through a first input to the text input field itself, can select between at least a first operation and a second operation; displaying, by a data processing system, a separator within the text input field, wherein a first portion and a second portion are separated by the separator; receiving the first input to the single text input field to determine a selected operation which includes one of the first operation or the second operation, wherein the first input comprises receiving a user input in either the first portion or the second portion of the text input field, wherein the first operation is selected if the user input is positioned in the first portion when the user input is received and wherein the second operation is selected if the user input is positioned in the second portion when the user input is received, wherein the first operation is a text search through a first source of data and wherein the second operation is either a file operation or a search operation that is different than the first operation, and wherein in response to the first input, the separator automatically disappears from the text input field and the first portion dominates the entire area of the text input field if the first operation is selected and the second portion dominates the entire area of the text input field if the second operation is selected; receiving a text input in the single text input field, the text input being displayable in the entire single text input field and performing the selected operation on the text input. | 1. A method of presenting a data input interface, the method comprising: displaying a single text input field which, through a first input to the text input field itself, can select between at least a first operation and a second operation; displaying, by a data processing system, a separator within the text input field, wherein a first portion and a second portion are separated by the separator; receiving the first input to the single text input field to determine a selected operation which includes one of the first operation or the second operation, wherein the first input comprises receiving a user input in either the first portion or the second portion of the text input field, wherein the first operation is selected if the user input is positioned in the first portion when the user input is received and wherein the second operation is selected if the user input is positioned in the second portion when the user input is received, wherein the first operation is a text search through a first source of data and wherein the second operation is either a file operation or a search operation that is different than the first operation, and wherein in response to the first input, the separator automatically disappears from the text input field and the first portion dominates the entire area of the text input field if the first operation is selected and the second portion dominates the entire area of the text input field if the second operation is selected; receiving a text input in the single text input field, the text input being displayable in the entire single text input field and performing the selected operation on the text input. 11. A method as in claim 1 wherein the text input is at least one of keyboard typing and speech recognition and wherein the first input is at least one of a keyboard input or a cursor control device input or speech recognition. | 0.640109 |
11. A computer program product, comprising: a non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code executable by a processor to perform an operation for identifying, based at least in part on a machine learning (ML) model, candidate values to provide to a question answering (QA) system as part of a case, the operation comprising: receiving a case, wherein the case includes a plurality of documents for evaluation by the QA system; evaluating the plurality of documents using natural language processing (NLP) to identify one or more concepts reflected by text content within the plurality of documents in the case, wherein the text content within the plurality of documents includes a first distinct value and a second distinct value of a plurality of distinct values for at least a first one of the concepts, wherein one or more of the plurality of distinct values includes a respective collection of one or more attributes; computing by the machine learning (ML) model, wherein the ML mode is a logical regression model, executed by a processor, a respective confidence score for each of the plurality of distinct values, wherein the ML model is built to compute the scores to select concept values based on a plurality of training cases, wherein each training case provides a plurality of documents and an indication of a preferred value for each concept having multiple values, wherein the preferred value for each concept is determined by: assigning a weight to each of the one or more attributes, wherein the one or more attributes include: (i) a date of an observation in the training case, (ii) a decisiveness of language used for the observation, and (iii) an accuracy of a procedure undertaken to make the observation; determining whether the one or more attributes meets a previously established relevancy threshold, and i) if the relevancy threshold is met, correlating, based on the assigned weights, a predictive quality of the one or more attributes in relation to a respective concept value to determine the preferred value and ii) if the relevancy threshold is not met, foregoing correlating, based on the assigned weights, a predictive quality of the one or more attribute in relation to a respective concept value to determine the preferred value; and selecting, based on the respective confidence scores, the first distinct value of the plurality of distinct values as a candidate value for the first concept to provide to the deep QA system to process the case; prior to submitting the case to the QA system, returning at least the candidate value selected for the first concept to present in a user interface; and submitting the case to the QA system using at least one selected value. | 11. A computer program product, comprising: a non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code executable by a processor to perform an operation for identifying, based at least in part on a machine learning (ML) model, candidate values to provide to a question answering (QA) system as part of a case, the operation comprising: receiving a case, wherein the case includes a plurality of documents for evaluation by the QA system; evaluating the plurality of documents using natural language processing (NLP) to identify one or more concepts reflected by text content within the plurality of documents in the case, wherein the text content within the plurality of documents includes a first distinct value and a second distinct value of a plurality of distinct values for at least a first one of the concepts, wherein one or more of the plurality of distinct values includes a respective collection of one or more attributes; computing by the machine learning (ML) model, wherein the ML mode is a logical regression model, executed by a processor, a respective confidence score for each of the plurality of distinct values, wherein the ML model is built to compute the scores to select concept values based on a plurality of training cases, wherein each training case provides a plurality of documents and an indication of a preferred value for each concept having multiple values, wherein the preferred value for each concept is determined by: assigning a weight to each of the one or more attributes, wherein the one or more attributes include: (i) a date of an observation in the training case, (ii) a decisiveness of language used for the observation, and (iii) an accuracy of a procedure undertaken to make the observation; determining whether the one or more attributes meets a previously established relevancy threshold, and i) if the relevancy threshold is met, correlating, based on the assigned weights, a predictive quality of the one or more attributes in relation to a respective concept value to determine the preferred value and ii) if the relevancy threshold is not met, foregoing correlating, based on the assigned weights, a predictive quality of the one or more attribute in relation to a respective concept value to determine the preferred value; and selecting, based on the respective confidence scores, the first distinct value of the plurality of distinct values as a candidate value for the first concept to provide to the deep QA system to process the case; prior to submitting the case to the QA system, returning at least the candidate value selected for the first concept to present in a user interface; and submitting the case to the QA system using at least one selected value. 14. The computer-program product of claim 11 , the operation further comprising: receiving a request to view other values from the plurality of distinct values in addition to the candidate value; and outputting the candidate value, the second distinct value, and a third distinct value of the plurality of distinct values in the user interface. | 0.5 |
13. A computer-implemented method of detecting and preventing leakage of sensitive documents from a particular organization, comprising: using a data leak prevention application to select a sensitivity category for a document based on a size of the document, a data type and a protocol of the document, the sensitivity category reflecting an extent to which leakage of the document out of the organization would harm that particular organization; checking a source and destination of the document if the protocol is for email; a user configuring interaction of a scripting language processing engine with the data leak prevention application to activate code portions of the scripting language processing engine at a run time event of the data leak prevention application, the scripting language processing engine embedded in the data leak prevention application and having access to data accessible to the data leak prevention application; using the scripting language processing engine to validate the data type of the document; re-selecting a sensitivity category for the document based on the validation; and using the data leak prevention application containing the embedded scripting language processing engine to perform an action to prevent data leakage of the document out of the organization based on the re-selection of the sensitivity category for the document. | 13. A computer-implemented method of detecting and preventing leakage of sensitive documents from a particular organization, comprising: using a data leak prevention application to select a sensitivity category for a document based on a size of the document, a data type and a protocol of the document, the sensitivity category reflecting an extent to which leakage of the document out of the organization would harm that particular organization; checking a source and destination of the document if the protocol is for email; a user configuring interaction of a scripting language processing engine with the data leak prevention application to activate code portions of the scripting language processing engine at a run time event of the data leak prevention application, the scripting language processing engine embedded in the data leak prevention application and having access to data accessible to the data leak prevention application; using the scripting language processing engine to validate the data type of the document; re-selecting a sensitivity category for the document based on the validation; and using the data leak prevention application containing the embedded scripting language processing engine to perform an action to prevent data leakage of the document out of the organization based on the re-selection of the sensitivity category for the document. 16. The method of claim 13 , further including selecting the sensitivity category of the document based on a data type characterized by a frequency that an identification number occurs in the document, the identification number identifying an individual customer, individual subscriber, individual citizen or individual member of the particular organization, the identification number occurring in the document unrelated to any step performed by the data leak prevention application applied on the document. | 0.5 |
21. A non-transitory computer-readable medium storing instructions that, when executed by a computer, cause the computer to perform functions for: receiving a selection of one or more identifiers of panel templates among a plurality of identifiers of panel templates, wherein each identifier of the plurality of identifiers is associated with a panel template that includes a query and a format for displaying an associated panel in a dashboard, wherein selecting the one or more identifiers of panel templates comprises: dragging each identifier of the one or more identifiers of panel templates onto a representation of a dashboard in a displayed dashboard-creation page; and dropping each dragged identifier at an associated position in the dashboard-creation page, each associated position being indicative of where the associated panel appears when the dashboard is displayed; in response to selecting an identifier of the one or more identifiers of panel templates: adding a reference to an associated panel template of the selected identifier in the associated panel in the dashboard-creation page; and adding to the dashboard-creation page an indication of the panel associated with the selected identifier; in response to a user action for a particular panel in the dashboard-creation page, executing a query included in a panel template referenced by the particular panel to generate data for display in that particular panel within the dashboard-creation page; and visualizing, within the particular panel within the dashboard-creation page, data resulting from execution of the query in the panel template referenced by the particular panel. | 21. A non-transitory computer-readable medium storing instructions that, when executed by a computer, cause the computer to perform functions for: receiving a selection of one or more identifiers of panel templates among a plurality of identifiers of panel templates, wherein each identifier of the plurality of identifiers is associated with a panel template that includes a query and a format for displaying an associated panel in a dashboard, wherein selecting the one or more identifiers of panel templates comprises: dragging each identifier of the one or more identifiers of panel templates onto a representation of a dashboard in a displayed dashboard-creation page; and dropping each dragged identifier at an associated position in the dashboard-creation page, each associated position being indicative of where the associated panel appears when the dashboard is displayed; in response to selecting an identifier of the one or more identifiers of panel templates: adding a reference to an associated panel template of the selected identifier in the associated panel in the dashboard-creation page; and adding to the dashboard-creation page an indication of the panel associated with the selected identifier; in response to a user action for a particular panel in the dashboard-creation page, executing a query included in a panel template referenced by the particular panel to generate data for display in that particular panel within the dashboard-creation page; and visualizing, within the particular panel within the dashboard-creation page, data resulting from execution of the query in the panel template referenced by the particular panel. 22. The non-transitory computer-readable medium of claim 21 , wherein the panel template referenced by each panel includes a definition of a local input that defines an aspect of or constrains the query in the panel template. | 0.701818 |
37. The method of claim 33 wherein the set of semantic programming constructs comprises: a set of non-primitive types for modeling semantics of an utterance or of an associated command. | 37. The method of claim 33 wherein the set of semantic programming constructs comprises: a set of non-primitive types for modeling semantics of an utterance or of an associated command. 39. The method of claim 37 and further comprising: adding to the set of non-primitive types via the program. | 0.966327 |
1. A method, comprising: generating a dictionary comprising (a) one or more transformations of words from singular to plural form and (b) one or more transformations of words from plural to singular form; counting a first number of times that a certain word appears in a set of two or more separate web documents, wherein the certain word is a singular form of the word; counting a second number of times that a transformation of the certain word appears in the set of two or more separate web documents, wherein the transformation of the certain word is a plural form of the certain word; computing a probability by either (a) dividing the second number by the first number or (b) dividing the first number by the second number, removing, from the dictionary, the certain word and the transformation of the certain word in response to determining that the probability is below a particular value; receiving a particular query from a user comprising a plurality of words; based on the particular query, determining whether a particular word in the particular query occurs in the dictionary; selecting from the dictionary a transformation of the particular word; and generating results based on executing a version of the particular query that includes both the particular word and the transformation of the particular word; wherein the method is performed by one or more computing devices. | 1. A method, comprising: generating a dictionary comprising (a) one or more transformations of words from singular to plural form and (b) one or more transformations of words from plural to singular form; counting a first number of times that a certain word appears in a set of two or more separate web documents, wherein the certain word is a singular form of the word; counting a second number of times that a transformation of the certain word appears in the set of two or more separate web documents, wherein the transformation of the certain word is a plural form of the certain word; computing a probability by either (a) dividing the second number by the first number or (b) dividing the first number by the second number, removing, from the dictionary, the certain word and the transformation of the certain word in response to determining that the probability is below a particular value; receiving a particular query from a user comprising a plurality of words; based on the particular query, determining whether a particular word in the particular query occurs in the dictionary; selecting from the dictionary a transformation of the particular word; and generating results based on executing a version of the particular query that includes both the particular word and the transformation of the particular word; wherein the method is performed by one or more computing devices. 2. The method of claim 1 , wherein the dictionary is based upon words used in a certain number of previous most frequent search queries. | 0.617247 |
1. A method performed by one or more server devices, the method comprising: receiving, using one or more processors associated with the one or more server devices, a document; selecting, using one or more processors associated with the one or more server devices, terms from the document to form a plurality of term pairs, where the selection is biased such that terms that appear closer to each other in the document have a greater probability of being included in the plurality of term pairs than terms that appear further from each other in the document; creating, using one or more processors associated with the one or more server devices, a cluster that includes the plurality of term pairs, where creating the cluster includes: sampling a quantity of the plurality of term pairs, where the quantity is determined based on a length of the document; and determining, using one or more processors associated with the one or more server devices, whether another document is similar to the document by comparing pairs of terms from the other document with the plurality of term pairs of the cluster. | 1. A method performed by one or more server devices, the method comprising: receiving, using one or more processors associated with the one or more server devices, a document; selecting, using one or more processors associated with the one or more server devices, terms from the document to form a plurality of term pairs, where the selection is biased such that terms that appear closer to each other in the document have a greater probability of being included in the plurality of term pairs than terms that appear further from each other in the document; creating, using one or more processors associated with the one or more server devices, a cluster that includes the plurality of term pairs, where creating the cluster includes: sampling a quantity of the plurality of term pairs, where the quantity is determined based on a length of the document; and determining, using one or more processors associated with the one or more server devices, whether another document is similar to the document by comparing pairs of terms from the other document with the plurality of term pairs of the cluster. 7. The method of claim 1 , where the selection is further biased such that terms that appear within hypertext markup language (HTML) tags are excluded from inclusion in one of the plurality of term pairs. | 0.553954 |
12. A system for new continuous query that includes folding a new continuous query into a shared continuous query plan (SCP) associated with a global range table, the system comprising: a processor; and a computer readable storage medium having instructions for execution by the processor which causes the processor to: receive a new continuous query; compile the new continuous query to generate an iterator model plan (IMP) and an associated local range table that includes a list of range variables, each of which uniquely identifies an object in the new continuous query, and wherein the IMP corresponds to an execution plan generated for the new continuous query and comprises one or more IMP operators, each of which includes one or more expressions whose variables are associated with the local range table; analyze the one or more IMP operators of IMP and one or more SCP operators of the SCP to produce one or more variable transforms and one or more plan items; wherein the one or more variable transforms modify the one or more expressions of the one or more IMP operators by associating the one or more IMP operators with variables of a global range table; wherein the one or more plan items comprise one or more groups of the one or more IMP operators; apply the variable transforms to modify the variables of the one or more IMP operators; generate a continuous query operator based on each plan item included in the one or more plan items; and provide the generated continuous query operator to a shared continuous query plan. | 12. A system for new continuous query that includes folding a new continuous query into a shared continuous query plan (SCP) associated with a global range table, the system comprising: a processor; and a computer readable storage medium having instructions for execution by the processor which causes the processor to: receive a new continuous query; compile the new continuous query to generate an iterator model plan (IMP) and an associated local range table that includes a list of range variables, each of which uniquely identifies an object in the new continuous query, and wherein the IMP corresponds to an execution plan generated for the new continuous query and comprises one or more IMP operators, each of which includes one or more expressions whose variables are associated with the local range table; analyze the one or more IMP operators of IMP and one or more SCP operators of the SCP to produce one or more variable transforms and one or more plan items; wherein the one or more variable transforms modify the one or more expressions of the one or more IMP operators by associating the one or more IMP operators with variables of a global range table; wherein the one or more plan items comprise one or more groups of the one or more IMP operators; apply the variable transforms to modify the variables of the one or more IMP operators; generate a continuous query operator based on each plan item included in the one or more plan items; and provide the generated continuous query operator to a shared continuous query plan. 17. The system of claim 12 , wherein the identified continuous query operator comprises a sub-plan including a group of two or more related operators of the iterator model plan. | 0.5 |
1. An edit selection control article of manufacture comprising: a combo box coupled to a list of entries of full textual length; an edit box coupled to said combo box within the edit selection control and configured to display a selected one of said entries; and, list management logic executing in memory of a computer coupled to said edit box and programmed to accept through said edit box as an alternative selection to said list of entries, a manually specified entry; the edit selection control having a structure defined by a dynamic markup language for use in a markup language document; and, selection transformation logic coupled to said edit box and programmed to transform said selected one of said entries into a hidden value and to return the computed value to a calling application based upon the selected one of the entries. | 1. An edit selection control article of manufacture comprising: a combo box coupled to a list of entries of full textual length; an edit box coupled to said combo box within the edit selection control and configured to display a selected one of said entries; and, list management logic executing in memory of a computer coupled to said edit box and programmed to accept through said edit box as an alternative selection to said list of entries, a manually specified entry; the edit selection control having a structure defined by a dynamic markup language for use in a markup language document; and, selection transformation logic coupled to said edit box and programmed to transform said selected one of said entries into a hidden value and to return the computed value to a calling application based upon the selected one of the entries. 3. The edit selection control of claim 1 , wherein said edit box is configured to display said selected one of said entries in abbreviated textual length. | 0.5 |
9. A method of browser functions for accessing and navigating one or more options by a user who is one or more of the following: a novice user, or a user with disabilities, characterized in that the method comprises the following steps; a. initiating a browser session by authenticating the user; b. recognizing an expertise level of the user for the browser session; c. applying a browser plug-in component operable with a browser interface and thereby providing one or more function options selectable by a user for accessing, navigating within, and moving between one or more activity pages to the user, said one or more activity pages including one or more webpages, and generating the one or more function options based upon the expertise level of the user and any disability of the user and thereby presenting said one or more function options in the one or more activity pages that are untransformed to be compatible in format, positioning and availability with the expertise level of the user and a disability accommodation for the user, and said function options including browser functions; and d. the user utilizing the one or more function options to access, and navigate within, and move between the one or more activity pages. | 9. A method of browser functions for accessing and navigating one or more options by a user who is one or more of the following: a novice user, or a user with disabilities, characterized in that the method comprises the following steps; a. initiating a browser session by authenticating the user; b. recognizing an expertise level of the user for the browser session; c. applying a browser plug-in component operable with a browser interface and thereby providing one or more function options selectable by a user for accessing, navigating within, and moving between one or more activity pages to the user, said one or more activity pages including one or more webpages, and generating the one or more function options based upon the expertise level of the user and any disability of the user and thereby presenting said one or more function options in the one or more activity pages that are untransformed to be compatible in format, positioning and availability with the expertise level of the user and a disability accommodation for the user, and said function options including browser functions; and d. the user utilizing the one or more function options to access, and navigate within, and move between the one or more activity pages. 14. The method of claim 9 , characterized in that it comprises the further steps of the user setting one or more user preferences; and the one or more user preferences being stored in one or more data storage means. | 0.690524 |
1. An automated, computer implemented method of electronically processing a document stored in a memory of a computer, said document containing text represented by characters, said method comprising the steps of: a) using the computer, automatically determining a frequency of occurrence of expressions in the document not contained in a stop list and having at least a first predetermined level of complexity, said stop list stored in the memory of said computer; b) using the computer, automatically forming a seed list comprised of a second predetermined number of the most frequently occurring expressions determined in step (a), said seed list stored in said memory of said computer; c) using said computer, automatically forming a summary of the document comprised of regions in the document containing at least two members of said seed list, said summary stored in said memory of said computer; and d) using said computer, automatically repeating steps (a)-(c) on said summary until a length of said summary is no greater than a predetermined length, each time steps (a)-(c) are repeated, adding the members of said seed list to said stop list and reducing said first predetermined level of complexity. | 1. An automated, computer implemented method of electronically processing a document stored in a memory of a computer, said document containing text represented by characters, said method comprising the steps of: a) using the computer, automatically determining a frequency of occurrence of expressions in the document not contained in a stop list and having at least a first predetermined level of complexity, said stop list stored in the memory of said computer; b) using the computer, automatically forming a seed list comprised of a second predetermined number of the most frequently occurring expressions determined in step (a), said seed list stored in said memory of said computer; c) using said computer, automatically forming a summary of the document comprised of regions in the document containing at least two members of said seed list, said summary stored in said memory of said computer; and d) using said computer, automatically repeating steps (a)-(c) on said summary until a length of said summary is no greater than a predetermined length, each time steps (a)-(c) are repeated, adding the members of said seed list to said stop list and reducing said first predetermined level of complexity. 13. The method of claim 1, further comprising including in a final summary of said document, any regions located in a first paragraph of said document, and contained in a summary of the document a first time step (c) is performed by said computer. | 0.6764 |
13. One or more non-transitory computer readable media having software program code operable to perform operations comprising: receiving speech data and non-speech data from a mobile device, the non-speech data being associated with time information, the time information operable to specify a sequence in which the speech data and non-speech data are assembled; retrieving text data from the speech data using speech recognition; assembling the text data with the non-speech data based on the time information to produce output data; and providing the output data to the mobile device. | 13. One or more non-transitory computer readable media having software program code operable to perform operations comprising: receiving speech data and non-speech data from a mobile device, the non-speech data being associated with time information, the time information operable to specify a sequence in which the speech data and non-speech data are assembled; retrieving text data from the speech data using speech recognition; assembling the text data with the non-speech data based on the time information to produce output data; and providing the output data to the mobile device. 14. The computer readable media of claim 13 , wherein the time information includes a timestamp of the non-speech data, the timestamp indicating a relative time of the non-speech data to the speech data. | 0.586435 |
37. An apparatus for providing a mobile device-based community corrections supervision system, comprising: at least one processor; at least one network interface; a memory; a screen; a camera; a microphone; and a software application, physically stored in the memory, comprising instructions operable to cause the at least one processor to: receive, using the at least one network interface and from a remote server, a first alert requiring an enrollee, to which the apparatus belongs, to perform a first check-in; receive a first acknowledgement of the first alert from the enrollee; present, in response to receiving the first acknowledgment, a displayed text to the enrollee via the screen; request, after the presenting, the enrollee to recite the displayed text; record, using the camera and the microphone, the enrollee reciting the displayed text to obtain a recordation; and transmit, using the at least one network interface, the recordation to the remote server for monitoring by a supervision case manager assigned to the enrollee. | 37. An apparatus for providing a mobile device-based community corrections supervision system, comprising: at least one processor; at least one network interface; a memory; a screen; a camera; a microphone; and a software application, physically stored in the memory, comprising instructions operable to cause the at least one processor to: receive, using the at least one network interface and from a remote server, a first alert requiring an enrollee, to which the apparatus belongs, to perform a first check-in; receive a first acknowledgement of the first alert from the enrollee; present, in response to receiving the first acknowledgment, a displayed text to the enrollee via the screen; request, after the presenting, the enrollee to recite the displayed text; record, using the camera and the microphone, the enrollee reciting the displayed text to obtain a recordation; and transmit, using the at least one network interface, the recordation to the remote server for monitoring by a supervision case manager assigned to the enrollee. 44. The apparatus of claim 37 , wherein the first alert is manually initiated by the supervision case manager via the remote server. | 0.589506 |
9. A system for selecting a word, the system comprising: at least one computer comprising at least one processor and at least one memory, the at least one computer configured to: compute a word hash vector for each word of a vocabulary of words; receive a sequence of words; generating a sequence of word hash vectors by obtaining a word hash vector for each word of the sequence of words; process the sequence of word hash vectors with a layer of a language model to compute an output vector; quantize the output vector to obtain an output word hash vector; determine a distance between the output word hash vector and a first hash vector for a first word in the vocabulary; and select the first word from the vocabulary using the distance between the output word hash vector and the first hash vector for the first word. | 9. A system for selecting a word, the system comprising: at least one computer comprising at least one processor and at least one memory, the at least one computer configured to: compute a word hash vector for each word of a vocabulary of words; receive a sequence of words; generating a sequence of word hash vectors by obtaining a word hash vector for each word of the sequence of words; process the sequence of word hash vectors with a layer of a language model to compute an output vector; quantize the output vector to obtain an output word hash vector; determine a distance between the output word hash vector and a first hash vector for a first word in the vocabulary; and select the first word from the vocabulary using the distance between the output word hash vector and the first hash vector for the first word. 14. The system of claim 9 , wherein the at least one computer is configured to quantize the output vector using a linear kernel support vector machine. | 0.758288 |
8. A system comprising: at least one server computing device, each server computing device comprising a processor and a storage medium for tangibly storing thereon program logic for execution by the processor, the stored program logic comprising: making logic executed by the processor for making, in response to a request to identify a supported language to display content by a client application at a client computing device, the supported language having a set of translations for use in translating the content, a determination, using a current language tag, that a language referenced by the current language tag is not the supported language, the current language tag comprising one or more subtags, each subtag providing language identification information; in response to making the determination that the language referenced by the current language tag is not the supported language, the stored program logic further comprising: accessing logic executed by the processor for accessing a stored set of mappings comprising one or more mappings, each mapping associating a first language tag referencing a first language with a second language tag referencing a second language that differs from the first language; determining logic executed by the processor for determining whether or not a mapping in the set of mappings includes the current language tag referencing the first language as one of the first and second language tags and a new language tag referencing the second language that differs from the first language as the other of the first and second language tags; using logic executed by the processor for using the new language tag as the current language tag, the new language tag identifying the second language that differs from the first language as the supported language; and identifying logic executed by the processor for identifying, in response to the request, the supported language to use in translating the content to be displayed by the client application at the client computing device. | 8. A system comprising: at least one server computing device, each server computing device comprising a processor and a storage medium for tangibly storing thereon program logic for execution by the processor, the stored program logic comprising: making logic executed by the processor for making, in response to a request to identify a supported language to display content by a client application at a client computing device, the supported language having a set of translations for use in translating the content, a determination, using a current language tag, that a language referenced by the current language tag is not the supported language, the current language tag comprising one or more subtags, each subtag providing language identification information; in response to making the determination that the language referenced by the current language tag is not the supported language, the stored program logic further comprising: accessing logic executed by the processor for accessing a stored set of mappings comprising one or more mappings, each mapping associating a first language tag referencing a first language with a second language tag referencing a second language that differs from the first language; determining logic executed by the processor for determining whether or not a mapping in the set of mappings includes the current language tag referencing the first language as one of the first and second language tags and a new language tag referencing the second language that differs from the first language as the other of the first and second language tags; using logic executed by the processor for using the new language tag as the current language tag, the new language tag identifying the second language that differs from the first language as the supported language; and identifying logic executed by the processor for identifying, in response to the request, the supported language to use in translating the content to be displayed by the client application at the client computing device. 10. The system of claim 8 , wherein the mapping that includes the current language tag as one of the first and second language tags comprises a lateral mapping. | 0.605744 |
1. A computer program product comprising: a non-transitory computer useable storage medium including a computer readable program, wherein the computer readable program when executed on a computer causes the computer to function as a system for calculating total importance of each of electronic documents, based on (i) a plurality of electronic documents chained to each other in a relation of referencing, from a start electronic document which is not referenced by any other electronic document to a terminal electronic document which does not reference any other document, (ii)information on relation of referencing and being referenced, (iii) an important phrase, and (iv) a response coefficient determining phrase, (i) through (iv) being stored in a storage device, the computer program causing a computer to (a) calculate importance of a given electronic document among the plurality of electronic documents, on the basis of the degree of similarity between the important phrase and a phrase included in the given electronic document; (b) identify at least one second electronic document which references the given electronic document, on the basis of information referenced; (c) calculate a response coefficient against a first electronic document, on the basis of a degree of similarity between a phrase included in the second electronic document and the response coefficient determining phrase; (d) calculate the total importance of the given electronic document, based on importance unique to one electronic document of the given electronic document, and total importance of the second electronic document; and (e) calculate the total importance of each of the plurality of electronic documents, by applying (a) to (d) to each of a plurality of pairs of the plurality of electronic documents. | 1. A computer program product comprising: a non-transitory computer useable storage medium including a computer readable program, wherein the computer readable program when executed on a computer causes the computer to function as a system for calculating total importance of each of electronic documents, based on (i) a plurality of electronic documents chained to each other in a relation of referencing, from a start electronic document which is not referenced by any other electronic document to a terminal electronic document which does not reference any other document, (ii)information on relation of referencing and being referenced, (iii) an important phrase, and (iv) a response coefficient determining phrase, (i) through (iv) being stored in a storage device, the computer program causing a computer to (a) calculate importance of a given electronic document among the plurality of electronic documents, on the basis of the degree of similarity between the important phrase and a phrase included in the given electronic document; (b) identify at least one second electronic document which references the given electronic document, on the basis of information referenced; (c) calculate a response coefficient against a first electronic document, on the basis of a degree of similarity between a phrase included in the second electronic document and the response coefficient determining phrase; (d) calculate the total importance of the given electronic document, based on importance unique to one electronic document of the given electronic document, and total importance of the second electronic document; and (e) calculate the total importance of each of the plurality of electronic documents, by applying (a) to (d) to each of a plurality of pairs of the plurality of electronic documents. 2. The computer program product according to claim 1 , wherein calculating the total importance of each of the plurality of electronic documents includes calculating the total importance of each of the electronic documents, by sequentially applying (a) to (d) to each of a plurality of pairs of the chained electronic documents, starting from a pair of the start electronic document and an electronic document that the start electronic document references toward the terminal electronic document along the chain. | 0.584043 |
13. The system of claim 9 further comprising a stack over which the scripting engine executes arithmetic operations included in a script pattern in the plurality of script patterns. | 13. The system of claim 9 further comprising a stack over which the scripting engine executes arithmetic operations included in a script pattern in the plurality of script patterns. 14. The system of claim 13 further comprising secondary memory configured to forward and receive data to and from the stack. | 0.919763 |
1. A computer-implemented method, comprising: identifying structured document data in a document, the structured document data including information identifying one or more entities and, for each entity, a resource locator specifying a resource location of a resource for the entity; determining one or more terms associated with a particular entity of the one or more entities, the determining the one or more terms comprising: identifying anchor text in the structured document data, the anchor text including the one or more terms; determining a number of documents in a set of documents that include the identified anchor text; and determining that the number of documents exceed a threshold number of documents; generating one or more synthetic queries from the structured document data, the generating comprising generating a synthetic query that includes the anchor text; storing the synthetic query in an augmentation query data store; identifying search results that are relevant to the synthetic query; associating, in the augmentation query data store, the identified search results and the resource for the particular entity with the synthetic query; and storing at least a portion of the identified search results and a search result for the resource for the particular entity in a cached search results store for use in an augmented search operation, wherein the stored search results are provided with other search results in response to the augmented search operation, the other search results being responsive to a received query for which the augmented search operation is performed. | 1. A computer-implemented method, comprising: identifying structured document data in a document, the structured document data including information identifying one or more entities and, for each entity, a resource locator specifying a resource location of a resource for the entity; determining one or more terms associated with a particular entity of the one or more entities, the determining the one or more terms comprising: identifying anchor text in the structured document data, the anchor text including the one or more terms; determining a number of documents in a set of documents that include the identified anchor text; and determining that the number of documents exceed a threshold number of documents; generating one or more synthetic queries from the structured document data, the generating comprising generating a synthetic query that includes the anchor text; storing the synthetic query in an augmentation query data store; identifying search results that are relevant to the synthetic query; associating, in the augmentation query data store, the identified search results and the resource for the particular entity with the synthetic query; and storing at least a portion of the identified search results and a search result for the resource for the particular entity in a cached search results store for use in an augmented search operation, wherein the stored search results are provided with other search results in response to the augmented search operation, the other search results being responsive to a received query for which the augmented search operation is performed. 9. The method of claim 1 , further comprising: identifying a home page for the particular entity; associating, in the augmentation query data store, the identified home page with the synthetic query; and storing a search result for the identified home page in the cached search results store for use in an augmented search operation. | 0.629967 |
9. A content management system comprising: (a) a computer having a content processing system which comprises: a content controller receiving content composed by an author user and creating identified content, the content composed by the author user having one meaning by the author user; and an image controller inserting images by associating the identified content with at least one image clarifying subject matter of the identified content, and forming a visualization of content, the image controller associating the identified content with the at least one image in a manner free of human intervention; and wherein the clarifying of subject matter includes: (i) based on historical usage by other users, determining additional meaning for the identified content, the additional meaning being beyond the one meaning of the author user and including synonyms of the identified content and (ii) treating textual content beyond terms of the one meaning to the author user including the synonyms of the determined additional meaning, and wherein the formed visualization effectively enables a reader user to not only receive but interpret and understand the subject matter based on the relevant image presented adjoining the textual content; and (b) output display means for displaying the formed visualization of content to one or more reader users, the displayed visualization of content bridging any language barrier between any reader user of the identified content and the author user of the received content, each reader user being a different person than the author user. | 9. A content management system comprising: (a) a computer having a content processing system which comprises: a content controller receiving content composed by an author user and creating identified content, the content composed by the author user having one meaning by the author user; and an image controller inserting images by associating the identified content with at least one image clarifying subject matter of the identified content, and forming a visualization of content, the image controller associating the identified content with the at least one image in a manner free of human intervention; and wherein the clarifying of subject matter includes: (i) based on historical usage by other users, determining additional meaning for the identified content, the additional meaning being beyond the one meaning of the author user and including synonyms of the identified content and (ii) treating textual content beyond terms of the one meaning to the author user including the synonyms of the determined additional meaning, and wherein the formed visualization effectively enables a reader user to not only receive but interpret and understand the subject matter based on the relevant image presented adjoining the textual content; and (b) output display means for displaying the formed visualization of content to one or more reader users, the displayed visualization of content bridging any language barrier between any reader user of the identified content and the author user of the received content, each reader user being a different person than the author user. 10. The content management system of claim 9 , further configured to fetch the at least one image from a trusted source. | 0.661375 |
18. A computer-readable medium having stored thereon a data structure representing a system model, said data structure comprising: a first field for storing a reference data type definition, said reference data type definition corresponding to a reference entity in the system model; and a second field, within the reference data type definition in the first field, for storing an instance of a target data type definition, said instance comprising instances of one or more target data type elements each describing one or more target entities expected to be associated with the reference entity according to predefined entity relationships, said one or more expected target entities not being required according to the predefined entity relations, wherein a computing device executes computer-executable instructions to: instantiate the reference data type definition stored in the first field; associate the instantiated reference data type definition with the instance of the target data type definition stored in the second field to relate the reference entity to the expected target entities according to the predefined relationships; and store the instantiated reference data type definition in a markup language document, said markup language document representing the system model. | 18. A computer-readable medium having stored thereon a data structure representing a system model, said data structure comprising: a first field for storing a reference data type definition, said reference data type definition corresponding to a reference entity in the system model; and a second field, within the reference data type definition in the first field, for storing an instance of a target data type definition, said instance comprising instances of one or more target data type elements each describing one or more target entities expected to be associated with the reference entity according to predefined entity relationships, said one or more expected target entities not being required according to the predefined entity relations, wherein a computing device executes computer-executable instructions to: instantiate the reference data type definition stored in the first field; associate the instantiated reference data type definition with the instance of the target data type definition stored in the second field to relate the reference entity to the expected target entities according to the predefined relationships; and store the instantiated reference data type definition in a markup language document, said markup language document representing the system model. 20. The computer-readable medium of claim 18 wherein the second field is stored within an appinfo element of the reference data type definition in the first field. | 0.719814 |
8. A computer-implemented method comprising: under control of one or more computing devices configured with specific computer-executable instructions, generating a first score based at least partly on a likelihood that a frame, of a window of sequential frames of audio data, comprises audio data corresponding to a keyword, wherein the window comprises the frame and an equal quantity of (1) frames before the frame and (2) frames after the frame; generating a second score based at least partly on a likelihood that the frame comprises audio data corresponding to background audio; determining a difference between the first score and the second score; and determining that the frame corresponds to an end of the keyword based at least partly on the difference being greater than differences determined for the frames before the frame, and differences determined for the frames after the frame. | 8. A computer-implemented method comprising: under control of one or more computing devices configured with specific computer-executable instructions, generating a first score based at least partly on a likelihood that a frame, of a window of sequential frames of audio data, comprises audio data corresponding to a keyword, wherein the window comprises the frame and an equal quantity of (1) frames before the frame and (2) frames after the frame; generating a second score based at least partly on a likelihood that the frame comprises audio data corresponding to background audio; determining a difference between the first score and the second score; and determining that the frame corresponds to an end of the keyword based at least partly on the difference being greater than differences determined for the frames before the frame, and differences determined for the frames after the frame. 12. The computer-implemented method of claim 8 , wherein generating the first score comprises using a hidden Markov model of audio data that corresponds to the keyword, and wherein generating the second score comprises using a hidden Markov model of audio data that does not correspond to the keyword. | 0.662791 |
1. A computer-implemented method for training a user, comprising: by a sensor, sensing at least one action performed by the user and data corresponding to the at least one action to yield sensed data, wherein: the sensor comprises a USB sensor device and the sensing comprises detecting that a user of an electronic device has connected a USB device to the electronic device, the sensor comprises a Wi-Fi sensor device and the sensing comprises detecting that the user has connected the electronic device to a Wi-Fi access point, the sensor comprises a Bluetooth headset usage detection sensor and the sensing comprises identifying Bluetooth headset use, the sensor comprises a camera coupled with a computer vision program, or the sensor comprises a physical location tracking sensor and the sensing comprises detecting a location of the user; by a computer system comprising a processor, executing computer-readable programming instructions that cause the system to: access a data storage device that stores a training needs model that comprises an estimate of at least one of a cost and a benefit of exposing the user to at least one available training action, apply, to the training needs model, the sensed data to identify a cybersecurity threat scenario for which the user is at risk, access a collection of available training actions and select, based on the sensed data and the cybersecurity threat scenario, at least one training action from the collection of available training actions, and cause the selected at least one cybersecurity training action to be delivered to the user. | 1. A computer-implemented method for training a user, comprising: by a sensor, sensing at least one action performed by the user and data corresponding to the at least one action to yield sensed data, wherein: the sensor comprises a USB sensor device and the sensing comprises detecting that a user of an electronic device has connected a USB device to the electronic device, the sensor comprises a Wi-Fi sensor device and the sensing comprises detecting that the user has connected the electronic device to a Wi-Fi access point, the sensor comprises a Bluetooth headset usage detection sensor and the sensing comprises identifying Bluetooth headset use, the sensor comprises a camera coupled with a computer vision program, or the sensor comprises a physical location tracking sensor and the sensing comprises detecting a location of the user; by a computer system comprising a processor, executing computer-readable programming instructions that cause the system to: access a data storage device that stores a training needs model that comprises an estimate of at least one of a cost and a benefit of exposing the user to at least one available training action, apply, to the training needs model, the sensed data to identify a cybersecurity threat scenario for which the user is at risk, access a collection of available training actions and select, based on the sensed data and the cybersecurity threat scenario, at least one training action from the collection of available training actions, and cause the selected at least one cybersecurity training action to be delivered to the user. 40. The method of claim 1 , further comprising deriving the training needs model estimate, at least in part, using statistical data analysis techniques used to derive models that predict one or more parameters, the one or more parameters including the effectiveness of available training actions in addressing different training needs in different contexts, the effectiveness of combinations of training actions in addressing different training needs in the different contexts, the costs associated with exposing the user to a training action, the cost associated with exposing the user to a combination of training actions, the expected benefits of exposing the user to a given training action in a given context, and the expected benefits of exposing the user to combinations of training actions in a given context. | 0.5 |
Subsets and Splits
No saved queries yet
Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.