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23. A system configured to associate base content with relevant content and serve the base content with the relevant content to a user system, the system comprising: A processor; a plurality of property servers configured to provide the base content; a content-management system coupled with the plurality of property servers and configured to receive the base content from the property servers and generate at least one association between the base content and the relevant content, wherein the content-management system includes: a parsing module configured to parse the base content to form parsed base content; a unit-dictionary module coupled with the parsing module and including a plurality of query units; a query processing engine coupled with the unit-dictionary module and configured to receive and remove query units from the plurality of query units in the unit-dictionary module; a unit-extraction module coupled with the unit-dictionary module and configured to extract query units included in the unit-dictionary module from the parsed based content, wherein the query units extracted from the base content are referred to as the extracted-query units; a unit-ranking module coupled with the unit-extraction module and configured to rank the query units based on relevance scores and revenue-generation amounts for the query units, wherein the relevance scores of the query units reflects a number of times the query unit appears within the base content; and a unit-matching module coupled with the unit-ranking module and configured to generate at least one association between the base content and the relevant content based on whether the extracted-query units and the query units associated with the relevant content are the same; and a client browser coupled with the unit-matching module and configured to receive the base content and the relevant content and present the base content and relevant content as a published web page, wherein the relevant content includes at least one advertisement. | 23. A system configured to associate base content with relevant content and serve the base content with the relevant content to a user system, the system comprising: A processor; a plurality of property servers configured to provide the base content; a content-management system coupled with the plurality of property servers and configured to receive the base content from the property servers and generate at least one association between the base content and the relevant content, wherein the content-management system includes: a parsing module configured to parse the base content to form parsed base content; a unit-dictionary module coupled with the parsing module and including a plurality of query units; a query processing engine coupled with the unit-dictionary module and configured to receive and remove query units from the plurality of query units in the unit-dictionary module; a unit-extraction module coupled with the unit-dictionary module and configured to extract query units included in the unit-dictionary module from the parsed based content, wherein the query units extracted from the base content are referred to as the extracted-query units; a unit-ranking module coupled with the unit-extraction module and configured to rank the query units based on relevance scores and revenue-generation amounts for the query units, wherein the relevance scores of the query units reflects a number of times the query unit appears within the base content; and a unit-matching module coupled with the unit-ranking module and configured to generate at least one association between the base content and the relevant content based on whether the extracted-query units and the query units associated with the relevant content are the same; and a client browser coupled with the unit-matching module and configured to receive the base content and the relevant content and present the base content and relevant content as a published web page, wherein the relevant content includes at least one advertisement. 26. The system of claim 23 , wherein the relevant content and the base content are served to a user based on the at least one association, if the user requests the base content. | 0.509845 |
8. The method as recited in claim 6 , wherein performing the phoneme-level alignment includes determining a best overall alignment of identical phonemes of the one or more words of the first statement within the given potential confusion zone with the one or more words of the second statement within the given potential confusion zone. | 8. The method as recited in claim 6 , wherein performing the phoneme-level alignment includes determining a best overall alignment of identical phonemes of the one or more words of the first statement within the given potential confusion zone with the one or more words of the second statement within the given potential confusion zone. 9. The method as recited in claim 8 , wherein the best overall alignment of identical phonemes corresponds to a maximum number of aligned identical phonemes between the one or more words of the first statement within the given potential confusion zone and the one or more words of the second statement within the given potential confusion zone. | 0.850186 |
1. An apparatus for recognizing an expression using an expression-gesture dictionary, the apparatus comprising: a learning image acquisitor configured to obtain position data of a face and eyes from a learning expression, perform a first normalization based on the obtained position data, track a change of a dense motion of the learning expression from a reference frame of a neutral expression, and generate expression learning data; an expression-gesture dictionary and expression-gesture dictionary learner configured to represent and store a numerical value for expression recognition for each expression according to a dictionary learning method satisfying a given limiting condition using a local support map in an image coordinate space for a motion flow with respect to a set of changes of the dense motion of the learning expression after initializing the expression-gesture dictionary; an expression classifier learner configured to learn an expression classification for each expression based on a weight of data on the expression-gesture dictionary; a recognition image acquisitor configured to obtain position data of a face and eyes from a recognition target, perform a second normalization based on the obtained position data, track a change of a dense motion of the recognition target from the reference frame of the neutral expression, and generate recognition data; and an expression recognizer configured to analyze an expression weight on data to be recognized, determine a closest classification by the expression classifier learner, and recognize an expression, wherein the first normalization removes a peripheral region regardless of an expression in a facial region by giving an offset as a predetermined ratio based on positions of two eyes after aligning a center of the two eyes to be a reference point based on positions of the two eyes which are detected, and sets a position coordinate of a feature portion. | 1. An apparatus for recognizing an expression using an expression-gesture dictionary, the apparatus comprising: a learning image acquisitor configured to obtain position data of a face and eyes from a learning expression, perform a first normalization based on the obtained position data, track a change of a dense motion of the learning expression from a reference frame of a neutral expression, and generate expression learning data; an expression-gesture dictionary and expression-gesture dictionary learner configured to represent and store a numerical value for expression recognition for each expression according to a dictionary learning method satisfying a given limiting condition using a local support map in an image coordinate space for a motion flow with respect to a set of changes of the dense motion of the learning expression after initializing the expression-gesture dictionary; an expression classifier learner configured to learn an expression classification for each expression based on a weight of data on the expression-gesture dictionary; a recognition image acquisitor configured to obtain position data of a face and eyes from a recognition target, perform a second normalization based on the obtained position data, track a change of a dense motion of the recognition target from the reference frame of the neutral expression, and generate recognition data; and an expression recognizer configured to analyze an expression weight on data to be recognized, determine a closest classification by the expression classifier learner, and recognize an expression, wherein the first normalization removes a peripheral region regardless of an expression in a facial region by giving an offset as a predetermined ratio based on positions of two eyes after aligning a center of the two eyes to be a reference point based on positions of the two eyes which are detected, and sets a position coordinate of a feature portion. 2. The apparatus for recognizing the expression using the expression-gesture dictionary of claim 1 , wherein the expression-gesture dictionary learner obtains the numerical value for expression recognition by a method of obtaining an optimal value for an object function of Equation 1 according to a dictionary learning method, min D , α ∑ i = 1 N x i - D α i 2 K + ∑ k = 1 K ∑ j = 1 M Λ ki d k ( j ) 2 s . t . max ( α i ) = 1 , α i ≥ 0. [ Equation 1 ] (Here, D is a numerical value of a dictionary to be obtained, α i represents an i-th weight vector, d k (j) represents a dimension of a j-th motion in a k-th dictionary column, K is the number of dictionaries which is set, M is a dimension of a gesture motion, x i is i-th motion data, N represents the amount of motion data used for learning, and Λ ki is a local support map in the k-th dictionary for an i-th sample). | 0.5 |
3. A method for a computer to generate and export a data structure containing encrypted data and accompanying metadata with a specified offset, comprising: a. having a one-time-pad communications key; b. using said one-time-Dad communications key to encrypt a data set starting at an offset location within said key thereby creating an encrypted data set; c. generating a unitary data structure containing said encrypted data set and metadata comprising an offset number specifying said offset location and a key identification number identifying said one-time-pad communications key; and d. exporting said data structure for transmission to a remote recipient. | 3. A method for a computer to generate and export a data structure containing encrypted data and accompanying metadata with a specified offset, comprising: a. having a one-time-pad communications key; b. using said one-time-Dad communications key to encrypt a data set starting at an offset location within said key thereby creating an encrypted data set; c. generating a unitary data structure containing said encrypted data set and metadata comprising an offset number specifying said offset location and a key identification number identifying said one-time-pad communications key; and d. exporting said data structure for transmission to a remote recipient. 5. The method of claim 3 further comprising transmitting the data structure containing said encrypted data set and metadata on a computer network. | 0.717308 |
17. A computer program product comprising a non-transitory computer readable medium having computer usable code embodied therewith, the computer usable code comprising: computer usable program code stored in the non-transitory computer readable-medium that when executed by a processor causes the processor to receive a correction request including an identifier of an original email and an incorrect recipient; computer usable program code stored in the non-transitory computer readable-medium that when executed by a processor causes the processor to, in response to the correction request, create a correction record including the identifier of the original email and the incorrect recipient; computer usable program code stored in the non-transitory computer readable-medium that when executed by a processor causes the processor to, in response to receiving relevant emails of the original email, determine whether recipients of the relevant emails include the incorrect recipient; and computer usable program code stored in the non-transitory computer readable medium that when executed by a processor causes the processor to, in response to determining that a sender of the correction request is not the incorrect recipient, sending the correction request to the incorrect recipient; computer usable program code stored in the non-transitory computer readable medium that when executed by a processor causes the processor to receive from the incorrect recipient acknowledgment to the correction request; computer usable program code stored in the non-transitory computer readable medium that when executed by a processor causes the processor to, in response to receiving from the incorrect recipient the acknowledgment to the correction request determining the correction record to be valid; and computer usable program code stored in the non-transitory computer readable-medium that when executed by a processor causes the processor to, in response to determining that recipients of the relevant emails include the incorrect recipient and in response to determining the correction record to be valid, process the relevant emails based on the correction record. | 17. A computer program product comprising a non-transitory computer readable medium having computer usable code embodied therewith, the computer usable code comprising: computer usable program code stored in the non-transitory computer readable-medium that when executed by a processor causes the processor to receive a correction request including an identifier of an original email and an incorrect recipient; computer usable program code stored in the non-transitory computer readable-medium that when executed by a processor causes the processor to, in response to the correction request, create a correction record including the identifier of the original email and the incorrect recipient; computer usable program code stored in the non-transitory computer readable-medium that when executed by a processor causes the processor to, in response to receiving relevant emails of the original email, determine whether recipients of the relevant emails include the incorrect recipient; and computer usable program code stored in the non-transitory computer readable medium that when executed by a processor causes the processor to, in response to determining that a sender of the correction request is not the incorrect recipient, sending the correction request to the incorrect recipient; computer usable program code stored in the non-transitory computer readable medium that when executed by a processor causes the processor to receive from the incorrect recipient acknowledgment to the correction request; computer usable program code stored in the non-transitory computer readable medium that when executed by a processor causes the processor to, in response to receiving from the incorrect recipient the acknowledgment to the correction request determining the correction record to be valid; and computer usable program code stored in the non-transitory computer readable-medium that when executed by a processor causes the processor to, in response to determining that recipients of the relevant emails include the incorrect recipient and in response to determining the correction record to be valid, process the relevant emails based on the correction record. 18. The computer program product according to claim 17 , wherein, the identifier of the original email is an email thread identifier of the original email; the relevant emails and the original email belong to a same email thread. | 0.582189 |
1. A computer implemented method for providing visual feedback to a computer user while manipulating texts displayed on a display device of a computer system, the method comprising: displaying a text object representing selected text when a visible symbol controlled by a control device is positioned near the selected text at a source location of a first window and when a button of the control device is in a second position; moving the text object following the visible symbol from the source location of the first window to a destination location of a second window while the button of the control device is the second position; displaying the selected text at the second location of the second window identified via an insertion caret when the button of the control device is in a first position; displaying a first bounding rectangle for the selected text of the source location in response to displaying the text object; displaying a second bounding rectangle for the selected text of the destination location identified by the insertion caret; and visually zooming at least a portion of the selected text from the first bounding rectangle of the source location to the second bounding rectangle of the destination location when the button of the control device is in the first position. | 1. A computer implemented method for providing visual feedback to a computer user while manipulating texts displayed on a display device of a computer system, the method comprising: displaying a text object representing selected text when a visible symbol controlled by a control device is positioned near the selected text at a source location of a first window and when a button of the control device is in a second position; moving the text object following the visible symbol from the source location of the first window to a destination location of a second window while the button of the control device is the second position; displaying the selected text at the second location of the second window identified via an insertion caret when the button of the control device is in a first position; displaying a first bounding rectangle for the selected text of the source location in response to displaying the text object; displaying a second bounding rectangle for the selected text of the destination location identified by the insertion caret; and visually zooming at least a portion of the selected text from the first bounding rectangle of the source location to the second bounding rectangle of the destination location when the button of the control device is in the first position. 3. The method of claim 1 , further comprising removing the selected text at the source location after the visually zooming is completed and the selected text is displayed at the destination location. | 0.561837 |
1. A text prediction system, comprising: one or more processors; memory storing instructions that, when executed by the one or more processors, cause the one or more processors to: generate at least one first sequence prediction based on a first evidence source and a first model, wherein each of the at least one first sequence prediction comprises a first sequence and a first associated probability estimate; generate at least one second sequence prediction based on a second evidence source and a second model, wherein each of the at least one second sequence prediction comprises a second sequence and a second associated probability estimate; wherein the first associated probability estimate or the second associated probability estimate is weighted according to a probability that the first model or the second model comprises a given context sequence; and combine the at least one first sequence prediction and the at least one second sequence prediction into at least one combined sequence prediction based at least in part on the first associated probability estimate and the second associated probability estimate; and a display coupled to at least one of the one or more processors or the memory, wherein the display is configured to: output the at least one combined sequence prediction within a text entry graphical user interface. | 1. A text prediction system, comprising: one or more processors; memory storing instructions that, when executed by the one or more processors, cause the one or more processors to: generate at least one first sequence prediction based on a first evidence source and a first model, wherein each of the at least one first sequence prediction comprises a first sequence and a first associated probability estimate; generate at least one second sequence prediction based on a second evidence source and a second model, wherein each of the at least one second sequence prediction comprises a second sequence and a second associated probability estimate; wherein the first associated probability estimate or the second associated probability estimate is weighted according to a probability that the first model or the second model comprises a given context sequence; and combine the at least one first sequence prediction and the at least one second sequence prediction into at least one combined sequence prediction based at least in part on the first associated probability estimate and the second associated probability estimate; and a display coupled to at least one of the one or more processors or the memory, wherein the display is configured to: output the at least one combined sequence prediction within a text entry graphical user interface. 12. The system according to claim 1 , wherein the instructions, when executed by the one or more processors, further cause the one or more processors to receive text from the text entry graphical user interface, to generate the at least one combined sequence prediction, and to provide the at least one combined sequence prediction to the text entry graphical user interface for output to the display. | 0.591584 |
1. A method for predicting a value of a variable associated with a target word or set of words, performed by an apparatus comprising at least one computer and comprising the steps of: the apparatus collecting a text corpus comprising a set of words that include the target word, the apparatus generating a representation of the text corpus, the at least one computer creating a semantic space for the set of words, based on the representation of the text corpus, the at least one computer defining, for a location in the semantic space, a value of the variable, the at least one computer estimating, for the target word, a value of the variable, based on the semantic space and the defined variable value of the location in the semantic space, calculating, by the at least one computer, a predicted value of the target word, on basis of the semantic space, the defined variable value of the location in the semantic space and the estimated variable value of the target word, and statistically testing if two sets of words or two sets of documents of the text corpora differ in semantic representation, wherein the step of statistically testing comprises: i) calculating a first vector to represent a mean location in the semantic space for a first of the two sets of words or documents; ii) calculating a second vector to represent a mean location in the semantic space for a second of the two sets of words or documents; iii) calculating a distance between the first and second vectors; iv) repeating the steps i), ii), and iii) above while assigning the words randomly to the first of the two sets of words or documents and to the second of the two sets of words or documents; v) counting a percentage of occasions when the distance for the randomly assigned words is larger than when the distance is based on the non-randomly assigned words; and vi) providing the counted percentage as a probability for whether the two sets of words or documents differ in semantic representation. | 1. A method for predicting a value of a variable associated with a target word or set of words, performed by an apparatus comprising at least one computer and comprising the steps of: the apparatus collecting a text corpus comprising a set of words that include the target word, the apparatus generating a representation of the text corpus, the at least one computer creating a semantic space for the set of words, based on the representation of the text corpus, the at least one computer defining, for a location in the semantic space, a value of the variable, the at least one computer estimating, for the target word, a value of the variable, based on the semantic space and the defined variable value of the location in the semantic space, calculating, by the at least one computer, a predicted value of the target word, on basis of the semantic space, the defined variable value of the location in the semantic space and the estimated variable value of the target word, and statistically testing if two sets of words or two sets of documents of the text corpora differ in semantic representation, wherein the step of statistically testing comprises: i) calculating a first vector to represent a mean location in the semantic space for a first of the two sets of words or documents; ii) calculating a second vector to represent a mean location in the semantic space for a second of the two sets of words or documents; iii) calculating a distance between the first and second vectors; iv) repeating the steps i), ii), and iii) above while assigning the words randomly to the first of the two sets of words or documents and to the second of the two sets of words or documents; v) counting a percentage of occasions when the distance for the randomly assigned words is larger than when the distance is based on the non-randomly assigned words; and vi) providing the counted percentage as a probability for whether the two sets of words or documents differ in semantic representation. 3. A method according to claim 1 , wherein the creating of the semantic space comprises performing a singular value decomposition on the representation of the text corpus. | 0.645811 |
12. A synthetic speech system comprising: a computer process for detecting natural timing boundaries in words to be spoken by said synthetic speech system, to produce natural timing intervals, said words stored in a computer memory; a computer process for identifying phonemes in said natural timing intervals; a computer process for assigning first time durations for each of said phonemes; a computer process for changing a selected first time duration of a selected phoneme to achieve a desired time duration for a selected natural timing interval containing said selected phoneme; and a computer process for setting a plurality of said natural timing intervals to substantially the same second time duration, a particular phoneme having a computed time duration in response to number of phonemes within said selected natural timing interval and said second time duration; wherein at least one respective time duration of at least one respective phoneme is based upon a selectable parameter indicative of degree to which the at least one respective time duration is adjustable without undesirably degrading speech produced by the system. | 12. A synthetic speech system comprising: a computer process for detecting natural timing boundaries in words to be spoken by said synthetic speech system, to produce natural timing intervals, said words stored in a computer memory; a computer process for identifying phonemes in said natural timing intervals; a computer process for assigning first time durations for each of said phonemes; a computer process for changing a selected first time duration of a selected phoneme to achieve a desired time duration for a selected natural timing interval containing said selected phoneme; and a computer process for setting a plurality of said natural timing intervals to substantially the same second time duration, a particular phoneme having a computed time duration in response to number of phonemes within said selected natural timing interval and said second time duration; wherein at least one respective time duration of at least one respective phoneme is based upon a selectable parameter indicative of degree to which the at least one respective time duration is adjustable without undesirably degrading speech produced by the system. 13. The system as in claim 12 further comprising: a computer process for dividing said phonemes into at least two groups, a first group of extensible phonemes and a second group of fixed phonemes, and to adjust respective time durations of said extensible phonemes while not adjusting respective time durations of said fixed phonemes. | 0.5 |
1. A computer-implemented method comprising: determining, by a server, a level score of a learner based upon a plurality of responsive inputs received from a client device associated with the learner during one or more sessions associating at least one server with a browser of the client device, wherein, during a session of the one or more sessions, the server is configured to receive from the client device one or more responsive inputs of the plurality of responsive inputs via one or more networks; determining, by the server, a pedagogical value threshold based upon the level score of the learner and a resource difficulty score of a resource containing text having one or more words; storing, by the server, into a keyword store, each word of the one or more words having a word difficulty score satisfying the pedagogical value threshold, wherein the keyword store is hosted on one or more computers comprising non-transitory machine-readable storage media configured to store each of the words of one or more resources; selecting, by the server and from a resource store, the resource comprising content associated with one or more learner attributes of the learner using the words satisfying the pedagogical value threshold; identifying, by the server, a type of learning activity that exercises a language skill for improvement of the learner and corresponds to a goal of the learner; identifying, by the server, one or more records in a distractor store containing a set of one or more distractors of a type suited to the identified type of learning activity; and generating, by the server, a learning activity of the identified type of learning activity utilizing at least one of the set of one or more distractors extracted from the selected resource. | 1. A computer-implemented method comprising: determining, by a server, a level score of a learner based upon a plurality of responsive inputs received from a client device associated with the learner during one or more sessions associating at least one server with a browser of the client device, wherein, during a session of the one or more sessions, the server is configured to receive from the client device one or more responsive inputs of the plurality of responsive inputs via one or more networks; determining, by the server, a pedagogical value threshold based upon the level score of the learner and a resource difficulty score of a resource containing text having one or more words; storing, by the server, into a keyword store, each word of the one or more words having a word difficulty score satisfying the pedagogical value threshold, wherein the keyword store is hosted on one or more computers comprising non-transitory machine-readable storage media configured to store each of the words of one or more resources; selecting, by the server and from a resource store, the resource comprising content associated with one or more learner attributes of the learner using the words satisfying the pedagogical value threshold; identifying, by the server, a type of learning activity that exercises a language skill for improvement of the learner and corresponds to a goal of the learner; identifying, by the server, one or more records in a distractor store containing a set of one or more distractors of a type suited to the identified type of learning activity; and generating, by the server, a learning activity of the identified type of learning activity utilizing at least one of the set of one or more distractors extracted from the selected resource. 4. The method according to claim 1 , further comprising determining, by the computer, the resource difficulty score of the text of the resource based upon one or more characteristics of the text of the resource. | 0.537845 |
1. A method comprising: modifying, based on identification of a user as new, a front-end which converts text into linguistic tokens, to yield a user-specific front-end; receiving a user selection of an animated character to guide the user; and generating a custom text-to-speech voice by: collecting text data associated with a domain from a pre-existing text data source, to yield collected text data; selecting, based on the user-specific front-end, synthesis speech units specific to the domain from a pre-existing inventory of synthesis speech units using the collected text data; caching the synthesis speech units specific to the domain as an in-domain inventory of synthesis speech units; and generating, via a processor, the custom text-to-speech voice for a specific task in the domain utilizing the in-domain inventory of synthesis speech units, wherein the animated character will use the custom text-to-speech voice. | 1. A method comprising: modifying, based on identification of a user as new, a front-end which converts text into linguistic tokens, to yield a user-specific front-end; receiving a user selection of an animated character to guide the user; and generating a custom text-to-speech voice by: collecting text data associated with a domain from a pre-existing text data source, to yield collected text data; selecting, based on the user-specific front-end, synthesis speech units specific to the domain from a pre-existing inventory of synthesis speech units using the collected text data; caching the synthesis speech units specific to the domain as an in-domain inventory of synthesis speech units; and generating, via a processor, the custom text-to-speech voice for a specific task in the domain utilizing the in-domain inventory of synthesis speech units, wherein the animated character will use the custom text-to-speech voice. 11. The method of claim 1 , wherein the user-specific front-end is a portion of a speech recognition system specifically configured for a speaking style and a language of the user. | 0.515789 |
10. An apparatus for aiding a user in producing a part of a dictionary stored in a machine-readable storage medium in a machine readable manner for storing morphemes in a prescribed language, comprising: means for obtaining a first form of a target morpheme which the user desires to have said dictionary store; means for receiving a second form of said target morpheme input by the user from a prescribed input region; manually operable input means for editing, at a input position that can be moved by the operator changing the cursor position, a character string displayed on said prescribed input region, means for displaying said first form on said prescribed input region and positioning the cursor at a character location in said first form with the highest estimated possibility that said first form and said second form are different from each other; and means for storing said first form and said second form in association with each other in said user dictionary. | 10. An apparatus for aiding a user in producing a part of a dictionary stored in a machine-readable storage medium in a machine readable manner for storing morphemes in a prescribed language, comprising: means for obtaining a first form of a target morpheme which the user desires to have said dictionary store; means for receiving a second form of said target morpheme input by the user from a prescribed input region; manually operable input means for editing, at a input position that can be moved by the operator changing the cursor position, a character string displayed on said prescribed input region, means for displaying said first form on said prescribed input region and positioning the cursor at a character location in said first form with the highest estimated possibility that said first form and said second form are different from each other; and means for storing said first form and said second form in association with each other in said user dictionary. 11. A dictionary production aiding apparatus as recited in claim 10, wherein said means for positioning the input position includes means for displaying said first form on said input region, means for specifying a part of speech categorizing said target morpheme, means for estimating a location with the highest estimated possibility that the form of said second morpheme is different from the form of said first morpheme depending upon the kind of said specified part of speech, and means for positioning the input position at a corresponding position on said input region based on the result of estimation by said estimation means. | 0.575519 |
2. The method of creating a document layout of claim 1 further comprising the step of creating and outputting a formatted document using said particular document layout. | 2. The method of creating a document layout of claim 1 further comprising the step of creating and outputting a formatted document using said particular document layout. 11. The method of creating a document layout of claim 2 wherein said rule of placement comprises: (a) a geometric test that determines if said next object area overlaps a previously placed object area and if said next object area crosses a side boundary of a document page; and (b) a reading order predicate test that ensures that said object areas are placed in a proper order. | 0.923166 |
1. A computer-implemented method, comprising: receiving in a computer system a search query; determining, for each web page in a plurality of web pages that satisfy a search query and have a position in a ranked order of web pages that satisfy the search query, whether the web page is a reference page for a book, wherein a particular web page is determined to be a reference page for a particular book when (i) the web page includes a reference to the particular book and has a citation score that satisfies a citation criterion for the particular book, (ii) a citation score of the web page for the particular book exceeds a citation threshold, and (iii) citation scores of the web page for other books referenced on the web page are each less than the citation score for the particular book, wherein the citation score is a measure of relevance of book metadata for the particular book to content of the web page; selecting, from among the web pages, a subset of web pages that are each a reference page for a respective book; assigning a book score to each of the books for which there is at least one reference page in the subset of web pages, where each of the reference pages in the subset referencing a respective book contributes to the book score for the respective book; selecting one or more of the books based on the book scores; generating a book reference for each of the one or more books, wherein each book reference includes at least one of citation information of the respective book or a link to a page of the respective book; and providing, in a response to the search query, the book references in addition to one or more web content references, each web content reference linking to one of the plurality of web pages. | 1. A computer-implemented method, comprising: receiving in a computer system a search query; determining, for each web page in a plurality of web pages that satisfy a search query and have a position in a ranked order of web pages that satisfy the search query, whether the web page is a reference page for a book, wherein a particular web page is determined to be a reference page for a particular book when (i) the web page includes a reference to the particular book and has a citation score that satisfies a citation criterion for the particular book, (ii) a citation score of the web page for the particular book exceeds a citation threshold, and (iii) citation scores of the web page for other books referenced on the web page are each less than the citation score for the particular book, wherein the citation score is a measure of relevance of book metadata for the particular book to content of the web page; selecting, from among the web pages, a subset of web pages that are each a reference page for a respective book; assigning a book score to each of the books for which there is at least one reference page in the subset of web pages, where each of the reference pages in the subset referencing a respective book contributes to the book score for the respective book; selecting one or more of the books based on the book scores; generating a book reference for each of the one or more books, wherein each book reference includes at least one of citation information of the respective book or a link to a page of the respective book; and providing, in a response to the search query, the book references in addition to one or more web content references, each web content reference linking to one of the plurality of web pages. 2. The method of claim 1 , wherein the citation scores of the web page for other books referenced on the web page are each at least a predetermined percentage less than the citation score for the particular book. | 0.553685 |
15. A system for displaying at least one available action overlaid on an image, the system comprising: a memory device that stores instructions; and a processor circuitry that executes the instructions and is configured to: generate, for display, a live image and a visual guide overlaid on the live image; identify an object of interest in the live image based on the proximity of the object of interest to the visual guide; identify, without receiving user input, a first plurality of actions of different types from a second plurality of actions for subsequent selection by the user, the first plurality of actions being identified automatically based at least in part on the object of interest and at least one of (1) current device location, (2) location at which the live image was taken, (3) date of capturing the live image, (4) time of capturing the live image, and (5) a user preference signature representing prior actions selected by a user and content preferences learned about the user associated with particular times or locations at which prior actions were selected by the user; assign a ranking weight to the first plurality of actions based on a non-textual portion of the identified object of interest; rank the first plurality of actions based on its assigned ranking weight; and present the first plurality of actions to a user as selectable options. | 15. A system for displaying at least one available action overlaid on an image, the system comprising: a memory device that stores instructions; and a processor circuitry that executes the instructions and is configured to: generate, for display, a live image and a visual guide overlaid on the live image; identify an object of interest in the live image based on the proximity of the object of interest to the visual guide; identify, without receiving user input, a first plurality of actions of different types from a second plurality of actions for subsequent selection by the user, the first plurality of actions being identified automatically based at least in part on the object of interest and at least one of (1) current device location, (2) location at which the live image was taken, (3) date of capturing the live image, (4) time of capturing the live image, and (5) a user preference signature representing prior actions selected by a user and content preferences learned about the user associated with particular times or locations at which prior actions were selected by the user; assign a ranking weight to the first plurality of actions based on a non-textual portion of the identified object of interest; rank the first plurality of actions based on its assigned ranking weight; and present the first plurality of actions to a user as selectable options. 18. The system of claim 15 , wherein the live image is an image of a portion of an environment surrounding the user. | 0.639498 |
6. A method comprising: receiving data identifying an entity; parsing the data to extract the entity; generating in a computer system a group of candidate aspects for the entity, the computer system comprising one or more computers; for each of one or more pairs of candidate aspects, calculating a similarity score based on identifying respective sets of search results corresponding to respective queries of candidate aspects in the pair of candidate aspects and comparing search results in the sets of search results; modifying in the computer system the group of candidate aspects to generate a group of modified candidate aspects based on the similarity score for the candidate aspects, modifying comprising combining similar candidate aspects and grouping candidate aspects using one or more aspect classes each associated with one or more candidate aspects; ranking in the computer system one or more modified candidate aspects in the group of modified candidate aspects based on a diversity score and a popularity score, the popularity score for each of the modified candidate aspects based on a frequency of appearance of the modified candidate aspect and the diversity score for each of the modified candidate aspects based on similarity of the modified candidate aspect to other of the modified candidate aspects; and storing an association of one or more of the highest ranked modified candidate aspects with the entity in a data storage device of the computer system for presentation of each of the modified candidate aspects in combination with one or more search results that are specific to the modified candidate aspect. | 6. A method comprising: receiving data identifying an entity; parsing the data to extract the entity; generating in a computer system a group of candidate aspects for the entity, the computer system comprising one or more computers; for each of one or more pairs of candidate aspects, calculating a similarity score based on identifying respective sets of search results corresponding to respective queries of candidate aspects in the pair of candidate aspects and comparing search results in the sets of search results; modifying in the computer system the group of candidate aspects to generate a group of modified candidate aspects based on the similarity score for the candidate aspects, modifying comprising combining similar candidate aspects and grouping candidate aspects using one or more aspect classes each associated with one or more candidate aspects; ranking in the computer system one or more modified candidate aspects in the group of modified candidate aspects based on a diversity score and a popularity score, the popularity score for each of the modified candidate aspects based on a frequency of appearance of the modified candidate aspect and the diversity score for each of the modified candidate aspects based on similarity of the modified candidate aspect to other of the modified candidate aspects; and storing an association of one or more of the highest ranked modified candidate aspects with the entity in a data storage device of the computer system for presentation of each of the modified candidate aspects in combination with one or more search results that are specific to the modified candidate aspect. 10. The method of claim 6 , further comprising: associating the entity with a class, the class having one or more class members including the entity; and where generating the group of candidate aspects includes generating candidate aspects corresponding to the entity and the class. | 0.578861 |
89. Computerized information and display apparatus, comprising: a wireless network interface; processing apparatus in data communication with the network interface; a display device; a data interface in data communication with the processing apparatus and configured to transfer data between the computerized information and display apparatus and a portable electronic device placed in data communication with the data interface; and a storage apparatus comprising at least one computer program, said at least one program being configured to, when executed: obtain digitized speech generated based on speech received from a user, the digitized speech relating to a desired action which the user wishes to perform; and cause, based at least in part on the digitized speech, access of a network entity to cause performance of the desired action; wherein the computerized information and display apparatus is further configured to: receive information obtained via the access of the network entity via the wireless network interface; and provide at least a portion of the received information to the portable electronic device via the data interface; wherein the computerized information and display apparatus is disposed within a land- mobile transport device capable of moving between locations, the land-mobile transport device comprising a control apparatus, wherein a user of the land-mobile transport device can provide an input to the control apparatus to cause the land-mobile transport device to substantially automatically move from one location to another without further user input; and wherein the control apparatus is further configured to calculate whether or not the land- mobile transport device should stop at a prescribed location during said substantially automatic movement; wherein the computerized information and display apparatus further comprises speech synthesis apparatus in data communication with the processing apparatus; and wherein the computerized information and display system is further configured to engage the user in an interactive dialogue, the dialogue comprising: (i) the speech is received from the user; (ii) at least one subsequent confirmatory or adaptive response to the speech generated audibly by at least the speech synthesis apparatus, the response based at least in part on the speech; and (iii) at least one subsequent speech input provided by the user after the response is audibly generated; and wherein the display device comprises a capacitive touch screen input and display device, and the computerized information and display system is further configured to generate a plurality of interactive hyperlinks displayed on the touch screen input and display device, the plurality of hyperlinks configured to each, when selected by the user, access a universal resource locator (URL) associated with an internet web server, and obtain information from the web server via the wireless network interface for display on the touch screen input and display device. | 89. Computerized information and display apparatus, comprising: a wireless network interface; processing apparatus in data communication with the network interface; a display device; a data interface in data communication with the processing apparatus and configured to transfer data between the computerized information and display apparatus and a portable electronic device placed in data communication with the data interface; and a storage apparatus comprising at least one computer program, said at least one program being configured to, when executed: obtain digitized speech generated based on speech received from a user, the digitized speech relating to a desired action which the user wishes to perform; and cause, based at least in part on the digitized speech, access of a network entity to cause performance of the desired action; wherein the computerized information and display apparatus is further configured to: receive information obtained via the access of the network entity via the wireless network interface; and provide at least a portion of the received information to the portable electronic device via the data interface; wherein the computerized information and display apparatus is disposed within a land- mobile transport device capable of moving between locations, the land-mobile transport device comprising a control apparatus, wherein a user of the land-mobile transport device can provide an input to the control apparatus to cause the land-mobile transport device to substantially automatically move from one location to another without further user input; and wherein the control apparatus is further configured to calculate whether or not the land- mobile transport device should stop at a prescribed location during said substantially automatic movement; wherein the computerized information and display apparatus further comprises speech synthesis apparatus in data communication with the processing apparatus; and wherein the computerized information and display system is further configured to engage the user in an interactive dialogue, the dialogue comprising: (i) the speech is received from the user; (ii) at least one subsequent confirmatory or adaptive response to the speech generated audibly by at least the speech synthesis apparatus, the response based at least in part on the speech; and (iii) at least one subsequent speech input provided by the user after the response is audibly generated; and wherein the display device comprises a capacitive touch screen input and display device, and the computerized information and display system is further configured to generate a plurality of interactive hyperlinks displayed on the touch screen input and display device, the plurality of hyperlinks configured to each, when selected by the user, access a universal resource locator (URL) associated with an internet web server, and obtain information from the web server via the wireless network interface for display on the touch screen input and display device. 94. The computerized information and display apparatus of claim 89 , wherein: the display device comprises a capacitive touch screen input and display device; the wireless network interface comprises an interface compliant with an IEEE 802.11 Standard; the information obtained via the access of the network entity comprises (i) a map image or map graphic showing an organization or entity, the map image or map graphic configured to be displayed on the capacitive touch screen input and display device, the map image or map graphic also showing a plurality of other organizations and entities immediately proximate to the organization or entity, the organization or entity and the other organizations or entities all at least partly disposed within a common building or structure and are rendered within the image or graphic as such, such rendering including at least a portion of an interior of the common building or structure; and (ii) a telephone number for the organization or entity; and the computerized information and display apparatus is further configured to cause generation of a soft function key on the capacitive touch screen input and display device, the soft function key configured to, when selected by the user, cause the provision of the at least a portion of the received information to the portable electronic device via the data interface, the at least a portion of the received information to the portable electronic device via the data interface comprising a telephone number. | 0.58427 |
17. The instrument according to claim 1 , wherein said instrument further comprises a video camera coupled to said instrument body and producing an outgoing video signal. | 17. The instrument according to claim 1 , wherein said instrument further comprises a video camera coupled to said instrument body and producing an outgoing video signal. 18. The instrument according to claim 17 , said instrument further comprising: an image processor adapted to process said outgoing video signal to create at least one derived video control signal, wherein said derived video control signal is adapted to control an electronic music system. | 0.893984 |
5. The method of claim 1 , wherein representing important keywords as features further comprises creating a list of lemmas to represent keywords of interest, and the method further comprises developing a lexicon for the medical condition and building a grammar based on the lexicon, wherein the building of the grammar forms the set of grammar rules. | 5. The method of claim 1 , wherein representing important keywords as features further comprises creating a list of lemmas to represent keywords of interest, and the method further comprises developing a lexicon for the medical condition and building a grammar based on the lexicon, wherein the building of the grammar forms the set of grammar rules. 7. The method of claim 5 , wherein the performing text mining is performed at a time prior to a current time and wherein the method further comprises at the current time applying the grammar rules to one or more new case reports to classify the one or more new case reports as either meeting the medical condition or not meeting the medical condition. | 0.770129 |
1. A system for providing a set of refinement categories for a set of search results generated in response to a search query, comprising: a search engine system for generating a plurality of search results in response to a query; a category identifier system for analyzing each search result and identifies at least one category from a hierarchy of categories for each search result, thereby providing a list of identified categories; a ranking system for ranking each identified category in descending order based on a number of times the category was identified for the plurality of search results; a selection system for selecting an initial set of refinement categories based on the rank-ordering of the identified categories, wherein the initial set of refinement categories contains a plurality of categories, and wherein the number of categories in the initial set of refinement categories is less than the total number of categories identified in the identifying step, wherein the selection system eliminates all categories from the initial set of refinement categories that meet an elimination criterion, wherein the eliminating generates a resulting set of refinement categories, wherein the eliminating further includes eliminating all categories from the initial set of refinement categories that have a hierarchical ancestor in the initial set of refinement categories, wherein, after the eliminating step, generating a final set of refinement categories by adding a new category for each category eliminated during the eliminating step to the resulting set of refinement categories, and wherein the new category is a next highest-ranking category in the rank-ordering of the identified categories that was not in the initial set of refinement categories based on the rank-ordering of the identified categories; a supplemental category system for appending a supplementary category to the final set of refinement categories, wherein the supplementary category provides access to identified categories not in the final set of refinement categories, and wherein selection of the supplementary category causes a new search to be executed using the same search query but with the final set of refinement categories and their children and grandchildren excluded and removing all the children and grandchildren from a current category list; and a display system for displaying the final set of refinement categories and the supplementary category. | 1. A system for providing a set of refinement categories for a set of search results generated in response to a search query, comprising: a search engine system for generating a plurality of search results in response to a query; a category identifier system for analyzing each search result and identifies at least one category from a hierarchy of categories for each search result, thereby providing a list of identified categories; a ranking system for ranking each identified category in descending order based on a number of times the category was identified for the plurality of search results; a selection system for selecting an initial set of refinement categories based on the rank-ordering of the identified categories, wherein the initial set of refinement categories contains a plurality of categories, and wherein the number of categories in the initial set of refinement categories is less than the total number of categories identified in the identifying step, wherein the selection system eliminates all categories from the initial set of refinement categories that meet an elimination criterion, wherein the eliminating generates a resulting set of refinement categories, wherein the eliminating further includes eliminating all categories from the initial set of refinement categories that have a hierarchical ancestor in the initial set of refinement categories, wherein, after the eliminating step, generating a final set of refinement categories by adding a new category for each category eliminated during the eliminating step to the resulting set of refinement categories, and wherein the new category is a next highest-ranking category in the rank-ordering of the identified categories that was not in the initial set of refinement categories based on the rank-ordering of the identified categories; a supplemental category system for appending a supplementary category to the final set of refinement categories, wherein the supplementary category provides access to identified categories not in the final set of refinement categories, and wherein selection of the supplementary category causes a new search to be executed using the same search query but with the final set of refinement categories and their children and grandchildren excluded and removing all the children and grandchildren from a current category list; and a display system for displaying the final set of refinement categories and the supplementary category. 6. The system of claim 1 , where the elimination criterion is based on hierarchical relationship between nodes of a taxonomy in the initial set of refinement categories. | 0.539352 |
12. The method of claim 1 , wherein the computing device executes a plurality of applications, and the interaction object references one or more identified target objects from the plurality of applications. | 12. The method of claim 1 , wherein the computing device executes a plurality of applications, and the interaction object references one or more identified target objects from the plurality of applications. 13. The method of claim 12 , wherein the plurality of applications are executing in a split screen mode on the computing device. | 0.966632 |
1. A print mediator comprising: an interface module which serves as an interface for a document to be submitted for printing by an associated printing infrastructure, the interface module communicating with the associated printing infrastructure for acquiring color rendering information for a print queue of the printing infrastructure which is predicted to be used for printing the document, the print queue including at least one printing device, the acquired color rendering information including information acquired from the at least one printing device; a first reviewing application capable of communicating with the interface module for receiving the acquired color rendering information, the first reviewing application generating a visual representation of a document to be submitted for printing based on the color rendering information communicated by the interface module, the first reviewing application detecting problems relating to color rendering by the printing infrastructure and proposing corrections for the problems to a first user, the first reviewing application being configured for displaying the visual representation on a first display and for receiving, as input, the first user's annotations to the document and for receiving the first user's decision on the proposed corrections, the first user's annotations including a textual description of at least one of a problem observed by the user and a required correction; and at least one of the first reviewing application and a second reviewing application capable of communicating with the interface module for enabling a second user to review the annotated document on a second display after it has been submitted to the interface module, including reviewing the first user's annotations. | 1. A print mediator comprising: an interface module which serves as an interface for a document to be submitted for printing by an associated printing infrastructure, the interface module communicating with the associated printing infrastructure for acquiring color rendering information for a print queue of the printing infrastructure which is predicted to be used for printing the document, the print queue including at least one printing device, the acquired color rendering information including information acquired from the at least one printing device; a first reviewing application capable of communicating with the interface module for receiving the acquired color rendering information, the first reviewing application generating a visual representation of a document to be submitted for printing based on the color rendering information communicated by the interface module, the first reviewing application detecting problems relating to color rendering by the printing infrastructure and proposing corrections for the problems to a first user, the first reviewing application being configured for displaying the visual representation on a first display and for receiving, as input, the first user's annotations to the document and for receiving the first user's decision on the proposed corrections, the first user's annotations including a textual description of at least one of a problem observed by the user and a required correction; and at least one of the first reviewing application and a second reviewing application capable of communicating with the interface module for enabling a second user to review the annotated document on a second display after it has been submitted to the interface module, including reviewing the first user's annotations. 22. The print mediator of claim 1 , wherein the first reviewing application provides for an annotation to be further qualified or quantified by specifying a tolerance and a priority for the correction. | 0.589349 |
13. One or more non-transitory computer-readable storage media comprising a plurality of instructions that in response to being executed cause an augmented reality device to: capture an image; analyze the image to recognize a subject represented in the image and a background item in the image; access a character profile based on the subject; determine, based on the character profile, whether the background item is associated with the subject; determine, based on the character profile and in response to a determination that the background item is associated with the subject, a theme of the image; determine a context associated with the subject based on the image and the background item, wherein the context is related to the theme, wherein to determine the context comprises to classify a type of an accessory object represented in the image that is related to the subject; select a virtual object based on the context of the subject and the background item, wherein the virtual object comprises an accessory object that is composable with the virtual character and is of the same type as the accessory object represented in the image, and wherein to select the virtual object comprises to select the virtual object based on similarity between the virtual object and a feature of the subject; apply the virtual object to a virtual character; and render an augmented reality scene based on the captured image and including the virtual character with the virtual object applied thereto. | 13. One or more non-transitory computer-readable storage media comprising a plurality of instructions that in response to being executed cause an augmented reality device to: capture an image; analyze the image to recognize a subject represented in the image and a background item in the image; access a character profile based on the subject; determine, based on the character profile, whether the background item is associated with the subject; determine, based on the character profile and in response to a determination that the background item is associated with the subject, a theme of the image; determine a context associated with the subject based on the image and the background item, wherein the context is related to the theme, wherein to determine the context comprises to classify a type of an accessory object represented in the image that is related to the subject; select a virtual object based on the context of the subject and the background item, wherein the virtual object comprises an accessory object that is composable with the virtual character and is of the same type as the accessory object represented in the image, and wherein to select the virtual object comprises to select the virtual object based on similarity between the virtual object and a feature of the subject; apply the virtual object to a virtual character; and render an augmented reality scene based on the captured image and including the virtual character with the virtual object applied thereto. 18. The one or more non-transitory computer-readable storage media of claim 13 , wherein to select the virtual object comprises to select a virtual object associated with the theme associated with the subject. | 0.538796 |
14. An image analysis and conversion method, wherein the method is embodied and executed on a processor having memory means, the method comprising: receiving a digital ink image having defined perceptually salient structures; automatically converting the digital ink image into multiple structured object representations of the digital ink image, wherein each of the multiple structured object representations correlates to a perceptually salient structure of the digital ink image; altering at least one of the multiple structured object representations into multiple simultaneously existing structured alternative interpretations of the at least one of the multiple structured object representations; and altering the multiple structured object representations into multiple simultaneously existing structured alternative interpretations of the digital ink image, wherein at least one of the multiple simultaneously existing structured alternative interpretations of the digital ink image includes at least one of the multiple simultaneously existing structured alternative interpretations of the at least one of the multiple structured object representations, wherein each of the multiple simultaneously existing structured alternative interpretations of the digital ink image are plausible intended outputs of a user. | 14. An image analysis and conversion method, wherein the method is embodied and executed on a processor having memory means, the method comprising: receiving a digital ink image having defined perceptually salient structures; automatically converting the digital ink image into multiple structured object representations of the digital ink image, wherein each of the multiple structured object representations correlates to a perceptually salient structure of the digital ink image; altering at least one of the multiple structured object representations into multiple simultaneously existing structured alternative interpretations of the at least one of the multiple structured object representations; and altering the multiple structured object representations into multiple simultaneously existing structured alternative interpretations of the digital ink image, wherein at least one of the multiple simultaneously existing structured alternative interpretations of the digital ink image includes at least one of the multiple simultaneously existing structured alternative interpretations of the at least one of the multiple structured object representations, wherein each of the multiple simultaneously existing structured alternative interpretations of the digital ink image are plausible intended outputs of a user. 19. The image analysis and conversion method according to claim 14 , wherein at least one of the multiple structured object representations includes a curve. | 0.734213 |
9. The system according to claim 8 , wherein the microblog backend server comprises: a microblog message server, a statistical analysis server and a microblog intelligence server, wherein, the microblog message server is configured to store the microblog message published by the user; the statistical analysis server is configured to extract the one or more keyword(s) from the microblog message published by the user according to the preset extracting policy; the microblog intelligence server is configured to: determine the application scene of the user according to the extracted keyword(s), match the application scene with the corresponding prestored help information, obtain and push the matched help information. | 9. The system according to claim 8 , wherein the microblog backend server comprises: a microblog message server, a statistical analysis server and a microblog intelligence server, wherein, the microblog message server is configured to store the microblog message published by the user; the statistical analysis server is configured to extract the one or more keyword(s) from the microblog message published by the user according to the preset extracting policy; the microblog intelligence server is configured to: determine the application scene of the user according to the extracted keyword(s), match the application scene with the corresponding prestored help information, obtain and push the matched help information. 10. The system according to claim 9 , wherein the microblog backend server further comprises: a microblog user server configured to: store basic information of the user; and according to location information or a user ID comprised in a microblog message body of the microblog message, inquiry, obtain and output the stored basic information of the user to the microblog intelligence server to rematch with the help information obtained by the matching. | 0.853064 |
1. A computer-implemented method, comprising: defining, by a computing device, content and associated positional information of a fixed layout markup document with a set of content markup; and generating the fixed layout markup document comprising content markup which specifies the document's content and a location for the content in a document representation; specifying, by the computing device, a structural configuration for the fixed layout markup document relative to at least some of the content markup, the structural configuration including a structural markup generated by the computing device that is maintained separately from, and which references, the content markup, thereby allowing the structural markup to be created either at the same time as the content markup or subsequent to the creation of the content markup without altering the content markup, wherein the structural markup characterizes the content markup in terms of one or more story fragments of a story, the story fragments being portions of the story that appear on an individual fixed page of the fixed layout markup document, wherein the specifying comprises specifying relative inter-relationships of at least some markup elements of the content markup, wherein the specifying relative inter-relationships of the at least some of the markup elements comprises defining inter-relationships between one or more of: sections, paragraphs, tables, figures, and list items, wherein the defining comprises defining a plurality of markup elements of the content markup such that individual markup elements are uniquely identified, and wherein said specifying comprises referencing individual uniquely identified markup elements according to an intended reading order of the fixed layout markup document, and wherein the structural markup is configured to define a structure of individual fixed pages of the fixed layout markup document, and wherein the structural markup is configured to define an overall document structure in one section of the fixed layout markup document and to define a structure of an individual fixed page via an individual fixed page structure section which references the content markup of the individual fixed page. | 1. A computer-implemented method, comprising: defining, by a computing device, content and associated positional information of a fixed layout markup document with a set of content markup; and generating the fixed layout markup document comprising content markup which specifies the document's content and a location for the content in a document representation; specifying, by the computing device, a structural configuration for the fixed layout markup document relative to at least some of the content markup, the structural configuration including a structural markup generated by the computing device that is maintained separately from, and which references, the content markup, thereby allowing the structural markup to be created either at the same time as the content markup or subsequent to the creation of the content markup without altering the content markup, wherein the structural markup characterizes the content markup in terms of one or more story fragments of a story, the story fragments being portions of the story that appear on an individual fixed page of the fixed layout markup document, wherein the specifying comprises specifying relative inter-relationships of at least some markup elements of the content markup, wherein the specifying relative inter-relationships of the at least some of the markup elements comprises defining inter-relationships between one or more of: sections, paragraphs, tables, figures, and list items, wherein the defining comprises defining a plurality of markup elements of the content markup such that individual markup elements are uniquely identified, and wherein said specifying comprises referencing individual uniquely identified markup elements according to an intended reading order of the fixed layout markup document, and wherein the structural markup is configured to define a structure of individual fixed pages of the fixed layout markup document, and wherein the structural markup is configured to define an overall document structure in one section of the fixed layout markup document and to define a structure of an individual fixed page via an individual fixed page structure section which references the content markup of the individual fixed page. 2. The computer-implemented method as recited in claim 1 , wherein the specifying comprises specifying a reading order of markup elements of the content markup. | 0.535773 |
11. A computer program product, comprising a computer readable hardware storage device having computer readable program code stored therein, said hardware storage device not being a signal, said program code containing instructions which, upon being executed by a processor of a computer system, implement a method for processing messages, said method comprising: said processor identifying an action to be subsequently performed on the message; in response to said identifying the action, said processor extracting one or more word objects from the message; said processor deriving a first combination of one or more concepts from the one or more word objects, wherein each concept of the one or more concepts is associated with at least one word object of the one or more word objects, and wherein each word object of the at least one word object is an instance of the associated concept; said processor determining a first interest value associated with the first combination; said processor determining that the first interest value is at least a specified first threshold value; and in response to said determining that the first interest value is at least the specified first threshold value, said processor updating a concept interest dataset, wherein the concept interest dataset prior to being updated comprises a plurality of combinations of at least one concept, wherein each concept of the at least one concept has been derived from a previous processing of messages, and wherein the updated concept interest dataset comprises the first combination and a cumulative interest value that encompasses the first interest value. | 11. A computer program product, comprising a computer readable hardware storage device having computer readable program code stored therein, said hardware storage device not being a signal, said program code containing instructions which, upon being executed by a processor of a computer system, implement a method for processing messages, said method comprising: said processor identifying an action to be subsequently performed on the message; in response to said identifying the action, said processor extracting one or more word objects from the message; said processor deriving a first combination of one or more concepts from the one or more word objects, wherein each concept of the one or more concepts is associated with at least one word object of the one or more word objects, and wherein each word object of the at least one word object is an instance of the associated concept; said processor determining a first interest value associated with the first combination; said processor determining that the first interest value is at least a specified first threshold value; and in response to said determining that the first interest value is at least the specified first threshold value, said processor updating a concept interest dataset, wherein the concept interest dataset prior to being updated comprises a plurality of combinations of at least one concept, wherein each concept of the at least one concept has been derived from a previous processing of messages, and wherein the updated concept interest dataset comprises the first combination and a cumulative interest value that encompasses the first interest value. 14. The computer program product of claim 11 , wherein the plurality of combinations includes the first combination, and wherein the cumulative interest value consists of the first interest value added to a value of the first combination that existed in the concept interest dataset prior to said updating. | 0.616638 |
1. A method for generating a webpage having content based on popular internet search terms, the method comprising: receiving popularity data, the popularity data including a plurality of search terms, each of the search terms having an associated popularity index, the popularity index for a given search term being based upon a measure of a rate of change in a number of search queries for the given search term by a plurality of users; determining if any of the search terms is an approved term by referencing the search terms against a list of approved terms, and if any of the search terms is an approved term, then updating that search term's corresponding entry in the list of approved terms with that search term's associated popularity index; classifying the search terms that are not approved terms, the search terms that are not approved terms defining a set of unclassified search terms, the classifying comprising updating the list of approved terms to include the unclassified search terms and their associated popularity indices; determining the most popular search terms in the updated list of approved search terms based upon the popularity index; and generating a webpage including images associated with each of the most popular search terms, wherein generating the webpage includes displaying the images in predefined image frames of different sizes based on the popularity index of the images' corresponding search terms, wherein images associated with search terms having a higher popularity index are displayed in larger image frames than images associated with search terms having a lower popularity index, and wherein displaying a particular image in one of the predefined image frames includes detecting a subject in the particular image and cropping the particular image based on the detected subject; wherein terms in the list of approved terms which are aliases of each other are organized in parent-child relationships; wherein the classifying further comprises determining if an unclassified term which has been determined to be an approved term is an alias of an existing approved term, and if so, then updating the list of approved terms to associate that unclassified term with the existing approved term in a parent-child relationship. | 1. A method for generating a webpage having content based on popular internet search terms, the method comprising: receiving popularity data, the popularity data including a plurality of search terms, each of the search terms having an associated popularity index, the popularity index for a given search term being based upon a measure of a rate of change in a number of search queries for the given search term by a plurality of users; determining if any of the search terms is an approved term by referencing the search terms against a list of approved terms, and if any of the search terms is an approved term, then updating that search term's corresponding entry in the list of approved terms with that search term's associated popularity index; classifying the search terms that are not approved terms, the search terms that are not approved terms defining a set of unclassified search terms, the classifying comprising updating the list of approved terms to include the unclassified search terms and their associated popularity indices; determining the most popular search terms in the updated list of approved search terms based upon the popularity index; and generating a webpage including images associated with each of the most popular search terms, wherein generating the webpage includes displaying the images in predefined image frames of different sizes based on the popularity index of the images' corresponding search terms, wherein images associated with search terms having a higher popularity index are displayed in larger image frames than images associated with search terms having a lower popularity index, and wherein displaying a particular image in one of the predefined image frames includes detecting a subject in the particular image and cropping the particular image based on the detected subject; wherein terms in the list of approved terms which are aliases of each other are organized in parent-child relationships; wherein the classifying further comprises determining if an unclassified term which has been determined to be an approved term is an alias of an existing approved term, and if so, then updating the list of approved terms to associate that unclassified term with the existing approved term in a parent-child relationship. 4. The method of claim 1 , wherein the generating a webpage further comprises, for a given image included in said webpage, embedding a link to an internet search of the approved term associated with the given image. | 0.90128 |
16. The method of claim 15 , wherein the skill level includes a level based upon an experience timeframe threshold. | 16. The method of claim 15 , wherein the skill level includes a level based upon an experience timeframe threshold. 17. The method of claim 16 , wherein the at least one examination question is based on an experience timeframe threshold. | 0.977197 |
1. A method of identifying at least one solid model having a predetermined similarity to a query model in a knowledge-base storing a plurality of solid models, the method comprising the steps of: comparing an undirected model dependency graph of the query model constructed from a set of features including one or more manufacturing features selected from the group consisting of a shape, a topology, a form, features of a manufacturing process, assembly/mating features, interactions between features which influence process plans and selection of machining operations, and fixtures and feature space of manufacturing operations, with an undirected model dependency graph of at least one of the plurality of solid models constructed from a set of features including one or more manufacturing features selected from the group consisting of a shape, a topology, a form, features of manufacturing process, assembly/mating features, interactions between features which influence process plans and selection of machining operations, and fixtures and feature space of manufacturing operations, to test for the existence of a subgraph isomorphism between the undirected model dependency graphs of the query model and the at least one of the plurality of solid models using Ullmann's algorithm for subgraph isomorphism with a matrix employed by the Ullmann's algorithm being initialized based on an n-region density of nodes in the matrix; if at least one subgraph isomorphism is found in said comparing step, identifying at least one solid model having the subgraph isomorphism; and if no subgraph isomorphism is found in said comparing step, identifying a one model having a large enough common subgraph of the undirected model dependency graph. | 1. A method of identifying at least one solid model having a predetermined similarity to a query model in a knowledge-base storing a plurality of solid models, the method comprising the steps of: comparing an undirected model dependency graph of the query model constructed from a set of features including one or more manufacturing features selected from the group consisting of a shape, a topology, a form, features of a manufacturing process, assembly/mating features, interactions between features which influence process plans and selection of machining operations, and fixtures and feature space of manufacturing operations, with an undirected model dependency graph of at least one of the plurality of solid models constructed from a set of features including one or more manufacturing features selected from the group consisting of a shape, a topology, a form, features of manufacturing process, assembly/mating features, interactions between features which influence process plans and selection of machining operations, and fixtures and feature space of manufacturing operations, to test for the existence of a subgraph isomorphism between the undirected model dependency graphs of the query model and the at least one of the plurality of solid models using Ullmann's algorithm for subgraph isomorphism with a matrix employed by the Ullmann's algorithm being initialized based on an n-region density of nodes in the matrix; if at least one subgraph isomorphism is found in said comparing step, identifying at least one solid model having the subgraph isomorphism; and if no subgraph isomorphism is found in said comparing step, identifying a one model having a large enough common subgraph of the undirected model dependency graph. 5. The method of claim 1 , wherein the step of extracting features comprises extracting features using a feature recognizer. | 0.641327 |
20. A beauty quantification system comprising: a beauty quantification processor; a beauty measure datastore, wherein the beauty measure datastore comprises quantifiable measures of beauty of a plurality of body regions; a beauty score datastore; a user computing device; a network; and a beauty enhancement processor, wherein the beauty quantification processor comprises instructions for: receiving user data indicative of physical attributes of the plurality of body regions of the user; obtaining measures of beauty from the beauty measures datastore associated with each of the plurality of body regions; evaluating the user data against the beauty measures of each of the plurality of body regions; determining a composite user score indicative of the beauty of the user; storing the user score in the beauty score datastore; and comparing the user score to a score stored in the beauty score datastore; and wherein the beauty enhancement processor further comprises instructions for: evaluating each of the plurality of body regions for enhancement; identifying one or more enhancements to apply to each one of the plurality of body regions to improve the user composite score; and determining an enhanced user score indicative of the beauty of the user after application of each of the one or more identified enhancements. | 20. A beauty quantification system comprising: a beauty quantification processor; a beauty measure datastore, wherein the beauty measure datastore comprises quantifiable measures of beauty of a plurality of body regions; a beauty score datastore; a user computing device; a network; and a beauty enhancement processor, wherein the beauty quantification processor comprises instructions for: receiving user data indicative of physical attributes of the plurality of body regions of the user; obtaining measures of beauty from the beauty measures datastore associated with each of the plurality of body regions; evaluating the user data against the beauty measures of each of the plurality of body regions; determining a composite user score indicative of the beauty of the user; storing the user score in the beauty score datastore; and comparing the user score to a score stored in the beauty score datastore; and wherein the beauty enhancement processor further comprises instructions for: evaluating each of the plurality of body regions for enhancement; identifying one or more enhancements to apply to each one of the plurality of body regions to improve the user composite score; and determining an enhanced user score indicative of the beauty of the user after application of each of the one or more identified enhancements. 21. The system of claim 20 , wherein the one or more identified enhancements are selected from the group consisting of adding glasses, removing glasses, adding makeup, changing a makeup color and shade, changing a hair style, adding facial hair, removing facial hair, changing the size of a body part, and changing the shape of a body part. | 0.557406 |
1. A method for filtering messages, the method comprising: receiving a message over a network communication interface; executing instructions stored in memory, the instructions being executed by a processor to: process the received message using one or more reliable classifiers that are associated with a higher level of accuracy than at least one trained classifier from a plurality of available classifiers, wherein the one or more reliable classifiers are associated with a feature count, classify the received message using the one or more reliable classifiers and the feature count, track a feature of the classified message based on the classification, wherein the tracked feature and one or more other tracked features are stored in a table and the feature count accounts for a number of times the tracked feature appeared in the classified message, and process the received message based on the classification, wherein processing of the received message includes blocking the received message when the received message is classified as spam or allowing the received message to be forwarded to a recipient when the message is classified as a good message; receiving a new indication that the message is spam or good, the new indication regarding a different feature count associated with a different feature; updating the trained classifier by updating the feature count in accordance with the different feature count in the new indication; identifying that a subsequently received message is spam based on the updated feature count and a whitelist count, wherein the whitelist count is associated with a number of times that at least one of the feature or the different feature appears in one or more whitelisted messages; and blocking the subsequently received message based on the subsequently received message being classified as spam in accordance with the updated feature count. | 1. A method for filtering messages, the method comprising: receiving a message over a network communication interface; executing instructions stored in memory, the instructions being executed by a processor to: process the received message using one or more reliable classifiers that are associated with a higher level of accuracy than at least one trained classifier from a plurality of available classifiers, wherein the one or more reliable classifiers are associated with a feature count, classify the received message using the one or more reliable classifiers and the feature count, track a feature of the classified message based on the classification, wherein the tracked feature and one or more other tracked features are stored in a table and the feature count accounts for a number of times the tracked feature appeared in the classified message, and process the received message based on the classification, wherein processing of the received message includes blocking the received message when the received message is classified as spam or allowing the received message to be forwarded to a recipient when the message is classified as a good message; receiving a new indication that the message is spam or good, the new indication regarding a different feature count associated with a different feature; updating the trained classifier by updating the feature count in accordance with the different feature count in the new indication; identifying that a subsequently received message is spam based on the updated feature count and a whitelist count, wherein the whitelist count is associated with a number of times that at least one of the feature or the different feature appears in one or more whitelisted messages; and blocking the subsequently received message based on the subsequently received message being classified as spam in accordance with the updated feature count. 14. The method of claim 1 , wherein information associated with the tracked features of classified messages is used, via a classifier, to classify a received message when the one or more reliable classifiers are unable to classify the received message. | 0.500732 |
17. The mechanism of claim 11 wherein each mobile agent object is associated with a group proxy through which such agent communicates with the group. | 17. The mechanism of claim 11 wherein each mobile agent object is associated with a group proxy through which such agent communicates with the group. 18. The mechanism of claim 17 wherein at least one such group proxy re-creates the group by employing the persistent records indicating current state and location for each mobile agent object within such group upon making a determination that the group has prematurely ceased operation. | 0.818134 |
1. An authoring tool, embedded in a non-transitory tangible computer readable medium, the authoring tool including tools for: enabling an author to author and define a presentation of a wrap package by creating a set of cards and defining an order for browsing the set of cards in a first direction, the set of cards including a gallery card arranged to be browsed in a second direction that is perpendicular to the first direction; generating a JavaScript Object Notation (JSON) wrap descriptor that defines the set of cards that constitute the wrap package, the JSON wrap descriptor including a plurality of JSON card descriptors, each JSON card descriptor arranged to define content and a layout within a fixed aspect ratio of an associated one of the cards of the wrap package respectively, each JSON card descriptor further including one or more component descriptors, each component descriptor defining a component container having a relative fixed position within the associated card and arranged to either contain or reference content for the associated card, wherein the JSON wrap descriptor is further configured to be used by a runtime viewer to generate a runtime instance of the wrap package on a consuming computing device, the runtime instance of the wrap package having the same presentation as authored and including the set of cards arranged to be browsed, in response to navigable inputs, in the defined order, wherein the presentation of the wrap package includes: (a) a first subset of non-gallery cards, each non-gallery card having a first fixed aspect ratio and a fixed relative position of the content in each card respectively; and (b) the gallery card having a second fixed aspect ratio that is different than the first fixed aspect ratio and a relative position of the content in the gallery card that is fixed. | 1. An authoring tool, embedded in a non-transitory tangible computer readable medium, the authoring tool including tools for: enabling an author to author and define a presentation of a wrap package by creating a set of cards and defining an order for browsing the set of cards in a first direction, the set of cards including a gallery card arranged to be browsed in a second direction that is perpendicular to the first direction; generating a JavaScript Object Notation (JSON) wrap descriptor that defines the set of cards that constitute the wrap package, the JSON wrap descriptor including a plurality of JSON card descriptors, each JSON card descriptor arranged to define content and a layout within a fixed aspect ratio of an associated one of the cards of the wrap package respectively, each JSON card descriptor further including one or more component descriptors, each component descriptor defining a component container having a relative fixed position within the associated card and arranged to either contain or reference content for the associated card, wherein the JSON wrap descriptor is further configured to be used by a runtime viewer to generate a runtime instance of the wrap package on a consuming computing device, the runtime instance of the wrap package having the same presentation as authored and including the set of cards arranged to be browsed, in response to navigable inputs, in the defined order, wherein the presentation of the wrap package includes: (a) a first subset of non-gallery cards, each non-gallery card having a first fixed aspect ratio and a fixed relative position of the content in each card respectively; and (b) the gallery card having a second fixed aspect ratio that is different than the first fixed aspect ratio and a relative position of the content in the gallery card that is fixed. 11. The authoring tool as recited in claim 1 , further defining an authoring environment for authoring the set of cards of the wrap package, the authoring environment including one or more of the following: (c) a new card tool for creating a new card; (d) a card type selector tool for defining a card type for the new card; (e) an authoring space for authoring a select card among the set of cards of the wrap package; (f) a preview space for previewing the select card as it is authored; and (g) a sequencing tool for defining the order for browsing the set of cards. | 0.569547 |
7. A computer program product comprising a computer readable hardware storage device having computer readable program code stored therein, wherein the computer readable program code upon being executed by a processor of a first computer implements a method for verifying resource content, said method comprising: computing a first characteristic of the content of a resource stored at a second computer coupled to the first computer via a communication infrastructure; creating, in a markup language document, a markup element comprising the computed first characteristic and a resource indicator that references the resource, said markup language document being stored at the first computer; extracting the first characteristic from the markup element in the markup language document that is stored at the first computer; retrieving the resource from the second computer according to the resource indicator; generating a second characteristic of the content of the retrieved resource; ascertaining that the second characteristic is identical to the first characteristic; responsive to said ascertaining, processing the retrieved resource, wherein said generating the second characteristic comprises computing a hash of the content of the retrieved resource according to a particular hash algorithm, wherein said creating the markup element comprises: including the resource indicator in the markup element; computing the first characteristic by computing, according to the particular hash algorithm, a hash of the content of the resource referenced by the resource indicator; and including the computed first characteristic in the markup element, wherein said creating the markup element results in the markup element comprising a first attribute-value pair and a second attribute-value pair, wherein the first attribute-value pair and the second attribute-value pair are within distinct non-overlapping portions of the markup element, wherein the first attribute-value pair comprises both a first attribute denoting the resource indicator and a value pertaining to the first attribute, said value pertaining to the first attribute consisting of a first character string that consists of the resource indicator, wherein the second attribute-value pair comprises both a second attribute denoting the first characteristic and a value pertaining to the second attribute, said value pertaining to the second attribute consisting of a second character string that comprises an identifier of the particular hash algorithm and the generated first characteristic, and wherein the first attribute and the second attribute are different attributes. | 7. A computer program product comprising a computer readable hardware storage device having computer readable program code stored therein, wherein the computer readable program code upon being executed by a processor of a first computer implements a method for verifying resource content, said method comprising: computing a first characteristic of the content of a resource stored at a second computer coupled to the first computer via a communication infrastructure; creating, in a markup language document, a markup element comprising the computed first characteristic and a resource indicator that references the resource, said markup language document being stored at the first computer; extracting the first characteristic from the markup element in the markup language document that is stored at the first computer; retrieving the resource from the second computer according to the resource indicator; generating a second characteristic of the content of the retrieved resource; ascertaining that the second characteristic is identical to the first characteristic; responsive to said ascertaining, processing the retrieved resource, wherein said generating the second characteristic comprises computing a hash of the content of the retrieved resource according to a particular hash algorithm, wherein said creating the markup element comprises: including the resource indicator in the markup element; computing the first characteristic by computing, according to the particular hash algorithm, a hash of the content of the resource referenced by the resource indicator; and including the computed first characteristic in the markup element, wherein said creating the markup element results in the markup element comprising a first attribute-value pair and a second attribute-value pair, wherein the first attribute-value pair and the second attribute-value pair are within distinct non-overlapping portions of the markup element, wherein the first attribute-value pair comprises both a first attribute denoting the resource indicator and a value pertaining to the first attribute, said value pertaining to the first attribute consisting of a first character string that consists of the resource indicator, wherein the second attribute-value pair comprises both a second attribute denoting the first characteristic and a value pertaining to the second attribute, said value pertaining to the second attribute consisting of a second character string that comprises an identifier of the particular hash algorithm and the generated first characteristic, and wherein the first attribute and the second attribute are different attributes. 9. The computer program product of claim 7 , wherein said extracting the first characteristic is performed during performance of said retrieving the resource from the second computer. | 0.546258 |
15. The user interface of claim 12 , further comprising identifying a plurality of input-imprecision traits between the entered-attribute and the resolved-attribute, for each of the plurality of search queries, wherein the plurality of input-imprecision traits are specific systematic traits. | 15. The user interface of claim 12 , further comprising identifying a plurality of input-imprecision traits between the entered-attribute and the resolved-attribute, for each of the plurality of search queries, wherein the plurality of input-imprecision traits are specific systematic traits. 17. The user interface of claim 15 , wherein the input-precision score is one of a plurality of factors associated with the accuracy profile. | 0.937845 |
1. A system for predicting data, comprising: a processor configured to: obtain a name or title from a taste profile; index into a data set based on the name or the title, and retrieve a set of descriptive terms and corresponding term weights associated with the name or the title; construct a sparse vector based on the set of descriptive terms and term weights; identify a target brand or segment of interest; generate a first list of accounts who follow the brand or segment of interest by examining social media data, and a second list of additional entities followed by accounts in the first list; filter the second list through a space mapping that maps entities to names or titles from taste profiles, to generate a subset of test data having a correspondence to the target brand or segment of interest; input the sparse vector to a training model including target data, wherein the target data includes the subset of test data having a correspondence to the target brand or segment of interest and the training model is based on a machine learning from ground truths from a selection of the target data, and output a respective binary value and confidence level for each descriptive term above a threshold, corresponding to an association between the descriptive term and the target brand or segment of interest. | 1. A system for predicting data, comprising: a processor configured to: obtain a name or title from a taste profile; index into a data set based on the name or the title, and retrieve a set of descriptive terms and corresponding term weights associated with the name or the title; construct a sparse vector based on the set of descriptive terms and term weights; identify a target brand or segment of interest; generate a first list of accounts who follow the brand or segment of interest by examining social media data, and a second list of additional entities followed by accounts in the first list; filter the second list through a space mapping that maps entities to names or titles from taste profiles, to generate a subset of test data having a correspondence to the target brand or segment of interest; input the sparse vector to a training model including target data, wherein the target data includes the subset of test data having a correspondence to the target brand or segment of interest and the training model is based on a machine learning from ground truths from a selection of the target data, and output a respective binary value and confidence level for each descriptive term above a threshold, corresponding to an association between the descriptive term and the target brand or segment of interest. 9. The system according to claim 1 , wherein one entity can have multiple taste profiles, or multiple entities can share a single taste profile. | 0.593329 |
4. The computer-implemented method of claim 1 , wherein the algorithmically analyzing is performed using natural language processing techniques. | 4. The computer-implemented method of claim 1 , wherein the algorithmically analyzing is performed using natural language processing techniques. 5. The computer-implemented method of claim 4 , wherein the natural language processing techniques include generating canonical representations of the plurality of ideas. | 0.914151 |
1. A speech application computer system having access to database; comprising: A. a speech recognition (SR) hardware computer system configured to receive an audio input and generate a context-independent semantic tree for semantic data representing a plurality of valid interpretations of said audio input; B. a set of speech application scripts, loaded at the SR hardware computer system and configured to task said SR hardware computer system, said set of application scripts defining a context; C. a semantic tree evaluator program, configured to receive said set of semantic data and said context and, as a function thereof, to generate a linguistic result corresponding to said audio input, and to return said linguistic result to said set of application scripts; and D. a set of reusable object oriented interfaces local to the SR hardware computer system, said interfaces configured to interface said one or more of said set of application scripts with said SR hardware computer system. | 1. A speech application computer system having access to database; comprising: A. a speech recognition (SR) hardware computer system configured to receive an audio input and generate a context-independent semantic tree for semantic data representing a plurality of valid interpretations of said audio input; B. a set of speech application scripts, loaded at the SR hardware computer system and configured to task said SR hardware computer system, said set of application scripts defining a context; C. a semantic tree evaluator program, configured to receive said set of semantic data and said context and, as a function thereof, to generate a linguistic result corresponding to said audio input, and to return said linguistic result to said set of application scripts; and D. a set of reusable object oriented interfaces local to the SR hardware computer system, said interfaces configured to interface said one or more of said set of application scripts with said SR hardware computer system. 2. A system as in claim 1 , wherein one or more of said set of application scripts is implemented on an extended HTML Web page. | 0.952941 |
1. A method comprising: using at least a processor and memory for: receiving identification of a position within a media item residing on an electronic device, wherein receiving identification of the position comprises receiving identification of the position of the media item that is being presented when the media item closes; determining an indication of a time elapsed since the media item was last accessed; retrieving a mapping that maps pre-generated summarization to the position within the media item; generating a content summary for a portion of the media item based on the identified position, the elapsed time, and the pre-generated summarization; and presenting the content summary, wherein generating the content summary comprises: retrieving the pre-generated summarization of the media item; and truncating the pre-generated summarization based on the position within the media item, wherein presenting the content summary comprises presenting the truncated pre-generated summarization. | 1. A method comprising: using at least a processor and memory for: receiving identification of a position within a media item residing on an electronic device, wherein receiving identification of the position comprises receiving identification of the position of the media item that is being presented when the media item closes; determining an indication of a time elapsed since the media item was last accessed; retrieving a mapping that maps pre-generated summarization to the position within the media item; generating a content summary for a portion of the media item based on the identified position, the elapsed time, and the pre-generated summarization; and presenting the content summary, wherein generating the content summary comprises: retrieving the pre-generated summarization of the media item; and truncating the pre-generated summarization based on the position within the media item, wherein presenting the content summary comprises presenting the truncated pre-generated summarization. 20. The method of claim 1 , wherein generating the content summary comprises generating first and second content summaries for the identified position within the media item, wherein the first content summary includes a greater amount of description than the second content summary, wherein the method further comprises receiving input for selecting the first content summary or the second content summary for presentation, and wherein presenting the content summary comprises presenting the selected first or second content summary. | 0.5 |
9. The computer program product of claim 8 , said capturing said semantic metadata comprising: determining whether said received heterogeneous data utilizes a standardized syntax; if having determined that said received heterogeneous data utilizes the standardized syntax, then retrieving from a library a syntactic metadata template corresponding to said syntactic metadata associated with said received heterogeneous data; if having determined that said received heterogeneous data does not utilize the standardized syntax, then receiving at least one syntax response from an end user and storing in said library said at least one syntax response as a unique syntactic metadata template. | 9. The computer program product of claim 8 , said capturing said semantic metadata comprising: determining whether said received heterogeneous data utilizes a standardized syntax; if having determined that said received heterogeneous data utilizes the standardized syntax, then retrieving from a library a syntactic metadata template corresponding to said syntactic metadata associated with said received heterogeneous data; if having determined that said received heterogeneous data does not utilize the standardized syntax, then receiving at least one syntax response from an end user and storing in said library said at least one syntax response as a unique syntactic metadata template. 11. The computer program product of claim 9 , said method further comprising: initiating a data parser to capture both said semantic metadata associated and said syntactic metadata associated with said received heterogeneous data, said capturing utilizing both said semantic metadata template and said syntactic metadata template. | 0.8685 |
1. A method of defining a common interactions protocol between two entities, the method comprising: the method performed by a communication server arranged for: converting syntactic specifications of multiple documents to be passed between the entities, into a skeleton semantic web ontology comprising a set of classes; deriving for each entity a respective set of constraints including semantic constraints established by the entity on aspects of the classes of the skeleton ontology; calculating the union of the two sets of constraints; determining, using a constraint resolver that comprises a description logic reasoner, whether the union is satisfiable, and: where the union is satisfiable, deriving from the intersection of the two sets of constraints a restricted document specification that is compatible with the constraint sets of both entities; and where the union is not satisfiable, indicating where any incompatibility lies. | 1. A method of defining a common interactions protocol between two entities, the method comprising: the method performed by a communication server arranged for: converting syntactic specifications of multiple documents to be passed between the entities, into a skeleton semantic web ontology comprising a set of classes; deriving for each entity a respective set of constraints including semantic constraints established by the entity on aspects of the classes of the skeleton ontology; calculating the union of the two sets of constraints; determining, using a constraint resolver that comprises a description logic reasoner, whether the union is satisfiable, and: where the union is satisfiable, deriving from the intersection of the two sets of constraints a restricted document specification that is compatible with the constraint sets of both entities; and where the union is not satisfiable, indicating where any incompatibility lies. 3. The method according to claim 1 , wherein the restricted document specification comprises both a specification of applicable syntactic constraints and a specification of applicable semantic constraints. | 0.602174 |
1. A computer-implemented method comprising: receiving a raw audio waveform from a user device, where the raw audio waveform is recorded by the user device and contains speech data of a user; providing metadata and the raw audio waveform to a third-party processing system, where the metadata identifies one or more frequency components to be redacted from a frequency representation of the raw audio waveform; directing the third-party processing system to perform an operation on the raw audio waveform, wherein the operation includes: generating the frequency representation of the raw audio waveform, removing the one or more frequency components from the frequency representation that identify the user to produce a modified frequency representation, and generating an anonymized audio waveform from the modified frequency representation, where the third-party processing system is only allowed to perform speech processing on anonymized portions of the raw audio waveform; allowing the third-party processing system to copy elements of the anonymized audio waveform to improve a model employed by the third-party processing system to identify speech within audio waveforms; receiving a textual depiction of speech in the anonymized audio waveform from the third-party processing system; and performing a system operation based on the textual depiction. | 1. A computer-implemented method comprising: receiving a raw audio waveform from a user device, where the raw audio waveform is recorded by the user device and contains speech data of a user; providing metadata and the raw audio waveform to a third-party processing system, where the metadata identifies one or more frequency components to be redacted from a frequency representation of the raw audio waveform; directing the third-party processing system to perform an operation on the raw audio waveform, wherein the operation includes: generating the frequency representation of the raw audio waveform, removing the one or more frequency components from the frequency representation that identify the user to produce a modified frequency representation, and generating an anonymized audio waveform from the modified frequency representation, where the third-party processing system is only allowed to perform speech processing on anonymized portions of the raw audio waveform; allowing the third-party processing system to copy elements of the anonymized audio waveform to improve a model employed by the third-party processing system to identify speech within audio waveforms; receiving a textual depiction of speech in the anonymized audio waveform from the third-party processing system; and performing a system operation based on the textual depiction. 4. The method of claim 1 , wherein the third-party processing system comprises a speech processing software module. | 0.67126 |
6. A wireless communication device comprising: a communication interface to communicate with a web site via an established communication link; a processing circuit configured to: establish the communication link between the communication interface and a network server hosting the web site; automatically detect whether the web site provides a search engine based on data received from the web site; and configure a browser application executing on the wireless communication device to perform a search using the detected search engine; a user interface to display the results of the search; and wherein the processing circuit is configured to automatically detect whether the data received from the web site includes an embedded indicator, and wherein the embedded indicator comprises meta data received from the web site via the established communication link, and identifies a file that defines the search capabilities of the detected search engine. | 6. A wireless communication device comprising: a communication interface to communicate with a web site via an established communication link; a processing circuit configured to: establish the communication link between the communication interface and a network server hosting the web site; automatically detect whether the web site provides a search engine based on data received from the web site; and configure a browser application executing on the wireless communication device to perform a search using the detected search engine; a user interface to display the results of the search; and wherein the processing circuit is configured to automatically detect whether the data received from the web site includes an embedded indicator, and wherein the embedded indicator comprises meta data received from the web site via the established communication link, and identifies a file that defines the search capabilities of the detected search engine. 8. The device of claim 6 wherein the processing circuit is configured to: receive user input at an input field of the browser application; generate a message to include the user input as one or more search parameters; send the message to the detected search engine at the web site; and receive the results of the search at the wireless communication device. | 0.56294 |
8. A non-transitory computer-readable storage medium storing one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform: a database server receiving a certain query, wherein said certain query references a view; in response to receiving said certain auery said database server: determining whether or not to defer a XML rewrite of a certain query until after performing a view merge of said certain query; in response to determining to defer said XML rewrite of said certain query: performing a view merge of said certain query; and subsequent to performing said view merge of said certain query, performing said XML rewrite of said certain query; in response to determining not to defer said XML rewrite of said certain query, performing said XML rewrite; and subsequent to performing said XML rewrite, performing said view merge of said certain query; and executing said certain query. | 8. A non-transitory computer-readable storage medium storing one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform: a database server receiving a certain query, wherein said certain query references a view; in response to receiving said certain auery said database server: determining whether or not to defer a XML rewrite of a certain query until after performing a view merge of said certain query; in response to determining to defer said XML rewrite of said certain query: performing a view merge of said certain query; and subsequent to performing said view merge of said certain query, performing said XML rewrite of said certain query; in response to determining not to defer said XML rewrite of said certain query, performing said XML rewrite; and subsequent to performing said XML rewrite, performing said view merge of said certain query; and executing said certain query. 13. The non-transitory computer-readable storage medium of claim 8 , wherein the view returns relational scalar attributes generated from a XML source. | 0.625882 |
1. A method to facilitate network-based commerce, the method including: generating a map file storing a first plurality of records, the first plurality of records respectively storing summarizing information for a first plurality of offerings, the first plurality of offerings including a second plurality of offerings, the first plurality of records including a second plurality of records, the second plurality of records respectively storing summarizing information for the second plurality of offerings, the second plurality of records grouped to facilitate a reduction in processing to retrieve the second plurality of records, the generating being performed by a server machine of a network-based commerce facility; receiving a request from a user; determining a site that the user accesses, the site being one of multiple sites operated by the network-based commerce facility; retrieving a category list available for the site and retrieving the second plurality of records from the map file, the second plurality of records associated with the second plurality of offerings, the retrieving responsive to receiving the request, the category list identifying categories of the second plurality of offerings available via the site that the user accesses; and communicating the category list to the user, the category list including offering categories including the second plurality of offerings including a first offering available for sale via the network-based commerce facility in a location including a particular region, the first offering including a listing currency and a native currency that is associated with the particular region. | 1. A method to facilitate network-based commerce, the method including: generating a map file storing a first plurality of records, the first plurality of records respectively storing summarizing information for a first plurality of offerings, the first plurality of offerings including a second plurality of offerings, the first plurality of records including a second plurality of records, the second plurality of records respectively storing summarizing information for the second plurality of offerings, the second plurality of records grouped to facilitate a reduction in processing to retrieve the second plurality of records, the generating being performed by a server machine of a network-based commerce facility; receiving a request from a user; determining a site that the user accesses, the site being one of multiple sites operated by the network-based commerce facility; retrieving a category list available for the site and retrieving the second plurality of records from the map file, the second plurality of records associated with the second plurality of offerings, the retrieving responsive to receiving the request, the category list identifying categories of the second plurality of offerings available via the site that the user accesses; and communicating the category list to the user, the category list including offering categories including the second plurality of offerings including a first offering available for sale via the network-based commerce facility in a location including a particular region, the first offering including a listing currency and a native currency that is associated with the particular region. 4. The method of claim 1 wherein the determining of the site that the user accesses includes parsing a uniform resource locator. | 0.610773 |
10. A computing device to filter views with a predefined query, the computing device comprising: a memory configured to store instructions; and a processor coupled to the memory, the processor executing an application in conjunction with the instructions stored in the memory, wherein the application is configured to: determine at least one view to provide to a user based on access privileges associated with the user; determine one or more additional views to provide to the user based on a common element determined between the at least one view and the one or more additional views; provide the at least one view and the one or more additional views to the user through a user interface for configuration of a filter query, wherein the user is enabled to edit the filter query; receive the filter query from the user; receive a view from the user; and disable the filter query in response to a detection of the user editing the filter query to include views and structures unrelated to the view received; else combine the filter query and the view to generate a filtered view result in place of an original view result; associate the filter query with the view received from the user such that the view is filtered when the user requests data from the view; and provide the filtered view result to one or more other users seeking access to a corresponding view, wherein the filtered view is provided to the one or more other users with inherited permissions from the user. | 10. A computing device to filter views with a predefined query, the computing device comprising: a memory configured to store instructions; and a processor coupled to the memory, the processor executing an application in conjunction with the instructions stored in the memory, wherein the application is configured to: determine at least one view to provide to a user based on access privileges associated with the user; determine one or more additional views to provide to the user based on a common element determined between the at least one view and the one or more additional views; provide the at least one view and the one or more additional views to the user through a user interface for configuration of a filter query, wherein the user is enabled to edit the filter query; receive the filter query from the user; receive a view from the user; and disable the filter query in response to a detection of the user editing the filter query to include views and structures unrelated to the view received; else combine the filter query and the view to generate a filtered view result in place of an original view result; associate the filter query with the view received from the user such that the view is filtered when the user requests data from the view; and provide the filtered view result to one or more other users seeking access to a corresponding view, wherein the filtered view is provided to the one or more other users with inherited permissions from the user. 11. The computing device of claim 10 , wherein the application is further configured to: apply the filter query for other views that are associated with the original view through at least one of a direct relationship and an indirect relationship recursively. | 0.50472 |
13. The computerized method of claim 9 , wherein performing statistical machine translation of a translation input includes translating between each of a plurality of language pairs, each language pair having a source language and a target language; wherein the monolingual parallel corpus is one of a plurality of monolingual parallel corpora that the phrasal decoder is trained on, each of the monolingual parallel corpora being for a target language in one of the language pairs, and each of the monolingual parallel corpora including a machine translation output and a corresponding target human translation output; and wherein the target human translation output for each monolingual parallel corpora is from a corresponding bilingual parallel corpus for one of the language pairs. | 13. The computerized method of claim 9 , wherein performing statistical machine translation of a translation input includes translating between each of a plurality of language pairs, each language pair having a source language and a target language; wherein the monolingual parallel corpus is one of a plurality of monolingual parallel corpora that the phrasal decoder is trained on, each of the monolingual parallel corpora being for a target language in one of the language pairs, and each of the monolingual parallel corpora including a machine translation output and a corresponding target human translation output; and wherein the target human translation output for each monolingual parallel corpora is from a corresponding bilingual parallel corpus for one of the language pairs. 14. The computerized method of claim 13 , wherein translating between each of the language pairs includes translating between each of a plurality of typologically different language pairs. | 0.831067 |
32. The non-transitory computer-readable medium of claim 19 , wherein the user device includes an app associated with the third party server. | 32. The non-transitory computer-readable medium of claim 19 , wherein the user device includes an app associated with the third party server. 35. The non-transitory computer-readable medium of claim 32 wherein a user selection of one of the one or more user interface components corresponding to the one or more actionable options causes a corresponding action request to be processed by a second app on the user device. | 0.919634 |
7. The method as claimed in claim 1 , further comprising: activating a client application for displaying the content of the document. | 7. The method as claimed in claim 1 , further comprising: activating a client application for displaying the content of the document. 9. The method as claimed in claim 7 , wherein when the touch event is detected, further comprises: extracting the touch coordinates of the touch event. | 0.957207 |
1. A computer-implemented method comprising: identifying, using one or more processors, a creative for processing, the creative including a title portion, a body portion and optionally a reference portion, wherein the title portion constitutes a first line of text, and the body portion includes second and third lines of text; evaluating the body portion including determining when the body portion includes one or more words that can be added to the title portion, wherein evaluating the body portion includes evaluating either or both of the second and the third line of text to identify the one or more words; promoting, using the one or more processors, the one or more words into the title portion; and providing the creative including the title portion with the promoted one or more words. | 1. A computer-implemented method comprising: identifying, using one or more processors, a creative for processing, the creative including a title portion, a body portion and optionally a reference portion, wherein the title portion constitutes a first line of text, and the body portion includes second and third lines of text; evaluating the body portion including determining when the body portion includes one or more words that can be added to the title portion, wherein evaluating the body portion includes evaluating either or both of the second and the third line of text to identify the one or more words; promoting, using the one or more processors, the one or more words into the title portion; and providing the creative including the title portion with the promoted one or more words. 7. The method of claim 1 wherein promoting the one or more words into the title portion includes appending the one or more words to the end of the title portion. | 0.648885 |
10. The system of claim 1 wherein at least some of the transition elements include at least one transition element comprising an associated trigger, the presence of which during run-time causes operation of the application program to transition from one state connected to the corresponding transition element to another state connected to the corresponding transition element. | 10. The system of claim 1 wherein at least some of the transition elements include at least one transition element comprising an associated trigger, the presence of which during run-time causes operation of the application program to transition from one state connected to the corresponding transition element to another state connected to the corresponding transition element. 11. The system of claim 10 wherein the editor windows include a trigger editor window that enables the technician to configure characteristics of the triggers. | 0.961698 |
1. A computer-implemented method for searching a hierarchical database structure of a database management system, the method comprising: detecting, by a processor, text input in a database search field of a graphical user interface of a computer system, wherein the text input defines a search for data in the hierarchical database structure, wherein the hierarchical database structure includes items, indexes for looking up data in the hierarchical database structure, and database schemas defining databases in the hierarchical database structure, and wherein the items include one or more of actions to be performed on data in the hierarchical database structure; if the text input does not include text specifying a path in the hierarchical database structure, determining, by the processor, that there is no exact match between the text input and items in the hierarchical database; selecting, by the processor, items for presentation on the graphical user interface from the hierarchical database structure based on the text input for inclusion in search results, wherein the text input includes one or more keywords specifying one or more filters to be applied to during selection of items in the hierarchical database structure, wherein the one or more filters include one or more filters to exclude views, sequences or stored procedures; in response to the determining that there is no exact match between the text input and items in the hierarchical database, presenting, by the processor, the search results in the graphical user interface on a display device, the search results comprising items in the hierarchical database that are potentially related to the text input, wherein an entry for an item in the search results includes at least one lexicographically related identifier for a table name corresponding to an item in the search results and a logically related selectable option associated with a table corresponding to the table name, wherein the logically related selectable option comprises an action to be performed with respect to the table, the action including at least one of drop table, view data, query and view hierarchy for altering the table from the hierarchical database structure; and detecting input representing a user's selection of the logically related selectable option. | 1. A computer-implemented method for searching a hierarchical database structure of a database management system, the method comprising: detecting, by a processor, text input in a database search field of a graphical user interface of a computer system, wherein the text input defines a search for data in the hierarchical database structure, wherein the hierarchical database structure includes items, indexes for looking up data in the hierarchical database structure, and database schemas defining databases in the hierarchical database structure, and wherein the items include one or more of actions to be performed on data in the hierarchical database structure; if the text input does not include text specifying a path in the hierarchical database structure, determining, by the processor, that there is no exact match between the text input and items in the hierarchical database; selecting, by the processor, items for presentation on the graphical user interface from the hierarchical database structure based on the text input for inclusion in search results, wherein the text input includes one or more keywords specifying one or more filters to be applied to during selection of items in the hierarchical database structure, wherein the one or more filters include one or more filters to exclude views, sequences or stored procedures; in response to the determining that there is no exact match between the text input and items in the hierarchical database, presenting, by the processor, the search results in the graphical user interface on a display device, the search results comprising items in the hierarchical database that are potentially related to the text input, wherein an entry for an item in the search results includes at least one lexicographically related identifier for a table name corresponding to an item in the search results and a logically related selectable option associated with a table corresponding to the table name, wherein the logically related selectable option comprises an action to be performed with respect to the table, the action including at least one of drop table, view data, query and view hierarchy for altering the table from the hierarchical database structure; and detecting input representing a user's selection of the logically related selectable option. 3. The method of claim 1 further comprising: detecting that the text input defines a path to another one of the items in the hierarchical database structure; accessing the other one of the items by traversing the path in the hierarchical database structure; and presenting, in the graphical user interface, data associated with the one of the items. | 0.789916 |
15. At least one computer storage media that is not a signal per se, the computer storage media comprising: memory that comprises computer-executable instructions that, based on execution by a computing device, configure the computing device to: match an audio rendition to an audio recording based on alignment of pitch contours of the audio rendition and a portion of the audio recording, and further based on similarities between pitch intervals and durations of notes of the aligned audio rendition and the aligned portion, where the pitch contours each indicate any variation in pitch of a note of the notes relative to a previous note of the notes, where the pitch intervals each indicate a frequency of the note, and where the durations each indicate a length in time of the note; and add, by the computing device based on a weighting of the portion of the matched audio recording, the matched audio recording to a selection set. | 15. At least one computer storage media that is not a signal per se, the computer storage media comprising: memory that comprises computer-executable instructions that, based on execution by a computing device, configure the computing device to: match an audio rendition to an audio recording based on alignment of pitch contours of the audio rendition and a portion of the audio recording, and further based on similarities between pitch intervals and durations of notes of the aligned audio rendition and the aligned portion, where the pitch contours each indicate any variation in pitch of a note of the notes relative to a previous note of the notes, where the pitch intervals each indicate a frequency of the note, and where the durations each indicate a length in time of the note; and add, by the computing device based on a weighting of the portion of the matched audio recording, the matched audio recording to a selection set. 17. The at least one computer storage media that is not a signal per se of claim 15 where the audio rendition is in response to a prompt. | 0.562273 |
10. The computer-implemented method of claim 8 , wherein the data generator is to: search the Web activity data to identify Websites at which the target search term occurs. | 10. The computer-implemented method of claim 8 , wherein the data generator is to: search the Web activity data to identify Websites at which the target search term occurs. 11. The computer-implemented method of claim 10 , wherein the data generator is to: count the number of times that the target search term occurs at each of the Websites; and rank the Websites based, at least in part, on the count. | 0.905791 |
9. A method for generating base forms for non-native language in a speech-based system for processing a native language, the method comprising acts performed by at least one processor, of: receiving input textual data containing both native language and non-native language words; identifying the native language and non-native language words within the textual data; tagging the native language words with a tag indicating that the words belong to the native language and tagging the non-native language words with a tag indicating that the words belong to the non-native language; generating, by the at least one processor, a native phonetic transcription of the native language words using phonetic units of the native language; generating a non-native phonetic transcription of the non-native language words using phonetic units of the non-native language; generating a native pronunciation of the non-native language words using phonetic units of the native language by mapping the phonetic units of the non-native phonetic transcription to acoustically similar phonetic units of the native language; and storing the input textual data with the corresponding native phonetic transcription of the native language words and the mapped native pronunciation of the non-native language words in a native phonetic lexicon. | 9. A method for generating base forms for non-native language in a speech-based system for processing a native language, the method comprising acts performed by at least one processor, of: receiving input textual data containing both native language and non-native language words; identifying the native language and non-native language words within the textual data; tagging the native language words with a tag indicating that the words belong to the native language and tagging the non-native language words with a tag indicating that the words belong to the non-native language; generating, by the at least one processor, a native phonetic transcription of the native language words using phonetic units of the native language; generating a non-native phonetic transcription of the non-native language words using phonetic units of the non-native language; generating a native pronunciation of the non-native language words using phonetic units of the native language by mapping the phonetic units of the non-native phonetic transcription to acoustically similar phonetic units of the native language; and storing the input textual data with the corresponding native phonetic transcription of the native language words and the mapped native pronunciation of the non-native language words in a native phonetic lexicon. 11. The method of claim 9 further comprising an act of identifying the native language and non-native language words based, at least in part, on at least one of letter-sequences and accented characters. | 0.534018 |
2. A document construction system as defined in claim 1 further comprising means for queuing parts of a logical stream related to a referent scopes. | 2. A document construction system as defined in claim 1 further comprising means for queuing parts of a logical stream related to a referent scopes. 3. A document construction system as defined in claim 2 further comprising means for resolving a plurality of parts of a logical stream related to different referent scopes. | 0.920693 |
11. A system for annotating a stimulus comprising: an image capture device; and a computer coupled to the image capture device, wherein the computer executes an annotation generation module that interacts with the image capture device, and wherein the annotation generation module comprises logic for performing the steps of: detecting a plurality of facial expressions in an audience of the stimulus; interpreting the facial expressions to estimate a mood for a time period of the stimulus, wherein interpreting the facial expressions comprises: classifying each of the facial expressions as corresponding to an emotion from a set of emotions; and statistically analyzing the respective emotions corresponding to the plurality of facial expressions to estimate the mood; generating an annotation of the stimulus based on the mood estimated; repeating the measuring, interpreting, and generating steps to produce a plurality of the annotations that respectively correspond to different time periods of the stimulus; and indexing the annotations according to the respective moods, wherein the indexing provides a two-way linkage between the annotations and the time periods of the stimulus. | 11. A system for annotating a stimulus comprising: an image capture device; and a computer coupled to the image capture device, wherein the computer executes an annotation generation module that interacts with the image capture device, and wherein the annotation generation module comprises logic for performing the steps of: detecting a plurality of facial expressions in an audience of the stimulus; interpreting the facial expressions to estimate a mood for a time period of the stimulus, wherein interpreting the facial expressions comprises: classifying each of the facial expressions as corresponding to an emotion from a set of emotions; and statistically analyzing the respective emotions corresponding to the plurality of facial expressions to estimate the mood; generating an annotation of the stimulus based on the mood estimated; repeating the measuring, interpreting, and generating steps to produce a plurality of the annotations that respectively correspond to different time periods of the stimulus; and indexing the annotations according to the respective moods, wherein the indexing provides a two-way linkage between the annotations and the time periods of the stimulus. 12. The system of claim 11 , further comprising a display that presents at least a portion of the stimulus to the audience. | 0.629969 |
1. A system, comprising: a processor readable storage hardware device; a user interface; and a processor coupled to the processor readable hardware storage device and to the user interface, wherein the processor readable hardware storage device includes instructions that cause the processor to: execute a sequential application program comprising a data parallel portion that includes an expression, wherein the application is written in a high-level language and comprises both imperative operations and declarative operations; access the expression from a portion of the sequential application program that comprises a declarative operation; based on the expression, automatically generate an execution plan graph, the execution plan graph including a directed graph having vertices that represent processes and edges between the vertices that represent data channels, the execution plan graph for executing the expression in parallel at nodes of a compute cluster, including causing the processor to break the expression into a plurality of sub-expressions, each of the sub-expressions is a vertex in the directed graph; automatically generate vertex code for the vertices of the execution plan graph; automatically generate serialization code that allows data to be passed in the data channels between the vertices; provide the execution plan graph, the serialization code, and the vertex code to an execution engine of the compute cluster that manages parallel execution of the expression in the compute cluster based on the execution plan graph, the serialization code, and the vertex code; receive results of executing the execution plan graph in the compute cluster; and execute a portion of the sequential application program that comprises an imperative operation to present the results in the user interface. | 1. A system, comprising: a processor readable storage hardware device; a user interface; and a processor coupled to the processor readable hardware storage device and to the user interface, wherein the processor readable hardware storage device includes instructions that cause the processor to: execute a sequential application program comprising a data parallel portion that includes an expression, wherein the application is written in a high-level language and comprises both imperative operations and declarative operations; access the expression from a portion of the sequential application program that comprises a declarative operation; based on the expression, automatically generate an execution plan graph, the execution plan graph including a directed graph having vertices that represent processes and edges between the vertices that represent data channels, the execution plan graph for executing the expression in parallel at nodes of a compute cluster, including causing the processor to break the expression into a plurality of sub-expressions, each of the sub-expressions is a vertex in the directed graph; automatically generate vertex code for the vertices of the execution plan graph; automatically generate serialization code that allows data to be passed in the data channels between the vertices; provide the execution plan graph, the serialization code, and the vertex code to an execution engine of the compute cluster that manages parallel execution of the expression in the compute cluster based on the execution plan graph, the serialization code, and the vertex code; receive results of executing the execution plan graph in the compute cluster; and execute a portion of the sequential application program that comprises an imperative operation to present the results in the user interface. 3. The system of claim 1 , wherein: the processor further generates callback code for optimizing execution in the compute cluster and provides the callback code to the execution engine of the compute cluster. | 0.565517 |
1. A construction method for a speech recognition model, comprising the steps, executed by a computer system, of: acquiring alignment between speech of each of a plurality of speakers and a transcript of the speaker; automatically joining transcripts of the respective ones of the plurality of speakers along a time axis, creating a transcript of speech of mixed speakers obtained from synthesized speech of the speakers, and replacing predetermined transcribed portions of the plurality of speakers overlapping on the time axis with a unit which represents a simultaneous speech segment; and constructing at least one of an acoustic model and a language model which make up a speech recognition model, based on the transcript of the speech of the mixed speakers. | 1. A construction method for a speech recognition model, comprising the steps, executed by a computer system, of: acquiring alignment between speech of each of a plurality of speakers and a transcript of the speaker; automatically joining transcripts of the respective ones of the plurality of speakers along a time axis, creating a transcript of speech of mixed speakers obtained from synthesized speech of the speakers, and replacing predetermined transcribed portions of the plurality of speakers overlapping on the time axis with a unit which represents a simultaneous speech segment; and constructing at least one of an acoustic model and a language model which make up a speech recognition model, based on the transcript of the speech of the mixed speakers. 9. The construction method according to claim 1 , further comprising a step, executed by the computer, of forming a language model configured to contain a language unit which represents the simultaneous speech segment and make up the speech recognition model, assuming that simultaneous speech occurs according to a predetermined rule. | 0.668841 |
21. The method of claim 18 , further comprising: receiving at least one of location information and time information associated with the input sound model from the client device, wherein the server database comprises information corresponding to at least one of a location and a time associated with each of the plurality of sound models. | 21. The method of claim 18 , further comprising: receiving at least one of location information and time information associated with the input sound model from the client device, wherein the server database comprises information corresponding to at least one of a location and a time associated with each of the plurality of sound models. 24. The method of claim 21 , further comprising, if the confidence level of the second label is less than the second confidence threshold: providing the client device with the indication of the failure in recognizing the input environmental sound; identifying a set of the one or more sound models with information corresponding to at least one of a first location and a first time that match the at least one of the location information and the time information; identifying a first sound model having a greatest similarity to the input sound model from the set; and if the similarity between the input sound model and the first sound model is greater than or equal to a similarity threshold, merging the input sound model and the first sound model in the server database. | 0.70574 |
11. A system for automatically identifying semi-structured data from a semi-structured web site by executing instructions stored in a computer-readable memory by a computer processor, the system comprising: means for analyzing links and pages on the semi-structured web site using a set of heterogeneous experts, each of the experts focusing on a respective type of structure included in the semi-structured web site; means for identifying, by the set of experts, similarities and dissimilarities between the analyzed links and pages; means for clustering pages and text segments based on the similarities and dissimilarities identified by at least two experts in the set of heterogeneous experts, wherein each of the at least two experts produces hints indicating whether two items should be together in a cluster, the hints containing respective levels of confidence; and wherein the clustering of text segments comprises: finding page clusters; determining a set of text segments for each of the found pare clusters; and clustering text segments of the set of text segments; means for identifying, based on the clustering of pages and text segments, at least some of the semi-structured data to be extracted from the semi-structured web site; means for extracting the at least some of the identified semi-structured data; and means for transforming the extracted semi-structured data into a relational structured form. | 11. A system for automatically identifying semi-structured data from a semi-structured web site by executing instructions stored in a computer-readable memory by a computer processor, the system comprising: means for analyzing links and pages on the semi-structured web site using a set of heterogeneous experts, each of the experts focusing on a respective type of structure included in the semi-structured web site; means for identifying, by the set of experts, similarities and dissimilarities between the analyzed links and pages; means for clustering pages and text segments based on the similarities and dissimilarities identified by at least two experts in the set of heterogeneous experts, wherein each of the at least two experts produces hints indicating whether two items should be together in a cluster, the hints containing respective levels of confidence; and wherein the clustering of text segments comprises: finding page clusters; determining a set of text segments for each of the found pare clusters; and clustering text segments of the set of text segments; means for identifying, based on the clustering of pages and text segments, at least some of the semi-structured data to be extracted from the semi-structured web site; means for extracting the at least some of the identified semi-structured data; and means for transforming the extracted semi-structured data into a relational structured form. 12. The system of claim 11 , further comprising means for evaluating a probability of a clustering based on the hints to determine a quality of the clustering. | 0.505577 |
3. The method of claim 2 , wherein the adjusting step adjusts the frameset so that the frames are displayed in a vertically stacked arrangement, each frame extending across the available display width. | 3. The method of claim 2 , wherein the adjusting step adjusts the frameset so that the frames are displayed in a vertically stacked arrangement, each frame extending across the available display width. 4. The method according to claim 3 , wherein an available screen height is defined for the frameset in the display screen, when a height of the vertically stacked arrangement exceeds the available screen height, a vertical scrollbar is displayed in connection with the frameset, in order to allow the entire contents of the frameset to be viewed. | 0.89741 |
12. The apparatus of claim 11 , wherein a diversity of the user's reading habits is determined by the processor based on a minimum threshold number of categories in which the user is a frequent consumer of information. | 12. The apparatus of claim 11 , wherein a diversity of the user's reading habits is determined by the processor based on a minimum threshold number of categories in which the user is a frequent consumer of information. 13. The apparatus of claim 12 , further comprising: determining logic, executed by the processor, to determine the frequency of the user's consumption of information based on a number of content items consumed by the user in each of the content categories. | 0.940147 |
1. An activity recognition system comprising: an activity database configured to store similarity scoring techniques for known activity graphs, each of the similarity scoring techniques being associated with activity ingestion metadata; and an activity recognition device coupled with the activity database and configured to: generate a plurality of temporal features from a digital representation of an observed activity using a feature detection algorithm; establish an observed activity graph comprising one or more clusters of temporal features generated from the digital representation, wherein each one of the one or more clusters of temporal features defines a node of the observed activity graph; select at least one contextually relevant scoring technique from the similarity scoring techniques for known activity graphs, the at least one contextually relevant scoring technique being associated with activity ingestion metadata that satisfies device context criteria defined based on device contextual attributes of the digital representation; and calculate a similarity activity score for the observed activity graph as a function of the at least one contextually relevant scoring technique, the similarity activity score being relative to at least one known activity graph. | 1. An activity recognition system comprising: an activity database configured to store similarity scoring techniques for known activity graphs, each of the similarity scoring techniques being associated with activity ingestion metadata; and an activity recognition device coupled with the activity database and configured to: generate a plurality of temporal features from a digital representation of an observed activity using a feature detection algorithm; establish an observed activity graph comprising one or more clusters of temporal features generated from the digital representation, wherein each one of the one or more clusters of temporal features defines a node of the observed activity graph; select at least one contextually relevant scoring technique from the similarity scoring techniques for known activity graphs, the at least one contextually relevant scoring technique being associated with activity ingestion metadata that satisfies device context criteria defined based on device contextual attributes of the digital representation; and calculate a similarity activity score for the observed activity graph as a function of the at least one contextually relevant scoring technique, the similarity activity score being relative to at least one known activity graph. 8. The system of claim 1 , wherein the activity ingestion metadata comprises object attributes. | 0.651466 |
1. A method for generating an operational rule associated with a building management system, comprising: identifying, with a processing device, a first pattern associated with a series of operational observations corresponding to a property of the building management system, and identifying a second pattern associated with the series of operational observations; correlating a first contextual attribute with the first pattern, and correlating a second contextual attribute with the second pattern, wherein the first pattern is based on a first resolution and the second pattern is based on a second resolution; and deriving the operational rule at least in part based on the first pattern and the first contextual attribute, and the second pattern and the second contextual attribute. | 1. A method for generating an operational rule associated with a building management system, comprising: identifying, with a processing device, a first pattern associated with a series of operational observations corresponding to a property of the building management system, and identifying a second pattern associated with the series of operational observations; correlating a first contextual attribute with the first pattern, and correlating a second contextual attribute with the second pattern, wherein the first pattern is based on a first resolution and the second pattern is based on a second resolution; and deriving the operational rule at least in part based on the first pattern and the first contextual attribute, and the second pattern and the second contextual attribute. 11. The method of claim 1 , wherein deriving the operational rule further comprises applying a constraint to the first pattern or to the first contextual attribute. | 0.524444 |
56. The method of claim 50 , further comprising: associating the graphical document under evaluation with one or more keywords; and receiving an advertisement request associated with a concept, and serve the graphical document under evaluation after the distribution approval is granted based on a correlation between the concept and the one or more keywords. | 56. The method of claim 50 , further comprising: associating the graphical document under evaluation with one or more keywords; and receiving an advertisement request associated with a concept, and serve the graphical document under evaluation after the distribution approval is granted based on a correlation between the concept and the one or more keywords. 57. The method of claim 56 , wherein the advertisement request includes a search query. | 0.922078 |
1. A method for managing an Extensible Markup Language (XML) Document Management (XDM) Server history, the method comprising the steps of: receiving, by the XDM Server, XML Documents and Filtering Rules within a filter body in an XCAP request from a first XDM Client Device, wherein the Filtering Rules define operation information performed on specific XML Documents to store as history information and further define when to store the history information of the XML Documents; storing the XML Documents and the Filtering Rules on the XDM Server; and when a second XDM Client Device has access to perform one or more operations on the XML Documents stored in the XDM Server, storing, by the XDM Server, the history information of the XML Documents according to the Filtering Rules by the XDM Server and the one or more operations performed. | 1. A method for managing an Extensible Markup Language (XML) Document Management (XDM) Server history, the method comprising the steps of: receiving, by the XDM Server, XML Documents and Filtering Rules within a filter body in an XCAP request from a first XDM Client Device, wherein the Filtering Rules define operation information performed on specific XML Documents to store as history information and further define when to store the history information of the XML Documents; storing the XML Documents and the Filtering Rules on the XDM Server; and when a second XDM Client Device has access to perform one or more operations on the XML Documents stored in the XDM Server, storing, by the XDM Server, the history information of the XML Documents according to the Filtering Rules by the XDM Server and the one or more operations performed. 3. The method for managing an XDM Server history as claimed in claim 1 , wherein performing one or more operations on the XML Documents stored in the XDM Server comprises at least one operation of creating, updating, changing, deleting, searching, or retrieving by the second XDM Client Device. | 0.620447 |
10. A computer system comprising at least one processor, at least one memory operatively associated with the at least one processor, at least one application able to open an electronic document, and at least one embedding module executable on the at least one processor, the at least one embedding module programmed to: determine that an electronic document has been opened; determine at least two document history parameters to be encrypted and embedded, wherein at least one of the two document history parameters is associated with a unique identifier for the computer and at least another of the two document history parameters is associated with an identity of a user of the computer; store the at least two document history parameters in the electronic document using visual and digital steganography within apparent blanks in the document in which both visual and digital steganography are hidden, wherein the document history parameters are a fixed and permanent part of the document and may not be at least one of deleted, changed and edited; determine whether the electronic document tracking has been disabled; overwrite and scramble the electronic document upon determination that the electronic document tracking has been disabled; and delete the scrambled electronic document upon determination that the electronic document tracking has been disabled. | 10. A computer system comprising at least one processor, at least one memory operatively associated with the at least one processor, at least one application able to open an electronic document, and at least one embedding module executable on the at least one processor, the at least one embedding module programmed to: determine that an electronic document has been opened; determine at least two document history parameters to be encrypted and embedded, wherein at least one of the two document history parameters is associated with a unique identifier for the computer and at least another of the two document history parameters is associated with an identity of a user of the computer; store the at least two document history parameters in the electronic document using visual and digital steganography within apparent blanks in the document in which both visual and digital steganography are hidden, wherein the document history parameters are a fixed and permanent part of the document and may not be at least one of deleted, changed and edited; determine whether the electronic document tracking has been disabled; overwrite and scramble the electronic document upon determination that the electronic document tracking has been disabled; and delete the scrambled electronic document upon determination that the electronic document tracking has been disabled. 11. The computer system of claim 10 comprising an extraction module configured to process the electronic document to extract one or more of the document history parameters that are embedded in the electronic document. | 0.527293 |
22. The method of claim 21 , wherein the action set comprises no more than three single actions. | 22. The method of claim 21 , wherein the action set comprises no more than three single actions. 23. The method of claim 22 , wherein the action set comprises only one single action. | 0.984555 |
1. A system, comprising memory operatively coupled to one or more processors that are configured to execute instructions that cause the system to perform a method comprising steps of: receiving from a first user a first expression of interest in being notified about interactions of a third user; receiving from a second user a second expression of interest in being notified about interactions of the third user; receiving an indication of a particular interaction of the third user; after receiving the first expression of interest, receiving the second expression of interest, and receiving the indication, performing the steps of: based, at least in part, on the first expression of interest, sending first information about the particular interaction to the first user; based, at least in part, on the second expression of interest, sending the first information about the particular interaction to the second user; and wherein the first information includes one or more links that provide access to one or more views that are associated with the particular interaction; receiving from the first user a first comment entered in a first text entry interface, wherein the first text entry interface is related to the first information; and sending the first comment to the second user to enable display of the first comment, in relation to the first information, to the second user. | 1. A system, comprising memory operatively coupled to one or more processors that are configured to execute instructions that cause the system to perform a method comprising steps of: receiving from a first user a first expression of interest in being notified about interactions of a third user; receiving from a second user a second expression of interest in being notified about interactions of the third user; receiving an indication of a particular interaction of the third user; after receiving the first expression of interest, receiving the second expression of interest, and receiving the indication, performing the steps of: based, at least in part, on the first expression of interest, sending first information about the particular interaction to the first user; based, at least in part, on the second expression of interest, sending the first information about the particular interaction to the second user; and wherein the first information includes one or more links that provide access to one or more views that are associated with the particular interaction; receiving from the first user a first comment entered in a first text entry interface, wherein the first text entry interface is related to the first information; and sending the first comment to the second user to enable display of the first comment, in relation to the first information, to the second user. 14. The system of claim 1 wherein at least one of the one or more links is a URL. | 0.780181 |
17. A method in accordance with claim 16 , wherein the link is provided as part of an answer or response to the question or statement that is displayed in the user interface as a reply to the discussion group entry. | 17. A method in accordance with claim 16 , wherein the link is provided as part of an answer or response to the question or statement that is displayed in the user interface as a reply to the discussion group entry. 18. A method in accordance with claim 17 , wherein the answer or response further comprises a bot identifier to show that the answer or response was generated by the agent. | 0.951125 |
1. A method for batch-updating multiple distinct structured query language (SQL) statements in a database, comprising the steps of: identifying a set of one or more data types, wherein the set comprises one or more columns that are each updated, respectively, by one of the multiple distinct SQL statements; identifying multiple tables, wherein each of the multiple tables is updated, respectively, by one of the multiple distinct SQL statements; identifying a set of one or more columns used in a WHERE clause of each of the multiple distinct SQL statements; configuring a UNION ALL view for updating the multiple distinct SQL statements; and batch-updating the multiple distinct SQL statements, wherein the multiple distinct SQL statements comprise two or more distinct SQL statements, wherein each distinct SQL statement updates a unique table with a unique combination of SET and WHERE clauses and includes a WHERE clause that specifies a record that is unique from each record specified by each WHERE clause in the one or more other distinct SQL statements, wherein batch-updating comprises using the UNION ALL view comprising the set of one or more data types, the set of one or more tables and the set of one or more columns used in a WHERE clause, and wherein each distinct SQL statement is mapped to each set of the UNION ALL view. | 1. A method for batch-updating multiple distinct structured query language (SQL) statements in a database, comprising the steps of: identifying a set of one or more data types, wherein the set comprises one or more columns that are each updated, respectively, by one of the multiple distinct SQL statements; identifying multiple tables, wherein each of the multiple tables is updated, respectively, by one of the multiple distinct SQL statements; identifying a set of one or more columns used in a WHERE clause of each of the multiple distinct SQL statements; configuring a UNION ALL view for updating the multiple distinct SQL statements; and batch-updating the multiple distinct SQL statements, wherein the multiple distinct SQL statements comprise two or more distinct SQL statements, wherein each distinct SQL statement updates a unique table with a unique combination of SET and WHERE clauses and includes a WHERE clause that specifies a record that is unique from each record specified by each WHERE clause in the one or more other distinct SQL statements, wherein batch-updating comprises using the UNION ALL view comprising the set of one or more data types, the set of one or more tables and the set of one or more columns used in a WHERE clause, and wherein each distinct SQL statement is mapped to each set of the UNION ALL view. 4. The method of claim 1 , wherein creating a UNION ALL view comprises creating a UNION ALL view comprising two or more parameterized SQL statements. | 0.856046 |
4. The method of claim 1 , further comprising evaluating a plurality of captured behaviors associated with the at least one of the plurality of search results. | 4. The method of claim 1 , further comprising evaluating a plurality of captured behaviors associated with the at least one of the plurality of search results. 5. The method of claim 4 , wherein each of the plurality of captured behaviors are associated with a confidence. | 0.981932 |
41. A method for producing structured clinical information from patient records, comprising the steps of: providing a first computerized patient record comprising at least one data source containing patient information, at least some of the patient information being unstructured and at least some of the patient information being structured; providing a memory storing a domain knowledge base containing domain-specific criteria; extracting clinical information from the at least one data source by data mining using the domain-specific criteria; and creating, using a computer, structured clinical information as a function of the extracting, the structured clinical information being a summary of the unstructured and structured patient information. | 41. A method for producing structured clinical information from patient records, comprising the steps of: providing a first computerized patient record comprising at least one data source containing patient information, at least some of the patient information being unstructured and at least some of the patient information being structured; providing a memory storing a domain knowledge base containing domain-specific criteria; extracting clinical information from the at least one data source by data mining using the domain-specific criteria; and creating, using a computer, structured clinical information as a function of the extracting, the structured clinical information being a summary of the unstructured and structured patient information. 42. The method of claim 41 , wherein extracting the clinical information from the data sources comprises: creating a set of probabilistic assertions; combining the set of probabilistic assertions into one or more unified probabilistic assertions; and inferring patient states from the one or more unified probabilistic assertions. | 0.645161 |
11. A method for identifying electronic documents stored on a computer readable media, and providing a search result in response to a search query, comprising: receiving a search query; identifying a predetermined number of documents that satisfy the search query, the predetermined number of documents including reference documents which are a subset of the identified documents that are deemed to be the most relevant to the search query and secondary documents; parsing text excerpts of the identified documents and applying text function tags to the text excerpts, wherein the text function tags identify semantic roles of the text excerpts; identifying the secondary documents that have text function tags that match the text function tags of a reference document; and generating a search engine results page in response to the search query, the search engine results page including a listing of the identified reference documents, each with a hyperlink to at least one secondary document, the at least one secondary document being a secondary document that has a text function tag that matches a text function tag of the reference document. | 11. A method for identifying electronic documents stored on a computer readable media, and providing a search result in response to a search query, comprising: receiving a search query; identifying a predetermined number of documents that satisfy the search query, the predetermined number of documents including reference documents which are a subset of the identified documents that are deemed to be the most relevant to the search query and secondary documents; parsing text excerpts of the identified documents and applying text function tags to the text excerpts, wherein the text function tags identify semantic roles of the text excerpts; identifying the secondary documents that have text function tags that match the text function tags of a reference document; and generating a search engine results page in response to the search query, the search engine results page including a listing of the identified reference documents, each with a hyperlink to at least one secondary document, the at least one secondary document being a secondary document that has a text function tag that matches a text function tag of the reference document. 19. The method of claim 11 , wherein the text function tags applied includes at least one of <Interrogative>, <Supporting example>, <Description>, <Definition>, <Warning>, <Emphasis>, <Inference>, <Quantification>, <Avoidance goal>, <Diminution>, <Contributory cause>, <Logical connection>, and <Causal connection> tags. | 0.595957 |
3. The apparatus of claim 1 , wherein the at least one program is further configured to cause display of advertising that is contextually related to the organization or entity. | 3. The apparatus of claim 1 , wherein the at least one program is further configured to cause display of advertising that is contextually related to the organization or entity. 5. The apparatus of claim 3 , wherein the advertising is displayed substantially contemporaneous with a display of the graphical or visual representation of that location. | 0.932224 |
14. A system for analyzing an audio signal comprising: a microprocessor; and a computer readable medium, coupled with the microprocessor and comprising microprocessor readable and executable instructions that program the microprocessor to execute: an audio signal monitor that receives a plurality of frames of the audio signal, wherein the audio signal is converted, by a type of codec, from an analog signal into the plurality of frames, wherein the audio signal is a live voice communication between two communication devices on a network; a sound analyzer that indexes into a plurality of entries in a lookup table based on the plurality of frames, wherein the plurality of entries in the lookup table indicate a likelihood of the plurality of frames matching a plurality of sound model elements, derives, from the plurality of indexed lookup table entries, a match score for each of a plurality of sound bites, words, or phrases that are being searched for in the audio signal, and determines that the match score is above a threshold; and an event detector that generates an event in response to determining the match score is above the threshold, wherein the event is at least one of the following: notifying an agent, via an agent communication device of a detection of the word or phrase; notifying a supervisor, via a supervisor communication device of the detection of the word or phrase; logging a detection of the event in a database; conferencing a new user communication device into a voice/video call; transferring a voice/video call to an Interactive Voice Response System (IVR); forwarding/transferring a voice/video call to the new user communication device; searching for a new sound bite, word or phrase; or switching to a different codec. | 14. A system for analyzing an audio signal comprising: a microprocessor; and a computer readable medium, coupled with the microprocessor and comprising microprocessor readable and executable instructions that program the microprocessor to execute: an audio signal monitor that receives a plurality of frames of the audio signal, wherein the audio signal is converted, by a type of codec, from an analog signal into the plurality of frames, wherein the audio signal is a live voice communication between two communication devices on a network; a sound analyzer that indexes into a plurality of entries in a lookup table based on the plurality of frames, wherein the plurality of entries in the lookup table indicate a likelihood of the plurality of frames matching a plurality of sound model elements, derives, from the plurality of indexed lookup table entries, a match score for each of a plurality of sound bites, words, or phrases that are being searched for in the audio signal, and determines that the match score is above a threshold; and an event detector that generates an event in response to determining the match score is above the threshold, wherein the event is at least one of the following: notifying an agent, via an agent communication device of a detection of the word or phrase; notifying a supervisor, via a supervisor communication device of the detection of the word or phrase; logging a detection of the event in a database; conferencing a new user communication device into a voice/video call; transferring a voice/video call to an Interactive Voice Response System (IVR); forwarding/transferring a voice/video call to the new user communication device; searching for a new sound bite, word or phrase; or switching to a different codec. 16. The system of claim 14 , wherein the at least one event comprises switching to the different codec. | 0.55521 |
1. A non-transitory computer-accessible memory medium that stores program instructions executable by a computer system to perform: providing a graphical program development environment comprising a graphical specification and constraint language that allows specification of a model of computation and explicit declaration of constraints; and creating a graphical program in the graphical specification and constraint language in response to user input, wherein the graphical program comprises: a specified model of computation; a plurality of interconnected functional blocks that visually indicate functionality of the graphical program in accordance with the specified model of computation; and graphically indicated specifications or constraints for at least one of the functional blocks in the graphical program; wherein the specifications or constraints comprise: input count (IC), comprising a number of tokens consumed at an input terminal of the at least one functional block by one firing of the at least one functional block; output count (OC), comprising a number of tokens produced at an output terminal of the at least one functional block by one firing of the at least one functional block; execution time (ET), comprising a number of cycles needed by the at least one functional block to complete firing; initiation interval (II), comprising a minimum number of cycles between firings of the at least one functional block; input pattern (IP), comprising a sequence of Boolean values of length at most II, wherein the sequence of Boolean values aligns with the beginning of firing of the at least one functional block, wherein each true value in the sequence denotes consumption of a token at an input terminal of the at least one functional block; and output pattern (OP), comprising a sequence of Boolean values of length at most II, wherein the sequence of Boolean values aligns with the end of firing of the at least one functional block, wherein each true value in the sequence denotes production of a token at an output terminal of the at least one functional block; and automatically generating a program based on the graphical program, wherein the program implements the functionality of the graphical program in accordance with the specified model of computation, and further implements the specifications or constraints; wherein the program is useable to configure a programmable hardware element to perform the functionality subject to the specifications or constraints. | 1. A non-transitory computer-accessible memory medium that stores program instructions executable by a computer system to perform: providing a graphical program development environment comprising a graphical specification and constraint language that allows specification of a model of computation and explicit declaration of constraints; and creating a graphical program in the graphical specification and constraint language in response to user input, wherein the graphical program comprises: a specified model of computation; a plurality of interconnected functional blocks that visually indicate functionality of the graphical program in accordance with the specified model of computation; and graphically indicated specifications or constraints for at least one of the functional blocks in the graphical program; wherein the specifications or constraints comprise: input count (IC), comprising a number of tokens consumed at an input terminal of the at least one functional block by one firing of the at least one functional block; output count (OC), comprising a number of tokens produced at an output terminal of the at least one functional block by one firing of the at least one functional block; execution time (ET), comprising a number of cycles needed by the at least one functional block to complete firing; initiation interval (II), comprising a minimum number of cycles between firings of the at least one functional block; input pattern (IP), comprising a sequence of Boolean values of length at most II, wherein the sequence of Boolean values aligns with the beginning of firing of the at least one functional block, wherein each true value in the sequence denotes consumption of a token at an input terminal of the at least one functional block; and output pattern (OP), comprising a sequence of Boolean values of length at most II, wherein the sequence of Boolean values aligns with the end of firing of the at least one functional block, wherein each true value in the sequence denotes production of a token at an output terminal of the at least one functional block; and automatically generating a program based on the graphical program, wherein the program implements the functionality of the graphical program in accordance with the specified model of computation, and further implements the specifications or constraints; wherein the program is useable to configure a programmable hardware element to perform the functionality subject to the specifications or constraints. 11. The non-transitory computer-accessible memory medium of claim 1 , wherein the specifications or constraints for the at least one functional block are with respect to one or more of: throughput of terminals on the at least one functional block; or latency between inputs and corresponding outputs of the at least one functional block. | 0.524512 |
4. The method of claim 1 , wherein the ordering and presenting of one or more items is limited to items having associated terms of one or more selected subspace categories. | 4. The method of claim 1 , wherein the ordering and presenting of one or more items is limited to items having associated terms of one or more selected subspace categories. 5. The method of claim 4 , wherein the one or more selected subspace categories are selected based on the count of the number of text characters received from the user. | 0.967921 |
17. The method of claim 1 , further comprising: determine, by the information retrieval module, one or more first information items of the determined subset based on one or more first filters; determine, by the information retrieval module, one or more second information items of the determined subset based on one or more second filters; and providing, by the user interface module, one or more representations of the first information items in a first area on the display of the user interface and one or more representations of the second information items in a second area on the display of the user interface, wherein the first area and the second area are provided on the display of the user interface simultaneously with the query input component and the determined sources. | 17. The method of claim 1 , further comprising: determine, by the information retrieval module, one or more first information items of the determined subset based on one or more first filters; determine, by the information retrieval module, one or more second information items of the determined subset based on one or more second filters; and providing, by the user interface module, one or more representations of the first information items in a first area on the display of the user interface and one or more representations of the second information items in a second area on the display of the user interface, wherein the first area and the second area are provided on the display of the user interface simultaneously with the query input component and the determined sources. 18. The method of claim 17 , wherein the first filters relate to one or more of first political entities, first government entities, or first legislations, and wherein the second filters relate to one or more of second political entities, second government entities, or second legislations. | 0.853777 |
26. The computer program product of claim 16 wherein: the information of the first type corresponds to video information; and the first representation of the information of the first type comprises one or more video keyframes extracted from the video information. | 26. The computer program product of claim 16 wherein: the information of the first type corresponds to video information; and the first representation of the information of the first type comprises one or more video keyframes extracted from the video information. 27. The computer program product of claim 26 wherein: the information of the second type corresponds to audio information; and the first representation of information of the second type comprises text information obtained from transcribing the audio information. | 0.972211 |
1. A method for semantic attribution of a request, said method implemented by a processor of a computer system, said method comprising: said processor semantically analyzing source data statements that had been received for the request, said semantically analyzing comprising matching elements in the received source data statements to respective one or more entries in an ontology associated with a domain that had been selected for the received source data statements, wherein the ontology comprises items and relationships that define the selected domain, and wherein each element in the received source data statements is a word or a phrase; after said semantically analyzing, said processor assigning the one or more entries to the matched elements, respectively, to annotate each matched element with a respective annotation consisting of the respective one or more entries; after said assigning, said processor saving the annotated elements with the respective annotations; and after said saving, said processor generating a search query for the request, said generating comprising using the annotations to generate the search query for the request. | 1. A method for semantic attribution of a request, said method implemented by a processor of a computer system, said method comprising: said processor semantically analyzing source data statements that had been received for the request, said semantically analyzing comprising matching elements in the received source data statements to respective one or more entries in an ontology associated with a domain that had been selected for the received source data statements, wherein the ontology comprises items and relationships that define the selected domain, and wherein each element in the received source data statements is a word or a phrase; after said semantically analyzing, said processor assigning the one or more entries to the matched elements, respectively, to annotate each matched element with a respective annotation consisting of the respective one or more entries; after said assigning, said processor saving the annotated elements with the respective annotations; and after said saving, said processor generating a search query for the request, said generating comprising using the annotations to generate the search query for the request. 10. The method of claim 1 , wherein the annotation that annotates one matched element of the matched elements is a pillar which is a main structural element of the ontology, wherein the pillar expresses: an activity and refers to what changed, a product and an associated environment to identify main products of concern, a situation to identify symptoms associated with a specific situation or incident, or a component to define where a situation occurs. | 0.802863 |
25. A system for generating a user-configured portal, comprising: a server including one or more processors, said server configured to automatically synchronize data; a plurality of portal designer tools deployed in a first development environment capable of simultaneously obtaining portal configuration information; an administration tool deployed in a second development environment capable of constructing a portal for a particular user or group of users; wherein each one of the portal designer tools includes a graphical user interface that obtains the portal configuration information by dragging and dropping a portal component from a palette to a display within the graphical user interface, and wherein the portal component includes one of a portlet, page and book; wherein the graphical user interface includes a design view, a source view and a hierarchical view, and wherein the design view is a display that gives a graphical indication of the portal components in the portal, the source view is a display of the portal description and the hierarchical view provides a graphical indication of all the portal components arranged in a hierarchy; wherein the administration tool aggregates the portal configuration information received from the plurality of portal designer tools located in the first development environment to construct the portal for the particular user or group of users; whereupon when the server detects a modification of the portal description by any of the design tools by detecting at least one of a drag and drop of a new portal component from the palette into the display within the graphical user interface, and editing properties of the selected portal component, the server automatically synchronizes the portal description, design view, source view and hierarchical view across the portal designer tool and the administration tool, via the network, to reflect the modification of the portal description, and wherein upon detecting the modification of the portal description, the design view, source view and hierarchical view are updated to reflect the modification. | 25. A system for generating a user-configured portal, comprising: a server including one or more processors, said server configured to automatically synchronize data; a plurality of portal designer tools deployed in a first development environment capable of simultaneously obtaining portal configuration information; an administration tool deployed in a second development environment capable of constructing a portal for a particular user or group of users; wherein each one of the portal designer tools includes a graphical user interface that obtains the portal configuration information by dragging and dropping a portal component from a palette to a display within the graphical user interface, and wherein the portal component includes one of a portlet, page and book; wherein the graphical user interface includes a design view, a source view and a hierarchical view, and wherein the design view is a display that gives a graphical indication of the portal components in the portal, the source view is a display of the portal description and the hierarchical view provides a graphical indication of all the portal components arranged in a hierarchy; wherein the administration tool aggregates the portal configuration information received from the plurality of portal designer tools located in the first development environment to construct the portal for the particular user or group of users; whereupon when the server detects a modification of the portal description by any of the design tools by detecting at least one of a drag and drop of a new portal component from the palette into the display within the graphical user interface, and editing properties of the selected portal component, the server automatically synchronizes the portal description, design view, source view and hierarchical view across the portal designer tool and the administration tool, via the network, to reflect the modification of the portal description, and wherein upon detecting the modification of the portal description, the design view, source view and hierarchical view are updated to reflect the modification. 36. The system of claim 25 , further comprising: deploying the portal. | 0.951102 |
11. A computer program product for creating a dynamic folder hierarchy, said computer program product comprising: a computer readable medium readable by a processing circuit and storing instructions for execution by said processing circuit for performing a method comprising: creating a design-time folder group definition specifying an organization of a hierarchy of design-time folder groups with each design-time folder group consisting of a plurality of design-time folders arranged in parent-child relationships, said definition including a set of variable binding expressions for associating a plurality of documents with a plurality of dynamic folders; generating a query with predicates from said set of variable binding expressions; searching a collection of documents to identify documents which match said query, each of said documents in said collection of documents containing self-describing data; dynamically creating a hierarchy of dynamic folders including child dynamic folders within said hierarchy of design-time folder groups by using a combination of said design-time folder groups definition and said identified documents; and associating each of said identified documents with at least one dynamic folder in said hierarchy of dynamic folders. | 11. A computer program product for creating a dynamic folder hierarchy, said computer program product comprising: a computer readable medium readable by a processing circuit and storing instructions for execution by said processing circuit for performing a method comprising: creating a design-time folder group definition specifying an organization of a hierarchy of design-time folder groups with each design-time folder group consisting of a plurality of design-time folders arranged in parent-child relationships, said definition including a set of variable binding expressions for associating a plurality of documents with a plurality of dynamic folders; generating a query with predicates from said set of variable binding expressions; searching a collection of documents to identify documents which match said query, each of said documents in said collection of documents containing self-describing data; dynamically creating a hierarchy of dynamic folders including child dynamic folders within said hierarchy of design-time folder groups by using a combination of said design-time folder groups definition and said identified documents; and associating each of said identified documents with at least one dynamic folder in said hierarchy of dynamic folders. 19. The computer program product of claim 11 , further comprising creating materialized query tables to pre-compute search results for dynamic folders that are frequently accessed by a user. | 0.536258 |
1. A taxonomy control for an appliance having a software component configured to perform a cycle of operation on a physical article and for a controlling device for the appliance, the taxonomy control comprising: a dataset, stored in a medium, and describing attributes that contain a plurality of child values which represent valid values of the attributes, and derived from operational capabilities of the appliance for at least one state of the appliance, and a taxonomy operator in a processor to operate on the dataset, wherein the dataset is generated by the appliance in the at least one state, limited to the at least one state, and sent to the controlling device, whereby the controlling device can create well formed commands from the dataset as operated on by the taxonomy operator that can be executed by the appliance in the at least one state without need for a variant of the software component in the controlling device. | 1. A taxonomy control for an appliance having a software component configured to perform a cycle of operation on a physical article and for a controlling device for the appliance, the taxonomy control comprising: a dataset, stored in a medium, and describing attributes that contain a plurality of child values which represent valid values of the attributes, and derived from operational capabilities of the appliance for at least one state of the appliance, and a taxonomy operator in a processor to operate on the dataset, wherein the dataset is generated by the appliance in the at least one state, limited to the at least one state, and sent to the controlling device, whereby the controlling device can create well formed commands from the dataset as operated on by the taxonomy operator that can be executed by the appliance in the at least one state without need for a variant of the software component in the controlling device. 8. The taxonomy control of claim 1 further comprising also at least one of a taxonomy manager, a taxonomy engine, and a taxonomy structure. | 0.60634 |
13. One or more non-transitory computer-readable storage media storing instructions, the instructions including instructions which, when executed by one or more processors, cause the one or more processors to perform the steps of: collecting usage data that indicates how frequently users interact with annotations for entities that are referenced in documents presented to the users; based at least in part on the usage data, generating weights for features that are associated with the entities referenced in the documents; wherein a particular weight of a particular feature is based at least in part on how frequently users interact with annotations of entities having the particular feature; identifying a set of identified entities within a document; determining a ranking for the identified entities that belong to said set of identified identities based, at least in part, on (a) feature scores for each of the identified entities, wherein the feature scores correspond to features associated with the identified entities, wherein the particular feature is associated with at least one of the identified entities; and (b) weights, including the particular weight, for the features that are associated with the identified entities; based at least in part on the ranking, automatically selecting a subset of the identified entities for annotation, wherein the subset includes fewer than all of the identified entities; automatically generating an annotated version of the document by, for each entity in the subset, adding to the document a control for displaying additional information about the entity, wherein the additional information about the entity and the control associated with the entity were not in the document before the step of automatically generating the annotated version of the document. | 13. One or more non-transitory computer-readable storage media storing instructions, the instructions including instructions which, when executed by one or more processors, cause the one or more processors to perform the steps of: collecting usage data that indicates how frequently users interact with annotations for entities that are referenced in documents presented to the users; based at least in part on the usage data, generating weights for features that are associated with the entities referenced in the documents; wherein a particular weight of a particular feature is based at least in part on how frequently users interact with annotations of entities having the particular feature; identifying a set of identified entities within a document; determining a ranking for the identified entities that belong to said set of identified identities based, at least in part, on (a) feature scores for each of the identified entities, wherein the feature scores correspond to features associated with the identified entities, wherein the particular feature is associated with at least one of the identified entities; and (b) weights, including the particular weight, for the features that are associated with the identified entities; based at least in part on the ranking, automatically selecting a subset of the identified entities for annotation, wherein the subset includes fewer than all of the identified entities; automatically generating an annotated version of the document by, for each entity in the subset, adding to the document a control for displaying additional information about the entity, wherein the additional information about the entity and the control associated with the entity were not in the document before the step of automatically generating the annotated version of the document. 30. The one or more non-transitory computer-readable storage media of claim 13 , wherein the instructions, when executed by the one or more processors, cause the one or more processors to perform automatically generating the annotated version before a request for the document is received, storing the annotated version until the request is received, and providing the annotated version in response to the request. | 0.602045 |
26. The method of claim 25 wherein: the step of storing comprises the step of storing information defining the individual symbol strings of individual types to have variable lengths in terms of numbers of symbols that make up individual symbol strings of the individual type. | 26. The method of claim 25 wherein: the step of storing comprises the step of storing information defining the individual symbol strings of individual types to have variable lengths in terms of numbers of symbols that make up individual symbol strings of the individual type. 20. The method of claim 26 wherein: the step of defining comprises the further step of defining the network numbering plan such that the individual symbol strings each comprises alphabetic symbols or numeric symbols within a predefined digital alphabet and said string is a member either of a natural human language or of a proper name so that said symbol string has a logical meaning outside of the network numbering plan. | 0.890187 |
2. The method of claim 1 wherein defining TC-related policies further includes defining general and dynamic subject and object attributes to specify TC-related policies. | 2. The method of claim 1 wherein defining TC-related policies further includes defining general and dynamic subject and object attributes to specify TC-related policies. 3. The method of claim 2 wherein extending the SELinux policy model further includes extending the identity-role-type policy model (user:role:type) of SELinux to include user:profile:role:type:system profile reflecting TC requirements. | 0.807371 |
4. The method according to claim 1 , wherein the determining reminder content for reminder setting according to the time information and the text sequence comprises: determining content information in the text sequence according to the time information and the text sequence, wherein the content information is a subset of the part, in the text sequence, not corresponding to the time information; and using the content information and/or the speech segment corresponding to the content information in the speech signal as the reminder content for reminder setting. | 4. The method according to claim 1 , wherein the determining reminder content for reminder setting according to the time information and the text sequence comprises: determining content information in the text sequence according to the time information and the text sequence, wherein the content information is a subset of the part, in the text sequence, not corresponding to the time information; and using the content information and/or the speech segment corresponding to the content information in the speech signal as the reminder content for reminder setting. 5. The method according to claim 4 , wherein the determining content information in the text sequence according to the time information and the text sequence comprises: partitioning, according to the start and end times of the time-specific keyword in the speech signal, and the start and end times of the each text in the speech signal, the text sequence into a part corresponding to the time information and a part not corresponding to the time information; if the part not corresponding to the time information has one section, using the part not corresponding to the time information as the content information; and if the part not corresponding to the time information has two or more than two sections, using a section satisfying a second preset condition in the part not corresponding to the time information as the content information. | 0.818952 |
10. A computing device that is configured for natural language processing on a computing device, comprising: a processor; memory in electronic communication with the processor; instructions stored in the memory, the instructions being executable to: receive a free text document; parse the free text document for gross structure, wherein the gross structure comprises sections, paragraphs and sentences; determine an application of at least one knowledge base; parse the free text document for fine structure, wherein the fine structure comprises sub-sentences; apply the parsed document and at least one likelihood vector to a Bayesian network, wherein the instructions to apply the parsed document and the at least one likelihood vector to the Bayesian network comprises instructions executable to: identify possible sets of word-level network assignments for lowest-level phrases in a parse tree; identify assignments that have multiple different potential assignments; create likelihood vectors for all nodes of the Bayesian network, wherein the likelihood vectors cover all potential assignments; instantiate the likelihood vectors; identify optimal null assignments for unassigned word-level nodes; and select the highest probability state for each node to obtain an interpretation of the free text document; and output meanings and probabilities. | 10. A computing device that is configured for natural language processing on a computing device, comprising: a processor; memory in electronic communication with the processor; instructions stored in the memory, the instructions being executable to: receive a free text document; parse the free text document for gross structure, wherein the gross structure comprises sections, paragraphs and sentences; determine an application of at least one knowledge base; parse the free text document for fine structure, wherein the fine structure comprises sub-sentences; apply the parsed document and at least one likelihood vector to a Bayesian network, wherein the instructions to apply the parsed document and the at least one likelihood vector to the Bayesian network comprises instructions executable to: identify possible sets of word-level network assignments for lowest-level phrases in a parse tree; identify assignments that have multiple different potential assignments; create likelihood vectors for all nodes of the Bayesian network, wherein the likelihood vectors cover all potential assignments; instantiate the likelihood vectors; identify optimal null assignments for unassigned word-level nodes; and select the highest probability state for each node to obtain an interpretation of the free text document; and output meanings and probabilities. 14. The computing device of claim 10 , wherein applying the at least one likelihood vector to the Bayesian network simplifies the Bayesian network. | 0.578135 |
10. A file search method that searches for a file, by using a file search apparatus having a display unit that displays an image and an installation module to which a storage medium storing object files, based on one or more searched-keywords associated with object files and one or more searching-keywords selected by a user, the file search method comprising the steps of: (a) setting the searching-keywords according to an instruction by the user; (b) when the searching-keywords are set by the setting module and the storage medium is installed to the installation module, acquiring the searched-keywords associated with respective object files from the storage medium; (c) performing collation as to whether each of the searching-keywords set by the step (a) matches any of the searched-keywords acquired by the step (b); and (d) controlling the display unit to display in a manner that results of the collation by the step (c) is recognizable, wherein the file search apparatus has an information storage module that stores icons in association with the respective searched-keywords; wherein the step (d) reads an icon associated with a searched-keyword corresponding to each of the searching-keywords that are selected from the searched-keywords, from the information storage module, and displays the read icons as the searching-keywords. | 10. A file search method that searches for a file, by using a file search apparatus having a display unit that displays an image and an installation module to which a storage medium storing object files, based on one or more searched-keywords associated with object files and one or more searching-keywords selected by a user, the file search method comprising the steps of: (a) setting the searching-keywords according to an instruction by the user; (b) when the searching-keywords are set by the setting module and the storage medium is installed to the installation module, acquiring the searched-keywords associated with respective object files from the storage medium; (c) performing collation as to whether each of the searching-keywords set by the step (a) matches any of the searched-keywords acquired by the step (b); and (d) controlling the display unit to display in a manner that results of the collation by the step (c) is recognizable, wherein the file search apparatus has an information storage module that stores icons in association with the respective searched-keywords; wherein the step (d) reads an icon associated with a searched-keyword corresponding to each of the searching-keywords that are selected from the searched-keywords, from the information storage module, and displays the read icons as the searching-keywords. 11. The file search method according to claim 10 , wherein the step (d) controls the display unit to display the searching-keywords in a manner that the results of collation by the step (c) is recognizable. | 0.643562 |
1. A method of searching online social profiles of real-world entities on an online social network, the method including: specifying one or more core entity attributes as a first search attribute set for use in searching an online social network; electronically receiving, responsive to searching the online social network based on the first search attribute set, entity reflections that include supplemental entity attributes for real-world entities; and using a combination of the core entity attributes and one or more supplemental entity attributes to electronically receive more entity reflections that include meta entity attributes for the real-world entities. | 1. A method of searching online social profiles of real-world entities on an online social network, the method including: specifying one or more core entity attributes as a first search attribute set for use in searching an online social network; electronically receiving, responsive to searching the online social network based on the first search attribute set, entity reflections that include supplemental entity attributes for real-world entities; and using a combination of the core entity attributes and one or more supplemental entity attributes to electronically receive more entity reflections that include meta entity attributes for the real-world entities. 5. The method of claim 1 , wherein at least some of the meta entity attributes are narrower than the supplemental entity attributes. | 0.65736 |
18. An apparatus comprising: one or more processors; and memory storing executable instruction that, when executed by the one or more processors, cause the apparatus to: execute software that (a) is written in a first programming language (b) calls one or more native interpretive functions that interpret one or more non-native functions written in a second programming language different from the first programming language to enable the apparatus to execute the one or more non-native functions, and (c) calls one or more native functions written in the first programming language for execution by the apparatus, wherein each of the one or more native interpretive functions is written in the first programming language; and profile execution of the software by: identifying, based on execution of the one or more native interpretive functions, which of the one or more non-native functions is interpreted by the one or more native interpretive functions, resulting in an identified non-native function, obtaining profile information that describes one or more characteristics of how the identified non-native function executed on the apparatus, identifying which of the one or more native functions is being executed, resulting in an identified native function, and obtaining additional profile information that describes one or more characteristics of how the identified native function executed on the apparatus. | 18. An apparatus comprising: one or more processors; and memory storing executable instruction that, when executed by the one or more processors, cause the apparatus to: execute software that (a) is written in a first programming language (b) calls one or more native interpretive functions that interpret one or more non-native functions written in a second programming language different from the first programming language to enable the apparatus to execute the one or more non-native functions, and (c) calls one or more native functions written in the first programming language for execution by the apparatus, wherein each of the one or more native interpretive functions is written in the first programming language; and profile execution of the software by: identifying, based on execution of the one or more native interpretive functions, which of the one or more non-native functions is interpreted by the one or more native interpretive functions, resulting in an identified non-native function, obtaining profile information that describes one or more characteristics of how the identified non-native function executed on the apparatus, identifying which of the one or more native functions is being executed, resulting in an identified native function, and obtaining additional profile information that describes one or more characteristics of how the identified native function executed on the apparatus. 19. The apparatus recited in claim 18 , wherein the executable instructions, when executed by the one or more processors, cause the apparatus to generate an execution profile for the software based upon execution of the software, wherein the execution profile includes the profile information and the additional profile information. | 0.553258 |
19. The computer program product of claim 15 , wherein: a list of all the sentences in the selected document is extracted. | 19. The computer program product of claim 15 , wherein: a list of all the sentences in the selected document is extracted. 20. The computer program product of claim 19 , wherein: for each said sentence, a set of proximity queries from selected terms found in the sentence is generated and a set of proximity queries is executed, such that all possible proximity queries are found that return less than N query results from the candidate pool. | 0.912949 |
1. A color management module which builds a color transformation workflow for transforming source-side color image data into corresponding destination-side color image data, the color management module comprising: a module library which includes plural module entries each corresponding to a respective function module which implements color processing functionality, wherein each module entry comprises at least a module locator specifying a location for the function module; a profile library which includes plural profile entries each corresponding to a respective source of parameters that characterize a function module, wherein each profile entry comprises at least a profile locator specifying a location for the source of parameters, and a profile interface definition which specifies an interface for supply of the parameters to the function module characterized thereby; wherein for at least some of the module entries of the module library, the module entry further comprises a profile interface definition which specifies an interface for supply of parameters which characterize the function module; a rule library which includes entries for plural external rules and entries for plural internal rules, wherein each such external rule is associated with function modules located by module entries in the module library, and wherein the external rules and the internal rules characterize color transformation workflows of the color management module; an interface constructed to receive factual input including factual input derived from the source-side color image data; and a rule engine constructed to determine a sequence of function modules and sources of parameters from the module library and profile library, respectively, by using the factual input from the interface and the plural internal and external rules in the rule library, wherein the rule engine builds the color transformation workflow from the determined sequence of function modules and sources of parameters. | 1. A color management module which builds a color transformation workflow for transforming source-side color image data into corresponding destination-side color image data, the color management module comprising: a module library which includes plural module entries each corresponding to a respective function module which implements color processing functionality, wherein each module entry comprises at least a module locator specifying a location for the function module; a profile library which includes plural profile entries each corresponding to a respective source of parameters that characterize a function module, wherein each profile entry comprises at least a profile locator specifying a location for the source of parameters, and a profile interface definition which specifies an interface for supply of the parameters to the function module characterized thereby; wherein for at least some of the module entries of the module library, the module entry further comprises a profile interface definition which specifies an interface for supply of parameters which characterize the function module; a rule library which includes entries for plural external rules and entries for plural internal rules, wherein each such external rule is associated with function modules located by module entries in the module library, and wherein the external rules and the internal rules characterize color transformation workflows of the color management module; an interface constructed to receive factual input including factual input derived from the source-side color image data; and a rule engine constructed to determine a sequence of function modules and sources of parameters from the module library and profile library, respectively, by using the factual input from the interface and the plural internal and external rules in the rule library, wherein the rule engine builds the color transformation workflow from the determined sequence of function modules and sources of parameters. 4. A color management module according to claim 1 , wherein for at least one of the profile entries of the profile library, the profile entry includes at least one function module, wherein each such function module includes at least one external rule. | 0.613707 |
1. A method for routing a confirmation of receipt of a facsimile or portion thereof, comprising: analyzing, using a processor, text of a facsimile for at least one of a meaning and a context of the text; and routing one or more confirmations to one or more destinations based on the analysis, wherein routing the one or more confirmations comprises routing the one or more confirmations to one or more destinations other than a sender of the facsimile for communicating information to a human other than the sender of the facsimile, wherein the analysis does not include utilizing any optical character recognition (OCR) techniques, and wherein the analysis comprises using one or more techniques selected from the group consisting of: naïve Bayes classification; tf-idf weighting; latent semantic analysis; support vector machine analysis; k-nearest neighbor algorithmic analysis; and decision tree analysis. | 1. A method for routing a confirmation of receipt of a facsimile or portion thereof, comprising: analyzing, using a processor, text of a facsimile for at least one of a meaning and a context of the text; and routing one or more confirmations to one or more destinations based on the analysis, wherein routing the one or more confirmations comprises routing the one or more confirmations to one or more destinations other than a sender of the facsimile for communicating information to a human other than the sender of the facsimile, wherein the analysis does not include utilizing any optical character recognition (OCR) techniques, and wherein the analysis comprises using one or more techniques selected from the group consisting of: naïve Bayes classification; tf-idf weighting; latent semantic analysis; support vector machine analysis; k-nearest neighbor algorithmic analysis; and decision tree analysis. 15. A method as recited in claim 1 , wherein the confirmation is selected from a group consisting of: an email message, an audible message, a fax, a text message, and a multimedia message. | 0.827085 |
1. A method implemented on a computer having at least one processor, storage, and a communication platform for providing translated web content, comprising the steps of: receiving a request, via a public network connection, from an online user for content in a second language translated from content in a first language; obtaining in response to the request, via a public network connection, the content in the first language from an Internet source that hosts the content in the first language; dividing the obtained content in the first language into a plurality of translatable components; determining, with respect to each of the plurality of translatable components, whether there is a corresponding translated component previously stored; generating the content in the second language by replacing each of a number of translatable components with a corresponding translated component; and sending the content in the second language generated in the generating step to the online user as a response to the request, wherein the online user triggers, via the request, the obtaining, dividing, determining, generating, and sending steps, without participating in any of the steps. | 1. A method implemented on a computer having at least one processor, storage, and a communication platform for providing translated web content, comprising the steps of: receiving a request, via a public network connection, from an online user for content in a second language translated from content in a first language; obtaining in response to the request, via a public network connection, the content in the first language from an Internet source that hosts the content in the first language; dividing the obtained content in the first language into a plurality of translatable components; determining, with respect to each of the plurality of translatable components, whether there is a corresponding translated component previously stored; generating the content in the second language by replacing each of a number of translatable components with a corresponding translated component; and sending the content in the second language generated in the generating step to the online user as a response to the request, wherein the online user triggers, via the request, the obtaining, dividing, determining, generating, and sending steps, without participating in any of the steps. 6. The method of claim 1 , wherein the online user requests for the content in the second language for the purpose of consuming it. | 0.623728 |
1. A touch-typable device for accepting desired textual input from a user comprising: said touch-typable device including a display; a movable keymask comprising of a plurality of dynamically assigned cells that are logically mapped to and activate with one or more keys of a text input keypad of said touch-typable device, wherein each of said plurality of dynamically assigned cells of said movable keymask superimposes over corresponds to textual input choices enabling said user to select said desired textual input choices through said plurality of cells of said movable keymask using said text input keypad of said touch-typable device, wherein said textual input choices are chosen after every user input from a set of likely and valid textual input choices, wherein said likely and valid input choices are selected based on one or a combination of previous textual input sequence, phoneme and syllabary patterns, statistical correlation between said previous textual input sequence and set of textual input choices, dictionary lookups, and usage patterns of said user. | 1. A touch-typable device for accepting desired textual input from a user comprising: said touch-typable device including a display; a movable keymask comprising of a plurality of dynamically assigned cells that are logically mapped to and activate with one or more keys of a text input keypad of said touch-typable device, wherein each of said plurality of dynamically assigned cells of said movable keymask superimposes over corresponds to textual input choices enabling said user to select said desired textual input choices through said plurality of cells of said movable keymask using said text input keypad of said touch-typable device, wherein said textual input choices are chosen after every user input from a set of likely and valid textual input choices, wherein said likely and valid input choices are selected based on one or a combination of previous textual input sequence, phoneme and syllabary patterns, statistical correlation between said previous textual input sequence and set of textual input choices, dictionary lookups, and usage patterns of said user. 2. The touch-typable device as claimed in claim 1 , wherein said movable keymask is positioned on display of said touch-typable device, and wherein said movable keymask is replica of a portion of said text input keypad of the touch-typable device. | 0.661553 |
1. A system for creating and managing persistent document collections comprising: memory; a data store for storing one or more persistent document collections; and a browser-based content management application that receives user input from a client-side web browser, the content management application being processed to manage documents for a plurality of users, to create a persistent document collection grouping together a plurality of the documents upon user request from the client-side web browser and to assign an attribute to the persistent document collection that specifies any external applications with which the persistent document collection can share its documents, the persistent document collection enabling at least one of the plurality of users to access the plurality of documents as a group, and to store the one or more persistent document collections in the data store, in storage space allocated to the one or more persistent document collections, wherein the content management application is further processed to assign one or more attributes to the persistent document collection, wherein the one or more attributes include an amount of disk space measured in a multiple of bits or a multiple of bytes to allocate to the persistent document collection. | 1. A system for creating and managing persistent document collections comprising: memory; a data store for storing one or more persistent document collections; and a browser-based content management application that receives user input from a client-side web browser, the content management application being processed to manage documents for a plurality of users, to create a persistent document collection grouping together a plurality of the documents upon user request from the client-side web browser and to assign an attribute to the persistent document collection that specifies any external applications with which the persistent document collection can share its documents, the persistent document collection enabling at least one of the plurality of users to access the plurality of documents as a group, and to store the one or more persistent document collections in the data store, in storage space allocated to the one or more persistent document collections, wherein the content management application is further processed to assign one or more attributes to the persistent document collection, wherein the one or more attributes include an amount of disk space measured in a multiple of bits or a multiple of bytes to allocate to the persistent document collection. 2. The system of claim 1 , wherein the content management application is further processed to receive a request from an external application for collection information regarding at least a portion of the persistent document collection, and in response to the request from the external application, the content management application being further processed to retrieve the collection information from the data store and return the collection information to the external application. | 0.5 |
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