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10. The method of claim 1 , wherein the deconditioning further comprises: removing line continuations in the original source code; and annotating the original source code with splits meta-data indicating line splits corresponding to the removed line continuation.
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10. The method of claim 1 , wherein the deconditioning further comprises: removing line continuations in the original source code; and annotating the original source code with splits meta-data indicating line splits corresponding to the removed line continuation. 11. The method of claim 10 , wherein the reconditioning further comprises: reconstructing the line continuations in the modified source code according to the splits meta-data line break tags.
| 0.888655 |
1. A method comprising: for a first string in a plurality of strings in a first database table, the plurality of strings including at least one string in a first language and at least one string in a second language different from the first language: calculating a first sort key for the first string in the first language; storing a first reference record in a second database table, the first reference record linking the first sort key to a data record in the first database table that includes the first string; calculating a second sort key for the first string in the second language; and storing a second reference record in the second database table, the second reference record linking the second sort key to the data record in the first database table that includes the first string; receiving a request for a sorted result of a plurality of items in the first database table for the first language; generating a result set, the result set including a first entry for the first string, wherein the position of the first entry in the result set is determined based upon the first sort key; filtering the result set to remove entries for strings in the second language; and providing the result set to a user.
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1. A method comprising: for a first string in a plurality of strings in a first database table, the plurality of strings including at least one string in a first language and at least one string in a second language different from the first language: calculating a first sort key for the first string in the first language; storing a first reference record in a second database table, the first reference record linking the first sort key to a data record in the first database table that includes the first string; calculating a second sort key for the first string in the second language; and storing a second reference record in the second database table, the second reference record linking the second sort key to the data record in the first database table that includes the first string; receiving a request for a sorted result of a plurality of items in the first database table for the first language; generating a result set, the result set including a first entry for the first string, wherein the position of the first entry in the result set is determined based upon the first sort key; filtering the result set to remove entries for strings in the second language; and providing the result set to a user. 6. A method according to claim 1 , further comprising the step of, prior to providing the result set to the user, sorting the result set according to the sort keys associated with the strings in the result set.
| 0.641896 |
1. A method, comprising: selecting, by a computing device, an object rendered on a display, wherein the object is associated with an application that includes a first call to a program, wherein the first call is configured to cause the program to render the object on the display; receiving, by the computing device, a plurality of annotations associated with the selected object; determining, by the computing device, the verbosity level of each annotation of the plurality of annotations, wherein each of the plurality of annotations includes a different verbosity level, and wherein for any two of the annotations associated with the selected object and having different verbosity levels, a first annotation associated with a first verbosity level represents information in a textually-shortened form from information represented in a second of the two annotations with a second verbosity level higher than the first verbosity level, and wherein the first annotation associated with the lower verbosity level comprises an icon; and during execution of the application, and prior to execution of the first call, replacing, by the computing device, the first call with a second call to be executed in place of the first call, wherein the second call is different from the first call and is itself configured to both render the plurality of annotations on the display and to cause the program to render the object without requiring execution of the first call, wherein the second call is configured to render the annotations individually based on a requested verbosity level.
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1. A method, comprising: selecting, by a computing device, an object rendered on a display, wherein the object is associated with an application that includes a first call to a program, wherein the first call is configured to cause the program to render the object on the display; receiving, by the computing device, a plurality of annotations associated with the selected object; determining, by the computing device, the verbosity level of each annotation of the plurality of annotations, wherein each of the plurality of annotations includes a different verbosity level, and wherein for any two of the annotations associated with the selected object and having different verbosity levels, a first annotation associated with a first verbosity level represents information in a textually-shortened form from information represented in a second of the two annotations with a second verbosity level higher than the first verbosity level, and wherein the first annotation associated with the lower verbosity level comprises an icon; and during execution of the application, and prior to execution of the first call, replacing, by the computing device, the first call with a second call to be executed in place of the first call, wherein the second call is different from the first call and is itself configured to both render the plurality of annotations on the display and to cause the program to render the object without requiring execution of the first call, wherein the second call is configured to render the annotations individually based on a requested verbosity level. 12. The method of claim 1 , wherein selecting comprises selecting, by the computing device, graphical-based content rendered on the display.
| 0.599127 |
1. A method performed by at least one computing device, the method comprising: receiving a first user input identifying multiple user-entered characters; populating a character entry field with the multiple user-entered characters; based on the multiple user-entered characters, outputting a phrase having multiple terms; receiving a second user input identifying a selected term of the phrase, the selected term having the multiple user-entered characters; and pinning the selected term of the phrase having the multiple user-entered characters into the character entry field.
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1. A method performed by at least one computing device, the method comprising: receiving a first user input identifying multiple user-entered characters; populating a character entry field with the multiple user-entered characters; based on the multiple user-entered characters, outputting a phrase having multiple terms; receiving a second user input identifying a selected term of the phrase, the selected term having the multiple user-entered characters; and pinning the selected term of the phrase having the multiple user-entered characters into the character entry field. 2. The method of claim 1 , wherein at least one other term of the phrase is not pinned into the character entry field.
| 0.688963 |
9. A method for retrieving information from databases, said databases being structured or unstructured, said databases being homogeneous or heterogeneous, wherein retrieval is performed through visual queries on dynamic taxonomies, said dynamic taxonomies being an organization of concepts that ranges from a most general concept to a most specific concept, said concepts and their organization being called an intension, items in said databases being classified under one or more concepts, said items and their classification being called an extension, said method comprising, given an initial current subset of interest: using a computer for providing a reduced taxonomy for the current subset of interest; using the computer for refining the current subset of interest of said reduced taxonomy with the combination of one or more taxonomy concepts through Boolean operations; and using the computer for iteratively repeating said steps of providing a reduced taxonomy for the current subset of interest to further refine said retrieval and of refining the current subset of interest, wherein: said initial subset of interest includes all the items in the extension of the dynamic taxonomy or a subset of them; said reduced taxonomy being derived from said taxonomy by using the computer for pruning concepts under which no item in said current subset of interest is classified; said step of pruning concepts includes eliminating from the taxonomy all the concepts under which no item in the current subset of interest is classified, or preventing said concepts from being displayed, or preventing said concepts from being selected in order to refine interest sets; said step of providing a reduced taxonomy either reports only the concepts belonging to the reduced taxonomy or, for each such concept also reports how many items in the current interest set are classified under the concept; said intension is organized as a hierarchy of concepts or as a directed acyclic graph of concepts, thereby allowing a concept to have multiple fathers; in said extension, there exists at least one item such that said item is classified under at least two different concepts such that each of said two concepts is neither an ancestor nor a descendant of the other concept in the intension.
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9. A method for retrieving information from databases, said databases being structured or unstructured, said databases being homogeneous or heterogeneous, wherein retrieval is performed through visual queries on dynamic taxonomies, said dynamic taxonomies being an organization of concepts that ranges from a most general concept to a most specific concept, said concepts and their organization being called an intension, items in said databases being classified under one or more concepts, said items and their classification being called an extension, said method comprising, given an initial current subset of interest: using a computer for providing a reduced taxonomy for the current subset of interest; using the computer for refining the current subset of interest of said reduced taxonomy with the combination of one or more taxonomy concepts through Boolean operations; and using the computer for iteratively repeating said steps of providing a reduced taxonomy for the current subset of interest to further refine said retrieval and of refining the current subset of interest, wherein: said initial subset of interest includes all the items in the extension of the dynamic taxonomy or a subset of them; said reduced taxonomy being derived from said taxonomy by using the computer for pruning concepts under which no item in said current subset of interest is classified; said step of pruning concepts includes eliminating from the taxonomy all the concepts under which no item in the current subset of interest is classified, or preventing said concepts from being displayed, or preventing said concepts from being selected in order to refine interest sets; said step of providing a reduced taxonomy either reports only the concepts belonging to the reduced taxonomy or, for each such concept also reports how many items in the current interest set are classified under the concept; said intension is organized as a hierarchy of concepts or as a directed acyclic graph of concepts, thereby allowing a concept to have multiple fathers; in said extension, there exists at least one item such that said item is classified under at least two different concepts such that each of said two concepts is neither an ancestor nor a descendant of the other concept in the intension. 20. The method of claim 9 , said method allowing the restriction of access to a predefined subset of interest for a specific user or a set of users by using said predefined subset of interest instead of the universe for all the interactions of said specific user or a set of users.
| 0.745181 |
6. The method of claim 4 , wherein the ranking comprises: applying at least one subjective criterion.
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6. The method of claim 4 , wherein the ranking comprises: applying at least one subjective criterion. 7. The method of claim 6 , wherein the applying at least one subjective criterion comprises: determining a score for each document in the subset.
| 0.949968 |
8. An apparatus comprising: a processor; and a memory to store computer program instructions, the computer program instructions when executed on the processor cause the processor to perform operations comprising: receiving a message from a first user to a second user via one of a plurality of accounts associated with the second user, the message in a first language; accessing a storage device of a client processing device associated with the second user to determine a preferred language of the second user for the one of the plurality of accounts associated with the second user, wherein each of the plurality of accounts associated with the second user identifies a different preferred language; and translating the message to the preferred language of the second user for the one of the plurality of accounts associated with the second user when the first language is not the same as the preferred language of the second user for the one of the plurality of accounts associated with the second user.
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8. An apparatus comprising: a processor; and a memory to store computer program instructions, the computer program instructions when executed on the processor cause the processor to perform operations comprising: receiving a message from a first user to a second user via one of a plurality of accounts associated with the second user, the message in a first language; accessing a storage device of a client processing device associated with the second user to determine a preferred language of the second user for the one of the plurality of accounts associated with the second user, wherein each of the plurality of accounts associated with the second user identifies a different preferred language; and translating the message to the preferred language of the second user for the one of the plurality of accounts associated with the second user when the first language is not the same as the preferred language of the second user for the one of the plurality of accounts associated with the second user. 14. The apparatus of claim 8 , the operations further comprising: broadcasting the message in the preferred language of the second user for the one of the plurality of accounts associated with the second user to a plurality of users in a chat session.
| 0.61095 |
1. A computer-implemented method for detecting and recognizing text in an image, the method comprising: under the control of one or more computer systems configured with executable instructions, processing an input image to form an output image by filtering and segmenting the input image and intersecting the filtered and segmented input image with a mask created from a plurality of bounding boxes, each bounding box enclosing a connected component, each connected component including a plurality of pixels comprising the image and connected on the basis of a predetermined pixel intensity and predefined distance between the pixels, the output image comprising text regions detected by said filtering, segmenting, and intersecting; separately processing the input image to create at least one binary chip, each binary chip comprising one detected text region; recognizing the text in each binary chip from the detected text region comprising the binary chip using an optical character recognizer; separately and independently recognizing the text from the text regions comprising the output image resulting from processing the input image using the optical character recognizer; and logically combining the separately recognized text by taking the logical OR of the recognized text to form a single output producing detected text.
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1. A computer-implemented method for detecting and recognizing text in an image, the method comprising: under the control of one or more computer systems configured with executable instructions, processing an input image to form an output image by filtering and segmenting the input image and intersecting the filtered and segmented input image with a mask created from a plurality of bounding boxes, each bounding box enclosing a connected component, each connected component including a plurality of pixels comprising the image and connected on the basis of a predetermined pixel intensity and predefined distance between the pixels, the output image comprising text regions detected by said filtering, segmenting, and intersecting; separately processing the input image to create at least one binary chip, each binary chip comprising one detected text region; recognizing the text in each binary chip from the detected text region comprising the binary chip using an optical character recognizer; separately and independently recognizing the text from the text regions comprising the output image resulting from processing the input image using the optical character recognizer; and logically combining the separately recognized text by taking the logical OR of the recognized text to form a single output producing detected text. 2. The computer-implemented method of claim 1 , wherein processing an image to form the output image and the processing of the image to create the at least one binary chip comprises: converting the image to a gray-level version of the image to form a gray-level image; filtering and thresholding the gray-level image to emphasize bar-like and line-like regions which potentially correspond to text to form a first image; removing long straight lines and rectangles from the first image to form a second image; identifying potential text regions in the second image based on predefined character constraints to form a third image; removing the potential text regions from the third image which are not consistent with words to create a fourth image; creating the output image and at least one gray-level image chip from the fourth image; and processing each of the at least one gray-level image chips to form the at least one binary chip.
| 0.522122 |
3. The method of claim 1 , wherein said first single-use domain token comprises session information for performing session management with respect to said client.
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3. The method of claim 1 , wherein said first single-use domain token comprises session information for performing session management with respect to said client. 4. The method of claim 3 , wherein said session information comprises a session key.
| 0.972861 |
1. A compressed voice communication system, comprising: at least two customer premise devices connected by a transmission media for allowing signals to be transmitted between said customer premise devices; each of said at least two customer premise devices comprising: means for receiving speech from an individual; a speech profile defining coefficients of speech for the individual in a mathematical model; means for detecting changes in the individual's speech, said changes being defined by at least one of said coefficients of speech; means for converting said speech to text which operates in response to means for detecting to add hypertext characters to said text indicative of said detected changes; means for transmitting said text from one customer premise device over said transmission media for receipt at another one of the at least two customer premise devices; means for converting said text received from said transmission media to speech; and means for delivering speech to the individual.
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1. A compressed voice communication system, comprising: at least two customer premise devices connected by a transmission media for allowing signals to be transmitted between said customer premise devices; each of said at least two customer premise devices comprising: means for receiving speech from an individual; a speech profile defining coefficients of speech for the individual in a mathematical model; means for detecting changes in the individual's speech, said changes being defined by at least one of said coefficients of speech; means for converting said speech to text which operates in response to means for detecting to add hypertext characters to said text indicative of said detected changes; means for transmitting said text from one customer premise device over said transmission media for receipt at another one of the at least two customer premise devices; means for converting said text received from said transmission media to speech; and means for delivering speech to the individual. 8. The system according to claim 1, wherein said means for converting said speech to text uses said speech profile to create said text.
| 0.679605 |
65. An associative memory system, comprising: a network of at least two networks of associative memory networks, the at least two networks of associative memory networks comprising: a first network of first associative memory networks, wherein the first associative memory networks comprise associative memory networks of first associations; a second network of second associative memory networks, wherein the second associative memory networks comprise associative memory networks of second associations different from the first associations; and a result display that is configured to display information corresponding to the first and/or second associations.
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65. An associative memory system, comprising: a network of at least two networks of associative memory networks, the at least two networks of associative memory networks comprising: a first network of first associative memory networks, wherein the first associative memory networks comprise associative memory networks of first associations; a second network of second associative memory networks, wherein the second associative memory networks comprise associative memory networks of second associations different from the first associations; and a result display that is configured to display information corresponding to the first and/or second associations. 67. An associative memory system according to claim 65 wherein the first associations comprise a first context and wherein the second associations comprise a second context.
| 0.900849 |
11. A system for providing an electronic target document in a data communication network, the system comprising a first domain on a first server system, a second domain on a second server system and a third domain on a third server system in the data communication network, each domain comprising at least one computer program containing computer instructions to cause a processor to perform specific actions, wherein: the at least one computer program of the first domain is configured to provide a link to open a digital first form in the first domain, and to receive an activation of the link by a user from a user computer device; the at least one computer program of the second domain is configured to: provide a digital second form upon activation of the link by the user from the user computer device, the second form comprising a retrieval field whereby, when the retrieval field is activated by the user from the user computer device, the following steps are performed: providing a plurality of domain access fields at the user computer device; receiving an activation of a selected one of the domain access fields by the user from the user computer device; accessing a third domain linked to the selected domain access field; and retrieving target document data from the third domain, and upload the target document associated with the target document data to the first form of the first domain.
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11. A system for providing an electronic target document in a data communication network, the system comprising a first domain on a first server system, a second domain on a second server system and a third domain on a third server system in the data communication network, each domain comprising at least one computer program containing computer instructions to cause a processor to perform specific actions, wherein: the at least one computer program of the first domain is configured to provide a link to open a digital first form in the first domain, and to receive an activation of the link by a user from a user computer device; the at least one computer program of the second domain is configured to: provide a digital second form upon activation of the link by the user from the user computer device, the second form comprising a retrieval field whereby, when the retrieval field is activated by the user from the user computer device, the following steps are performed: providing a plurality of domain access fields at the user computer device; receiving an activation of a selected one of the domain access fields by the user from the user computer device; accessing a third domain linked to the selected domain access field; and retrieving target document data from the third domain, and upload the target document associated with the target document data to the first form of the first domain. 15. The system of claim 11 , wherein the at least one computer program of the second domain further is configured to access a third domain linked to the selected domain access field by: storing user access credentials associated with the third domain in the second domain; and providing the user credentials to the third domain to gain access to the third domain.
| 0.524093 |
17. The storage medium of claim 16 , wherein storing the populated tetrahedral data model further comprises: assigning the identifier to the tetrahedral data model; and storing the tetrahedral data model along with the identifier in an Unstructured data Base Management System (UDBMS).
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17. The storage medium of claim 16 , wherein storing the populated tetrahedral data model further comprises: assigning the identifier to the tetrahedral data model; and storing the tetrahedral data model along with the identifier in an Unstructured data Base Management System (UDBMS). 18. The storage medium of claim 17 , wherein the storing step further comprises: storing the raw data set and the low level feature set in an expandable three-dimensional (3D) big table in the UDBMS.
| 0.94911 |
1. A processing device of which processing objects are categories contained in a hierarchical structure comprising categories into which products or services are classified and a keyword, comprising: at least one memory operable to store program code; at least one processor operable to read the program code and operate as instructed by the program code, the program code including; acquisition code configured to acquire, for each category contained in the hierarchical structure, a frequency of a name of the category and the keyword co-occurring in a search query given to a search device; identification code configured to identify, when at least a part of a distribution of the acquired frequencies in the hierarchical structure is in conformity with at least one predetermined distribution pattern that is based on a sequence of frequencies within the hierarchical structure, a position in the hierarchical structure of a category of which the name is given by the keyword based on a conformed part of the distribution of the acquired frequencies in the hierarchical structure and the position, in the sequence of frequencies occurring in the distribution pattern, pre-associated with the distribution pattern; the identification code further configured to set a category contained in the hierarchical structure as a category of interest, and identify the each of the categories included in the path from the topmost category of the hierarchical structure to the category of interest and the each of the sate immediately below the categories of interest, and if the distribution of the acquired frequencies along the indentified categories is in conformity with the distribution pattern, identify the position on the path that is pre-associated with the distribution pattern as the position of a category of which the name is given by the keyword; the identification code further configured to identify an immediately upper category by determining frequency of a first keyword and a second keyword co-occurring in a search query in which they are concatenated by at least one boolean operator; creation code configured to create a new category of which the name is given by the keyword at the identified position; and classification code to reclassify existing products and services into immediately below categories of the immediately upper category of the new category in the hierarchal structure.
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1. A processing device of which processing objects are categories contained in a hierarchical structure comprising categories into which products or services are classified and a keyword, comprising: at least one memory operable to store program code; at least one processor operable to read the program code and operate as instructed by the program code, the program code including; acquisition code configured to acquire, for each category contained in the hierarchical structure, a frequency of a name of the category and the keyword co-occurring in a search query given to a search device; identification code configured to identify, when at least a part of a distribution of the acquired frequencies in the hierarchical structure is in conformity with at least one predetermined distribution pattern that is based on a sequence of frequencies within the hierarchical structure, a position in the hierarchical structure of a category of which the name is given by the keyword based on a conformed part of the distribution of the acquired frequencies in the hierarchical structure and the position, in the sequence of frequencies occurring in the distribution pattern, pre-associated with the distribution pattern; the identification code further configured to set a category contained in the hierarchical structure as a category of interest, and identify the each of the categories included in the path from the topmost category of the hierarchical structure to the category of interest and the each of the sate immediately below the categories of interest, and if the distribution of the acquired frequencies along the indentified categories is in conformity with the distribution pattern, identify the position on the path that is pre-associated with the distribution pattern as the position of a category of which the name is given by the keyword; the identification code further configured to identify an immediately upper category by determining frequency of a first keyword and a second keyword co-occurring in a search query in which they are concatenated by at least one boolean operator; creation code configured to create a new category of which the name is given by the keyword at the identified position; and classification code to reclassify existing products and services into immediately below categories of the immediately upper category of the new category in the hierarchal structure. 2. The processing device according to claim 1 , wherein the at least one distribution pattern has some frequencies that are different with reference to a given comparison criterion relative to other frequencies, and is pre-associated with positions of the different frequencies.
| 0.638824 |
1. A computer-implemented system to facilitate industrial automation monitoring or control, comprising: at least one processor coupled to a memory, the processor executes: a receiver component that receives a request for a web page associated with a network adaptor; an execution component that executes instantiated objects within the web page to effectuate at least one of monitoring and control of an I/O module that is communicatively coupled to the network adaptor; an editor component that enables creation of new objects or editing of instantiated objects; a selection component that facilitates selection of a project associated with the instantiated objects; a saving component that facilitates saving the instantiated objects with respect to a selected project on at least one of a local drive and a network server drive; and a transaction component that enables the selection and purchase of additional objects to be utilized by the editor component while creating or editing web pages.
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1. A computer-implemented system to facilitate industrial automation monitoring or control, comprising: at least one processor coupled to a memory, the processor executes: a receiver component that receives a request for a web page associated with a network adaptor; an execution component that executes instantiated objects within the web page to effectuate at least one of monitoring and control of an I/O module that is communicatively coupled to the network adaptor; an editor component that enables creation of new objects or editing of instantiated objects; a selection component that facilitates selection of a project associated with the instantiated objects; a saving component that facilitates saving the instantiated objects with respect to a selected project on at least one of a local drive and a network server drive; and a transaction component that enables the selection and purchase of additional objects to be utilized by the editor component while creating or editing web pages. 2. The system of claim 1 , the web page is an HTML web page.
| 0.578923 |
8. The method according to claim 1 wherein for each of said succession of iterations, for each i th item of training data in said training data set, determining whether said second criterion is met by a process comprising: comparing a magnitude of a function that depends on a relative magnitude of said first probability score and said second probability score to a predetermined value.
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8. The method according to claim 1 wherein for each of said succession of iterations, for each i th item of training data in said training data set, determining whether said second criterion is met by a process comprising: comparing a magnitude of a function that depends on a relative magnitude of said first probability score and said second probability score to a predetermined value. 9. The method according to claim 8 wherein said function that depends on said relative magnitude of said first probability score and said second probability score is a difference between said first probability score and said second probability score.
| 0.921787 |
22. A system for debugging Extensible Stylesheet Language (XSL) programs, comprising: a processor configured to: automatically locate program elements including variables and selected program paths within a first code of a first XSL program; for each located program element, automatically modify the first code by an insertion into the first code of a second code for setting an XSL variable not included in the first code, the setting of the XSL variable including implementation of a routine, the routine generating a debugging comment when executed and coded in a programming language that provides an element for the maintenance of state information regarding a portion of the first code that corresponds to manipulation of the respective program element, wherein the debugging comment is based on the state information for the respective program element; and execute the modified first code; and an output device; wherein: the debugging comment is integrated with a main output of the first XSL program; for each located program element, the corresponding state information includes at least one of (a) a column and line location of the respective portion of the first code and (b) a hierarchical level of the respective program element; the processor is configured to copy code of a second XSL program to generate the first program, and adjacently display, via the output device, the code of second program and the integrated debugging comment and main output of the executed first program; the displayed code and main output are formatted such that at least a portion of the debugging comment is automatically displayed directly adjacent to at least a part of a respective portion of the displayed code to which the debugging comment corresponds; the processor is configured to, for each located variable for which the first XSL program is modified, insert into the first XSL program a copy of the variable to mimic the located variable; and the modified first XSL program including the first code is executed such that: (a) a portion of the first code that includes the program variable is executed, and (b) for the execution of the portion of the first code, a debugging comment is generated for the variable copy.
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22. A system for debugging Extensible Stylesheet Language (XSL) programs, comprising: a processor configured to: automatically locate program elements including variables and selected program paths within a first code of a first XSL program; for each located program element, automatically modify the first code by an insertion into the first code of a second code for setting an XSL variable not included in the first code, the setting of the XSL variable including implementation of a routine, the routine generating a debugging comment when executed and coded in a programming language that provides an element for the maintenance of state information regarding a portion of the first code that corresponds to manipulation of the respective program element, wherein the debugging comment is based on the state information for the respective program element; and execute the modified first code; and an output device; wherein: the debugging comment is integrated with a main output of the first XSL program; for each located program element, the corresponding state information includes at least one of (a) a column and line location of the respective portion of the first code and (b) a hierarchical level of the respective program element; the processor is configured to copy code of a second XSL program to generate the first program, and adjacently display, via the output device, the code of second program and the integrated debugging comment and main output of the executed first program; the displayed code and main output are formatted such that at least a portion of the debugging comment is automatically displayed directly adjacent to at least a part of a respective portion of the displayed code to which the debugging comment corresponds; the processor is configured to, for each located variable for which the first XSL program is modified, insert into the first XSL program a copy of the variable to mimic the located variable; and the modified first XSL program including the first code is executed such that: (a) a portion of the first code that includes the program variable is executed, and (b) for the execution of the portion of the first code, a debugging comment is generated for the variable copy. 27. The system of claim 22 , wherein: the program elements include a program path and a program variable; the program path is located by an identification of a path tag; and the program variable is located by an identification of a variable tag.
| 0.648685 |
30. A system comprising: a device comprising a display screen; and one or more computers programmed to interact with the device and to perform operations comprising: transmitting, from the one or more computers to the device, description data describing a preexisting structured presentation to be presented visually at the display screen of the device, the visual presentation of the preexisting structured presentation visually presenting information in a systematic arrangement that conforms with a structured design, the preexisting structured presentation denoting characterization of attributes of a particular instance by values that characterize the attributes of the particular instance by virtue of an arrangement of an identifier of the particular instance and the values in the visual presentation of the preexisting structured presentation; receiving, at the system, data describing user interaction with the preexisting structured presentation presented visually at the display screen of the device, the user interaction identifying a fraction of the visual presentation of the preexisting structured presentation for population with attribute values; and in response to the receipt of the data describing the user interaction, comparing characteristics of the identified fraction of the preexisting structured presentation with content of electronic documents in an unstructured collection of electronic documents to locate electronic documents that identify a new value that characterizes an instance characterized in the identified fraction of the preexisting structured presentation, adding the new value to the preexisting structured presentation to form a new structured presentation having at least the fraction of the visual presentation identified by the user interaction populated with new attribute values, and outputting instructions for visually presenting the new structured presentation to the device.
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30. A system comprising: a device comprising a display screen; and one or more computers programmed to interact with the device and to perform operations comprising: transmitting, from the one or more computers to the device, description data describing a preexisting structured presentation to be presented visually at the display screen of the device, the visual presentation of the preexisting structured presentation visually presenting information in a systematic arrangement that conforms with a structured design, the preexisting structured presentation denoting characterization of attributes of a particular instance by values that characterize the attributes of the particular instance by virtue of an arrangement of an identifier of the particular instance and the values in the visual presentation of the preexisting structured presentation; receiving, at the system, data describing user interaction with the preexisting structured presentation presented visually at the display screen of the device, the user interaction identifying a fraction of the visual presentation of the preexisting structured presentation for population with attribute values; and in response to the receipt of the data describing the user interaction, comparing characteristics of the identified fraction of the preexisting structured presentation with content of electronic documents in an unstructured collection of electronic documents to locate electronic documents that identify a new value that characterizes an instance characterized in the identified fraction of the preexisting structured presentation, adding the new value to the preexisting structured presentation to form a new structured presentation having at least the fraction of the visual presentation identified by the user interaction populated with new attribute values, and outputting instructions for visually presenting the new structured presentation to the device. 41. The system of claim 30 , wherein the preexisting structured presentation comprises a collection of cards.
| 0.614504 |
1. A method of generating search results in response to a search query, the method comprising the steps of: based on the search query, identifying a plurality of matching resources, wherein the plurality of matching resources includes a particular resource; reading metadata associated with said particular resource, wherein said metadata indicates a plurality of candidate items to include in an abstract for said particular resource; based on filtering criteria, selecting a subset of candidate items from said plurality of candidate items; generating abstracts of each of said plurality of matching resources, wherein the abstract of said particular resource is generated to include the subset of candidate items that were selected based on the filtering criteria; and providing said abstracts as search results of said search query; wherein the subset of candidate items that are included in the abstract generated for the particular resource includes at least one or more selected from the group consisting of: a promoted link which, when activated, causes retrieval of content pointed to by a link that is either contained within the particular resource or is contained within a resource to which the particular resource is directly or indirectly linked by one or more links in the particular resource; a value added service link which, when activated, causes information to be sent to a service that is controlled by a party other than the party that controls the particular resource; a value added information item obtained by a search engine submitting information to a service that is controlled by a party other than the party that controls the particular resource and other than the party that controls the search engine, where that service processes the information; wherein the information is either (a) extracted from the particular resource or (b) about the party that controls the particular resource; and a mid-document link which, when activated, causes retrieval of the particular resource and also jumps to the particular location within the particular resource where content of interest is located, wherein the particular location is such that jumping to the particular location within the particular resource results in hiding the top of the particular resource; wherein the steps are performed on one or more computing devices.
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1. A method of generating search results in response to a search query, the method comprising the steps of: based on the search query, identifying a plurality of matching resources, wherein the plurality of matching resources includes a particular resource; reading metadata associated with said particular resource, wherein said metadata indicates a plurality of candidate items to include in an abstract for said particular resource; based on filtering criteria, selecting a subset of candidate items from said plurality of candidate items; generating abstracts of each of said plurality of matching resources, wherein the abstract of said particular resource is generated to include the subset of candidate items that were selected based on the filtering criteria; and providing said abstracts as search results of said search query; wherein the subset of candidate items that are included in the abstract generated for the particular resource includes at least one or more selected from the group consisting of: a promoted link which, when activated, causes retrieval of content pointed to by a link that is either contained within the particular resource or is contained within a resource to which the particular resource is directly or indirectly linked by one or more links in the particular resource; a value added service link which, when activated, causes information to be sent to a service that is controlled by a party other than the party that controls the particular resource; a value added information item obtained by a search engine submitting information to a service that is controlled by a party other than the party that controls the particular resource and other than the party that controls the search engine, where that service processes the information; wherein the information is either (a) extracted from the particular resource or (b) about the party that controls the particular resource; and a mid-document link which, when activated, causes retrieval of the particular resource and also jumps to the particular location within the particular resource where content of interest is located, wherein the particular location is such that jumping to the particular location within the particular resource results in hiding the top of the particular resource; wherein the steps are performed on one or more computing devices. 29. The method of claim 1 , further comprising: receiving, from an owner of a particular resource, metadata that indicates a plurality of links to include within abstracts generated for the particular resource.
| 0.578709 |
15. A system comprising: an electronic device with a display, one or more input devices, and one or more audio output devices; a memory configured to store text; and one or more processors coupled to the memory, the one or more processors configured to: display, on the display, a portion of displayed text that includes a plurality of words; receive a request to convert the plurality of words in the portion of the displayed text to speech; determine whether a language ambiguity exists based on an analysis of the plurality of words of the portion of the displayed text, wherein the language ambiguity indicates that a plurality of candidate languages are applicable for converting the plurality of words in the portion of displayed text to speech; in accordance with the determination that the language ambiguity exists, cause to be concurrently displayed, on the display, the plurality of candidate languages for converting the plurality of words in the portion of the displayed text to speech, wherein the plurality of candidate languages was selected based on the analysis of the plurality of words in the portion of the displayed text; and while concurrently displaying the plurality of candidate languages, receiving, with one or more input devices, input indicative of selection of a first candidate language from the concurrently displayed plurality of candidate languages, in response to receiving the input indicative of selection of the first candidate language, output, with one or more audio output devices, audio corresponding to the plurality of words in the portion of the displayed text, wherein the audio comprises a conversion of the plurality of words in the portion of the displayed text to speech in the first candidate language.
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15. A system comprising: an electronic device with a display, one or more input devices, and one or more audio output devices; a memory configured to store text; and one or more processors coupled to the memory, the one or more processors configured to: display, on the display, a portion of displayed text that includes a plurality of words; receive a request to convert the plurality of words in the portion of the displayed text to speech; determine whether a language ambiguity exists based on an analysis of the plurality of words of the portion of the displayed text, wherein the language ambiguity indicates that a plurality of candidate languages are applicable for converting the plurality of words in the portion of displayed text to speech; in accordance with the determination that the language ambiguity exists, cause to be concurrently displayed, on the display, the plurality of candidate languages for converting the plurality of words in the portion of the displayed text to speech, wherein the plurality of candidate languages was selected based on the analysis of the plurality of words in the portion of the displayed text; and while concurrently displaying the plurality of candidate languages, receiving, with one or more input devices, input indicative of selection of a first candidate language from the concurrently displayed plurality of candidate languages, in response to receiving the input indicative of selection of the first candidate language, output, with one or more audio output devices, audio corresponding to the plurality of words in the portion of the displayed text, wherein the audio comprises a conversion of the plurality of words in the portion of the displayed text to speech in the first candidate language. 16. The system of claim 15 , wherein the one or more processors are configured to use a language synthesizer corresponding to the first candidate language to generate speech for the plurality of words in the portion of the displayed text.
| 0.733732 |
10. A computer system having a graphical user interface including a display and a user interface selection device, wherein the computer system includes a processor that executes computer-readable instructions, said execution causing the computer system to perform a method of interactively merging data from a line-of-business (LOB) application into a document template, the document template having one or more schema nodes, the method comprising: marking up the document template with a plurality of schema nodes, wherein each of the plurality of schema nodes is a placeholder for merging business data from the LOB application, and wherein marking up the document template includes: accessing meta-data from the LOB application, wherein the meta-data represents a hierarchical structure of business data stored in a database, wherein the LOB application manages the business data, and wherein business data includes a plurality of business objects, wherein a first one of the plurality of business objects is linked to a second one of the plurality of business objects by a relationship; attaching a schema to the document template, wherein the schema facilitates modeling business data based on the accessed meta-data; and attaching the plurality of schema nodes to the document template; determining a current schema node within the document template, wherein the schema node is mapped to the document template; determining a business object associated with the current schema node; formulating a data query based on the current schema node mapped to the document template; sending the data query to the LOB application; receiving business data from the LOB application; displaying a context-sensitive user interface on the display based on the business object associated with the current schema node, the context-sensitive user interface comprising the business data from the LOB application corresponding to the business object associated with the current schema node; receiving, via the user interface selection device, a user selection of one or more instances of the business data from the LOB application; creating a data-merged document by copying the one or more instances of the business data from the LOB application to the current schema node within the document template based on the user selection; and maintaining an active link between the data-merged document and the LOB application to allow for interactive merging, wherein the active link is maintained after copying the one or more instances of the business data from the LOB application to the current schema node.
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10. A computer system having a graphical user interface including a display and a user interface selection device, wherein the computer system includes a processor that executes computer-readable instructions, said execution causing the computer system to perform a method of interactively merging data from a line-of-business (LOB) application into a document template, the document template having one or more schema nodes, the method comprising: marking up the document template with a plurality of schema nodes, wherein each of the plurality of schema nodes is a placeholder for merging business data from the LOB application, and wherein marking up the document template includes: accessing meta-data from the LOB application, wherein the meta-data represents a hierarchical structure of business data stored in a database, wherein the LOB application manages the business data, and wherein business data includes a plurality of business objects, wherein a first one of the plurality of business objects is linked to a second one of the plurality of business objects by a relationship; attaching a schema to the document template, wherein the schema facilitates modeling business data based on the accessed meta-data; and attaching the plurality of schema nodes to the document template; determining a current schema node within the document template, wherein the schema node is mapped to the document template; determining a business object associated with the current schema node; formulating a data query based on the current schema node mapped to the document template; sending the data query to the LOB application; receiving business data from the LOB application; displaying a context-sensitive user interface on the display based on the business object associated with the current schema node, the context-sensitive user interface comprising the business data from the LOB application corresponding to the business object associated with the current schema node; receiving, via the user interface selection device, a user selection of one or more instances of the business data from the LOB application; creating a data-merged document by copying the one or more instances of the business data from the LOB application to the current schema node within the document template based on the user selection; and maintaining an active link between the data-merged document and the LOB application to allow for interactive merging, wherein the active link is maintained after copying the one or more instances of the business data from the LOB application to the current schema node. 11. The system of claim 10 , wherein displaying a context-sensitive user interface comprises: tracing an ancestor hierarchy of the business object to a top-level business object; determining if the ancestor hierarchy comprises a one-to-many relationship; and displaying the context-sensitive user interface based.
| 0.5 |
11. A system comprising: a processor and a non-transitory computer-readable medium storing executable computer instructions configured to, when executed by the processor, cause the system to perform steps comprising: accessing a string of characters; accessing a first token table and a second token table, each of the first token table and the second token table mapping each of a set of input values to a different token value, the first token table different than the second token table; replacing a first substring of the string of characters with a first token value mapped to a value of the first substring of characters by the first token table to form a first intermediate string of characters; replacing a second substring of the intermediate string of characters with a second token value mapped to a value of the second sub string of characters by the second token table to form a second intermediate string of characters; and combining the second intermediate string of characters with metadata describing the tokenization to form a tokenized string of characters.
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11. A system comprising: a processor and a non-transitory computer-readable medium storing executable computer instructions configured to, when executed by the processor, cause the system to perform steps comprising: accessing a string of characters; accessing a first token table and a second token table, each of the first token table and the second token table mapping each of a set of input values to a different token value, the first token table different than the second token table; replacing a first substring of the string of characters with a first token value mapped to a value of the first substring of characters by the first token table to form a first intermediate string of characters; replacing a second substring of the intermediate string of characters with a second token value mapped to a value of the second sub string of characters by the second token table to form a second intermediate string of characters; and combining the second intermediate string of characters with metadata describing the tokenization to form a tokenized string of characters. 15. The system of claim 11 , wherein the second substring comprises at least one character not replaced by the first token.
| 0.69813 |
1. A non-transitory machine-readable medium having stored thereon a set of instructions, which when executed by a server system causes the server system to perform a method, the method comprising: transmitting, by the server system to an end-user computing device via an Internet, a web page configured to indicate an option to receive, from a user, a request via the web page and a browser of the end-user computing device; processing, by the server system, a first indication of a selection of the option; selecting, by the server system, an advisor from a plurality of advisors for indication in an advertisement for the advisor, the selecting based at least in part on a compensation rate of the advisor and a quality score of the advisor; determining, by the server system, a status of the advisor; in response to the selection, transmitting to the end-user computing device the advertisement for the advisor, the advertisement to be visually displayed via the end-user computing device, wherein the advertisement includes: at least one reference selectable by the user to request a real-time communication connection with the advisor, wherein the real-time communication connection is separate from an Internet connection used by the end-user computing device to download the web page; and an indication of the status of the advisor; while the advisor is determined to be currently available for real-time communication, receiving, by the server system, from the end-user computing device a second indication of a user selection of the at least one reference made via the advertisement, the user selection of the at least one reference corresponding to the advisor; and in response to the second indication of the user selection of the at least one reference, establishing a telephonic connection via a central controller of the server system to provide the real-time communication connection requested between the advisor and the user, wherein the establishing the telephonic connection comprises the central controller directing a first transmission to the user, the central controller directing a second transmission to the advisor, and the central controller joining the first transmission and the second transmission, and wherein the telephonic connection is separate from the Internet connection used by the end-user computing device to download the web page.
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1. A non-transitory machine-readable medium having stored thereon a set of instructions, which when executed by a server system causes the server system to perform a method, the method comprising: transmitting, by the server system to an end-user computing device via an Internet, a web page configured to indicate an option to receive, from a user, a request via the web page and a browser of the end-user computing device; processing, by the server system, a first indication of a selection of the option; selecting, by the server system, an advisor from a plurality of advisors for indication in an advertisement for the advisor, the selecting based at least in part on a compensation rate of the advisor and a quality score of the advisor; determining, by the server system, a status of the advisor; in response to the selection, transmitting to the end-user computing device the advertisement for the advisor, the advertisement to be visually displayed via the end-user computing device, wherein the advertisement includes: at least one reference selectable by the user to request a real-time communication connection with the advisor, wherein the real-time communication connection is separate from an Internet connection used by the end-user computing device to download the web page; and an indication of the status of the advisor; while the advisor is determined to be currently available for real-time communication, receiving, by the server system, from the end-user computing device a second indication of a user selection of the at least one reference made via the advertisement, the user selection of the at least one reference corresponding to the advisor; and in response to the second indication of the user selection of the at least one reference, establishing a telephonic connection via a central controller of the server system to provide the real-time communication connection requested between the advisor and the user, wherein the establishing the telephonic connection comprises the central controller directing a first transmission to the user, the central controller directing a second transmission to the advisor, and the central controller joining the first transmission and the second transmission, and wherein the telephonic connection is separate from the Internet connection used by the end-user computing device to download the web page. 7. The medium of claim 1 , wherein the method further comprises: charging an amount for each telephonic connection established between the advisor and the user based on the advertisement.
| 0.548817 |
1. A computing apparatus defining a first location in a network and comprising: at least one memory comprising instructions; and at least one computing processor configured for executing the instructions, wherein the instructions cause the at least one computing processor to perform the operations of: establishing, using computing instructions comprised in the at least one memory, a web browsing session with the network; selecting, using a traffic routing software unit comprised in the at least one computing processor, a secure web container through which web content is to be accessed during the web browsing session, wherein the network comprises two or more secure web containers, and wherein a first secure web container, of the two or more secure web containers, is located in a first secure web container location of the network and a second secure web container, of the two or more secure web containers, is located in a second secure web container location of the network; selecting, using the traffic routing software unit, an egress node through which the web content is to be routed during the web browsing session, wherein the network comprises two or more egress nodes, and wherein a first egress node, of the two or more egress nodes, is located in a first egress node location of the network and a second egress node, of the two or more egress nodes, is located in a second egress node location of the network; and providing, via a communication connection between at least one of the two or more secure web containers and a user device defining a second location in the network, a user of the user device with secure access to the web content, wherein the web content is rendered or accessed at the secure web container, and wherein providing the user of the user device with the secure access to the web content comprises manipulating, at the secure web container, one or more elements of a browser fingerprint presented to or accessed by a web server associated with the web content such that a characteristic of the user device comprised in the manipulated browser fingerprint and a third location presented to or accessed by the web server is different from an actual characteristic of the user device and the second location, respectively.
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1. A computing apparatus defining a first location in a network and comprising: at least one memory comprising instructions; and at least one computing processor configured for executing the instructions, wherein the instructions cause the at least one computing processor to perform the operations of: establishing, using computing instructions comprised in the at least one memory, a web browsing session with the network; selecting, using a traffic routing software unit comprised in the at least one computing processor, a secure web container through which web content is to be accessed during the web browsing session, wherein the network comprises two or more secure web containers, and wherein a first secure web container, of the two or more secure web containers, is located in a first secure web container location of the network and a second secure web container, of the two or more secure web containers, is located in a second secure web container location of the network; selecting, using the traffic routing software unit, an egress node through which the web content is to be routed during the web browsing session, wherein the network comprises two or more egress nodes, and wherein a first egress node, of the two or more egress nodes, is located in a first egress node location of the network and a second egress node, of the two or more egress nodes, is located in a second egress node location of the network; and providing, via a communication connection between at least one of the two or more secure web containers and a user device defining a second location in the network, a user of the user device with secure access to the web content, wherein the web content is rendered or accessed at the secure web container, and wherein providing the user of the user device with the secure access to the web content comprises manipulating, at the secure web container, one or more elements of a browser fingerprint presented to or accessed by a web server associated with the web content such that a characteristic of the user device comprised in the manipulated browser fingerprint and a third location presented to or accessed by the web server is different from an actual characteristic of the user device and the second location, respectively. 12. The computing apparatus of claim 1 , wherein the third location is comprised in the manipulated browser fingerprint.
| 0.606248 |
12. A system for digitally signing an electronic document with a user-entered image of a signature, the system comprising: a computing apparatus, including a display screen and an input device, operative to: render the document; examine properties of each of a plurality of signing certificates available to the user; in response to examining the properties, filter out signing certificates that are used for network authentication and for code signing from among the plurality of signing certificates to determine signing certificates that match a selection criterion; select a signing certificate from among the signing certificates that match the selection criterion; render a sign dialog associated with the document; receive a signature from a user, wherein the signature comprises a written signature from the user; create a digital signature that includes an image of the written signature from the user; create a single unique value, the single unique value representative of both the image of the written signature from the user and of the document; and save the unique value in association with the document thereby digitally signing the document, wherein the unique value is associated with the signing certificate automatically selected.
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12. A system for digitally signing an electronic document with a user-entered image of a signature, the system comprising: a computing apparatus, including a display screen and an input device, operative to: render the document; examine properties of each of a plurality of signing certificates available to the user; in response to examining the properties, filter out signing certificates that are used for network authentication and for code signing from among the plurality of signing certificates to determine signing certificates that match a selection criterion; select a signing certificate from among the signing certificates that match the selection criterion; render a sign dialog associated with the document; receive a signature from a user, wherein the signature comprises a written signature from the user; create a digital signature that includes an image of the written signature from the user; create a single unique value, the single unique value representative of both the image of the written signature from the user and of the document; and save the unique value in association with the document thereby digitally signing the document, wherein the unique value is associated with the signing certificate automatically selected. 14. The system of claim 12 , wherein the computing apparatus operative to render the sign dialog is operative to prompt the user to write the signature on a surface of the display screen with the input device to sign each document.
| 0.730921 |
25. A data storage system, comprising: a cache; a data storage; a dataset access log maintaining entries representing accesses of cached datasets; and a cache management engine linked to the data storage, the cache, and the dataset access log, the cache management engine including a single output back propagation neural network, the cache management engine being programmed to perform a method to train the neural network to evaluate cached datasets, the method comprising: designating multiple predetermined event triggers, each trigger comprising a predetermined event occurring in association with any one of the datasets contained in the cache; in response to the occurrence of an event trigger, the event trigger occurring at a trigger time and in association with a first dataset represented in the dataset access log, consulting the dataset access log to identify a latest access time of the first dataset; establishing one or more training times in an interval from the trigger time to the latest access time; for each training time, storing selected training input including characteristics of the first dataset in a training record, the characteristics having been exhibited by the first dataset at the training time and also storing training output including a representation of value provided by having the first dataset present in the cache to satisfy future requests for access to the first dataset; and according to a predetermined schedule, providing the training input from the training record as input to a single output back propagation neural network yielding a neural network output, and training the neural network according to any difference between the training output and the neural network output.
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25. A data storage system, comprising: a cache; a data storage; a dataset access log maintaining entries representing accesses of cached datasets; and a cache management engine linked to the data storage, the cache, and the dataset access log, the cache management engine including a single output back propagation neural network, the cache management engine being programmed to perform a method to train the neural network to evaluate cached datasets, the method comprising: designating multiple predetermined event triggers, each trigger comprising a predetermined event occurring in association with any one of the datasets contained in the cache; in response to the occurrence of an event trigger, the event trigger occurring at a trigger time and in association with a first dataset represented in the dataset access log, consulting the dataset access log to identify a latest access time of the first dataset; establishing one or more training times in an interval from the trigger time to the latest access time; for each training time, storing selected training input including characteristics of the first dataset in a training record, the characteristics having been exhibited by the first dataset at the training time and also storing training output including a representation of value provided by having the first dataset present in the cache to satisfy future requests for access to the first dataset; and according to a predetermined schedule, providing the training input from the training record as input to a single output back propagation neural network yielding a neural network output, and training the neural network according to any difference between the training output and the neural network output. 29. The system of claim 25, the establishing of one or more training times in an interval from the event trigger time to the latest access time comprising: establishing training times at the event trigger time, the latest access time, and at one or more intermediate times satisfying a predefined criteria.
| 0.516692 |
4. The method of claim 1 wherein the plurality of content items includes textual user comments supplied by the plurality of users related to multiple topics within a category, and wherein the multiple selected factors include, for each of the multiple topics, a total quantity of content items during each of the multiple time periods that are associated with the topic, a rate of change in total quantity of content items supplied between two or more of the multiple time periods that are associated with the topic, and an aggregate sentiment of content items during at least one of the multiple time periods for the topic.
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4. The method of claim 1 wherein the plurality of content items includes textual user comments supplied by the plurality of users related to multiple topics within a category, and wherein the multiple selected factors include, for each of the multiple topics, a total quantity of content items during each of the multiple time periods that are associated with the topic, a rate of change in total quantity of content items supplied between two or more of the multiple time periods that are associated with the topic, and an aggregate sentiment of content items during at least one of the multiple time periods for the topic. 5. The method of claim 4 wherein the display of the generated information occurs on a client device of each of the one or more users and includes multiple displayed items such that each of the multiple topics has an associated displayed item that represents a comment group for the topic, and wherein the multiple visual aspects include a size of each of the multiple displayed items, a vertical location or movement of each of the multiple displayed items, a halo or shadow associated with each of the multiple displayed items, and a color of each of the multiple displayed items.
| 0.854511 |
1. A method comprising: identifying extracted-from-article entities extracted from content of an article; identifying a set of related entities, wherein each related entity in the set of related entities is related to at least one of the extracted-from-article entities; performing searches on the extracted-from-article entities and the set of related entities; identifying quality search results from the searches based at least on one or more measures of relevancy; maintaining a plurality of different search results templates, wherein each search results template of the plurality of different search results templates is associated a corresponding set of constraints; from the extracted-from-article entities and the related entities, selecting a plurality of template-matching entities; wherein the plurality of template-matching entities includes a first entity and a second entity; wherein the plurality of template-matching entities are selected based, at least in part, on the quality search results produced for each template-matching entity meeting the constraints for at least one search results template of the plurality of different search results templates; generating a supplement including two or more sections, each of the two or more sections corresponding to a different template-matching entity of the plurality of template-matching entities; wherein the two or more sections include a first section that corresponds to the first entity, and a second section that corresponds to the second entity; wherein each particular section of the two or more sections displays the quality search results obtained for the template-matching entity that corresponds to the particular section; selecting a first template, of the different search result templates, for the first section based on types of the quality search results to be displayed in the first section; selecting a second template, of the different search result templates, for the second section based on types of the quality search results to be displayed in the second section; wherein the first template is different from the second template; displaying, within the supplement, quality search results in the first section arranged according to the first template, and quality search results in the second section arranged according to the second template; wherein the method is performed by one or more computing devices.
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1. A method comprising: identifying extracted-from-article entities extracted from content of an article; identifying a set of related entities, wherein each related entity in the set of related entities is related to at least one of the extracted-from-article entities; performing searches on the extracted-from-article entities and the set of related entities; identifying quality search results from the searches based at least on one or more measures of relevancy; maintaining a plurality of different search results templates, wherein each search results template of the plurality of different search results templates is associated a corresponding set of constraints; from the extracted-from-article entities and the related entities, selecting a plurality of template-matching entities; wherein the plurality of template-matching entities includes a first entity and a second entity; wherein the plurality of template-matching entities are selected based, at least in part, on the quality search results produced for each template-matching entity meeting the constraints for at least one search results template of the plurality of different search results templates; generating a supplement including two or more sections, each of the two or more sections corresponding to a different template-matching entity of the plurality of template-matching entities; wherein the two or more sections include a first section that corresponds to the first entity, and a second section that corresponds to the second entity; wherein each particular section of the two or more sections displays the quality search results obtained for the template-matching entity that corresponds to the particular section; selecting a first template, of the different search result templates, for the first section based on types of the quality search results to be displayed in the first section; selecting a second template, of the different search result templates, for the second section based on types of the quality search results to be displayed in the second section; wherein the first template is different from the second template; displaying, within the supplement, quality search results in the first section arranged according to the first template, and quality search results in the second section arranged according to the second template; wherein the method is performed by one or more computing devices. 4. The method of claim 1 , wherein the step of performing searches comprises: based on the first entity, determining in which one or more search repositories, of a plurality of search repositories, to conduct one or more first searches for the first entity, the one or more search repositories being less in number than the plurality of search repositories; identifying multiple search results for the first entity from the one or more first searches.
| 0.528598 |
13. A tangible computer program product comprising a computer readable storage medium having control logic stored therein for causing a computer to process text, the control logic comprising: computer readable first program code that causes the computer to generate an abstract mathematical vector space based on a collection of documents, wherein respective documents in the collection of documents have a representation in the abstract mathematical vector space and respective terms contained in the collection of documents have a representation in the abstract mathematical vector space; and computer readable second program code that causes the computer to perturb the abstract mathematical vector space to produce a perturbed abstract mathematical vector space that is stored in an electronic format accessible to a user, wherein perturbing the abstract mathematical vector space comprises at least one of (i) modifying the representation of a document with a newly computed representation for that document, and (ii) modifying the representation of a term with a newly computed representation for that term.
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13. A tangible computer program product comprising a computer readable storage medium having control logic stored therein for causing a computer to process text, the control logic comprising: computer readable first program code that causes the computer to generate an abstract mathematical vector space based on a collection of documents, wherein respective documents in the collection of documents have a representation in the abstract mathematical vector space and respective terms contained in the collection of documents have a representation in the abstract mathematical vector space; and computer readable second program code that causes the computer to perturb the abstract mathematical vector space to produce a perturbed abstract mathematical vector space that is stored in an electronic format accessible to a user, wherein perturbing the abstract mathematical vector space comprises at least one of (i) modifying the representation of a document with a newly computed representation for that document, and (ii) modifying the representation of a term with a newly computed representation for that term. 20. The computer program product of claim 13 , wherein the computer readable second program code further comprises code that causes the computer to delete from the perturbed abstract mathematical vector space term data relating to a term.
| 0.747492 |
1. A method for securing data transmitted between a client device and a server comprising: obtaining, by an intermediate module, input text sent from said client device to the server; processing said input text at the intermediate module to obtain processed text, wherein said processing comprises: when the input text is not to be searchable by the server, transforming the input text non-deterministically or a combination of deterministically and non-deterministically, using at least one key to obtain processed text; and when the input text is to be searchable by the server, transforming said input text deterministically, using at least one key to obtain processed text, and including a statistically significant feature in the processed text, the feature including a rarely used character or group of characters; and transmitting the processed text to the server.
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1. A method for securing data transmitted between a client device and a server comprising: obtaining, by an intermediate module, input text sent from said client device to the server; processing said input text at the intermediate module to obtain processed text, wherein said processing comprises: when the input text is not to be searchable by the server, transforming the input text non-deterministically or a combination of deterministically and non-deterministically, using at least one key to obtain processed text; and when the input text is to be searchable by the server, transforming said input text deterministically, using at least one key to obtain processed text, and including a statistically significant feature in the processed text, the feature including a rarely used character or group of characters; and transmitting the processed text to the server. 28. The method of claim 1 , wherein the input text includes textual information and at least one instruction relating to the manner of handling said textual information, wherein the method further comprises: processing the at least one instruction to obtain at least one processed instruction; including said at least one processed instruction in said processed text; and including an indication in said processed text indicating presence and location of the processed instruction within the processed text.
| 0.563822 |
16. A method of performing searches of a plurality of data sources that each includes at least one data item, the searches performed using relevance feedback from previous searches, said method comprising: presenting a first search result of the data sources to a user, the first search result obtained using an adaptive search engine, based on a first search query, wherein the search result includes at least one file identifier that corresponds to at least one data item in ranked order based on a relevancy ranking of the data item with respect to the first search query; receiving, from the user, a selection of one of the at least one file identifiers; presenting the data item corresponding to the selected file identifier for viewing by the user; unobtrusively monitoring an addition of a note to a note panel associated with the first search query by the user, the note including at least a portion of the selected data item, the at least a portion of the selected data item selected via copying and pasting or dragging and dropping of the note into the note panel, wherein the at least a portion of the selected data item is determined by the user to be relevant to the first search query; associating the addition of the note with an increased relevancy ranking with respect to the first search query as the note is added to the note panel; storing the at least a portion of the selected data item in the note panel associated with the first search query such that the note panel is accessible at a future time by at least one of the user and a second user; providing the at least one of the user and the second user with the at least a portion of the selected data item when responding to a second search query similar to the first search query by locating and accessing the note panel associated with the first search query.
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16. A method of performing searches of a plurality of data sources that each includes at least one data item, the searches performed using relevance feedback from previous searches, said method comprising: presenting a first search result of the data sources to a user, the first search result obtained using an adaptive search engine, based on a first search query, wherein the search result includes at least one file identifier that corresponds to at least one data item in ranked order based on a relevancy ranking of the data item with respect to the first search query; receiving, from the user, a selection of one of the at least one file identifiers; presenting the data item corresponding to the selected file identifier for viewing by the user; unobtrusively monitoring an addition of a note to a note panel associated with the first search query by the user, the note including at least a portion of the selected data item, the at least a portion of the selected data item selected via copying and pasting or dragging and dropping of the note into the note panel, wherein the at least a portion of the selected data item is determined by the user to be relevant to the first search query; associating the addition of the note with an increased relevancy ranking with respect to the first search query as the note is added to the note panel; storing the at least a portion of the selected data item in the note panel associated with the first search query such that the note panel is accessible at a future time by at least one of the user and a second user; providing the at least one of the user and the second user with the at least a portion of the selected data item when responding to a second search query similar to the first search query by locating and accessing the note panel associated with the first search query. 19. A method in accordance with claim 16 further comprising associating the user selection of at least a portion of the selected data item with an increased relevancy ranking with respect to the first search query as the data item is dragged and dropped from the search result to a document repository.
| 0.584286 |
14. A system comprising: a relevancy-matching server; a client device to constrain an executable environment within a security sandbox, and to execute a sandboxed application in the constrained executable environment; a networked device to generate primary data using preliminary data, the networked device executing a content identification service to identify content of media data thereon to automatically generate the preliminary data, the content identification service being at least one of: integrated with a chipset of the networked device and integrated with at least one of: a video pipeline and an audio pipeline of the networked device, the content identification service being configured to access at least one of: a frame buffer, a video buffer and an audio buffer within the networked device, the preliminary data being any of an audio fingerprint data and a video fingerprint data, and the primary data being one of: identical to the preliminary data and a converted form of the preliminary data suitable for processing through the relevancy-matching server as one of: content identification data and content identification history; and a pairing server, wherein the relevancy-matching server, the client device and the networked device are communicatively coupled to one another through a network, wherein the client device is configured to automatically establish a communication between the sandboxed application and a sandbox-reachable service of the networked device through accessing a discovery module of the pairing server after the networked device automatically announces the sandbox-reachable service thereof to the discovery module, the discovery module being a self-contained component that performs a discovery service that detects a number of devices in the network that offer the content identification service, and wherein, based on the automatically established communication between the sandboxed application and the sandbox-reachable service of the networked device, the relevancy-matching server is configured to: match the primary data with targeted data based on a relevancy factor comprising at least one of: a category of the primary data, a behavioral history of the user, a category of the sandboxed application, and other information associated with the user, search a storage for the targeted data, and communicate the targeted data to at least one of: the client device and the networked device for rendering thereon.
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14. A system comprising: a relevancy-matching server; a client device to constrain an executable environment within a security sandbox, and to execute a sandboxed application in the constrained executable environment; a networked device to generate primary data using preliminary data, the networked device executing a content identification service to identify content of media data thereon to automatically generate the preliminary data, the content identification service being at least one of: integrated with a chipset of the networked device and integrated with at least one of: a video pipeline and an audio pipeline of the networked device, the content identification service being configured to access at least one of: a frame buffer, a video buffer and an audio buffer within the networked device, the preliminary data being any of an audio fingerprint data and a video fingerprint data, and the primary data being one of: identical to the preliminary data and a converted form of the preliminary data suitable for processing through the relevancy-matching server as one of: content identification data and content identification history; and a pairing server, wherein the relevancy-matching server, the client device and the networked device are communicatively coupled to one another through a network, wherein the client device is configured to automatically establish a communication between the sandboxed application and a sandbox-reachable service of the networked device through accessing a discovery module of the pairing server after the networked device automatically announces the sandbox-reachable service thereof to the discovery module, the discovery module being a self-contained component that performs a discovery service that detects a number of devices in the network that offer the content identification service, and wherein, based on the automatically established communication between the sandboxed application and the sandbox-reachable service of the networked device, the relevancy-matching server is configured to: match the primary data with targeted data based on a relevancy factor comprising at least one of: a category of the primary data, a behavioral history of the user, a category of the sandboxed application, and other information associated with the user, search a storage for the targeted data, and communicate the targeted data to at least one of: the client device and the networked device for rendering thereon. 23. The system of claim 14 , wherein the client device is determined to be associated with the user based on a unique identifier that is unchanging.
| 0.622342 |
20. The non-transitory computer readable storage medium according to claim 15 wherein providing said visual cue to indicate that the move option has been selected for said first icon comprises altering the appearance of said first icon with respect to the others of said plurality of icons.
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20. The non-transitory computer readable storage medium according to claim 15 wherein providing said visual cue to indicate that the move option has been selected for said first icon comprises altering the appearance of said first icon with respect to the others of said plurality of icons. 24. The non-transitory computer readable storage medium according to claim 20 wherein said altering the appearance of said one of said plurality of icons comprises displaying a move cursor therewith, said move cursor configured to indicate a predefined position for placing said first icon.
| 0.919547 |
28. The media of claim 26 , wherein the knowledge base is domain-specific.
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28. The media of claim 26 , wherein the knowledge base is domain-specific. 29. The media of claim 28 , wherein the domain is entertainment.
| 0.975397 |
10. One or more computer-readable non-transitory storage media embodying software operable when executed to: provide a first element viewable on each of a plurality of particular web pages of a website upon initial display of a particular web page and soliciting page-specific user feedback concerning the particular web page upon initial display of the particular web page, the first element appearing identically and behaving consistently on each of the plurality of particular web pages; provide a second element displayed in response to user selection of the first element and soliciting one or more page-specific subjective ratings of the particular web page and one or more associated page-specific open-ended comments concerning the particular web page, the second element appearing identically and behaving consistently each time it is displayed in response to user selection of the first element viewable on a particular web page; receive the user selection of the first element and initiate display of the second element in response; and receive the page-specific user feedback comprising one or more page-specific subjective ratings of the particular web page and one or more associated page-specific open-ended comments concerning the particular web page for reporting to an interested party, the page-specific user feedback concerning the particular webpages having been provided by a user while the user remained at the particular web page, and the page-specific user feedback allowing the interested party to access page-specific subjective ratings and associated page-specific open-ended comments across the plurality of particular web pages to identify one or more particular web pages for which the page-specific user feedback is notable relative to page-specific user feedback for other particular web pages; wherein the first element is viewable within a browser window upon initial display of the particular web page and remains viewable within the browse window, at east prior to the user selection, regardless of user scrolling.
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10. One or more computer-readable non-transitory storage media embodying software operable when executed to: provide a first element viewable on each of a plurality of particular web pages of a website upon initial display of a particular web page and soliciting page-specific user feedback concerning the particular web page upon initial display of the particular web page, the first element appearing identically and behaving consistently on each of the plurality of particular web pages; provide a second element displayed in response to user selection of the first element and soliciting one or more page-specific subjective ratings of the particular web page and one or more associated page-specific open-ended comments concerning the particular web page, the second element appearing identically and behaving consistently each time it is displayed in response to user selection of the first element viewable on a particular web page; receive the user selection of the first element and initiate display of the second element in response; and receive the page-specific user feedback comprising one or more page-specific subjective ratings of the particular web page and one or more associated page-specific open-ended comments concerning the particular web page for reporting to an interested party, the page-specific user feedback concerning the particular webpages having been provided by a user while the user remained at the particular web page, and the page-specific user feedback allowing the interested party to access page-specific subjective ratings and associated page-specific open-ended comments across the plurality of particular web pages to identify one or more particular web pages for which the page-specific user feedback is notable relative to page-specific user feedback for other particular web pages; wherein the first element is viewable within a browser window upon initial display of the particular web page and remains viewable within the browse window, at east prior to the user selection, regardless of user scrolling. 12. The media of claim 10 , wherein the software associated with the second element comprises a call to a directory containing a script to receive the page-specific user feedback.
| 0.623068 |
1. A method for determining content that is significant to a user within a web page, the method comprising: electronically receiving an indication from a user that the user finds significant content that appears within a web page presently displayed to the user; only after receiving the indication, electronically analyzing, using at least one processor, the web page to identify a set of topics associated with the content that appears within the web page in response to the received indication; only after analyzing the web page to identify the set of topics, selecting, from the set of topics, a subset of topics that characterizes the content that the user found significant within the web page, the topics included within the set of topics that are not included within the subset of topics being topics that are associated with the content of the web page but that are deemed not to characterize the content that the user found significant within the web page; and updating a user profile associated with the user based on the subset of topics; wherein a user profile associated with a user is stored on a host device and updating the user profile is performed by the host device; receiving a request for content from a user; receiving a user identity associated with the user; accessing a user profile associated with the user identity; determining content to provide in response to the request based on information within the accessed user profile; and transmitting the content to a client device for display to the user.
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1. A method for determining content that is significant to a user within a web page, the method comprising: electronically receiving an indication from a user that the user finds significant content that appears within a web page presently displayed to the user; only after receiving the indication, electronically analyzing, using at least one processor, the web page to identify a set of topics associated with the content that appears within the web page in response to the received indication; only after analyzing the web page to identify the set of topics, selecting, from the set of topics, a subset of topics that characterizes the content that the user found significant within the web page, the topics included within the set of topics that are not included within the subset of topics being topics that are associated with the content of the web page but that are deemed not to characterize the content that the user found significant within the web page; and updating a user profile associated with the user based on the subset of topics; wherein a user profile associated with a user is stored on a host device and updating the user profile is performed by the host device; receiving a request for content from a user; receiving a user identity associated with the user; accessing a user profile associated with the user identity; determining content to provide in response to the request based on information within the accessed user profile; and transmitting the content to a client device for display to the user. 30. The method of claim 1 , wherein analyzing the web page to identify the set of topics comprises taking a screen shot of a portion of the web page displayed to the user on a display at the time of a generation of the indication by the user and applying optical character recognition to the screen shot to identify the set of topics.
| 0.581527 |
1. A method of multi-phased personalized searching, comprising: performing by a computer system: performing a search of data in response to a first query and an identifier of a searcher, wherein the search produces result data based on a search term in the first query and the identifier of the searcher; selecting a first subset of terms in data items of a subset of data items in the result data; computing correlation weights for corresponding terms in the first subset of terms, where each of the correlation weights is based on correlation of the corresponding term to data items in the subset of data items; selecting a second subset of the terms in the first subset of terms according to the correlation weights; producing a second query containing the second subset of terms; and processing the second query to perform further searching that retrieves data items matching the second subset of terms from public websites available over an Internet, wherein the multi-phase personalized searching includes: a first search phase comprising receiving the first query, obtaining the identifier of the searcher, and the performing of the search of the data in response to the first query and the identifier of the searcher, and a second search phase comprising the selecting of the first subset of terms, the computing of the correlation weights, the selecting of the second subset of the terms in the first subset of terms, and the producing of the second query.
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1. A method of multi-phased personalized searching, comprising: performing by a computer system: performing a search of data in response to a first query and an identifier of a searcher, wherein the search produces result data based on a search term in the first query and the identifier of the searcher; selecting a first subset of terms in data items of a subset of data items in the result data; computing correlation weights for corresponding terms in the first subset of terms, where each of the correlation weights is based on correlation of the corresponding term to data items in the subset of data items; selecting a second subset of the terms in the first subset of terms according to the correlation weights; producing a second query containing the second subset of terms; and processing the second query to perform further searching that retrieves data items matching the second subset of terms from public websites available over an Internet, wherein the multi-phase personalized searching includes: a first search phase comprising receiving the first query, obtaining the identifier of the searcher, and the performing of the search of the data in response to the first query and the identifier of the searcher, and a second search phase comprising the selecting of the first subset of terms, the computing of the correlation weights, the selecting of the second subset of the terms in the first subset of terms, and the producing of the second query. 6. The method of claim 1 , wherein the identifier of the searcher is obtained independently of a search input provided by the searcher to produce the first query.
| 0.560729 |
1. A method comprising: incorporating one or more modules into an online social networking service to improve a capability of the online networking service to identify a content item stored in a database of the online social networking service as a spam content item, the one or more modules configuring one or more computer processors of the online social networking service to perform operations, the operations comprising: generating a recommendation graph represented as a matrix listing vertices on both the vertical and horizontal axes and edges as entries corresponding to an intersection of the vertices, each of the vertices representing respective electronic profiles of members of the social networking service, each of the edges representing a recommendation of a recommendee member of the social networking service by a recommender member of the social networking service; training a reputation model to learn a respective importance for each respective feature of a subset of features of the electronic profiles, the training including providing the generated recommendation graph to a classifier; estimating a professional reputation of a member, the estimating including applying the trained reputation model to a feature vector of the member, the feature vector including feature values for the subset of the features, the applying including adjusting at least one of the feature values by a respective weight corresponding to the respective learned importance of the respective feature; aggregating a set of estimated professional reputations of members that have engaged with the content item stored in the database of the online social networking service; performing the identifying based on the aggregated set of estimated professional reputations; and determining a target audience for the content item based on the identifying.
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1. A method comprising: incorporating one or more modules into an online social networking service to improve a capability of the online networking service to identify a content item stored in a database of the online social networking service as a spam content item, the one or more modules configuring one or more computer processors of the online social networking service to perform operations, the operations comprising: generating a recommendation graph represented as a matrix listing vertices on both the vertical and horizontal axes and edges as entries corresponding to an intersection of the vertices, each of the vertices representing respective electronic profiles of members of the social networking service, each of the edges representing a recommendation of a recommendee member of the social networking service by a recommender member of the social networking service; training a reputation model to learn a respective importance for each respective feature of a subset of features of the electronic profiles, the training including providing the generated recommendation graph to a classifier; estimating a professional reputation of a member, the estimating including applying the trained reputation model to a feature vector of the member, the feature vector including feature values for the subset of the features, the applying including adjusting at least one of the feature values by a respective weight corresponding to the respective learned importance of the respective feature; aggregating a set of estimated professional reputations of members that have engaged with the content item stored in the database of the online social networking service; performing the identifying based on the aggregated set of estimated professional reputations; and determining a target audience for the content item based on the identifying. 6. The method of claim 1 , wherein the estimated professional reputation of the member corresponds to a level of seniority of the member.
| 0.61714 |
1. A method of using a speech focus to allocate speech processing resources in a speech processing system comprising at least one electronic processor, the speech processing system having a plurality of speech-enabled applications that share speech processing resources of the speech processing system, the plurality of speech-enabled applications gaining access to the speech processing resources only after obtaining the speech focus, the method comprising: establishing a waiting queue adapted to order in priority requests from any of the plurality of speech-enabled applications waiting to obtain the speech focus; establishing a default focus receiver to override at least some default speech behavior of the speech processing system; placing the default focus receiver in the waiting queue at a priority level above the default speech behavior, such that when none of the plurality of speech-enabled applications are requesting the speech focus the default focus receiver obtains the speech focus; detecting a speech processing event occurrence requiring an allocation of at least a portion of the shared speech processing resources; if the waiting queue does not include requests from any of the plurality of speech-enabled applications, determining whether the default focus receiver comprises an event handler having override behavior for occurrence of the speech processing event; performing at least one speech processing action in accordance with machine-readable instructions of the event handler if the event handler is determined to have override behavior for occurrence of the speech processing event occurrence; and performing at least one speech processing action in accordance with machine-readable instructions defining the default speech behavior if the event handler is determined not to have override behavior for occurrence of the speech processing event.
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1. A method of using a speech focus to allocate speech processing resources in a speech processing system comprising at least one electronic processor, the speech processing system having a plurality of speech-enabled applications that share speech processing resources of the speech processing system, the plurality of speech-enabled applications gaining access to the speech processing resources only after obtaining the speech focus, the method comprising: establishing a waiting queue adapted to order in priority requests from any of the plurality of speech-enabled applications waiting to obtain the speech focus; establishing a default focus receiver to override at least some default speech behavior of the speech processing system; placing the default focus receiver in the waiting queue at a priority level above the default speech behavior, such that when none of the plurality of speech-enabled applications are requesting the speech focus the default focus receiver obtains the speech focus; detecting a speech processing event occurrence requiring an allocation of at least a portion of the shared speech processing resources; if the waiting queue does not include requests from any of the plurality of speech-enabled applications, determining whether the default focus receiver comprises an event handler having override behavior for occurrence of the speech processing event; performing at least one speech processing action in accordance with machine-readable instructions of the event handler if the event handler is determined to have override behavior for occurrence of the speech processing event occurrence; and performing at least one speech processing action in accordance with machine-readable instructions defining the default speech behavior if the event handler is determined not to have override behavior for occurrence of the speech processing event. 6. The method of claim 1 , wherein the speech processing system is an embedded speech processing system, wherein the plurality of speech-enabled applications that compete for the speech focus are stored within read-only-memory of the embedded speech processing system.
| 0.570288 |
1. A computer-implemented method of automatically evolving survey questions, comprising: receiving, at a processor, a first set of textual responses to at least one open-ended question in a survey; reformatting the first set of textual responses as a set of possible textual responses in the form of closed-ended questions with numerical ratings as options; storing the set of possible textual responses in a memory in communication with the processor; selecting and transmitting a subset of the set of possible textual response to survey recipients; receiving, at the processor, participant numerical ratings for the possible textual response; using the processor to generate a confidence measure for each possible textual response based upon the participant numerical ratings; generating a ranked list using the confidence measure, with the processor; storing the ranked list of textual responses; and converting at least one of the original open-ended questions in the initial version of the survey to a closed-ended question, using a subset of the textual responses provided.
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1. A computer-implemented method of automatically evolving survey questions, comprising: receiving, at a processor, a first set of textual responses to at least one open-ended question in a survey; reformatting the first set of textual responses as a set of possible textual responses in the form of closed-ended questions with numerical ratings as options; storing the set of possible textual responses in a memory in communication with the processor; selecting and transmitting a subset of the set of possible textual response to survey recipients; receiving, at the processor, participant numerical ratings for the possible textual response; using the processor to generate a confidence measure for each possible textual response based upon the participant numerical ratings; generating a ranked list using the confidence measure, with the processor; storing the ranked list of textual responses; and converting at least one of the original open-ended questions in the initial version of the survey to a closed-ended question, using a subset of the textual responses provided. 4. The computer-implemented method of claim 1 , wherein the confidence measure is based on a standard error of the mean.
| 0.594332 |
1. A method for providing online support to a user of a client application executing on a client computing device, comprising: initiating a client application wizard on the client computing device comprising a plurality of dialogs for completing a task; displaying a dialog of the plurality of dialogs to the user of the client application, wherein the client application is one selected from a group consisting of a tax preparation application, a payroll application, and a financial management application; determining by a user support module of the client application that a network connection is available on the client computing device; enabling by the user support module of the client application, after determining that the network connection is available on the client computing device, a help threshold associated with the dialog and comprising a help threshold percentage; calculating, by the user support module of the client application, a result based on a dollar amount in a first field of the client application wizard populated by the user; determining, by the user support module executing on a computer processor of the client computing device, and based on a comparison of the result and the help threshold percentage, that the help threshold is exceeded after enabling the help threshold, wherein exceeding the help threshold indicates that the user of the client application requires assistance in completing the task; sending via the network connection of the client computing device, in response to the help threshold being exceeded, an availability request to an external support server; receiving via the network connection of the client computing device, after sending the availability request, a confirmation of an available support specialist specializing in completing the task; displaying, in response to receiving the confirmation, an indication to the user of the client application that the support specialist is available over the network connection; receiving, in response to displaying the indication to the user of the client application, a support request from the user of the client application; opening a chat dialog over the network connection of the client computing device in response to receiving the support request from the user of the client application; and initiating, using the chat dialog, a chat session over the network connection of the client computing device between the user and the available support specialist.
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1. A method for providing online support to a user of a client application executing on a client computing device, comprising: initiating a client application wizard on the client computing device comprising a plurality of dialogs for completing a task; displaying a dialog of the plurality of dialogs to the user of the client application, wherein the client application is one selected from a group consisting of a tax preparation application, a payroll application, and a financial management application; determining by a user support module of the client application that a network connection is available on the client computing device; enabling by the user support module of the client application, after determining that the network connection is available on the client computing device, a help threshold associated with the dialog and comprising a help threshold percentage; calculating, by the user support module of the client application, a result based on a dollar amount in a first field of the client application wizard populated by the user; determining, by the user support module executing on a computer processor of the client computing device, and based on a comparison of the result and the help threshold percentage, that the help threshold is exceeded after enabling the help threshold, wherein exceeding the help threshold indicates that the user of the client application requires assistance in completing the task; sending via the network connection of the client computing device, in response to the help threshold being exceeded, an availability request to an external support server; receiving via the network connection of the client computing device, after sending the availability request, a confirmation of an available support specialist specializing in completing the task; displaying, in response to receiving the confirmation, an indication to the user of the client application that the support specialist is available over the network connection; receiving, in response to displaying the indication to the user of the client application, a support request from the user of the client application; opening a chat dialog over the network connection of the client computing device in response to receiving the support request from the user of the client application; and initiating, using the chat dialog, a chat session over the network connection of the client computing device between the user and the available support specialist. 10. The method of claim 1 , further comprising: obtaining a plurality of support-related metadata from a plurality of client applications comprising the client application, wherein the plurality of support-related metadata corresponds to support requests received from the client applications; identifying a common trend based on the plurality of support-related metadata; and defining a new help threshold based on the common trend.
| 0.537321 |
12. A computer-implemented method for training acoustic models in an automatic speech recognition system comprising the steps of: a. training a first acoustic model in the automatic speech recognition system using a speech corpus comprising a plurality of speech audio files and a respective plurality of transcriptions for the plurality of speech audio files by calculating a maximum likelihood criterion of the speech corpus and estimating parameters of a probability distribution of said first acoustic model that maximize the maximum likelihood criterion; b. performing a forced Viterbi alignment of the plurality of speech audio files using the trained first acoustic model in the automatic speech recognition system and determining an average frame likelihood score β for each of the plurality of speech audio files; c. calculating a global frame likelihood score δ for the plurality of speech audio files, wherein the global frame likelihood score δ comprises an average of frame likelihoods over the entire corpus; d. performing a phoneme recognition of the plurality of speech audio files using the trained first acoustic model and the plurality of transcriptions in the automatic speech recognition system; e. calculating a phoneme recognition accuracy γ for each of the plurality of speech audio files and a global phoneme recognition accuracy v for the plurality of speech audio files; f. creating a subset speech corpus comprising audio files retained from the plurality of speech audio files which meet at least one predetermined criterion indicating that an audio file has good audio quality, the at least one predetermined criterion comprising at least one criterion selected from the group comprising: a first criterion based on the average frame likelihood score β of the retained speech audio file and the global frame likelihood score δ; and a second criterion based on the phoneme recognition accuracy γ of the retained speech audio file and the global phoneme recognition accuracy v; and g. training a second acoustic model in the automatic speech recognition system with said subset speech corpus.
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12. A computer-implemented method for training acoustic models in an automatic speech recognition system comprising the steps of: a. training a first acoustic model in the automatic speech recognition system using a speech corpus comprising a plurality of speech audio files and a respective plurality of transcriptions for the plurality of speech audio files by calculating a maximum likelihood criterion of the speech corpus and estimating parameters of a probability distribution of said first acoustic model that maximize the maximum likelihood criterion; b. performing a forced Viterbi alignment of the plurality of speech audio files using the trained first acoustic model in the automatic speech recognition system and determining an average frame likelihood score β for each of the plurality of speech audio files; c. calculating a global frame likelihood score δ for the plurality of speech audio files, wherein the global frame likelihood score δ comprises an average of frame likelihoods over the entire corpus; d. performing a phoneme recognition of the plurality of speech audio files using the trained first acoustic model and the plurality of transcriptions in the automatic speech recognition system; e. calculating a phoneme recognition accuracy γ for each of the plurality of speech audio files and a global phoneme recognition accuracy v for the plurality of speech audio files; f. creating a subset speech corpus comprising audio files retained from the plurality of speech audio files which meet at least one predetermined criterion indicating that an audio file has good audio quality, the at least one predetermined criterion comprising at least one criterion selected from the group comprising: a first criterion based on the average frame likelihood score β of the retained speech audio file and the global frame likelihood score δ; and a second criterion based on the phoneme recognition accuracy γ of the retained speech audio file and the global phoneme recognition accuracy v; and g. training a second acoustic model in the automatic speech recognition system with said subset speech corpus. 20. The method of claim 12 , further comprising the step of using the mathematical equation: v = ∑ r = 1 R γ r R to obtain the global phoneme recognition accuracy, wherein γ r represents the phoneme recognition accuracy of a total likelihood score α r of an audio file α r of the plurality of speech audio files.
| 0.523622 |
9. A computer-implemented method comprising: receiving a user selection of a site mode, the site mode being associated with a web application installed on an associated client device; responsive to receiving the site mode selection, requesting a start URL, wherein the start URL is ascertained from a web application file that was created from information received from a website associated with the web application; receiving web resources associated with the start URL; rendering the web resources in a web application window; receiving a user interaction with respect to the resources rendered in the web application window; responsive to the user interaction being within boundaries, associated with a website domain or subdomain and defined by the web application file, rendering user interface customization within the boundaries in the web application window; and responsive to the user interaction not being within boundaries associated with a website domain or subdomain and defined by the web application file, rendering content associated with the user interaction in a default browser different from the web application window.
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9. A computer-implemented method comprising: receiving a user selection of a site mode, the site mode being associated with a web application installed on an associated client device; responsive to receiving the site mode selection, requesting a start URL, wherein the start URL is ascertained from a web application file that was created from information received from a website associated with the web application; receiving web resources associated with the start URL; rendering the web resources in a web application window; receiving a user interaction with respect to the resources rendered in the web application window; responsive to the user interaction being within boundaries, associated with a website domain or subdomain and defined by the web application file, rendering user interface customization within the boundaries in the web application window; and responsive to the user interaction not being within boundaries associated with a website domain or subdomain and defined by the web application file, rendering content associated with the user interaction in a default browser different from the web application window. 11. The method of claim 9 , wherein said rendering is performed by a web application mode browser.
| 0.895349 |
19. A computer system comprising: a processing device; and a computer readable storage medium storing computer readable instructions which, when executed by the processing device, cause the processing device to: receive input data, the input data comprising a first set of linguistic items with known intent labels representing known intents and a second set of linguistic items without known intent labels, the known intent labels being obtained or derived from a knowledge resource that represents the known intents as known relations between entities; determine intents for respective linguistic items in the input data to produce intent output information, the intents being determined based at least on the known intent labels and selection log data, the selection loci data reflecting selections made by users in response to submitting linguistic items with the known intents and with new intents that are not represented by the knowledge resource, the new intents representing new relations between individual entities that are not provided by the known relations of the knowledge resource; store the intent output information in a data store, the intent output information including at least one of the new intents that is discovered using the selection log data; and produce a language understanding model based at least on the intent output information.
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19. A computer system comprising: a processing device; and a computer readable storage medium storing computer readable instructions which, when executed by the processing device, cause the processing device to: receive input data, the input data comprising a first set of linguistic items with known intent labels representing known intents and a second set of linguistic items without known intent labels, the known intent labels being obtained or derived from a knowledge resource that represents the known intents as known relations between entities; determine intents for respective linguistic items in the input data to produce intent output information, the intents being determined based at least on the known intent labels and selection log data, the selection loci data reflecting selections made by users in response to submitting linguistic items with the known intents and with new intents that are not represented by the knowledge resource, the new intents representing new relations between individual entities that are not provided by the known relations of the knowledge resource; store the intent output information in a data store, the intent output information including at least one of the new intents that is discovered using the selection log data; and produce a language understanding model based at least on the intent output information. 20. The computer system of claim 19 , wherein the computer readable instructions, when executed by the processing device, cause the processing device to: produce the language understanding model based at least on the intent output information in combination with labels added by at least one human annotator.
| 0.633349 |
4. The method of claim 1 , further comprising: associating each composite word with a discrete or continuous state in accordance with a dynamic language model, wherein said dynamic language model specifies, given a point in said communication, prior probabilities for each composite word.
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4. The method of claim 1 , further comprising: associating each composite word with a discrete or continuous state in accordance with a dynamic language model, wherein said dynamic language model specifies, given a point in said communication, prior probabilities for each composite word. 5. The method of claim 4 , wherein said dynamic language model affects said posterior probability based on categories found in said communication up to said point.
| 0.858632 |
1. A document processing method for a medical office, comprising: receiving, at a server with a network interface, electronic documents including patient records, office expenses, and government compliance from a medical office, the server including a software application adapted to recognize an expected class of each electronic document; processing the each electronic document received from the medical office based on the recognized class to extract data therefrom; automatically mapping the extracted data from the first processed electronic document to a data repository on the server, the data repository being accessible by the medical office through the network interface; electronically generating at least one of a service and business suggestion on a routine basis to the medical office, the suggestion being directed toward a medical office setting and being based on at least one of the mapped data on the data repository and process maturity indicators, the output data corresponding to at least one of a process simplification and improvement to achieve greater process maturity.
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1. A document processing method for a medical office, comprising: receiving, at a server with a network interface, electronic documents including patient records, office expenses, and government compliance from a medical office, the server including a software application adapted to recognize an expected class of each electronic document; processing the each electronic document received from the medical office based on the recognized class to extract data therefrom; automatically mapping the extracted data from the first processed electronic document to a data repository on the server, the data repository being accessible by the medical office through the network interface; electronically generating at least one of a service and business suggestion on a routine basis to the medical office, the suggestion being directed toward a medical office setting and being based on at least one of the mapped data on the data repository and process maturity indicators, the output data corresponding to at least one of a process simplification and improvement to achieve greater process maturity. 11. A method according to claim 1 , wherein the output data generated includes information corresponding to improving operation of the medical office.
| 0.714158 |
18. The computer program product of claim 17 , wherein the step of counting each occurrence of each item or event in each data entry in the dataset comprises the step of: generating a count array comprising a first column including a plurality of identifiers, each identifier identifying an item or event in the dataset, and a second column comprising a plurality of counts, each count indicating a number of occurrences of an item or event identified by a corresponding identifier.
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18. The computer program product of claim 17 , wherein the step of counting each occurrence of each item or event in each data entry in the dataset comprises the step of: generating a count array comprising a first column including a plurality of identifiers, each identifier identifying an item or event in the dataset, and a second column comprising a plurality of counts, each count indicating a number of occurrences of an item or event identified by a corresponding identifier. 20. The computer program product of claim 18 , wherein the step of generating, for each item or event, a compilation of data entries that include each item or event comprises the step of: generating a vertical representation comprising a column including a plurality of identifiers, each identifier identifying an item or event in the dataset and a list including for each identifier, a bit vector indicating, for each data entry in the dataset, whether the data entry includes the item or event identified by the identifier.
| 0.708364 |
14. The method of claim 5 , wherein the additional information comprises an advertisement.
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14. The method of claim 5 , wherein the additional information comprises an advertisement. 16. The method of claim 14 , wherein the action comprises electronically providing at least one of a coupon or a certificate related to the advertisement.
| 0.94093 |
1. A computer server system coupleable to a network for personalization of network search results and search result rankings, the server system comprising: a network input and output interface for network data transmission and reception, the network input and output interface adapted to receive at least one query from a respondent or co-respondent via the network; to transmit a plurality of return queries to the respondent or co-respondent via the network; to receive a plurality of responses to the return queries from the respondent or co-respondent via the network; and to transmit personalized network search results and search result rankings to the respondent or co-respondent via the network; at least one data storage device storing a plurality of return queries; and one or more processors coupled to the at least one data storage device and network input and output interface, the one or more processors adapted to access the at least one data storage device and using the at least one query, to select the plurality of return queries for transmission; to generate a digital filter from each plurality of responses to the return queries to form a plurality of digital filters; to search the at least one data storage device for corresponding pluralities of responses to the return queries from one or more co-respondents or respondents, respectively; to comparatively pair-wise score the plurality of responses to the return queries against the corresponding pluralities of responses to the return queries using a variance determination or a difference determination to compare a selected combination of respondent and co-respondent digital filters, of the plurality of digital filters, to generate a pair-wise alignment score for the selected respondent and co-respondent combination to form a plurality of pair-wise alignment scores for a plurality of respondent and co-respondent combinations; to sort and rank the plurality of respondent and co-respondent combinations according to the plurality of pair-wise alignment scores; and to output a listing of the sorted and ranked respondents or co-respondents to form the personalized network search results and search result rankings.
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1. A computer server system coupleable to a network for personalization of network search results and search result rankings, the server system comprising: a network input and output interface for network data transmission and reception, the network input and output interface adapted to receive at least one query from a respondent or co-respondent via the network; to transmit a plurality of return queries to the respondent or co-respondent via the network; to receive a plurality of responses to the return queries from the respondent or co-respondent via the network; and to transmit personalized network search results and search result rankings to the respondent or co-respondent via the network; at least one data storage device storing a plurality of return queries; and one or more processors coupled to the at least one data storage device and network input and output interface, the one or more processors adapted to access the at least one data storage device and using the at least one query, to select the plurality of return queries for transmission; to generate a digital filter from each plurality of responses to the return queries to form a plurality of digital filters; to search the at least one data storage device for corresponding pluralities of responses to the return queries from one or more co-respondents or respondents, respectively; to comparatively pair-wise score the plurality of responses to the return queries against the corresponding pluralities of responses to the return queries using a variance determination or a difference determination to compare a selected combination of respondent and co-respondent digital filters, of the plurality of digital filters, to generate a pair-wise alignment score for the selected respondent and co-respondent combination to form a plurality of pair-wise alignment scores for a plurality of respondent and co-respondent combinations; to sort and rank the plurality of respondent and co-respondent combinations according to the plurality of pair-wise alignment scores; and to output a listing of the sorted and ranked respondents or co-respondents to form the personalized network search results and search result rankings. 13. The computer server system of claim 1 , wherein each return query a first plurality of return queries to the respondent is a corollary to each return query of a second plurality of return queries to the co-respondent.
| 0.575112 |
1. A method comprising: partitioning, via a processor, a speech recognizer output into independent clauses; identifying, independent of domain, a dialog act for each of the independent clauses; identifying, dependent on domain, an object within each of the independent clauses; and recursively generating, for each independent clause in the independent clauses, a semantic representation using the dialog act and the object of each independent clause.
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1. A method comprising: partitioning, via a processor, a speech recognizer output into independent clauses; identifying, independent of domain, a dialog act for each of the independent clauses; identifying, dependent on domain, an object within each of the independent clauses; and recursively generating, for each independent clause in the independent clauses, a semantic representation using the dialog act and the object of each independent clause. 6. The method of claim 1 , wherein recursively generating the semantic representation further comprises identifying relationships between the dialog act and the object.
| 0.834638 |
1. A method, comprising: sending, via a SIP device associated with an overriding user, an override signal to a SIP device associated with a first user wherein the first user is having a first dialog with a second user and the override signal includes at least one of a prefix of an address associated with the first user and an appendix of an address associated with the first user; establishing a second dialog between the SIP device associated with the overriding user and the SIP device associated with the first user, wherein the SIP device associated with the first user sends a refer signal with contact information of the overriding user to the SIP device associated with the second user; receiving, via the SIP device associated with the overriding user, an invite signal from a SIP device associated with the second user; establishing a third dialog between the SIP device associated with the overriding user and the SIP device associated with the second user, in response to the invite signal, wherein the first dialog is terminated after the third dialog is established, wherein the second dialog and the third dialog are controlled by the overriding user, and wherein control by the overriding user comprises at least one of: participating in at least one of the second dialog and the third dialog, dropping out of at least one of the second dialog and the third dialog, forcing out at least one of the first user from the second dialog and the second user from the third dialog, and terminating at least of the second dialog and the third dialog.
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1. A method, comprising: sending, via a SIP device associated with an overriding user, an override signal to a SIP device associated with a first user wherein the first user is having a first dialog with a second user and the override signal includes at least one of a prefix of an address associated with the first user and an appendix of an address associated with the first user; establishing a second dialog between the SIP device associated with the overriding user and the SIP device associated with the first user, wherein the SIP device associated with the first user sends a refer signal with contact information of the overriding user to the SIP device associated with the second user; receiving, via the SIP device associated with the overriding user, an invite signal from a SIP device associated with the second user; establishing a third dialog between the SIP device associated with the overriding user and the SIP device associated with the second user, in response to the invite signal, wherein the first dialog is terminated after the third dialog is established, wherein the second dialog and the third dialog are controlled by the overriding user, and wherein control by the overriding user comprises at least one of: participating in at least one of the second dialog and the third dialog, dropping out of at least one of the second dialog and the third dialog, forcing out at least one of the first user from the second dialog and the second user from the third dialog, and terminating at least of the second dialog and the third dialog. 3. The method of claim 1 , wherein the invite signal comprises a message comprising a join header field.
| 0.526154 |
1. A method of collaboratively authoring a data file comprising: identifying at a first authoring application implemented on a first computing device an editing conflict existing between a user copy of the data file and a master copy of the data file; merging the user copy of the data file and the master copy of the data file to generate a merged copy of the data file; displaying the merged copy of the data file to a user of the first authoring application; presenting to the user a toggle interface enabling the user to toggle between displaying the identified editing conflict and hiding the identified editing conflict, the toggle interface being presented when the editing conflict is identified and remaining until the identified editing conflict has been resolved, wherein the merged copy of the data file is freely editable by the user both when the identified editing conflict is displayed and when the identified editing conflict is hidden; and providing a resolution interface configured to present the user copy of the data file including displaying content locks and displaying user content annotated to indicate the identified editing conflict, the resolution interface enabling the user to provide resolution instructions for the identified editing conflict, wherein enabling the user to provide resolution instructions comprises: displaying, on the resolution interface, an accept option and a reject option, the accept option comprising an accept control, the reject option comprising a reject control, the resolution interface being displayed when the identified editing conflict is selected; and enabling the user to select the accept control resulting in accepting the identified editing conflict and the reject control resulting in rejecting the identified editing conflict.
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1. A method of collaboratively authoring a data file comprising: identifying at a first authoring application implemented on a first computing device an editing conflict existing between a user copy of the data file and a master copy of the data file; merging the user copy of the data file and the master copy of the data file to generate a merged copy of the data file; displaying the merged copy of the data file to a user of the first authoring application; presenting to the user a toggle interface enabling the user to toggle between displaying the identified editing conflict and hiding the identified editing conflict, the toggle interface being presented when the editing conflict is identified and remaining until the identified editing conflict has been resolved, wherein the merged copy of the data file is freely editable by the user both when the identified editing conflict is displayed and when the identified editing conflict is hidden; and providing a resolution interface configured to present the user copy of the data file including displaying content locks and displaying user content annotated to indicate the identified editing conflict, the resolution interface enabling the user to provide resolution instructions for the identified editing conflict, wherein enabling the user to provide resolution instructions comprises: displaying, on the resolution interface, an accept option and a reject option, the accept option comprising an accept control, the reject option comprising a reject control, the resolution interface being displayed when the identified editing conflict is selected; and enabling the user to select the accept control resulting in accepting the identified editing conflict and the reject control resulting in rejecting the identified editing conflict. 9. The method of claim 1 , further comprising alerting the user when the editing conflict is identified.
| 0.620281 |
7. The method of claim 1 further comprising providing the fragments in a tree like structure.
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7. The method of claim 1 further comprising providing the fragments in a tree like structure. 8. The method of claim 7 further comprising adding the scores for the different fragments building the list of entries on the basis of the tree like structure of the fragments.
| 0.926127 |
1. A method of identifying type-ahead candidates, comprising: determining a context of a plurality of past non-threaded emails or documents of a user by analyzing the plurality of past non-threaded emails or documents for words or phrases, wherein the plurality of past non-threaded emails or documents are associated with a software application; generating a context index associating the plurality of the past non-threaded emails or documents of the determined context with corresponding repeatable values within the plurality of past non-threaded emails or documents; receiving one or more characters in a current email or document of the software application; determining a context of the current email or document by analyzing the current email or document for current words or phrases in the current email or document, wherein the context of the current email or document corresponds to the context of past non-threaded emails or documents; determining matches between the current words or phrases and words or phrases of the plurality of past non-threaded emails or documents of the context index; identifying, based on the determined matches, one or more of the corresponding repeatable values; matching the identified corresponding repeatable values with the one or more received characters to identify one or more candidate words; and presenting the one or more candidate words to a user on a computer as type-ahead choices for inclusion in the current email or document.
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1. A method of identifying type-ahead candidates, comprising: determining a context of a plurality of past non-threaded emails or documents of a user by analyzing the plurality of past non-threaded emails or documents for words or phrases, wherein the plurality of past non-threaded emails or documents are associated with a software application; generating a context index associating the plurality of the past non-threaded emails or documents of the determined context with corresponding repeatable values within the plurality of past non-threaded emails or documents; receiving one or more characters in a current email or document of the software application; determining a context of the current email or document by analyzing the current email or document for current words or phrases in the current email or document, wherein the context of the current email or document corresponds to the context of past non-threaded emails or documents; determining matches between the current words or phrases and words or phrases of the plurality of past non-threaded emails or documents of the context index; identifying, based on the determined matches, one or more of the corresponding repeatable values; matching the identified corresponding repeatable values with the one or more received characters to identify one or more candidate words; and presenting the one or more candidate words to a user on a computer as type-ahead choices for inclusion in the current email or document. 3. The method of claim 1 , further comprising: creating a preferences profile that defines preferred words or phrases for use in prioritizing the one or more candidate words; and prioritizing the one or more candidate words based on the preferences profile.
| 0.626702 |
13. A system comprising: a processor configured to execute computer program instructions; and a computer storage medium encoded with computer program instructions that, when executed by the processor, cause the system to perform operations comprising: receiving information relating to (i) a communication device that has received an utterance and (ii) a voice associated with the received utterance, the received information relating to the communication device including a geographic location of the communication device; comparing the received voice information with a plurality of voice signatures in a comparison group, the comparison group corresponding to a plurality of different individuals each having an associated address within a geographic region encompassing the geographic location of the commutation device, wherein the comparison group includes at least one voice signature for each different identified individual; attempting to identify the voice associated with the utterance as matching the voice signature corresponding to one of the individuals in the comparison group; if the attempt to identify the voice associated with the utterance is unsuccessful, iteratively repeating the attempting to identify the voice associated with the utterance using a modified comparison group, the modified comparison group corresponding to a different geographic region than was used in a previous attempt to identify the voice associated with the utterance, the iterative repeating of the attempting to identify the voice associated with the utterance continuing until the voice associated with the utterance is successfully identified; and providing the communication device with access to one or more resources associated with the individual whose voice signature matched the voice associated with the utterance.
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13. A system comprising: a processor configured to execute computer program instructions; and a computer storage medium encoded with computer program instructions that, when executed by the processor, cause the system to perform operations comprising: receiving information relating to (i) a communication device that has received an utterance and (ii) a voice associated with the received utterance, the received information relating to the communication device including a geographic location of the communication device; comparing the received voice information with a plurality of voice signatures in a comparison group, the comparison group corresponding to a plurality of different individuals each having an associated address within a geographic region encompassing the geographic location of the commutation device, wherein the comparison group includes at least one voice signature for each different identified individual; attempting to identify the voice associated with the utterance as matching the voice signature corresponding to one of the individuals in the comparison group; if the attempt to identify the voice associated with the utterance is unsuccessful, iteratively repeating the attempting to identify the voice associated with the utterance using a modified comparison group, the modified comparison group corresponding to a different geographic region than was used in a previous attempt to identify the voice associated with the utterance, the iterative repeating of the attempting to identify the voice associated with the utterance continuing until the voice associated with the utterance is successfully identified; and providing the communication device with access to one or more resources associated with the individual whose voice signature matched the voice associated with the utterance. 19. The system of claim 13 wherein providing the communication device with access to one or more resources comprises providing the communication device with access to at least one of personal information and personalized services.
| 0.512027 |
30. The messaging system as recited in claim 28 , wherein user data processor generates multiple visualizations for at least one word of user input data for selection by the user.
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30. The messaging system as recited in claim 28 , wherein user data processor generates multiple visualizations for at least one word of user input data for selection by the user. 31. The messaging system as recited in claim 30 , wherein said user data processor analyzes the cultural context of said user input data by comparing the user input data with stored data from other users in selecting the visualizations to present to the user.
| 0.887483 |
2. The method of claim 1 , wherein the adjusting of the display position of the first text field comprises displaying the focus on the first text field when an entirety of the first text field is being displayed on the first display area according to the adjustment.
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2. The method of claim 1 , wherein the adjusting of the display position of the first text field comprises displaying the focus on the first text field when an entirety of the first text field is being displayed on the first display area according to the adjustment. 3. The method of claim 2 , further comprising: entering text entered through the displayed SIP into the first text field.
| 0.914886 |
8. A computer-implemented method, comprising: executing an application under test in a layout engine module, wherein the application under test comprises one or more instructions in one scripting language, wherein a selected scripting language engine is configured to interpret the one or more instructions in the one scripting language, and wherein the selected scripting language engine is selected using a user interface of testing options; initializing, in the layout engine module, a debugging session for the application under test, wherein the debugging session is configured to generate output data for the application under test, wherein the debugging session is based on a testing option that selects the selected scripting language engine from among a plurality of scripting language engines, and wherein each scripting language engine of the plurality of scripting language engines is configured to interpret the one scripting language; executing a communication module configured to receive at least packed command data associated with the debugging session; and executing an unpack module configured to establish communication between the communication module and the layout engine module at least to provide unpacked command data based on the packed command data to the layout engine module.
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8. A computer-implemented method, comprising: executing an application under test in a layout engine module, wherein the application under test comprises one or more instructions in one scripting language, wherein a selected scripting language engine is configured to interpret the one or more instructions in the one scripting language, and wherein the selected scripting language engine is selected using a user interface of testing options; initializing, in the layout engine module, a debugging session for the application under test, wherein the debugging session is configured to generate output data for the application under test, wherein the debugging session is based on a testing option that selects the selected scripting language engine from among a plurality of scripting language engines, and wherein each scripting language engine of the plurality of scripting language engines is configured to interpret the one scripting language; executing a communication module configured to receive at least packed command data associated with the debugging session; and executing an unpack module configured to establish communication between the communication module and the layout engine module at least to provide unpacked command data based on the packed command data to the layout engine module. 9. The method of claim 8 , further comprising sending the output data received from the layout engine module using the connection.
| 0.603629 |
12. A method comprising the steps of: requesting an appraisal of a property via an appraisal system, wherein the appraisal system includes a collector system, an appraisal database, an accounting system, and a scoring system; using the collector system to search for at least one of data and files related to the property; searching the appraisal database for at least one of data and files related to the property; creating an accounting invoice related to the property via the accounting system; analyzing at least one of the data, files, and accounting invoice via the scoring system to generate at least one of a score, a zone, and a market group; wherein the scoring system calculates the score for each property within the market group and the market group includes a plurality of properties wherein the scoring system generates a value trend line for the market group by calculating the mean average of the scores for the plurality of properties in the market group, wherein the scoring system calculates a normalized value of the scores to be within a predetermined amount of the value trend line, wherein the scoring system reconciles a plurality of sales in the market group by comparing the scores for a predetermined period of time to the normalized value of the scores for the market group, and wherein the scoring system adjusts the value trend line against the normalized value of the scores in order to adjust the score associated with the property; and preparing an appraisal report associated with the property instantly or within a predetermined period of time based on at least one of the score, the zone, and the market group.
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12. A method comprising the steps of: requesting an appraisal of a property via an appraisal system, wherein the appraisal system includes a collector system, an appraisal database, an accounting system, and a scoring system; using the collector system to search for at least one of data and files related to the property; searching the appraisal database for at least one of data and files related to the property; creating an accounting invoice related to the property via the accounting system; analyzing at least one of the data, files, and accounting invoice via the scoring system to generate at least one of a score, a zone, and a market group; wherein the scoring system calculates the score for each property within the market group and the market group includes a plurality of properties wherein the scoring system generates a value trend line for the market group by calculating the mean average of the scores for the plurality of properties in the market group, wherein the scoring system calculates a normalized value of the scores to be within a predetermined amount of the value trend line, wherein the scoring system reconciles a plurality of sales in the market group by comparing the scores for a predetermined period of time to the normalized value of the scores for the market group, and wherein the scoring system adjusts the value trend line against the normalized value of the scores in order to adjust the score associated with the property; and preparing an appraisal report associated with the property instantly or within a predetermined period of time based on at least one of the score, the zone, and the market group. 14. The method of claim 12 further comprising at least one of: accessing the collector system to at least one of add, edit, review, and verify data including photographs associated with the property; at least one of viewing, reviewing, adding, editing, and verifying property data including photographs via a portable communication device; and accessing the collector system to at least one of add, edit, review, and verify the appraisal report associated with the property.
| 0.5 |
14. The system in accordance with claim 10 , wherein the role generator operates in a business application.
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14. The system in accordance with claim 10 , wherein the role generator operates in a business application. 15. The system in accordance with claim 14 , wherein the business application is a project management application.
| 0.975459 |
11. The method of claim 1 , further comprising: crawling the remote sources; identifying program content based on one or more completed search requests; and acquiring one or more programs based on the identified program content, wherein the acquired programs are stored in an aggregator database.
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11. The method of claim 1 , further comprising: crawling the remote sources; identifying program content based on one or more completed search requests; and acquiring one or more programs based on the identified program content, wherein the acquired programs are stored in an aggregator database. 12. The method of claim 11 , wherein identifying program content further comprises using user profile information.
| 0.9375 |
1. An apparatus for using information in the form of passively collected emotional responses to a media presentation that is made to one or more individuals, comprising: a media presentation perceivably exhibited to at least one individual having a profile; a detector for passively capturing emotional responses of said at least one individual to said media presentation during exhibition of said media presentation; a processor for producing a correlation that reflects a relationship between said at least one individual's emotional responses and at least one portion of said media presentation which contained stimuli that elicited said emotional responses; said processor identifying at least one group having a profile that is similar to the profile of said at least one individual; wherein at least one or more of said portions of said media presentation is perceivably exhibited to said group; wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are selected based upon said correlation between said at least one individual's emotional responses and at least one portion of said media presentation that contained stimuli that elicited said emotional response; and wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are presented to said group with some assurance of a positive reception by said group.
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1. An apparatus for using information in the form of passively collected emotional responses to a media presentation that is made to one or more individuals, comprising: a media presentation perceivably exhibited to at least one individual having a profile; a detector for passively capturing emotional responses of said at least one individual to said media presentation during exhibition of said media presentation; a processor for producing a correlation that reflects a relationship between said at least one individual's emotional responses and at least one portion of said media presentation which contained stimuli that elicited said emotional responses; said processor identifying at least one group having a profile that is similar to the profile of said at least one individual; wherein at least one or more of said portions of said media presentation is perceivably exhibited to said group; wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are selected based upon said correlation between said at least one individual's emotional responses and at least one portion of said media presentation that contained stimuli that elicited said emotional response; and wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are presented to said group with some assurance of a positive reception by said group. 8. The apparatus of claim 1 , said processor adapted to use said emotional responses to said media presentation to identify appropriate and, conversely, inappropriate parts of expression in connection with said media presentation.
| 0.669639 |
18. The computer-readable medium of claim 16 , the acts further comprising: receiving the query from a client computing device; and responsive to receiving the query, selecting the segment-specific ranker for ranking search results based upon the query.
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18. The computer-readable medium of claim 16 , the acts further comprising: receiving the query from a client computing device; and responsive to receiving the query, selecting the segment-specific ranker for ranking search results based upon the query. 20. The computer-readable medium of claim 18 , wherein the plurality of possible rankers include a general purpose ranker.
| 0.932636 |
13. A computer-readable memory storing a set of instructions which, when executed by a processor, causes the processor to perform static analysis of one or more query expressions embedded in programming language source code by: extracting the one or more query expressions from the programming language source code, wherein extracting the one or more query expressions and performing the static analysis comprises reading the source code in which the one or more query expressions are embedded, parsing the source code in which the one or more query expressions are embedded, extracting query expression code for the one or more query expressions from the parsed source code, creating a procedure from the extracted query expression code, and compiling the created procedure; performing the static analysis on the extracted one or more query expressions, wherein performing the static analysis further comprises detecting a collision between triggers in the extracted one or more query expressions based on said analyzing and applying one or more user defined rules to the created procedure, the one or more user defined rules defining guidelines and conventions for the query expressions and in response to any of the extracted one or more query expressions violating the one or more user defined rules, generating an error or warning; and reporting results of performing the static analysis on the one or more query expressions, wherein the results relate errors and warning generated by performing the static analysis to the source code from which the one or more query expressions are extracted.
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13. A computer-readable memory storing a set of instructions which, when executed by a processor, causes the processor to perform static analysis of one or more query expressions embedded in programming language source code by: extracting the one or more query expressions from the programming language source code, wherein extracting the one or more query expressions and performing the static analysis comprises reading the source code in which the one or more query expressions are embedded, parsing the source code in which the one or more query expressions are embedded, extracting query expression code for the one or more query expressions from the parsed source code, creating a procedure from the extracted query expression code, and compiling the created procedure; performing the static analysis on the extracted one or more query expressions, wherein performing the static analysis further comprises detecting a collision between triggers in the extracted one or more query expressions based on said analyzing and applying one or more user defined rules to the created procedure, the one or more user defined rules defining guidelines and conventions for the query expressions and in response to any of the extracted one or more query expressions violating the one or more user defined rules, generating an error or warning; and reporting results of performing the static analysis on the one or more query expressions, wherein the results relate errors and warning generated by performing the static analysis to the source code from which the one or more query expressions are extracted. 14. The computer-readable memory of claim 13 , wherein reporting the results of performing the static analysis on the one or more query expressions comprises: receiving one or more errors or warnings from compiling the created procedure; categorizing the received one or more errors or warnings; mapping the categorized errors or warnings to the source code from which the one or more query expressions were extracted; and generating a report of the categorized and mapped one or more errors or warnings.
| 0.512565 |
10. A computer-readable storage medium that stores instructions configured to cause a computing device to: determine a first plurality of symbols associated with a first XML file, wherein the first plurality of symbols comprises symbols that indicate a first plurality of data elements of the first XML file and a hierarchical arrangement of the first plurality of data elements of the first XML file, and wherein each symbol of the first plurality of symbols indicates a particular data element of the first plurality of data elements and further indicates a direction to arrive at the particular data element of the first plurality of data elements in a particular level of the first hierarchical arrangement; determine a second plurality symbols associated with a second XML document, wherein the second plurality of symbols comprises symbols that indicate a second plurality of data elements of the second XML file and a hierarchical arrangement of the second plurality of data elements of the second XML file, and wherein each symbol of the second plurality of symbols indicates a particular data element of the second plurality of data elements and further indicates a direction to arrive at the particular data element of the second plurality of data elements in a particular level of the second hierarchical arrangement; compare the first plurality of symbols with the second plurality of symbols; determine, based on the comparing, a first edit transcript that comprises a first plurality of operational changes that may be applied to at least one of the first plurality of symbols or the second plurality of symbols to arrive at the other of the first plurality of symbols or the second plurality of symbols; determine, based on the comparing, a second edit transcript that comprises a second plurality of operational changes that may be applied to at least one of the first plurality of symbols or the second plurality of symbols to arrive at the other of the first plurality of symbols or the second plurality of symbols; and select one of the first edit transcript or the second edit transcript as an optimal edit transcript based on whether the first number of operational changes is less than the second number of operational changes.
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10. A computer-readable storage medium that stores instructions configured to cause a computing device to: determine a first plurality of symbols associated with a first XML file, wherein the first plurality of symbols comprises symbols that indicate a first plurality of data elements of the first XML file and a hierarchical arrangement of the first plurality of data elements of the first XML file, and wherein each symbol of the first plurality of symbols indicates a particular data element of the first plurality of data elements and further indicates a direction to arrive at the particular data element of the first plurality of data elements in a particular level of the first hierarchical arrangement; determine a second plurality symbols associated with a second XML document, wherein the second plurality of symbols comprises symbols that indicate a second plurality of data elements of the second XML file and a hierarchical arrangement of the second plurality of data elements of the second XML file, and wherein each symbol of the second plurality of symbols indicates a particular data element of the second plurality of data elements and further indicates a direction to arrive at the particular data element of the second plurality of data elements in a particular level of the second hierarchical arrangement; compare the first plurality of symbols with the second plurality of symbols; determine, based on the comparing, a first edit transcript that comprises a first plurality of operational changes that may be applied to at least one of the first plurality of symbols or the second plurality of symbols to arrive at the other of the first plurality of symbols or the second plurality of symbols; determine, based on the comparing, a second edit transcript that comprises a second plurality of operational changes that may be applied to at least one of the first plurality of symbols or the second plurality of symbols to arrive at the other of the first plurality of symbols or the second plurality of symbols; and select one of the first edit transcript or the second edit transcript as an optimal edit transcript based on whether the first number of operational changes is less than the second number of operational changes. 17. The computer-readable storage medium of claim 10 , wherein the instructions further cause the computing device to: generate a first vector comprising the first plurality of symbols by serializing a first plurality of hierarchically arranged data elements of the first XML file; and generate a second vector comprising the second plurality of symbols by serializing a second plurality of hierarchically arranged data elements of the second XML file.
| 0.55037 |
1. A computer-implemented document search method comprising, by execution of program instructions by a computer system that comprises one or more computing devices: in response to receiving a query including first and second lists of query terms, logically combining terms from the first and second lists to form document search sub-queries, each sub-query comprising at least one term from the first list and at least one term from the second list; searching a data store by executing the sub-queries such that at least two of the document search sub-queries are executed in parallel, to identify responsive documents; obtaining results from executing the document search sub-queries, the results including location information identifying the location of any of the terms from the first and second lists in the responsive documents; combining the results from all sub-queries to form a single query result that includes the location information; and returning the query result.
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1. A computer-implemented document search method comprising, by execution of program instructions by a computer system that comprises one or more computing devices: in response to receiving a query including first and second lists of query terms, logically combining terms from the first and second lists to form document search sub-queries, each sub-query comprising at least one term from the first list and at least one term from the second list; searching a data store by executing the sub-queries such that at least two of the document search sub-queries are executed in parallel, to identify responsive documents; obtaining results from executing the document search sub-queries, the results including location information identifying the location of any of the terms from the first and second lists in the responsive documents; combining the results from all sub-queries to form a single query result that includes the location information; and returning the query result. 11. The method of claim 1 , further comprising removing duplications from the single query result.
| 0.64622 |
11. Apparatus as claimed in claim 1 , wherein said translation control circuitry includes one or more control registers to store disable flags to control disabling of address translations for respective given types of memory access transaction.
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11. Apparatus as claimed in claim 1 , wherein said translation control circuitry includes one or more control registers to store disable flags to control disabling of address translations for respective given types of memory access transaction. 12. Apparatus as claimed in claim 11 , wherein said disable flag are set under software control.
| 0.971917 |
15. One or more non-transitory computer-readable media storing one or more sequences of instructions which, when executed by one or more processors, cause a computing device to perform a method comprising: displaying a first timeline for a first animation object; displaying a second timeline for a second animation object; displaying a first identifier of the first animation object in association with the first timeline; displaying a second identifier of the second animation object in association with the second timeline; wherein the first identifier and the second identifier are displayed with respect to each other in an order that determines a z-index order of the first animation object with respect to the second animation object in a style sheet animation of at least the first animation object and the second animation object; generating style sheet language text which, when processed by a style sheet animation processor, causes the first animation object and the second animation object to be animated in the style sheet animation in accordance with the determined z-index order.
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15. One or more non-transitory computer-readable media storing one or more sequences of instructions which, when executed by one or more processors, cause a computing device to perform a method comprising: displaying a first timeline for a first animation object; displaying a second timeline for a second animation object; displaying a first identifier of the first animation object in association with the first timeline; displaying a second identifier of the second animation object in association with the second timeline; wherein the first identifier and the second identifier are displayed with respect to each other in an order that determines a z-index order of the first animation object with respect to the second animation object in a style sheet animation of at least the first animation object and the second animation object; generating style sheet language text which, when processed by a style sheet animation processor, causes the first animation object and the second animation object to be animated in the style sheet animation in accordance with the determined z-index order. 22. The one or more non-transitory computer-readable media of claim 15 , wherein displaying the first identifier in association with the first timeline includes displaying the first identifier and the first timeline in a first row; and wherein displaying the second identifier in association with the second timeline includes displaying the second identifier and the second timeline in a second row.
| 0.670779 |
24. A computerized method for automatically identifying special characters that delineate outline-type formatting of paragraphs and inserting hanging indents, said method comprising the steps of: retrieving words on a line; identifying a bullet character; determining a left boundary and a right boundary of the bullet character; determining a left boundary of a first word to the right of the bullet character; comparing the left boundary of the bullet character to leftmost boundaries of other words on preceding lines of a previous paragraph; and setting an outline level based on the comparing step and a position for the hanging indent at the left boundary of the first word.
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24. A computerized method for automatically identifying special characters that delineate outline-type formatting of paragraphs and inserting hanging indents, said method comprising the steps of: retrieving words on a line; identifying a bullet character; determining a left boundary and a right boundary of the bullet character; determining a left boundary of a first word to the right of the bullet character; comparing the left boundary of the bullet character to leftmost boundaries of other words on preceding lines of a previous paragraph; and setting an outline level based on the comparing step and a position for the hanging indent at the left boundary of the first word. 25. The computerized method of claim 24 further comprising the steps of: storing the left and right boundaries of the bullet character and the left boundary of the first word; and repeating the steps of retrieving, identifying, determining the left boundary and right boundary, determining the left boundary of the first word, comparing, setting, and storing for each additional line of words.
| 0.80893 |
1. A method for comparing documents, comprising: repeatedly identifying sets of matching elements and associated locations of the matching elements in a first document and a second document until there are no further matches; determining instances of unchanged elements between the first and second documents; determining instances of moved elements between the first and second documents, wherein the determination of the instances of moved elements is based on a relative location difference of the identified matching elements in the first and second documents; assigning identifiers to instances of the set of matching elements, wherein the identifiers identify a relationship for the corresponding instances of the set of matching elements, and wherein assigning the identifiers comprises: assigning an identifier indicating unchanged elements to instances of the set of matching elements in the second document when the associated location of the set of matching elements is the same for both the first document and the second document, and assigning an identifier indicating moved elements to instances of the set of matching elements when the associated location of the set of matching elements is different for both the first document and the second document, and displaying the first document and the second document with context information based on those portions of the second document that are associated with the identifier indicating unchanged elements, the identifier indicating moved elements, or both.
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1. A method for comparing documents, comprising: repeatedly identifying sets of matching elements and associated locations of the matching elements in a first document and a second document until there are no further matches; determining instances of unchanged elements between the first and second documents; determining instances of moved elements between the first and second documents, wherein the determination of the instances of moved elements is based on a relative location difference of the identified matching elements in the first and second documents; assigning identifiers to instances of the set of matching elements, wherein the identifiers identify a relationship for the corresponding instances of the set of matching elements, and wherein assigning the identifiers comprises: assigning an identifier indicating unchanged elements to instances of the set of matching elements in the second document when the associated location of the set of matching elements is the same for both the first document and the second document, and assigning an identifier indicating moved elements to instances of the set of matching elements when the associated location of the set of matching elements is different for both the first document and the second document, and displaying the first document and the second document with context information based on those portions of the second document that are associated with the identifier indicating unchanged elements, the identifier indicating moved elements, or both. 9. The method of claim 1 , wherein a time stamp associated with a modification of the second document is later than a time stamp associated with a modification of the first document.
| 0.601112 |
4. The method of claim 3 , further comprising the steps of: connecting to the user at the selected hour over the internet-enabled global communications network; connecting to the provider at the selected hour over the internet-enabled global communications network; connecting to the third party at the selected hour over the internet-enabled global communications network; and allowing the user, the provider, and the third party to communicate.
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4. The method of claim 3 , further comprising the steps of: connecting to the user at the selected hour over the internet-enabled global communications network; connecting to the provider at the selected hour over the internet-enabled global communications network; connecting to the third party at the selected hour over the internet-enabled global communications network; and allowing the user, the provider, and the third party to communicate. 5. The method of claim 4 , further comprising the steps of: recording the communication between the user, the provider, and the third party; and storing the communication.
| 0.947234 |
1. A computer-based method of debugging a debuggee computer program after an execution of at least a portion of the debuggee program, comprising: a) receiving a call graph having a plurality of nodes, each node representing a corresponding event that occurred during the debuggee program execution, the nodes ordered based on the debuggee program execution, including a first node representing a first event corresponding to a first machine address and corresponding to a source language statement and a second node representing a second event corresponding to a second machine address and corresponding to the source language statement; b) selectively clustering together the first node and the second node based on a comparison of the first machine address and the second machine address; and c) in response to a command to perform a step operation, selectively performing the step operation to include the first node and the second node, based on whether the first node and the second node are clustered.
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1. A computer-based method of debugging a debuggee computer program after an execution of at least a portion of the debuggee program, comprising: a) receiving a call graph having a plurality of nodes, each node representing a corresponding event that occurred during the debuggee program execution, the nodes ordered based on the debuggee program execution, including a first node representing a first event corresponding to a first machine address and corresponding to a source language statement and a second node representing a second event corresponding to a second machine address and corresponding to the source language statement; b) selectively clustering together the first node and the second node based on a comparison of the first machine address and the second machine address; and c) in response to a command to perform a step operation, selectively performing the step operation to include the first node and the second node, based on whether the first node and the second node are clustered. 2. The computer-based method of claim 1 , receiving the call graph comprises in response to receiving a command to perform a step operation, retrieving a portion of the call graph including nodes proximate to a current node.
| 0.777163 |
8. A dynamic data acquiring system, comprising: at least one processor configured to: extract a search term from a search request string that is received; look up the search term in a threshold value dictionary to acquire a dynamic threshold score corresponding to the search term, wherein the dynamic threshold score varies based on characteristic factors, wherein the characteristic factors include a textual characteristic factor for the search term and a data analysis characteristic factor for the search term, the textual characteristic factor and the data analysis characteristic factor being stored in a log dictionary; and wherein the dynamic threshold score relates to a correlation of the search term and a product, wherein the dynamic threshold score is calculated by: performing a first fitting calculation based on the textual characteristic factor for the search term to obtain a first threshold score; performing a second fitting calculation based on the data analysis characteristic factor for the search term to obtain a second threshold score; and performing a third fitting calculation based on the first threshold score and the second threshold score to obtain the dynamic threshold score; detect a change in the characteristic factors, comprising to: update the dynamic threshold score based on the changed characteristic factors; and store the updated dynamic threshold score in the threshold value dictionary; use the search term as a query condition and the updated dynamic threshold score corresponding to the search term as a filter condition to acquire, in an index data table, one or more corresponding pieces of index information; acquire data information corresponding to the search term based on the index information in the index data table; and send the data information to be displayed in a page of a web site; and a memory coupled to the at least one processor and configured to provide the at least one processor with instructions.
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8. A dynamic data acquiring system, comprising: at least one processor configured to: extract a search term from a search request string that is received; look up the search term in a threshold value dictionary to acquire a dynamic threshold score corresponding to the search term, wherein the dynamic threshold score varies based on characteristic factors, wherein the characteristic factors include a textual characteristic factor for the search term and a data analysis characteristic factor for the search term, the textual characteristic factor and the data analysis characteristic factor being stored in a log dictionary; and wherein the dynamic threshold score relates to a correlation of the search term and a product, wherein the dynamic threshold score is calculated by: performing a first fitting calculation based on the textual characteristic factor for the search term to obtain a first threshold score; performing a second fitting calculation based on the data analysis characteristic factor for the search term to obtain a second threshold score; and performing a third fitting calculation based on the first threshold score and the second threshold score to obtain the dynamic threshold score; detect a change in the characteristic factors, comprising to: update the dynamic threshold score based on the changed characteristic factors; and store the updated dynamic threshold score in the threshold value dictionary; use the search term as a query condition and the updated dynamic threshold score corresponding to the search term as a filter condition to acquire, in an index data table, one or more corresponding pieces of index information; acquire data information corresponding to the search term based on the index information in the index data table; and send the data information to be displayed in a page of a web site; and a memory coupled to the at least one processor and configured to provide the at least one processor with instructions. 12. The system as described in claim 8 , wherein the at least one processor is further configured to: establish the threshold value dictionary, including: perform a threshold value calculation based on the textual characteristic factor and the data analysis characteristic factor to acquire a dynamic threshold score for each search term; and save the search term and the dynamic threshold score of each search term in a data dictionary format to the threshold value dictionary, wherein: the textual characteristic factor is a characteristic weight matched to the search term and the data information; and the data analysis characteristic factor is an analytic parameter characteristic weight corresponding to the search term.
| 0.561465 |
27. A method performed by one or more server devices, the method comprising: determining, by one or more processors of the one or more server devices, that a document in a set of ranked documents requests personal or private information from a user, where documents in the set of ranked documents that are well known are ranked higher than documents that are not well known; identifying, by one or more processors of the one or more server devices, the document as being suspect based on whether the document requests personal or private information from the user; analyzing, by one or more processors of the one or more server devices, data or attributes associated with the suspect document, where analyzing data or attributes associated with the suspect document includes analyzing a ranking of the suspect document relative to rankings of other documents in the set of ranked documents; assigning, by one or more processors of the one or more server devices, a fraud score, based on analyzing the data or attributes, to the suspect document; comparing, by one or more processors of the one or more server devices, the fraud score to a first threshold and to a second different threshold; determining, by one or more processors of the one or more server devices, that the suspect document is trustworthy when the fraud score does not pass the first threshold; determining, by one or more processors of the one or more server devices, that the suspect document is untrustworthy when the fraud score passes the second different threshold; obtaining, by one or more processors of the one or more server devices, a determination of trustworthiness from the user when the fraud score is between the first threshold and the second different threshold; and storing an identifier for a document, the fraud score, and a result representing a trustworthiness of the suspect document in a memory associated with the one or more server devices.
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27. A method performed by one or more server devices, the method comprising: determining, by one or more processors of the one or more server devices, that a document in a set of ranked documents requests personal or private information from a user, where documents in the set of ranked documents that are well known are ranked higher than documents that are not well known; identifying, by one or more processors of the one or more server devices, the document as being suspect based on whether the document requests personal or private information from the user; analyzing, by one or more processors of the one or more server devices, data or attributes associated with the suspect document, where analyzing data or attributes associated with the suspect document includes analyzing a ranking of the suspect document relative to rankings of other documents in the set of ranked documents; assigning, by one or more processors of the one or more server devices, a fraud score, based on analyzing the data or attributes, to the suspect document; comparing, by one or more processors of the one or more server devices, the fraud score to a first threshold and to a second different threshold; determining, by one or more processors of the one or more server devices, that the suspect document is trustworthy when the fraud score does not pass the first threshold; determining, by one or more processors of the one or more server devices, that the suspect document is untrustworthy when the fraud score passes the second different threshold; obtaining, by one or more processors of the one or more server devices, a determination of trustworthiness from the user when the fraud score is between the first threshold and the second different threshold; and storing an identifier for a document, the fraud score, and a result representing a trustworthiness of the suspect document in a memory associated with the one or more server devices. 40. The method of claim 27 , where analyzing data or attributes associated with the suspect document further comprises: analyzing a content of the suspect document for code used to deceive users.
| 0.741805 |
1. A computer implemented method for evaluating performances of generative models, comprising: receiving observations associated with observable variables of a first generative model and a second generative model, each of the first and second generative models having information about causal relationships among hidden and observable variables; using at least one computer, for each observation, applying the first model to the observation to produce a first assessment of the observation, applying the second model to the observation to produce a second assessment of the observation, and determining a similarity score between the first and second assessments; and outputting a subset of the observations, each corresponding to first and second assessments, having a similarity score within a predetermined range.
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1. A computer implemented method for evaluating performances of generative models, comprising: receiving observations associated with observable variables of a first generative model and a second generative model, each of the first and second generative models having information about causal relationships among hidden and observable variables; using at least one computer, for each observation, applying the first model to the observation to produce a first assessment of the observation, applying the second model to the observation to produce a second assessment of the observation, and determining a similarity score between the first and second assessments; and outputting a subset of the observations, each corresponding to first and second assessments, having a similarity score within a predetermined range. 2. The method of claim 1 in which the observable variables are represented as terminal nodes, and the hidden variables are represented as cluster nodes.
| 0.735636 |
1. A method, including: receiving, by a hardware computer processor, context data indicative of a category of offerings in a provider, the context data associated with a user having a user identifier; automatically discovering context attributes associated with the context, by processing attribute data received from a plurality of other users, the attribute data being related to a category of the offerings; associating the context data and the context attributes with the user identifier; and generating result data that is associated with the context and relevant to the user.
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1. A method, including: receiving, by a hardware computer processor, context data indicative of a category of offerings in a provider, the context data associated with a user having a user identifier; automatically discovering context attributes associated with the context, by processing attribute data received from a plurality of other users, the attribute data being related to a category of the offerings; associating the context data and the context attributes with the user identifier; and generating result data that is associated with the context and relevant to the user. 3. The method of claim 1 wherein the result data associated with the context includes at least one from a group including a review list, a recommendation list, research from other users, research from the user, a seller list, and a buyer list.
| 0.656338 |
1. A computer-implemented method for generating specialty imaging effects from layered documents, comprising: providing a layered document to computer memory, the layered document comprising at least one page including: at least one layer designated as an effect layer, and at least one layer designated as a visual layer; for the at least one page of the layered document, identifying the at least one visual layer; for each of the at least one identified visual layers: identifying at least one visual graphical element within the at least one identified visual layer; and for each of the at least one identified visual graphical element in a visual layer: (i) using a computer processor, identifying, as a next effect layer, a closest effect layer above the visual layer which includes an effect graphical element that overlaps, at least in part, the at least one identified visual graphical element; (ii) cropping the effect graphical element that overlaps to more closely match a size and a location of the identified visual graphical element; (iii) creating a new graphical element by merging at least part of the identified visual graphical element with at least part of the overlapping effect graphical element of the identified next effect layer, such that the resulting new graphical element is printable by a printer configured to print both the visual graphical element and the effect graphical element; and (iv) transforming the input layered document to form a transformed document by replacing the identified visual graphical element on the visual layer with the new graphical element; and outputting the transformed document.
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1. A computer-implemented method for generating specialty imaging effects from layered documents, comprising: providing a layered document to computer memory, the layered document comprising at least one page including: at least one layer designated as an effect layer, and at least one layer designated as a visual layer; for the at least one page of the layered document, identifying the at least one visual layer; for each of the at least one identified visual layers: identifying at least one visual graphical element within the at least one identified visual layer; and for each of the at least one identified visual graphical element in a visual layer: (i) using a computer processor, identifying, as a next effect layer, a closest effect layer above the visual layer which includes an effect graphical element that overlaps, at least in part, the at least one identified visual graphical element; (ii) cropping the effect graphical element that overlaps to more closely match a size and a location of the identified visual graphical element; (iii) creating a new graphical element by merging at least part of the identified visual graphical element with at least part of the overlapping effect graphical element of the identified next effect layer, such that the resulting new graphical element is printable by a printer configured to print both the visual graphical element and the effect graphical element; and (iv) transforming the input layered document to form a transformed document by replacing the identified visual graphical element on the visual layer with the new graphical element; and outputting the transformed document. 12. The method of claim 1 wherein the document page comprises at least two effect layers.
| 0.689368 |
1. A method of automatically extracting a validity period of a driving license, the method comprising: receiving an image file of a vehicle driving license; extracting candidate contour regions from within the image file according to a contour extraction rule, and selecting from among the extracted candidate contour regions at least one candidate contour region containing an annual inspection validity period; extracting all character contours from within each selected candidate contour region; acquiring a smallest circumscribed rectangle of each character contour in the selected candidate contour region, and dividing image blocks bound by the acquired smallest circumscribed rectangles one by one into individual single-character blocks; sorting these single-character blocks according to their respective positions in the selected candidate contour region; recognizing a corresponding character of each single-character block; generating a character string representing the annual inspection validity period using the recognized characters based on the sorting; and extracting time data in the character string and taking the time data as the annual inspection validity period of the selected candidate contour region.
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1. A method of automatically extracting a validity period of a driving license, the method comprising: receiving an image file of a vehicle driving license; extracting candidate contour regions from within the image file according to a contour extraction rule, and selecting from among the extracted candidate contour regions at least one candidate contour region containing an annual inspection validity period; extracting all character contours from within each selected candidate contour region; acquiring a smallest circumscribed rectangle of each character contour in the selected candidate contour region, and dividing image blocks bound by the acquired smallest circumscribed rectangles one by one into individual single-character blocks; sorting these single-character blocks according to their respective positions in the selected candidate contour region; recognizing a corresponding character of each single-character block; generating a character string representing the annual inspection validity period using the recognized characters based on the sorting; and extracting time data in the character string and taking the time data as the annual inspection validity period of the selected candidate contour region. 3. The method of claim 1 , wherein the extracting all the character contours from within each selected candidate contour region comprises: converting each selected candidate contour region to a single-channel grayscale image; binarizing the grayscale image using Otsu's threshold method to obtain a binary image; calling a contour extraction function to extract all the contours in the binary image; singling out the contours each having a preset height and a preset width; analyzing whether the number of the contours singled out is equal to a preset number; and incrementing or decrementing the preset height and/or preset width by a preset amplitude if the number of the contours singled out is unequal to the preset number, and returning to singling out the contours each having a preset height and a preset width.
| 0.564829 |
8. A non-transitory computer readable storage medium having embodied thereon a program executable by a processor for performing a method for a providing a document electronically to one or more readers for review, the method comprising: receiving one or more reader settings set by an author over a user interface displayed at a computing device, wherein at least one of the reader settings specifies that at least a portion of an uploaded electronic book is to be encrypted; encrypting the specified portion of the uploaded electronic book in accordance with an encryption key; transmitting the encrypted portion of the electronic book over a network interface at the computing device to at least one reader device, wherein decryption of the encrypted portion by the reader device requires a decryption key corresponding to the encryption key; receiving eye tracking data collected by at least one sensor at the reader device after the decrypted portion is displayed at the reader device; identifying that the received eye tracking data indicates a plurality of focal points directed at a subset of content within the display of the transmitted portion at the reader device; receiving feedback data from the reader device in association with the subset of content; and generating a display of the electronic book at the computing device, wherein the generated display further includes the feedback data and indicates the focal points in association with the subset of content.
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8. A non-transitory computer readable storage medium having embodied thereon a program executable by a processor for performing a method for a providing a document electronically to one or more readers for review, the method comprising: receiving one or more reader settings set by an author over a user interface displayed at a computing device, wherein at least one of the reader settings specifies that at least a portion of an uploaded electronic book is to be encrypted; encrypting the specified portion of the uploaded electronic book in accordance with an encryption key; transmitting the encrypted portion of the electronic book over a network interface at the computing device to at least one reader device, wherein decryption of the encrypted portion by the reader device requires a decryption key corresponding to the encryption key; receiving eye tracking data collected by at least one sensor at the reader device after the decrypted portion is displayed at the reader device; identifying that the received eye tracking data indicates a plurality of focal points directed at a subset of content within the display of the transmitted portion at the reader device; receiving feedback data from the reader device in association with the subset of content; and generating a display of the electronic book at the computing device, wherein the generated display further includes the feedback data and indicates the focal points in association with the subset of content. 13. The non-transitory computer readable storage medium of claim 8 , wherein the program further comprises instructions executable to: receive modifications to the portion of the electronic book over the user interface at the computing device; and transmit at least the received modifications to the portion of the electronic book over the network interface at the computing device.
| 0.505837 |
5. The method of claim 1 , wherein the search query is processed by a device operated by said user.
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5. The method of claim 1 , wherein the search query is processed by a device operated by said user. 8. The method of claim 5 , wherein the device is a remote control device for a television.
| 0.980489 |
18. A talking electronic apparatus comprising: memory means for storing digital speech data and digital control data from which a plurality of requests in synthesized human speech for respective operator responses and appropriate operator responses corresponding to said plurality of requests may be respectively derived, speech synthesizer means operably associated with said memory means for converting said digital speech data into audible human speech, means for selectively transferring said digital speech data to said speech synthesizer means to produce a selected audible request in human speech, operator input means for receiving an operator response to said selected audible request, and means responsive to said digital control data and said operator response to said selected audible request for responding in a manner producing an output indicative of the appropriateness of said operator response with respect to the appropriate operator response corresponding to said selected audible request.
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18. A talking electronic apparatus comprising: memory means for storing digital speech data and digital control data from which a plurality of requests in synthesized human speech for respective operator responses and appropriate operator responses corresponding to said plurality of requests may be respectively derived, speech synthesizer means operably associated with said memory means for converting said digital speech data into audible human speech, means for selectively transferring said digital speech data to said speech synthesizer means to produce a selected audible request in human speech, operator input means for receiving an operator response to said selected audible request, and means responsive to said digital control data and said operator response to said selected audible request for responding in a manner producing an output indicative of the appropriateness of said operator response with respect to the appropriate operator response corresponding to said selected audible request. 22. A talking electronic apparatus according to claim 18, further including battery receiving means for holding a battery power source to provide electrical power to said apparatus.
| 0.798155 |
7. The computer-implemented method of claim 2 , wherein the plurality of media items defines a review subset of a larger set of media items, and the method further comprises calculating a normalized score for a first media item based on the normalized score formula, wherein the first media item is contained within the larger set of media items, but not within the review subset.
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7. The computer-implemented method of claim 2 , wherein the plurality of media items defines a review subset of a larger set of media items, and the method further comprises calculating a normalized score for a first media item based on the normalized score formula, wherein the first media item is contained within the larger set of media items, but not within the review subset. 8. The computer-implemented method of claim 7 , wherein the review subset comprises a fixed number of media items.
| 0.808065 |
1. A computer implemented method for generating lists associated with respective computer program products, comprising: providing a plurality of items, each item of the plurality of items being uniquely identified by an identifier and comprising at least one core attribute, the at least one core attribute being of a variable data type; defining a first context that describes a first set of items from the plurality of items, and that can describe a first other context, the first context including at least one of a first default context attribute and a first overriding context attribute, the first other context comprising one or more items of the first set of items; defining a second context that describes a second set of items from the plurality of items, and that can describe a second other context, the second context including at least one of a second default context attribute and a second overriding context attribute, the second other context comprising one or more items of the second set of items; generating a description language based on the first and second contexts; evaluating the description language based on the first context; generating a first list as a sub-set of items of the plurality of items based on the first context, wherein the first default context attribute is assigned to at least one item of the first list if the at least one item does not include a corresponding attribute, and wherein the first overriding context attribute replaces a corresponding core attribute of at least one item of the first list if the corresponding core attribute conflicts with the first overriding core attribute, the first list being associated with a first version of a software product; and displaying the first list.
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1. A computer implemented method for generating lists associated with respective computer program products, comprising: providing a plurality of items, each item of the plurality of items being uniquely identified by an identifier and comprising at least one core attribute, the at least one core attribute being of a variable data type; defining a first context that describes a first set of items from the plurality of items, and that can describe a first other context, the first context including at least one of a first default context attribute and a first overriding context attribute, the first other context comprising one or more items of the first set of items; defining a second context that describes a second set of items from the plurality of items, and that can describe a second other context, the second context including at least one of a second default context attribute and a second overriding context attribute, the second other context comprising one or more items of the second set of items; generating a description language based on the first and second contexts; evaluating the description language based on the first context; generating a first list as a sub-set of items of the plurality of items based on the first context, wherein the first default context attribute is assigned to at least one item of the first list if the at least one item does not include a corresponding attribute, and wherein the first overriding context attribute replaces a corresponding core attribute of at least one item of the first list if the corresponding core attribute conflicts with the first overriding core attribute, the first list being associated with a first version of a software product; and displaying the first list. 2. The computer implemented method of claim 1 , further comprising: evaluating the description language based on the second context; generating a second list as a sub-set of items of the plurality of items based on the second context, wherein the second default context attribute is assigned to at least one item of the second list if the at least one item does not include a corresponding attribute, and wherein the second overriding context attribute replaces a corresponding core attribute of at least one item of the second list if the corresponding core attribute conflicts with the second overriding core attribute, the second list being associated with a second version of a software product; and displaying the second list.
| 0.530941 |
4. The method of claim 3 , further comprising generating, with the one or more processors associated with the one or more computer systems, one or more notifications indicative of a reason for the hold to an approver or reviewer based on a designated approver or reviewer established in a routing setup.
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4. The method of claim 3 , further comprising generating, with the one or more processors associated with the one or more computer systems, one or more notifications indicative of a reason for the hold to an approver or reviewer based on a designated approver or reviewer established in a routing setup. 5. The method of claim 4 , further comprising modifying, with the one or more processors associated with the one or more computer systems, the information representing the timesheet based on information submitted by an approver relative to the current approver in the sequence of approvers.
| 0.909363 |
6. The computer system of claim 5 , wherein the at least one processor is further configured to: determine that the recurring event is a candidate to return as a search result based on the calculated first score; retrieve information regarding the recurring event from a search document based on the determination, the information including an actual start time for the next instance in time for the event; and calculate a second score for the recurring event based on the actual start time for the next instance and the time restriction.
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6. The computer system of claim 5 , wherein the at least one processor is further configured to: determine that the recurring event is a candidate to return as a search result based on the calculated first score; retrieve information regarding the recurring event from a search document based on the determination, the information including an actual start time for the next instance in time for the event; and calculate a second score for the recurring event based on the actual start time for the next instance and the time restriction. 7. The computer system of claim 6 , wherein the at least one processor is further configured to: match the keyword to common attributes of instances of the recurring event; rank search results including the common attributes based on the second score; and provide the search results in an order based on the ranking.
| 0.85778 |
1. A method of customizing a seller application that facilitates communication of listings to a network-based transaction facility, the method comprising: configuring a seller application executing on a client machine according to a default targeted site, the default targeted site being the site from which a user downloaded the seller application; facilitating selection of at least one targeted site from a plurality of targeted sites presented to the user, the plurality of targeted sites being provided and supported by a network-based transaction facility; and configuring the seller application according to the at least one targeted site selected instead of the default targeted site, the configuring the seller application including configuring the seller application to communicate with the network-based transaction facility according to conventions associated with the at least one targeted site selected.
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1. A method of customizing a seller application that facilitates communication of listings to a network-based transaction facility, the method comprising: configuring a seller application executing on a client machine according to a default targeted site, the default targeted site being the site from which a user downloaded the seller application; facilitating selection of at least one targeted site from a plurality of targeted sites presented to the user, the plurality of targeted sites being provided and supported by a network-based transaction facility; and configuring the seller application according to the at least one targeted site selected instead of the default targeted site, the configuring the seller application including configuring the seller application to communicate with the network-based transaction facility according to conventions associated with the at least one targeted site selected. 2. The method of claim 1 wherein the configuring further includes configuring the seller application to present information to the user in a manner consistent with the conventions associated with the at least one targeted site selected.
| 0.577168 |
15. A non-transitory computer-readable storage medium encoded with instructions that, when executed, cause at least one processor of a computing device to: output, for display, a graphical user interface including a graphical keyboard and one or more text suggestion regions, wherein at least one character string is displayed within the one or more text suggestion regions, the at least one character string being associated with a probability; receive an indication of an initial gesture input detected at a presence-sensitive input device operatively coupled to the computing device; maintain, based on the initial gesture input, past user interaction data to reflect a past decision corresponding to the at least one candidate character string while the at least one candidate character string was previously displayed within the one or more text suggestion regions; receive an indication of a subsequent gesture input detected at the presence-sensitive input device operatively coupled to the computing device; determine, based at least in part on the indication of the subsequent gesture input, at least one candidate character string; determine, based at least in part on an association between the at least one candidate character string and a context of the subsequent gesture input, a lexical probability for the at least one candidate character string, the lexical probability indicating a probability that the at least one candidate character string represents a word included in a lexicon; modify, based at least in part on past interaction data, the lexical probability; and output, for display, based on the lexical probability that was modified based at least in part on the past interaction data, the at least one candidate character string.
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15. A non-transitory computer-readable storage medium encoded with instructions that, when executed, cause at least one processor of a computing device to: output, for display, a graphical user interface including a graphical keyboard and one or more text suggestion regions, wherein at least one character string is displayed within the one or more text suggestion regions, the at least one character string being associated with a probability; receive an indication of an initial gesture input detected at a presence-sensitive input device operatively coupled to the computing device; maintain, based on the initial gesture input, past user interaction data to reflect a past decision corresponding to the at least one candidate character string while the at least one candidate character string was previously displayed within the one or more text suggestion regions; receive an indication of a subsequent gesture input detected at the presence-sensitive input device operatively coupled to the computing device; determine, based at least in part on the indication of the subsequent gesture input, at least one candidate character string; determine, based at least in part on an association between the at least one candidate character string and a context of the subsequent gesture input, a lexical probability for the at least one candidate character string, the lexical probability indicating a probability that the at least one candidate character string represents a word included in a lexicon; modify, based at least in part on past interaction data, the lexical probability; and output, for display, based on the lexical probability that was modified based at least in part on the past interaction data, the at least one candidate character string. 16. The non-transitory computer-readable storage medium of claim 15 , wherein the past interaction data indicates whether the past decision was to ignore the at least one candidate character string while the at least one candidate character string was displayed within the one or more text suggestion regions.
| 0.793758 |
1. A method comprising: displaying, on a display device of a system, a predetermined number of at least one image with at least one non-corresponding label in at least one language; having the user state, into an input device of the system, the at least one image; and determining, with a processor of the system, whether the user is misrepresenting his skill in the language as less than it actually is based on whether the at least one user statement was made with a delay.
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1. A method comprising: displaying, on a display device of a system, a predetermined number of at least one image with at least one non-corresponding label in at least one language; having the user state, into an input device of the system, the at least one image; and determining, with a processor of the system, whether the user is misrepresenting his skill in the language as less than it actually is based on whether the at least one user statement was made with a delay. 7. The method of claim 1 , wherein the at least one non-corresponding label is at least one of: an object, a word, a picture, an illustration, a text, a color, and/or a file.
| 0.795561 |
8. The foreign language learning apparatus of claim 7 , wherein after the one or more word waveforms have been output to the output unit, a voice corresponding to each of the one or more word waveforms is received from a user via an input unit, a matching percentage for each word corresponding to each of the word waveforms is generated, and the learning achievement display unit calculates an average value for each word on a word waveform basis and outputs the calculated average value for each word to the output unit on a word waveform basis.
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8. The foreign language learning apparatus of claim 7 , wherein after the one or more word waveforms have been output to the output unit, a voice corresponding to each of the one or more word waveforms is received from a user via an input unit, a matching percentage for each word corresponding to each of the word waveforms is generated, and the learning achievement display unit calculates an average value for each word on a word waveform basis and outputs the calculated average value for each word to the output unit on a word waveform basis. 9. The foreign language learning apparatus of claim 8 , wherein the learning achievement display unit performs individual customized learning based on the average value for each word waveform.
| 0.94509 |
15. A computer-readable memory device or storage device storing a reusable expression graph, the reusable expression graph comprising: an operator node containing an operator; a first parameter node that acts as a first placeholder; and a second parameter node that is joined to the first parameter node by the operator node, wherein the first parameter node comprises at least one operator and at least one operand.
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15. A computer-readable memory device or storage device storing a reusable expression graph, the reusable expression graph comprising: an operator node containing an operator; a first parameter node that acts as a first placeholder; and a second parameter node that is joined to the first parameter node by the operator node, wherein the first parameter node comprises at least one operator and at least one operand. 16. The computer-readable memory device or storage device of claim 15 , further storing computer readable instructions which, when executed by a processing unit of a computing device, cause the processing unit to perform acts comprising: evaluating an expression represented by the reusable expression graph, including evaluating the at least one operator and the at least one operand.
| 0.677767 |
32. A method comprising: registering one or more rules associated with an entity of a model, the one or more rules related to one or more attributes of the entity; receiving input specifying a value for an attribute of the entity; applying the one or more rules to the value to determine if the value is valid; and generating, using a processor, a validation result that indicates whether the value is valid based on the applying.
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32. A method comprising: registering one or more rules associated with an entity of a model, the one or more rules related to one or more attributes of the entity; receiving input specifying a value for an attribute of the entity; applying the one or more rules to the value to determine if the value is valid; and generating, using a processor, a validation result that indicates whether the value is valid based on the applying. 34. The method of claim 32 , wherein the entity is a dialog element, a parameter associated with the model, or a signal associated with the model.
| 0.661654 |
5. The apparatus for document format conversion according to claim 4 , wherein the font file generation unit is configured to generate the font file using the Unicode value recognized by the Unicode recognition unit and the path group corresponding therewith.
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5. The apparatus for document format conversion according to claim 4 , wherein the font file generation unit is configured to generate the font file using the Unicode value recognized by the Unicode recognition unit and the path group corresponding therewith. 7. The apparatus for document format conversion according to claim 5 , further comprising: a record state determination unit configured to determine whether a Unicode value recognized by the Unicode recognition unit has been recorded; a data acquisition unit configured to determine, if the Unicode value has been recorded, that there is a path group representing the same character and acquiring the recorded Unicode value and the corresponding font file that has been generated, for representing the character to be described by the character representation unit; and configured to generate, if the Unicode value has not been recorded, a font file for representing the character to be described by the character representation unit.
| 0.820159 |
35. The system of claim 31 , wherein the set of characteristics includes aggregate statistical characteristics comprising at least one of generic aggregate statistics and scenario aggregate statistics, wherein the generic aggregate statistics are calculated in a manner that is independent of a set of semantics of the attributes, and wherein the scenario aggregate statistics are defined through a domain expert and are relevant in a particular scenario to enable incorporation of a domain-specific interpretation of semantics of each attribute and each set of data of the at least one of the initial result set and the subsequent result set.
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35. The system of claim 31 , wherein the set of characteristics includes aggregate statistical characteristics comprising at least one of generic aggregate statistics and scenario aggregate statistics, wherein the generic aggregate statistics are calculated in a manner that is independent of a set of semantics of the attributes, and wherein the scenario aggregate statistics are defined through a domain expert and are relevant in a particular scenario to enable incorporation of a domain-specific interpretation of semantics of each attribute and each set of data of the at least one of the initial result set and the subsequent result set. 37. The system of claim 35 , wherein the scenario aggregate statistics are programmed via user-defined aggregate queries associated with the at least one of the initial result set and the subsequent result set, wherein a syntax of the user-defined aggregate queries is specific to a standard query processing engine, and wherein a signature of the scenario aggregate statistics creates a signature that corresponds to a set of table valued functions.
| 0.84336 |
20. The non-transitory computer-readable storage medium of claim 19 , wherein the score threshold is a sum of the best score from a previous frame, a best acoustic score of a current frame and a predefined constant.
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20. The non-transitory computer-readable storage medium of claim 19 , wherein the score threshold is a sum of the best score from a previous frame, a best acoustic score of a current frame and a predefined constant. 21. The non-transitory computer-readable storage medium of claim 20 , the operations further comprising: for each remaining token, calculating the actual acoustic score for the token; discarding the tokens with a modified score exceeding another score threshold, wherein the modified score is a sum of a cumulative score of that token from the previous frame, the weight of the corresponding arc, and the acoustic score of the current frame; and placing any tokens that have not been discarded in an active token buffer for the next frame.
| 0.769929 |
13. The system of claim 12 , wherein in learning the coreference embedding one or more of the processors are to learn the coreference embedding based on generating at least one feature representation of the given noun phrase.
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13. The system of claim 12 , wherein in learning the coreference embedding one or more of the processors are to learn the coreference embedding based on generating at least one feature representation of the given noun phrase. 14. The system of claim 13 , wherein the at least one feature representation of the given noun phrase includes a feature representation of the given noun phrase as a vocative noun phrase.
| 0.953931 |
12. A method of encoding a data string into a symbol, the method of encoding comprising the steps of: receiving the data string comprising a plurality of character codes selected from a first set of character codes, wherein the first set of character codes map to a first set of data characters, and wherein a second set of data characters form a subset of the data characters in the first set of data characters; converting each of the plurality of character codes corresponding to data characters contained only in the second set of data characters into a first defined number of symbol values; converting each of the plurality of character codes corresponding to characters in both the first and the second sets of data characters into a second defined number of symbol values, the second defined number of symbol values being greater than the first defined number of symbol values; and outputting the converted symbol values.
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12. A method of encoding a data string into a symbol, the method of encoding comprising the steps of: receiving the data string comprising a plurality of character codes selected from a first set of character codes, wherein the first set of character codes map to a first set of data characters, and wherein a second set of data characters form a subset of the data characters in the first set of data characters; converting each of the plurality of character codes corresponding to data characters contained only in the second set of data characters into a first defined number of symbol values; converting each of the plurality of character codes corresponding to characters in both the first and the second sets of data characters into a second defined number of symbol values, the second defined number of symbol values being greater than the first defined number of symbol values; and outputting the converted symbol values. 17. The method of claim 12, further comprising the steps of: receiving a plurality of scan codes; parsing the plurality of scan codes; and determining a plurality of character codes based on the parsed scan codes.
| 0.732422 |
1. A computer implemented method for identifying interesting characteristics within a collection of information, the method comprising: analyzing one or more groups from the collection of information; determining, automatically, at least one identifying characteristic within the one or more groups; measuring, by a computer system, distinctiveness of the one or more groups based on a statistical distribution of the at least one identifying characteristic; normalizing the measurement of distinctiveness to account for a size of a group of the one or more groups and a size of at least one other group by determining an amount by which the measurement of distinctiveness exceeds a mean score for one or more groups of a similar or identical size; and organizing, by the computer system, the one or more groups based on the measurement of distinctiveness.
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1. A computer implemented method for identifying interesting characteristics within a collection of information, the method comprising: analyzing one or more groups from the collection of information; determining, automatically, at least one identifying characteristic within the one or more groups; measuring, by a computer system, distinctiveness of the one or more groups based on a statistical distribution of the at least one identifying characteristic; normalizing the measurement of distinctiveness to account for a size of a group of the one or more groups and a size of at least one other group by determining an amount by which the measurement of distinctiveness exceeds a mean score for one or more groups of a similar or identical size; and organizing, by the computer system, the one or more groups based on the measurement of distinctiveness. 8. The method according to claim 1 , further comprising identifying navigation options in response to the measuring distinctiveness.
| 0.678545 |
6. A method of extracting semantic relationships among entities in a sentence, comprising: accessing at least one data set from a remote storage device specifically programmed to store data that represents documents containing at least one association between two or more entities; identifying a first sentence included in the at least one data set; extracting entities from the first sentence using an extraction engine specifically programmed to extract entities from a sentence; determining a semantic type associated with each of the entities; determining a relationship that exists between two or more of the entities; generating a subsequence that includes one or more semantic types and at least one verb, wherein the one or more semantic types include the semantic type associated with each of the two or more of the entities; calculating a weight value of the subsequence; and storing the subsequence, the weight value, the semantic type associated with each of the entities, and the relationship in a storage device that is specifically programmed to store the subsequence, the weight value, the semantic type associated with each of the entities, and the relationship.
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6. A method of extracting semantic relationships among entities in a sentence, comprising: accessing at least one data set from a remote storage device specifically programmed to store data that represents documents containing at least one association between two or more entities; identifying a first sentence included in the at least one data set; extracting entities from the first sentence using an extraction engine specifically programmed to extract entities from a sentence; determining a semantic type associated with each of the entities; determining a relationship that exists between two or more of the entities; generating a subsequence that includes one or more semantic types and at least one verb, wherein the one or more semantic types include the semantic type associated with each of the two or more of the entities; calculating a weight value of the subsequence; and storing the subsequence, the weight value, the semantic type associated with each of the entities, and the relationship in a storage device that is specifically programmed to store the subsequence, the weight value, the semantic type associated with each of the entities, and the relationship. 7. The method of claim 6 further comprising: generating a Chi-Square score value for each of the one or more other subsequences and for the subsequence; and ordering the subsequence and the one or more other subsequences based on the Chi-Square score value of each of the subsequence and the one or more other subsequences.
| 0.547199 |
1. A system for authoring metadata for describing multimedia contents, comprising: a storage device for loading a metadata document that describes corresponding multimedia contents; a metadata editor for displaying the loaded metadata document according to a predetermined method, and allowing a user to edit the metadata document; a multimedia access reproducer for accessing and reproducing the corresponding multimedia contents; an inter-media metadata interface for linking the multimedia access reproducer and the metadata editor and allowing the user to browse the multimedia contents and effectively edit a portion of the metadata document that relates to a specific interval of the multimedia contents; a metadata output device for outputting the edited metadata document according to a predefined format when the authoring is finished; wherein the storage device loads metadata schema information, and a metadata input device extracts valid portions and loads the valid portions into the storage device when invalid portions are found after checking the validity of the metadata document.
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1. A system for authoring metadata for describing multimedia contents, comprising: a storage device for loading a metadata document that describes corresponding multimedia contents; a metadata editor for displaying the loaded metadata document according to a predetermined method, and allowing a user to edit the metadata document; a multimedia access reproducer for accessing and reproducing the corresponding multimedia contents; an inter-media metadata interface for linking the multimedia access reproducer and the metadata editor and allowing the user to browse the multimedia contents and effectively edit a portion of the metadata document that relates to a specific interval of the multimedia contents; a metadata output device for outputting the edited metadata document according to a predefined format when the authoring is finished; wherein the storage device loads metadata schema information, and a metadata input device extracts valid portions and loads the valid portions into the storage device when invalid portions are found after checking the validity of the metadata document. 10. The system of claim 1 , wherein the format of the metadata output through the metadata output device is XML (extensible markup language).
| 0.574088 |
5. The method of claim 1 , further comprising determining the auditory input spectrum, wherein determining the auditory spectrum involves passing the input window of sound through a cochlear filtering stage, inner hair cell stage, and lateral inhibitory stage that mimic transmission between the basilar membrane and the cochlear nucleus of an auditory system.
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5. The method of claim 1 , further comprising determining the auditory input spectrum, wherein determining the auditory spectrum involves passing the input window of sound through a cochlear filtering stage, inner hair cell stage, and lateral inhibitory stage that mimic transmission between the basilar membrane and the cochlear nucleus of an auditory system. 6. The method of claim 5 , wherein the cochlear filtering stage is implemented using a bank of 128 overlapping constant-Q asymmetric band-pass filters.
| 0.815271 |
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