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3. A method according to claim 1 , comprising: determining a ranking of at least one of the following items: a) said stored relation between said stored query and at least one stored reference to a document; b) said at least one reference to a document; c) said first stored query; and d) said used second query said ranking determination of said at least one of said items being based on at least one of the said traced actions by said user.
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3. A method according to claim 1 , comprising: determining a ranking of at least one of the following items: a) said stored relation between said stored query and at least one stored reference to a document; b) said at least one reference to a document; c) said first stored query; and d) said used second query said ranking determination of said at least one of said items being based on at least one of the said traced actions by said user. 4. The method according to claim 3 , comprising registering, to said user, at least one of: a) at least one of said user actions; and b) at least one of said ranking determinations.
| 0.846683 |
62. The non-transitory computer-readable medium of claim 47 , wherein at least one of the plurality of scoring algorithms searches a target operation within the target network traffic for one or more segments of structured query language (SQL) that potentially indicate an attack.
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62. The non-transitory computer-readable medium of claim 47 , wherein at least one of the plurality of scoring algorithms searches a target operation within the target network traffic for one or more segments of structured query language (SQL) that potentially indicate an attack. 64. The non-transitory computer-readable medium of claim 62 , wherein the one or more segments of SQL represent potentially one or more time-consuming SQL clauses.
| 0.903991 |
1. A system for segmenting multi-speaker speech data by speaker, the system comprising: a processor; a first module configured to control the processor to check whether segments in a first group of estimated segments overlap segments in a second group of estimated segments, wherein if segments of the first group overlap with segments of the second group, then pooling the first group and the second group; and a second module configured to control the processor to model and resegment any pooled groups and remaining groups of estimated segments to obtain stable segmentations.
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1. A system for segmenting multi-speaker speech data by speaker, the system comprising: a processor; a first module configured to control the processor to check whether segments in a first group of estimated segments overlap segments in a second group of estimated segments, wherein if segments of the first group overlap with segments of the second group, then pooling the first group and the second group; and a second module configured to control the processor to model and resegment any pooled groups and remaining groups of estimated segments to obtain stable segmentations. 17. A system of claim 1 , wherein the speech data is one of a telephone conversation between two or more speakers, an archived recorded broadcast news program and a recorded meeting between multiple speakers.
| 0.740096 |
14. A non-transitory computer-readable medium, comprising: a plurality of instructions which, when executed by one or more processors, cause the one or more processors to: receive a search query from a client device; identify documents as search results relevant to the search query, where each of the search results has a respective first score; rank the search results, based on the respective first scores, to form a ranked list of search results, where each of the search results has a respective position, within the ranked list, that is based on the ranking; determine a selection rate corresponding to each of the positions in the ranked list, a particular selection rate, corresponding to a particular position, being determined based on selections from the particular position, and the selection rate for one of the positions in the ranked list, being determined based on: selectively: obtaining information regarding an actual selection rate, corresponding to the one of the positions, from observed selections, or estimating a selection rate corresponding to the one of the positions, and using the actual selection rate or the estimated selection rate as the selection rate for the one of the positions; identify categories with which the search results are associated; generate second scores for the categories based on the selection rates, where the second score, for a particular one of the categories, is based on the selection rate corresponding to the position, in the ranked list, of one or more of the search results that are associated with the particular one of the categories, the second score, for one of the categories, being generated based on a combination of a plurality of selection rates corresponding to positions, in the ranked list, of a set of the search results that are associated with the one of the categories; select a plurality of the categories based on the second scores of the categories; select a plurality of the search results for the selected plurality of categories; generate a search result document that includes information regarding the selected plurality of categories and information regarding the selected plurality of search results; and provide the search result document for display on the client device.
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14. A non-transitory computer-readable medium, comprising: a plurality of instructions which, when executed by one or more processors, cause the one or more processors to: receive a search query from a client device; identify documents as search results relevant to the search query, where each of the search results has a respective first score; rank the search results, based on the respective first scores, to form a ranked list of search results, where each of the search results has a respective position, within the ranked list, that is based on the ranking; determine a selection rate corresponding to each of the positions in the ranked list, a particular selection rate, corresponding to a particular position, being determined based on selections from the particular position, and the selection rate for one of the positions in the ranked list, being determined based on: selectively: obtaining information regarding an actual selection rate, corresponding to the one of the positions, from observed selections, or estimating a selection rate corresponding to the one of the positions, and using the actual selection rate or the estimated selection rate as the selection rate for the one of the positions; identify categories with which the search results are associated; generate second scores for the categories based on the selection rates, where the second score, for a particular one of the categories, is based on the selection rate corresponding to the position, in the ranked list, of one or more of the search results that are associated with the particular one of the categories, the second score, for one of the categories, being generated based on a combination of a plurality of selection rates corresponding to positions, in the ranked list, of a set of the search results that are associated with the one of the categories; select a plurality of the categories based on the second scores of the categories; select a plurality of the search results for the selected plurality of categories; generate a search result document that includes information regarding the selected plurality of categories and information regarding the selected plurality of search results; and provide the search result document for display on the client device. 19. The non-transitory computer-readable medium of claim 14 , where one or more instructions, of the plurality of instructions, to generate the search result document cause the one or more processors to: organize the selected plurality of search results based on the selected plurality of categories, where a first one of the selected plurality of search results is presented adjacent to a second one of the selected plurality of search results, where the first one of the selected plurality of search results and the second one of the selected plurality of search results are both associated with a same one of the selected plurality of categories.
| 0.598417 |
12. The method according to claim 1, further comprising the step of editing the most likely message when, in response to the step of confirming, a message non-confirmation is received from the caller.
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12. The method according to claim 1, further comprising the step of editing the most likely message when, in response to the step of confirming, a message non-confirmation is received from the caller. 13. The method according to claim 12, wherein the step of editing the most likely message further comprises the step of: presenting a next likely message.
| 0.96402 |
16. The non-transitory computer-readable storage medium of claim 14 , wherein the concurrency bug comprises a data race, and wherein the trace property comprises a conflicting operation pair of events from different threads being executed in succession.
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16. The non-transitory computer-readable storage medium of claim 14 , wherein the concurrency bug comprises a data race, and wherein the trace property comprises a conflicting operation pair of events from different threads being executed in succession. 17. The non-transitory computer-readable storage medium of claim 16 , wherein the formula encodes all feasible traces corresponding to each respective of a plurality of data races.
| 0.944299 |
9. A non-transitory computer-readable medium including a set of instructions which, when executed by a processor, performs a method of handling messages in a messaging system that includes a message gateway and individual message boxes for users of the system, wherein a message addressed to a user is delivered to the user's message box after passing through the message gateway, the method comprising: knowingly biasing a global, scoring e-mail classifier relative to a personal, scoring e-mail classifier such that the global, scoring e-mail classifier is less stringent than the personal, scoring e-mail classifier as to what is classified as spam, wherein the global, scoring e-mail classifier and the personal, scoring e-mail classifier are probabilistic e-mail classifiers such that, to classify a message, the global, scoring e-mail classifier and the personal, scoring e-mail classifier use respective internal models to determine a probability measure for the message and compare the probability measure to a classification threshold; receiving messages at the message gateway; inputting the received messages into the global, scoring e-mail classifier to classify the input messages as spam or non-spam; handling at least one of the messages input into the global, scoring e-mail classifier based on whether the global, scoring e-mail classifier classified the at least one message as spam or non-spam; outputting at least one message from the global, scoring e-mail classifier, wherein the outputted message has been classified as non-spam by the global, scoring e-mail classifier; inputting the outputted message from the global, scoring e-mail classifier into the personal, scoring e-mail classifier to classify the at least one outputted message as spam or non-spam; handling the at least one outputted message input into the personal, scoring e-mail classifier based on whether the personal, scoring e-mail classifier classified the at least one outputted message as spam or non-spam; receiving an indication from a user to change the classification of the at least one outputted message; in response to the indication, changing the classification of the at least one outputted message; generating retraining data based on the change to the classification of the at least one outputted message; and retraining the personal, scoring e-mail classifier based on the generated retraining data such that the personal, scoring e-mail classifier's internal model is refined to track the user's subjective perceptions as to what messages constitute spam messages.
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9. A non-transitory computer-readable medium including a set of instructions which, when executed by a processor, performs a method of handling messages in a messaging system that includes a message gateway and individual message boxes for users of the system, wherein a message addressed to a user is delivered to the user's message box after passing through the message gateway, the method comprising: knowingly biasing a global, scoring e-mail classifier relative to a personal, scoring e-mail classifier such that the global, scoring e-mail classifier is less stringent than the personal, scoring e-mail classifier as to what is classified as spam, wherein the global, scoring e-mail classifier and the personal, scoring e-mail classifier are probabilistic e-mail classifiers such that, to classify a message, the global, scoring e-mail classifier and the personal, scoring e-mail classifier use respective internal models to determine a probability measure for the message and compare the probability measure to a classification threshold; receiving messages at the message gateway; inputting the received messages into the global, scoring e-mail classifier to classify the input messages as spam or non-spam; handling at least one of the messages input into the global, scoring e-mail classifier based on whether the global, scoring e-mail classifier classified the at least one message as spam or non-spam; outputting at least one message from the global, scoring e-mail classifier, wherein the outputted message has been classified as non-spam by the global, scoring e-mail classifier; inputting the outputted message from the global, scoring e-mail classifier into the personal, scoring e-mail classifier to classify the at least one outputted message as spam or non-spam; handling the at least one outputted message input into the personal, scoring e-mail classifier based on whether the personal, scoring e-mail classifier classified the at least one outputted message as spam or non-spam; receiving an indication from a user to change the classification of the at least one outputted message; in response to the indication, changing the classification of the at least one outputted message; generating retraining data based on the change to the classification of the at least one outputted message; and retraining the personal, scoring e-mail classifier based on the generated retraining data such that the personal, scoring e-mail classifier's internal model is refined to track the user's subjective perceptions as to what messages constitute spam messages. 15. The non-transitory computer-readable medium according to claim 9 , wherein the global, scoring e-mail classifier is configured such that classifying messages as spam or non-spam comprises classifying messages into subcategories of spam or non-spam.
| 0.515424 |
7. The system of claim 6 , wherein said processor is further operative to: compute a value for a matrix entry in an n-th row and an i-th column of the matrix by taking a minimum of those values which are entered in the entries defined by the row preceding the n-th row and the columns preceding the i-th column.
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7. The system of claim 6 , wherein said processor is further operative to: compute a value for a matrix entry in an n-th row and an i-th column of the matrix by taking a minimum of those values which are entered in the entries defined by the row preceding the n-th row and the columns preceding the i-th column. 8. The system of claim 7 , wherein said processor is further operative to: find a global optimal cost of the parse as a minimum of the values entered in the entries of a last column of the matrix.
| 0.911226 |
4. The system of claim 1 , wherein the request is initiated by a user on the remote computer hovering or clicking a cursor on a section of the second version of the document.
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4. The system of claim 1 , wherein the request is initiated by a user on the remote computer hovering or clicking a cursor on a section of the second version of the document. 5. The system of claim 4 , wherein the display window displays redline data indicating one or more redline changes between different versions of the section of the second version of the document.
| 0.925019 |
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.
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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. 39. The method of claim 1 further comprising deriving the training needs model estimate, at least in part, using at least one of data mining, a statistical data analysis technique, or a combination thereof.
| 0.633581 |
12. A system, comprising: a data store storing a set of general search queries that were submitted through a map interface, the general search queries being search queries that do not include a location phrase specifying a geographic location; one or more data processing apparatuses that interact with the data store and perform operations comprising: identifying, for one of the general search queries, a map query rate based on a ratio of a number of times that the general search query was received through an online map interface presenting the geographic location relative to a total number of times that the general search query was received; determining that the general search query is a locally significant query for the geographic location based, at least in part, on the map query rate for the general search query exceeding a threshold value; creating a local search query using the general search query and a location phrase representing the geographic location; identifying a set of general search results responsive to the general search query and a set of local search results responsive to the local search query; selecting, from the set of general search results and the set of local search results, a final set of search results including at least one local search result from the set of local search results and at least one general search result from the set of general search results; and providing data that cause presentation of the final set of search results.
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12. A system, comprising: a data store storing a set of general search queries that were submitted through a map interface, the general search queries being search queries that do not include a location phrase specifying a geographic location; one or more data processing apparatuses that interact with the data store and perform operations comprising: identifying, for one of the general search queries, a map query rate based on a ratio of a number of times that the general search query was received through an online map interface presenting the geographic location relative to a total number of times that the general search query was received; determining that the general search query is a locally significant query for the geographic location based, at least in part, on the map query rate for the general search query exceeding a threshold value; creating a local search query using the general search query and a location phrase representing the geographic location; identifying a set of general search results responsive to the general search query and a set of local search results responsive to the local search query; selecting, from the set of general search results and the set of local search results, a final set of search results including at least one local search result from the set of local search results and at least one general search result from the set of general search results; and providing data that cause presentation of the final set of search results. 15. The system of claim 12 , wherein selecting a final set of search results comprises selecting for inclusion in the final set of search results, local search results that have at least a minimum threshold click-through-rate.
| 0.638743 |
5. A computer-implemented method for extracting and integrating information from one or more sources, comprising: obtaining a domain model comprising a set of entity types having corresponding properties and relationships between entities in a set of entities, wherein the domain model is characterized by a domain grammar; receiving a first tag layout of a first source document obtained from a first information source associated with the domain model, the first tag layout comprising: (i) a plurality of user-provided navigational tags, wherein a user-provided navigational tag in the plurality of a user-provided navigational tags indicates a navigational position of the first source document relative to a second source document, from the first information source, navigationally connected with the first source document, and (ii) a plurality of corresponding user-identified tokens in the first source document, wherein a user-identified token in the plurality of corresponding user-identified tokens includes a portion of content of the first source document; selecting a page grammar in plurality of page grammars for the first source document in accordance with the plurality of user provided navigational tags; extracting information from a third of source document having a predefined degree of tag layout similarity to the first source document using the page grammar, wherein the second source document is obtained from a second information source; and transforming the information extracted from the second source document in accordance with the domain grammar, thereby extracting and integrating information from a plurality of information sources.
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5. A computer-implemented method for extracting and integrating information from one or more sources, comprising: obtaining a domain model comprising a set of entity types having corresponding properties and relationships between entities in a set of entities, wherein the domain model is characterized by a domain grammar; receiving a first tag layout of a first source document obtained from a first information source associated with the domain model, the first tag layout comprising: (i) a plurality of user-provided navigational tags, wherein a user-provided navigational tag in the plurality of a user-provided navigational tags indicates a navigational position of the first source document relative to a second source document, from the first information source, navigationally connected with the first source document, and (ii) a plurality of corresponding user-identified tokens in the first source document, wherein a user-identified token in the plurality of corresponding user-identified tokens includes a portion of content of the first source document; selecting a page grammar in plurality of page grammars for the first source document in accordance with the plurality of user provided navigational tags; extracting information from a third of source document having a predefined degree of tag layout similarity to the first source document using the page grammar, wherein the second source document is obtained from a second information source; and transforming the information extracted from the second source document in accordance with the domain grammar, thereby extracting and integrating information from a plurality of information sources. 20. The computer-implemented method of claim 5 , wherein the instructions to select the page grammar for the first set of source documents comprises heuristically identifying a first sequence of grammar transformations {(G→G′) 1 , . . . ,(G→G′) n } that transforms the domain grammar to the page grammar.
| 0.541372 |
4. The method of claim 1 wherein the generating comprises: determining formatting information for the block of text, wherein the formatting information includes a font-type for rendering the alpha-numeric characters onto the source image.
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4. The method of claim 1 wherein the generating comprises: determining formatting information for the block of text, wherein the formatting information includes a font-type for rendering the alpha-numeric characters onto the source image. 5. The method of claim 4 wherein the compositing comprises: compositing each of the text bitmaps onto the image bitmap of the source image based on the formatting information, wherein the composited image bitmap comprises a rendering of the block of text in the font-type onto the source image.
| 0.896491 |
10. A client machine system comprising: at least one processor and executable instructions accessible on a computer-readable medium that, when executed, cause the at least one processor to perform operations comprising: sending a connection request, from a seller application, to a network-based transaction facility, the seller application being customizable and being customized by receiving configuration information from the network-based transaction facility, the configuration information including a hierarchal product category structure for generating a listing for a product for sale; receiving, by the seller application, a current version of the configuration information from the network-based transaction facility; sending, by the seller application, configuration confirmation to the network-based transaction facility, the configuration confirmation indicating the seller application is configured using the current version of the configuration information including the hierarchal product category structure; and sending a request for a transaction listing, the transaction listing being generated based on the current version of the configuration information.
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10. A client machine system comprising: at least one processor and executable instructions accessible on a computer-readable medium that, when executed, cause the at least one processor to perform operations comprising: sending a connection request, from a seller application, to a network-based transaction facility, the seller application being customizable and being customized by receiving configuration information from the network-based transaction facility, the configuration information including a hierarchal product category structure for generating a listing for a product for sale; receiving, by the seller application, a current version of the configuration information from the network-based transaction facility; sending, by the seller application, configuration confirmation to the network-based transaction facility, the configuration confirmation indicating the seller application is configured using the current version of the configuration information including the hierarchal product category structure; and sending a request for a transaction listing, the transaction listing being generated based on the current version of the configuration information. 12. The system of claim 10 , wherein: the receiving the configuration information includes receiving the hierarchal product category structure, the configuration information being configured to enable a user of the seller application to categorize user-composed information to be communicated from the seller application to the network-based transaction facility.
| 0.5 |
3. The computer program product of claim 1 , wherein the data check word generation field is a Data Check Word Seed field, and generating the at least one ACW includes inserting an initial value into the Data Check Word Seed field that is used to generate the at least one generated data check word corresponding to the data transfer request.
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3. The computer program product of claim 1 , wherein the data check word generation field is a Data Check Word Seed field, and generating the at least one ACW includes inserting an initial value into the Data Check Word Seed field that is used to generate the at least one generated data check word corresponding to the data transfer request. 4. The computer program product of claim 3 , Wherein the I/O operation is a transport mode operation, and obtaining information includes obtaining a transport command word (TCW) at the channel subsystem, the TCW including a transport command control block (TCCB) address field including an address of a TCCB, the TCCB including a plurality of device command words (DCW) that each includes an I/O command.
| 0.921694 |
1. A method for generating a just-in-time reputation score, the method comprising: receiving a user generated content item from a user; calculating an initial content score for the user generated content item, wherein the initial content score is an average of a score for each of a plurality of prior user generated content items received from the user; retrieving one or more content submission rules based on at least one of: historical trends in a plurality of prior generated content items received from a plurality of members of a community or rules defined by the community; analyzing said user generated content item against said one or more content submission rules; determining a just-in-time reputation score of the user generated content item based on the initial content score adjusted accordingly to said analysis; displaying said just-in-time reputation score, said user generated content item to the user, and a message informing the user that said user generated content item violates the one or more rules; and receiving a modified user generated content item modified in response to displaying said just-in-time reputation score, said user generated content item, and the message informing the user that said user generated content item violates the one or more rules.
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1. A method for generating a just-in-time reputation score, the method comprising: receiving a user generated content item from a user; calculating an initial content score for the user generated content item, wherein the initial content score is an average of a score for each of a plurality of prior user generated content items received from the user; retrieving one or more content submission rules based on at least one of: historical trends in a plurality of prior generated content items received from a plurality of members of a community or rules defined by the community; analyzing said user generated content item against said one or more content submission rules; determining a just-in-time reputation score of the user generated content item based on the initial content score adjusted accordingly to said analysis; displaying said just-in-time reputation score, said user generated content item to the user, and a message informing the user that said user generated content item violates the one or more rules; and receiving a modified user generated content item modified in response to displaying said just-in-time reputation score, said user generated content item, and the message informing the user that said user generated content item violates the one or more rules. 9. The method of claim 1 further comprising storing an ID associated with the one or more rules upon determining that the one or more rules are violated.
| 0.573864 |
2. An apparatus according to claim 1, wherein said tablet comprises: a pressure-sensitive tablet mechanism consisting of a pair of transparent films; a coordinate detector for detecting a coordinate position corresponding to a pressed position of said pressure-sensitive tablet mechanism; a flat display integrally stacked on a lower portion of said pressure-sensitive tablet mechanism; and a display control means for controlling a data display of said flat display.
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2. An apparatus according to claim 1, wherein said tablet comprises: a pressure-sensitive tablet mechanism consisting of a pair of transparent films; a coordinate detector for detecting a coordinate position corresponding to a pressed position of said pressure-sensitive tablet mechanism; a flat display integrally stacked on a lower portion of said pressure-sensitive tablet mechanism; and a display control means for controlling a data display of said flat display. 3. An apparatus according to claim 2, wherein said flat display has the same coordinate system as that of said pressure-sensitive tablet mechanism, and said display control means displays, on said flat display, a character data input area on said pressure-sensitive tablet mechanism for the handwritten character data input through said pressure-sensitive tablet mechanism and a handwritten-character data pattern input through said pressure-sensitive tablet mechanism.
| 0.732903 |
1. A system for taxonomically distinguishing grouped segments of signals captured in unconstrained manner by a transducer for a plurality of sources, the system comprising: (a) a vector construction unit constructing at least one vector of predetermined form for each of the grouped signal segments; (b) a training unit coupled to said vector construction unit, said training unit including: a decomposition portion executing an adaptive sparse transformation upon a joint corpus of vectors for a plurality of signal segments of distinct sources, said decomposition portion generating for each said vector in said joint corpus at least one adaptive decomposition defined on a sparse transformation plane as a coefficient weighted sum of a representative set of decomposition atoms, and, a discriminant reduction portion coupled to said decomposition portion, said discriminant reduction portion being executable to mutually associate decomposition atoms of the representative set in m-wise manner for determining a cooperative strength thereof in distinguishing one distinct source from another, within a multi-dimensional plane, and thereby derive from said representative set at least one optimal combination of atoms for cooperatively distinguishing signals attributable to different ones of the distinct sources, wherein m is greater than or equal to 2; and, (c) a classification unit coupled to said vector construction unit, said classification unit including: a projection portion projecting a spectral vector of an input signal segment onto said sparse transformation plane to generate an adaptive decomposition therefor as a coefficient weighted sum of said representative set of decomposition atoms, and, a classification decision portion coupled to said projection portion, said classification decision portion being executable to discover for said adaptive decomposition of said input signal segment a degree of similarity relative to each of the distinct sources according to the optimal combination, and to thereby determine one of the distinct sources to have generated the input signal segment according to the degree of similarity.
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1. A system for taxonomically distinguishing grouped segments of signals captured in unconstrained manner by a transducer for a plurality of sources, the system comprising: (a) a vector construction unit constructing at least one vector of predetermined form for each of the grouped signal segments; (b) a training unit coupled to said vector construction unit, said training unit including: a decomposition portion executing an adaptive sparse transformation upon a joint corpus of vectors for a plurality of signal segments of distinct sources, said decomposition portion generating for each said vector in said joint corpus at least one adaptive decomposition defined on a sparse transformation plane as a coefficient weighted sum of a representative set of decomposition atoms, and, a discriminant reduction portion coupled to said decomposition portion, said discriminant reduction portion being executable to mutually associate decomposition atoms of the representative set in m-wise manner for determining a cooperative strength thereof in distinguishing one distinct source from another, within a multi-dimensional plane, and thereby derive from said representative set at least one optimal combination of atoms for cooperatively distinguishing signals attributable to different ones of the distinct sources, wherein m is greater than or equal to 2; and, (c) a classification unit coupled to said vector construction unit, said classification unit including: a projection portion projecting a spectral vector of an input signal segment onto said sparse transformation plane to generate an adaptive decomposition therefor as a coefficient weighted sum of said representative set of decomposition atoms, and, a classification decision portion coupled to said projection portion, said classification decision portion being executable to discover for said adaptive decomposition of said input signal segment a degree of similarity relative to each of the distinct sources according to the optimal combination, and to thereby determine one of the distinct sources to have generated the input signal segment according to the degree of similarity. 10. The system as recited in claim 1 , wherein at least one said signal segment is attributable to a known distinct source prior to the adaptive sparse transformation of the decomposition portion, said decomposition and discriminant reduction portions thereby executing to identify a distinct class corresponding to the known distinct source.
| 0.505403 |
1. A method of customizing a model entity presentation based on a presentation policy comprising: creating a plurality of first models according to a second model including elements with information defining a structure and hierarchical arrangement of elements for the first models; associating elements of the second model with a presentation policy model including presentation policies, wherein the presentation policies indicate display characteristics controlling a visual appearance for presented elements; applying the presentation policies to the elements of the first models to generate a corresponding presentation model for each of the first models based on the association between the elements of the second model and the presentation policy model, wherein the corresponding presentation models provide different customized display characteristics for the first models and corresponding model entities created from those first models, and wherein each presentation model associates each of one or more individual elements of a corresponding first model with one or more corresponding display characteristics controlling a visual appearance of a presented element; creating a model entity according to a first model, wherein the model entity includes actual data pertaining to an entity and the first model includes elements with information defining a structure and hierarchical arrangement of elements for the model entity; reading model content from said first model and reading presentation data from said corresponding presentation model; and applying the read model content and presentation data to said model entity to present elements of the model entity including the actual data with a visual appearance in accordance with the associated display characteristics of corresponding individual elements of the first model, wherein at least two elements of the model entity are presented with different display characteristics within a presentation.
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1. A method of customizing a model entity presentation based on a presentation policy comprising: creating a plurality of first models according to a second model including elements with information defining a structure and hierarchical arrangement of elements for the first models; associating elements of the second model with a presentation policy model including presentation policies, wherein the presentation policies indicate display characteristics controlling a visual appearance for presented elements; applying the presentation policies to the elements of the first models to generate a corresponding presentation model for each of the first models based on the association between the elements of the second model and the presentation policy model, wherein the corresponding presentation models provide different customized display characteristics for the first models and corresponding model entities created from those first models, and wherein each presentation model associates each of one or more individual elements of a corresponding first model with one or more corresponding display characteristics controlling a visual appearance of a presented element; creating a model entity according to a first model, wherein the model entity includes actual data pertaining to an entity and the first model includes elements with information defining a structure and hierarchical arrangement of elements for the model entity; reading model content from said first model and reading presentation data from said corresponding presentation model; and applying the read model content and presentation data to said model entity to present elements of the model entity including the actual data with a visual appearance in accordance with the associated display characteristics of corresponding individual elements of the first model, wherein at least two elements of the model entity are presented with different display characteristics within a presentation. 6. The method of claim 1 , wherein a presentation policy includes a model property expression and presentation form thereof indicating said display characteristics, said presentation form including at least one of a node icon, word background, word format, size, color, and the color, thickness and form of lines that connect nodes.
| 0.539046 |
16. A method for creating a linked list for executing a plurality of scripts on a device, the method comprising: receiving a set of nodes, each node comprising a portion of script defining functionality of the device; coupling the nodes in a nodal structure based on a desired order of execution of the portions of script; determining a first execution path through a first subset of nodes in the nodal structure based at least in part on one or more input values of defined input properties for one or more portions of script; compiling, by a processor, the first subset of nodes into a first linked list of operations for execution by the device, the first linked list following the first determined execution path through the first subset of nodes; receiving a new node comprising a new portion of script defining additional functionality of the device; coupling the new node to at least one other node in the nodal structure based on a desired location of execution of the new portion of script in the order of execution of the portions of script; determining a second execution path through a second subset of nodes in the nodal structure based at least in part on the one or more input values of defined input properties and the new portion of script, the second subset of nodes including the new node; and compiling, by a processor, the second subset of nodes into a second linked list of operations for execution by the device, the second linked list following the second determined execution path through the second subset of nodes.
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16. A method for creating a linked list for executing a plurality of scripts on a device, the method comprising: receiving a set of nodes, each node comprising a portion of script defining functionality of the device; coupling the nodes in a nodal structure based on a desired order of execution of the portions of script; determining a first execution path through a first subset of nodes in the nodal structure based at least in part on one or more input values of defined input properties for one or more portions of script; compiling, by a processor, the first subset of nodes into a first linked list of operations for execution by the device, the first linked list following the first determined execution path through the first subset of nodes; receiving a new node comprising a new portion of script defining additional functionality of the device; coupling the new node to at least one other node in the nodal structure based on a desired location of execution of the new portion of script in the order of execution of the portions of script; determining a second execution path through a second subset of nodes in the nodal structure based at least in part on the one or more input values of defined input properties and the new portion of script, the second subset of nodes including the new node; and compiling, by a processor, the second subset of nodes into a second linked list of operations for execution by the device, the second linked list following the second determined execution path through the second subset of nodes. 20. The method of claim 16 , wherein a portion of script defining functionality of the device sets at least one of: a pre-defined system keyword, a configuration variable, a status variable, and a session variable.
| 0.562931 |
1. A method for generating a tuple of structured data files comprising: detecting an expression that describes a structure of a structured image; using an inference-rule based search strategy to identify a hierarchical arrangement of bounding boxes in the structured image that match the expression; and generating a first tuple of structured data files based on the identified hierarchical arrangement of bounding boxes in the structured image.
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1. A method for generating a tuple of structured data files comprising: detecting an expression that describes a structure of a structured image; using an inference-rule based search strategy to identify a hierarchical arrangement of bounding boxes in the structured image that match the expression; and generating a first tuple of structured data files based on the identified hierarchical arrangement of bounding boxes in the structured image. 3. The method of claim 1 , wherein the inference-rule based search strategy comprises identifying the bounding boxes by detecting a contour within the structured image using image processing techniques.
| 0.776817 |
16. A system comprising: one or more processors; and a hardware memory storing computer-executable instructions that are executable by the one or more processors to perform operations comprising: receiving, from a remote device, a full-page postback including one or more edits to an electronic document stored at a network computing server, the one or more edits including postback name-value pairs, the postback name-value pairs indicating one or more requests to execute business logic associated with the electronic document that the remote device is incapable of executing; translating, at an intermediate server, the postback name-value pairs from the full-page postback into an event log; sending the event log to the network computing server to enable the network computing server to edit the electronic document by executing the business logic on the electronic document based at least in part on the event log; receiving at the intermediate server results of editing the electronic document by the network computing server; determining capabilities of the remote device, including one or more capabilities that indicate the remote device is a limited-capability computing device which is incapable, without external assistance, of rendering at least some view information of the electronic document; building, at the intermediary server, renderable view information for the electronic document based at least in part on the results of the editing and in response to said determining of the capabilities of the remote device, the renderable view information including a selectable indicia of an electronic form associated with a hierarchical view of one or more nested items, the one or more nested items including information from the postback name-value pairs; and sending, to the remote device, the renderable view information to enable rendering of the electronic document by the remote device; the remote device, the intermediate server, and the network computing server each being separate and remote from one another.
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16. A system comprising: one or more processors; and a hardware memory storing computer-executable instructions that are executable by the one or more processors to perform operations comprising: receiving, from a remote device, a full-page postback including one or more edits to an electronic document stored at a network computing server, the one or more edits including postback name-value pairs, the postback name-value pairs indicating one or more requests to execute business logic associated with the electronic document that the remote device is incapable of executing; translating, at an intermediate server, the postback name-value pairs from the full-page postback into an event log; sending the event log to the network computing server to enable the network computing server to edit the electronic document by executing the business logic on the electronic document based at least in part on the event log; receiving at the intermediate server results of editing the electronic document by the network computing server; determining capabilities of the remote device, including one or more capabilities that indicate the remote device is a limited-capability computing device which is incapable, without external assistance, of rendering at least some view information of the electronic document; building, at the intermediary server, renderable view information for the electronic document based at least in part on the results of the editing and in response to said determining of the capabilities of the remote device, the renderable view information including a selectable indicia of an electronic form associated with a hierarchical view of one or more nested items, the one or more nested items including information from the postback name-value pairs; and sending, to the remote device, the renderable view information to enable rendering of the electronic document by the remote device; the remote device, the intermediate server, and the network computing server each being separate and remote from one another. 18. The system of claim 16 , wherein the electronic document comprises an electronic form with at least one fillable field and wherein executing the business logic comprises performing one or more calculations on a value for the at least one fillable field.
| 0.522399 |
7. A method comprising: receiving information about a user of a social networking system, the information describing connections between users of the social networking system and actions taken by users on the social networking system; responsive to the received information, mapping the received information about the user to predictive factors in predictive models for income brackets in the social networking system; determining, by a computer processor, a correlation value for each income bracket for the user based on the predictive model corresponding to the income bracket; associating the user with at least one of the income brackets based on the determined correlation values; providing advertisements for display to the user based on the associated income brackets and determined correlation values; and modifying the predictive model of an income bracket to include or exclude additional predictive factors based on an analysis of conversion rates of advertisements provided to users based on the income bracket.
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7. A method comprising: receiving information about a user of a social networking system, the information describing connections between users of the social networking system and actions taken by users on the social networking system; responsive to the received information, mapping the received information about the user to predictive factors in predictive models for income brackets in the social networking system; determining, by a computer processor, a correlation value for each income bracket for the user based on the predictive model corresponding to the income bracket; associating the user with at least one of the income brackets based on the determined correlation values; providing advertisements for display to the user based on the associated income brackets and determined correlation values; and modifying the predictive model of an income bracket to include or exclude additional predictive factors based on an analysis of conversion rates of advertisements provided to users based on the income bracket. 10. The method of claim 7 , wherein the received information about the users of the social networking system includes, for each user, an analysis of posted content by the user indicates a higher-than-average income potential as compared to other analyses of posted content by other users in the social networking system.
| 0.58453 |
12. An apparatus for an autonomous machine to perform a task in an environment, the apparatus comprising: an input module receiving data collected by a distributed capture technique, said data comprising at least one class of knowledge associated with the task; and a processor module coupled to the input module and to a memory device; the memory device having computer program instructions embodied thereon to cause the processor module to implement a method for enabling the autonomous machine to perform the task in the environment, the method comprising the steps of: automatically processing said at least one class of knowledge associated with the task to produce one or more categories of class rules , wherein said processing comprises filtering and extracting the at least one class of knowledge, and wherein the class rules comprise specific relationships within the at least one class of knowledge, and formulating a set of meta-rules that extract information from two or more categories of class rules to orchestrate an application of said class rules within the environment, each meta-rule identifying information from two or more categories of class rules; responsive to a first category of class rules missing information associated with the task, applying a meta-rule to retrieve the missing details information associated with the task from a second category of class rules.
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12. An apparatus for an autonomous machine to perform a task in an environment, the apparatus comprising: an input module receiving data collected by a distributed capture technique, said data comprising at least one class of knowledge associated with the task; and a processor module coupled to the input module and to a memory device; the memory device having computer program instructions embodied thereon to cause the processor module to implement a method for enabling the autonomous machine to perform the task in the environment, the method comprising the steps of: automatically processing said at least one class of knowledge associated with the task to produce one or more categories of class rules , wherein said processing comprises filtering and extracting the at least one class of knowledge, and wherein the class rules comprise specific relationships within the at least one class of knowledge, and formulating a set of meta-rules that extract information from two or more categories of class rules to orchestrate an application of said class rules within the environment, each meta-rule identifying information from two or more categories of class rules; responsive to a first category of class rules missing information associated with the task, applying a meta-rule to retrieve the missing details information associated with the task from a second category of class rules. 15. The apparatus of claim 12 , wherein: said input module further receives at least one of a task command and a perceived situation within the environment; and said processor module further: applies said meta-rules to orchestrate said application of said class rules in response to said task command or said perceived situation, applies said meta-rules to generate a set of task steps for performing the task, and sequences said set of task steps to orchestrate an operation of the autonomous machine.
| 0.5 |
1. A computer-implemented method for determining an impact on a simulation model in creating a human resource allocation report in a modeling environment comprising a plurality of simulation models, said method including: acquiring, by a computer, performance data relating to said plurality of simulation models within a timeframe parameter and a presentation parameter, wherein said performance data includes dependency data and a simulation model score, wherein said plurality of simulation models simulate at least one of outcomes, effectiveness, penetration, utilization, or distribution of marketing strategies based upon at least one of historic, current or probability data of said marketing strategies; analyzing, by said computer, allocation data and said dependency data relating to said simulation model, having a model identifier; determining, by said computer, individual variables within a first subset of said plurality of simulation models impacted by said allocation data and dependency data, wherein said dependency data includes bidirectional pointers in a tree of said plurality of simulation models, said plurality of simulation models represented by nodes on said tree, and said dependency data provides interdependencies among said plurality of simulation models, wherein said variables are across said plurality of simulation models, wherein said dependency data depends upon and includes records having an identifier that is based upon said model identifier and that depend at least one of directly or indirectly from said simulation model, and wherein said allocation data and said dependency data relates to a transfer of information exchanged between said simulation model and at least one of said first subset of said plurality of simulation models or a second subset of said plurality of simulation models, wherein said information includes accuracy of said information, an amount of said information, a transfer rate of said information, and a processing rate of said information; analyzing, by said computer, said dependency data relating to said first subset of said plurality of simulation models; determining, by said computer, individual of said variables within said second subset of said plurality of simulation models impacted by said dependency data, wherein said second subset of said plurality of simulation models is dependent upon said first subset of said plurality of simulation models; propagating, by said computer, and based on said variables and said inter-dependencies, a change to a first variable to a plurality of variables among different branches across said plurality of simulation models, wherein said different branches are within at least one of said first subset of said plurality of variables or within said second subset of said plurality of variables; determining, by said computer, an impact on said first subset of said plurality of simulation models, and said second subset of said plurality of simulation models in response to said analysis of said allocation data and said dependency data; modifying, by said computer, said simulation model score based on said dependency data to create a modified simulation model score; and at least one of: modifying said simulation model or decommissioning said simulation model based on said modified simulation model score; and formatting, by said computer, said allocation data to transform said allocation data into said allocation report, according to said presentation parameter.
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1. A computer-implemented method for determining an impact on a simulation model in creating a human resource allocation report in a modeling environment comprising a plurality of simulation models, said method including: acquiring, by a computer, performance data relating to said plurality of simulation models within a timeframe parameter and a presentation parameter, wherein said performance data includes dependency data and a simulation model score, wherein said plurality of simulation models simulate at least one of outcomes, effectiveness, penetration, utilization, or distribution of marketing strategies based upon at least one of historic, current or probability data of said marketing strategies; analyzing, by said computer, allocation data and said dependency data relating to said simulation model, having a model identifier; determining, by said computer, individual variables within a first subset of said plurality of simulation models impacted by said allocation data and dependency data, wherein said dependency data includes bidirectional pointers in a tree of said plurality of simulation models, said plurality of simulation models represented by nodes on said tree, and said dependency data provides interdependencies among said plurality of simulation models, wherein said variables are across said plurality of simulation models, wherein said dependency data depends upon and includes records having an identifier that is based upon said model identifier and that depend at least one of directly or indirectly from said simulation model, and wherein said allocation data and said dependency data relates to a transfer of information exchanged between said simulation model and at least one of said first subset of said plurality of simulation models or a second subset of said plurality of simulation models, wherein said information includes accuracy of said information, an amount of said information, a transfer rate of said information, and a processing rate of said information; analyzing, by said computer, said dependency data relating to said first subset of said plurality of simulation models; determining, by said computer, individual of said variables within said second subset of said plurality of simulation models impacted by said dependency data, wherein said second subset of said plurality of simulation models is dependent upon said first subset of said plurality of simulation models; propagating, by said computer, and based on said variables and said inter-dependencies, a change to a first variable to a plurality of variables among different branches across said plurality of simulation models, wherein said different branches are within at least one of said first subset of said plurality of variables or within said second subset of said plurality of variables; determining, by said computer, an impact on said first subset of said plurality of simulation models, and said second subset of said plurality of simulation models in response to said analysis of said allocation data and said dependency data; modifying, by said computer, said simulation model score based on said dependency data to create a modified simulation model score; and at least one of: modifying said simulation model or decommissioning said simulation model based on said modified simulation model score; and formatting, by said computer, said allocation data to transform said allocation data into said allocation report, according to said presentation parameter. 8. The method of claim 1 , wherein said presentation parameter is a formatting preference comprising at least one of: table, graph, or timeframe.
| 0.537911 |
1. A method implemented on a computing device, the method comprising: receiving a query for visual content; obtaining an initial ranked list of results in response to the query, the initial ranked list corresponding to a first plurality of images; obtaining additional results in response to the query from one or more external sources, the additional results including a second plurality of images; extracting, by a processor of the computing device, features from the second plurality of images obtained from the one or more external sources to generate a plurality of visual words, wherein each visual word includes a plurality of similar feature patches extracted from the second plurality of images; determining recurring visual patterns based on the visual words and connections between the visual words; determining a visual word representation of each of the first plurality of images corresponding to the initial ranked list; reordering, by the processor, the initial ranked list based at least in part on a comparison of the determined recurring visual patterns with the visual word representations of the first plurality of images to generate a reranked list.
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1. A method implemented on a computing device, the method comprising: receiving a query for visual content; obtaining an initial ranked list of results in response to the query, the initial ranked list corresponding to a first plurality of images; obtaining additional results in response to the query from one or more external sources, the additional results including a second plurality of images; extracting, by a processor of the computing device, features from the second plurality of images obtained from the one or more external sources to generate a plurality of visual words, wherein each visual word includes a plurality of similar feature patches extracted from the second plurality of images; determining recurring visual patterns based on the visual words and connections between the visual words; determining a visual word representation of each of the first plurality of images corresponding to the initial ranked list; reordering, by the processor, the initial ranked list based at least in part on a comparison of the determined recurring visual patterns with the visual word representations of the first plurality of images to generate a reranked list. 2. The method according to claim 1 , wherein the determining recurring visual patterns based on the visual words and connections between the visual words further comprises determining a salient pattern based on a number of extracted patches contained in each visual word.
| 0.502292 |
1. A method of generating a voice user interface implemented by a computing device, the method comprising: providing a response container for governing voice response processing for the voice user interface; providing a plurality of nodes associated with the response container and defining acts to be performed; providing a plurality of response classes defining types of voice input responses related to the plurality of nodes associated with the response container; automatically generating a flow path for each of the plurality of response classes in the response container, each flow path spanning from a first node defining a first act to be performed to a second node defining a second act to be performed, wherein the generating the flow path for each of the plurality of response classes determines a callflow sequence of execution of acts of the plurality of nodes according to a response class associated with a voice input response; receiving meanings of different possible answers expected in response to the plurality of nodes; receiving sample inputs associated with each of the received meanings; automatically generating control files to extract a meaning and to determine a response class associated with a received voice response based on the received meanings of different possible answers and the received sample inputs; and automatically assigning a flow path to the received voice response based on an extracted meaning and a determined response class for establishing a callflow sequence in response to the received voice response.
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1. A method of generating a voice user interface implemented by a computing device, the method comprising: providing a response container for governing voice response processing for the voice user interface; providing a plurality of nodes associated with the response container and defining acts to be performed; providing a plurality of response classes defining types of voice input responses related to the plurality of nodes associated with the response container; automatically generating a flow path for each of the plurality of response classes in the response container, each flow path spanning from a first node defining a first act to be performed to a second node defining a second act to be performed, wherein the generating the flow path for each of the plurality of response classes determines a callflow sequence of execution of acts of the plurality of nodes according to a response class associated with a voice input response; receiving meanings of different possible answers expected in response to the plurality of nodes; receiving sample inputs associated with each of the received meanings; automatically generating control files to extract a meaning and to determine a response class associated with a received voice response based on the received meanings of different possible answers and the received sample inputs; and automatically assigning a flow path to the received voice response based on an extracted meaning and a determined response class for establishing a callflow sequence in response to the received voice response. 6. The method of claim 1 , wherein the providing a plurality of nodes comprises providing at least one prompt node prompting a spoken response to be provided.
| 0.533413 |
14. The method of claim 1 , further comprising the step of creating a group of users comprising at least the other user and the submitter user.
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14. The method of claim 1 , further comprising the step of creating a group of users comprising at least the other user and the submitter user. 23. The computer system of claim 14 , where: the processor further comprises software for allowing an interested user to upload audio associated with the news story.
| 0.949697 |
1. A method comprising: with one or more special purpose computing devices coupled to a memory: accessing a plurality of segmented portions of at least one of a plurality of displayable web pages represented by one or more digital signals of one or more files stored in a memory, wherein a particular displayable web page of the plurality of displayable web pages comprises at least two of the plurality of segmented portions; using one or more machine learned models for: identifying one or more feature properties of the plurality of segmented portions within the one or more files, or otherwise inferable from the one or more files, classifying the at least two of the plurality of segmented portions as being at least one of a plurality of segment types based, at least in part, on the one or more identified feature properties, the one or more identified feature properties comprising at least language feature properties of a language model of content to be displayed in one or more of the at least two of the plurality of segmented portions, and determining content quality scores for at least two of the plurality of segmented portions of at least the particular displayable web page; and storing one or more digital signals in the memory as part of an index for the plurality of segmented portions, the index being based, at least in part, on the segment type, the index indicating the content quality scores.
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1. A method comprising: with one or more special purpose computing devices coupled to a memory: accessing a plurality of segmented portions of at least one of a plurality of displayable web pages represented by one or more digital signals of one or more files stored in a memory, wherein a particular displayable web page of the plurality of displayable web pages comprises at least two of the plurality of segmented portions; using one or more machine learned models for: identifying one or more feature properties of the plurality of segmented portions within the one or more files, or otherwise inferable from the one or more files, classifying the at least two of the plurality of segmented portions as being at least one of a plurality of segment types based, at least in part, on the one or more identified feature properties, the one or more identified feature properties comprising at least language feature properties of a language model of content to be displayed in one or more of the at least two of the plurality of segmented portions, and determining content quality scores for at least two of the plurality of segmented portions of at least the particular displayable web page; and storing one or more digital signals in the memory as part of an index for the plurality of segmented portions, the index being based, at least in part, on the segment type, the index indicating the content quality scores. 6. The method as recited in claim 1 , further comprising: with the one or more special purpose computing devices, training at least one of the one or more machine learned models based, at least in part, on editorial input for a sample set of segmented portions.
| 0.635377 |
11. A method for assisting instructors with interactions with students, which comprises: receiving, at a network server, a communication posted by a student; receiving, at a network server, a communication written by an instructor; identifying, at a network server, keywords in text of the student communication and instructor communication associated with a personality type to predict a likelihood of a student outcome with the instructor; monitoring, at a network server, the electronic communication between the instructor and the student to measure instructor performance; applying, at a network server, a scoring algorithm to the measured instructor performance and to the analyzed text of the instructor communication to detect keywords and phrases associated with teaching the student; generating, at a network server, a score for the instructor communication from the application of the scoring algorithm and from comparison of the detected keywords and phrases with a plurality of keywords and phrases stored in a library; creating, at a network server, an evaluation report that provides guidance to the instructor to facilitate a responsive communication with the student based on the score for the instructor communication, and providing the responsive communication to the student on a student device using a modality for the responsive communication based on the predicted likelihood of the student outcome.
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11. A method for assisting instructors with interactions with students, which comprises: receiving, at a network server, a communication posted by a student; receiving, at a network server, a communication written by an instructor; identifying, at a network server, keywords in text of the student communication and instructor communication associated with a personality type to predict a likelihood of a student outcome with the instructor; monitoring, at a network server, the electronic communication between the instructor and the student to measure instructor performance; applying, at a network server, a scoring algorithm to the measured instructor performance and to the analyzed text of the instructor communication to detect keywords and phrases associated with teaching the student; generating, at a network server, a score for the instructor communication from the application of the scoring algorithm and from comparison of the detected keywords and phrases with a plurality of keywords and phrases stored in a library; creating, at a network server, an evaluation report that provides guidance to the instructor to facilitate a responsive communication with the student based on the score for the instructor communication, and providing the responsive communication to the student on a student device using a modality for the responsive communication based on the predicted likelihood of the student outcome. 12. The method of claim 11 , wherein the student outcomes comprise passing or failing a course, remaining or dropping out of a course, or a combination thereof.
| 0.611111 |
12. A computer system for storing, retrieving and displaying information, the computer system being operable on at least one computer having a software operating system, the computer system comprising: a first-tier, multiplexing program module running on a first computer for receiving a new document originating from an information source and for calculating a new document vector for the new document, and for transmitting said new document vector to at least one second-tier program module; and a second-tier program module running on a second computer; wherein the second-tier program module transmits the document vector to a plurality of third-tier program modules operating on the second computer in the computer system; the third-tier program modules each storing a composite vector representing the similarity of a respective plurality of documents stored in the second computer under the control of the respective third-tier program module; and the third-tier program modules each receiving the document vector for the new document and comparing the document vector to a respective composite vector to determine similarity of the new document to the plurality of documents stored in the second computer under control of the third-tier program module; the third-tier program module each returning a similarity value to the second-tier module resulting from comparison of the new document vector to a respective composite vector, the second-tier module returning a best match similarity value to the first-tier, multiplexing program module representing a greatest measure of similarity of the new document to a respective plurality of documents stored under control of a respective third-tier program module to determine routing of the document to a selected second-tier program module from among a plurality of second-tier program modules.
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12. A computer system for storing, retrieving and displaying information, the computer system being operable on at least one computer having a software operating system, the computer system comprising: a first-tier, multiplexing program module running on a first computer for receiving a new document originating from an information source and for calculating a new document vector for the new document, and for transmitting said new document vector to at least one second-tier program module; and a second-tier program module running on a second computer; wherein the second-tier program module transmits the document vector to a plurality of third-tier program modules operating on the second computer in the computer system; the third-tier program modules each storing a composite vector representing the similarity of a respective plurality of documents stored in the second computer under the control of the respective third-tier program module; and the third-tier program modules each receiving the document vector for the new document and comparing the document vector to a respective composite vector to determine similarity of the new document to the plurality of documents stored in the second computer under control of the third-tier program module; the third-tier program module each returning a similarity value to the second-tier module resulting from comparison of the new document vector to a respective composite vector, the second-tier module returning a best match similarity value to the first-tier, multiplexing program module representing a greatest measure of similarity of the new document to a respective plurality of documents stored under control of a respective third-tier program module to determine routing of the document to a selected second-tier program module from among a plurality of second-tier program modules. 24. The computer system of claim 12 , wherein said new document vector is based on words in the new document, frequency of the words in the new document, and statistical computations concerning word frequency.
| 0.643711 |
25. A computer-implemented method to process a data search request, the method including: receiving, via an interface of a computer system, the data search request, the data search request including a plurality of constraints corresponding to a query; performing a search of a data source based on the data search request to find and count a number of data items; formulating, within the computer system, a plurality of search definitions, responsive to identifying the number of data items exceeding a predetermined threshold minimum number of data items, each search definition of a subset of the plurality of constraints being formulated to exclude at least one constraint; performing a plurality of searches of the data source for each of the plurality of search definitions to generate a plurality of search results corresponding to each search definition; and utilizing the plurality of search results, calculating, within the computer system, a corresponding data item count for each search definition; and communicating, via the interface of the computer system, the count of data items for the each search definition, the plurality of search definitions, and the number of data items corresponding to the data search request to a client machine for simultaneous display.
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25. A computer-implemented method to process a data search request, the method including: receiving, via an interface of a computer system, the data search request, the data search request including a plurality of constraints corresponding to a query; performing a search of a data source based on the data search request to find and count a number of data items; formulating, within the computer system, a plurality of search definitions, responsive to identifying the number of data items exceeding a predetermined threshold minimum number of data items, each search definition of a subset of the plurality of constraints being formulated to exclude at least one constraint; performing a plurality of searches of the data source for each of the plurality of search definitions to generate a plurality of search results corresponding to each search definition; and utilizing the plurality of search results, calculating, within the computer system, a corresponding data item count for each search definition; and communicating, via the interface of the computer system, the count of data items for the each search definition, the plurality of search definitions, and the number of data items corresponding to the data search request to a client machine for simultaneous display. 40. The computer-implemented method of claim 25 , including identifying predetermined sets of constraints included within the search request as an atomic constraint, and formulating the plurality of search definitions utilizing the atomic constraint to identify data items.
| 0.594876 |
38. The automated translation machine of claim 37 , wherein said means for generating the translingual parsing model comprises: means for receiving, at a parser training module, a destination language treebank having parse trees of a plurality of destination language sentences, the parse trees of said destination language sentences having nodes labeled with the syntactic labels; means for generating, using the destination language treebank, a destination language parsing model, including parameters for ranking candidate parse trees for a destination language sentence; means for receiving, at the parsing module, a second plurality of destination language sentences from a parallel corpus, the parallel corpus including the second plurality of destination language sentences and their respective source language equivalents; means for applying the destination language parsing model to the second plurality of destination language sentences to generate a ranked list of candidate parse trees for each sentence of the second plurality of destination language sentences; means for transforming the candidate parse trees by applying, with a tree transformer, a rule set associated with linguistic characteristics of the source and destination languages; means for assigning, with a role labeler, a linguistic role label to nodes of the candidate parse trees, the role label corresponding to the linguistic role of a node within its respective parse tree; means for extracting grammar constraints from portions of each candidate parse tree; and means for estimating the translingual parsing model using the extracted grammar constraints and source language sentences of the parallel corpus, the translingual parsing model including parameters sufficient to rank candidate parses, wherein the parameters relate elements of the candidate parses including source language words, destination language words, syntactic labels, and role labels.
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38. The automated translation machine of claim 37 , wherein said means for generating the translingual parsing model comprises: means for receiving, at a parser training module, a destination language treebank having parse trees of a plurality of destination language sentences, the parse trees of said destination language sentences having nodes labeled with the syntactic labels; means for generating, using the destination language treebank, a destination language parsing model, including parameters for ranking candidate parse trees for a destination language sentence; means for receiving, at the parsing module, a second plurality of destination language sentences from a parallel corpus, the parallel corpus including the second plurality of destination language sentences and their respective source language equivalents; means for applying the destination language parsing model to the second plurality of destination language sentences to generate a ranked list of candidate parse trees for each sentence of the second plurality of destination language sentences; means for transforming the candidate parse trees by applying, with a tree transformer, a rule set associated with linguistic characteristics of the source and destination languages; means for assigning, with a role labeler, a linguistic role label to nodes of the candidate parse trees, the role label corresponding to the linguistic role of a node within its respective parse tree; means for extracting grammar constraints from portions of each candidate parse tree; and means for estimating the translingual parsing model using the extracted grammar constraints and source language sentences of the parallel corpus, the translingual parsing model including parameters sufficient to rank candidate parses, wherein the parameters relate elements of the candidate parses including source language words, destination language words, syntactic labels, and role labels. 40. The method of claim 38 , wherein said linguistic characteristics include phrase structure of the source and destination languages.
| 0.529398 |
1. A method for validating an XML document, comprising: parsing at least one XML document to be validated and representing XML data in the at least one XML document as data objects in at least one data object model in a memory; parsing at least one rule document and creating a rule object model comprising rule objects in the memory; extracting part of the data objects from the at least one data object model and extracting part of the rule objects from the rule object model; searching an execution context for at least one rule object of the extracted part of the rule objects from a context registry; performing validation for the at least one rule object in the execution context; and performing a partial validation in a corresponding execution context comprising validating the extracted part of the data objects based upon the extracted part of the rule objects.
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1. A method for validating an XML document, comprising: parsing at least one XML document to be validated and representing XML data in the at least one XML document as data objects in at least one data object model in a memory; parsing at least one rule document and creating a rule object model comprising rule objects in the memory; extracting part of the data objects from the at least one data object model and extracting part of the rule objects from the rule object model; searching an execution context for at least one rule object of the extracted part of the rule objects from a context registry; performing validation for the at least one rule object in the execution context; and performing a partial validation in a corresponding execution context comprising validating the extracted part of the data objects based upon the extracted part of the rule objects. 9. The method according to claim 1 , where each element in the at least one XML document is mapped to a data object in the at least one data object model and the data objects maintain a hierarchical relationship corresponding to elements in the at least one XML document to be validated.
| 0.578449 |
19. The system of claim 17 , wherein calculating semantic similarities between the content items comprises calculating cosine similarities between topic vectors of the content items, the topic vectors of the content items each including a list of topics, each topic including a semantic descriptor of one or more of the content items.
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19. The system of claim 17 , wherein calculating semantic similarities between the content items comprises calculating cosine similarities between topic vectors of the content items, the topic vectors of the content items each including a list of topics, each topic including a semantic descriptor of one or more of the content items. 20. The system of claim 19 , where calculating semantic similarities between the content items comprises calculating semantic similarities between segments, including calculating cosine similarities between the topic vectors of the respective segments, where the topic vector of each of the segments is calculated using an average of topic vectors of content items associated with user actions clustered into the segment.
| 0.824188 |
1. A computer executable method for displaying elements of an information array within a predetermined two dimensional display space, wherein the predetermined two dimensional display space is divided into cells formed at intersections of columns and rows, the elements of the information array have corresponding cells for display, and at least two of said elements include text, said method comprising the steps of: (a) determining display space requirement (DSR) for displaying the elements; (b) moderating the DSR value of at least one element to determine its moderated display space requirement (ModDSR) value, wherein said moderating step comprises: (i) selecting an element whose DSR value is larger than the DSR value of at least one element in the column or row to which said element corresponds; and (ii) reducing the DSR value of the selected element such that the amount of reduction depends on the difference between the DSR value of said element and a value representative of the DSR values of the elements corresponding to the column or row to which said element corresponds; (c) allocating column widths and row heights, based on the ModDSR values or on values obtained by using the ModDSR values, such that the total width of all the columns and the total height of all the rows do not exceed the width and height, respectively, of the predetermined two dimensional display space; and (d) displaying the elements in the space allocated to the corresponding cells.
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1. A computer executable method for displaying elements of an information array within a predetermined two dimensional display space, wherein the predetermined two dimensional display space is divided into cells formed at intersections of columns and rows, the elements of the information array have corresponding cells for display, and at least two of said elements include text, said method comprising the steps of: (a) determining display space requirement (DSR) for displaying the elements; (b) moderating the DSR value of at least one element to determine its moderated display space requirement (ModDSR) value, wherein said moderating step comprises: (i) selecting an element whose DSR value is larger than the DSR value of at least one element in the column or row to which said element corresponds; and (ii) reducing the DSR value of the selected element such that the amount of reduction depends on the difference between the DSR value of said element and a value representative of the DSR values of the elements corresponding to the column or row to which said element corresponds; (c) allocating column widths and row heights, based on the ModDSR values or on values obtained by using the ModDSR values, such that the total width of all the columns and the total height of all the rows do not exceed the width and height, respectively, of the predetermined two dimensional display space; and (d) displaying the elements in the space allocated to the corresponding cells. 15. The method of claim 1 wherein at least one cell is a joined cell formed by joining contiguous cells in a column or in a row.
| 0.646 |
11. A system comprising: one or more computers and one or more non-transitory computer storage media storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a first search query; obtaining search results referencing a plurality of documents that a search engine has identified as being responsive to the first search query; computing a respective count of occurrences of each of a plurality of search queries for which a first document, of the plurality of documents, was identified as being responsive; designating, as entity text strings for the first document, one or more search queries having a count that satisfies a threshold; generating a refined search query having one or more terms from the one or more entity text strings for the first document, including combining (i) one or more terms of the one or more entity text strings for the first document with (ii) one or more terms of the first search query; and providing the refined search query having the one or more terms from the one or more entity text strings for the first document in response to receiving the first search query.
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11. A system comprising: one or more computers and one or more non-transitory computer storage media storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a first search query; obtaining search results referencing a plurality of documents that a search engine has identified as being responsive to the first search query; computing a respective count of occurrences of each of a plurality of search queries for which a first document, of the plurality of documents, was identified as being responsive; designating, as entity text strings for the first document, one or more search queries having a count that satisfies a threshold; generating a refined search query having one or more terms from the one or more entity text strings for the first document, including combining (i) one or more terms of the one or more entity text strings for the first document with (ii) one or more terms of the first search query; and providing the refined search query having the one or more terms from the one or more entity text strings for the first document in response to receiving the first search query. 20. The system of claim 11 , wherein computing the respective count of occurrences of each of a plurality of search queries comprises: identifying search queries occurring a search log; determining for which of the search queries in the search log the first document was identified as being responsive; and computing a count of the search queries in the search log for which the first document was identified as being responsive.
| 0.5 |
10. A system for voiceprint based location awareness comprising: a speech engine configured to determine the location of a speaker within an environment based on a received speech utterance; wherein the utterance is received from a plurality of microphones proximate to the speaker, wherein the location is at least one of a plurality of zones within the environment, wherein the utterance is matched to a voiceprint, wherein the voiceprint is associated to a speaker identity, wherein the location information is provided as presence information to telephonic network, wherein the speech engine analyzes the received speech utterance to establish one of the zones in which the speaker is present, wherein the zone is a bounded region within the environment, wherein the analyzing comprises a triangulation computation that determines the location based in part upon acoustic echoes unique to the bounded region resulting from the speech or from ambient noise in the environment; and a data store able to persist at least one voiceprint associated with a speaker identity and a mapping, wherein the speaker identity is associated with a user credential of a computing system, wherein the mapping associates at least one of the plurality of zones with the environment.
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10. A system for voiceprint based location awareness comprising: a speech engine configured to determine the location of a speaker within an environment based on a received speech utterance; wherein the utterance is received from a plurality of microphones proximate to the speaker, wherein the location is at least one of a plurality of zones within the environment, wherein the utterance is matched to a voiceprint, wherein the voiceprint is associated to a speaker identity, wherein the location information is provided as presence information to telephonic network, wherein the speech engine analyzes the received speech utterance to establish one of the zones in which the speaker is present, wherein the zone is a bounded region within the environment, wherein the analyzing comprises a triangulation computation that determines the location based in part upon acoustic echoes unique to the bounded region resulting from the speech or from ambient noise in the environment; and a data store able to persist at least one voiceprint associated with a speaker identity and a mapping, wherein the speaker identity is associated with a user credential of a computing system, wherein the mapping associates at least one of the plurality of zones with the environment. 18. The system of claim 10 , wherein the speech engine fails to match the voiceprint with an existing user identity, programmatically assigning a temporary user identity to the voiceprint.
| 0.790954 |
10. A speech translation method comprising: acquiring speech in a first language as a speech signal; performing speech recognition on the speech signal to obtain a first language word string which is a result of the speech recognition successively; translating the first language word string into a second language to obtain a second language word string which is a result of translation; searching for at least one similar example for each first language word string, and, if there is the similar example, acquiring the similar example and a translation example which is a result of the translation of the similar example in the second language, the similar example indicating a word string that is similar to the first language word string in the first language; selecting, in accordance with a user instruction, at least one of the first language word string associated with the similar example and the second language word string associated with the translation example, as a selected word string; and presenting one or more similar examples and one or more translation examples associated with the selected word string.
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10. A speech translation method comprising: acquiring speech in a first language as a speech signal; performing speech recognition on the speech signal to obtain a first language word string which is a result of the speech recognition successively; translating the first language word string into a second language to obtain a second language word string which is a result of translation; searching for at least one similar example for each first language word string, and, if there is the similar example, acquiring the similar example and a translation example which is a result of the translation of the similar example in the second language, the similar example indicating a word string that is similar to the first language word string in the first language; selecting, in accordance with a user instruction, at least one of the first language word string associated with the similar example and the second language word string associated with the translation example, as a selected word string; and presenting one or more similar examples and one or more translation examples associated with the selected word string. 14. The method according to claim 10 , further comprising storing, in a storage, the similar example and the translation example in association with each other.
| 0.65512 |
22. The computer readable media defined in claim 13 wherein the codestream includes a plurality of layers of coded data and where accessing the header data comprises accessing header data connected with one of the layers.
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22. The computer readable media defined in claim 13 wherein the codestream includes a plurality of layers of coded data and where accessing the header data comprises accessing header data connected with one of the layers. 23. The computer readable media defined in claim 22 wherein the plurality of layers comprises a luminescence layer, a chrominance layer, and a layer for the remaining bits.
| 0.932353 |
1. An apparatus comprising: a graphical input that accepts handwritten input; a display that displays the handwritten input; a processor; a memory that stores code executable by the processor to: recognizes two or more logogram radicals from the display; and generate one or more logogram phrases for the two or more logogram radicals, wherein each logogram phrase comprises a first logogram embodying a first logogram radical of the two or more logogram radicals and a second logogram embodying a second logogram radical of the two or more logogram radicals.
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1. An apparatus comprising: a graphical input that accepts handwritten input; a display that displays the handwritten input; a processor; a memory that stores code executable by the processor to: recognizes two or more logogram radicals from the display; and generate one or more logogram phrases for the two or more logogram radicals, wherein each logogram phrase comprises a first logogram embodying a first logogram radical of the two or more logogram radicals and a second logogram embodying a second logogram radical of the two or more logogram radicals. 7. The apparatus of claim 1 , wherein the code is further executable by the processor to: display a candidate logogram radical list of the two or more logogram radicals; and receive a selection of a logogram radical.
| 0.636513 |
5. A search apparatus for searching for a document corresponding to a specified search term from among a plurality of documents, the search apparatus comprising: an indexing term storage unit for storing an index database having a plurality of character strings each of which is composed of successive characters in each of a plurality of documents with a length equal to a predetermined number of index characters, and is used as an indexing term for that document; a generation unit for generating at least one search string with a length equal to the number of index characters, the search string being included in the search term; a partial search unit for searching the index database for a document which has each of the search strings as an indexing term; a calculation unit for calculating a score indicating a degree at which each document is included in a search result, on the basis of a frequency of occurrence of each of the search strings included in each document or of whether or not each of the search strings is included in each document; a threshold generation unit for generating a threshold of the score which becomes larger as the search term becomes longer, and which becomes smaller as the search term becomes shorter; a selection unit for selecting a document having the score higher than the threshold as a document to be outputted as the search result, from among the plurality of documents; and an output unit for outfitting the document selected by the selection unit.
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5. A search apparatus for searching for a document corresponding to a specified search term from among a plurality of documents, the search apparatus comprising: an indexing term storage unit for storing an index database having a plurality of character strings each of which is composed of successive characters in each of a plurality of documents with a length equal to a predetermined number of index characters, and is used as an indexing term for that document; a generation unit for generating at least one search string with a length equal to the number of index characters, the search string being included in the search term; a partial search unit for searching the index database for a document which has each of the search strings as an indexing term; a calculation unit for calculating a score indicating a degree at which each document is included in a search result, on the basis of a frequency of occurrence of each of the search strings included in each document or of whether or not each of the search strings is included in each document; a threshold generation unit for generating a threshold of the score which becomes larger as the search term becomes longer, and which becomes smaller as the search term becomes shorter; a selection unit for selecting a document having the score higher than the threshold as a document to be outputted as the search result, from among the plurality of documents; and an output unit for outfitting the document selected by the selection unit. 6. The search apparatus according to claim 5 , further comprising an exact match search unit for searching for a document including the search term from among the plurality of documents, wherein the calculation unit further calculates the score of the document, on the basis of a frequency of occurrence of the search term included in the document, and the threshold generation unit generates the threshold on the basis of the score of the document including the search term.
| 0.561325 |
1. A record file editing method, wherein the method comprises: performing fragmentation on an audio file to acquire multiple audio fragments, and recording a fragment time period and a quantity of audio fragments; performing fragment cutting on the multiple acquired audio fragments, and recording a fragment cutting time point and a corresponding audio fragment number; storing the recorded fragment time period, quantity of audio fragments, fragment cutting time point and corresponding audio fragment number in a preset record file of the fragment cutting time point; reading each fragment cutting time point from the record file of the fragment cutting time point, performing time mapping on the fragment cutting time point, and storing, in an array, a new fragment cutting time point that is obtained after the mapping; and reading a prestored interaction mapping file between a document and audio, and performing an adjustment on a time point in the interaction mapping file between a document and audio according to the new fragment cutting time point.
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1. A record file editing method, wherein the method comprises: performing fragmentation on an audio file to acquire multiple audio fragments, and recording a fragment time period and a quantity of audio fragments; performing fragment cutting on the multiple acquired audio fragments, and recording a fragment cutting time point and a corresponding audio fragment number; storing the recorded fragment time period, quantity of audio fragments, fragment cutting time point and corresponding audio fragment number in a preset record file of the fragment cutting time point; reading each fragment cutting time point from the record file of the fragment cutting time point, performing time mapping on the fragment cutting time point, and storing, in an array, a new fragment cutting time point that is obtained after the mapping; and reading a prestored interaction mapping file between a document and audio, and performing an adjustment on a time point in the interaction mapping file between a document and audio according to the new fragment cutting time point. 3. The method according to claim 1 , wherein the reading each fragment cutting time point from the record file of the fragment cutting time point, performing time mapping on the fragment cutting time point, and storing, in an array, a new fragment cutting time point that is obtained after the mapping specifically comprises: performing mapping on multiple times of fragment cutting of each audio fragment, and mapping a fragment cutting time point to a corresponding audio fragment; reading a fragment cutting start time point and a fragment cutting end time point from the record file of the fragment cutting time point; when a cutting segment indicates first cutting of the audio fragment, saving a fragment cutting start time point and a fragment cutting end time point of the cutting segment in the array; and when the cutting segment indicates cutting other than the first cutting of the audio fragment, comparing the fragment cutting start time point and the fragment cutting end time point of the cutting segment with a previously saved cutting time period, and then performing the mapping; and after each audio fragment is mapped, mapping a fragment cutting time period of each audio fragment to the audio file, and storing, in the array, the new fragment cutting time point that is obtained after the mapping.
| 0.575016 |
14. The system recited in claim 13 wherein the base subset and each of said other subsets of prompt definitions has an identification code (ID) associated therewith, and wherein the system further comprises a memory containing a stored table indicating the ID associated with each stored subset of prompt definitions.
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14. The system recited in claim 13 wherein the base subset and each of said other subsets of prompt definitions has an identification code (ID) associated therewith, and wherein the system further comprises a memory containing a stored table indicating the ID associated with each stored subset of prompt definitions. 16. The system recited in claim 14 wherein some of the prompt definitions in said other subsets have the same ID as a corresponding prompt definition in the base subset.
| 0.887394 |
1. A method for verifying matching content between a plurality of text documents implemented with a numerical computation device, comprising: at a first location, forming a first authentication signature from an electronic text character content of a first text document; obtaining a document representation that is a transformation of the first text document, where the document representation represents the electronic text characters converted to a format that is other than electronic text; electronically transmitting the document representation to a second location; electronically storing a second text document derived from the document representation; forming a second authentication signature from an electronic text character content of the stored second text document; and comparing the first and second authentication signatures.
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1. A method for verifying matching content between a plurality of text documents implemented with a numerical computation device, comprising: at a first location, forming a first authentication signature from an electronic text character content of a first text document; obtaining a document representation that is a transformation of the first text document, where the document representation represents the electronic text characters converted to a format that is other than electronic text; electronically transmitting the document representation to a second location; electronically storing a second text document derived from the document representation; forming a second authentication signature from an electronic text character content of the stored second text document; and comparing the first and second authentication signatures. 6. The method according to claim 1 , further comprising forming one or more of the authentication signatures to be machine-readable.
| 0.55445 |
8. An integrated circuit for communicating with a network processor via a serial link interface, the integrated circuit comprising; a request pipeline configured to receive request data words from the network processor, wherein the request data words are organized into periodically repeating request link frames of a predefined word length; a link frame detector configured to identify a start of a request link frame comprising a plurality of words of a predefined word length; a training word generator configured to insert response training words into a response link frame; and a response pipeline output configured to send the response link frame to the network processor in response to detecting the start of the request link frame, wherein the response link frame has a response training word latency corresponding to a request training word latency.
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8. An integrated circuit for communicating with a network processor via a serial link interface, the integrated circuit comprising; a request pipeline configured to receive request data words from the network processor, wherein the request data words are organized into periodically repeating request link frames of a predefined word length; a link frame detector configured to identify a start of a request link frame comprising a plurality of words of a predefined word length; a training word generator configured to insert response training words into a response link frame; and a response pipeline output configured to send the response link frame to the network processor in response to detecting the start of the request link frame, wherein the response link frame has a response training word latency corresponding to a request training word latency. 9. The integrated circuit of claim 8 , wherein the integrated circuit comprises a knowledge based processor (KBP).
| 0.637815 |
1. An apparatus for managing interactions for a contact center, comprising: a processor; and a memory coupled to the processor and storing instructions that, when executed by the processor, cause the processor to: analyze a real-time communication with a customer; detect a topic or an emotional state of the customer or contact center agent based on the analyzed communication; provide on a graphical user interface accessible to a supervisor of the contact center agent, data relating to the detected topic or emotional state; and receive, in response to interaction by the supervisor with the graphical user interface, selection of an action to be taken in response to the topic or the emotional state, wherein the action includes providing real-time advice to the contact center agent.
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1. An apparatus for managing interactions for a contact center, comprising: a processor; and a memory coupled to the processor and storing instructions that, when executed by the processor, cause the processor to: analyze a real-time communication with a customer; detect a topic or an emotional state of the customer or contact center agent based on the analyzed communication; provide on a graphical user interface accessible to a supervisor of the contact center agent, data relating to the detected topic or emotional state; and receive, in response to interaction by the supervisor with the graphical user interface, selection of an action to be taken in response to the topic or the emotional state, wherein the action includes providing real-time advice to the contact center agent. 3. The apparatus of claim 1 , wherein the instructions further cause the processor to verify an identity of the customer, and the providing of the real-time advice to the contact center agent is, at least in part, in response to the identity of the customer being verified.
| 0.5 |
12. The method according to claim 11 , wherein the automatically processing the received speech input comprises a statistical speech recognition process, performed on natural language human speech.
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12. The method according to claim 11 , wherein the automatically processing the received speech input comprises a statistical speech recognition process, performed on natural language human speech. 17. The method according to claim 12 , wherein the plurality of predetermined command contexts comprises a home automation task.
| 0.944475 |
6. The method of claim 1 , further comprising a step of: (D) modifying an emphasis of the region of the spoken audio stream in accordance with the emphasis factor to produce an emphasis-adjusted audio stream.
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6. The method of claim 1 , further comprising a step of: (D) modifying an emphasis of the region of the spoken audio stream in accordance with the emphasis factor to produce an emphasis-adjusted audio stream. 12. The method of claim 6 , further comprising a step of: (E) playing back the emphasis-adjusted audio stream.
| 0.947355 |
7. A method comprising: receiving, at a device, a first menu list of words or phrases, the received first menu list including a plurality of concepts associated with a natural language query to be formed; sending, from the device to a second device, a first selection of a first word or phrase from the first menu list, wherein the first selection identifies a concept for the natural language query to be formed; receiving a second menu list of words or phrases at the device, wherein the second menu list is based at least in part on the identified concept; sending, from the device to the second device, a second selection of a second word or phrase from the second menu list, the second selection identifying a first segment of the natural language query, wherein the natural language query is based at least in part on the first segment, and further wherein the natural language query does not include the identified concept; and receiving a response to the natural language query at the device.
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7. A method comprising: receiving, at a device, a first menu list of words or phrases, the received first menu list including a plurality of concepts associated with a natural language query to be formed; sending, from the device to a second device, a first selection of a first word or phrase from the first menu list, wherein the first selection identifies a concept for the natural language query to be formed; receiving a second menu list of words or phrases at the device, wherein the second menu list is based at least in part on the identified concept; sending, from the device to the second device, a second selection of a second word or phrase from the second menu list, the second selection identifying a first segment of the natural language query, wherein the natural language query is based at least in part on the first segment, and further wherein the natural language query does not include the identified concept; and receiving a response to the natural language query at the device. 13. A method as recited in claim 7 , wherein the second menu list is identified from a plurality of predetermined menu lists.
| 0.615089 |
16. A hardware computer system configured to perform operations comprising: receiving time-aligned script data comprising dialogue words of a script and timecodes corresponding to the dialogue words; comparing pauses between timecodes of adjacent dialogue words to a gap threshold that corresponds to a pre-specified period of time; ignoring pauses that do not meet or exceed the gap threshold; identifying pauses that meet or exceed the gap threshold as gaps between dialogue words for the insertion of video description content; aligning segments of video description content with corresponding gaps in dialogue, wherein the video description content for the segments is derived from corresponding script elements of the script; comparing a duration of a gap to a length of corresponding video description content to determine if the gap is of sufficient length for the insertion of the corresponding video description content; in an event that the gap is not of sufficient length, processing, responsive to determining that the gap is not of sufficient length and independent of user input, one or more of the gap length or the corresponding video description content such that the corresponding video description content is insertable into the gap; and generating a script document comprising the aligned segments of video description content.
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16. A hardware computer system configured to perform operations comprising: receiving time-aligned script data comprising dialogue words of a script and timecodes corresponding to the dialogue words; comparing pauses between timecodes of adjacent dialogue words to a gap threshold that corresponds to a pre-specified period of time; ignoring pauses that do not meet or exceed the gap threshold; identifying pauses that meet or exceed the gap threshold as gaps between dialogue words for the insertion of video description content; aligning segments of video description content with corresponding gaps in dialogue, wherein the video description content for the segments is derived from corresponding script elements of the script; comparing a duration of a gap to a length of corresponding video description content to determine if the gap is of sufficient length for the insertion of the corresponding video description content; in an event that the gap is not of sufficient length, processing, responsive to determining that the gap is not of sufficient length and independent of user input, one or more of the gap length or the corresponding video description content such that the corresponding video description content is insertable into the gap; and generating a script document comprising the aligned segments of video description content. 20. The system of claim 16 , wherein processing one or more of the gap length or the corresponding video description content comprises providing an opportunity for a user to manually modify one or more of the video description content or the gap.
| 0.676087 |
1. A spelling totem, comprising: an elongated, generally rectangular box-shaped member having a top end, a bottom end, a first side surface, a second side surface, a third side surface and a fourth side surface; a first letter language family that is disposed along the first side surface; a second letter language family that is disposed along the second side surface; a third letter language family that is disposed along the third side surface; and a fourth letter language family that is disposed along the fourth side surface, wherein the rectangular member includes a plurality of horizontal ridges that extend across each of the first, second, third and fourth side surfaces, said ridges functioning to create the appearance of a series of vertically aligned building blocks, and each of the first, second, third and fourth letter language families include a different single letter from an alphabet, and a plurality of letter implementations.
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1. A spelling totem, comprising: an elongated, generally rectangular box-shaped member having a top end, a bottom end, a first side surface, a second side surface, a third side surface and a fourth side surface; a first letter language family that is disposed along the first side surface; a second letter language family that is disposed along the second side surface; a third letter language family that is disposed along the third side surface; and a fourth letter language family that is disposed along the fourth side surface, wherein the rectangular member includes a plurality of horizontal ridges that extend across each of the first, second, third and fourth side surfaces, said ridges functioning to create the appearance of a series of vertically aligned building blocks, and each of the first, second, third and fourth letter language families include a different single letter from an alphabet, and a plurality of letter implementations. 5. The totem of claim 1 , wherein the plurality of letter implementations includes: a sign language representation of the single letter.
| 0.649529 |
21. The method of claim 20 and wherein said resolving comprises: displaying said difference tree hierarchy for manual version resolving; presenting a display of at least one current state of a merged page; displaying the values of a component attribute, including displaying the two values for components for which there is a comparison node; selecting and coordinating between said displaying said difference tree hierarchies, said presenting and said displaying the values of a component attribute; providing the combined results from said displaying said difference tree browser, said presenting and said displaying the values of a component attribute; and generating a new resolved difference tree.
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21. The method of claim 20 and wherein said resolving comprises: displaying said difference tree hierarchy for manual version resolving; presenting a display of at least one current state of a merged page; displaying the values of a component attribute, including displaying the two values for components for which there is a comparison node; selecting and coordinating between said displaying said difference tree hierarchies, said presenting and said displaying the values of a component attribute; providing the combined results from said displaying said difference tree browser, said presenting and said displaying the values of a component attribute; and generating a new resolved difference tree. 26. The method of claim 21 and wherein said displaying of at least one current state of said merged page is based on a weighted average of said states.
| 0.872907 |
1. A method comprising: by first program instructions on a first computing device, identifying a candidate application to be installed on the first computing device; identifying a trusted user that a user of the first computing device has identified and indicated as being trusted; receiving from a second computing device, an indication of installation activity of said candidate application by said trusted user on said second computing device; and determining whether to install the candidate application on the first computing device in dependence upon the indication of installation activity.
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1. A method comprising: by first program instructions on a first computing device, identifying a candidate application to be installed on the first computing device; identifying a trusted user that a user of the first computing device has identified and indicated as being trusted; receiving from a second computing device, an indication of installation activity of said candidate application by said trusted user on said second computing device; and determining whether to install the candidate application on the first computing device in dependence upon the indication of installation activity. 5. The method of claim 1 further comprising storing in a repository, information identifying the installation activity associated with one or more applications for each trusted user.
| 0.637136 |
23. A method for mapping changes to network models in a meta-data library comprising: receiving at least one or more changes associated with one or more telecommunication models; linking one or more portions of one or more stored telecommunication models to the received changes; generating one or more maps of the linked portions; generating one or more transformation models using one or more of the generated maps; and forwarding the one or more transformation models to a mediation unit to enable the generation of one or more normalized models.
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23. A method for mapping changes to network models in a meta-data library comprising: receiving at least one or more changes associated with one or more telecommunication models; linking one or more portions of one or more stored telecommunication models to the received changes; generating one or more maps of the linked portions; generating one or more transformation models using one or more of the generated maps; and forwarding the one or more transformation models to a mediation unit to enable the generation of one or more normalized models. 26. The method as in claim 23 wherein the received changes comprise changes from one or more network elements.
| 0.652553 |
8. A computer program product comprising a non-transitory computer readable storage device having a computer readable program stored thereon, wherein the computer readable program when executed on a computer causes the computer to: store a plurality of terms utilized in a previous communication by a human user requesting a product and/or a service in a first spoken language; store a plurality of responses in a second spoken language to the previous communication; store a plurality of outcomes that indicate accuracy of a correspondence between the plurality of responses in the second spoken language and the plurality of terms in the first spoken language, the second spoken language being distinct from the first spoken language; learn, with a processor, to generate responses associated with corresponding terms in a request based upon a statistical probability analysis of the plurality of outcomes from the terminology database; receive, with the processor, a request for a product and/or service in the first spoken language in a current communication in which a human language interpreter is not available; select, with the processor, a phrase in the first spoken language from the terminology database based on an occurrence of a term in the first spoken language in the request and a substantial probability of the phrase provided in the first spoken language in conjunction with the term eliciting particular follow-up data from the human user; provide, with the processor, the phrase in the second spoken language to an entity representative that participates in the current communication; generate, with the processor, a response to the human user to obtain the particular follow-up data from the human user to facilitate ordering the product and/or service; provide the particular follow-up data received from the user in the second spoken language to the entity representative for the entity representative to order the product and/or service; and auto-populate at least one question for a requestor of the product and/or the service in the first spoken language and sends the at least one question to the requestor.
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8. A computer program product comprising a non-transitory computer readable storage device having a computer readable program stored thereon, wherein the computer readable program when executed on a computer causes the computer to: store a plurality of terms utilized in a previous communication by a human user requesting a product and/or a service in a first spoken language; store a plurality of responses in a second spoken language to the previous communication; store a plurality of outcomes that indicate accuracy of a correspondence between the plurality of responses in the second spoken language and the plurality of terms in the first spoken language, the second spoken language being distinct from the first spoken language; learn, with a processor, to generate responses associated with corresponding terms in a request based upon a statistical probability analysis of the plurality of outcomes from the terminology database; receive, with the processor, a request for a product and/or service in the first spoken language in a current communication in which a human language interpreter is not available; select, with the processor, a phrase in the first spoken language from the terminology database based on an occurrence of a term in the first spoken language in the request and a substantial probability of the phrase provided in the first spoken language in conjunction with the term eliciting particular follow-up data from the human user; provide, with the processor, the phrase in the second spoken language to an entity representative that participates in the current communication; generate, with the processor, a response to the human user to obtain the particular follow-up data from the human user to facilitate ordering the product and/or service; provide the particular follow-up data received from the user in the second spoken language to the entity representative for the entity representative to order the product and/or service; and auto-populate at least one question for a requestor of the product and/or the service in the first spoken language and sends the at least one question to the requestor. 14. The computer program product of claim 8 , wherein the communication is selected from the group consisting of voice, audio, video, image, and text.
| 0.556329 |
10. A computer-implemented method comprising: under control of one or more computing devices configured with specific computer-executable instructions, selecting an original object from an item of original content, wherein the original object comprises at least one original attribute; selecting a replacement object from a source other than the item of original content; replacing, in the item of original content, at least one original attribute of the selected original object with at least one attribute of the replacement object to form an item of modified content; determining a coherence value for the item of modified content, wherein the coherence value is based at least in part on a number of times that two or more words included in the item of modified content appear together in a plurality of items of original content; and based at least in part on a determination that the coherence value does not satisfy a threshold value, replacing, in the item of modified content, the at least one attribute of the selected replacement object with at least one of: a different attribute of the selected replacement object or an attribute of a different replacement object.
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10. A computer-implemented method comprising: under control of one or more computing devices configured with specific computer-executable instructions, selecting an original object from an item of original content, wherein the original object comprises at least one original attribute; selecting a replacement object from a source other than the item of original content; replacing, in the item of original content, at least one original attribute of the selected original object with at least one attribute of the replacement object to form an item of modified content; determining a coherence value for the item of modified content, wherein the coherence value is based at least in part on a number of times that two or more words included in the item of modified content appear together in a plurality of items of original content; and based at least in part on a determination that the coherence value does not satisfy a threshold value, replacing, in the item of modified content, the at least one attribute of the selected replacement object with at least one of: a different attribute of the selected replacement object or an attribute of a different replacement object. 16. The computer-implemented method of claim 10 further comprising: based at least in part on the determination that the coherence value does not satisfy the threshold value, restoring, in the item of modified content, the replaced at least one original attribute of the selected original object; and replacing, in the item of modified content, at least one original attribute of a second original object selected from the item of original content with at least one attribute of the replacement object.
| 0.5 |
15. A computer storage medium containing computer executable instructions which when executed by a computer perform a method of providing a command object that is contextually relevant to a selected portion of text within an electronic document, the method executed by the set of instructions comprising: upon receiving a selection of a first portion of text in an electronic document for editing, displaying a command object adjacent to the selected first portion of text such that at least a portion of the selected first portion of text is not covered by the command object, the command object providing text editing functionality in response to the selection of the first portion of text; displaying in the command object a set of functionality commands that are relevant to formatting the selected first portion of text, the set of functionality commands being: derived from a subset of available formatting commands for the document, the subset of available formatting commands being displayed in a main user interface portion of the electronic document, displayed with visual representations similar to the subset of available formatting commands displayed in the main user interface portion, and configured to be applied to the selected first portion of text; receiving a selection of one of the functionality commands from the command object for application of an associated functionality to the first portion of text without closing a display of the command object; associating an opacity of the displayed command object to a distance between an electronic pointer and the displayed command object; and continuing to display the command object after receiving a selection of one of the set of functionality commands.
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15. A computer storage medium containing computer executable instructions which when executed by a computer perform a method of providing a command object that is contextually relevant to a selected portion of text within an electronic document, the method executed by the set of instructions comprising: upon receiving a selection of a first portion of text in an electronic document for editing, displaying a command object adjacent to the selected first portion of text such that at least a portion of the selected first portion of text is not covered by the command object, the command object providing text editing functionality in response to the selection of the first portion of text; displaying in the command object a set of functionality commands that are relevant to formatting the selected first portion of text, the set of functionality commands being: derived from a subset of available formatting commands for the document, the subset of available formatting commands being displayed in a main user interface portion of the electronic document, displayed with visual representations similar to the subset of available formatting commands displayed in the main user interface portion, and configured to be applied to the selected first portion of text; receiving a selection of one of the functionality commands from the command object for application of an associated functionality to the first portion of text without closing a display of the command object; associating an opacity of the displayed command object to a distance between an electronic pointer and the displayed command object; and continuing to display the command object after receiving a selection of one of the set of functionality commands. 16. The computer storage medium of claim 15 , in response to receiving a selection of a second portion of text for formatting, further comprising: closing the display of the command object from the first display position relative to the first portion of text; and displaying the command object at a second display position relative to the second portion of text.
| 0.5 |
1. A computer-implemented method for segregating data and code implemented in a dynamic language, wherein the segregated data and code operate in an environment, wherein the environment and the segregated data and code are controlled using a common dynamic language, the method comprising: implementing the environment in the common dynamic language, the environment including a framework, the framework including a plurality of properties; identify in a visible framework property that is visible to applications; identifying an invisible framework property that is not visible to the applications; and implementing a first application in a first sandbox within the environment, wherein the first application is implemented in the common dynamic language, wherein the first application is unable to access the invisible framework property, and wherein the first application is able to access the visible framework property.
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1. A computer-implemented method for segregating data and code implemented in a dynamic language, wherein the segregated data and code operate in an environment, wherein the environment and the segregated data and code are controlled using a common dynamic language, the method comprising: implementing the environment in the common dynamic language, the environment including a framework, the framework including a plurality of properties; identify in a visible framework property that is visible to applications; identifying an invisible framework property that is not visible to the applications; and implementing a first application in a first sandbox within the environment, wherein the first application is implemented in the common dynamic language, wherein the first application is unable to access the invisible framework property, and wherein the first application is able to access the visible framework property. 7. The method of claim 1 , further comprising: implementing an object, wherein the object has an outside property that is visible in the environment but is invisible in the first sandbox, wherein the outside property has a particular name; wherein the object has a sandbox property that is visible in the first sandbox but is invisible in the environment, wherein the sandbox property also has the particular name.
| 0.590632 |
6. The method of claim 1 further including the step of determining properties of the active task; wherein the assigned weight is tunable based on the properties of the active task.
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6. The method of claim 1 further including the step of determining properties of the active task; wherein the assigned weight is tunable based on the properties of the active task. 7. The method of claim 6 , wherein the properties of the active task include at least one of application software being employed to perform the active task, the type or genre of the active task, attributes related to the user manipulating the active task, properties of an information source on which a search will be conducted, and the state of the active task.
| 0.93752 |
1. A navigation system with switchable multi-language operating interfaces, comprising: a storage unit for storing installation programs and audio databases of the multi-language operating interfaces; a Basic Input/Output System (BIOS) for actuating the navigation system during a boot up thereof and controlling to display a selection interface of settings; a setup module for receiving a user selection from the selection interface; an installation module for loading and installing the corresponding installation program of the multi-language operating interface from the storage unit in accordance with the user selection; and a memory module for storing the installed multi-language operating interfaces, wherein the navigation system is configured such that once the multi-language operating interfaces are installed, there is no need to make a language selection when being warm-booted so that a language is switchable to a desired language without re-cold-booting the navigation system.
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1. A navigation system with switchable multi-language operating interfaces, comprising: a storage unit for storing installation programs and audio databases of the multi-language operating interfaces; a Basic Input/Output System (BIOS) for actuating the navigation system during a boot up thereof and controlling to display a selection interface of settings; a setup module for receiving a user selection from the selection interface; an installation module for loading and installing the corresponding installation program of the multi-language operating interface from the storage unit in accordance with the user selection; and a memory module for storing the installed multi-language operating interfaces, wherein the navigation system is configured such that once the multi-language operating interfaces are installed, there is no need to make a language selection when being warm-booted so that a language is switchable to a desired language without re-cold-booting the navigation system. 2. The navigation system with switchable multi-language operating interfaces of claim 1 , wherein the storage unit is a built-in micro-drive inside the navigation system.
| 0.541232 |
1. A method of automatically generating suggested links in a search system, the method comprising: initiating a first crawl across an enterprise corpus owned by an enterprise; discovering during the first crawl a link pointing to a data source, the data source being mis-characterized during the first crawl as outside a boundary of the enterprise corpus owned by the enterprise; automatically storing the link as a first suggested link with other suggested links in a memory; initiating a second crawl across the enterprise corpus after the automatically storing, the second crawl having a different seed uniform resource locator (URL) or different boundary rules than the first crawl; encountering during the second crawl the data source actually within the same boundary of the enterprise corpus; removing, using a processor operatively coupled to the memory, the first suggested link from the other suggested links based on encountering the data source, previously characterized as outside the boundary of the enterprise corpus, within the same boundary of the enterprise corpus during the second crawl; and determining relevancy scoring for the other suggested links.
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1. A method of automatically generating suggested links in a search system, the method comprising: initiating a first crawl across an enterprise corpus owned by an enterprise; discovering during the first crawl a link pointing to a data source, the data source being mis-characterized during the first crawl as outside a boundary of the enterprise corpus owned by the enterprise; automatically storing the link as a first suggested link with other suggested links in a memory; initiating a second crawl across the enterprise corpus after the automatically storing, the second crawl having a different seed uniform resource locator (URL) or different boundary rules than the first crawl; encountering during the second crawl the data source actually within the same boundary of the enterprise corpus; removing, using a processor operatively coupled to the memory, the first suggested link from the other suggested links based on encountering the data source, previously characterized as outside the boundary of the enterprise corpus, within the same boundary of the enterprise corpus during the second crawl; and determining relevancy scoring for the other suggested links. 2. A method according to claim 1 , further comprising: displaying a subset of the suggested links to a user in response to a query, the subset being determined by the relevancy scoring for the suggested links.
| 0.553459 |
17. A computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising: recognizing, via a processor, received speech with a plurality of domain-specific speech recognizers without knowledge of a domain of the received speech, the plurality of domain-specific speech recognizers comprising two domain-specific speech recognizers from different domains and two domain-specific speech recognizers from a specific domain, wherein each domain-specific speech recognizer of the plurality of domain-specific speech recognizers recognizes the received speech, to yield respective speech recognition outputs; determining a speech recognition confidence score for each of the respective speech recognition outputs; selecting speech recognition candidates from segments of the respective speech recognition outputs based on the speech recognition confidence score for the respective speech recognition outputs; combining, via a machine-learning algorithm, the speech recognition candidates, to yield a combination of the speech recognition candidates; and generating text based on the combination.
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17. A computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising: recognizing, via a processor, received speech with a plurality of domain-specific speech recognizers without knowledge of a domain of the received speech, the plurality of domain-specific speech recognizers comprising two domain-specific speech recognizers from different domains and two domain-specific speech recognizers from a specific domain, wherein each domain-specific speech recognizer of the plurality of domain-specific speech recognizers recognizes the received speech, to yield respective speech recognition outputs; determining a speech recognition confidence score for each of the respective speech recognition outputs; selecting speech recognition candidates from segments of the respective speech recognition outputs based on the speech recognition confidence score for the respective speech recognition outputs; combining, via a machine-learning algorithm, the speech recognition candidates, to yield a combination of the speech recognition candidates; and generating text based on the combination. 19. The computer-readable storage device of claim 17 , wherein training parameters for the machine-learning algorithm are based on one of a lattice combination and a neural network graph that learns from an edit distance between the speech recognition candidates and a correct recognition candidate.
| 0.595794 |
12. A method for recognizing a voice comprising: inputting the voice of an user; calculating a similarity degree between the voice and each of a plurality of voice patterns, wherein the plurality of voice patterns respectively correspond to a plurality of phrases, which are preliminary set; determining the highest similarity degree so that one of the voice patterns corresponding to the highest similarity degree is recognized as the voice of the user; displaying a recognition result corresponding to the one of the voice patterns; executing a process according to the one of the voice patterns when a predetermined operation is input by the user after the displaying the recognition result; estimating a load of the user; and controlling to display the recognition result based on a positive correlation between the estimated load and display repetition of the recognition result.
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12. A method for recognizing a voice comprising: inputting the voice of an user; calculating a similarity degree between the voice and each of a plurality of voice patterns, wherein the plurality of voice patterns respectively correspond to a plurality of phrases, which are preliminary set; determining the highest similarity degree so that one of the voice patterns corresponding to the highest similarity degree is recognized as the voice of the user; displaying a recognition result corresponding to the one of the voice patterns; executing a process according to the one of the voice patterns when a predetermined operation is input by the user after the displaying the recognition result; estimating a load of the user; and controlling to display the recognition result based on a positive correlation between the estimated load and display repetition of the recognition result. 17. The method according to claim 12 , wherein the estimating the load of the user includes obtaining schedule time information, which shows a schedule time of the user, and wherein the load of the user is estimated based on the schedule time information.
| 0.760317 |
1. A method for discovering and installing web application plugins, the method comprising: initiating a client-side component of a server-based web application, the client side-component hosting a first document; opening, by the client-side component, an inline frame within the first document, the inline frame hosting a second document different from the first document; using cross-document messaging to communicate, from the second document to the first document, metadata describing a plugin's capabilities, the metadata further providing an API to access the plugin's capabilities via cross-document messaging; and utilizing the capabilities of the plugin using cross-document messaging in accordance with the API.
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1. A method for discovering and installing web application plugins, the method comprising: initiating a client-side component of a server-based web application, the client side-component hosting a first document; opening, by the client-side component, an inline frame within the first document, the inline frame hosting a second document different from the first document; using cross-document messaging to communicate, from the second document to the first document, metadata describing a plugin's capabilities, the metadata further providing an API to access the plugin's capabilities via cross-document messaging; and utilizing the capabilities of the plugin using cross-document messaging in accordance with the API. 5. The method of claim 1 , further comprising persisting the metadata on a server hosting the server-based web application.
| 0.658818 |
1. A system comprising: a memory storing processor-executable program code; and a processor to execute the processor-executable program code in order to cause the computing device to: identify from a plurality of information models (i) a first information model of a database schema comprising a first dimension and a second dimension and (ii) a second information model of the database schema comprising a third dimension and a fourth dimension, where the first information model and the second information model are not joined to remaining information models; generate an auto-join query language statement on the first dimension of the first information model and the third dimension of the second information model, based on the first dimension and the third dimension being identical, where each auto-join is defined on an identical dimension; generate, for each dimension, a definition indicating each of the information models that includes the dimension, and a column defined by each of the information models which corresponds to the dimension; receive the auto-join query language statement including the first dimension of the first information model and the third dimension of the second information model; generate a structured language query for each of the information models based on the generated definitions indicating the first information model wherein in a case that the first informational model does not include an identical dimension with the remaining information models, include a NULL in place of a missing dimension in a SELECT statement of the structured language query generated for the first information model so that a returned result set includes a same number of columns; obtain a plurality of result sets, one for each of the structured language queries; determine at least one or more rows from each of result sets having identical dimension values; aggregate the rows from each of the result sets having identical dimension values into a single row in an aggregated result set; and present the single rows.
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1. A system comprising: a memory storing processor-executable program code; and a processor to execute the processor-executable program code in order to cause the computing device to: identify from a plurality of information models (i) a first information model of a database schema comprising a first dimension and a second dimension and (ii) a second information model of the database schema comprising a third dimension and a fourth dimension, where the first information model and the second information model are not joined to remaining information models; generate an auto-join query language statement on the first dimension of the first information model and the third dimension of the second information model, based on the first dimension and the third dimension being identical, where each auto-join is defined on an identical dimension; generate, for each dimension, a definition indicating each of the information models that includes the dimension, and a column defined by each of the information models which corresponds to the dimension; receive the auto-join query language statement including the first dimension of the first information model and the third dimension of the second information model; generate a structured language query for each of the information models based on the generated definitions indicating the first information model wherein in a case that the first informational model does not include an identical dimension with the remaining information models, include a NULL in place of a missing dimension in a SELECT statement of the structured language query generated for the first information model so that a returned result set includes a same number of columns; obtain a plurality of result sets, one for each of the structured language queries; determine at least one or more rows from each of result sets having identical dimension values; aggregate the rows from each of the result sets having identical dimension values into a single row in an aggregated result set; and present the single rows. 4. A system according to claim 1 , wherein the object-based query includes one or more dimensions and two or more measures, wherein each of the single rows includes a value of each of the two or more measures.
| 0.717241 |
17. A computer program product for use in a federated environment in which a token service fulfills request by executing a trust chain comprising a set of modules, comprising: a non-transitory computer-readable medium having computer program instructions that, when executed by a data processing system, perform the following steps: responsive to receipt of a token, initiating processing of the module chain; during processing of the module chain, attempting to validate a value of a name-value pair based on a rule, wherein the rule is determined based on one or more invocation parameters of the module chain; and returning a response.
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17. A computer program product for use in a federated environment in which a token service fulfills request by executing a trust chain comprising a set of modules, comprising: a non-transitory computer-readable medium having computer program instructions that, when executed by a data processing system, perform the following steps: responsive to receipt of a token, initiating processing of the module chain; during processing of the module chain, attempting to validate a value of a name-value pair based on a rule, wherein the rule is determined based on one or more invocation parameters of the module chain; and returning a response. 20. The computer program product as described in claim 17 wherein, if the value of the name-value pair cannot be validated, the response is an error.
| 0.70688 |
1. A system for activating a document handler having a document validator comprising: an inlet for receiving documents; a validation passageway for guiding a document inserted into the inlet; a validation conveyor for transporting the document along the validation passageway; a validation sensor for detecting optical or magnetic features of the document transported along the validation passageway to produce detection signals; a control device for receiving detection signals from the validation sensor to decide whether the document is genuine or not; a clock in electronic communication with the control device for tracking a time period; and a memory in electronic communication with the control device for storing a set of unique time codes; wherein a timing ticket that provides an activation code is inserted into the inlet and transported along the passageway to detect the activation code on the timing ticket by the validation sensor that forwards the activation code to the control device; the control device activates to operate the document handler for a predefined time period tracked by the clock in accordance with: (a) the activation code matching one of the unique time codes in the memory; (b) the activation code including a specified time period within the activation code; or (c) a separate time value being detected on or corresponding to the timing ticket.
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1. A system for activating a document handler having a document validator comprising: an inlet for receiving documents; a validation passageway for guiding a document inserted into the inlet; a validation conveyor for transporting the document along the validation passageway; a validation sensor for detecting optical or magnetic features of the document transported along the validation passageway to produce detection signals; a control device for receiving detection signals from the validation sensor to decide whether the document is genuine or not; a clock in electronic communication with the control device for tracking a time period; and a memory in electronic communication with the control device for storing a set of unique time codes; wherein a timing ticket that provides an activation code is inserted into the inlet and transported along the passageway to detect the activation code on the timing ticket by the validation sensor that forwards the activation code to the control device; the control device activates to operate the document handler for a predefined time period tracked by the clock in accordance with: (a) the activation code matching one of the unique time codes in the memory; (b) the activation code including a specified time period within the activation code; or (c) a separate time value being detected on or corresponding to the timing ticket. 3. The system of claim 1 , wherein the control device detects and evaluates a compliance value on the ticket to determine compliance with terms of use, the terms of use evaluated are from the group comprising at least one of: (a) downloading new firmware, (b) power-up, (c) detected swap of parts in the document handler, (d) bill insertion, (e) bill stacking, (f) cashbox swap, or (g) passage of a predetermined time period.
| 0.741435 |
8. The method of claim 1 , wherein the disambiguating part of speech features for the text elements in the query comprises applying the rules for recapitalization, whereby a text element starting with a lowercase letter is capitalized in the query and associated with a part of speech when one of the rules is satisfied.
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8. The method of claim 1 , wherein the disambiguating part of speech features for the text elements in the query comprises applying the rules for recapitalization, whereby a text element starting with a lowercase letter is capitalized in the query and associated with a part of speech when one of the rules is satisfied. 9. The method of claim 8 , wherein at least one of the recapitalization rules is language specific.
| 0.93918 |
15. A computer implemented system for processing data, the system comprising: a processor for parsing one or more documents to identify at least one term based on at least one rule; a module for identifying content for the at least one term; and an interface for displaying the identified content based upon a user interaction with at least a portion of the one or more documents; wherein one or more data objects associated with a term database are received by one or more remote computers for providing a representation of at least a portion of the term database at the one or more remote computers and for linking the identified content with the at least one term; and wherein the one or more data objects contain data associated with one or more terms.
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15. A computer implemented system for processing data, the system comprising: a processor for parsing one or more documents to identify at least one term based on at least one rule; a module for identifying content for the at least one term; and an interface for displaying the identified content based upon a user interaction with at least a portion of the one or more documents; wherein one or more data objects associated with a term database are received by one or more remote computers for providing a representation of at least a portion of the term database at the one or more remote computers and for linking the identified content with the at least one term; and wherein the one or more data objects contain data associated with one or more terms. 18. The system of claim 15 , wherein a sponsorship opportunity is provided to at least one entity to sponsor the at least one term.
| 0.596742 |
15. A computer program product comprising a non-transitory computer-readable medium having a computer-readable program code embodied therein to be executed by one or more processors, the program code including instructions to: receive user input that specifies a plurality of configuration options, wherein each combination of the specified configuration options comprise at least two of the specified configuration options and wherein the specified configuration options include operating system options, multipathing software options, volume options, array options, snapshot type options, and dataset options, wherein the dataset options comprise at least one of a small dataset, a medium dataset, and a large dataset that are differentiated from each other based on a number of directories to be created in a datatree, a depth of the datatree, a number of files to be created in each directory, and a size of each file to be created; populate a test case suite, the populating comprising generating an instance of a test case for each combination of the specified configuration options; parse the test case from the test case suite to identify script instructions to test an application for each combination of the configuration options; create volumes based on received user input that specifies selection from volume options, wherein the selected volume options comprise at least two of a managed volume, an unmanaged volume, and a raw volume; create data required for backup based on user input that specifies dataset options; determine if a computer is setup for each combination of the specified configuration options, including the selected volume options; execute the identified script instructions to test the application for each combination of the specified configuration options, including the selected volume options, in response to a determination that the computer is setup for each combination of the specified configuration options, the executing comprising traversing the generated instances of the test case; log a result of executing the script instructions for each combination of the specified configuration options, including the selected volume options; and output the result via an output device.
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15. A computer program product comprising a non-transitory computer-readable medium having a computer-readable program code embodied therein to be executed by one or more processors, the program code including instructions to: receive user input that specifies a plurality of configuration options, wherein each combination of the specified configuration options comprise at least two of the specified configuration options and wherein the specified configuration options include operating system options, multipathing software options, volume options, array options, snapshot type options, and dataset options, wherein the dataset options comprise at least one of a small dataset, a medium dataset, and a large dataset that are differentiated from each other based on a number of directories to be created in a datatree, a depth of the datatree, a number of files to be created in each directory, and a size of each file to be created; populate a test case suite, the populating comprising generating an instance of a test case for each combination of the specified configuration options; parse the test case from the test case suite to identify script instructions to test an application for each combination of the configuration options; create volumes based on received user input that specifies selection from volume options, wherein the selected volume options comprise at least two of a managed volume, an unmanaged volume, and a raw volume; create data required for backup based on user input that specifies dataset options; determine if a computer is setup for each combination of the specified configuration options, including the selected volume options; execute the identified script instructions to test the application for each combination of the specified configuration options, including the selected volume options, in response to a determination that the computer is setup for each combination of the specified configuration options, the executing comprising traversing the generated instances of the test case; log a result of executing the script instructions for each combination of the specified configuration options, including the selected volume options; and output the result via an output device. 16. The computer program product of claim 15 further comprising instructions to terminate testing of the application in response to a determination that the computer is not setup for each combination of the configuration options.
| 0.557743 |
11. A system for accessing an out-space user interface for a program, comprising: a processor; a display; and a memory having computer-executable instructions stored thereon, wherein the computer-executable instructions are configured to: display a document editor including an in-space actuator and an out-space actuator; in response to receiving a selection of the in-space actuator, display the in-space user interface comprising an in-space user interface area comprising in-space user interface elements and a document display area to display a document, wherein the in-space user interface area comprises a ribbon comprising ribbon tabs and authoring features for authoring the content of the document; and in response to receiving a selection of the out-space actuator, remove at least a portion of the in-space user interface elements displayed in the in-space user interface area, and display the out-space user interface within the document display area, the out-space user interface comprising out-space user interface elements that when selected do not affect the content of the document, and wherein the out-space user interface elements include non-authoring features associated with the document in the document display area.
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11. A system for accessing an out-space user interface for a program, comprising: a processor; a display; and a memory having computer-executable instructions stored thereon, wherein the computer-executable instructions are configured to: display a document editor including an in-space actuator and an out-space actuator; in response to receiving a selection of the in-space actuator, display the in-space user interface comprising an in-space user interface area comprising in-space user interface elements and a document display area to display a document, wherein the in-space user interface area comprises a ribbon comprising ribbon tabs and authoring features for authoring the content of the document; and in response to receiving a selection of the out-space actuator, remove at least a portion of the in-space user interface elements displayed in the in-space user interface area, and display the out-space user interface within the document display area, the out-space user interface comprising out-space user interface elements that when selected do not affect the content of the document, and wherein the out-space user interface elements include non-authoring features associated with the document in the document display area. 20. The system of claim 11 , wherein the document editor includes one of a word processing editor, a spreadsheet editor, a slide presentation editor, a web document editor, or an email editor.
| 0.594095 |
19. A computer-readable medium encoded with signals which, when processed by a computer in a system having data maintained in electronic file storage, said data corresponding to a plurality of physical entities, cause the computer to perform a method for retrieving data, the method comprising acts of: (A) receiving at least one search criterion from a user; (B) creating a query based on the at least one search criterion; (C) executing the query against the electronic file storage to generate results, each of the results corresponding to a respective data entity which satisfies the at least one search criterion and corresponds to a respective physical entity; (D) arranging the results into an order, the order being determined at least in part by a characteristic of the physical entity corresponding to each result, and a previous act by a user with respect to the physical to each result; and (E) displaying the results to the user.
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19. A computer-readable medium encoded with signals which, when processed by a computer in a system having data maintained in electronic file storage, said data corresponding to a plurality of physical entities, cause the computer to perform a method for retrieving data, the method comprising acts of: (A) receiving at least one search criterion from a user; (B) creating a query based on the at least one search criterion; (C) executing the query against the electronic file storage to generate results, each of the results corresponding to a respective data entity which satisfies the at least one search criterion and corresponds to a respective physical entity; (D) arranging the results into an order, the order being determined at least in part by a characteristic of the physical entity corresponding to each result, and a previous act by a user with respect to the physical to each result; and (E) displaying the results to the user. 29. The computer-readable medium of claim 19 , wherein the electronic file storage comprises a database.
| 0.588889 |
3. The method as recited in claim 1 , further comprising: training a plurality of cluster classifiers for each image cluster of the plurality of image clusters, each of the plurality of cluster classifiers being associated with a given image feature; and determining a probability that the unknown person instance is each known person instance in the image cluster based on a given image feature by using the associated cluster classifier.
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3. The method as recited in claim 1 , further comprising: training a plurality of cluster classifiers for each image cluster of the plurality of image clusters, each of the plurality of cluster classifiers being associated with a given image feature; and determining a probability that the unknown person instance is each known person instance in the image cluster based on a given image feature by using the associated cluster classifier. 4. The method as recited in claim 3 , wherein the plurality of cluster classifiers comprises a face classifier and a body classifier.
| 0.961823 |
10. A method being performed by one or more computing devices including at least one processor, the method for utilizing keystroke logging to determine items for presentation, the method comprising: receiving a search query including submitted content and keystroke logging information, the keystroke logging information being captured between engagement with a search query input region and execution of a search query; receiving keystroke logging information associated with the search query, the keystroke logging information being captured between engagement with a search query input region and execution of a search query; and determining at least one of a search result and an advertisement for presentation in response to the received search query, the at least one of the search result and the advertisement being determined, at least in part, based upon the keystroke logging information.
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10. A method being performed by one or more computing devices including at least one processor, the method for utilizing keystroke logging to determine items for presentation, the method comprising: receiving a search query including submitted content and keystroke logging information, the keystroke logging information being captured between engagement with a search query input region and execution of a search query; receiving keystroke logging information associated with the search query, the keystroke logging information being captured between engagement with a search query input region and execution of a search query; and determining at least one of a search result and an advertisement for presentation in response to the received search query, the at least one of the search result and the advertisement being determined, at least in part, based upon the keystroke logging information. 11. The method of claim 10 , wherein the keystroke logging information is not discernable from the search query.
| 0.626971 |
2. A transmitter/receiver as claimed in claim 1, further comprising first and second low pass filters, said first mixer being arranged to feed said demodulator means via said first low pass filter, and said second mixer being arranged to feed said demodulator means via said second low pass filter.
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2. A transmitter/receiver as claimed in claim 1, further comprising first and second low pass filters, said first mixer being arranged to feed said demodulator means via said first low pass filter, and said second mixer being arranged to feed said demodulator means via said second low pass filter. 5. A transmitter/receiver as claimed in claim 2, wherein said aerial means comprises a transmitter/receiver aerial.
| 0.890796 |
35. The method of claim 34 , wherein the incomplete construct is missing one or more additional text portions, and wherein performing a trial in stage 2 comprises performing one or more additional trials in stage 2, comprising: performing said presenting the plurality of textual responses, said requiring the student to select a textual response, and said determining if the student selected the correct textual response in an iterative manner until the construct is complete.
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35. The method of claim 34 , wherein the incomplete construct is missing one or more additional text portions, and wherein performing a trial in stage 2 comprises performing one or more additional trials in stage 2, comprising: performing said presenting the plurality of textual responses, said requiring the student to select a textual response, and said determining if the student selected the correct textual response in an iterative manner until the construct is complete. 36. The method of claim 35 , further comprising: if there are no further trials to be performed in stage 2 in the current level, performing trials in stage 3.
| 0.899781 |
6. A method for downloading an APP builder program to a mobile handheld communication device comprising: connecting to an APP supplier; downloading the APP builder program from the APP supplier to the mobile handheld communication device; storing the APP builder program into memory of the mobile handheld communication device; executing and instantiating the APP builder program, wherein the APP builder program is configured to: receive a customer search request, retrieve search parameters from the customer search request, generate a contextualized search criteria by combining the retrieved search parameters and a saved customer preference data saved on a data storage memory of the device, create a temporary container for mobile applications on the mobile handheld communication device, and selectively download applications related to expanded search using the contextualized search criteria based on the customer search request, wherein the mobile applications comprise logos and optical tokens, and wherein the logos and optical tokens are presented to the user of the mobile handheld communication device to provide the expanded search to the user based on the customer search request, generate a consumer preference storage area in memory to store consumer preference data for a user of the mobile handheld communication device: and collect and compiling consumer preference data of the user using the APP builder program.
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6. A method for downloading an APP builder program to a mobile handheld communication device comprising: connecting to an APP supplier; downloading the APP builder program from the APP supplier to the mobile handheld communication device; storing the APP builder program into memory of the mobile handheld communication device; executing and instantiating the APP builder program, wherein the APP builder program is configured to: receive a customer search request, retrieve search parameters from the customer search request, generate a contextualized search criteria by combining the retrieved search parameters and a saved customer preference data saved on a data storage memory of the device, create a temporary container for mobile applications on the mobile handheld communication device, and selectively download applications related to expanded search using the contextualized search criteria based on the customer search request, wherein the mobile applications comprise logos and optical tokens, and wherein the logos and optical tokens are presented to the user of the mobile handheld communication device to provide the expanded search to the user based on the customer search request, generate a consumer preference storage area in memory to store consumer preference data for a user of the mobile handheld communication device: and collect and compiling consumer preference data of the user using the APP builder program. 7. The method of claim 6 , further comprising: storing the consumer preference data of the user in the consumer preference storage area.
| 0.591681 |
11. A method of operation of a computing system comprising: determining a sharing for representing a scenario surrounding sharing of a content; determine a user's past sharing selection for the sharing context, wherein the user's past sharing selection is for representing prior sharing of previous information similar to the content or associated with same instance of the sharing context; calculate a personalization degree for representing a match between a current personalization setting and the sharing context; generating with a control unit a sharing option for the sharing context based on a default set for the sharing context, the user's past sharing selection for the sharing context, and the personalization degree for the sharing context; and estimating a user's privacy preference based on the sharing option.
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11. A method of operation of a computing system comprising: determining a sharing for representing a scenario surrounding sharing of a content; determine a user's past sharing selection for the sharing context, wherein the user's past sharing selection is for representing prior sharing of previous information similar to the content or associated with same instance of the sharing context; calculate a personalization degree for representing a match between a current personalization setting and the sharing context; generating with a control unit a sharing option for the sharing context based on a default set for the sharing context, the user's past sharing selection for the sharing context, and the personalization degree for the sharing context; and estimating a user's privacy preference based on the sharing option. 15. The method as claimed in claim 11 wherein: estimating the user's privacy preference based on the sharing option includes providing a sharing set with the sharing option; further comprising: receiving the user's past sharing selection over a time period; calculating a default match for the user's past sharing selection with the default set; calculating a personalization match for the user's past sharing selection with the sharing set; generating an adjustment rate for the personalization degree based on the default match and the personalization match; and adjusting the personalization degree based on the adjustment rate.
| 0.513097 |
28. A method performed by one or more devices, the method comprising: determining, by one or more processors of the one or more devices, an amount that a rank of a document changes over time; determining or adjusting, by one or more processors of the one or more devices, a score for the document based on the amount that the rank of the document changes over time; and ranking, by one or more processors of the one or more devices, the document with regard to at least one other document based on the score.
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28. A method performed by one or more devices, the method comprising: determining, by one or more processors of the one or more devices, an amount that a rank of a document changes over time; determining or adjusting, by one or more processors of the one or more devices, a score for the document based on the amount that the rank of the document changes over time; and ranking, by one or more processors of the one or more devices, the document with regard to at least one other document based on the score. 30. The method of claim 28 , further comprising: preventing the rank of the document from increasing more than a predetermined threshold amount within a time period.
| 0.824084 |
18. The device of claim 17 , wherein the ontology related to the first word comprises at least one of synonyms of the first word, superlative groups related to the first word, or words that are likely to accompany the first word in a sentence.
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18. The device of claim 17 , wherein the ontology related to the first word comprises at least one of synonyms of the first word, superlative groups related to the first word, or words that are likely to accompany the first word in a sentence. 19. The device of claim 18 , wherein keys representing a superlative group are arranged in a size order.
| 0.947521 |
6. The method of claim 4 wherein the pre-defined criteria are defined relative to one or more security levels, sensitivity levels, intended distribution groups or retention level.
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6. The method of claim 4 wherein the pre-defined criteria are defined relative to one or more security levels, sensitivity levels, intended distribution groups or retention level. 9. The method of claim 6 wherein the visual markings in the body of the XML based word processing document is a watermark.
| 0.970058 |
28. A computer system for processing a user input event having a code associated therewith, the system comprising: means for receiving notification of a user input event having a code associated therewith, said notification including the associated code; means for convening said code to a value indicating a character or a symbol; one or more applications; and means for interacting with said one or more applications and said convening means in response to notification of said user input event, wherein said means for interacting are configured to prevent said one or more applications from handling said user input event by providing a sentinel value indicating a pending text event to the one or more applications when said converting means are interested in performing a conversion action with respect to said input event, wherein said means for interacting is further configured to receive from an application a specific request associated with said sentinel value to disclose said code, wherein said request is generated by the application incident to the application recognizing that said sentinel value represents a type of input event that is capable of being processed by said application, wherein said means for interacting is further configured to reveal said code to said application in response to said request to disclose said code.
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28. A computer system for processing a user input event having a code associated therewith, the system comprising: means for receiving notification of a user input event having a code associated therewith, said notification including the associated code; means for convening said code to a value indicating a character or a symbol; one or more applications; and means for interacting with said one or more applications and said convening means in response to notification of said user input event, wherein said means for interacting are configured to prevent said one or more applications from handling said user input event by providing a sentinel value indicating a pending text event to the one or more applications when said converting means are interested in performing a conversion action with respect to said input event, wherein said means for interacting is further configured to receive from an application a specific request associated with said sentinel value to disclose said code, wherein said request is generated by the application incident to the application recognizing that said sentinel value represents a type of input event that is capable of being processed by said application, wherein said means for interacting is further configured to reveal said code to said application in response to said request to disclose said code. 29. The computer system of claim 28 , further comprising means for editing an input method.
| 0.53951 |
13. At a computer system, the computer system including a processor and system memory, a computer implemented method for data mining on a multidimensional data cube, comprising: accessing multidimensional data; accessing multidimensional expressions defining how to view the multidimensional data as a multidimensional data cube; accessing data mining extensions for performing data mining on data residing in the multidimensional cube; integrating the multidimensional expressions and the data mining extensions into input for data mining model creation; the processor creating a data mining model trained on the multidimensional data from the input; storing the data mining model; performing data predictions against data contained in the multidimensional data cube by data mining the multidimensional data cube in accordance with the data mining model, data mining including performing data mining operations on portions of data contained in the multidimensional data cube in accordance with a multidimensional query element.
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13. At a computer system, the computer system including a processor and system memory, a computer implemented method for data mining on a multidimensional data cube, comprising: accessing multidimensional data; accessing multidimensional expressions defining how to view the multidimensional data as a multidimensional data cube; accessing data mining extensions for performing data mining on data residing in the multidimensional cube; integrating the multidimensional expressions and the data mining extensions into input for data mining model creation; the processor creating a data mining model trained on the multidimensional data from the input; storing the data mining model; performing data predictions against data contained in the multidimensional data cube by data mining the multidimensional data cube in accordance with the data mining model, data mining including performing data mining operations on portions of data contained in the multidimensional data cube in accordance with a multidimensional query element. 19. The method of claim 13 , further comprising providing a language schema for integrating the multidimensional expressions and the data mining extensions; and wherein integrating the multidimensional expressions and the data mining extensions into input for data mining model creation comprises integrating the multidimensional expressions and the data mining extensions into input for data mining model creation in accordance with the provided language schema.
| 0.655853 |
4. The computer-implemented method of claim 1 in which the one or more infographics further includes a timeline representing an historical amount of participant activity over a prescribed period of time.
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4. The computer-implemented method of claim 1 in which the one or more infographics further includes a timeline representing an historical amount of participant activity over a prescribed period of time. 5. The computer-implemented method of claim 4 in which the prescribed period of time is user configurable.
| 0.920435 |
7. The method of claim 1 , wherein the requested information received from the social networking system comprises a set of content items that relate to (1) one or more actions performed by one or more other users with whom the user has established a connection in the social networking system, and (2) at least one specified URL or domain.
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7. The method of claim 1 , wherein the requested information received from the social networking system comprises a set of content items that relate to (1) one or more actions performed by one or more other users with whom the user has established a connection in the social networking system, and (2) at least one specified URL or domain. 9. The method of claim 7 , wherein the actions include at least one of: specifying a connection to a web page in connection with the social networking system, sharing the web page in connection with the social networking system, and posting a comment regarding a web page in connection with the social networking system.
| 0.89194 |
1. A method for converting a template written in a templating language, the method comprising: receiving the template in the templating language at a translator; compiling the template with the translator to create a function in the host language; merging the function in the host language with a subset of code written in the host language; converting the subset of code written in the host language into a safe subset of code written in the host language, wherein the safe subset of code written in the host language adheres to a pre-determined schema and a pre-determined set of constraints; and translating the safe subset of code written in the host language to a subset of code written in a templated language, wherein the translating comprises: determining that an element within the safe subset of code written in the host language comprises a dynamic value, and wrapping the dynamic value with host language code that allows the dynamic value to be translated to the templated language upon execution of the subset of code written in the templated language.
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1. A method for converting a template written in a templating language, the method comprising: receiving the template in the templating language at a translator; compiling the template with the translator to create a function in the host language; merging the function in the host language with a subset of code written in the host language; converting the subset of code written in the host language into a safe subset of code written in the host language, wherein the safe subset of code written in the host language adheres to a pre-determined schema and a pre-determined set of constraints; and translating the safe subset of code written in the host language to a subset of code written in a templated language, wherein the translating comprises: determining that an element within the safe subset of code written in the host language comprises a dynamic value, and wrapping the dynamic value with host language code that allows the dynamic value to be translated to the templated language upon execution of the subset of code written in the templated language. 3. The method of claim 1 : wherein compiling the template involves parsing the template to create a first abstract syntax tree; and wherein merging the function in the host language with the subset of code written in the host language involves parsing the subset of code written in the host language to create a second abstract syntax tree, and merging the first abstract syntax tree with the second abstract syntax tree to create a third abstract syntax tree.
| 0.698693 |
8. A computer-implemented method, comprising: accepting control of a wizard based on a first user request, the wizard configured to perform a step-by-step process, each step associated with a step type, the step type being one of confirmation, processing, optional input, or mandatory input, wherein the wizard is capable of presenting a user interface associated with each step in the step-by-step process; causing execution of the wizard process in batch mode by a batch job manager until a first step associated with a step type that requires user input is encountered; presenting an augmented user interface of the wizard associated with the first step to the user, where the augmented user interface of the wizard incorporates at least one user interface element associated with the operations of the batch job manager configured to correspond to the first step, where completion of the first step is based at least in part on a second user request; and resuming execution of the wizard process in batch mode after completion of the first step based on the second user request.
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8. A computer-implemented method, comprising: accepting control of a wizard based on a first user request, the wizard configured to perform a step-by-step process, each step associated with a step type, the step type being one of confirmation, processing, optional input, or mandatory input, wherein the wizard is capable of presenting a user interface associated with each step in the step-by-step process; causing execution of the wizard process in batch mode by a batch job manager until a first step associated with a step type that requires user input is encountered; presenting an augmented user interface of the wizard associated with the first step to the user, where the augmented user interface of the wizard incorporates at least one user interface element associated with the operations of the batch job manager configured to correspond to the first step, where completion of the first step is based at least in part on a second user request; and resuming execution of the wizard process in batch mode after completion of the first step based on the second user request. 9. The method of claim 8 , further comprising continuing execution of the wizard process in batch mode until a second step associated with a step type that requires user input is encountered.
| 0.530453 |
1. A computer-implemented method of detecting a bad faith essay response, the method comprising: receiving a plurality of essay prompts with a computer; receiving an essay response in the computer associated with a particular essay prompt of the plurality of essay prompts; scoring by the computer the essay response associated with the particular essay prompt against each of the plurality of essay prompts to generate plural similarity scores; and determining by the computer if the essay response associated with the particular essay prompt is a bad faith essay response based at least in part on determining whether the plural similarity scores indicate that the essay response associated with the particular essay prompt is sufficiently dissimilar to each of the plurality of essay prompts.
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1. A computer-implemented method of detecting a bad faith essay response, the method comprising: receiving a plurality of essay prompts with a computer; receiving an essay response in the computer associated with a particular essay prompt of the plurality of essay prompts; scoring by the computer the essay response associated with the particular essay prompt against each of the plurality of essay prompts to generate plural similarity scores; and determining by the computer if the essay response associated with the particular essay prompt is a bad faith essay response based at least in part on determining whether the plural similarity scores indicate that the essay response associated with the particular essay prompt is sufficiently dissimilar to each of the plurality of essay prompts. 2. The method of claim 1 wherein determining if the essay response is a bad faith essay response further comprises using a classifier including a neural network, the classifier being trained by vectors of features and then at least assisting in determining whether the essay response is a bad faith essay response based on the vectors of features.
| 0.655446 |
16. A computer system for electronically utilizing content in a communication between a customer and a service representative, the computer system comprising one or more processors, one or more computer-readable storage devices, and a plurality of program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors, the plurality of program instructions comprising: program instructions to capture an audible conversation between a customer and a service representative; program instructions to convert the entire audible conversation into computer searchable text data; program instructions to store the entire audible conversation in an audio repository and the entire searchable text data representative of the entire audio conversation in a text repository; program instructions to analyze the computer searchable text data during the audible conversation to identify one or more meta tags previously stored in the text repository or generated during the audible conversation determined relevant to a current conversation between the service representative and the customer, wherein each of the one or more meta tags are associated with the customer and wherein each meta tag provides a contextual item determined from at least a portion of one of the current or previous conversation with the customer; program instructions to generate one or more recommendations of product offerings tailored to the customer based on the one or more meta tags, wherein the contextual item associated with the meta tag represents one or more topics discussed during one or more communication sessions and each contextual item includes one or more contextual keys; program instructions to display, to the service representative, a meta tag and the one or more recommendations determined to be relevant to the current conversation between the service representative and the customer; and program instructions to determine sentiment toward the contextual item associated with the meta tag by detecting one or more words having a sentiment polarity using a sentiment dictionary containing sentiment related words having a particular polarity whereby once polarity has been determined, a number of positive and negative sentiment words spoken the customer in relation to identified contextual items are countered.
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16. A computer system for electronically utilizing content in a communication between a customer and a service representative, the computer system comprising one or more processors, one or more computer-readable storage devices, and a plurality of program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors, the plurality of program instructions comprising: program instructions to capture an audible conversation between a customer and a service representative; program instructions to convert the entire audible conversation into computer searchable text data; program instructions to store the entire audible conversation in an audio repository and the entire searchable text data representative of the entire audio conversation in a text repository; program instructions to analyze the computer searchable text data during the audible conversation to identify one or more meta tags previously stored in the text repository or generated during the audible conversation determined relevant to a current conversation between the service representative and the customer, wherein each of the one or more meta tags are associated with the customer and wherein each meta tag provides a contextual item determined from at least a portion of one of the current or previous conversation with the customer; program instructions to generate one or more recommendations of product offerings tailored to the customer based on the one or more meta tags, wherein the contextual item associated with the meta tag represents one or more topics discussed during one or more communication sessions and each contextual item includes one or more contextual keys; program instructions to display, to the service representative, a meta tag and the one or more recommendations determined to be relevant to the current conversation between the service representative and the customer; and program instructions to determine sentiment toward the contextual item associated with the meta tag by detecting one or more words having a sentiment polarity using a sentiment dictionary containing sentiment related words having a particular polarity whereby once polarity has been determined, a number of positive and negative sentiment words spoken the customer in relation to identified contextual items are countered. 17. The computer system of claim 16 , wherein the program instructions to store one or more meta tags in a data repository comprise: program instructions to analyze the computer searchable data representing previous conversations between the customer and a service representative in order to generate one or more meta tags, wherein each meta tag relates to at least a portion of the searchable data and wherein each meta tag is associated with a contextual item; and program instructions to store the computer searchable data and each said meta tag in the data repository in association with said customer.
| 0.5 |
5. The method of claim 1 , further comprising providing a count of domain names includes in the set of second level root domain names, less those excluded by the modified expression.
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5. The method of claim 1 , further comprising providing a count of domain names includes in the set of second level root domain names, less those excluded by the modified expression. 6. The method of claim 5 , further comprising determining a corresponding registration fee based on the count of domain names.
| 0.923166 |
4. The method of claim 3 , wherein the outputting further comprises displaying the saved DOM tree, in which DOM elements that differ between the displayed DOM tree and the acquired DOM tree are highlighted.
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4. The method of claim 3 , wherein the outputting further comprises displaying the saved DOM tree, in which DOM elements that differ between the displayed DOM tree and the acquired DOM tree are highlighted. 5. The method of claim 4 , wherein the outputting further comprises displaying, in response to a selection of a highlighted DOM element, a CSS property to be applied to the selected highlighted DOM element and a definition location of the CSS property.
| 0.915924 |
1. A computer-implemented method, comprising: presenting a wizard to a user to perform a step-by-step process, each step associated with a step type, the step type being one of confirmation, processing, optional input, or mandatory input, wherein the wizard is capable of presenting a user interface associated with each step in the step-by-step process; executing the wizard process as a batch process by a batch job manager based on a user's first request; and interrupting the batch process based on an associated step type of a current step, the interruption determined by a comparison of the associated step type of the current step to a user parameter, wherein interrupting the batch process comprises: presenting an augmented user interface associated with the current step incorporating at least one user interface element associated with the operations of the batch job manager configured to receive a user's second request; and resuming execution of the batch process based on the user's second request.
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1. A computer-implemented method, comprising: presenting a wizard to a user to perform a step-by-step process, each step associated with a step type, the step type being one of confirmation, processing, optional input, or mandatory input, wherein the wizard is capable of presenting a user interface associated with each step in the step-by-step process; executing the wizard process as a batch process by a batch job manager based on a user's first request; and interrupting the batch process based on an associated step type of a current step, the interruption determined by a comparison of the associated step type of the current step to a user parameter, wherein interrupting the batch process comprises: presenting an augmented user interface associated with the current step incorporating at least one user interface element associated with the operations of the batch job manager configured to receive a user's second request; and resuming execution of the batch process based on the user's second request. 5. The method of claim 1 , where executing the process comprises selecting a step in the process and executing the step.
| 0.588066 |
16. The computer program product of claim 15 , wherein said one or more programmed processor devices performs extracting said one or more first, second, third and fourth features in parallel.
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16. The computer program product of claim 15 , wherein said one or more programmed processor devices performs extracting said one or more first, second, third and fourth features in parallel. 18. The computer program product of claim 16 , wherein said identifying grammatical relations amongst words comprises: traversing said parse tree.
| 0.94437 |
29. In a database system, a method for optimization of a query, the method executed by a processor comprising: generating a search space comprising only left deep nested loop join subtree candidate subplans for executing the query; building a plan for executing the query in the search space based on selecting candidate subplans having favorable execution costs; after a plan has been built, determining whether any left deep nested loop join subtree of the plan should be transformed to a semantically correct bushy tree shape; creating a transformed plan by transforming any left deep nested loop join subtrees determined to need transformation to a semantically correct bushy tree shape; and constructing a query execution plan for executing the query based on the transformed plan.
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29. In a database system, a method for optimization of a query, the method executed by a processor comprising: generating a search space comprising only left deep nested loop join subtree candidate subplans for executing the query; building a plan for executing the query in the search space based on selecting candidate subplans having favorable execution costs; after a plan has been built, determining whether any left deep nested loop join subtree of the plan should be transformed to a semantically correct bushy tree shape; creating a transformed plan by transforming any left deep nested loop join subtrees determined to need transformation to a semantically correct bushy tree shape; and constructing a query execution plan for executing the query based on the transformed plan. 33. The method of claim 29 , wherein said building step includes marking a left deep nested loop subtree requiring transformation to generate a semantically correct query execution plan.
| 0.57213 |
15. The system of claim 12 , wherein the processing electronics are configured to generate the synthesized image sequence based on a previously generated model information.
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15. The system of claim 12 , wherein the processing electronics are configured to generate the synthesized image sequence based on a previously generated model information. 16. The system of claim 15 , wherein the processing electronics are configured to receive the previously generated model information.
| 0.872956 |
11. A communication device programmed to render a graphical context menu on a display screen of the communication device in response to receiving a menu request, said communication device comprising: the display screen configured to render the graphical context menu over an application currently being displayed on the display screen; and a microprocessor in signal communication with the display screen, the microprocessor having a menu program associated therewith for controlling operation of said communication device, said menu program configured to: receive a menu request; select, based on a context of the menu request, a subset of menu items from a complete set of menu items available for the context; determine a number of slots for the graphical context menu based on a number of menu items selected in the subset of menu items; compare the number of slots for the graphical context menu to the number of menu items; obtain at least one filler item from the complete set of menu items, the at least one filler item not being included in the subset of menu items; insert the subset of menu items and the at least one filler menu item into selected slots in the graphical context menu; and render the graphical context menu on the display screen with the menu items and the at least one filler menu item.
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11. A communication device programmed to render a graphical context menu on a display screen of the communication device in response to receiving a menu request, said communication device comprising: the display screen configured to render the graphical context menu over an application currently being displayed on the display screen; and a microprocessor in signal communication with the display screen, the microprocessor having a menu program associated therewith for controlling operation of said communication device, said menu program configured to: receive a menu request; select, based on a context of the menu request, a subset of menu items from a complete set of menu items available for the context; determine a number of slots for the graphical context menu based on a number of menu items selected in the subset of menu items; compare the number of slots for the graphical context menu to the number of menu items; obtain at least one filler item from the complete set of menu items, the at least one filler item not being included in the subset of menu items; insert the subset of menu items and the at least one filler menu item into selected slots in the graphical context menu; and render the graphical context menu on the display screen with the menu items and the at least one filler menu item. 16. The communication device of claim 11 wherein determining the number of slots for the a graphical context menu includes generating a grid in accordance with the number of slots, the grid being one of: a three column by three row grid, a three column by two row grid, and a three column by one row grid.
| 0.5 |
9. The method of claim 1 , further comprising: verifying the digital signature corresponding to the code portion to ensure that the code included in the code portion has not been modified.
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9. The method of claim 1 , further comprising: verifying the digital signature corresponding to the code portion to ensure that the code included in the code portion has not been modified. 10. The method of claim 9 , further comprising: determining a first hash value from the digital signature corresponding to the code portion of the application document; calculating a second hash value for the code portion of the application document; and comparing the first hash value to the second hash value.
| 0.957482 |
7. The system of claim 6 , wherein the processing device is further configured to: receive input from the user interface of the system indicating selection of the first graphical representation from a plurality of graphical representations; and visually identify, in the first portion, the first conversation window or the second conversation window that is associated with the first keyword.
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7. The system of claim 6 , wherein the processing device is further configured to: receive input from the user interface of the system indicating selection of the first graphical representation from a plurality of graphical representations; and visually identify, in the first portion, the first conversation window or the second conversation window that is associated with the first keyword. 8. The system of claim 7 , wherein visually identifying, in the first portion, the first conversation window or the second conversation window that is associated with the first keyword comprises one or more of: highlighting the first conversation window or the second conversation window that is associated with the first keyword, flashing the first conversation window or the second conversation window that are associated with the first keyword, and outlining the first conversation window or the second conversation window that is associated with the first keyword.
| 0.898948 |
1. A method comprising: monitoring by a social networking system one or more actions, each action performed by one or more users of the social networking system, each user having established a connection within the social networking system to at least one other user of the one or more users, the connection stored by the social networking system; receiving an entry from a first user of the one or more users, the received entry comprising a future status for the first user; storing the entry in a data store in association with an account of the first user; generating a plurality of stories, wherein the plurality of stories includes a first story and a second story, the first story being of a first story type comprising a description of a future status of a social networking system user, the first story comprising a description of the future status for the first user and one or more user interface elements for a viewing user to interact with the first story, and the second story being of a second story type, the second story comprising a description of one of the monitored actions comprising a previous status of a second social networking system user; selecting, by a computer system of the social networking system and without the first user's input, at least the first and second stories for display in a news feed of one or more other users of the plurality of users; and transmitting the selected stories for display to the news feed of the one or more other users.
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1. A method comprising: monitoring by a social networking system one or more actions, each action performed by one or more users of the social networking system, each user having established a connection within the social networking system to at least one other user of the one or more users, the connection stored by the social networking system; receiving an entry from a first user of the one or more users, the received entry comprising a future status for the first user; storing the entry in a data store in association with an account of the first user; generating a plurality of stories, wherein the plurality of stories includes a first story and a second story, the first story being of a first story type comprising a description of a future status of a social networking system user, the first story comprising a description of the future status for the first user and one or more user interface elements for a viewing user to interact with the first story, and the second story being of a second story type, the second story comprising a description of one of the monitored actions comprising a previous status of a second social networking system user; selecting, by a computer system of the social networking system and without the first user's input, at least the first and second stories for display in a news feed of one or more other users of the plurality of users; and transmitting the selected stories for display to the news feed of the one or more other users. 12. The method of claim 1 , wherein the first story comprises a natural language description of the future status for the first user.
| 0.569428 |
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