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1. A computer-implemented method comprising: for each of a plurality of devices: receiving position information of the device's position, and receiving one or more contextual information items associated with the position, the received contextual information items related to at least one of the device and a user associated with the device; for a subject location within a premises, determining, at a server, a label for the subject location by applying the contextual information items associated with the subject location to a location model, the location model implemented by a rules engine comprising one or more rules, the one or more rules include at least one of: whether a percentage of the plurality of devices are detected at the subject location within a time period of the plurality of devices receiving a notification of the one or more contextual information items associated with the subject location, whether a percentage of the plurality of devices are detected at the subject location within a time period of a scheduled event, whether device settings are changed for a percentage of the plurality of devices at the subject location, the changes in device settings include at least one of: changing mobile phone ringtone to vibrate, changing incoming call handling rules to direct calls to voicemail directly, and sending an auto-reply message in response to incoming calls or messages, and whether a percentage of the plurality of devices is engaged in predominantly work-related communication or engaged in predominantly personal communication; and storing the label for the subject location in a memory. | 1. A computer-implemented method comprising: for each of a plurality of devices: receiving position information of the device's position, and receiving one or more contextual information items associated with the position, the received contextual information items related to at least one of the device and a user associated with the device; for a subject location within a premises, determining, at a server, a label for the subject location by applying the contextual information items associated with the subject location to a location model, the location model implemented by a rules engine comprising one or more rules, the one or more rules include at least one of: whether a percentage of the plurality of devices are detected at the subject location within a time period of the plurality of devices receiving a notification of the one or more contextual information items associated with the subject location, whether a percentage of the plurality of devices are detected at the subject location within a time period of a scheduled event, whether device settings are changed for a percentage of the plurality of devices at the subject location, the changes in device settings include at least one of: changing mobile phone ringtone to vibrate, changing incoming call handling rules to direct calls to voicemail directly, and sending an auto-reply message in response to incoming calls or messages, and whether a percentage of the plurality of devices is engaged in predominantly work-related communication or engaged in predominantly personal communication; and storing the label for the subject location in a memory. 6. The computer-implemented method of claim 1 , wherein the one or more rules of the rules engine include whether a percentage of the plurality of devices are detected at the subject location within a time period of a scheduled event. | 0.559217 |
1. A method for storing an XML document of a plurality of documents, the method comprising steps of: storing in a persistent repository a persistent representation of the XML document that includes a navigable representation and a streamable representation that is separate from said navigable representation, wherein the XML document includes a tree of nodes in a hierarchical relationship, each node of the tree of nodes having an immediate hierarchical relationship with at least one other node in the tree of nodes, wherein the streamable representation contains nodes of the tree of nodes that are in document order, wherein the navigable representation contains a subset of nodes of the tree of nodes, the subset of nodes including less than all nodes of the tree of nodes, and wherein each particular node of the subset of nodes in the navigable representation includes at least one pointer to content, of said each particular node, that is contained in the streamable representation, and at least one pointer to another node of the subset of nodes in the navigable representation, said at least one pointer to the other node in the navigable representation being one of: a pointer to a parent node of said each particular node, a pointer to a child node of said each particular node, a pointer to a sibling node of said each particular node, or a pointer to a previous sibling node of said each particular node; wherein the steps are performed by one or more computing devices. | 1. A method for storing an XML document of a plurality of documents, the method comprising steps of: storing in a persistent repository a persistent representation of the XML document that includes a navigable representation and a streamable representation that is separate from said navigable representation, wherein the XML document includes a tree of nodes in a hierarchical relationship, each node of the tree of nodes having an immediate hierarchical relationship with at least one other node in the tree of nodes, wherein the streamable representation contains nodes of the tree of nodes that are in document order, wherein the navigable representation contains a subset of nodes of the tree of nodes, the subset of nodes including less than all nodes of the tree of nodes, and wherein each particular node of the subset of nodes in the navigable representation includes at least one pointer to content, of said each particular node, that is contained in the streamable representation, and at least one pointer to another node of the subset of nodes in the navigable representation, said at least one pointer to the other node in the navigable representation being one of: a pointer to a parent node of said each particular node, a pointer to a child node of said each particular node, a pointer to a sibling node of said each particular node, or a pointer to a previous sibling node of said each particular node; wherein the steps are performed by one or more computing devices. 3. The method of claim 1 , wherein the navigable representation contains, for one or more nodes, a pointer to a sibling node that is contained within the navigable representation. | 0.627901 |
8. A system, comprising: a distributed computing environment, comprising: a server comprising one or more hardware processors and memory, and configured to provide a network-based interface for viewing product descriptions; and one or more computing devices comprising one or more hardware processors and memory, and configured to implement a value analyzer and a quality analyzer, wherein the value analyzer is configured to: receive via a network connection to the one or more computers implementing the value analyzer, a plurality of submissions from a plurality of entities, wherein the plurality of submissions each comprise a textual description of an attribute of a product; match a set of the plurality of submissions such that the submission in the set of matched submissions each include textual descriptions of a same product; perform a similarity comparison for each submission of the set of matched submissions, wherein to perform the similarity comparison the value analyzer is configured to: compare a particular submission of the set of matched submissions to a plurality of other submissions of the set of matched submissions; and determine a plurality of data quality scores for the particular submission, wherein each data quality score of the plurality of data quality scores is based on a measure of similarity between the textual description of the attribute of the product included in the particular submission and a textual description of the attribute of the product included in a respective one of the other submissions of the set of matched submissions; calculate, based on the plurality of data quality scores, a calculated data quality score for the quality of the textual description of the attribute of the product included in the submission, wherein the particular submission is from a particular entity of the plurality of entities; wherein the quality analyzer is configured to: rate the particular entity based, at least in part, on the calculated data quality score of the textual description submitted from the particular entity, wherein to rate the particular entity t, the quality analyzer is configured to: combine the calculated data quality score with one or more previously calculated data quality scores of textual descriptions in submissions previously received from the same particular entity to determine a cumulative data quality score of textual descriptions in submissions received from the same particular entity, wherein the particular entity is distinct from the other entities of the plurality of entities; and assign a rating to the particular entity, wherein the rating indicates the particular entity's propensity to provide quality product descriptions. | 8. A system, comprising: a distributed computing environment, comprising: a server comprising one or more hardware processors and memory, and configured to provide a network-based interface for viewing product descriptions; and one or more computing devices comprising one or more hardware processors and memory, and configured to implement a value analyzer and a quality analyzer, wherein the value analyzer is configured to: receive via a network connection to the one or more computers implementing the value analyzer, a plurality of submissions from a plurality of entities, wherein the plurality of submissions each comprise a textual description of an attribute of a product; match a set of the plurality of submissions such that the submission in the set of matched submissions each include textual descriptions of a same product; perform a similarity comparison for each submission of the set of matched submissions, wherein to perform the similarity comparison the value analyzer is configured to: compare a particular submission of the set of matched submissions to a plurality of other submissions of the set of matched submissions; and determine a plurality of data quality scores for the particular submission, wherein each data quality score of the plurality of data quality scores is based on a measure of similarity between the textual description of the attribute of the product included in the particular submission and a textual description of the attribute of the product included in a respective one of the other submissions of the set of matched submissions; calculate, based on the plurality of data quality scores, a calculated data quality score for the quality of the textual description of the attribute of the product included in the submission, wherein the particular submission is from a particular entity of the plurality of entities; wherein the quality analyzer is configured to: rate the particular entity based, at least in part, on the calculated data quality score of the textual description submitted from the particular entity, wherein to rate the particular entity t, the quality analyzer is configured to: combine the calculated data quality score with one or more previously calculated data quality scores of textual descriptions in submissions previously received from the same particular entity to determine a cumulative data quality score of textual descriptions in submissions received from the same particular entity, wherein the particular entity is distinct from the other entities of the plurality of entities; and assign a rating to the particular entity, wherein the rating indicates the particular entity's propensity to provide quality product descriptions. 9. The system of claim 8 , wherein the quality analyzer is further configured to adjust the particular entity's rating based, at least in part, on a second data quality score calculated for a second textual description received in another submission from the particular entity. | 0.874175 |
11. An apparatus for analyzing data, the apparatus comprising: a memory; and at least one processor coupled to the memory, the at least one processor being configured: to generate, by an entity, a query based at least in part on a topic of interest; to execute the query on a plurality of data sources; to select, by the entity, a data source from the plurality of data sources for monitoring based on a correlation between the data source and the topic of interest, the correlation determined based on results of the executed query; to monitor, based on a set schedule, the data source for matches to the query to extract data from the data source when at least an update to stored data matches the query, newly added data matches the query, or a combination thereof; to extract data from the data source when at least the update to the stored data matches the query, the newly added data matches the query, or the combination thereof; to determine an extraction rate for extracting the data, the extraction rate indicating an amount of the data that is extracted over a first time period; to determine a first processing rate for processing the extracted data with a number of parallel processors, the first processing rate indicating an amount of extracted data that is processed over a second time period; to dynamically adjust the number of parallel processors for analyzing the extracted data based on the extraction rate to obtain a second processing rate that is greater than the first processing rate; to analyze, with the parallel processors, the extracted data to determine at least one of a sentiment, an index, a pattern, or a combination thereof; to establish a two-way communication channel, between at least the entity that selected the data source for monitoring and a user device of a user that provided the data to the data source, based on the analysis of the extracted data; to transmit, from the entity via the two-way communication channel, a first message directed to the user device based on the analysis of the extracted data; and to receive, from the user device via the two-way communication channel, a second message in response to the first message directed to the user device. | 11. An apparatus for analyzing data, the apparatus comprising: a memory; and at least one processor coupled to the memory, the at least one processor being configured: to generate, by an entity, a query based at least in part on a topic of interest; to execute the query on a plurality of data sources; to select, by the entity, a data source from the plurality of data sources for monitoring based on a correlation between the data source and the topic of interest, the correlation determined based on results of the executed query; to monitor, based on a set schedule, the data source for matches to the query to extract data from the data source when at least an update to stored data matches the query, newly added data matches the query, or a combination thereof; to extract data from the data source when at least the update to the stored data matches the query, the newly added data matches the query, or the combination thereof; to determine an extraction rate for extracting the data, the extraction rate indicating an amount of the data that is extracted over a first time period; to determine a first processing rate for processing the extracted data with a number of parallel processors, the first processing rate indicating an amount of extracted data that is processed over a second time period; to dynamically adjust the number of parallel processors for analyzing the extracted data based on the extraction rate to obtain a second processing rate that is greater than the first processing rate; to analyze, with the parallel processors, the extracted data to determine at least one of a sentiment, an index, a pattern, or a combination thereof; to establish a two-way communication channel, between at least the entity that selected the data source for monitoring and a user device of a user that provided the data to the data source, based on the analysis of the extracted data; to transmit, from the entity via the two-way communication channel, a first message directed to the user device based on the analysis of the extracted data; and to receive, from the user device via the two-way communication channel, a second message in response to the first message directed to the user device. 14. The apparatus of claim 11 , in which the plurality of data sources include open-source data sources that are publically available and closed-source data sources that are not publically accessible. | 0.555265 |
1. An animation authoring apparatus comprising: a storyboard editor that comprises a storyboard editing display to interact with a user, to edit a storyboard, and to store the edited storyboard, wherein the storyboard comprises scene information, a screen shot for each cut, a screenplay, and a directing adjustment window to enable a user to adjust a directing value for a line or edited object of the storyboard editing display, all being displayed on the storyboard at the same time; a parser to parse syntax of the edited storyboard; and a rendering engine to convert the edited storyboard into a graphic animation based on the parsed syntax of the edited storyboard. | 1. An animation authoring apparatus comprising: a storyboard editor that comprises a storyboard editing display to interact with a user, to edit a storyboard, and to store the edited storyboard, wherein the storyboard comprises scene information, a screen shot for each cut, a screenplay, and a directing adjustment window to enable a user to adjust a directing value for a line or edited object of the storyboard editing display, all being displayed on the storyboard at the same time; a parser to parse syntax of the edited storyboard; and a rendering engine to convert the edited storyboard into a graphic animation based on the parsed syntax of the edited storyboard. 4. The apparatus of claim 1 , further comprising an image output unit to display the graphic animation, the image output unit including an interface to edit the graphic animation through interaction with the user. | 0.61512 |
12. A system comprising: a speech-to-text engine implemented at least partially in hardware of a computing device to receive a natural language input indicative of an operation to be performed and to convert the natural language input into text; and a natural language processing module implemented at least partially in hardware of the computing device to: parse the text into at least one part-of-speech; locate at least one grammar template of a plurality of grammar templates that correspond to the at least one part-of-speech by matching the part-of-speech against a sentence expression defined by each of the plurality of grammar templates, the at least one grammar template selected based on a scoring mechanism; detect an arbitrary term in the at least one part-of-speech based on the located grammar template; identify a known operational term in the at least one part-of-speech, the known operational term corresponding to the operation to be performed; determine a term that is related to the arbitrary term based on matching the sentence expression of the at least one grammar template against the known operational term, the term describing a modification for the operation to be performed and selected from a set of base terms corresponding to the known operational term; and initiate performance of the operation as including the modification described by the term. | 12. A system comprising: a speech-to-text engine implemented at least partially in hardware of a computing device to receive a natural language input indicative of an operation to be performed and to convert the natural language input into text; and a natural language processing module implemented at least partially in hardware of the computing device to: parse the text into at least one part-of-speech; locate at least one grammar template of a plurality of grammar templates that correspond to the at least one part-of-speech by matching the part-of-speech against a sentence expression defined by each of the plurality of grammar templates, the at least one grammar template selected based on a scoring mechanism; detect an arbitrary term in the at least one part-of-speech based on the located grammar template; identify a known operational term in the at least one part-of-speech, the known operational term corresponding to the operation to be performed; determine a term that is related to the arbitrary term based on matching the sentence expression of the at least one grammar template against the known operational term, the term describing a modification for the operation to be performed and selected from a set of base terms corresponding to the known operational term; and initiate performance of the operation as including the modification described by the term. 14. The system as described in claim 12 , wherein the operation to be performed is one or more image editing operations. | 0.539972 |
7. The method of claim 1 , further comprising: generating conditional decrypt criteria; and inserting the conditional decrypt criteria into a preamble, said preamble located in an encrypted block of the plurality of encrypted blocks. | 7. The method of claim 1 , further comprising: generating conditional decrypt criteria; and inserting the conditional decrypt criteria into a preamble, said preamble located in an encrypted block of the plurality of encrypted blocks. 8. The method of claim 7 , wherein generating conditional decrypt criteria includes generating a time-before condition. | 0.938718 |
2. The method according to claim 1 , comprising displaying the captured image, and f) digital image filtering of the captured image including contrast enhancement, shadow compensation, unwarping and rotation of the captured image in order to obtain an artifact reduced image with a substantially horizontal text alignment, wherein the detection of the plurality of word blocks is based on the artifact reduced image; g) performing OCR within each word block to get its text content; h) assigning to each A-block an attribute; i) indicating the A-blocks in the display by a frame or a background color and displaying their attributes as overlays within the artifact reduced and displayed image for the selection of the keyword; j) the selection of the A-block containing the keyword being based on the displayed attribute of the keyword; and k) upon the selection of the A-block, displaying the text content of the selected A-block. | 2. The method according to claim 1 , comprising displaying the captured image, and f) digital image filtering of the captured image including contrast enhancement, shadow compensation, unwarping and rotation of the captured image in order to obtain an artifact reduced image with a substantially horizontal text alignment, wherein the detection of the plurality of word blocks is based on the artifact reduced image; g) performing OCR within each word block to get its text content; h) assigning to each A-block an attribute; i) indicating the A-blocks in the display by a frame or a background color and displaying their attributes as overlays within the artifact reduced and displayed image for the selection of the keyword; j) the selection of the A-block containing the keyword being based on the displayed attribute of the keyword; and k) upon the selection of the A-block, displaying the text content of the selected A-block. 12. The method according to claim 2 , wherein (e) comprises an automatic or semi-automatic correction of the text content of the selected A-block containing the keyword, before forwarding it as the text input to the current application. | 0.826821 |
19. An apparatus for adapting a model for a speech recognition system using an adaptation process, the apparatus comprising: a processor that is operable to determine an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words among a set of words; and a controller that is operable to adjust an adaptation process for the model for the word or various models for the various words, based on the error rate. | 19. An apparatus for adapting a model for a speech recognition system using an adaptation process, the apparatus comprising: a processor that is operable to determine an error rate, corresponding to either recognition of instances of a word or recognition of instances of various words among a set of words; and a controller that is operable to adjust an adaptation process for the model for the word or various models for the various words, based on the error rate. 27. The apparatus of claim 19 , wherein the error rate threshold is a dynamic value. | 0.655803 |
2. The method of claim 1 , wherein the source code comprises graphical user interface (GUI) code, application framework code, the event handler code, and application business logic code. | 2. The method of claim 1 , wherein the source code comprises graphical user interface (GUI) code, application framework code, the event handler code, and application business logic code. 4. The method of claim 2 , further comprising providing a framework for finalizing the source code using an event handler skeleton, business logic code, and GUI code. | 0.868743 |
1. A computer-readable medium having computer-executable instructions for performing the steps of: receiving a layout selection command corresponding to a predefined layout for a document; the layout comprising a predefined set of objects, each object having a set of object properties for defining a visible element of the document; each object property having a propagation code associated with an object propagation rule for coordinating that object property with a predefined set of other object properties, wherein the propagation codes and their associated rules are stored within an object propagation rule table; receiving a publication definition command setting an object property definition for a first one of the object properties; using the object propagation code associated with the first object property to retrieve the propagation rule for the first object property from the object propagation rule table; and propagating the object property definition for the first object property to a predefined group of the objects in accordance with the propagation rule for the first object property. | 1. A computer-readable medium having computer-executable instructions for performing the steps of: receiving a layout selection command corresponding to a predefined layout for a document; the layout comprising a predefined set of objects, each object having a set of object properties for defining a visible element of the document; each object property having a propagation code associated with an object propagation rule for coordinating that object property with a predefined set of other object properties, wherein the propagation codes and their associated rules are stored within an object propagation rule table; receiving a publication definition command setting an object property definition for a first one of the object properties; using the object propagation code associated with the first object property to retrieve the propagation rule for the first object property from the object propagation rule table; and propagating the object property definition for the first object property to a predefined group of the objects in accordance with the propagation rule for the first object property. 4. The computer-readable medium of claim 1, wherein: the layout further comprises a plurality of components, each component comprising a plurality of the objects; each object having an associated identifier; and the propagation rule comprises propagating the object property definition for the first object property to the objects with the same identifier in the document. | 0.808832 |
15. A computer readable storage medium having program code stored thereon, wherein the program code is arranged so that, when the program code is executed by a computer, a note is displayed, the note has contents and a location, and at least a representation of the contents of the note and the location of the note are added to an index, wherein the location of the note added to the index is with respect to an object within a window. | 15. A computer readable storage medium having program code stored thereon, wherein the program code is arranged so that, when the program code is executed by a computer, a note is displayed, the note has contents and a location, and at least a representation of the contents of the note and the location of the note are added to an index, wherein the location of the note added to the index is with respect to an object within a window. 16. The computer readable storage medium of claim 15 wherein the object is a word. | 0.700974 |
21. A method to embed a security feature into an identification document identifying a holder of the identification document, the method comprising: applying a laser beam on a portion of a metalized structure embedded within an identification document, the metalized structure comprising an opaque material and being embedded below an external surface of the identification document; removing metal from the portion of metalized structure in response to applying the laser beam; and creating a spatial pattern in the metalized structure by applying the laser beam to at least one more portion of the metalized structure, the created spatial pattern comprising one or more features that correspond to identification information associated with the holder of the identification document and visible from a front side and a rear side of the identification document. | 21. A method to embed a security feature into an identification document identifying a holder of the identification document, the method comprising: applying a laser beam on a portion of a metalized structure embedded within an identification document, the metalized structure comprising an opaque material and being embedded below an external surface of the identification document; removing metal from the portion of metalized structure in response to applying the laser beam; and creating a spatial pattern in the metalized structure by applying the laser beam to at least one more portion of the metalized structure, the created spatial pattern comprising one or more features that correspond to identification information associated with the holder of the identification document and visible from a front side and a rear side of the identification document. 22. The method of claim 21 , wherein applying the laser beam comprises: configuring the laser beam at a lower energy state relative to an energy state of a laser beam configured for a laser engraving operation; and maintaining a structural integrity of layers within the identification document upon applying the laser beam having the lower energy state to the metalized structure. | 0.560092 |
33. One or more computer-readable non-transitory storage media embodying software that is configured when executed to: building a profile for an end user based on collectively learned preferences of the end user, the profile comprising a set of keywords and a weight assigned to each keyword in the set of keywords; receive information identifying sensor data associated with a specific sensor among a plurality of sensor data from a plurality of sensors, the plurality of sensor data being indexed according to a multi-dimensional array, one or more first ones of the dimensions comprising time and one or more second ones of the dimensions comprising one or more pre-determined sensor-data attributes, the translated query having been translated from an original query for particular sensor data, the translated query comprising an unique resource locator specifying the specific sensor of the plurality of sensors, the translated query comprising one or more values for one or more of the dimensions of the multi-dimensional array; generate one or more multi-dimensional-array filters based on the translated query; determine that the translated query is not accurate; modify the translated query based on the profile for the end user to provide a more relevant response to the translated query; apply the one or more multi-dimensional-array filters to the plurality of sensor data as indexed to identify the sensor data associated with the specific sensor among a plurality of sensor data for a response to the modified translated query; sort the information based on one or more preferences in the profile for the end user to provide a representation expected by the end user, wherein sorting the information comprises ordering the information such that the information that is most relevant to the user is displayed first; and communicate the information as sorted for display to the end user, the display of the information providing a response to the original query, wherein communicating the sorted information for display comprises: rendering a page comprising multiple panels on the user's display; determining, for each sensor data in the sorted information, which panel the sensor data is most relevant to; and rendering each sensor data in the determined most relevant panel. | 33. One or more computer-readable non-transitory storage media embodying software that is configured when executed to: building a profile for an end user based on collectively learned preferences of the end user, the profile comprising a set of keywords and a weight assigned to each keyword in the set of keywords; receive information identifying sensor data associated with a specific sensor among a plurality of sensor data from a plurality of sensors, the plurality of sensor data being indexed according to a multi-dimensional array, one or more first ones of the dimensions comprising time and one or more second ones of the dimensions comprising one or more pre-determined sensor-data attributes, the translated query having been translated from an original query for particular sensor data, the translated query comprising an unique resource locator specifying the specific sensor of the plurality of sensors, the translated query comprising one or more values for one or more of the dimensions of the multi-dimensional array; generate one or more multi-dimensional-array filters based on the translated query; determine that the translated query is not accurate; modify the translated query based on the profile for the end user to provide a more relevant response to the translated query; apply the one or more multi-dimensional-array filters to the plurality of sensor data as indexed to identify the sensor data associated with the specific sensor among a plurality of sensor data for a response to the modified translated query; sort the information based on one or more preferences in the profile for the end user to provide a representation expected by the end user, wherein sorting the information comprises ordering the information such that the information that is most relevant to the user is displayed first; and communicate the information as sorted for display to the end user, the display of the information providing a response to the original query, wherein communicating the sorted information for display comprises: rendering a page comprising multiple panels on the user's display; determining, for each sensor data in the sorted information, which panel the sensor data is most relevant to; and rendering each sensor data in the determined most relevant panel. 38. The media of claim 33 , wherein the relevance of each sensor data is determined at least in part by the reputation of the sensor data originator. | 0.541924 |
2. The computer program product of claim 1 , further comprising parsing based on the type of the entity. | 2. The computer program product of claim 1 , further comprising parsing based on the type of the entity. 7. The computer program product of claim 2 , further comprising parsing based on user configuration. | 0.956911 |
1. A tangible storage medium having computer readable program code for performing data profiling, comprising: a first set of instructions, stored in at least one computer readable storage medium and executable by at least one processing unit, that tags instruction instances, that may consume execution time based on loading of data, with identifiers that describe the instruction instances with source-level data object language constructs; a second set of instructions, stored in the at least one computer readable storage medium and executable by the at least one processing unit, that identifies an instruction instance of the tagged instruction instances that corresponds to a runtime event detected in execution of code that includes the identified instruction instance; a third set of instructions, stored in the at least one computer readable storage medium and executable by the at least one processing unit, that attributes the runtime event detected to source-level data objects describing units of data identifiable in source code, wherein the attributing is based at least in part on a predefined association between the identified instruction instance in executable code and the source-level data object language construct corresponding thereto. | 1. A tangible storage medium having computer readable program code for performing data profiling, comprising: a first set of instructions, stored in at least one computer readable storage medium and executable by at least one processing unit, that tags instruction instances, that may consume execution time based on loading of data, with identifiers that describe the instruction instances with source-level data object language constructs; a second set of instructions, stored in the at least one computer readable storage medium and executable by the at least one processing unit, that identifies an instruction instance of the tagged instruction instances that corresponds to a runtime event detected in execution of code that includes the identified instruction instance; a third set of instructions, stored in the at least one computer readable storage medium and executable by the at least one processing unit, that attributes the runtime event detected to source-level data objects describing units of data identifiable in source code, wherein the attributing is based at least in part on a predefined association between the identified instruction instance in executable code and the source-level data object language construct corresponding thereto. 15. The tangible storage medium having computer readable program code of claim 1 , further comprising: a fourth set of instructions, stored in the at least one computer readable storage medium and executable by the at least one processing unit, that aggregates profile data for the code based on the source-level data object language construct representation. | 0.5 |
35. A computer-aided group-learning method as recited in claim 34 further comprising the step of obtaining inputs from a potential user for determining whether the potential user can join the one or more existing users to work on the subject. | 35. A computer-aided group-learning method as recited in claim 34 further comprising the step of obtaining inputs from a potential user for determining whether the potential user can join the one or more existing users to work on the subject. 36. A computer-aided group-learning method as recited in claim 35 wherein the determination depends on inputs from one or more of the existing users, who can discuss the determination in a dialogue session. | 0.846654 |
10. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: performing a first pass of entries in a database to generate a shortlist of the entries, the first pass comprising: utilizing a phonotactic grammar to perform speech recognition on received speech and to generate a phoneme lattice, wherein the utilizing ignores inter-field constraints of the phonotactic grammar; and generating the shortlist of the entries in the database based on a normalization of the phoneme lattice; and performing a second pass on the shortlist of the entries in the database to obtain a final result, the second pass comprising: generating a grammar from the shortlist of the entries in the database, to yield a generated grammar having inter-field constraints; and identifying data from the database for each of the input field based on the received speech, the generated grammar, and the inter-field constraints. | 10. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: performing a first pass of entries in a database to generate a shortlist of the entries, the first pass comprising: utilizing a phonotactic grammar to perform speech recognition on received speech and to generate a phoneme lattice, wherein the utilizing ignores inter-field constraints of the phonotactic grammar; and generating the shortlist of the entries in the database based on a normalization of the phoneme lattice; and performing a second pass on the shortlist of the entries in the database to obtain a final result, the second pass comprising: generating a grammar from the shortlist of the entries in the database, to yield a generated grammar having inter-field constraints; and identifying data from the database for each of the input field based on the received speech, the generated grammar, and the inter-field constraints. 11. The system of claim 10 , the computer-readable storage medium having additional instructions stored which, when executed by the processor, result in operations comprising: generating an index to the entries in the database based on a plurality of training phoneme lattices and factors of interest from valid entries in the database, wherein the factors of interest comprise trigrams; wherein the identifying of the data from the database is further based on the index. | 0.5 |
52. The data processing system of claim 49 wherein the user is enabled to select a new pre-determined semantic definition for association with a user-defined text search term where the proper term association record does not already exist within the text index. | 52. The data processing system of claim 49 wherein the user is enabled to select a new pre-determined semantic definition for association with a user-defined text search term where the proper term association record does not already exist within the text index. 53. The data processing system of claim 52 wherein a new term association record is created within the text index based upon the selection of a new pre-determined semantic definition for association with the user-defined text search term. | 0.933502 |
1. A method comprising: identifying a pair of anchor words separated from one another within a media presentation by a time greater than an anchor word time duration requirement; aligning a transcription of the media presentation with an automatic speech recognition output of the media presentation according to the pair of anchor words to yield an alignment; generating, by a caption generation module, captions at respective timings within the media presentation based on the alignment to yield generated captions; and outputting a modified media presentation based on the media presentation and the generated captions. | 1. A method comprising: identifying a pair of anchor words separated from one another within a media presentation by a time greater than an anchor word time duration requirement; aligning a transcription of the media presentation with an automatic speech recognition output of the media presentation according to the pair of anchor words to yield an alignment; generating, by a caption generation module, captions at respective timings within the media presentation based on the alignment to yield generated captions; and outputting a modified media presentation based on the media presentation and the generated captions. 8. The method of claim 1 , wherein the media presentation is in real-time, the method further comprising: buffering the media presentation to yield a delayed media presentation; and outputting the delayed media presentation and the captions together. | 0.677778 |
1. A method of analyzing dialogs, the method comprising: receiving, via a processor, call-logs associated with a plurality of dialogs between a dialog system and users and external information about at least one user; extracting a first portion of turn-by-turn details of dialogs from the call-logs comprising at least a time stamp associated with a turn in the plurality of dialogs; inferring a second portion of the turn-by-turn details unavailable in the call-logs based on the first portion of the turn-by-turn details using a call-flow specification as a guide, the second portion of the turn-by-turn details comprising an interleaved sequence of at least two attributes that characterize a system state and a user response; and generating, from the first portion of the turn-by-turn details, the external information about the user, and the second portion of the turn-by-turn details, an empirical call-flow representation of the dialog. | 1. A method of analyzing dialogs, the method comprising: receiving, via a processor, call-logs associated with a plurality of dialogs between a dialog system and users and external information about at least one user; extracting a first portion of turn-by-turn details of dialogs from the call-logs comprising at least a time stamp associated with a turn in the plurality of dialogs; inferring a second portion of the turn-by-turn details unavailable in the call-logs based on the first portion of the turn-by-turn details using a call-flow specification as a guide, the second portion of the turn-by-turn details comprising an interleaved sequence of at least two attributes that characterize a system state and a user response; and generating, from the first portion of the turn-by-turn details, the external information about the user, and the second portion of the turn-by-turn details, an empirical call-flow representation of the dialog. 15. The method of claim 1 , further comprising: compressing the empirical call-flow representation of the plurality of dialogs. | 0.638541 |
9. A method for updating a social graph comprising: accessing a social graph of a subject user, the social graph comprising a plurality of nodes, the plurality of nodes including a focal node representing the subject user, a remainder of the plurality of nodes each representing one or more objects having a relationship with the subject user; learning a social routine of the subject user using interactions between the subject user and the remainder of the plurality of nodes; calculating a relevance score for each node of the remainder of the plurality of nodes, the relevance score for a given node being an indicator of an amount or frequency of interaction between the subject user and the given node, wherein the relevance score is based at least in part on at least one of: a frequency with which the subject user accesses a social network account, a frequency with which the subject user uses a particular application, a frequency with which the subject user interacts with members of a social network service, and a frequency with which the subject user interacts with the one or more objects having a relationship with the subject user; determining a particular node lacks relevance to the subject user based on the particular node being associated with a particular relevance score having a value below a predefined threshold; and in response to the determining the particular node lacks relevance to the subject user based on the particular relevance score having a value below the predefined threshold, eliminating the relationship of the subject user with the particular node by removing the particular node from the social graph to produce a maintained social graph. | 9. A method for updating a social graph comprising: accessing a social graph of a subject user, the social graph comprising a plurality of nodes, the plurality of nodes including a focal node representing the subject user, a remainder of the plurality of nodes each representing one or more objects having a relationship with the subject user; learning a social routine of the subject user using interactions between the subject user and the remainder of the plurality of nodes; calculating a relevance score for each node of the remainder of the plurality of nodes, the relevance score for a given node being an indicator of an amount or frequency of interaction between the subject user and the given node, wherein the relevance score is based at least in part on at least one of: a frequency with which the subject user accesses a social network account, a frequency with which the subject user uses a particular application, a frequency with which the subject user interacts with members of a social network service, and a frequency with which the subject user interacts with the one or more objects having a relationship with the subject user; determining a particular node lacks relevance to the subject user based on the particular node being associated with a particular relevance score having a value below a predefined threshold; and in response to the determining the particular node lacks relevance to the subject user based on the particular relevance score having a value below the predefined threshold, eliminating the relationship of the subject user with the particular node by removing the particular node from the social graph to produce a maintained social graph. 12. The method of claim 9 , wherein the one or more objects represent one or more members of a social network and wherein the relationship with the subject user is a social network connection. | 0.900924 |
17. The method of claim 1 , comprising: receiving the plurality of data files, the plurality of data files being text documents; and generating the list that includes the key terms, the key terms being words, phrases, sentences, or symbols. | 17. The method of claim 1 , comprising: receiving the plurality of data files, the plurality of data files being text documents; and generating the list that includes the key terms, the key terms being words, phrases, sentences, or symbols. 18. The method of claim 17 , further comprising: using the rule set to perform text categorization or generate search strings for a search engine. | 0.92896 |
1. A document generation system for producing a document from information derived from an information repository, comprising: a source of code representing a document template including, data fields containing placeholder items to be replaced by desired data items, and also including a repetition identifier indicating one of said data fields is to be replicated to provide a group of data fields to be replaced by a plurality of said desired data items; a source of document generation control information supporting insertion of said desired data items derived from said information repository in said data fields; and a document processor for applying said control information in replacing template document data field placeholder items with desired data items, to produce a generated document. | 1. A document generation system for producing a document from information derived from an information repository, comprising: a source of code representing a document template including, data fields containing placeholder items to be replaced by desired data items, and also including a repetition identifier indicating one of said data fields is to be replicated to provide a group of data fields to be replaced by a plurality of said desired data items; a source of document generation control information supporting insertion of said desired data items derived from said information repository in said data fields; and a document processor for applying said control information in replacing template document data field placeholder items with desired data items, to produce a generated document. 5. The system according to claim 1 , wherein said repetition identifier comprises a Rich Text Format (RTF) compatible Bookmark. | 0.727602 |
9. A system comprising: at least one processor and at least one memory connected to the at least one processor, the at least one memory configured with instructions which, when executed by the at least one processor, cause the at least one processor to perform the following steps: process a search query by selecting a plurality of item listings that are determined to satisfy the search query; determine an initial ranking score for each item listing in the plurality of item listings; determine that a conditional statement of a business rule is satisfied for a first item listing, wherein the conditional statement provides that the conditional statement is satisfied if a shipping fee specified by the first item listing is less than or equal to a median or a mode of shipping fees for a set of item listings offering items determined to be similar to a first item being offered by the first item listing, wherein the determination that the conditional statement of the business rule is satisfied includes a calculation of the mode or the median of the shipping fees; responsive to determining that the conditional statement of the business rule is satisfied for the first item listing, adjust an initial ranking score for the first item listing with an adjustment factor included in the business rule to generate an adjusted ranking score for the first item listing; present a set of the plurality of item listings in a search results page with the first item listing positioned relative to other item listings in the set based, at least in part, on the adjusted ranking score for the first item listing and an initial ranking score or an adjusted ranking score for each of the other item listings. | 9. A system comprising: at least one processor and at least one memory connected to the at least one processor, the at least one memory configured with instructions which, when executed by the at least one processor, cause the at least one processor to perform the following steps: process a search query by selecting a plurality of item listings that are determined to satisfy the search query; determine an initial ranking score for each item listing in the plurality of item listings; determine that a conditional statement of a business rule is satisfied for a first item listing, wherein the conditional statement provides that the conditional statement is satisfied if a shipping fee specified by the first item listing is less than or equal to a median or a mode of shipping fees for a set of item listings offering items determined to be similar to a first item being offered by the first item listing, wherein the determination that the conditional statement of the business rule is satisfied includes a calculation of the mode or the median of the shipping fees; responsive to determining that the conditional statement of the business rule is satisfied for the first item listing, adjust an initial ranking score for the first item listing with an adjustment factor included in the business rule to generate an adjusted ranking score for the first item listing; present a set of the plurality of item listings in a search results page with the first item listing positioned relative to other item listings in the set based, at least in part, on the adjusted ranking score for the first item listing and an initial ranking score or an adjusted ranking score for each of the other item listings. 12. The system of claim 9 , wherein the initial ranking score associated with an item listing is to be adjusted when a seller of an item offered via the item listing has a reputation score that exceeds a threshold score. | 0.568716 |
11. A computer-readable memory device storing instructions that, when executed by a computing device, cause the computing device to perform operations for translating user input into at least one word having multiple characters, the operations comprising: displaying a set of characters on a display, wherein each character has a relative position with respect to every other character on the display; receiving an indication of a starting position; receiving a sequence of two or more user inputs via an input device, wherein the input device is configured to receive indications of a direction; creating a pattern of relative directions by: determining a relative direction between the starting position and the first user input; and determining an ordered set of subsequent relative directions corresponding to each of the two or more user inputs after the first user input; and matching the pattern of relative directions to one or more stored words, wherein the stored words contain an indication of a first position and a set of subsequent relative positions of each letter in the word, each of the subsequent relative positions relative to the position, on the display, of the previous letter, and wherein the matching is performed by: determining that the indication of the first position, for each of the matching stored words, corresponds to the starting position; and determining that the set of subsequent relative positions of each letter in the word, for each of the matching stored words, at least partially matches the ordered set of subsequent relative directions; wherein determining that the set of subsequent relative positions of each letter in the word, for each of the matching stored words, at least partially matches the ordered set of subsequent relative directions is performed without regard to the absolute positions of the characters on the display. | 11. A computer-readable memory device storing instructions that, when executed by a computing device, cause the computing device to perform operations for translating user input into at least one word having multiple characters, the operations comprising: displaying a set of characters on a display, wherein each character has a relative position with respect to every other character on the display; receiving an indication of a starting position; receiving a sequence of two or more user inputs via an input device, wherein the input device is configured to receive indications of a direction; creating a pattern of relative directions by: determining a relative direction between the starting position and the first user input; and determining an ordered set of subsequent relative directions corresponding to each of the two or more user inputs after the first user input; and matching the pattern of relative directions to one or more stored words, wherein the stored words contain an indication of a first position and a set of subsequent relative positions of each letter in the word, each of the subsequent relative positions relative to the position, on the display, of the previous letter, and wherein the matching is performed by: determining that the indication of the first position, for each of the matching stored words, corresponds to the starting position; and determining that the set of subsequent relative positions of each letter in the word, for each of the matching stored words, at least partially matches the ordered set of subsequent relative directions; wherein determining that the set of subsequent relative positions of each letter in the word, for each of the matching stored words, at least partially matches the ordered set of subsequent relative directions is performed without regard to the absolute positions of the characters on the display. 14. The computer-readable memory device of claim 11 wherein at least one of the multiple characters in the at least one word is not independently discernible from a corresponding one of the sequence of two or more user inputs without reference to the previous user input. | 0.532186 |
14. The system of claim 13, wherein selecting at least one variable of the selected constraint and selecting a new value for each selected variable comprise: altering, for one or more variables of the selected constraint, the current values of the variables to generate an altered current assignment; computing a score for the altered current assignment; ranking the scores for one or more altered current assignments; and selecting the variable and the new value for each selected variable according to the ranking. | 14. The system of claim 13, wherein selecting at least one variable of the selected constraint and selecting a new value for each selected variable comprise: altering, for one or more variables of the selected constraint, the current values of the variables to generate an altered current assignment; computing a score for the altered current assignment; ranking the scores for one or more altered current assignments; and selecting the variable and the new value for each selected variable according to the ranking. 15. The system of claim 14, wherein altering the current value of a variable further comprises changing its value to another value from the domain of the variable to improve the score of the current assignment. | 0.91038 |
6. The method of claim 1 , wherein the communication comprises a nonverbal communication. | 6. The method of claim 1 , wherein the communication comprises a nonverbal communication. 7. The method of claim 6 , wherein the nonverbal communication comprises at least one of a gesture, a body movement, a head movement, a non-response, text, a keyboard entry, a keypad entry, a mouse click, a DTMF code, a pointer, a stylus, a cable set-top box entry, a graphical user interface entry, and a touchscreen entry. | 0.853207 |
10. A method comprising: accessing a document that references a file in which scroll rates that correspond to the document are stored, the scroll rates stored in the file each corresponding to a different portion among multiple portions of the document, a scroll rate among the scroll rates indicating a speed at which its corresponding portion of the document is to be automatically scrolled, the file further storing a directive that corresponds to the corresponding portion of the document and indicates an action, other than setting a delay time for scrolling, to be performed; accessing the file referenced by the document; and using a processor, automatically scrolling the document at different speeds based on the scroll rates that are specified by the file referenced by the document, the automatic scrolling of the document comprising: automatically scrolling the portion of the document at its corresponding scroll rate specified by the referenced file; and performing the action indicated by the directive that corresponds to the portion of the document. | 10. A method comprising: accessing a document that references a file in which scroll rates that correspond to the document are stored, the scroll rates stored in the file each corresponding to a different portion among multiple portions of the document, a scroll rate among the scroll rates indicating a speed at which its corresponding portion of the document is to be automatically scrolled, the file further storing a directive that corresponds to the corresponding portion of the document and indicates an action, other than setting a delay time for scrolling, to be performed; accessing the file referenced by the document; and using a processor, automatically scrolling the document at different speeds based on the scroll rates that are specified by the file referenced by the document, the automatic scrolling of the document comprising: automatically scrolling the portion of the document at its corresponding scroll rate specified by the referenced file; and performing the action indicated by the directive that corresponds to the portion of the document. 15. The method of claim 10 , wherein: the portion of the document is adjacent to a further portion of the document; and the determining of the scroll rate is based on a further scroll rate that corresponds to the adjacent further portion of the document. | 0.591079 |
1. A document preparation system comprising: a computer processor; a taxonomy module including one or more taxonomies having one or more concepts; a document editor module that facilitates: tagging of one or more entries of a document with one or more tags based on the concepts to produce a tagged document, and generating, by the computer processor, an instance document from the tagged document, the instance document including code corresponding to the tagged one or more entries of the document; a document validation system that validates the generated instance document and generates a status indication corresponding to the code included in the instance document; a validation report processing module that associates the status indication with a specific source among the one or more tagged entries of the document according to the generated instance document; and a user interface module that identifies and facilitates editing the specific source among the one or more tagged entries of the document. | 1. A document preparation system comprising: a computer processor; a taxonomy module including one or more taxonomies having one or more concepts; a document editor module that facilitates: tagging of one or more entries of a document with one or more tags based on the concepts to produce a tagged document, and generating, by the computer processor, an instance document from the tagged document, the instance document including code corresponding to the tagged one or more entries of the document; a document validation system that validates the generated instance document and generates a status indication corresponding to the code included in the instance document; a validation report processing module that associates the status indication with a specific source among the one or more tagged entries of the document according to the generated instance document; and a user interface module that identifies and facilitates editing the specific source among the one or more tagged entries of the document. 9. The document preparation system of claim 1 , wherein the user interface facilitates navigation of the document to identify and edit the specific source among the one or more tagged entries of the document via autoscrolling the document to the one or more tagged entries. | 0.530446 |
1. A method for creating notes associated with a document, the method comprising: accessing the document, the document associated with a table of contents listing a plurality of headers extracted from the document and defining a structure of a plurality of sections of the document, wherein each header corresponds to a section of the document defined by the table of contents and comprises a textual description of the section, and wherein the document is configured to be rendered by an eReader browser application; sending for display to a user, a note window within a user interface of the eReader browser application; receiving a user input to generate a note in connection with the note window, the user input indicating a location within the document; linking the note window to a section of the document based on the user input, the linked section of the document including the indicated location and corresponding to one of the headers; adding the note to a note region in a note object, the note region associated with the linked section of the document; and accessing the note using the header corresponding to the linked section of the document. | 1. A method for creating notes associated with a document, the method comprising: accessing the document, the document associated with a table of contents listing a plurality of headers extracted from the document and defining a structure of a plurality of sections of the document, wherein each header corresponds to a section of the document defined by the table of contents and comprises a textual description of the section, and wherein the document is configured to be rendered by an eReader browser application; sending for display to a user, a note window within a user interface of the eReader browser application; receiving a user input to generate a note in connection with the note window, the user input indicating a location within the document; linking the note window to a section of the document based on the user input, the linked section of the document including the indicated location and corresponding to one of the headers; adding the note to a note region in a note object, the note region associated with the linked section of the document; and accessing the note using the header corresponding to the linked section of the document. 9. The method of claim 1 , wherein the user input specifies multimedia content to be inserted into the note; and wherein adding the note to the note region comprises embedding a multimedia player into the note region. | 0.647681 |
1. A method for placing a call over a communications network, the call being placed through a set of feature modules in the network, each feature module being independent and communicating with other feature modules through featureless internal calls through the communications network, the method comprising the steps of: receiving a request from a customer to place a call over the network; determining which features are associated with the customer's request and routing an internal call to a module representing a first feature; routing subsequent internal calls to additional feature modules representing features associated with the customer's request; and routing an internal call from a last feature module to a destination customer, wherein a path of internal calls from the requesting customer includes all features associated with the requesting customer's request. | 1. A method for placing a call over a communications network, the call being placed through a set of feature modules in the network, each feature module being independent and communicating with other feature modules through featureless internal calls through the communications network, the method comprising the steps of: receiving a request from a customer to place a call over the network; determining which features are associated with the customer's request and routing an internal call to a module representing a first feature; routing subsequent internal calls to additional feature modules representing features associated with the customer's request; and routing an internal call from a last feature module to a destination customer, wherein a path of internal calls from the requesting customer includes all features associated with the requesting customer's request. 15. The method of claim 1, wherein a feature module can tear down an internal call that it is participating in at any time. | 0.685567 |
17. A computer program product stored on a non-transitory computer readable storage medium, which, when executed performs a method for retrieving data, comprising: analyzing each query term of a format-independent query for data retrieval to determine whether the query term corresponds to at least one of: a domain keyword or a formula designator; wherein in the case that at least one domain keyword is retrieved as corresponding to the query term, mapping the retrieved domain keyword to the query term such that the at least one retrieved domain keyword is substituted for the query term in the format-independent query, wherein in the case that at least one formula designator is retrieved as corresponding to the query term, mapping a set of formula terms associated with the retrieved formula designator to the query term such that the at least one retrieved formula designator is substituted for the query term in the format-independent query, wherein in the case that both at least one domain keyword and at least one formula designator are retrieved as corresponding to the query term, mapping the set of formula terms associated with the at least one of the retrieved formula designators to the at least one of the retrieved domain keywords of the query term; creating a unique weighted boosting for each of the retrieved domain keywords, the retrieved formula designators, and the mapped formula terms; and searching a dataset using a structured search query that includes all weighted boosted terms and any remaining query terms that do not correspond to one of the weighted boosted terms. | 17. A computer program product stored on a non-transitory computer readable storage medium, which, when executed performs a method for retrieving data, comprising: analyzing each query term of a format-independent query for data retrieval to determine whether the query term corresponds to at least one of: a domain keyword or a formula designator; wherein in the case that at least one domain keyword is retrieved as corresponding to the query term, mapping the retrieved domain keyword to the query term such that the at least one retrieved domain keyword is substituted for the query term in the format-independent query, wherein in the case that at least one formula designator is retrieved as corresponding to the query term, mapping a set of formula terms associated with the retrieved formula designator to the query term such that the at least one retrieved formula designator is substituted for the query term in the format-independent query, wherein in the case that both at least one domain keyword and at least one formula designator are retrieved as corresponding to the query term, mapping the set of formula terms associated with the at least one of the retrieved formula designators to the at least one of the retrieved domain keywords of the query term; creating a unique weighted boosting for each of the retrieved domain keywords, the retrieved formula designators, and the mapped formula terms; and searching a dataset using a structured search query that includes all weighted boosted terms and any remaining query terms that do not correspond to one of the weighted boosted terms. 20. The program product of claim 17 , the analyzing further comprising: searching a business domain vocabulary to determine whether the query term corresponds to a domain keyword; and searching at least one of the business domain vocabulary or a statistical vocabulary to determine whether the query term corresponds to a formula designator and returning a structural mapping that includes one or more constituent formula terms if a match is found. | 0.635688 |
8. An apparatus comprising: a processor; and a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to: generate a logical parse hierarchical representation of a first parse of the natural language content by identifying latent logical terms within the first parse indicative of logical relationships between elements of the natural language content, wherein the logical parse hierarchical representation comprises nodes and edges linking nodes; associate at least one knowledge value with each node in the logical parse hierarchical representation; propagate the at least one knowledge value associated with at least a subset of the nodes in the logical parse hierarchical representation to one or more other nodes in the logical parse hierarchical representation based on propagation rules, wherein the propagating of the at least one knowledge value generates transaction records in a transaction knowledgebase data structure; and perform a reasoning operation based on the transaction knowledgebase data structure, wherein the instructions further cause the processor to perform a reasoning operation based on the transaction knowledgebase data structure at least by determining a current state of a node in the hierarchical representation by retrieving a most recent transaction that affected the node from the transaction knowledgebase data structure. | 8. An apparatus comprising: a processor; and a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to: generate a logical parse hierarchical representation of a first parse of the natural language content by identifying latent logical terms within the first parse indicative of logical relationships between elements of the natural language content, wherein the logical parse hierarchical representation comprises nodes and edges linking nodes; associate at least one knowledge value with each node in the logical parse hierarchical representation; propagate the at least one knowledge value associated with at least a subset of the nodes in the logical parse hierarchical representation to one or more other nodes in the logical parse hierarchical representation based on propagation rules, wherein the propagating of the at least one knowledge value generates transaction records in a transaction knowledgebase data structure; and perform a reasoning operation based on the transaction knowledgebase data structure, wherein the instructions further cause the processor to perform a reasoning operation based on the transaction knowledgebase data structure at least by determining a current state of a node in the hierarchical representation by retrieving a most recent transaction that affected the node from the transaction knowledgebase data structure. 10. The apparatus of claim 8 , wherein the instructions further cause the processor to propagate the at least one knowledge value at least by iteratively applying one or more knowledge reasoners to the logical parse hierarchical representation to propagate the at least one knowledge value of at least a subset of the nodes in the logical parse hierarchical representation to one or more other nodes in the logical parse hierarchical representation based on propagation rules, wherein each application of a knowledge reasoner generates a transaction record in the transaction knowledgebase data structure identifying nodes affected by the application of the knowledge reasoner. | 0.518744 |
1. A method comprising: receiving, by a computing device, a spreadsheet model; receiving, by the computing device, a model template wherein the model template further comprises instructions for spreadsheet evaluation, template management, and web representation; and template management instructions on how to manage evaluations; and deploying, by the computing device, an instance of the model template into a model relationship structure relating one or more model template instances wherein the deploying of an instance of the model template occurs in a model relationship structure selected from a tree, a directed acyclic graph (DAG), and a matrix; wherein the template management instructions includes instructions on how evaluations using the model template interrelate with evaluations from the one or more other model template instances. | 1. A method comprising: receiving, by a computing device, a spreadsheet model; receiving, by the computing device, a model template wherein the model template further comprises instructions for spreadsheet evaluation, template management, and web representation; and template management instructions on how to manage evaluations; and deploying, by the computing device, an instance of the model template into a model relationship structure relating one or more model template instances wherein the deploying of an instance of the model template occurs in a model relationship structure selected from a tree, a directed acyclic graph (DAG), and a matrix; wherein the template management instructions includes instructions on how evaluations using the model template interrelate with evaluations from the one or more other model template instances. 7. The method of claim 1 , wherein the receiving of the model template further comprises one or more of comparing evaluations, aggregating evaluations, synchronizing evaluations, enhancing the model template, and determining relationships along the model template relationship structure. | 0.817722 |
11. A computer storage device which stores a set of instructions which when executed by a processor performs a method for providing sentence simplification for spoken language understanding, the method executed by the set of instructions comprising: identifying a predicate associated with a text phrase, wherein the predicate comprises a word of the text phrase upon which other words of the text phrase depend and which does not depend on other words of the text phrase, wherein the predicate is associated with an intent of the text phrase; reformatting the text phrase, wherein the reformatted text phrase comprises at least the word corresponding to the predicate; defining an intent domain based on the reformatted text phrase; filling one or more semantic slots of a spoken language understanding application associated with the intent domain with words from the text phrase; performing a task associated with the defined intent domain and based on information from the filled semantic slots of the spoken language understanding application at the computing device; and displaying a result associated with the task. | 11. A computer storage device which stores a set of instructions which when executed by a processor performs a method for providing sentence simplification for spoken language understanding, the method executed by the set of instructions comprising: identifying a predicate associated with a text phrase, wherein the predicate comprises a word of the text phrase upon which other words of the text phrase depend and which does not depend on other words of the text phrase, wherein the predicate is associated with an intent of the text phrase; reformatting the text phrase, wherein the reformatted text phrase comprises at least the word corresponding to the predicate; defining an intent domain based on the reformatted text phrase; filling one or more semantic slots of a spoken language understanding application associated with the intent domain with words from the text phrase; performing a task associated with the defined intent domain and based on information from the filled semantic slots of the spoken language understanding application at the computing device; and displaying a result associated with the task. 17. The computer storage device of claim 11 , wherein filling one or more semantic slots is performed based in part on the top level predicate and one or more predicates of other clauses of the text phrase. | 0.5 |
1. A computer-implemented method comprising: identifying a plurality of client devices, each client device of the plurality of client devices having a respective web browser installed, the web browser comprising a plurality of components including a web page renderer component for rendering web pages, a first translator component for translating programs in a portable format to a machine-specific instruction set, and a first sandbox component for executing programs translated to the machine-specific instruction set on the client device using software-based fault isolation; identifying one or more second client devices, from among the plurality of client devices, that have a given hardware configuration; and transmitting a second translator component and a second sandbox component to each of the second client devices, wherein each of the second client devices is configured to: (i) receive the second translator component and the second sandbox component, and (ii) configure the respective web browser of the second client device to use the second translator component instead of using the first translator component to translate programs in the portable format to a machine-specific instruction set of the second client device and to use the second sandbox component instead of using the first sandbox component to execute programs translated to the machine-specific instruction set of the second client device. | 1. A computer-implemented method comprising: identifying a plurality of client devices, each client device of the plurality of client devices having a respective web browser installed, the web browser comprising a plurality of components including a web page renderer component for rendering web pages, a first translator component for translating programs in a portable format to a machine-specific instruction set, and a first sandbox component for executing programs translated to the machine-specific instruction set on the client device using software-based fault isolation; identifying one or more second client devices, from among the plurality of client devices, that have a given hardware configuration; and transmitting a second translator component and a second sandbox component to each of the second client devices, wherein each of the second client devices is configured to: (i) receive the second translator component and the second sandbox component, and (ii) configure the respective web browser of the second client device to use the second translator component instead of using the first translator component to translate programs in the portable format to a machine-specific instruction set of the second client device and to use the second sandbox component instead of using the first sandbox component to execute programs translated to the machine-specific instruction set of the second client device. 4. The method of claim 1 wherein the second sandbox component comprises a validator component configured to verify that programs translated to the machine-specific instruction set of the second client device do not include unsafe instructions, do not load or store data outside of the second sandbox component, and have control flow integrity. | 0.65 |
7. The method of claim 6 , further comprising: calculating the variance criteria comprises calculating the left-hand side variance criteria and the right-hand side variance criteria; the second threshold comprises a left-hand side variance threshold and a right-hand side variance threshold; and calculating the character association criteria for only new word candidate character strings that have a left-hand side variance criteria greater than the left-hand side variance threshold and also have a right-hand side variance criteria greater than the right-hand side variance threshold. | 7. The method of claim 6 , further comprising: calculating the variance criteria comprises calculating the left-hand side variance criteria and the right-hand side variance criteria; the second threshold comprises a left-hand side variance threshold and a right-hand side variance threshold; and calculating the character association criteria for only new word candidate character strings that have a left-hand side variance criteria greater than the left-hand side variance threshold and also have a right-hand side variance criteria greater than the right-hand side variance threshold. 8. The method of claim 7 , wherein the left-hand side variance threshold and a right-hand side variance threshold are both a same value. | 0.876447 |
1. A method, for operating a voicemail system, comprising: receiving a call for a called party at the voicemail system, the voicemail system comprising a stored language preference for the called party; prompting a calling party to leave a message; creating the message; prompting the calling party to indicate a calling-party-selected language preference for the message; in response to prompting the calling party to indicate the calling-party-selected language preference for the message, receiving the calling-party-selected language preference for the message; overriding the stored language preference for the called party with the calling-party-selected language preference; determining whether the message is in the calling-party-selected language preference; and in response to overriding the stored language preference with the calling-party-selected language preference, and if the message is not in the calling-party-selected preferred language identified by the language preference, translating the message into a preferred language of the calling-party-selected preferred language preference, thereby creating a translated message. | 1. A method, for operating a voicemail system, comprising: receiving a call for a called party at the voicemail system, the voicemail system comprising a stored language preference for the called party; prompting a calling party to leave a message; creating the message; prompting the calling party to indicate a calling-party-selected language preference for the message; in response to prompting the calling party to indicate the calling-party-selected language preference for the message, receiving the calling-party-selected language preference for the message; overriding the stored language preference for the called party with the calling-party-selected language preference; determining whether the message is in the calling-party-selected language preference; and in response to overriding the stored language preference with the calling-party-selected language preference, and if the message is not in the calling-party-selected preferred language identified by the language preference, translating the message into a preferred language of the calling-party-selected preferred language preference, thereby creating a translated message. 3. The method of claim 1 , wherein receiving the call at the voicemail system is performed at a network voicemail system including a visual voicemail system. | 0.752351 |
4. The method of claim 1 , wherein the visually presenting the speaker-related information includes: determining a display to serve as a destination for the speaker-related information. | 4. The method of claim 1 , wherein the visually presenting the speaker-related information includes: determining a display to serve as a destination for the speaker-related information. 6. The method of claim 4 , wherein the determining a display includes: selecting from one of multiple displays, based at least in part on a size of each of the multiple displays. | 0.899563 |
3. The method of claim 2 , further comprising receiving a metadata indicating a set of keys on which said first XML data can be searched and a set of editable names that are permitted to be edited, each of said set of keys and said set of editable names being one of said first set of names of said first XML schema, wherein said first generic XML data comprises: a) a third set of elements, wherein each of said third set of elements is specified by said first name, wherein each of said third set of elements represents a corresponding element of said first XML data having one of said set of keys, wherein said third set of elements includes said first element; and b) a fourth set of elements, wherein each of said fourth set of elements is specified by said second name, wherein each of said fourth set of elements represents a corresponding element of said first XML data having one of said set of editable names. | 3. The method of claim 2 , further comprising receiving a metadata indicating a set of keys on which said first XML data can be searched and a set of editable names that are permitted to be edited, each of said set of keys and said set of editable names being one of said first set of names of said first XML schema, wherein said first generic XML data comprises: a) a third set of elements, wherein each of said third set of elements is specified by said first name, wherein each of said third set of elements represents a corresponding element of said first XML data having one of said set of keys, wherein said third set of elements includes said first element; and b) a fourth set of elements, wherein each of said fourth set of elements is specified by said second name, wherein each of said fourth set of elements represents a corresponding element of said first XML data having one of said set of editable names. 4. The method of claim 3 , wherein each of said third set of elements, including said first element, is stored as a corresponding row in said staging table, said staging table further comprises a column to store the corresponding portion of XML data in the form of XML, wherein said performing said first query comprises: transforming data of said column corresponding to said first element using a XSL (Extensible Style sheet Language) to replace said first portion with said new portion; and storing said transformed data in said column corresponding to said first element, wherein said XSL is used for transforming said data of said column irrespective of whether said data is a representation of said first XML data or said second XML data in view of said converting of both of said first XML data and said second XML data according to said pre-defined schema. | 0.81964 |
6. The system of claim 1 , wherein the instructions to determine rendering formats for the generated clusters comprises deriving properties determined for the one or more clusters based on the grouped augmentation data and using the derived properties to create the conceptual representations of the one or more clusters. | 6. The system of claim 1 , wherein the instructions to determine rendering formats for the generated clusters comprises deriving properties determined for the one or more clusters based on the grouped augmentation data and using the derived properties to create the conceptual representations of the one or more clusters. 8. The system of claim 6 , wherein the deriving the properties comprises analyzing the grouped augmentation data to determine appearance, behavior, and interactivity properties of the grouped augmentation data. | 0.925047 |
2. The method of claim 1 wherein the machine learning algorithm is a cost-insensitive machine learning algorithm. | 2. The method of claim 1 wherein the machine learning algorithm is a cost-insensitive machine learning algorithm. 3. The method of claim 2 wherein the cost-insensitive machine learning algorithm is a supervised machine learning algorithm comprising at least one of: a decision tree, a bagging technique, a logistic regression, a perceptron, a support vector machine, or a relevance vector machine. | 0.939108 |
2. The computer-implemented method of claim 1 , wherein determining the personalization information further comprises receiving a suggested search term from a member of the set of communities, wherein the personalized search query, generated based upon the personalization information, includes the suggested search term, and wherein searching the content index to produce the search result set is based upon the personalized search query including the suggested search term. | 2. The computer-implemented method of claim 1 , wherein determining the personalization information further comprises receiving a suggested search term from a member of the set of communities, wherein the personalized search query, generated based upon the personalization information, includes the suggested search term, and wherein searching the content index to produce the search result set is based upon the personalized search query including the suggested search term. 3. The computer-implemented method of claim 2 , further comprising adjusting the suggested search term based upon feedback to the search result set. | 0.838496 |
18. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: receiving, by a portable computing device, a spoken query from a user of the portable computing device, by the portable computing device; submitting, by the portable computing device to a remote server system, a digital recording of the spoken query and data indicating that the spoken query is classified as a television-related query; receiving, at the portable computing device from the remote server system, a transcription of the spoken query; and automatically transmitting the transcription of the spoken query from the portable computing device to a television system, wherein the television system is programmed to modify the transcription of the spoken query received from the remote server system via the portable computing device, to submit the modified transcription of the spoken query received from the remote server system via the portable computing device as a search query to a remote search engine, and to display to the user media-related results that are determined to be responsive to the search query. | 18. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: receiving, by a portable computing device, a spoken query from a user of the portable computing device, by the portable computing device; submitting, by the portable computing device to a remote server system, a digital recording of the spoken query and data indicating that the spoken query is classified as a television-related query; receiving, at the portable computing device from the remote server system, a transcription of the spoken query; and automatically transmitting the transcription of the spoken query from the portable computing device to a television system, wherein the television system is programmed to modify the transcription of the spoken query received from the remote server system via the portable computing device, to submit the modified transcription of the spoken query received from the remote server system via the portable computing device as a search query to a remote search engine, and to display to the user media-related results that are determined to be responsive to the search query. 23. The storage medium of claim 18 , wherein the media-related results are a same television program, but different episodes of the same television program at different times. | 0.730906 |
3. The method of claim 1 , wherein the at least one parameter of the associated web document comprises any one of: title content, title length, keyword content, keyword location, document code structure, document format, document content, document headings, document tags, document meta content, blocker elements, web document indicator (ie URL), linking structures, and tracking codes. | 3. The method of claim 1 , wherein the at least one parameter of the associated web document comprises any one of: title content, title length, keyword content, keyword location, document code structure, document format, document content, document headings, document tags, document meta content, blocker elements, web document indicator (ie URL), linking structures, and tracking codes. 15. The method of claim 3 , wherein the recommended modification comprises altering one or more data tags or document headings in the associated web document. | 0.87247 |
1. A method for determining a rank for a URL, the method comprising: sending, by a processor, a search query to a search engine; receiving, by the processor, a search engine results page from the search engine including a result with a URL; determining, by the processor, a first rank of the URL based on the search engine results page; rendering, by the processor, a result on the search engine results page; determining, by the processor, a horizontal or vertical location on the search engine results page where the result is rendered; and modifying, by the processor, the first rank based on the horizontal or vertical location to produce a modified rank for the URL; wherein determining the horizontal or vertical location includes determining a vertical distance between the result in the search engine results page and a top edge of the search engine results page. | 1. A method for determining a rank for a URL, the method comprising: sending, by a processor, a search query to a search engine; receiving, by the processor, a search engine results page from the search engine including a result with a URL; determining, by the processor, a first rank of the URL based on the search engine results page; rendering, by the processor, a result on the search engine results page; determining, by the processor, a horizontal or vertical location on the search engine results page where the result is rendered; and modifying, by the processor, the first rank based on the horizontal or vertical location to produce a modified rank for the URL; wherein determining the horizontal or vertical location includes determining a vertical distance between the result in the search engine results page and a top edge of the search engine results page. 2. The method as recited in claim 1 , further comprising: rendering, by the processor, the search engine results page in a browser to produce a rendered search engine results page; and performing an image analysis on the rendered search engine results page by the processor. | 0.592831 |
17. An apparatus comprising: a processor; a storage device coupled to the processor and configurable for storing instructions, which, when executed by the processor, cause the processor to perform operations comprising: searching a document for a typesetting placeholder, wherein a typesetting placeholder is a recognized non-alphabetic character that formats the document; determining that the typesetting placeholder is ambiguous, and consequently creating a set of candidate solutions from a string of characters including the ambiguous typesetting placeholder, wherein each solution in the set of candidate solutions comprises one or more character sub-strings created by uniquely resolving the ambiguous typesetting placeholder in the string of characters; searching a dictionary stored on a computer storage device for the one or more character sub-strings in each solution in the set of candidate solutions; and using the dictionary search result to resolve the ambiguous typesetting placeholder in the string of characters. | 17. An apparatus comprising: a processor; a storage device coupled to the processor and configurable for storing instructions, which, when executed by the processor, cause the processor to perform operations comprising: searching a document for a typesetting placeholder, wherein a typesetting placeholder is a recognized non-alphabetic character that formats the document; determining that the typesetting placeholder is ambiguous, and consequently creating a set of candidate solutions from a string of characters including the ambiguous typesetting placeholder, wherein each solution in the set of candidate solutions comprises one or more character sub-strings created by uniquely resolving the ambiguous typesetting placeholder in the string of characters; searching a dictionary stored on a computer storage device for the one or more character sub-strings in each solution in the set of candidate solutions; and using the dictionary search result to resolve the ambiguous typesetting placeholder in the string of characters. 18. The apparatus of claim 17 , the storage device further configurable for storing instructions which, when executed by the processor, cause the processor to perform operations comprising: identifying one or more words in the document that are not ambiguous; and automatically adding the one or more words to the dictionary. | 0.637931 |
8. A device comprising memory storing instructions that, when executed by a computer processor of the device, cause the device to perform a method of speech recognition comprising: processing a speech input to produce a sequence of representative speech vectors; and performing a first recognition pass using a first acoustic model to produce at least one intermediate recognition hypothesis corresponding to the speech input; performing a second recognition pass using a second acoustic model to re-evaluate the at least one intermediate recognition hypothesis and produce a final recognition result corresponding to the speech input; and wherein the second recognition pass is a generic recognition pass that is based on a generic speech recognition arrangement using generic acoustic modeling of a broad general class of input speech; and wherein the first recognition pass is an adapted recognition pass that is based on a speech adapted arrangement using pre-adapted acoustic modeling of a specific sub-class of the general class of input speech. | 8. A device comprising memory storing instructions that, when executed by a computer processor of the device, cause the device to perform a method of speech recognition comprising: processing a speech input to produce a sequence of representative speech vectors; and performing a first recognition pass using a first acoustic model to produce at least one intermediate recognition hypothesis corresponding to the speech input; performing a second recognition pass using a second acoustic model to re-evaluate the at least one intermediate recognition hypothesis and produce a final recognition result corresponding to the speech input; and wherein the second recognition pass is a generic recognition pass that is based on a generic speech recognition arrangement using generic acoustic modeling of a broad general class of input speech; and wherein the first recognition pass is an adapted recognition pass that is based on a speech adapted arrangement using pre-adapted acoustic modeling of a specific sub-class of the general class of input speech. 15. The device according to claim 8 , wherein the at least one intermediate recognition hypothesis comprises a lattice or N-best list of one or more recognition hypotheses that is re-evaluated during the second recognition pass. | 0.65625 |
8. A system comprising: an electronic data store configured to store one or more algorithms that, when executed, implement a speech recognition engine; and a computing device in communication with the electronic data store, the computing device configured to: receive audio data comprising speech; transcribe the speech with the speech recognition engine to generate a transcription comprising first text; determine a first metric associated with the first text; select, based at least in part on the first metric, a representation of the first text; cause presentation of the first text using the selected representation. | 8. A system comprising: an electronic data store configured to store one or more algorithms that, when executed, implement a speech recognition engine; and a computing device in communication with the electronic data store, the computing device configured to: receive audio data comprising speech; transcribe the speech with the speech recognition engine to generate a transcription comprising first text; determine a first metric associated with the first text; select, based at least in part on the first metric, a representation of the first text; cause presentation of the first text using the selected representation. 11. The system of claim 8 , wherein the first text comprises at least one of a syllable, a word, a phrase, or a sentence. | 0.671978 |
1. A computer-implemented method comprising: forming a statistically derived mapping based on measured statistics from speech utterances received during off-line processing and feature normalization parameters associated with the speech utterances, wherein each measured statistic is based on portion of a single speech utterance and each feature normalization parameter is based on multiple speech utterances, wherein the speech utterances received during off-line processing are received from a speech database that includes utterances of multiple speakers in multiple acoustic environments and wherein forming the statistically derived mapping comprises determining weights by statistical regression that relate the measured statistics from the speech utterances received during off-line processing to the associated feature normalization parameters; measuring statistics of energy, from an initial portion of a speech utterance received during on-line processing, where the initial portion of the speech utterance includes a limited number of speech frames having cepstral features and estimated to comprise a minimum and maximum energy to provide estimates of signal and noise levels; and estimating feature normalization parameters for the speech utterance received during on-line processing based on the measured statistics of the initial portion of a speech utterance by linearly mapping the cepstral features and the signal and noise levels using the statistically derived mapping weights. | 1. A computer-implemented method comprising: forming a statistically derived mapping based on measured statistics from speech utterances received during off-line processing and feature normalization parameters associated with the speech utterances, wherein each measured statistic is based on portion of a single speech utterance and each feature normalization parameter is based on multiple speech utterances, wherein the speech utterances received during off-line processing are received from a speech database that includes utterances of multiple speakers in multiple acoustic environments and wherein forming the statistically derived mapping comprises determining weights by statistical regression that relate the measured statistics from the speech utterances received during off-line processing to the associated feature normalization parameters; measuring statistics of energy, from an initial portion of a speech utterance received during on-line processing, where the initial portion of the speech utterance includes a limited number of speech frames having cepstral features and estimated to comprise a minimum and maximum energy to provide estimates of signal and noise levels; and estimating feature normalization parameters for the speech utterance received during on-line processing based on the measured statistics of the initial portion of a speech utterance by linearly mapping the cepstral features and the signal and noise levels using the statistically derived mapping weights. 11. The method of claim 1 , further comprising responding quickly to a speech onset and eliminating the need to explicitly detect the time of speech onset by determining minimum energy from the first couple of frames. | 0.618267 |
31. The computer program product of claim 23 , further comprising computer-readable instruction means for assigning a validation score to the search results based on accuracy of the results of the executed set of tasks, and then using the validation score to refine the classifier and feature/attention models used for that particular set of tasks. | 31. The computer program product of claim 23 , further comprising computer-readable instruction means for assigning a validation score to the search results based on accuracy of the results of the executed set of tasks, and then using the validation score to refine the classifier and feature/attention models used for that particular set of tasks. 32. The computer program product of claim 31 , further comprising computer-readable instruction means for iteratively repeating the search using the refined classifier and feature/attention model until the search goal is accomplished. | 0.86489 |
2. The method of claim 1 , further comprising building a training set of 3-dimensional image volumes, and using said training set to train said learning and classification algorithm to recognize object shapes and appearances in said image volumes. | 2. The method of claim 1 , further comprising building a training set of 3-dimensional image volumes, and using said training set to train said learning and classification algorithm to recognize object shapes and appearances in said image volumes. 3. The method of claim 2 , wherein said training set includes positive and negative examples of shapes and appearances. | 0.968068 |
60. A mobile station comprising: a network interface; at least one user presentation device; and one or more processing units to: generate a request for translation information from a translation information service, wherein said translation information is associated with a location and one or more written and/or spoken languages; initiate transmission of said request for translation information to said translation information service via said network interface; access a response received from said translation information service via said network interface, said response comprising requested translation information, said requested translation information being based, at least in part, on said request for translation information, said location, and predicted information, wherein the predicted information is associated with the request for translation information, the location and at least one other request for translation information associated with at least one other location and previously transmitted to said translation information service by at least one other mobile station; and initiate a presentation via said at least one user presentation device based, at least in part, on said response. | 60. A mobile station comprising: a network interface; at least one user presentation device; and one or more processing units to: generate a request for translation information from a translation information service, wherein said translation information is associated with a location and one or more written and/or spoken languages; initiate transmission of said request for translation information to said translation information service via said network interface; access a response received from said translation information service via said network interface, said response comprising requested translation information, said requested translation information being based, at least in part, on said request for translation information, said location, and predicted information, wherein the predicted information is associated with the request for translation information, the location and at least one other request for translation information associated with at least one other location and previously transmitted to said translation information service by at least one other mobile station; and initiate a presentation via said at least one user presentation device based, at least in part, on said response. 67. The mobile station as recited in claim 60 , wherein said predicted information comprises statistical information based, at least in part, on a plurality of other requests for translation information associated with said location, the at least one other location, and previously transmitted to said translation information service by a plurality of other mobile stations. | 0.5 |
13. The computer-implemented method of claim 4 , wherein applying the probabilistic model to the user text input comprises determining the one or more input predictions according to a posterior probability distribution. | 13. The computer-implemented method of claim 4 , wherein applying the probabilistic model to the user text input comprises determining the one or more input predictions according to a posterior probability distribution. 15. The computer-implemented method of claim 13 , wherein classifying the user override within the probabilistic model comprises updating a smoothing algorithm associated with the plurality of text items in the text repository. | 0.921433 |
11. A computer program product in a computer readable storage medium having instructions embodied therein for classifying a multimedia artifact comprising: instructions for applying a recursive routing selection technique to select said multimedia artifact as an input data object in digital form that is mapped by particular semantic classes which belong to a specific ontology and to a specific domain, including; instructions for using specified criteria including an HTML address, an alt tag and a date-time limitation, to select at least one ontology from a plurality of ontology stored in an ontology database, wherein each ontology in the plurality of ontology includes an associated domain that is limited to said input data object, specified domain characteristics, and semantic classes, wherein said specified criteria indicates a comparative similarity between specified characteristics of said multimedia artifact and the specified domain characteristics of each ontology in the plurality of ontology; instructions for scoring and selecting one or more classes from a plurality of classes to form selected classifiers that respectively correspond to the semantic classes of the selected ontology; instructions for evaluating said multimedia artifact using said selected classes to determine a classification for said multimedia artifact, wherein automatic classification and tagging procedures are executed by a computer processor, which compares content and semantic metadata of said multimedia artifact with each of the selected classes of each ontology of the selected ontology, and is responsive to frequent concurrence of high level concepts which are used to derive a downward leaf object searching schema for suboptimal choice of the most appropriate concept to evaluate against said multimedia artifact, which results in recursively capturing new semantic metadata for refining said metadata of said multimedia artifact and rendering a new classification for said multimedia artifact; and instructions for stopping recursive routing when a pre-specified suboptimal downward leaf object searching schema is reached in said ontology database. | 11. A computer program product in a computer readable storage medium having instructions embodied therein for classifying a multimedia artifact comprising: instructions for applying a recursive routing selection technique to select said multimedia artifact as an input data object in digital form that is mapped by particular semantic classes which belong to a specific ontology and to a specific domain, including; instructions for using specified criteria including an HTML address, an alt tag and a date-time limitation, to select at least one ontology from a plurality of ontology stored in an ontology database, wherein each ontology in the plurality of ontology includes an associated domain that is limited to said input data object, specified domain characteristics, and semantic classes, wherein said specified criteria indicates a comparative similarity between specified characteristics of said multimedia artifact and the specified domain characteristics of each ontology in the plurality of ontology; instructions for scoring and selecting one or more classes from a plurality of classes to form selected classifiers that respectively correspond to the semantic classes of the selected ontology; instructions for evaluating said multimedia artifact using said selected classes to determine a classification for said multimedia artifact, wherein automatic classification and tagging procedures are executed by a computer processor, which compares content and semantic metadata of said multimedia artifact with each of the selected classes of each ontology of the selected ontology, and is responsive to frequent concurrence of high level concepts which are used to derive a downward leaf object searching schema for suboptimal choice of the most appropriate concept to evaluate against said multimedia artifact, which results in recursively capturing new semantic metadata for refining said metadata of said multimedia artifact and rendering a new classification for said multimedia artifact; and instructions for stopping recursive routing when a pre-specified suboptimal downward leaf object searching schema is reached in said ontology database. 13. The computer program product of claim 11 , wherein: said evaluation using said selected classes enriches said multimedia artifact with said new semantic metadata, wherein said new semantic metadata is stored in a specified database, or packaged with said multimedia artifact, selectively. | 0.594536 |
12. A method of generating phrases in a dialog system in response to user input during one or more turns of a present conversation session between a first user and the dialog system, comprising: collecting, during a training phase, a corpus of user data from one or more past conversation sessions between the first user only and the dialog system to form phrase models using the first user's own phrases for use by a response generator component in response to a query by the first user; determining constraints expressed in each user utterance in the past conversation sessions using one or more constraint identifiers; forming a pool of user examples instructing the system on how to lexicalize the constraints to form lexicalized constraints; using the phrase models at a semantic level to use wordings in the response that utilize the first user's own phrases; constructing phrase models based on the corpus of first user data, wherein the phrase models comprise constraint sets consisting of constraint-value pairs based on the lexicalized constraints; selecting an optimal constraint set from the corpus of user data in response to a constraint within the user input; and generating a sentence for output from the response generator component incorporating the optimal constraint set to form a response utilizing the first user's own phrases. | 12. A method of generating phrases in a dialog system in response to user input during one or more turns of a present conversation session between a first user and the dialog system, comprising: collecting, during a training phase, a corpus of user data from one or more past conversation sessions between the first user only and the dialog system to form phrase models using the first user's own phrases for use by a response generator component in response to a query by the first user; determining constraints expressed in each user utterance in the past conversation sessions using one or more constraint identifiers; forming a pool of user examples instructing the system on how to lexicalize the constraints to form lexicalized constraints; using the phrase models at a semantic level to use wordings in the response that utilize the first user's own phrases; constructing phrase models based on the corpus of first user data, wherein the phrase models comprise constraint sets consisting of constraint-value pairs based on the lexicalized constraints; selecting an optimal constraint set from the corpus of user data in response to a constraint within the user input; and generating a sentence for output from the response generator component incorporating the optimal constraint set to form a response utilizing the first user's own phrases. 14. The method of claim 12 wherein the step of selecting an optimal constraint set further comprises: determining whether or not the constraint and value pairs of the filled constraints are present in the response database; configuring the response generator component to use the corresponding phrase in the response database if the constraint and value pairs of the filled constraints are present in the response database; configuring the response generator component to use a corresponding phrase in the response database that overlaps the user input constraint and value pairs of the filled constraints to as high a degree if possible, if the values of the constraints are different between the filled constraints of the database and the values of the constraints in the user input; and creating constraint patterns from existing or generated patterns if the constraint and value pairs of the filled constraints are not present in the response database. | 0.5 |
6. The decoder according to claim 1 , wherein the entropy decoder is configured to binary arithmetic decode a bin of a syntax element being currently decoded by quantizing a current probability interval width value representing a current probability interval to acquire a probability interval index, and performing an interval subdivision by indexing a table entry among tables entries using the probability interval index and a probability state index depending on a current probability state associated with the context selected for the bin, to acquire a sub-division of the current probability interval into two partial intervals. | 6. The decoder according to claim 1 , wherein the entropy decoder is configured to binary arithmetic decode a bin of a syntax element being currently decoded by quantizing a current probability interval width value representing a current probability interval to acquire a probability interval index, and performing an interval subdivision by indexing a table entry among tables entries using the probability interval index and a probability state index depending on a current probability state associated with the context selected for the bin, to acquire a sub-division of the current probability interval into two partial intervals. 7. The decoder according to claim 6 , wherein the entropy decoder is configured to use an 8-bit representation for the current probability interval width value and to obtain 2 or 3 most significant bits of the 8-bit representation in quantizing the current probability interval width value. | 0.666959 |
1. A method for providing audible assistance via a hearing device, the method comprising: receiving data representing a speech signal obtained at a hearing device associated with a user, the speech signal representing an utterance of a speaker; identifying the speaker based on the data representing the speech signal; determining speaker-related information associated with the identified speaker; determining whether or not the user can name the speaker, by determining whether the user has named the speaker; and when it is determined that the user cannot name the speaker, informing the user of the speaker-related information via the hearing device, wherein the informing the user of the speaker-related information via the hearing device includes: informing the user of an identifier of the speaker. | 1. A method for providing audible assistance via a hearing device, the method comprising: receiving data representing a speech signal obtained at a hearing device associated with a user, the speech signal representing an utterance of a speaker; identifying the speaker based on the data representing the speech signal; determining speaker-related information associated with the identified speaker; determining whether or not the user can name the speaker, by determining whether the user has named the speaker; and when it is determined that the user cannot name the speaker, informing the user of the speaker-related information via the hearing device, wherein the informing the user of the speaker-related information via the hearing device includes: informing the user of an identifier of the speaker. 6. The method of claim 1 , wherein the informing the user of the speaker-related information via the hearing device includes: informing the user of an event involving the user and the speaker. | 0.68337 |
16. A method of second language learning, comprising: providing a user model of latent traits that represent different semantic and syntactic second language learning skills including word meanings and grammatical structures, a state of each said latent trait representing the learner's mastery of that second language learning skill; presenting second language-learning materials including error-free text, text that includes syntax errors and text that includes semantic errors to test the one or more latent traits on a display so that a learner is allowed to move his or her eyes freely in response to the displayed materials; measuring EEG data of the learner's brain activity from a plurality of electrodes placed on the learner's scalp; tracking the learner's eye movement to determine fixation events on the materials; at each fixation event, processing a time window of EEG data to identify a fixation-locked cognitive response in the form of an event-related potential (ERP); associating each fixation-locked cognitive response with a portion of the displayed materials; processing each said fixation-locked cognitive response and the associated materials to update the state of the one or more latent traits tested by those materials; monitoring the states of the latent traits to assess mastery or difficulty the learner is having with specific learning skills; and customizing a subsequent lesson based on the states of one or more latent traits in the user model. | 16. A method of second language learning, comprising: providing a user model of latent traits that represent different semantic and syntactic second language learning skills including word meanings and grammatical structures, a state of each said latent trait representing the learner's mastery of that second language learning skill; presenting second language-learning materials including error-free text, text that includes syntax errors and text that includes semantic errors to test the one or more latent traits on a display so that a learner is allowed to move his or her eyes freely in response to the displayed materials; measuring EEG data of the learner's brain activity from a plurality of electrodes placed on the learner's scalp; tracking the learner's eye movement to determine fixation events on the materials; at each fixation event, processing a time window of EEG data to identify a fixation-locked cognitive response in the form of an event-related potential (ERP); associating each fixation-locked cognitive response with a portion of the displayed materials; processing each said fixation-locked cognitive response and the associated materials to update the state of the one or more latent traits tested by those materials; monitoring the states of the latent traits to assess mastery or difficulty the learner is having with specific learning skills; and customizing a subsequent lesson based on the states of one or more latent traits in the user model. 18. The method of claim 16 , further comprising: measuring a saccade from the eye movement; and processing the saccade and the cognitive response with the materials to update the state of the one or more latent traits tested by those materials. | 0.735043 |
11. Code conversion apparatus including at least one processor, and configured to convert a first code sequence conforming to a first speech coding scheme into a second code sequence conforming to a second speech coding scheme, said apparatus comprising: a discrimination unit configured to, via said at least one processor, input said first code sequence, and to discriminate whether said first code sequence corresponds to a speech part or to a non-speech part and generates a discrimination result; a speech part conversion unit configured to, via said at least one processor, input said first code sequence, and to convert said first code sequence into said second code sequence and to output said second code sequence, when the discrimination result indicates the speech part; a switch unit configured to, via said at least one processor, stop said first code sequence when the discrimination result indicates the non-speech part: and a non-speech part generating unit configured to, via said at least one processor, encode pre-determined one or more sound signals corresponding to non-speech including silence, noise and tones into codes by said second speech coding scheme, to pre-store the codes encoded by said second speech coding scheme, and to generate said second code sequence by reading said pre-stored codes corresponding to a value based on said discrimination result, and to output the generated second code sequence, when the discrimination result indicates the non-speech part. | 11. Code conversion apparatus including at least one processor, and configured to convert a first code sequence conforming to a first speech coding scheme into a second code sequence conforming to a second speech coding scheme, said apparatus comprising: a discrimination unit configured to, via said at least one processor, input said first code sequence, and to discriminate whether said first code sequence corresponds to a speech part or to a non-speech part and generates a discrimination result; a speech part conversion unit configured to, via said at least one processor, input said first code sequence, and to convert said first code sequence into said second code sequence and to output said second code sequence, when the discrimination result indicates the speech part; a switch unit configured to, via said at least one processor, stop said first code sequence when the discrimination result indicates the non-speech part: and a non-speech part generating unit configured to, via said at least one processor, encode pre-determined one or more sound signals corresponding to non-speech including silence, noise and tones into codes by said second speech coding scheme, to pre-store the codes encoded by said second speech coding scheme, and to generate said second code sequence by reading said pre-stored codes corresponding to a value based on said discrimination result, and to output the generated second code sequence, when the discrimination result indicates the non-speech part. 18. The apparatus as claimed in claim 11 , wherein said first speech coding scheme and said second speech coding scheme are identical. | 0.583195 |
7. A data collection system comprising: a data collection terminal having an encoded information reader device, the data collection terminal responsive to configuration data expressed in an extensible markup language for configuring operation of the data collection terminal; and a computer spaced apart from the data collection terminal that uses an existing extensible markup language document to create a data entry screen to receive desired parameter settings for the data collection terminal within data entry fields, combines the extensible markup language document with the desired parameter settings to create configuration data expressed in an extensible markup language, and initiates a transfer of the configuration data to said data collection terminal. | 7. A data collection system comprising: a data collection terminal having an encoded information reader device, the data collection terminal responsive to configuration data expressed in an extensible markup language for configuring operation of the data collection terminal; and a computer spaced apart from the data collection terminal that uses an existing extensible markup language document to create a data entry screen to receive desired parameter settings for the data collection terminal within data entry fields, combines the extensible markup language document with the desired parameter settings to create configuration data expressed in an extensible markup language, and initiates a transfer of the configuration data to said data collection terminal. 24. The data collection system of claim 7 , wherein the desired parameter settings include parameter settings for configuring a communication device on the data collection terminal. | 0.768343 |
8. A system, comprising: a data processing apparatus; and a memory coupled to the data processing apparatus having instructions stored thereon which, when executed by the data processing apparatus cause the data processing apparatus to perform operations comprising: obtaining a trained image relevance model that generates relevance measures of images to a query; and re-training the image relevance model, the re-training comprising: generating an aggregation of near duplicate images among a set of training images; associating image selection data of the aggregated near duplicate images with the aggregation of the near duplicate images, the image selection data corresponding to user interactions with the near duplicate images when the near duplicate images were presented as search results; and generating a re-trained image relevance model based on content feature values of each image in the aggregation of near duplicate images and the image selection data associated with the aggregation of near duplicate images. | 8. A system, comprising: a data processing apparatus; and a memory coupled to the data processing apparatus having instructions stored thereon which, when executed by the data processing apparatus cause the data processing apparatus to perform operations comprising: obtaining a trained image relevance model that generates relevance measures of images to a query; and re-training the image relevance model, the re-training comprising: generating an aggregation of near duplicate images among a set of training images; associating image selection data of the aggregated near duplicate images with the aggregation of the near duplicate images, the image selection data corresponding to user interactions with the near duplicate images when the near duplicate images were presented as search results; and generating a re-trained image relevance model based on content feature values of each image in the aggregation of near duplicate images and the image selection data associated with the aggregation of near duplicate images. 14. The system of claim 8 , wherein generating a re-trained image relevance model based on content feature values of the aggregation of near duplicate images and the image selection data associated with the aggregation of near duplicate images comprises generating the re-trained image relevance model based on content features of a single representation of the aggregation of near duplicate images and a single selection value based on the image selection data of the aggregation of near duplicate images. | 0.50037 |
1. One or more computer-readable storage media comprising computer-executable instructions for providing linguistic services, the computer-executable instructions directed to steps comprising: receiving linguistic input in a first language from a user; generating a text-based linguistic input in the first language by recognizing the received linguistic input; utilizing machine translation to translate the text-based linguistic input from the first language into a second language differing from the first language; providing the translated text-based linguistic input, in the second language, to pre-existing components providing linguistic services that operate in the context of the second language; receiving, from the pre-existing components, output that is responsive to the linguistic input, the output being provided in the second language; utilizing the machine translation to translate the output in the second language into the first language; generating output that is receivable by the user in accordance with the translated output in the first language. | 1. One or more computer-readable storage media comprising computer-executable instructions for providing linguistic services, the computer-executable instructions directed to steps comprising: receiving linguistic input in a first language from a user; generating a text-based linguistic input in the first language by recognizing the received linguistic input; utilizing machine translation to translate the text-based linguistic input from the first language into a second language differing from the first language; providing the translated text-based linguistic input, in the second language, to pre-existing components providing linguistic services that operate in the context of the second language; receiving, from the pre-existing components, output that is responsive to the linguistic input, the output being provided in the second language; utilizing the machine translation to translate the output in the second language into the first language; generating output that is receivable by the user in accordance with the translated output in the first language. 3. The computer-readable storage media of claim 1 , wherein the computer-executable instructions for generating the output that is receivable by the user comprise text-to-speech computer-executable instructions. | 0.74051 |
18. A system for use in communicating speech signals to a receiving party, the system comprising: a transducer for converting speech utterances of a speaker into a wideband electronic waveform; a speaker-dependent data generator adapted to generate speaker-dependent data correlating narrowband versions of speech utterances of the speaker with corresponding wideband versions of the speech utterances of the speaker, where the wideband versions of the speech utterances of the speaker correspond to the wideband electronic waveform provided through operation of the transducer; a transmitter adapted to transmit the speaker-dependent data as well as a narrowband signal corresponding to a narrowband version of the speech utterances of the speaker, where the narrowband version of the speech utterances of the speaker comprise the speech utterances that are to be communicated to a receiving party. | 18. A system for use in communicating speech signals to a receiving party, the system comprising: a transducer for converting speech utterances of a speaker into a wideband electronic waveform; a speaker-dependent data generator adapted to generate speaker-dependent data correlating narrowband versions of speech utterances of the speaker with corresponding wideband versions of the speech utterances of the speaker, where the wideband versions of the speech utterances of the speaker correspond to the wideband electronic waveform provided through operation of the transducer; a transmitter adapted to transmit the speaker-dependent data as well as a narrowband signal corresponding to a narrowband version of the speech utterances of the speaker, where the narrowband version of the speech utterances of the speaker comprise the speech utterances that are to be communicated to a receiving party. 19. The system of claim 18 , where the speaker-dependent data generator comprises: a wideband linear predictive code generator adapted to generate linear predictive codes for wideband versions of the speech utterances using wideband electronic waveforms provided through operation of the transducer; a narrowband filter generating narrowband versions of speech utterances of the speaker using wideband electronic waveforms provided through operation of the transducer; a narrowband linear predictive code generator adapted to generate linear predictive codes for narrowband versions of the speech utterances provided by the narrowband filter; and a correlator for associating the linear predictive codes generated by the wideband linear predictive code generator with the linear predictive codes generated by the narrowband linear predictive code generator. | 0.607483 |
1. A method of monitoring transactions stored in an enterprise database comprising a plurality of source records and a plurality of source fields in each of the plurality of source records, the method comprising: identifying, by a computer system, a subset of source fields of the plurality of source fields; during an initial extraction, capturing, by the computer system, initial information from the subset of source fields in a first source record, of the subset of source records, corresponding a monitored entity; storing, by the computer system, the initial information in a staging database; transforming, by the computer system, the initial information into a first monitoring entity by storing the initial information in a plurality of target fields of a first target record of a plurality of target records in a monitoring database based on an ontology describing a mapping between the plurality of source fields and the plurality of target fields; during a subsequent extraction, occurring after the initial extraction, capturing, by the computer system, subsequent information from the subset of source fields in the first source record corresponding the monitored entity; storing, by the computer system, the subsequent information in the staging database; transforming, by the computer system, the subsequent information into a second monitoring entity by storing the subsequent information in the plurality of target fields of a second target record of the plurality of target records in the monitoring database based on the ontology describing the mapping between the plurality of source fields and the plurality of target fields; and processing, by the computer system, the first monitoring entity and the second monitoring entity to identify an occurrence of improper activity with respect to the monitored entity. | 1. A method of monitoring transactions stored in an enterprise database comprising a plurality of source records and a plurality of source fields in each of the plurality of source records, the method comprising: identifying, by a computer system, a subset of source fields of the plurality of source fields; during an initial extraction, capturing, by the computer system, initial information from the subset of source fields in a first source record, of the subset of source records, corresponding a monitored entity; storing, by the computer system, the initial information in a staging database; transforming, by the computer system, the initial information into a first monitoring entity by storing the initial information in a plurality of target fields of a first target record of a plurality of target records in a monitoring database based on an ontology describing a mapping between the plurality of source fields and the plurality of target fields; during a subsequent extraction, occurring after the initial extraction, capturing, by the computer system, subsequent information from the subset of source fields in the first source record corresponding the monitored entity; storing, by the computer system, the subsequent information in the staging database; transforming, by the computer system, the subsequent information into a second monitoring entity by storing the subsequent information in the plurality of target fields of a second target record of the plurality of target records in the monitoring database based on the ontology describing the mapping between the plurality of source fields and the plurality of target fields; and processing, by the computer system, the first monitoring entity and the second monitoring entity to identify an occurrence of improper activity with respect to the monitored entity. 2. The method of claim 1 wherein processing the first monitoring entity and the second monitoring entity to identify the occurrence of improper activity with respect to the monitored entity comprising comparing the first monitoring entity to the second monitoring entity. | 0.5 |
16. A non-transitory computer-readable storage medium with an executable program for prioritizing choices for selection by a user stored thereon, wherein the program instructs a processor to perform: identifying a current context of a computer program; determining at least one related context that forms a hierarchical relationship with said current context; determining whether there are related contexts that form an association relationship with said current context, where the association relationship is a predetermined relationship established between contexts that is independent from the hierarchical relationship; determining a user history of weighted menu choice selections with respect to said current context, each weight corresponding to the relative likelihood of the associated menu choice selection being selected by a user; receiving an indication that a user has made a menu choice selection based upon said weighted menu choice selections of said user history associated with said current context; updating said user history of said current context by updating said weight associated with said user's menu choice selection; updating an associated user history of related contexts within said hierarchical relationship in which the selected user's menu choice also exists, by updating a weight associated with said user's menu choice selection in that user history by a predetermined value, wherein the value is based upon a distance from said current context within said hierarchical relationship; updating an associated user history of each related context that forms an association relationship with said current context in which the selected user's menu choice also exists by updating a weight associated with said user's menu choice selection in that user history; identifying, by a computing device, a second context of said computer program where the second context is set to the current context; determining weighted menu choices for said second context of said computer program based on said user history; and creating for presentation, a list of said weighted menu choices for selection by said user in said second context. | 16. A non-transitory computer-readable storage medium with an executable program for prioritizing choices for selection by a user stored thereon, wherein the program instructs a processor to perform: identifying a current context of a computer program; determining at least one related context that forms a hierarchical relationship with said current context; determining whether there are related contexts that form an association relationship with said current context, where the association relationship is a predetermined relationship established between contexts that is independent from the hierarchical relationship; determining a user history of weighted menu choice selections with respect to said current context, each weight corresponding to the relative likelihood of the associated menu choice selection being selected by a user; receiving an indication that a user has made a menu choice selection based upon said weighted menu choice selections of said user history associated with said current context; updating said user history of said current context by updating said weight associated with said user's menu choice selection; updating an associated user history of related contexts within said hierarchical relationship in which the selected user's menu choice also exists, by updating a weight associated with said user's menu choice selection in that user history by a predetermined value, wherein the value is based upon a distance from said current context within said hierarchical relationship; updating an associated user history of each related context that forms an association relationship with said current context in which the selected user's menu choice also exists by updating a weight associated with said user's menu choice selection in that user history; identifying, by a computing device, a second context of said computer program where the second context is set to the current context; determining weighted menu choices for said second context of said computer program based on said user history; and creating for presentation, a list of said weighted menu choices for selection by said user in said second context. 17. The non-transitory computer-readable storage medium according to claim 16 , wherein the program further instructs the processor to perform filtering said weighted menu choices to select a smaller number of weighted menu choices for the list of said weighted menu choices. | 0.584062 |
1. A method for improving the searching of an audio stream with improved accuracy, the method comprising: gathering the audio stream carrying voice of an unknown speaker, by a call recording system; determining a plurality of acoustic models; indexing said audio stream using said plurality of acoustic models to generate a plurality of phonetic search tracks, at least one of the plurality of phonetic search tracks comprising a first sequence of phonemes; collecting at least one keyword; processing said plurality of phonetic search tracks and said at least one keyword to obtain a plurality of search results by matching a pattern of phonemes in the at least one keyword with a pattern of phonemes in each of said plurality of phonetic search tracks, such that each of said plurality of search results corresponds to one of said plurality of acoustic models, and each of said plurality of search results indicates whether the at least one keyword was found in one of said plurality of search tracks, wherein each of said plurality of search results includes at least one hit indicating detection of the at least one keyword within one of said plurality of phonetic search tracks, the at least one hit having a time offset; and combining said plurality of search results into a unified search result˜said combining comprising: grouping at least two hits having time offsets which differ in at most a predetermined threshold into a cluster; and determining a single hit from the cluster as the unified search result, the single hit indicating that the at least one keyword appears in the audio stream; and wherein each of said plurality of acoustic models represents a language or dialect. | 1. A method for improving the searching of an audio stream with improved accuracy, the method comprising: gathering the audio stream carrying voice of an unknown speaker, by a call recording system; determining a plurality of acoustic models; indexing said audio stream using said plurality of acoustic models to generate a plurality of phonetic search tracks, at least one of the plurality of phonetic search tracks comprising a first sequence of phonemes; collecting at least one keyword; processing said plurality of phonetic search tracks and said at least one keyword to obtain a plurality of search results by matching a pattern of phonemes in the at least one keyword with a pattern of phonemes in each of said plurality of phonetic search tracks, such that each of said plurality of search results corresponds to one of said plurality of acoustic models, and each of said plurality of search results indicates whether the at least one keyword was found in one of said plurality of search tracks, wherein each of said plurality of search results includes at least one hit indicating detection of the at least one keyword within one of said plurality of phonetic search tracks, the at least one hit having a time offset; and combining said plurality of search results into a unified search result˜said combining comprising: grouping at least two hits having time offsets which differ in at most a predetermined threshold into a cluster; and determining a single hit from the cluster as the unified search result, the single hit indicating that the at least one keyword appears in the audio stream; and wherein each of said plurality of acoustic models represents a language or dialect. 9. The method according to claim 1 wherein each of the plurality of acoustic models represents phonemes. | 0.560238 |
5. An output method for outputting by a computer a translation made by said computer, comprising the steps of: identifying a coined word spelled differently from standard orthography in a source text input into said computer; determining a part of speech and attributes of the coined word in the source text input; and outputting the translation made from said source text containing said coined word; wherein if the coined word has an emphatic attribute, said step of outputting the translation applies an emphasized target-language word equivalent to said coined word identified in said identifying step and associated with the emphatic attribute and outputs said translation. | 5. An output method for outputting by a computer a translation made by said computer, comprising the steps of: identifying a coined word spelled differently from standard orthography in a source text input into said computer; determining a part of speech and attributes of the coined word in the source text input; and outputting the translation made from said source text containing said coined word; wherein if the coined word has an emphatic attribute, said step of outputting the translation applies an emphasized target-language word equivalent to said coined word identified in said identifying step and associated with the emphatic attribute and outputs said translation. 6. The output method according to claim 5 , wherein said step of outputting the translation highlights said target-language word by providing a predetermined appearance to said target-language word or altering the font of said target-language word. | 0.804089 |
1. A computer-implemented method, comprising: on a search engine having one or more processors and memory storing programs to be executed by the search engine, the search engine remotely located from a client: monitoring a plurality of search engine queries received from a user of the client; logging the plurality of queries, wherein the logged queries are historical queries submitted by the user to the search engine; generating a content feed of logged queries, the content feed including the plurality of logged queries; and transmitting the content feed to the client for display in a client application associated with the user. | 1. A computer-implemented method, comprising: on a search engine having one or more processors and memory storing programs to be executed by the search engine, the search engine remotely located from a client: monitoring a plurality of search engine queries received from a user of the client; logging the plurality of queries, wherein the logged queries are historical queries submitted by the user to the search engine; generating a content feed of logged queries, the content feed including the plurality of logged queries; and transmitting the content feed to the client for display in a client application associated with the user. 7. The method of claim 1 , wherein a respective logged query of the logged queries includes one or more search operators and one or more search options. | 0.618156 |
12. A rosary card as set forth in claim 10 wherein certain of said cutouts are circular and one of said cutouts is in the form of a cross. | 12. A rosary card as set forth in claim 10 wherein certain of said cutouts are circular and one of said cutouts is in the form of a cross. 13. A rosary card as set forth in claim 12 including at least one photo of a religious figure on said card. | 0.966712 |
10. A system comprising: a memory; one or more processors coupled to the memory to perform acts comprising: providing a spatial map containing geographical regions partitioned with points of interests based at least in part on representative categories; identifying a user-specified region with two or more points of interests in each of one or more representative categories in the spatial map; searching for a set of geographical region candidates with another two or more points of interests in each of the one or more representative categories based at least in part on a spatial similarity to comparable points of interest in a representative category in the user-specified region, the spatial similarity comprises comparable distribution of the two or more points of interests in the representative categories; and presenting top geographical region candidates based on a result of the searching. | 10. A system comprising: a memory; one or more processors coupled to the memory to perform acts comprising: providing a spatial map containing geographical regions partitioned with points of interests based at least in part on representative categories; identifying a user-specified region with two or more points of interests in each of one or more representative categories in the spatial map; searching for a set of geographical region candidates with another two or more points of interests in each of the one or more representative categories based at least in part on a spatial similarity to comparable points of interest in a representative category in the user-specified region, the spatial similarity comprises comparable distribution of the two or more points of interests in the representative categories; and presenting top geographical region candidates based on a result of the searching. 11. The system of claim 10 , wherein the geographical regions are partitioned by imposing a grid on the spatial map to determine an inverse region frequency of the representative category. | 0.805608 |
1. A method for generating a flowchart for a test program, comprising: selecting, using a processor, one of a plurality of programming language configuration files stored in at least one memory component, based on a programming language of the test program, each of the programming language configuration files being specific to one programming language and including regular expressions to identify lines of program code of the test program using keywords and constructs of the programming language; selecting, using a processor, one of a plurality of test station configuration files stored in at least one memory component, based on a test station for which the test program is written, each of the test station configuration files being specific to one test station and including regular expressions to identify lines of code of the test program that use application programming interfaces (APIs) to control specific instruments of the test station; parsing the test program into parsed data, using a processor and the regular expressions in the selected one of the programming language configuration files and the regular expressions in the selected one of the test station configuration files; and interpreting, using a processor, the parsed data to enable generation of the flowchart. | 1. A method for generating a flowchart for a test program, comprising: selecting, using a processor, one of a plurality of programming language configuration files stored in at least one memory component, based on a programming language of the test program, each of the programming language configuration files being specific to one programming language and including regular expressions to identify lines of program code of the test program using keywords and constructs of the programming language; selecting, using a processor, one of a plurality of test station configuration files stored in at least one memory component, based on a test station for which the test program is written, each of the test station configuration files being specific to one test station and including regular expressions to identify lines of code of the test program that use application programming interfaces (APIs) to control specific instruments of the test station; parsing the test program into parsed data, using a processor and the regular expressions in the selected one of the programming language configuration files and the regular expressions in the selected one of the test station configuration files; and interpreting, using a processor, the parsed data to enable generation of the flowchart. 22. The method of claim 1 , further comprising selecting, using the processor or a different processor, one of a plurality of flowcharting configuration files, based on the selected one of the test station configuration files; and interpreting, using the processor or a different processor and the selected one of the flowcharting configuration files, the parsed data with algorithms that cause generation of the flowchart according to definitions defined in the selected one of the flowcharting configuration files. | 0.502465 |
15. A computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising: updating a grammar based on a searchable plurality of presentation source files stored on a storage device connected to a presentation device via a network, to yield an updated grammar, wherein the searchable plurality of presentation source files is processed by extracting content from each searchable presentation source file to generate: (1) a web-based form of each searchable presentation source file; (2) a list of key phrases; and (3) a corpus of all sentences that appear in all the searchable presentation source files; receiving, from a user, a spoken natural language content request for a presentation source file from the searchable plurality of presentation source files; identifying a list of presentation source files in the searchable plurality of presentation source files, wherein the list of presentation source files is identified by using the updated grammar; receiving, from the user, input identifying the presentation source file from the a list of presentation source files, wherein the input is in a modality distinct from speech; and adding the presentation source file to a deck for use in a presentation using the presentation device. | 15. A computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising: updating a grammar based on a searchable plurality of presentation source files stored on a storage device connected to a presentation device via a network, to yield an updated grammar, wherein the searchable plurality of presentation source files is processed by extracting content from each searchable presentation source file to generate: (1) a web-based form of each searchable presentation source file; (2) a list of key phrases; and (3) a corpus of all sentences that appear in all the searchable presentation source files; receiving, from a user, a spoken natural language content request for a presentation source file from the searchable plurality of presentation source files; identifying a list of presentation source files in the searchable plurality of presentation source files, wherein the list of presentation source files is identified by using the updated grammar; receiving, from the user, input identifying the presentation source file from the a list of presentation source files, wherein the input is in a modality distinct from speech; and adding the presentation source file to a deck for use in a presentation using the presentation device. 20. The computer-readable storage device of claim 15 , wherein the updating, the receiving of the spoken natural language content request, the identifying of the list of presentation source files, the receiving of the input identifying the presentation source file, and the adding of the presentation source file all occur as the presentation device presents the presentation. | 0.5 |
1. A method for maintaining consumer privacy in behavioral scoring, comprising: receiving, by a receiver of a first computing system, a plurality of account identifiers, and, for each account identifier, a corresponding first encrypted account identifier and corresponding disguised set of consumer characteristics from a second computing system, wherein the first encrypted account identifier is a produced via encryption of the corresponding account identifier using a first one-way encryption, and wherein the receiver of the first computing system is configured to encrypt each account identifier into a second encrypted account identifier using a second one-way encryption upon receipt; receiving, by the receiver of the first computing system, a plurality of transaction data entries, wherein each transaction data entry includes data related to a payment transaction including at least a second encrypted account identifier and transaction data; and generating, by a processor of the first computing system, an algorithm configured to calculate a behavior prediction score corresponding to the behavior prediction request using disguised consumer characteristic values, wherein the generated algorithm is based on at least the transaction data included in each received transaction data entry and the disguised set of consumer characteristics mapped to the second encrypted account identifier included in the respective transaction data entry, wherein the first computing system does not receive any unencrypted account identifiers, any undisguised consumer characteristics, or any personally identifiable information. | 1. A method for maintaining consumer privacy in behavioral scoring, comprising: receiving, by a receiver of a first computing system, a plurality of account identifiers, and, for each account identifier, a corresponding first encrypted account identifier and corresponding disguised set of consumer characteristics from a second computing system, wherein the first encrypted account identifier is a produced via encryption of the corresponding account identifier using a first one-way encryption, and wherein the receiver of the first computing system is configured to encrypt each account identifier into a second encrypted account identifier using a second one-way encryption upon receipt; receiving, by the receiver of the first computing system, a plurality of transaction data entries, wherein each transaction data entry includes data related to a payment transaction including at least a second encrypted account identifier and transaction data; and generating, by a processor of the first computing system, an algorithm configured to calculate a behavior prediction score corresponding to the behavior prediction request using disguised consumer characteristic values, wherein the generated algorithm is based on at least the transaction data included in each received transaction data entry and the disguised set of consumer characteristics mapped to the second encrypted account identifier included in the respective transaction data entry, wherein the first computing system does not receive any unencrypted account identifiers, any undisguised consumer characteristics, or any personally identifiable information. 4. The method of claim 1 , further comprising: transmitting, by a transmitter of the first computing system, at least the generated algorithm. | 0.595522 |
8. A system, comprising: a processing unit, computer readable memory and a computer readable storage system; first program instructions to select a set of experts that each have higher value metrics scores relative to value metric scores of other unselected experts of a population of known experts and that are indicative of an expertise relevant to at least one question in a plurality of survey questions and to expand the selected set of experts by adding experts from the population of known experts that are noted in referrals in answers received in response to questions of a plurality of survey questions sent to the selected set of experts; second program instructions to determine a degree of correlation of an answer within said response received from the associated expert to an expected answer; third program instructions to update the value metric scores of the experts as a function of a timeliness of the response received from an associated expert and of the determined degree of correlation of the answer; and fourth program instructions to update the plurality of survey questions by removing questions satisfied by response answers from the selected set of experts and send out the updated plurality questions to the selected expert sets until each question in the updated plurality of survey questions is satisfied and removed as determined by iterative repetitive application of the first, second and third instructions; and wherein the first, second, third and fourth program instructions are stored on the computer readable storage system for execution by the processing unit via the computer readable memory. | 8. A system, comprising: a processing unit, computer readable memory and a computer readable storage system; first program instructions to select a set of experts that each have higher value metrics scores relative to value metric scores of other unselected experts of a population of known experts and that are indicative of an expertise relevant to at least one question in a plurality of survey questions and to expand the selected set of experts by adding experts from the population of known experts that are noted in referrals in answers received in response to questions of a plurality of survey questions sent to the selected set of experts; second program instructions to determine a degree of correlation of an answer within said response received from the associated expert to an expected answer; third program instructions to update the value metric scores of the experts as a function of a timeliness of the response received from an associated expert and of the determined degree of correlation of the answer; and fourth program instructions to update the plurality of survey questions by removing questions satisfied by response answers from the selected set of experts and send out the updated plurality questions to the selected expert sets until each question in the updated plurality of survey questions is satisfied and removed as determined by iterative repetitive application of the first, second and third instructions; and wherein the first, second, third and fourth program instructions are stored on the computer readable storage system for execution by the processing unit via the computer readable memory. 9. The system of claim 8 , wherein the third program instructions to update the value metric scores of experts are further to: increase the value metric score of a first expert as a function of an elapsed time of a response of the first expert to a sent survey question that is less than a normal response time; and decrease the value metric score of a second expert in response to a failure to receive a response to a sent survey question from the second expert within an allowable time for response to the sent survey question. | 0.610864 |
1. A method for selecting at least one product record for embedding into a document and display with the document in a user interface, the method comprising: analyzing, with a computing device, at least a portion of the document, the analysis including at least a frequency of words in the document; constructing, with a computing device, a query search string based on the analysis of the document, the query search string at least partially based on words of the document having the highest frequencies; applying, with a computing device, the query search string to a products database, the products database including a plurality of product records which include information regarding products, to identify at least one product record in the products database that satisfies the query search string; selecting, with a computing device, at least one of the identified product records for embedding into the document and display in the user interface, and embedding, with a computing device, at least one of the selected product records into the document for display in the user interface, wherein the document is not stored within the products database. | 1. A method for selecting at least one product record for embedding into a document and display with the document in a user interface, the method comprising: analyzing, with a computing device, at least a portion of the document, the analysis including at least a frequency of words in the document; constructing, with a computing device, a query search string based on the analysis of the document, the query search string at least partially based on words of the document having the highest frequencies; applying, with a computing device, the query search string to a products database, the products database including a plurality of product records which include information regarding products, to identify at least one product record in the products database that satisfies the query search string; selecting, with a computing device, at least one of the identified product records for embedding into the document and display in the user interface, and embedding, with a computing device, at least one of the selected product records into the document for display in the user interface, wherein the document is not stored within the products database. 16. The method of claim 1 , wherein the at least one of the selected product records is embedded into the document using markup language. | 0.513083 |
18. A computer--implemented method for scripting exported application program functions comprising the steps of: forming an initialization file that includes a dynamic link library list for an entry point to the exported application program function; instantiating a script interpreter, the script interpreter being responsive to a trigger event to trigger an attached script; attaching a script to the script interpreter, the script defining a script event by which the script is triggered, the script further including script commands including commands to execute the exported application program function; indexing into the script interpreter a correlation list of attached scripts and script events by which the attached scripts are triggered; executing the application program to detect a trigger event and providing the script interpreter with the detected trigger event; and executing the script interpreter in response to a detected trigger event, said executing step including the step of interpreting the script commands in the attached script that corresponds to the trigger event listed in the correlation list of attached scripts, said interpreting step including the step of executing the exported application program function based on the entry point listed in the dynamic link library in response to interpreting a script command to execute the exported application program function. | 18. A computer--implemented method for scripting exported application program functions comprising the steps of: forming an initialization file that includes a dynamic link library list for an entry point to the exported application program function; instantiating a script interpreter, the script interpreter being responsive to a trigger event to trigger an attached script; attaching a script to the script interpreter, the script defining a script event by which the script is triggered, the script further including script commands including commands to execute the exported application program function; indexing into the script interpreter a correlation list of attached scripts and script events by which the attached scripts are triggered; executing the application program to detect a trigger event and providing the script interpreter with the detected trigger event; and executing the script interpreter in response to a detected trigger event, said executing step including the step of interpreting the script commands in the attached script that corresponds to the trigger event listed in the correlation list of attached scripts, said interpreting step including the step of executing the exported application program function based on the entry point listed in the dynamic link library in response to interpreting a script command to execute the exported application program function. 19. A method according to claim 18, wherein said initialization file forming step includes the step of forming an initialization file of entry points for utility functions, and wherein the attached script includes script commands to execute utility functions. | 0.5 |
3. The system of claim 1 , wherein each object is based on an abstract base type object having one or more general characteristics elements of an object and one or more semantic property elements, and a plurality of base components, each base component being a child of the abstract base type object and inheriting the one or more general characteristics, each base component being a container item kind that describes a type of object and encapsulates the particular type of object wherein each type of object associated with the system is represented by the abstract base type object and one of the base components. | 3. The system of claim 1 , wherein each object is based on an abstract base type object having one or more general characteristics elements of an object and one or more semantic property elements, and a plurality of base components, each base component being a child of the abstract base type object and inheriting the one or more general characteristics, each base component being a container item kind that describes a type of object and encapsulates the particular type of object wherein each type of object associated with the system is represented by the abstract base type object and one of the base components. 4. The system of claim 3 , wherein the one or more general characteristic elements of an object further comprises a LogicalServerID element, a ContentSize element, a CreatedBy element, a CreationTime element, an ItemID element, a KindID element, a LastModified element, a Title element, or an UpdatedBy element. | 0.921529 |
1. A method of training a machine translation computing device to generate confidence scores indicative of a quality of a translation result, comprising: translating a source string with a machine translation computing device to generate a target string; extracting features from the machine translator, indicative of performance of translation steps in the machine translator; obtaining a trusted entity-assigned translation score indicative of a trusted entity-assigned translation quality of the target string; identifying a relationship between a subset of the extracted features and the trusted entity-assigned translation score; parsing the source string into a source intermediate linguistic structure indicative of a meaning of the source string; wherein translating includes translating the source intermediate linguistic structure to a target intermediate linguistic structure; wherein translating the source intermediate linguistic structure comprises identifying mappings, in a mapping database, that map portions of the source intermediate linguistic structure to portions of the target intermediate linguistic structure; and wherein extracting one or more features indicative of a quality of transiating the source intermediate linguistic structure comprises extracting a feature indicative of a number of identified mappings. | 1. A method of training a machine translation computing device to generate confidence scores indicative of a quality of a translation result, comprising: translating a source string with a machine translation computing device to generate a target string; extracting features from the machine translator, indicative of performance of translation steps in the machine translator; obtaining a trusted entity-assigned translation score indicative of a trusted entity-assigned translation quality of the target string; identifying a relationship between a subset of the extracted features and the trusted entity-assigned translation score; parsing the source string into a source intermediate linguistic structure indicative of a meaning of the source string; wherein translating includes translating the source intermediate linguistic structure to a target intermediate linguistic structure; wherein translating the source intermediate linguistic structure comprises identifying mappings, in a mapping database, that map portions of the source intermediate linguistic structure to portions of the target intermediate linguistic structure; and wherein extracting one or more features indicative of a quality of transiating the source intermediate linguistic structure comprises extracting a feature indicative of a number of identified mappings. 10. The method of claim 1 wherein extracting features comprises: calculating a perplexity of the target string with a statistical language model. | 0.556172 |
1. A method for real-time correlating between requests to a web server and requests to a database server, comprising: identifying correlated pairs of structured query language (SQL) templates and uniform resource locators (URLs); for each incoming request to the database server, binding a web application context in which the request to the database server is made; wherein identifying the correlated pairs of SQL templates and URLs, further comprises: creating a first matrix, wherein each row of the first matrix represents a URL and each column represents a SQL template and wherein each entry in the first matrix includes a counter; extracting the URL from an incoming HTTP request; inserting the URL to an available row in the first matrix; adding the incoming HTTP request to a list of pending HTTP requests for the URL: converting an incoming SQL query to a SQL template; inserting the SQL template to an available column in the first matrix; incrementing the counter of each entry of a respective URL that has at least one pending HTTP request; and marking all entries in the first matrix having a counter's value greater than a predefined threshold. | 1. A method for real-time correlating between requests to a web server and requests to a database server, comprising: identifying correlated pairs of structured query language (SQL) templates and uniform resource locators (URLs); for each incoming request to the database server, binding a web application context in which the request to the database server is made; wherein identifying the correlated pairs of SQL templates and URLs, further comprises: creating a first matrix, wherein each row of the first matrix represents a URL and each column represents a SQL template and wherein each entry in the first matrix includes a counter; extracting the URL from an incoming HTTP request; inserting the URL to an available row in the first matrix; adding the incoming HTTP request to a list of pending HTTP requests for the URL: converting an incoming SQL query to a SQL template; inserting the SQL template to an available column in the first matrix; incrementing the counter of each entry of a respective URL that has at least one pending HTTP request; and marking all entries in the first matrix having a counter's value greater than a predefined threshold. 7. The method of claim 1 , further comprising adding pairs of SQL templates and URLs of marked entries of the first matrix to normal behavior profiles (NBPs). | 0.601787 |
1. A method for recognizing a spoken utterance from periodic samples of an electronic acoustic waveform, comprising automatically: (a) determining upper and lower bounding frequencies and amplitudes of profiled waves extracted from each sample; (b) grouping samples as posture spectra and changing spectra; (c) calculating beat prominences of posture and changing spectra from amplitudes of profiled waves; (d) identifying syllables from patterns of posture and changing spectra and beat prominences; (e) calculating syllable prominences from beat prominences; (f) identifying words from syllable patterns and syllable prominences; and (g) storing electronically a series of data entries, each data entry identifying words of the spoken utterance. | 1. A method for recognizing a spoken utterance from periodic samples of an electronic acoustic waveform, comprising automatically: (a) determining upper and lower bounding frequencies and amplitudes of profiled waves extracted from each sample; (b) grouping samples as posture spectra and changing spectra; (c) calculating beat prominences of posture and changing spectra from amplitudes of profiled waves; (d) identifying syllables from patterns of posture and changing spectra and beat prominences; (e) calculating syllable prominences from beat prominences; (f) identifying words from syllable patterns and syllable prominences; and (g) storing electronically a series of data entries, each data entry identifying words of the spoken utterance. 6. The method of claim 1 wherein step (d) comprises using patterns of posture and changing spectra and beat prominences to access a database containing prestored patterns of posture and changing spectra and beat prominences of various syllables. | 0.5 |
2. The method of claim 1 , wherein the data objects of the first type are case objects. | 2. The method of claim 1 , wherein the data objects of the first type are case objects. 3. The method of claim 2 , wherein the data objects of the second type are solution objects. | 0.973152 |
21. A computer-readable e storage medium having a computer-readable program embodied therein for directing operation of a computer system including a processor and at least one input device, wherein the computer-readable program includes instructions for operating the computer system for optimizing a digital circuit design in accordance with the following: receiving a first representation of the digital circuit design from the at least one input device; translating the first representation of the digital circuit design to a second representation of the digital circuit design, the second representation comprising a plurality of syntactic expressions that admit a representation of a higher-order function of base Boolean values; and executing and syntactically manipulating the plurality of syntactic expressions to form a third representation of the digital circuit design, wherein manipulating step comprises reducing a number of nodes within the syntactic expressions. | 21. A computer-readable e storage medium having a computer-readable program embodied therein for directing operation of a computer system including a processor and at least one input device, wherein the computer-readable program includes instructions for operating the computer system for optimizing a digital circuit design in accordance with the following: receiving a first representation of the digital circuit design from the at least one input device; translating the first representation of the digital circuit design to a second representation of the digital circuit design, the second representation comprising a plurality of syntactic expressions that admit a representation of a higher-order function of base Boolean values; and executing and syntactically manipulating the plurality of syntactic expressions to form a third representation of the digital circuit design, wherein manipulating step comprises reducing a number of nodes within the syntactic expressions. 23. The computer-readable storage medium having the computer readable program embodied therein for directing operation of the computer system including the processor and at least one input device as recited in claim 21 , wherein the first and fourth representations identify sets of cell elements that comprise muitiplexers for implementing the digital design. | 0.556625 |
6. The method as claimed in claim 1 further comprising the steps of: searching for one or more further text strings in the reference image or the digital image of the GUI; and, identifying whether each of the one or more further text strings is a candidate string based on at least one first criteria associated with each said text string. | 6. The method as claimed in claim 1 further comprising the steps of: searching for one or more further text strings in the reference image or the digital image of the GUI; and, identifying whether each of the one or more further text strings is a candidate string based on at least one first criteria associated with each said text string. 9. The method as claimed in claim 6 comprising the steps of: identifying whether each said text string is a candidate text string, creating a rating for each identified candidate text string. | 0.845595 |
31. A stored program computer, comprising: a central processor and a memory; and in said memory, a computer-executable interface program for providing a graphical user interface to a computer database manager program, the interface program comprising: a graphic painter being programmed to allow an applications programmer to tailor associations between columns of a database table managed by said database manager program and associated editing styles, without access to source code of said interface program; each editing style specifying a display format and screen display position for data of the associated column, said graphic painter being programmed to allow said applications programmer to manipulate graphical figures on a display screen of a computer and thereby specify said column/style associations in correspondence to said graphical figures; the editing styles tailorable by said applications programmer further comprising extended column definitions of display characteristics for data of corresponding columns of said database table beyond those characteristics inherent in a data dictionary of said database table; a graphical user interface component programmed to provide said graphical user interface and allow a user to manipulate data of said database table, the behavior and appearance of said graphical user interface being determined by said column/style associations with said extended column definitions, said graphical user interface component being programmed to generate and issue commands to said database manager program to direct said database manager program to read data from and write data to said database table, said commands being determined in accordance with said column/style associations and in response to requests entered to said graphical user interface component by said user. | 31. A stored program computer, comprising: a central processor and a memory; and in said memory, a computer-executable interface program for providing a graphical user interface to a computer database manager program, the interface program comprising: a graphic painter being programmed to allow an applications programmer to tailor associations between columns of a database table managed by said database manager program and associated editing styles, without access to source code of said interface program; each editing style specifying a display format and screen display position for data of the associated column, said graphic painter being programmed to allow said applications programmer to manipulate graphical figures on a display screen of a computer and thereby specify said column/style associations in correspondence to said graphical figures; the editing styles tailorable by said applications programmer further comprising extended column definitions of display characteristics for data of corresponding columns of said database table beyond those characteristics inherent in a data dictionary of said database table; a graphical user interface component programmed to provide said graphical user interface and allow a user to manipulate data of said database table, the behavior and appearance of said graphical user interface being determined by said column/style associations with said extended column definitions, said graphical user interface component being programmed to generate and issue commands to said database manager program to direct said database manager program to read data from and write data to said database table, said commands being determined in accordance with said column/style associations and in response to requests entered to said graphical user interface component by said user. 37. The stored program computer of claim 31 wherein: said column/style associations specify whether or not retrieved data of the associated columns are modifiable. | 0.716175 |
3. The adaptive information processing system of claim 2 wherein data weighing and ranking includes user input and applications are used to effect weighing and source ranking, applications including at least one of the following: issue tracking and claim prediction and wherein data that has been weighed and source ranked can be subjected to at least one preprocess including at least one of the following: formatting, information extraction, indexing, ranking. | 3. The adaptive information processing system of claim 2 wherein data weighing and ranking includes user input and applications are used to effect weighing and source ranking, applications including at least one of the following: issue tracking and claim prediction and wherein data that has been weighed and source ranked can be subjected to at least one preprocess including at least one of the following: formatting, information extraction, indexing, ranking. 5. The adaptive information processing of claim 3 wherein system knowledge is inputted into the data warehouse and wherein integrated data produced in the data warehouse by the interactively proceeds through application to update system knowledge. | 0.919738 |
10. A system having at least one processor, storage, and a communication platform for providing query suggestions, the system comprising: a retrieving module configured to receive a prefix of a query from a user and identify a plurality of query suggestions based on the prefix of the query; a ranking module configured to compute an initial score for each of the plurality of query suggestions and adjusting the initial score of each of a first group of the plurality of query suggestions based on a first model to generate an updated score for the query suggestion and rank the plurality of query suggestions based on the updated scores for the first group of the plurality of query suggestions, wherein each of a first group of the plurality of query suggestions includes an entity that corresponds to the prefix, the first model is a function of an adjustable parameter associated with the query suggestion, and the adjustable parameter associated with the query suggestion is determined based on a category of the query suggestion and a length of the prefix; and a query suggestion evaluating module determining a quality measure, indicative of quality of the ranked plurality of query suggestions, based on interaction of the user with respect to the ranked plurality of query suggestions, for updating the first model based on the quality measure. | 10. A system having at least one processor, storage, and a communication platform for providing query suggestions, the system comprising: a retrieving module configured to receive a prefix of a query from a user and identify a plurality of query suggestions based on the prefix of the query; a ranking module configured to compute an initial score for each of the plurality of query suggestions and adjusting the initial score of each of a first group of the plurality of query suggestions based on a first model to generate an updated score for the query suggestion and rank the plurality of query suggestions based on the updated scores for the first group of the plurality of query suggestions, wherein each of a first group of the plurality of query suggestions includes an entity that corresponds to the prefix, the first model is a function of an adjustable parameter associated with the query suggestion, and the adjustable parameter associated with the query suggestion is determined based on a category of the query suggestion and a length of the prefix; and a query suggestion evaluating module determining a quality measure, indicative of quality of the ranked plurality of query suggestions, based on interaction of the user with respect to the ranked plurality of query suggestions, for updating the first model based on the quality measure. 15. The system of claim 10 , wherein the plurality of query suggestions include a first entity from a first category, a second entity from a second category, and a non-entity keyword, and the first model includes a first adjustable parameter for the first entity, a second adjustable parameter for the second entity, and a third adjustable parameter for the non-entity keyword. | 0.545175 |
1. A method comprising: receiving, in a graphical user interface area, first inputs specifying drag-and-drop operations with respect to icons representing documents, the drag-and-drop operations indicating that the documents are to be added to a workflow represented by the graphical user interface area; depicting the documents within the graphical user interface area in a particular order, wherein the particular order reflects dependencies between the documents, the particular order indicating at least that processing of a second document of the documents is dependent upon a first document output of a first document of the documents; processing the workflow to generate a first workflow output for the workflow, wherein processing the workflow comprises at least iteratively generating outputs for each of the documents, in accordance with the particular order, the outputs including the first document output and a second document output for the second document; wherein generating the first document output comprises executing instructions within the first document configured to cause deriving a data set from a data source external to the first document; wherein generating the second document output comprises executing instructions within the second document configured to cause generating one or more graphs based on the first document output; reprocessing the workflow to generate a second workflow output for the workflow, wherein the second workflow output differs from the first workflow output as a result of a change in the first document output; wherein the method is performed by one or more computing devices. | 1. A method comprising: receiving, in a graphical user interface area, first inputs specifying drag-and-drop operations with respect to icons representing documents, the drag-and-drop operations indicating that the documents are to be added to a workflow represented by the graphical user interface area; depicting the documents within the graphical user interface area in a particular order, wherein the particular order reflects dependencies between the documents, the particular order indicating at least that processing of a second document of the documents is dependent upon a first document output of a first document of the documents; processing the workflow to generate a first workflow output for the workflow, wherein processing the workflow comprises at least iteratively generating outputs for each of the documents, in accordance with the particular order, the outputs including the first document output and a second document output for the second document; wherein generating the first document output comprises executing instructions within the first document configured to cause deriving a data set from a data source external to the first document; wherein generating the second document output comprises executing instructions within the second document configured to cause generating one or more graphs based on the first document output; reprocessing the workflow to generate a second workflow output for the workflow, wherein the second workflow output differs from the first workflow output as a result of a change in the first document output; wherein the method is performed by one or more computing devices. 16. The method of claim 1 , wherein the data source is a third document of the documents. | 0.930124 |
5. A computer-implemented method comprising: under control of one or more computer systems configured with executable instructions, obtaining image information using a camera of a computing device; identifying an event associated with the image information; analyzing text associated with the event using at least one of a computer vision algorithm or an optical character recognition algorithm to identify the text in the image information; determining at least one action available to a user, the action being related to the event; and causing the computing device to perform the at least one action related to the event. | 5. A computer-implemented method comprising: under control of one or more computer systems configured with executable instructions, obtaining image information using a camera of a computing device; identifying an event associated with the image information; analyzing text associated with the event using at least one of a computer vision algorithm or an optical character recognition algorithm to identify the text in the image information; determining at least one action available to a user, the action being related to the event; and causing the computing device to perform the at least one action related to the event. 6. The computer-implemented method of claim 5 , wherein the at least one action is at least one of dialing a phone number, opening an email application for composing an email, navigating to a URL for the event, or displaying a map to show an address associated with the event. | 0.674545 |
11. A computer-implemented method for enforcing Security Enhanced Linux (SELinux) policy models, comprising: maintaining extended trusted computing attributes that specify extended trusted computing policies in a SELinux operating systems; generating an extended SELinux policy model that includes the extended policies; and enforcing, on a computing platform having a processor and trusted computing hardware, the extended policies for program access requests based on the extended SELinux policy model, in addition to SELinux Type Enforcement. | 11. A computer-implemented method for enforcing Security Enhanced Linux (SELinux) policy models, comprising: maintaining extended trusted computing attributes that specify extended trusted computing policies in a SELinux operating systems; generating an extended SELinux policy model that includes the extended policies; and enforcing, on a computing platform having a processor and trusted computing hardware, the extended policies for program access requests based on the extended SELinux policy model, in addition to SELinux Type Enforcement. 12. The computer-implemented method of claim 11 wherein the TC-related policies include general and dynamic subject and object attributes that specify TC-related policies. | 0.590403 |
5. A terminal comprising: a network interface; a processor; a memory; and a system bus configured to connect the network interface, the processor, and the memory, wherein the memory is configured to store a computer program, and wherein the processor is configured to run the computer program and cause the terminal to: select, according to a recognition grammar network, multiple command words from multiple command word-slots to generate multiple candidate texts, wherein the multiple command word-slots comprise multiple command words generated by splitting an action part of a recognition grammar into at least two levels; receive voice information; convert the voice information into digital voice information; extract a voice feature from the digital voice information; perform a matching calculation on the voice feature and a phoneme string corresponding to each candidate text in the multiple candidate texts to obtain a recognition result, wherein the recognition result comprises at least one command word and a label corresponding to the at least one command word; and recognize, according to the label corresponding to the at least one command word, an operation instruction corresponding to the voice information. | 5. A terminal comprising: a network interface; a processor; a memory; and a system bus configured to connect the network interface, the processor, and the memory, wherein the memory is configured to store a computer program, and wherein the processor is configured to run the computer program and cause the terminal to: select, according to a recognition grammar network, multiple command words from multiple command word-slots to generate multiple candidate texts, wherein the multiple command word-slots comprise multiple command words generated by splitting an action part of a recognition grammar into at least two levels; receive voice information; convert the voice information into digital voice information; extract a voice feature from the digital voice information; perform a matching calculation on the voice feature and a phoneme string corresponding to each candidate text in the multiple candidate texts to obtain a recognition result, wherein the recognition result comprises at least one command word and a label corresponding to the at least one command word; and recognize, according to the label corresponding to the at least one command word, an operation instruction corresponding to the voice information. 6. The terminal according to claim 5 , wherein to perform the matching calculation the processor is configured to: perform phoneme distance calculation on the voice feature and the phoneme string corresponding to each candidate text in the multiple candidate texts to obtain a distance value; and select a candidate text, which is corresponding to a phoneme string with a smallest distance value from the voice feature, as the recognition result. | 0.502767 |
1. A computer implemented method for providing a factuality assessment of a retrieved information source's statement comprising: with a processor: receiving a user's query which identifies an information source whose statements are to be retrieved; retrieving documents which refer to the information source; mapping statements in the retrieved documents to their authors; identifying as information source statements, the mapped statements that are mapped to an author which is compatible with the information source; for at least one of the information source's statements, assessing a factuality of the information source's statement according to the information source. | 1. A computer implemented method for providing a factuality assessment of a retrieved information source's statement comprising: with a processor: receiving a user's query which identifies an information source whose statements are to be retrieved; retrieving documents which refer to the information source; mapping statements in the retrieved documents to their authors; identifying as information source statements, the mapped statements that are mapped to an author which is compatible with the information source; for at least one of the information source's statements, assessing a factuality of the information source's statement according to the information source. 2. The method of claim 1 , wherein the factuality assessment is based on the form of the statement. | 0.679227 |
13. A schema design method performed by a processor, the schema design method comprising: loading a schema file into a first data structure; transforming the first data structure into a second data structure; providing, in the second data structure, a graphical view that visually coincides with a shape of an instance document; determining graphical indentations that correspond to a data representation associated with an underlying instance document; and displaying, in a simplified graphical data representation including the graphical indentations, layers of compositor elements within the graphical indentations including in-line expanded type definitions, and references in-line, and aligned sibling elements at an indentation level that reflects the shape of the instance document. | 13. A schema design method performed by a processor, the schema design method comprising: loading a schema file into a first data structure; transforming the first data structure into a second data structure; providing, in the second data structure, a graphical view that visually coincides with a shape of an instance document; determining graphical indentations that correspond to a data representation associated with an underlying instance document; and displaying, in a simplified graphical data representation including the graphical indentations, layers of compositor elements within the graphical indentations including in-line expanded type definitions, and references in-line, and aligned sibling elements at an indentation level that reflects the shape of the instance document. 14. The schema design method of claim 13 , further comprising associating the first data structure with an Extensible Markup Language (XML) Schema Development Language (XSD) and mirroring an Extensible Markup Language (XML) data structure in the second data structure. | 0.56749 |
1. A method of providing information related to a source document, the method comprising: receiving the source document from a client device via a communication network; accessing, using one or more hardware processors, the source document including numerical data and text, the source document displayed to a user in a graphical user interface (GUI) of the client device; generating, using the one or more hardware processors, discovered data that relates to the numerical data included in the source document, the generating the discovered data comprising generating the discovered data based on at least a machine learning model trained on a corpus that includes articles in a domain related to the source document; accessing, using the one or more hardware processors, a first database trained with a machine learning algorithm to identify time series related data associated with the text; accessing a second database including verified numerical data; comparing the discovered data with the verified numerical data; based on the comparison, verifying an accuracy of the discovered data to generate a verification indicator; communicating the discovered data with a discovered data identifier, the time series related data, a hyperlink to a webpage associated with at least the discovered data, and the verification indicator to the client device, via the communication network, for display in the GUI of the client device; and communicating further related data to the client device, via the communication network, upon the user selecting the hyperlink. | 1. A method of providing information related to a source document, the method comprising: receiving the source document from a client device via a communication network; accessing, using one or more hardware processors, the source document including numerical data and text, the source document displayed to a user in a graphical user interface (GUI) of the client device; generating, using the one or more hardware processors, discovered data that relates to the numerical data included in the source document, the generating the discovered data comprising generating the discovered data based on at least a machine learning model trained on a corpus that includes articles in a domain related to the source document; accessing, using the one or more hardware processors, a first database trained with a machine learning algorithm to identify time series related data associated with the text; accessing a second database including verified numerical data; comparing the discovered data with the verified numerical data; based on the comparison, verifying an accuracy of the discovered data to generate a verification indicator; communicating the discovered data with a discovered data identifier, the time series related data, a hyperlink to a webpage associated with at least the discovered data, and the verification indicator to the client device, via the communication network, for display in the GUI of the client device; and communicating further related data to the client device, via the communication network, upon the user selecting the hyperlink. 8. The method of claim 1 , wherein the time series related data is displayed in one or more graphs in the GUI of the client device. | 0.880651 |
1. A method for providing a response to a user query, the method performed at least in part via a processor, the method comprising: receiving the user query; extracting key data from the user query; submitting the key data to a database search engine to execute a search to retrieve a top n pages from the database, wherein “n” is an integer; preprocessing pages in the top n pages if a restriction exists to access the top n pages, by negotiating the restriction by automatically providing user login and password information, overcome the restriction; prior to responding to the user query, processing the top n pages through a natural language dialog engine to generate text for the response; providing the response comprising an audible response and a text-based response based on the text from processing the top n pages, wherein the response includes a link to more information related to the response; after providing the response and without further user input, automatically expanding the search based on the user query by continuing to find related information using a machine learning process; and forwarding, for display to the user, an option to view the related information separate from the provided response. | 1. A method for providing a response to a user query, the method performed at least in part via a processor, the method comprising: receiving the user query; extracting key data from the user query; submitting the key data to a database search engine to execute a search to retrieve a top n pages from the database, wherein “n” is an integer; preprocessing pages in the top n pages if a restriction exists to access the top n pages, by negotiating the restriction by automatically providing user login and password information, overcome the restriction; prior to responding to the user query, processing the top n pages through a natural language dialog engine to generate text for the response; providing the response comprising an audible response and a text-based response based on the text from processing the top n pages, wherein the response includes a link to more information related to the response; after providing the response and without further user input, automatically expanding the search based on the user query by continuing to find related information using a machine learning process; and forwarding, for display to the user, an option to view the related information separate from the provided response. 5. The method of claim 1 , wherein the user can select one of: a text input mode, a speech input mode or a dialog mode. | 0.677419 |
19. A method comprising: obtaining a set of one or more taxonomies wherein each of the taxonomies includes one root node and one or more hierarchically ordered paths, wherein each hierarchically ordered path includes the root node and a hierarchically ordered sequence of concept nodes; receiving a first set of first set concepts and a second set of second set concepts; determining a plurality of concept pairs, wherein each concept pair includes one of the first set concepts and one of the second set concepts; determining, for each one of the concept pairs, an associated length of a nondiverging intersection of a first sub-path of one of the hierarchically ordered paths from the root node of one of the taxonomies to a first concept node representing the first set concept and a second sub-path of one of the hierarchically ordered paths from the root node of the one of the taxonomies to a second concept node representing the second set concept, and an associated length of a first portion of the first sub-path from a last concept node included in the nondiverging intersection to the first concept node, and an associated length of a second portion of the second sub-path from the last concept node included in the nondiverging intersection to the second concept node; determining pairwise similarity values associated with each of the concept pairs based on ratios based on associated lengths of nondiverging intersections determined by the determining the associated length of the nondiverging intersection and the associated lengths of the first and second portions, wherein a pairwise similarity value indicating a high similarity is determined for association with concept pairs associated with nonempty nondiverging intersections including the root node and hierarchically immediate successor nodes of the root node that are included in the first sub-path and the second sub-path; and determining a concept set similarity value based on a weighted sum of the pairwise similarity values associated with optimal selected ones of the concept pairs. | 19. A method comprising: obtaining a set of one or more taxonomies wherein each of the taxonomies includes one root node and one or more hierarchically ordered paths, wherein each hierarchically ordered path includes the root node and a hierarchically ordered sequence of concept nodes; receiving a first set of first set concepts and a second set of second set concepts; determining a plurality of concept pairs, wherein each concept pair includes one of the first set concepts and one of the second set concepts; determining, for each one of the concept pairs, an associated length of a nondiverging intersection of a first sub-path of one of the hierarchically ordered paths from the root node of one of the taxonomies to a first concept node representing the first set concept and a second sub-path of one of the hierarchically ordered paths from the root node of the one of the taxonomies to a second concept node representing the second set concept, and an associated length of a first portion of the first sub-path from a last concept node included in the nondiverging intersection to the first concept node, and an associated length of a second portion of the second sub-path from the last concept node included in the nondiverging intersection to the second concept node; determining pairwise similarity values associated with each of the concept pairs based on ratios based on associated lengths of nondiverging intersections determined by the determining the associated length of the nondiverging intersection and the associated lengths of the first and second portions, wherein a pairwise similarity value indicating a high similarity is determined for association with concept pairs associated with nonempty nondiverging intersections including the root node and hierarchically immediate successor nodes of the root node that are included in the first sub-path and the second sub-path; and determining a concept set similarity value based on a weighted sum of the pairwise similarity values associated with optimal selected ones of the concept pairs. 22. The method of claim 19 wherein determining the pairwise similarity values comprises: determining pairwise similarity values associated with each of the concept pairs based on ratios based on first functions of associated lengths of nondiverging intersections determined by the determining the associated length of the nondiverging intersection and second functions of the associated lengths of the first and second portions, wherein a pairwise similarity value indicating a high similarity is determined for association with concepts pairs associated with nonempty nondiverging intersections including the root node and hierarchically immediate successor nodes of the root node that are included in the first sub-path and the second sub-path, wherein values of the first and second functions that are associated with empty sub-paths indicate substantially no weight. | 0.572295 |
8. The computer-implemented method of claim 4 , wherein generating each equation corresponding to the explainability score of the directly connected node v is based on taking a softmax operation on the multiple functions corresponding to the multinomial distributions associated with the directly connected node v, the multiple functions being arguments to the softmax operation. | 8. The computer-implemented method of claim 4 , wherein generating each equation corresponding to the explainability score of the directly connected node v is based on taking a softmax operation on the multiple functions corresponding to the multinomial distributions associated with the directly connected node v, the multiple functions being arguments to the softmax operation. 9. The computer-implemented method of claim 8 , wherein the softmax operation is monotonically non-decreasing for each argument. | 0.904749 |
1. A method for learning user preferences in a search of knowledge base to construct one or more profiles for producing personalized search results, the method comprising: using a computer system to execute method steps comprising: receiving feedback from the user regarding quality of search results presented to the user in a search of a knowledge base that is a semantic network of relationships among concepts and that provides an index of a plurality of documents, the feedback representing how well the search results match an input query provided by the user, the search results including one or more of the documents indexed by the knowledge base; constructing the one or more profiles for the user based on the feedback received, where for each of the search results that receive feedback, a plurality of feedback values are determined and are used to construct a model that includes profile weights computed from the feedback values; modifying internal weights used for scoring search criteria applied in producing the search results presented to the user, the modifications made by combining the internal weights with the profile weights in the constructed model, wherein the internal weights are modified according to a function of the internal weights used for scoring search criteria and of the profile weights; generating implicit search criteria for the user based on the one or more profiles; and applying the implicit search criteria and modified weights during a subsequent search of the knowledge base conducted by the user producing a subsequent set of search results that are personalized to the user. | 1. A method for learning user preferences in a search of knowledge base to construct one or more profiles for producing personalized search results, the method comprising: using a computer system to execute method steps comprising: receiving feedback from the user regarding quality of search results presented to the user in a search of a knowledge base that is a semantic network of relationships among concepts and that provides an index of a plurality of documents, the feedback representing how well the search results match an input query provided by the user, the search results including one or more of the documents indexed by the knowledge base; constructing the one or more profiles for the user based on the feedback received, where for each of the search results that receive feedback, a plurality of feedback values are determined and are used to construct a model that includes profile weights computed from the feedback values; modifying internal weights used for scoring search criteria applied in producing the search results presented to the user, the modifications made by combining the internal weights with the profile weights in the constructed model, wherein the internal weights are modified according to a function of the internal weights used for scoring search criteria and of the profile weights; generating implicit search criteria for the user based on the one or more profiles; and applying the implicit search criteria and modified weights during a subsequent search of the knowledge base conducted by the user producing a subsequent set of search results that are personalized to the user. 3. The method of claim 1 , wherein the user provides ratings for the search results presented using a system selected from the group consisting of: a point system; a five star rating system, a slider icon, and any combination of these. | 0.588384 |
16. A method comprising: providing a viewport displaying a region; providing one or more pushpin features as additions to the region shown on the viewport; receiving a first query from the user while the region is displayed in the viewport including receiving one or more query terms; determining one or more first content items associated with the region and the first query and ranking the first content items based at least in part on the received query terms and the one or more pushpin features; providing first query results to the user based at least in part on the ranking of the one or more first content items to be displayed on the viewport, wherein each of the first query results are ranked above a predetermined threshold ranking, and wherein the predetermined threshold ranking is based on the viewport; storing, in a query log, an entry that includes the query terms, and information describing the region displayed in the viewport and the one or more pushpin features; subsequently, receiving a second query from or about the region; identifying one or more second content items associated with the region using the entry including ranking the one or more second content items, wherein each of the one or more second content items is ranked based on a number of queries in the query log for which each content item is responsive; and responsive to the subsequently received second query, providing second query results based on the ranking of the one or more second content items to be displayed on the viewport of the client device, wherein each of the second query results are ranked above a predetermined threshold ranking, and wherein the predetermined threshold ranking is based on the viewport. | 16. A method comprising: providing a viewport displaying a region; providing one or more pushpin features as additions to the region shown on the viewport; receiving a first query from the user while the region is displayed in the viewport including receiving one or more query terms; determining one or more first content items associated with the region and the first query and ranking the first content items based at least in part on the received query terms and the one or more pushpin features; providing first query results to the user based at least in part on the ranking of the one or more first content items to be displayed on the viewport, wherein each of the first query results are ranked above a predetermined threshold ranking, and wherein the predetermined threshold ranking is based on the viewport; storing, in a query log, an entry that includes the query terms, and information describing the region displayed in the viewport and the one or more pushpin features; subsequently, receiving a second query from or about the region; identifying one or more second content items associated with the region using the entry including ranking the one or more second content items, wherein each of the one or more second content items is ranked based on a number of queries in the query log for which each content item is responsive; and responsive to the subsequently received second query, providing second query results based on the ranking of the one or more second content items to be displayed on the viewport of the client device, wherein each of the second query results are ranked above a predetermined threshold ranking, and wherein the predetermined threshold ranking is based on the viewport. 17. The method of claim 16 where the one or more first content items and the one or more second content items include one or more advertisements. | 0.686794 |
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