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7,870,512 | 1 | 6 | 1. A computer-implemented method, the method comprising: receiving a user's definition of at least a user interface (UI) layout and a UI principle for one or more user interfaces, the UI principle comprising a UI rule associated with a mandatory UI behavior and the UI principle comprising a UI concept associated with a recommended UI behavior; creating a UI taxonomy that is an abstraction of a class of UIs consistent with the UI layout and the UI principle; generating a UI prototype using the UI taxonomy, the UI prototype being an instance of the class of UIs; providing the UI prototype for use in creating, in response to a user control, a UI for an application; automatically verifying whether the UI for the application complies with the UI rule; upon automatic verification that the UI for the application does not comply with the UI rule, automatically reformatting the UI for the application to comply with the UI rule; automatically verifying whether the UI for the application complies with the UI concept; and upon automatic verification that the UI for the application does not comply with the UI concept, performing a predefined action, the predefined action comprising generating a message stating how the UI for the application does not comply with the UI concept. | 1. A computer-implemented method, the method comprising: receiving a user's definition of at least a user interface (UI) layout and a UI principle for one or more user interfaces, the UI principle comprising a UI rule associated with a mandatory UI behavior and the UI principle comprising a UI concept associated with a recommended UI behavior; creating a UI taxonomy that is an abstraction of a class of UIs consistent with the UI layout and the UI principle; generating a UI prototype using the UI taxonomy, the UI prototype being an instance of the class of UIs; providing the UI prototype for use in creating, in response to a user control, a UI for an application; automatically verifying whether the UI for the application complies with the UI rule; upon automatic verification that the UI for the application does not comply with the UI rule, automatically reformatting the UI for the application to comply with the UI rule; automatically verifying whether the UI for the application complies with the UI concept; and upon automatic verification that the UI for the application does not comply with the UI concept, performing a predefined action, the predefined action comprising generating a message stating how the UI for the application does not comply with the UI concept. 6. The method of claim 1 , wherein the automatically verifying whether the UI for the application complies with the UI concept is initiated by one selected from a group consisting of: (a) a UI designer working in a design environment, wherein the UI belongs to a UI prototype; and (b) a developer working in an application development environment, wherein the UI belongs to an application. | 0.52445 |
9,292,877 | 5 | 6 | 5. The method of claim 1 , wherein the concept information included in the new comment is determined using a concept server computing system configured with an Intelligent Data Operating Layer (IDOL) application. | 5. The method of claim 1 , wherein the concept information included in the new comment is determined using a concept server computing system configured with an Intelligent Data Operating Layer (IDOL) application. 6. The method of claim 5 , wherein the user generates the new comment using a mobile computing device wirelessly connected to an Internet coupled with the concept server computing system, and wherein functionalities of the concept server computing system is mirrored across other server computing systems coupled to the Internet and located at different geographical areas. | 0.5 |
9,426,252 | 9 | 42 | 9. The method of claim 1 , wherein the application software includes a template and a script library for creating query applications for requesting the subscribed data. | 9. The method of claim 1 , wherein the application software includes a template and a script library for creating query applications for requesting the subscribed data. 42. The method of claim 9 , wherein a query application is created on the client device by the application software for generating in queries in the request for subscribed data, the query application being created as a dynamic application. | 0.5 |
9,977,766 | 8 | 13 | 8. A system comprising: a memory to store a first list of words of a first language and a second list of words of a second language; and a processing device, operatively coupled to the memory, to: receive a user selection of a first symbol to associate with adding words to a first lexicon associated with a first language, and a user selection of a second symbol to associate with adding words to a second lexicon associated with a second language; receive a first series of keyboard input signals via a physical keyboard of a computing device or a virtual keyboard presented in a display of the computing device; convert the first series of keyboard input signals into a first series of character codes in view of a first keyboard layout corresponding to the first script, wherein each of the first series of character codes corresponds to a respective character of a first script of the first language and to a respective character of a second script of the second language; in response to a determination that the first series of character codes comprises a concatenation of the first symbol with a first remaining series of character codes, add, to the first lexicon, a word comprising characters of the first script that correspond to the first remaining series of character codes; receive a second series of keyboard input signals via the physical keyboard or the virtual keyboard; convert the second series of keyboard input signals into a second series of character codes in view of a second keyboard layout corresponding to the second script, wherein each of the second series of character codes corresponds to a respective character of the first script and to a respective character of the second script; in response to a determination that the second series of character codes comprises a concatenation of the second symbol with a second remaining series of character codes, adding, to the second lexicon, a word comprising characters of the second script that correspond to the second remaining series of character codes; receive a third series of keyboard input signals via the physical keyboard or the virtual keyboard; convert the third series of keyboard input signals into a third series of character codes in view of the first keyboard layout corresponding to the first script and the second keyboard layout corresponding to the second script; and in response to a determination that the third series of character codes does not correspond to a word in the first lexicon and corresponds to a third word in the second lexicon, display the third word in a the second script. | 8. A system comprising: a memory to store a first list of words of a first language and a second list of words of a second language; and a processing device, operatively coupled to the memory, to: receive a user selection of a first symbol to associate with adding words to a first lexicon associated with a first language, and a user selection of a second symbol to associate with adding words to a second lexicon associated with a second language; receive a first series of keyboard input signals via a physical keyboard of a computing device or a virtual keyboard presented in a display of the computing device; convert the first series of keyboard input signals into a first series of character codes in view of a first keyboard layout corresponding to the first script, wherein each of the first series of character codes corresponds to a respective character of a first script of the first language and to a respective character of a second script of the second language; in response to a determination that the first series of character codes comprises a concatenation of the first symbol with a first remaining series of character codes, add, to the first lexicon, a word comprising characters of the first script that correspond to the first remaining series of character codes; receive a second series of keyboard input signals via the physical keyboard or the virtual keyboard; convert the second series of keyboard input signals into a second series of character codes in view of a second keyboard layout corresponding to the second script, wherein each of the second series of character codes corresponds to a respective character of the first script and to a respective character of the second script; in response to a determination that the second series of character codes comprises a concatenation of the second symbol with a second remaining series of character codes, adding, to the second lexicon, a word comprising characters of the second script that correspond to the second remaining series of character codes; receive a third series of keyboard input signals via the physical keyboard or the virtual keyboard; convert the third series of keyboard input signals into a third series of character codes in view of the first keyboard layout corresponding to the first script and the second keyboard layout corresponding to the second script; and in response to a determination that the third series of character codes does not correspond to a word in the first lexicon and corresponds to a third word in the second lexicon, display the third word in a the second script. 13. The system of claim 8 , wherein the processing device is further to convert the third series of character codes into the third word in the second script. | 0.842685 |
9,418,150 | 17 | 19 | 17. The system according to claim 16 , where the one or more computers includes instructions stored on a non-transient tangible medium that calculate a semantic distance between at least two concepts based on the tree or graph structure and where the rankings for the electronic content also are based on the semantic distance between the at least two concepts. | 17. The system according to claim 16 , where the one or more computers includes instructions stored on a non-transient tangible medium that calculate a semantic distance between at least two concepts based on the tree or graph structure and where the rankings for the electronic content also are based on the semantic distance between the at least two concepts. 19. The system according to claim 17 , where the one or more computers includes instructions stored on a non-transient tangible medium that calculate a concept frequency occurrence for each electronic document, where the rank also is based on the concept frequency occurrence for the electronic document. | 0.5 |
9,280,536 | 1 | 6 | 1. A non-transitory, computer-readable storage medium containing code that, when executed by a processor, causes the processor to: obtain a plurality of n-grams from a plurality of messages; determine a temporal histogram for each n-gram; determine synonyms among the n-grams based on a correlation of he histograms and a distance measure between n-grams; and select from among the synonyms an n-gram for presentation, wherein the selection is based of a difficulty metric. | 1. A non-transitory, computer-readable storage medium containing code that, when executed by a processor, causes the processor to: obtain a plurality of n-grams from a plurality of messages; determine a temporal histogram for each n-gram; determine synonyms among the n-grams based on a correlation of he histograms and a distance measure between n-grams; and select from among the synonyms an n-gram for presentation, wherein the selection is based of a difficulty metric. 6. The non-transitory, computer-readable storage medium of claim 1 wherein, when executed, the code causes the processor to determine synonyms also based on a frequency of occurrence n-grams in a same message. | 0.871147 |
9,411,801 | 1 | 7 | 1. An electronic apparatus configured to translate words into a target language, the electronic apparatus comprising: an electronic display; an electronic processor; and instructions to cause the electronic apparatus to: acquire an image of text; detect a selection of a word or word combination in the image to be translated; perform optical character recognition (OCR) on the selected word or word combination using a character alphabet of a plurality of languages; generate a set of recognition variants for each word of the selected word or word combination; transmit each set of recognition variants to a set of language specific processors; eliminate language inappropriate variants from the set of recognition variants for each language, wherein the language inappropriate variants are the recognition variants which do not contain characters or symbols of the language; match each of remaining variants to a source language, wherein the remaining variants are the recognition variants minus the language inappropriate variants; confirm that at least one of the remaining variants is in at least one language specific word list; translate a confirmed word variant using a translation dictionary; and provide a translation of the confirmed word variant. | 1. An electronic apparatus configured to translate words into a target language, the electronic apparatus comprising: an electronic display; an electronic processor; and instructions to cause the electronic apparatus to: acquire an image of text; detect a selection of a word or word combination in the image to be translated; perform optical character recognition (OCR) on the selected word or word combination using a character alphabet of a plurality of languages; generate a set of recognition variants for each word of the selected word or word combination; transmit each set of recognition variants to a set of language specific processors; eliminate language inappropriate variants from the set of recognition variants for each language, wherein the language inappropriate variants are the recognition variants which do not contain characters or symbols of the language; match each of remaining variants to a source language, wherein the remaining variants are the recognition variants minus the language inappropriate variants; confirm that at least one of the remaining variants is in at least one language specific word list; translate a confirmed word variant using a translation dictionary; and provide a translation of the confirmed word variant. 7. The electronic apparatus of claim 1 , wherein the instructions further cause the electronic apparatus to: display a translation of a multi-lingual word string with text of a secondary language in its original form; and emphasize the word or words of the multi-lingual word string that are in the secondary language. | 0.738056 |
9,971,830 | 1 | 2 | 1. A method for recommending users to invite to a social networking system group comprising: receiving, at a social networking system server from a client device, a request from a user of a social networking system identifying the social networking system group maintained by the social networking system, the group including a set of users of the social networking system; accessing, by the social networking system, a user profile associated with the user of the social networking system, the user profile identifying one or more characteristics of the user; determining, by the social networking system server from the user profile, a set of candidate users connected to the user and not included in the identified group; determining, by the social networking system server, a user score for each of the candidate users, a user score for a candidate user based on each of one or more characteristics of the candidate user, a likelihood that the user will invite the candidate user when suggested, a likelihood that the candidate user will join the group when invited by the user, and an amount of activity of the user within the identified group; selecting, by the social networking system server, a candidate user associated with a user score greater than a threshold value from the set of candidate users; and presenting, by the social networking system server via the client device, the selected candidate user to the user within a social networking system interface displayed by the client device. | 1. A method for recommending users to invite to a social networking system group comprising: receiving, at a social networking system server from a client device, a request from a user of a social networking system identifying the social networking system group maintained by the social networking system, the group including a set of users of the social networking system; accessing, by the social networking system, a user profile associated with the user of the social networking system, the user profile identifying one or more characteristics of the user; determining, by the social networking system server from the user profile, a set of candidate users connected to the user and not included in the identified group; determining, by the social networking system server, a user score for each of the candidate users, a user score for a candidate user based on each of one or more characteristics of the candidate user, a likelihood that the user will invite the candidate user when suggested, a likelihood that the candidate user will join the group when invited by the user, and an amount of activity of the user within the identified group; selecting, by the social networking system server, a candidate user associated with a user score greater than a threshold value from the set of candidate users; and presenting, by the social networking system server via the client device, the selected candidate user to the user within a social networking system interface displayed by the client device. 2. The method of claim 1 , wherein a characteristic of the candidate user comprises one or more characteristics common to the user and the candidate user. | 0.809406 |
10,043,500 | 1 | 3 | 1. A method of making audio music selection and creating a mixtape, comprising: importing one or more audio digital data files from an audio music repository; sorting and filtering the audio digital data files based on one or more selection criteria; creating the mixtape from the audio digital data files sorting and filtering results, the results comprising one or more sorted and filtered audio digital data files; wherein the sorting and filtering of the audio digital data files comprise: spectral analyzing each of the audio digital data files to extract one or more low level acoustic feature parameters of the audio digital data file; from the low level acoustic feature parameter values, determining one or more high level acoustic feature parameters of the analyzed audio digital data file; determining a first similarity score of each of the analyzed audio digital data files by comparing the acoustic feature parameter values of the analyzed audio digital data file against desired acoustic feature parameter values determined from the selection criteria; and sorting the analyzed audio digital data files according to their first similarity scores; and filtering out the analyzed audio digital data files with first similarity scores lower than a filter threshold; and compiling a similarity matrix comprising a second similarity score of each of the analyzed audio digital data file comprising: determining the second similarity score of each of the analyzed audio digital data files by comparing the acoustic feature parameter values of the analyzed audio digital data file against the acoustic feature parameter values of another one of the analyzed audio digital data files; including the second similarity score in the similarity matrix with reference to the two analyzed audio digital data files compared; excluding second similarity scores that are identical from the similarity matrix; and excluding second similarity scores that are below a similarity threshold from the similarity matrix; wherein the the similarity matrix is used to identify candidate audio digital data files with similar acoustic feature to those audio digital data files in the mixtape. | 1. A method of making audio music selection and creating a mixtape, comprising: importing one or more audio digital data files from an audio music repository; sorting and filtering the audio digital data files based on one or more selection criteria; creating the mixtape from the audio digital data files sorting and filtering results, the results comprising one or more sorted and filtered audio digital data files; wherein the sorting and filtering of the audio digital data files comprise: spectral analyzing each of the audio digital data files to extract one or more low level acoustic feature parameters of the audio digital data file; from the low level acoustic feature parameter values, determining one or more high level acoustic feature parameters of the analyzed audio digital data file; determining a first similarity score of each of the analyzed audio digital data files by comparing the acoustic feature parameter values of the analyzed audio digital data file against desired acoustic feature parameter values determined from the selection criteria; and sorting the analyzed audio digital data files according to their first similarity scores; and filtering out the analyzed audio digital data files with first similarity scores lower than a filter threshold; and compiling a similarity matrix comprising a second similarity score of each of the analyzed audio digital data file comprising: determining the second similarity score of each of the analyzed audio digital data files by comparing the acoustic feature parameter values of the analyzed audio digital data file against the acoustic feature parameter values of another one of the analyzed audio digital data files; including the second similarity score in the similarity matrix with reference to the two analyzed audio digital data files compared; excluding second similarity scores that are identical from the similarity matrix; and excluding second similarity scores that are below a similarity threshold from the similarity matrix; wherein the the similarity matrix is used to identify candidate audio digital data files with similar acoustic feature to those audio digital data files in the mixtape. 3. The method of claim 1 , further comprising: storing the extracted low level acoustic feature parameter values and determined low level acoustic feature parameter values of each analyzed audio digital data file in an acoustic feature database with reference to the analyzed audio digital data file for rapid retrieval of the acoustic feature parameter values. | 0.652885 |
8,484,173 | 16 | 17 | 16. The computer-readable storage medium of claim 15 , wherein the operations further comprise assigning an identifier indicating changed elements to a remainder of the second document, wherein the remainder excludes the instances assigned the identifier indicating unchanged elements and the instances assigned the identifier indicating moved elements. | 16. The computer-readable storage medium of claim 15 , wherein the operations further comprise assigning an identifier indicating changed elements to a remainder of the second document, wherein the remainder excludes the instances assigned the identifier indicating unchanged elements and the instances assigned the identifier indicating moved elements. 17. The computer-readable storage medium of claim 16 , wherein the operations further comprise combining adjacent sets of matching elements into a group of matching elements. | 0.5 |
9,766,784 | 5 | 6 | 5. The system of claim 1 , wherein the operations further comprise: determining a fourth token value of the message element, different from the first token value and the second token value, from the token values; in response to receiving a second indication related to transitioning the message element to a third device display area of the device display, determining a third layout of the message comprising the message element displayed based on the third token value and the third device display area, wherein the determining the third layout comprises complying with the scaling rule that is related to the selectable ratio of an updated summed token area and the messaging environment area of the device display; and facilitating a third display of the message on the device display based on the third layout. | 5. The system of claim 1 , wherein the operations further comprise: determining a fourth token value of the message element, different from the first token value and the second token value, from the token values; in response to receiving a second indication related to transitioning the message element to a third device display area of the device display, determining a third layout of the message comprising the message element displayed based on the third token value and the third device display area, wherein the determining the third layout comprises complying with the scaling rule that is related to the selectable ratio of an updated summed token area and the messaging environment area of the device display; and facilitating a third display of the message on the device display based on the third layout. 6. The system of claim 5 , wherein the second device display area is related to display of the second message content, which is newer than the first message content and the third device display area is related to display of the first message content that is older than the second message content. | 0.527157 |
7,818,195 | 6 | 7 | 6. A system for reporting a call level view of a customer interaction with a contact center, comprising: a data collection tool configured to collect data from a plurality of source systems relating to a customer interaction with a contact center, wherein the plurality of source system comprises at least two systems from a group consisting of a computer telephony integration (CTI) system, an interactive voice response (IVR) system, an electronic mail system, a web collaboration system, and a facsimile system; a parsing engine configured to parse said data collected and for applying business rules to said data collected, wherein said business rules are applied to control a chronological reassembling of the data from the plurality of source systems to generate a start-to-finish call level view of all of the customer interactions with the contact center, wherein said parsing engine is configured to chronologically reassemble and summarize said data, and wherein said parsing engine is coupled to said data collection tool; a data warehouse component configured to store said summarized data, said data warehouse component being coupled to said data collection tool and said parsing engine; an analytics component configured to analyze said summarized data for any relationships, patterns and associations, said analytics component being coupled to said data warehouse and said parsing engine; a report generation component configured to create one or more reports from said summarized data that is analyzed; and an information delivery component configured to disseminate any reports generated in order to facilitate decisions that promote business development and optimize performance of said contact center. | 6. A system for reporting a call level view of a customer interaction with a contact center, comprising: a data collection tool configured to collect data from a plurality of source systems relating to a customer interaction with a contact center, wherein the plurality of source system comprises at least two systems from a group consisting of a computer telephony integration (CTI) system, an interactive voice response (IVR) system, an electronic mail system, a web collaboration system, and a facsimile system; a parsing engine configured to parse said data collected and for applying business rules to said data collected, wherein said business rules are applied to control a chronological reassembling of the data from the plurality of source systems to generate a start-to-finish call level view of all of the customer interactions with the contact center, wherein said parsing engine is configured to chronologically reassemble and summarize said data, and wherein said parsing engine is coupled to said data collection tool; a data warehouse component configured to store said summarized data, said data warehouse component being coupled to said data collection tool and said parsing engine; an analytics component configured to analyze said summarized data for any relationships, patterns and associations, said analytics component being coupled to said data warehouse and said parsing engine; a report generation component configured to create one or more reports from said summarized data that is analyzed; and an information delivery component configured to disseminate any reports generated in order to facilitate decisions that promote business development and optimize performance of said contact center. 7. The system according to claim 6 , wherein said plurality of source systems comprises at least three of: computing systems, telephony systems, interactive voice response (IVR) systems, workforce management applications, electronic mail systems, web collaboration systems, facsimile systems, wireless messaging systems, quality assurance applications and customer surveys. | 0.5 |
9,832,646 | 33 | 34 | 33. The system of claim 1 , wherein the processor further implements the first processing node and the second processing node for allowing the relevant network access and activity further by: detecting the at least one user has met the required threshold level of the verification criteria; communicating this success at the first and the second processing nodes to at least one of a user, device, session, network transmission, or provisioning system; and allowing the user access to or utilization of the network responsive to the detection. | 33. The system of claim 1 , wherein the processor further implements the first processing node and the second processing node for allowing the relevant network access and activity further by: detecting the at least one user has met the required threshold level of the verification criteria; communicating this success at the first and the second processing nodes to at least one of a user, device, session, network transmission, or provisioning system; and allowing the user access to or utilization of the network responsive to the detection. 34. The system of claim 33 , wherein the processor implements the first processing node and the second processing node for allowing the relevant network access and activity by continuously monitoring and verifying for a dynamic time period after allowing the relevant network access or activity, to ensure continued user identity and activity fidelity. | 0.5 |
9,858,918 | 19 | 20 | 19. The system of claim 11 wherein the third non-transitory module selectively executes the recovery process based on a priority scheme. | 19. The system of claim 11 wherein the third non-transitory module selectively executes the recovery process based on a priority scheme. 20. The system of claim 19 wherein the priority scheme is based on a level of interaction of a user. | 0.5 |
7,684,987 | 1 | 8 | 1. A speech processing system receiving an input related to one of speech and text and process the input to provide an output related to one of speech and text, the speech processing system comprising: a module derived from a phone set having a plurality of phones for a tonal language, wherein the tonal language comprises a plurality of different tones with different levels of pitch, the phones being used to model syllables used in the module, the syllables having an initial part and a final part, wherein at least some of the syllables of the tonal language include a glide, the glide being embodied in the initial part, and wherein the final part comprises a first temporal portion corresponding to a first relative pitch and a second temporal portion corresponding to a second relative pitch, wherein the first portion and the second portion jointly and implicitly carry tonal information, and wherein the different levels of pitch comprise at least two discrete categorical levels, and wherein each portion has a discrete categorical level associated with it; and a processor configured to receive an input related to one of speech and text and access the module to process the input to provide an output related to one of speech and text. | 1. A speech processing system receiving an input related to one of speech and text and process the input to provide an output related to one of speech and text, the speech processing system comprising: a module derived from a phone set having a plurality of phones for a tonal language, wherein the tonal language comprises a plurality of different tones with different levels of pitch, the phones being used to model syllables used in the module, the syllables having an initial part and a final part, wherein at least some of the syllables of the tonal language include a glide, the glide being embodied in the initial part, and wherein the final part comprises a first temporal portion corresponding to a first relative pitch and a second temporal portion corresponding to a second relative pitch, wherein the first portion and the second portion jointly and implicitly carry tonal information, and wherein the different levels of pitch comprise at least two discrete categorical levels, and wherein each portion has a discrete categorical level associated with it; and a processor configured to receive an input related to one of speech and text and access the module to process the input to provide an output related to one of speech and text. 8. The speech processing system of claim 1 wherein the tonal language comprises Chinese or a dialect thereof, such as Cantonese. | 0.668394 |
10,164,921 | 1 | 3 | 1. A method for voice-based social networking wherein for a temporal sequence of voice message segments, many of which augmented by an associated image file, segments are associated into new or existing conversations, wherein the association of a particular message with a conversation is accomplished through: applying an algorithm to the message data, where said algorithm incorporates a user dependent mathematical weighting of comment subject matters as inferred from text tags, audio tags, automated voice to text comment translation, image filename, image analysis and active users; and, comparing the output of said algorithm for said message to the output of said algorithm for a particular conversation where if the difference is small then the message is deemed part of said conversation. | 1. A method for voice-based social networking wherein for a temporal sequence of voice message segments, many of which augmented by an associated image file, segments are associated into new or existing conversations, wherein the association of a particular message with a conversation is accomplished through: applying an algorithm to the message data, where said algorithm incorporates a user dependent mathematical weighting of comment subject matters as inferred from text tags, audio tags, automated voice to text comment translation, image filename, image analysis and active users; and, comparing the output of said algorithm for said message to the output of said algorithm for a particular conversation where if the difference is small then the message is deemed part of said conversation. 3. The method of claim 1 , where the algorithm is a non-linear combination of comment subject matters. | 0.908273 |
5,483,243 | 13 | 16 | 13. A digital correlator for correlating a succession of received digital words in a serial bit stream with a reference digital word of bit length L having a reference word period, the correlator comprising: means for providing a set of ramp weights W(k), where k=1 to L/N, where N is a number of word segments comprising said received digital word, each word segment having L/N bits; ramp-weighting summing means for forming a ramp-weighted sum over each of said N word segments, said summing means comprising means for accumulating the respective sums of a product of a reference word bit with a product of a corresponding received bit comprising said segment with a ramp weight W(k) for each bit comprising said word segment; uniformly-weighting summing means for forming a uniformly-weighted sum over each of said N word segments, said summing means comprising means for accumulating the respective sums of a product of a reference word bit with a corresponding received word bit for each bit comprising said word segment; and means for forming a digital correlator output signal at a rate equal to the word segment rate, each output signal comprising a triangular-weighted sum of scaled versions of said ramp-weighted sums and said uniformly-weighted sums over a plurality of preceding word segments covering a predetermined plurality of received words, whereby degradation of said correlator performance caused by Doppler shift modulation on said received signals is reduced. | 13. A digital correlator for correlating a succession of received digital words in a serial bit stream with a reference digital word of bit length L having a reference word period, the correlator comprising: means for providing a set of ramp weights W(k), where k=1 to L/N, where N is a number of word segments comprising said received digital word, each word segment having L/N bits; ramp-weighting summing means for forming a ramp-weighted sum over each of said N word segments, said summing means comprising means for accumulating the respective sums of a product of a reference word bit with a product of a corresponding received bit comprising said segment with a ramp weight W(k) for each bit comprising said word segment; uniformly-weighting summing means for forming a uniformly-weighted sum over each of said N word segments, said summing means comprising means for accumulating the respective sums of a product of a reference word bit with a corresponding received word bit for each bit comprising said word segment; and means for forming a digital correlator output signal at a rate equal to the word segment rate, each output signal comprising a triangular-weighted sum of scaled versions of said ramp-weighted sums and said uniformly-weighted sums over a plurality of preceding word segments covering a predetermined plurality of received words, whereby degradation of said correlator performance caused by Doppler shift modulation on said received signals is reduced. 16. The correlator of claim 13 wherein said ramp weights W(k)=2k-1, k=1 to L/N. | 0.958157 |
8,892,417 | 15 | 23 | 15. The computer program product of claim 3 wherein the angle set data structure further comprises data for a plurality of story angles, the story angle data comprising, for each story angle (1) an identifier for that story angle, and (2) data representative of at least one applicability condition for that story angle. | 15. The computer program product of claim 3 wherein the angle set data structure further comprises data for a plurality of story angles, the story angle data comprising, for each story angle (1) an identifier for that story angle, and (2) data representative of at least one applicability condition for that story angle. 23. The computer program product of claim 15 wherein the plurality of instructions are further configured for computing an interestingness value based on the source data the derived features and at least one of the applicability conditions, and (2) generating the evaluation indicator based at least in part on the computed interestingness value. | 0.722311 |
10,122,670 | 16 | 17 | 16. The non-transitory computer-readable storage medium as recited in claim 15 , further comprising: identifying one or more translation ratings associated with the sender; and wherein determining whether to generate the second version of the electronic message in the second language for the identified recipient is further based on the one or more translation ratings. | 16. The non-transitory computer-readable storage medium as recited in claim 15 , further comprising: identifying one or more translation ratings associated with the sender; and wherein determining whether to generate the second version of the electronic message in the second language for the identified recipient is further based on the one or more translation ratings. 17. The non-transitory computer-readable storage medium as recited in claim 16 , further comprising: assigning a weight to each of one or more social networking activities associated with the recipient; and wherein determining whether to generate the second version of the electronic message in the second language for the identified recipient is further based on the assigned weights. | 0.5 |
7,478,342 | 18 | 19 | 18. The machine-readable medium of claim 17 , wherein receiving the commands comprises receiving pass-through and preview commands, including the first and second commands, in any order, and the operations further comprise doing and undoing the preview commands in response to changes to the preview control. | 18. The machine-readable medium of claim 17 , wherein receiving the commands comprises receiving pass-through and preview commands, including the first and second commands, in any order, and the operations further comprise doing and undoing the preview commands in response to changes to the preview control. 19. The machine-readable medium of claim 18 , wherein retaining commands in the command sequence comprises prioritizing pass-through commands over preview commands. | 0.56383 |
6,012,072 | 11 | 13 | 11. A display controller as in claim 9 wherein said ordered sequence comprises a staggered overlapping arrangement such that at least some of said child documents are rendered in a piled configuration within the workspace. | 11. A display controller as in claim 9 wherein said ordered sequence comprises a staggered overlapping arrangement such that at least some of said child documents are rendered in a piled configuration within the workspace. 13. A display controller as in claim 11 wherein said staggered overlapping arrangement comprises a spiral progression. | 0.549618 |
8,191,038 | 10 | 11 | 10. A computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for converting a template written in a templating language, the method comprising: receiving the template in the templating language at a translator; compiling the template with the translator create a function in the host language; merging the function in the host language with a subset of code written in the host language; converting the subset of code written in the host language into a safe subset of code written in the host language, wherein the safe subset of code written in the host language adheres to a pre-determined schema and a pre-determined set of constraints; and translating the safe subset of code written in the host language to a subset of code written in a templated language, wherein the translating comprises: determining that an element within the safe subset of code written in the host language comprises a dynamic value, and wrapping the dynamic value with host language code that allows the dynamic value to be translated to the templated language upon execution of the subset of code written in the templated language. | 10. A computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for converting a template written in a templating language, the method comprising: receiving the template in the templating language at a translator; compiling the template with the translator create a function in the host language; merging the function in the host language with a subset of code written in the host language; converting the subset of code written in the host language into a safe subset of code written in the host language, wherein the safe subset of code written in the host language adheres to a pre-determined schema and a pre-determined set of constraints; and translating the safe subset of code written in the host language to a subset of code written in a templated language, wherein the translating comprises: determining that an element within the safe subset of code written in the host language comprises a dynamic value, and wrapping the dynamic value with host language code that allows the dynamic value to be translated to the templated language upon execution of the subset of code written in the templated language. 11. The computer-readable storage medium of claim 10 , wherein the subset of code written in the templated language comprises a function that produces a capability of the templated language, wherein the function takes zero or more parameters. | 0.812983 |
6,122,661 | 1 | 12 | 1. A system for facilitating information transfer between a host computer and a client computer via a server computer, comprising: a host computer comprising a memory within which a presentation space buffer storing computer display information is configured and a communications interface enabling information exchanges using data streams, including transmission of the presentation space buffer as a presentation space data stream; a client computer comprising a web browser application displaying a markup language document and forwarding user inputs; and a server computer topologically intermediate to the host computer and the client computer and comprising: a server application framework comprising a display control interfacing to the host computer via a communications medium over which data streams are exchanged, including the transmitted presentation space data stream, and a host extension converting the transmitted presentation space data stream into a markup language document having instructions that identify position information for a cursor on a Web page and for modifying the presentation space buffer in the host; and a web server application interfacing to the client computer via a network medium over which the markup language document is served and the forwarded user inputs received. | 1. A system for facilitating information transfer between a host computer and a client computer via a server computer, comprising: a host computer comprising a memory within which a presentation space buffer storing computer display information is configured and a communications interface enabling information exchanges using data streams, including transmission of the presentation space buffer as a presentation space data stream; a client computer comprising a web browser application displaying a markup language document and forwarding user inputs; and a server computer topologically intermediate to the host computer and the client computer and comprising: a server application framework comprising a display control interfacing to the host computer via a communications medium over which data streams are exchanged, including the transmitted presentation space data stream, and a host extension converting the transmitted presentation space data stream into a markup language document having instructions that identify position information for a cursor on a Web page and for modifying the presentation space buffer in the host; and a web server application interfacing to the client computer via a network medium over which the markup language document is served and the forwarded user inputs received. 12. A system according to claim 1, wherein the markup language documents are written in HyperText Markup Language (HTML). | 0.904574 |
9,531,581 | 6 | 7 | 6. A computer-implemented method for automatically registering unique identifiers of network resources, the method comprising: as implemented in one or more computer systems configured with specific computer-executable instructions, programmatically identifying a source of information from which a set of characters can be acquired from information retrieved from a network resource in communication with the one or more configured computer systems; analyzing the programmatically identified source of information for a statistically improbable phrase or an atomic term; identifying a unique identifier candidate from the statistically improbable phrase or the atomic term; detecting that a value representing a significance of the unique identifier candidate satisfies a threshold indicating that the unique identifier candidate is desirable; determining that the unique identifier candidate is available for registration; and automatically registering the unique identifier candidate as a unique identifier in response to said detecting and said determining. | 6. A computer-implemented method for automatically registering unique identifiers of network resources, the method comprising: as implemented in one or more computer systems configured with specific computer-executable instructions, programmatically identifying a source of information from which a set of characters can be acquired from information retrieved from a network resource in communication with the one or more configured computer systems; analyzing the programmatically identified source of information for a statistically improbable phrase or an atomic term; identifying a unique identifier candidate from the statistically improbable phrase or the atomic term; detecting that a value representing a significance of the unique identifier candidate satisfies a threshold indicating that the unique identifier candidate is desirable; determining that the unique identifier candidate is available for registration; and automatically registering the unique identifier candidate as a unique identifier in response to said detecting and said determining. 7. The computer-implemented method of claim 6 , wherein the unique identifier is a domain name and the unique identifier candidate is a domain name candidate. | 0.545977 |
9,196,310 | 1 | 11 | 1. A method for retrieving web content relating to one or more items of video content maintained on a storage media item, the method comprising: extracting at least one of caption and subtitle content associated with the one or more items of a video content; segmenting the extracted at least one of caption and subtitle content into one or more text segments; generating a description characterizing the video content based on the one or more text segments; receiving a query for one or more items of the video content from a user; retrieving the description and at least one text segment based on the query; retrieving one or more related items of web content corresponding to the at least one text segment; and providing the one or more related items of web content and the video content with the description and the at least one text segment to the user. | 1. A method for retrieving web content relating to one or more items of video content maintained on a storage media item, the method comprising: extracting at least one of caption and subtitle content associated with the one or more items of a video content; segmenting the extracted at least one of caption and subtitle content into one or more text segments; generating a description characterizing the video content based on the one or more text segments; receiving a query for one or more items of the video content from a user; retrieving the description and at least one text segment based on the query; retrieving one or more related items of web content corresponding to the at least one text segment; and providing the one or more related items of web content and the video content with the description and the at least one text segment to the user. 11. The method of claim 1 , wherein the caption content, the subtitle content, the description and the video content are indexed associated with the one or more text segments. | 0.694056 |
8,155,399 | 1 | 6 | 1. A method for image alignment, comprising: obtaining a positive class of input by warping image data according to ground truth shape parameters; obtaining a negative class of input by warping the image data according to perturbed shape parameters; and training an appearance model based on the positive and negative classes of input. | 1. A method for image alignment, comprising: obtaining a positive class of input by warping image data according to ground truth shape parameters; obtaining a negative class of input by warping the image data according to perturbed shape parameters; and training an appearance model based on the positive and negative classes of input. 6. The method of claim 1 , comprising generating a plurality of negative samples for each positive sample in the positive class of input. | 0.543333 |
9,916,305 | 3 | 6 | 3. The method of claim 2 , further comprising: generating a score for the first translation of the initial term and a score for the second translation of the initial term; determining that the score for the first translation of the initial term exceeds the score for the second translation of the initial term; and wherein: locating the at least one translation of the initial term comprises locating the first translation of the initial term using the first translation identifier based on determining the score for the first translation exceeds the score for the second translation; and providing the at least one translation of the initial term as a translation of the new term comprises providing the first translation of the initial term as the translation of the new term. | 3. The method of claim 2 , further comprising: generating a score for the first translation of the initial term and a score for the second translation of the initial term; determining that the score for the first translation of the initial term exceeds the score for the second translation of the initial term; and wherein: locating the at least one translation of the initial term comprises locating the first translation of the initial term using the first translation identifier based on determining the score for the first translation exceeds the score for the second translation; and providing the at least one translation of the initial term as a translation of the new term comprises providing the first translation of the initial term as the translation of the new term. 6. The method of claim 3 , wherein generating the scores for the first translation of the initial term and for the second translation of the initial term comprises generating user appraisal scores for the first translation of the initial term and for the second translation of the initial term based on input from a plurality of users of the digital communication system. | 0.60865 |
9,235,806 | 7 | 9 | 7. A method comprising: obtaining user context information associated with a user; identifying, based on a plurality of concepts in a first knowledge representation (KR), a group of one or more concepts relevant to the user context information; and providing the identified group of one or more concepts to the user, wherein the first KR includes a combination of modules, the modules including a kernel and a customized module, the kernel being accessible via a second KR, the customized module being customized for the user, and wherein the identifying and the providing are performed at least in part by using at least one processor and a data structure representing the first KR, wherein the customized module is a first customized module, wherein the modules further include a second customized module, the second customized module being customized for the user, and wherein there is a difference between the first and second customized modules. | 7. A method comprising: obtaining user context information associated with a user; identifying, based on a plurality of concepts in a first knowledge representation (KR), a group of one or more concepts relevant to the user context information; and providing the identified group of one or more concepts to the user, wherein the first KR includes a combination of modules, the modules including a kernel and a customized module, the kernel being accessible via a second KR, the customized module being customized for the user, and wherein the identifying and the providing are performed at least in part by using at least one processor and a data structure representing the first KR, wherein the customized module is a first customized module, wherein the modules further include a second customized module, the second customized module being customized for the user, and wherein there is a difference between the first and second customized modules. 9. The method of claim 7 , wherein the first customized module includes a first concept and/or first relationship relevant to first activity of the user, and wherein the second customized module includes a second concept and/or second relationship relevant to second activity of the user. | 0.5 |
8,037,064 | 1 | 17 | 1. A method for providing an optimal landing page associated with on-line marketing of products or services in response to a query, the method comprising: receiving a query string; identifying one or more keywords from the received query string, the identified keywords comprising a representative keyword and a detailed keyword that are associated with a keyword advertisement associated with the on-line marketing, the on-line marketing comprises generating a keyword-linked page and an anchor-tagged page to link one or more related pages of the keyword-linked page, wherein the representative keyword is correlated to the keyword-linked page and the detailed keyword is at least one remaining keyword excluding the representative keyword from the identified keywords; determining a plurality of values with respect to each of the correlated representative keyword and the detailed keyword corresponding to the respective keyword-linked page and the anchor-tagged page, wherein each value is determined based on a number of occurrences of the correlated representative keyword and the detailed keyword based on the query string with respect to the keyword-linked page and the anchor-tagged page; and providing an optimal landing page by ranking the determined values of one or more located anchor-tagged pages associated with the keyword-linked page. | 1. A method for providing an optimal landing page associated with on-line marketing of products or services in response to a query, the method comprising: receiving a query string; identifying one or more keywords from the received query string, the identified keywords comprising a representative keyword and a detailed keyword that are associated with a keyword advertisement associated with the on-line marketing, the on-line marketing comprises generating a keyword-linked page and an anchor-tagged page to link one or more related pages of the keyword-linked page, wherein the representative keyword is correlated to the keyword-linked page and the detailed keyword is at least one remaining keyword excluding the representative keyword from the identified keywords; determining a plurality of values with respect to each of the correlated representative keyword and the detailed keyword corresponding to the respective keyword-linked page and the anchor-tagged page, wherein each value is determined based on a number of occurrences of the correlated representative keyword and the detailed keyword based on the query string with respect to the keyword-linked page and the anchor-tagged page; and providing an optimal landing page by ranking the determined values of one or more located anchor-tagged pages associated with the keyword-linked page. 17. The method of claim 1 , further comprising: receiving a text input; and preprocessing the text input to generate the query string comprising the text string. | 0.860967 |
9,867,012 | 6 | 15 | 6. A method for detecting whispered speech of a user of a mobile computerized device, the method comprises: detecting, by the mobile computerized device, whispered speech context; and attempting to detect, by the mobile computerized device and by using whispered speech detection parameters, the whispered speech; wherein at least one whispered speech detection parameter of the whispered speech detection parameters differs from at least one corresponding non-whispered speech parameter that is used for detecting non-whispered speech; wherein the detecting of the whispered speech context is responsive to a location of the mobile computerized device; wherein the method comprises determining the location of the mobile computerized device based on short range transmitted content received by the mobile computerized device; and wherein the short range transmitted content received by the mobile computerized device is a targeted advertisement that has a local distribution. | 6. A method for detecting whispered speech of a user of a mobile computerized device, the method comprises: detecting, by the mobile computerized device, whispered speech context; and attempting to detect, by the mobile computerized device and by using whispered speech detection parameters, the whispered speech; wherein at least one whispered speech detection parameter of the whispered speech detection parameters differs from at least one corresponding non-whispered speech parameter that is used for detecting non-whispered speech; wherein the detecting of the whispered speech context is responsive to a location of the mobile computerized device; wherein the method comprises determining the location of the mobile computerized device based on short range transmitted content received by the mobile computerized device; and wherein the short range transmitted content received by the mobile computerized device is a targeted advertisement that has a local distribution. 15. The method according to claim 6 , wherein the attempting to detect the whispered speech comprises: applying a whispered speech trigger detection process for detecting a whispered speech trigger; and wherein a detecting of the whispered speech trigger is followed by applying a whispered speech recognition process for detecting the whispered speech; and wherein the whispered speech recognition process differs from the whispered speech trigger detection process. | 0.5 |
9,576,400 | 1 | 5 | 1. A computer-implemented method performed by one or more processors, comprising: presenting an avatar editing environment on a display of a device, the avatar editing environment including a plurality of editing zones; displaying an avatar model in the avatar editing environment, the avatar model including a plurality of avatar elements, each avatar element positioned in a respective editing zone; receiving first input selecting an editing zone; in response to receiving the first input, displaying, in the selected editing zone and in an image layer either over or below an avatar element image layer displayed in the selected editing zone, the avatar element image layer including the avatar element, selection elements selectable to modify the avatar element displayed in the selected editing zone; receiving a second input selecting a selection element; in response to receiving the second input, displaying a different avatar element in place of the avatar element in the selected editing zone; and rendering the avatar model in the avatar editing environment, the avatar model including the different avatar element. | 1. A computer-implemented method performed by one or more processors, comprising: presenting an avatar editing environment on a display of a device, the avatar editing environment including a plurality of editing zones; displaying an avatar model in the avatar editing environment, the avatar model including a plurality of avatar elements, each avatar element positioned in a respective editing zone; receiving first input selecting an editing zone; in response to receiving the first input, displaying, in the selected editing zone and in an image layer either over or below an avatar element image layer displayed in the selected editing zone, the avatar element image layer including the avatar element, selection elements selectable to modify the avatar element displayed in the selected editing zone; receiving a second input selecting a selection element; in response to receiving the second input, displaying a different avatar element in place of the avatar element in the selected editing zone; and rendering the avatar model in the avatar editing environment, the avatar model including the different avatar element. 5. The method of claim 1 , wherein rendering the avatar model comprises: rendering a two-dimensional texture representing the avatar element on the avatar model. | 0.843689 |
8,959,427 | 15 | 21 | 15. A computer program product, comprising: a non-transitory computer-readable medium having computer-readable program instructions embodied therein that when executed by a computer cause the computer to generate JavaScript based HTML website layouts, the computer-readable program instructions comprising: computer-readable program instructions to receive a request to generate a website; computer-readable program instructions to generate a Hypertext Markup Language (HTML) website, wherein the HTML website comprises at least: a first HTML content block, wherein the first HTML content block comprises static HTML content and a first HTML identification code (ID), and at least one second HTML content block, wherein the second HTML content block comprises a second HTML ID; computer-readable program instructions to receive a request to move the static HTML content from the first HTML content block to the second HTML content block; computer-readable program instructions to input the first HTML ID of the first HTML content block as an origin of the static HTML content and the second HTML ID of the second HTML content block as a destination for the static HTML content; computer-readable program instructions to re-write the static HTML content from the origin HTML content block to the destination HTML content block, based on the HTML ID input; and computer-readable program instructions to remove the first HTML content block. | 15. A computer program product, comprising: a non-transitory computer-readable medium having computer-readable program instructions embodied therein that when executed by a computer cause the computer to generate JavaScript based HTML website layouts, the computer-readable program instructions comprising: computer-readable program instructions to receive a request to generate a website; computer-readable program instructions to generate a Hypertext Markup Language (HTML) website, wherein the HTML website comprises at least: a first HTML content block, wherein the first HTML content block comprises static HTML content and a first HTML identification code (ID), and at least one second HTML content block, wherein the second HTML content block comprises a second HTML ID; computer-readable program instructions to receive a request to move the static HTML content from the first HTML content block to the second HTML content block; computer-readable program instructions to input the first HTML ID of the first HTML content block as an origin of the static HTML content and the second HTML ID of the second HTML content block as a destination for the static HTML content; computer-readable program instructions to re-write the static HTML content from the origin HTML content block to the destination HTML content block, based on the HTML ID input; and computer-readable program instructions to remove the first HTML content block. 21. The computer program product of claim 15 , wherein: the request to move static HTML content from the first HTML content block to the second HTML content block is initiated by a script language listening function, the re-writing is performed by a script language re-writing function, and the removing is performed by a script language removing function. | 0.5 |
8,560,326 | 12 | 16 | 12. An apparatus for use in indicating a dialogue turn in an automated speech-to-speech translation system, comprising: a memory; and at least one processor coupled to the memory and operative to: (i) translate speech input from a plurality of speakers having a multilingual conversation using an automated speech-to-speech translation system; (ii) provide an indication to each speaker of the plurality of speakers of when it is a turn of each speaker to commence speaking in a dialog interact between the plurality of speakers and provide speech input to the automated speech-to-speech translation system, wherein the at least one processor is operative to provide an indication by: obtaining one or more previously-generated text-based scripts, the one or more text-based scripts being synthesizable into one or more voice prompts in different languages of the plurality of speakers, wherein the voice prompts are audible messages that notify a given speaker when it is a turn of the given speaker for inputting speech to the automated speech-to-speech translation system; synthesizing for playback at least one of the one or more voice prompts from at least one of the one or more text-based scripts, the at least one synthesized voice prompt comprising an audible message in a language understandable to the given speaker to notify the given speaker when it is a turn of the given speaker for inputting speech to the automated speech-to-speech translation system; and playing the at least one synthesized voice prompt to provide the audible message to the given speaker to notify the given speaker that it is the given speaker's turn for inputting speech to the automated speech-to-speech translation system. | 12. An apparatus for use in indicating a dialogue turn in an automated speech-to-speech translation system, comprising: a memory; and at least one processor coupled to the memory and operative to: (i) translate speech input from a plurality of speakers having a multilingual conversation using an automated speech-to-speech translation system; (ii) provide an indication to each speaker of the plurality of speakers of when it is a turn of each speaker to commence speaking in a dialog interact between the plurality of speakers and provide speech input to the automated speech-to-speech translation system, wherein the at least one processor is operative to provide an indication by: obtaining one or more previously-generated text-based scripts, the one or more text-based scripts being synthesizable into one or more voice prompts in different languages of the plurality of speakers, wherein the voice prompts are audible messages that notify a given speaker when it is a turn of the given speaker for inputting speech to the automated speech-to-speech translation system; synthesizing for playback at least one of the one or more voice prompts from at least one of the one or more text-based scripts, the at least one synthesized voice prompt comprising an audible message in a language understandable to the given speaker to notify the given speaker when it is a turn of the given speaker for inputting speech to the automated speech-to-speech translation system; and playing the at least one synthesized voice prompt to provide the audible message to the given speaker to notify the given speaker that it is the given speaker's turn for inputting speech to the automated speech-to-speech translation system. 16. The apparatus of claim 12 , wherein the at least one processor is further operative to recognize speech uttered by the given speaker interacting with the speech-to-speech translation system. | 0.668942 |
8,533,199 | 1 | 10 | 1. A computer-implemented method for creating an intelligent bookmark to a document, comprising: displaying the document comprising at least an address, a title, and a body; receiving a user selection of content from a portion of the body of the document and user supplemented information; generating the intelligent bookmark by retrieving the address of the document, and by automatically extracting identifier information from the body of the document within the user selection; and storing the address in association with the identifier information and the user supplemented information. | 1. A computer-implemented method for creating an intelligent bookmark to a document, comprising: displaying the document comprising at least an address, a title, and a body; receiving a user selection of content from a portion of the body of the document and user supplemented information; generating the intelligent bookmark by retrieving the address of the document, and by automatically extracting identifier information from the body of the document within the user selection; and storing the address in association with the identifier information and the user supplemented information. 10. The method of claim 1 , further comprising: tracking a version of the intelligent bookmark to reflect changes to the document. | 0.771127 |
9,570,065 | 16 | 18 | 16. The at least one non-transitory computer-readable storage medium of claim 15 , wherein the identifying comprises: identifying the second speech segment based, at least in part, on how well acoustic characteristics of the second speech segment match acoustic characteristics associated with the desired speaking style. | 16. The at least one non-transitory computer-readable storage medium of claim 15 , wherein the identifying comprises: identifying the second speech segment based, at least in part, on how well acoustic characteristics of the second speech segment match acoustic characteristics associated with the desired speaking style. 18. The at least one non-transitory computer-readable storage medium of claim 16 , wherein identifying the second speech segment comprises: calculating a value indicative of how well the acoustic characteristics of the second speech segment match acoustic characteristics associated with the desired speaking style. | 0.5 |
8,141,065 | 13 | 17 | 13. A non-transitory computer-readable medium storing a software program that, when executed by a computer, causes the computer to perform a method for dynamically instantiating a portion of a call flow graph having a plurality of states and a plurality of state transitions, comprising: executing the graph, wherein the graph comprises a defined portion and an undefined portion, wherein a plurality of tokens traverse the graph executing functions; in response to one of the tokens detecting the undefined portion of the graph, suspending the one of the tokens that detected the undefined portion of the graph; generating a new portion of the graph for the undefined portion of the graph, said step of generating the new portion of the graph comprising: generating at least one definition file for the undefined portion of the graph; and executing the at least one definition file to form thereby the new portion of the graph; replacing the undefined portion of the graph with the new portion of the graph; and releasing the suspended token. | 13. A non-transitory computer-readable medium storing a software program that, when executed by a computer, causes the computer to perform a method for dynamically instantiating a portion of a call flow graph having a plurality of states and a plurality of state transitions, comprising: executing the graph, wherein the graph comprises a defined portion and an undefined portion, wherein a plurality of tokens traverse the graph executing functions; in response to one of the tokens detecting the undefined portion of the graph, suspending the one of the tokens that detected the undefined portion of the graph; generating a new portion of the graph for the undefined portion of the graph, said step of generating the new portion of the graph comprising: generating at least one definition file for the undefined portion of the graph; and executing the at least one definition file to form thereby the new portion of the graph; replacing the undefined portion of the graph with the new portion of the graph; and releasing the suspended token. 17. The computer-readable medium of claim 13 , wherein at least one other token traverses the defined portion of the graph at least while the new portion of the graph is defined. | 0.710098 |
9,961,388 | 42 | 45 | 42. The system of claim 39 : wherein the client device and the networked device reside on networks that are incommunicable with each other comprising at least one of a firewall separation, a different network separation, a physical separation, and an unreachable connection separation, and wherein the sandboxed application of the security sandbox of the client device and the sandbox reachable service of the networked device communicate with each other through a relay service employed by the pairing server having the discovery module and the relay module to facilitate a trusted communication between the sandboxed application and the sandbox reachable service. | 42. The system of claim 39 : wherein the client device and the networked device reside on networks that are incommunicable with each other comprising at least one of a firewall separation, a different network separation, a physical separation, and an unreachable connection separation, and wherein the sandboxed application of the security sandbox of the client device and the sandbox reachable service of the networked device communicate with each other through a relay service employed by the pairing server having the discovery module and the relay module to facilitate a trusted communication between the sandboxed application and the sandbox reachable service. 45. The system of claim 42 , wherein the client device: initiates the relay service through at least one of a series of web pages where information is communicated using hyperlinks that point at the pairing server, and a form having a confirmation dialog that is submitted back to the pairing server, and wherein a global unique identifier is masked through the pairing server when the confirmation dialog is served from the pairing server. | 0.650794 |
9,743,357 | 1 | 15 | 1. An energy harvesting communication device configured with means for boosting signal reception, the communication device comprising: a. at least a cell platform; b. at least a charging circuit apparatus; c. at least a control apparatus; d. at least a communication apparatus communicatively coupled to said charging circuit apparatus and in association with the control apparatus; and e. said cell platform further disposed with sensors embedded in silicon substrate to provide at least one of a communication medium, a detection platform, a communication clarity, a detection selectivity, and a detection sensitivity. | 1. An energy harvesting communication device configured with means for boosting signal reception, the communication device comprising: a. at least a cell platform; b. at least a charging circuit apparatus; c. at least a control apparatus; d. at least a communication apparatus communicatively coupled to said charging circuit apparatus and in association with the control apparatus; and e. said cell platform further disposed with sensors embedded in silicon substrate to provide at least one of a communication medium, a detection platform, a communication clarity, a detection selectivity, and a detection sensitivity. 15. The energy harvesting communication device of claim 1 , wherein said control apparatus further comprises a logic circuit in communication with at least a detection platform, wherein said detection platform generating detection signals responsive to movements of at least one of: character; objects; keypads; energy; electrical signals; vibration energy; force energy; pressure energy, and wherein said logic circuit operable for controlling an application responsive to said at least one detection signal for generating electrical energy. | 0.878639 |
7,860,704 | 6 | 9 | 6. At least one computer-readable storage medium excluding signal or carrier wave type of medium, comprising computer-readable instructions that, when executed by a computer, cause the computer to perform a method comprising: analyzing a plurality of web pages; identifying, in response to the analyzing, a plurality of lexicons indicated by the plurality of web pages, wherein keywords of each lexicon of the plurality of lexicons are based on conventional sources including dictionaries, and wherein the keywords of each lexicon include terms related to a subject of the plurality of web pages, and wherein each lexicon represents a different subject; determining, in response to the identifying, that at least one lexicon of the plurality of lexicons corresponds to a web page of the plurality of web pages; storing, in response to the determining, the keywords of the at least one lexicon in association with the corresponding web page; receiving a request to access the corresponding web page; retrieving, based on the receiving, the stored keywords of the at least one of the lexicons that correspond to the corresponding web page; displaying the corresponding web page; highlighting, in the displayed web page, words in the displayed web page that match the retrieved keywords. | 6. At least one computer-readable storage medium excluding signal or carrier wave type of medium, comprising computer-readable instructions that, when executed by a computer, cause the computer to perform a method comprising: analyzing a plurality of web pages; identifying, in response to the analyzing, a plurality of lexicons indicated by the plurality of web pages, wherein keywords of each lexicon of the plurality of lexicons are based on conventional sources including dictionaries, and wherein the keywords of each lexicon include terms related to a subject of the plurality of web pages, and wherein each lexicon represents a different subject; determining, in response to the identifying, that at least one lexicon of the plurality of lexicons corresponds to a web page of the plurality of web pages; storing, in response to the determining, the keywords of the at least one lexicon in association with the corresponding web page; receiving a request to access the corresponding web page; retrieving, based on the receiving, the stored keywords of the at least one of the lexicons that correspond to the corresponding web page; displaying the corresponding web page; highlighting, in the displayed web page, words in the displayed web page that match the retrieved keywords. 9. The at least one computer-readable storage medium of claim 6 , the method further comprising: correlating the plurality of web pages based on the plurality of lexicons; and creating, based on the correlating, associations between web pages of the plurality of web pages and between the web pages and the plurality of lexicons. | 0.5 |
9,251,221 | 1 | 20 | 1. A method, comprising: accessing, by one or more processing devices, a set of events, wherein each event in the set of events is associated with a time stamp and includes a portion of machine data indicative of performance or operation of an information technology environment; accessing an object-scoring rule that (i) includes a search query that determines when events meet a triggering condition; (ii) identifies an object representing a component of the information technology environment, an application running in the information technology environment, or a person using a component in the information technology environment, and (iii) specifies a numerical contribution to a score for the object, the numerical contribution to be applied to the score based at least on part on a determination that the triggering condition is met; executing the search query of the object-scoring rule against the set of events to determine if the triggering condition of the object-scoring rule is met; based on determining that the triggering condition is met, generating a record of the numerical contribution specified in the object-scoring rule, the record associating the numerical contribution with a time indicator and indicating the object whose score should be affected by the contribution; identifying, using one or more records of numerical contributions, a set of numerical contributions having associated time indicators falling within a defined time period; and calculating the score for the object based on the set of numerical contributions, wherein the score indicates at least one of: an indication of a security risk posed by the component or person that the object represents, an indication of performance of the component of the information technology environment that the object represents, or an indication of performance of the application that the object represents. | 1. A method, comprising: accessing, by one or more processing devices, a set of events, wherein each event in the set of events is associated with a time stamp and includes a portion of machine data indicative of performance or operation of an information technology environment; accessing an object-scoring rule that (i) includes a search query that determines when events meet a triggering condition; (ii) identifies an object representing a component of the information technology environment, an application running in the information technology environment, or a person using a component in the information technology environment, and (iii) specifies a numerical contribution to a score for the object, the numerical contribution to be applied to the score based at least on part on a determination that the triggering condition is met; executing the search query of the object-scoring rule against the set of events to determine if the triggering condition of the object-scoring rule is met; based on determining that the triggering condition is met, generating a record of the numerical contribution specified in the object-scoring rule, the record associating the numerical contribution with a time indicator and indicating the object whose score should be affected by the contribution; identifying, using one or more records of numerical contributions, a set of numerical contributions having associated time indicators falling within a defined time period; and calculating the score for the object based on the set of numerical contributions, wherein the score indicates at least one of: an indication of a security risk posed by the component or person that the object represents, an indication of performance of the component of the information technology environment that the object represents, or an indication of performance of the application that the object represents. 20. The method of claim 1 , wherein executing the search query comprises using an extraction rule or regular expression to the portion of machine data in an event to derive a value for a field. | 0.85085 |
10,109,275 | 9 | 10 | 9. A system for selecting a word, the system comprising: at least one computer comprising at least one processor and at least one memory, the at least one computer configured to: compute a word hash vector for each word of a vocabulary of words; receive a sequence of words; generating a sequence of word hash vectors by obtaining a word hash vector for each word of the sequence of words; process the sequence of word hash vectors with a layer of a language model to compute an output vector; quantize the output vector to obtain an output word hash vector; determine a distance between the output word hash vector and a first hash vector for a first word in the vocabulary; and select the first word from the vocabulary using the distance between the output word hash vector and the first hash vector for the first word. | 9. A system for selecting a word, the system comprising: at least one computer comprising at least one processor and at least one memory, the at least one computer configured to: compute a word hash vector for each word of a vocabulary of words; receive a sequence of words; generating a sequence of word hash vectors by obtaining a word hash vector for each word of the sequence of words; process the sequence of word hash vectors with a layer of a language model to compute an output vector; quantize the output vector to obtain an output word hash vector; determine a distance between the output word hash vector and a first hash vector for a first word in the vocabulary; and select the first word from the vocabulary using the distance between the output word hash vector and the first hash vector for the first word. 10. The system of claim 9 , wherein the at least one computer is configured to: compute a word embedding for each word of the vocabulary of words; and compute the word hash vector for a word using the word embedding for the word. | 0.5 |
9,710,444 | 16 | 18 | 16. A computing system comprising: at least one processor; and memory storing instructions executable by the at least one processor, wherein the instructions, when executed, configure the computing system to: obtain a plurality of research items, each research item being indicative of corresponding research material; display a user interface having a research organization display space and a document workspace, wherein the document workspace is visually separate from the research organization display space and includes a user input mechanism for modifying document content from the document that is displayed in the document workspace, the document content comprising content other than the research material; display the plurality of research items in the research organization display space, wherein each research item is represented in the research organization display space by a user interface element having a content portion that visually indicates the corresponding research material for the research item; receive a user modification input through the user input mechanism in the document workspace; based on the user modification input, modify the document content displayed in the document workspace; receive a user co-location input; based on the user co-location input, select one of the research items displayed in the research organization display space and select a location in the document content from the document; generate an association between the selected location in the document content and the selected research item; and modify the user interface display to visually represent the generated association between the selected research item and the selected location, wherein the modified user interface display comprises at least one of: a portion of the corresponding research material, for the selected research item, added at the selected location in the document content; and a link, to the selected research item, placed at the selected location in the document content. | 16. A computing system comprising: at least one processor; and memory storing instructions executable by the at least one processor, wherein the instructions, when executed, configure the computing system to: obtain a plurality of research items, each research item being indicative of corresponding research material; display a user interface having a research organization display space and a document workspace, wherein the document workspace is visually separate from the research organization display space and includes a user input mechanism for modifying document content from the document that is displayed in the document workspace, the document content comprising content other than the research material; display the plurality of research items in the research organization display space, wherein each research item is represented in the research organization display space by a user interface element having a content portion that visually indicates the corresponding research material for the research item; receive a user modification input through the user input mechanism in the document workspace; based on the user modification input, modify the document content displayed in the document workspace; receive a user co-location input; based on the user co-location input, select one of the research items displayed in the research organization display space and select a location in the document content from the document; generate an association between the selected location in the document content and the selected research item; and modify the user interface display to visually represent the generated association between the selected research item and the selected location, wherein the modified user interface display comprises at least one of: a portion of the corresponding research material, for the selected research item, added at the selected location in the document content; and a link, to the selected research item, placed at the selected location in the document content. 18. The computing system of claim 16 , wherein the instructions configure the computing system to: receive a user capture input identifying research material to be captured; and generate a research item corresponding to the identified research material to be captured, the generated research item being included in the obtained plurality of research items. | 0.626834 |
10,102,234 | 18 | 19 | 18. The non-transitory computer-readable medium of claim 15 , where the one or more instructions, that cause the one or more processors to provide the dimension hierarchy file, cause the one or more processors to: provide a configuration file, the configuration file specifying: the at least one data source, one or more dimensions to map each of the plurality of items in the at least one data source, and a display priority for each of the plurality of items; read data from the at least one data source specified in the configuration file to identify the plurality of items; convert the plurality of items identified in the at least one data source to a plurality of tagged records; and generate, based on the plurality of tagged records, the dimension hierarchy file using the configuration file. | 18. The non-transitory computer-readable medium of claim 15 , where the one or more instructions, that cause the one or more processors to provide the dimension hierarchy file, cause the one or more processors to: provide a configuration file, the configuration file specifying: the at least one data source, one or more dimensions to map each of the plurality of items in the at least one data source, and a display priority for each of the plurality of items; read data from the at least one data source specified in the configuration file to identify the plurality of items; convert the plurality of items identified in the at least one data source to a plurality of tagged records; and generate, based on the plurality of tagged records, the dimension hierarchy file using the configuration file. 19. The non-transitory computer-readable medium of claim 18 , where the one or more instructions, that cause the one or more processors to generate the dimension hierarchy file, cause the one or more processors to: generate the dimension hierarchy file based on applying ranking logic using at least one of a boost list or a bury list. | 0.5 |
9,444,793 | 32 | 39 | 32. A system for securing data transmitted between a client device and a server comprising: a memory; and a controller configured to: obtain input text sent from the client device to the server; process said input text to obtain processed text, wherein said controller is configured to process said input text by: when the input text is not to be searchable by the server, transforming the input text non-deterministically or a combination of deterministically and non-deterministically, using at least one key, to obtain processed text; and when the input text is to be searchable by the server, transforming said input text deterministically, using at least one key to obtain processed text, and including a statistically significant feature in the processed text, the feature including a rarely used character or group of characters; and transmit the processed text to the server. | 32. A system for securing data transmitted between a client device and a server comprising: a memory; and a controller configured to: obtain input text sent from the client device to the server; process said input text to obtain processed text, wherein said controller is configured to process said input text by: when the input text is not to be searchable by the server, transforming the input text non-deterministically or a combination of deterministically and non-deterministically, using at least one key, to obtain processed text; and when the input text is to be searchable by the server, transforming said input text deterministically, using at least one key to obtain processed text, and including a statistically significant feature in the processed text, the feature including a rarely used character or group of characters; and transmit the processed text to the server. 39. The system of claim 32 , wherein said input text is a search query including at least one search term, wherein said controller is configured to transform said input text by deterministically transforming said at least one search term using a first key to produce a respective at least one deterministically transformed search term, and wherein said controller is further to transmit the processed input text to the server by transmitting the at least one deterministically transformed search term to the server. | 0.619083 |
9,910,831 | 15 | 16 | 15. The display apparatus according to claim 12 , wherein the first attribute value of the font effect comprises at least one of a thickness of the font effect, a position of the font effect and a color of the font effect, and the controller is configured to determine the first attribute value of the font effect according to a thickness of the character. | 15. The display apparatus according to claim 12 , wherein the first attribute value of the font effect comprises at least one of a thickness of the font effect, a position of the font effect and a color of the font effect, and the controller is configured to determine the first attribute value of the font effect according to a thickness of the character. 16. The display apparatus according to claim 15 , wherein the controller is configured to, in response to the font effect further comprising a stroke effect of adding a rim to the character, determine a thickness value of the stroke effect such that a thickness of the rim increases as a thickness of the character increases, and the thickness of the rim decreases as the thickness of the character decreases. | 0.5 |
7,856,375 | 1 | 22 | 1. A method for automatically preparing customized communication documents for a plurality of consumer entities, the method comprising the steps of: using data from a first electronic data file containing financial product and/or financial service data for the customized communications, which financial product and/or financial service data includes a plurality of separate descriptions, characteristics and/or identifications for at least a first financial product and/or financial service; using data from a second electronic data file containing customer information for at least certain of the plurality of consumer entities, said customer information including customer related data in addition to, but not excluding, any one or more of customer name, customer address and customer account information obtained for said certain of the plurality of consumer entities; performing an automated composition process using a computing system configured to access said first data file and second data file to compose an electronic document file representing a customized communication document for at least one of said certain of the plurality of the consumer entities, said customized communication document comprising information relating to an offering for one or more financial products or services; wherein at least some content included in said customized communication document is customized content generated by said computing system for said electronic document file which includes variable data specifically for a consumer entity automatically derived and/or calculated from said first electronic data file and/or said second electronic data file during said automated composition process for said electronic document file and said consumer entity; delivering said customized communication documents based on said electronic document file to at least one of said certain of the plurality of consumer entities. | 1. A method for automatically preparing customized communication documents for a plurality of consumer entities, the method comprising the steps of: using data from a first electronic data file containing financial product and/or financial service data for the customized communications, which financial product and/or financial service data includes a plurality of separate descriptions, characteristics and/or identifications for at least a first financial product and/or financial service; using data from a second electronic data file containing customer information for at least certain of the plurality of consumer entities, said customer information including customer related data in addition to, but not excluding, any one or more of customer name, customer address and customer account information obtained for said certain of the plurality of consumer entities; performing an automated composition process using a computing system configured to access said first data file and second data file to compose an electronic document file representing a customized communication document for at least one of said certain of the plurality of the consumer entities, said customized communication document comprising information relating to an offering for one or more financial products or services; wherein at least some content included in said customized communication document is customized content generated by said computing system for said electronic document file which includes variable data specifically for a consumer entity automatically derived and/or calculated from said first electronic data file and/or said second electronic data file during said automated composition process for said electronic document file and said consumer entity; delivering said customized communication documents based on said electronic document file to at least one of said certain of the plurality of consumer entities. 22. The method of claim 1 wherein said customized communication document includes a separate reply section with instructions informing a consumer entity on how to reply to said offering. | 0.809426 |
8,700,996 | 1 | 6 | 1. A method of processing a document using a computer, comprising: storing a version of the document in a memory of the computer; displaying a portion of the document on a display of the computer, the portion having an associated font face, an associated line spacing, an associated margin, an associated font color and an associated justification; providing a display of available commands for processing the document, the available commands including one or more of changing the associated font face, changing the associated line spacing, changing the associated margin, changing the associated font color and changing the associated justification; monitoring user actions associated with the displayed portion of the document, the user actions including identifying but not executing one of the available commands for processing the document; in response to the action of identifying but not executing one of the available commands being performed by the user, updating the display of the portion of the document on the display of the computer in accordance with the identified command. | 1. A method of processing a document using a computer, comprising: storing a version of the document in a memory of the computer; displaying a portion of the document on a display of the computer, the portion having an associated font face, an associated line spacing, an associated margin, an associated font color and an associated justification; providing a display of available commands for processing the document, the available commands including one or more of changing the associated font face, changing the associated line spacing, changing the associated margin, changing the associated font color and changing the associated justification; monitoring user actions associated with the displayed portion of the document, the user actions including identifying but not executing one of the available commands for processing the document; in response to the action of identifying but not executing one of the available commands being performed by the user, updating the display of the portion of the document on the display of the computer in accordance with the identified command. 6. The method of claim 1 , wherein monitoring user actions includes receiving information regarding the user actions from an operating system of the computer. | 0.801008 |
8,171,282 | 15 | 16 | 15. The method as claimed in claim 12 , wherein said comparing comprises: generating a checksum of said first cipher text; generating a checksum of said second cipher text; and comparing said checksum of said first cipher text with said checksum of said second cipher text. | 15. The method as claimed in claim 12 , wherein said comparing comprises: generating a checksum of said first cipher text; generating a checksum of said second cipher text; and comparing said checksum of said first cipher text with said checksum of said second cipher text. 16. The method as claimed in claim 15 , wherein said transmitting comprises: transmitting one of said cipher texts if said checksum of said first cipher text and said checksum of said second cipher text match. | 0.5 |
9,367,525 | 2 | 3 | 2. The data processing apparatus according to claim 1 , wherein the operator classifier further classifies those operators describing the character strings whose positional information coincides with or corresponds to each other. | 2. The data processing apparatus according to claim 1 , wherein the operator classifier further classifies those operators describing the character strings whose positional information coincides with or corresponds to each other. 3. The data processing apparatus according to claim 2 , wherein the operator classifier further classifies those operators describing the character strings whose positions identified by the positional information belong to margins of pages represented by the page data. | 0.5 |
8,862,255 | 19 | 22 | 19. A system outputting audio content and displaying textual content, the system comprising: a data store; and a processor in communication with the data store, the processor operative to: generate audio content based at least in part on textual content; cause output of the generated audio content; cause presentation of the textual content; obtain an input pointer referencing a position within the textual content being presented; during advancement of the output pointer, determine, independent of the obtained input pointer, a position in the textual content corresponding to the current output position of the generated audio content; determine a segment of textual content based at least in part on a difference between the determined position within the textual content and the position within the textual content referenced by the input pointer; determine a length of the segment of textual content; and modify an attribute associated with the output of the generated audio content based at least in part on the determined length of the segment of textual content. | 19. A system outputting audio content and displaying textual content, the system comprising: a data store; and a processor in communication with the data store, the processor operative to: generate audio content based at least in part on textual content; cause output of the generated audio content; cause presentation of the textual content; obtain an input pointer referencing a position within the textual content being presented; during advancement of the output pointer, determine, independent of the obtained input pointer, a position in the textual content corresponding to the current output position of the generated audio content; determine a segment of textual content based at least in part on a difference between the determined position within the textual content and the position within the textual content referenced by the input pointer; determine a length of the segment of textual content; and modify an attribute associated with the output of the generated audio content based at least in part on the determined length of the segment of textual content. 22. The system of claim 19 , wherein obtaining the input pointer referencing the position within the textual content comprises obtaining the input pointer from an input device. | 0.801802 |
8,805,686 | 11 | 12 | 11. The method of claim 10 , wherein at least some of the items in the catalog are represented by multiple phrases with different word orderings. | 11. The method of claim 10 , wherein at least some of the items in the catalog are represented by multiple phrases with different word orderings. 12. The method of claim 11 , wherein the phrase graphs represent all phrases for which items from the catalog will be selected. | 0.590323 |
5,418,946 | 11 | 15 | 11. A data classification device comprising: third designating means for designating a data group to be retrieved among a plurality of structured data groups, each of the data groups including one or more data units, each of the data units including a plurality of components; fourth designating means for designating retrieval data; retrieving means for retrieving the data group designated by the third designating means on the basis of the retrieval data designated by the fourth designating means; fifth designating means for designating one or more types of components as classification data; and classifying means for classifying data units retrieved by the retrieving means based on the classification data designated by the fifth designating means. | 11. A data classification device comprising: third designating means for designating a data group to be retrieved among a plurality of structured data groups, each of the data groups including one or more data units, each of the data units including a plurality of components; fourth designating means for designating retrieval data; retrieving means for retrieving the data group designated by the third designating means on the basis of the retrieval data designated by the fourth designating means; fifth designating means for designating one or more types of components as classification data; and classifying means for classifying data units retrieved by the retrieving means based on the classification data designated by the fifth designating means. 15. A structured data classification device according to claim 11, wherein the classifying means creates classification structure data on the basis of the data group thus classified. | 0.89504 |
7,720,862 | 2 | 4 | 2. The method of claim 1 , further comprising: determining that the acquired knowledge of the first and second types does not satisfy the search request; upon such determination, identifying a third knowledge base based upon a previously identified relationship between the third knowledge base and either the first or the second knowledge base; and acquiring knowledge of a third type by sending a third request to the third knowledge base. | 2. The method of claim 1 , further comprising: determining that the acquired knowledge of the first and second types does not satisfy the search request; upon such determination, identifying a third knowledge base based upon a previously identified relationship between the third knowledge base and either the first or the second knowledge base; and acquiring knowledge of a third type by sending a third request to the third knowledge base. 4. The method of claim 2 , wherein if the previously identified relationship is between the third knowledge base and the second knowledge base, the method comprises acquiring knowledge of the second type by sending an additional request to the second knowledge base, the additional request being sent independently of the third request. | 0.5 |
6,125,361 | 20 | 22 | 20. The computer-implemented method of claim 17, further comprising the steps of: receiving a lexical distance, the lexical distance defining a number of document terms; determining a number of times at least one of the query terms is present in a first document within the lexical distance of a reference to the second document, for ranking the documents based thereon. | 20. The computer-implemented method of claim 17, further comprising the steps of: receiving a lexical distance, the lexical distance defining a number of document terms; determining a number of times at least one of the query terms is present in a first document within the lexical distance of a reference to the second document, for ranking the documents based thereon. 22. The computer-implemented method of claim 20, wherein the lexical distance is established based on the query terms. | 0.736607 |
7,694,311 | 1 | 3 | 1. An article of manufacture having computer readable storage medium comprising computer readable program code executable by a computer to implement a method of detecting tasks, said medium comprising: computer readable program code labeling each URL in a set of URLs with a token; computer readable program code defining a task grammar based on identifying a plurality of tasks, each task based on a feasible sequence of tokens representing a sequence of URLs accessed to accomplish that task; computer readable program code receiving a web access log; computer readable program code extracting and tokenizing a sequence of accessed URLs from said web access log, said sequence of URLs part of said set of URLs for which said task grammar is defined; computer readable program code applying said task grammar to said tokenized sequence of accessed URLs; and computer readable program code, based on said applying said task grammar, identifying and reporting one or more tasks, each identified task comprising at least one of the following: a task that comprises one or more sub-tasks, a task that is carried over several sessions, a partial task in one session, and a group of tasks in one session. | 1. An article of manufacture having computer readable storage medium comprising computer readable program code executable by a computer to implement a method of detecting tasks, said medium comprising: computer readable program code labeling each URL in a set of URLs with a token; computer readable program code defining a task grammar based on identifying a plurality of tasks, each task based on a feasible sequence of tokens representing a sequence of URLs accessed to accomplish that task; computer readable program code receiving a web access log; computer readable program code extracting and tokenizing a sequence of accessed URLs from said web access log, said sequence of URLs part of said set of URLs for which said task grammar is defined; computer readable program code applying said task grammar to said tokenized sequence of accessed URLs; and computer readable program code, based on said applying said task grammar, identifying and reporting one or more tasks, each identified task comprising at least one of the following: a task that comprises one or more sub-tasks, a task that is carried over several sessions, a partial task in one session, and a group of tasks in one session. 3. The article of manufacture of claim 1 , wherein each task comprises at least one of the following: a transaction, a session, a job, an event, a project, a chore, an operation and a form filling application. | 0.568182 |
9,785,678 | 15 | 16 | 15. The method of claim 14 , wherein the user interaction history indicates an action taken with respect to the electronic commerce system for a one of the plurality of taxonomy nodes being last selected after a previous submission of the search query. | 15. The method of claim 14 , wherein the user interaction history indicates an action taken with respect to the electronic commerce system for a one of the plurality of taxonomy nodes being last selected after a previous submission of the search query. 16. The method of claim 15 , wherein the action comprises at least one of an addition to a shopping cart, an item detail browsing, a list addition, a purchase, or a session conclusion. | 0.5 |
8,037,069 | 10 | 12 | 10. The method of claim 9 , wherein the data structure comprises a summary structure, the method further comprising pre-populating the summary structure with token-signature pairs of the database members and wherein relatively less definitive member tokens are eliminated to decrease an overall size of the summary structure. | 10. The method of claim 9 , wherein the data structure comprises a summary structure, the method further comprising pre-populating the summary structure with token-signature pairs of the database members and wherein relatively less definitive member tokens are eliminated to decrease an overall size of the summary structure. 12. The method of claim 10 , further comprising ascertaining a local memory allocation for the summary structure and eliminating sufficient numbers of the relatively less definitive member tokens such that the summary structure can be stored in the local memory allocation. | 0.5 |
7,493,658 | 1 | 5 | 1. A system implemented on a computer apparatus for scanning a computer file including source code of a computer program in a given computer language for malware, the system comprising: means for separating the source code into groups of constituent parts, each group comprising parts of a different type of structural part of the program; means for processing each group to count the number of occurrences in that group of characters of a character set to obtain a frequency distribution of characters in that group; means for comparing the character frequency distribution of each group with an expected range of frequency distributions; and means for flagging the file as suspect or not depending on the result of one or more comparisons by the comparing means. | 1. A system implemented on a computer apparatus for scanning a computer file including source code of a computer program in a given computer language for malware, the system comprising: means for separating the source code into groups of constituent parts, each group comprising parts of a different type of structural part of the program; means for processing each group to count the number of occurrences in that group of characters of a character set to obtain a frequency distribution of characters in that group; means for comparing the character frequency distribution of each group with an expected range of frequency distributions; and means for flagging the file as suspect or not depending on the result of one or more comparisons by the comparing means. 5. A system according to claim 1 , further comprising: means for maintaining an exception list of files which by their contents are to be treated as exceptions; means for identifying a file as being included in the exception list; and wherein a file is not marked as suspect if it is identified as being on the exception list. | 0.5 |
8,117,242 | 2 | 51 | 2. A computer program product embodied on a non-transitory computer-readable medium, comprising: code for registering a global unique user login information configured to allow access to a plurality of different online applications in association with an online application system, the different online applications including a first online application that provides access to a first one or more files stored at one or more servers associated with the first online application, a second online application that provides access to a second one or more files stored at one or more servers associated with the second online application, a third online application that provides access to a third one or more files stored at one or more servers associated with the third online application, and a fourth online application that provides access to a fourth one or more files stored at one or more servers associated with the fourth online application; code for receiving the global unique user login information in connection with a user logging in; code for identifying at least one first online application identifier associated with the first online application for registration purposes; code for identifying at least one second online application identifier associated with the second online application for registration purposes; code for identifying at least one third online application identifier associated with the third online application for registration purposes; code for identifying at least one fourth online application identifier associated with the fourth online application for registration purposes; code for receiving an indication to add access to the first online application for registration purposes; code for receiving an indication to add access to the second online application for registration purposes; code for receiving an indication to add access to the third online application for registration purposes; code for receiving an indication to add access to the fourth online application for registration purposes; code for, in connection with the at least one first online application identifier associated with the first online application, allowing registration of the first online application by: utilizing data required for the first online application, and receiving preference information associated with the first online application; code for, in connection with the at least one second online application identifier associated with the second online application, allowing registration of the second online application by: utilizing data required for the second online application, and receiving preference information associated with the second online application; code for, in connection with the at least one third online application identifier associated with the third online application, allowing registration of the third online application by: utilizing data required for the third online application, and receiving preference information associated with the third online application; code for, in connection with the at least one fourth online application identifier associated with the fourth online application, allowing registration of the fourth online application by: utilizing data required for the fourth online application, and receiving preference information associated with the fourth online application; code for displaying the at least one first online application identifier associated with the first online application for access purposes; code for displaying the at least one second online application identifier associated with the second online application for access purposes; code for displaying the at least one third online application identifier associated with the third online application for access purposes; code for displaying the at least one fourth online application identifier associated with the fourth online application for access purposes; code for receiving a selection of the at least one first online application identifier associated with the first online application for access purposes; code for receiving a selection of the at least one second online application identifier associated with the second online application for access purposes; code for receiving a selection of the at least one third online application identifier associated with the third online application for access purposes; code for receiving a selection of the at least one fourth online application identifier associated with the fourth online application for access purposes; code for, in response to the selection of the at least one first online application identifier associated with the first online application for access purposes, allowing access to the first online application, utilizing the data required for the first online application; code for, in response to the selection of the at least one second online application identifier associated with the second online application for access purposes, allowing access to the second online application, utilizing the data required for the second online application; code for, in response to the selection of the at least one third online application identifier associated with the third online application for access purposes, allowing access to the third online application, utilizing the data required for the third online application; code for, in response to the selection of the at least one fourth online application identifier associated with the fourth online application for access purposes, allowing access to the fourth online application, utilizing the data required for the fourth online application; code for identifying a document in association with the online application system; code for receiving a request from a logged-in user; code for, in response to the request, displaying an interface for receiving an indication of one or more tags, the interface including: at least one text box for receiving manually inserted tags, and a list of potential tags; code for, utilizing the interface, receiving the indication of the one or more tags; and code for correlating the one or more tags with the document. | 2. A computer program product embodied on a non-transitory computer-readable medium, comprising: code for registering a global unique user login information configured to allow access to a plurality of different online applications in association with an online application system, the different online applications including a first online application that provides access to a first one or more files stored at one or more servers associated with the first online application, a second online application that provides access to a second one or more files stored at one or more servers associated with the second online application, a third online application that provides access to a third one or more files stored at one or more servers associated with the third online application, and a fourth online application that provides access to a fourth one or more files stored at one or more servers associated with the fourth online application; code for receiving the global unique user login information in connection with a user logging in; code for identifying at least one first online application identifier associated with the first online application for registration purposes; code for identifying at least one second online application identifier associated with the second online application for registration purposes; code for identifying at least one third online application identifier associated with the third online application for registration purposes; code for identifying at least one fourth online application identifier associated with the fourth online application for registration purposes; code for receiving an indication to add access to the first online application for registration purposes; code for receiving an indication to add access to the second online application for registration purposes; code for receiving an indication to add access to the third online application for registration purposes; code for receiving an indication to add access to the fourth online application for registration purposes; code for, in connection with the at least one first online application identifier associated with the first online application, allowing registration of the first online application by: utilizing data required for the first online application, and receiving preference information associated with the first online application; code for, in connection with the at least one second online application identifier associated with the second online application, allowing registration of the second online application by: utilizing data required for the second online application, and receiving preference information associated with the second online application; code for, in connection with the at least one third online application identifier associated with the third online application, allowing registration of the third online application by: utilizing data required for the third online application, and receiving preference information associated with the third online application; code for, in connection with the at least one fourth online application identifier associated with the fourth online application, allowing registration of the fourth online application by: utilizing data required for the fourth online application, and receiving preference information associated with the fourth online application; code for displaying the at least one first online application identifier associated with the first online application for access purposes; code for displaying the at least one second online application identifier associated with the second online application for access purposes; code for displaying the at least one third online application identifier associated with the third online application for access purposes; code for displaying the at least one fourth online application identifier associated with the fourth online application for access purposes; code for receiving a selection of the at least one first online application identifier associated with the first online application for access purposes; code for receiving a selection of the at least one second online application identifier associated with the second online application for access purposes; code for receiving a selection of the at least one third online application identifier associated with the third online application for access purposes; code for receiving a selection of the at least one fourth online application identifier associated with the fourth online application for access purposes; code for, in response to the selection of the at least one first online application identifier associated with the first online application for access purposes, allowing access to the first online application, utilizing the data required for the first online application; code for, in response to the selection of the at least one second online application identifier associated with the second online application for access purposes, allowing access to the second online application, utilizing the data required for the second online application; code for, in response to the selection of the at least one third online application identifier associated with the third online application for access purposes, allowing access to the third online application, utilizing the data required for the third online application; code for, in response to the selection of the at least one fourth online application identifier associated with the fourth online application for access purposes, allowing access to the fourth online application, utilizing the data required for the fourth online application; code for identifying a document in association with the online application system; code for receiving a request from a logged-in user; code for, in response to the request, displaying an interface for receiving an indication of one or more tags, the interface including: at least one text box for receiving manually inserted tags, and a list of potential tags; code for, utilizing the interface, receiving the indication of the one or more tags; and code for correlating the one or more tags with the document. 51. The computer program product of claim 2 , wherein the data required for the first online application includes first online application login information. | 0.972301 |
7,941,465 | 1 | 8 | 1. A method of selecting a package model, comprising: storing, at a package model database, a data structure of a plurality of package models and one or more attribute relationships, wherein each package model has a plurality of package model attributes comprising at least a size and a style, wherein each attribute relationship includes an indication that one or more supplemental attributes are required if a constraint is satisfied; receiving, at a semantic reasoner, a user input that is descriptive of a desired package capability, wherein the desired package capability comprises requirements for the package model; analyzing, by the semantic reasoner, the user input to determine one or more desired attributes; accessing, by the semantic reasoner, the data structure to automatically determine whether a desired attribute satisfies a constraint for an attribute relationship; and presenting, by the semantic reasoner, the one or more supplemental attributes required by the attribute relationship. | 1. A method of selecting a package model, comprising: storing, at a package model database, a data structure of a plurality of package models and one or more attribute relationships, wherein each package model has a plurality of package model attributes comprising at least a size and a style, wherein each attribute relationship includes an indication that one or more supplemental attributes are required if a constraint is satisfied; receiving, at a semantic reasoner, a user input that is descriptive of a desired package capability, wherein the desired package capability comprises requirements for the package model; analyzing, by the semantic reasoner, the user input to determine one or more desired attributes; accessing, by the semantic reasoner, the data structure to automatically determine whether a desired attribute satisfies a constraint for an attribute relationship; and presenting, by the semantic reasoner, the one or more supplemental attributes required by the attribute relationship. 8. The method of claim 1 wherein accessing the data structure comprises accessing the data structure to automatically determine whether a desired attribute matches a plurality of attributes for the attribute relationship. | 0.733092 |
7,788,250 | 10 | 12 | 10. The system of claim 9 , the processor further to display the extended customized second interface to the user. | 10. The system of claim 9 , the processor further to display the extended customized second interface to the user. 12. The system of claim 10 , the processor further to combine the supplier links and the parameter names in order to obtain universal resource locators for sending the user requests to the suppliers. | 0.5 |
9,225,739 | 6 | 7 | 6. The computer system of claim 1 , wherein the identified persons' interactions with the user include at least one of the following: receiving an email message from the user, receiving a text message from the user, receiving a social media notification from the user, receiving a message that includes a uniform resource locators (URL), and receiving a message that includes an attachment. | 6. The computer system of claim 1 , wherein the identified persons' interactions with the user include at least one of the following: receiving an email message from the user, receiving a text message from the user, receiving a social media notification from the user, receiving a message that includes a uniform resource locators (URL), and receiving a message that includes an attachment. 7. The computer system of claim 6 , wherein the identified person's likelihood of encountering the identified type of malware is increased in proportion to the number of interactions with the user. | 0.5 |
8,943,143 | 1 | 4 | 1. A method of converting a document for a user, the method comprising: defining a format selection criteria group that includes a recipient e-mail address, an appendage to the document, a sender e-mail address, and document content; receiving the document via a telecommunications network from a first user device at a location physically remote from the first user device, the document having a first format; and automatically producing a new version of the document upon receipt of the document, the new version of the document having a second format different from the first format; wherein the second format is selected based on a format selection criteria chosen from the format selection criteria group following an iterative document conversion process that selects the second format: i. based on the recipient e-mail address if one is available, or else ii. based on the appendage if one is available, or else iii. based on the sender e-mail address if one is available, or else iv. based on the document content. | 1. A method of converting a document for a user, the method comprising: defining a format selection criteria group that includes a recipient e-mail address, an appendage to the document, a sender e-mail address, and document content; receiving the document via a telecommunications network from a first user device at a location physically remote from the first user device, the document having a first format; and automatically producing a new version of the document upon receipt of the document, the new version of the document having a second format different from the first format; wherein the second format is selected based on a format selection criteria chosen from the format selection criteria group following an iterative document conversion process that selects the second format: i. based on the recipient e-mail address if one is available, or else ii. based on the appendage if one is available, or else iii. based on the sender e-mail address if one is available, or else iv. based on the document content. 4. A method of converting a document according to claim 1 further comprising storing the new version of the document on a storage device remotely accessible by at least one of the group including the first user device and the second user device. | 0.5 |
7,707,167 | 1 | 4 | 1. A method for creating a knowledge interchange profile, the method comprising: using a computer to monitor user interaction with at least one program to identify items of interest; based on the items of interest, creating the knowledge interchange profile that identifies interests of a user, individuals with which the user has communicated, and topics on which the communication with the individuals was made, wherein creating the knowledge interchange profile further comprises, for each of the items of interest, performing a social network analysis comprising: identifying contacts related to an item of interest; creating a social weight for each contact related to the item of interest, the social weight based at least on at least one member of a group comprising: a relationship of each individual to the item of interest, and a location of names corresponding to the each individual in the item of interest; and normalizing the social weights for each contact, wherein normalizing the social weights comprises decreasing the social weights as a total number of contacts increases. | 1. A method for creating a knowledge interchange profile, the method comprising: using a computer to monitor user interaction with at least one program to identify items of interest; based on the items of interest, creating the knowledge interchange profile that identifies interests of a user, individuals with which the user has communicated, and topics on which the communication with the individuals was made, wherein creating the knowledge interchange profile further comprises, for each of the items of interest, performing a social network analysis comprising: identifying contacts related to an item of interest; creating a social weight for each contact related to the item of interest, the social weight based at least on at least one member of a group comprising: a relationship of each individual to the item of interest, and a location of names corresponding to the each individual in the item of interest; and normalizing the social weights for each contact, wherein normalizing the social weights comprises decreasing the social weights as a total number of contacts increases. 4. The method of claim 1 , wherein the at least one program comprises a presentation application program and wherein the items of interest comprise documents being at least one of the following: opened by the user utilizing the presentation application program and created by the user utilizing the presentation application program. | 0.601918 |
7,598,942 | 35 | 36 | 35. The method of claim 3 , wherein the detecting comprises: generating three-dimensional space point data representing the physical gesture; and labeling the space point data. | 35. The method of claim 3 , wherein the detecting comprises: generating three-dimensional space point data representing the physical gesture; and labeling the space point data. 36. The method of claim 35 , wherein the translating includes translating the space point data into commands appropriate to a configuration of the computer. | 0.5 |
8,788,357 | 6 | 7 | 6. The method of claim 1 , wherein the transforming comprises: parsing the human-capital information to yield a plurality of linguistic units; and mapping the plurality of linguistic units to a plurality of subject dictionaries, the plurality of subject dictionaries defining a HCM vector space. | 6. The method of claim 1 , wherein the transforming comprises: parsing the human-capital information to yield a plurality of linguistic units; and mapping the plurality of linguistic units to a plurality of subject dictionaries, the plurality of subject dictionaries defining a HCM vector space. 7. The method of claim 6 , wherein the mapping comprises projecting the plurality of linguistic units onto the HCM vector space, the projecting yielding a multidimensional vector. | 0.585648 |
7,904,429 | 10 | 13 | 10. The method of claim 1 , wherein the ΞI function for each record is obtained by calculating the inverse of a reversible operation of the IHF value at the last chunk of the record, and the initial value of the IHF for that record. | 10. The method of claim 1 , wherein the ΞI function for each record is obtained by calculating the inverse of a reversible operation of the IHF value at the last chunk of the record, and the initial value of the IHF for that record. 13. The method of claim 10 wherein the reversible operation is division. | 0.538462 |
9,852,117 | 1 | 15 | 1. A computer-implemented method of content editing and publishing based on text-fragments, comprising executing, on at least one processor, the steps of: receiving a plurality of text-fragment creation triggers; creating, in response to receipt of each one of the plurality of text-fragment creation triggers, a respective one of a plurality of text-fragments at least in part by i) receiving text for the text-fragment, ii) storing the received text into the text-fragment, iii) creating meta-data for the text-fragment, and iv) storing the meta-data for the text-fragment into the text-fragment; adding each one of the plurality of text-fragments to a single text file, wherein the single text file contains the plurality of text-fragments; displaying, within a first portion of a user interface, at least one of the plurality of text-fragments contained in the text file; selecting a theme defining an appearance of a publishable output; generating, based on the plurality of text-fragments and the selected theme, the publishable output, the generated publishable output having the appearance defined by the selected theme; displaying a preview of the publishable output within a second portion of the user interface; publishing the publishable output to at least one remote system; receiving, through the user interface, at least one versioning label to be associated with at least one text-fragment; wherein creating the metadata for the text-fragment includes storing the versioning label in the metadata for the text-fragment; wherein generating the publishable output includes creating different versions of the publishable output in response to the versioning label; wherein the at least one versioning label includes a draft label; wherein generating the publishable output includes i) identifying text-fragments in the text file that have a draft label stored in their metadata, and ii) generating the publishable output based only on those text-fragments in the text file that do not have a draft label stored in their metadata; generating a draft output based on both those text-fragments in the text file that have a draft label stored in their metadata and those text-fragments in the text file that do not have a draft label stored in their metadata; distributing the draft output to a set of target devices associated with reviewing users; receiving a publish command; modifying the text-fragments in the text file, responsive to receipt of the publish command, by removing the draft label from the metadata of at least one of the text-fragments in the text file; and generating a new version of the publishable output, responsive to receipt of the publish command and after modifying the text-fragments in the text file. | 1. A computer-implemented method of content editing and publishing based on text-fragments, comprising executing, on at least one processor, the steps of: receiving a plurality of text-fragment creation triggers; creating, in response to receipt of each one of the plurality of text-fragment creation triggers, a respective one of a plurality of text-fragments at least in part by i) receiving text for the text-fragment, ii) storing the received text into the text-fragment, iii) creating meta-data for the text-fragment, and iv) storing the meta-data for the text-fragment into the text-fragment; adding each one of the plurality of text-fragments to a single text file, wherein the single text file contains the plurality of text-fragments; displaying, within a first portion of a user interface, at least one of the plurality of text-fragments contained in the text file; selecting a theme defining an appearance of a publishable output; generating, based on the plurality of text-fragments and the selected theme, the publishable output, the generated publishable output having the appearance defined by the selected theme; displaying a preview of the publishable output within a second portion of the user interface; publishing the publishable output to at least one remote system; receiving, through the user interface, at least one versioning label to be associated with at least one text-fragment; wherein creating the metadata for the text-fragment includes storing the versioning label in the metadata for the text-fragment; wherein generating the publishable output includes creating different versions of the publishable output in response to the versioning label; wherein the at least one versioning label includes a draft label; wherein generating the publishable output includes i) identifying text-fragments in the text file that have a draft label stored in their metadata, and ii) generating the publishable output based only on those text-fragments in the text file that do not have a draft label stored in their metadata; generating a draft output based on both those text-fragments in the text file that have a draft label stored in their metadata and those text-fragments in the text file that do not have a draft label stored in their metadata; distributing the draft output to a set of target devices associated with reviewing users; receiving a publish command; modifying the text-fragments in the text file, responsive to receipt of the publish command, by removing the draft label from the metadata of at least one of the text-fragments in the text file; and generating a new version of the publishable output, responsive to receipt of the publish command and after modifying the text-fragments in the text file. 15. The method of claim 1 , further comprising: wherein the selected theme defines the appearance of at least one Web page; and wherein generating the publishable output includes generating at least one Web page having the appearance defined by the selected theme. | 0.697248 |
9,129,013 | 13 | 20 | 13. At least one computer-readable storage medium encoded with computer-executable instructions that, when executed, perform a method comprising: matching a token from at least a portion of a text string with a matching concept in an ontology; identifying a first concept as being hierarchically related to the matching concept within the ontology; identifying a second concept as being hierarchically related to the first concept within the ontology; including the first and second concepts in a set of features of the token; and determining a measure related to a likelihood that the at least a portion of the text string corresponds to a particular entity type, based at least in part on the set of features of the token. | 13. At least one computer-readable storage medium encoded with computer-executable instructions that, when executed, perform a method comprising: matching a token from at least a portion of a text string with a matching concept in an ontology; identifying a first concept as being hierarchically related to the matching concept within the ontology; identifying a second concept as being hierarchically related to the first concept within the ontology; including the first and second concepts in a set of features of the token; and determining a measure related to a likelihood that the at least a portion of the text string corresponds to a particular entity type, based at least in part on the set of features of the token. 20. The at least one computer-readable storage medium of claim 13 , wherein the determining comprises weighting the first and second concepts as features of the token relative to other features of the token. | 0.618081 |
9,075,848 | 17 | 20 | 17. An article of manufacture including a non-transitory computer readable medium having instructions stored thereon that are executable by a computer system to cause the computer system to perform operations comprising: receiving particular information indicating that a user has a set of particular relationships with a particular entity; comparing identifying information associated with the user with the particular information; based on a result of the comparing, generating a link confidence code indicative of an estimated accuracy that the user actually has the set of particular relationships with the particular entity, wherein the link confidence code includes at least one of numeric or textual data; and providing the link confidence code to a database including account information corresponding to the user. | 17. An article of manufacture including a non-transitory computer readable medium having instructions stored thereon that are executable by a computer system to cause the computer system to perform operations comprising: receiving particular information indicating that a user has a set of particular relationships with a particular entity; comparing identifying information associated with the user with the particular information; based on a result of the comparing, generating a link confidence code indicative of an estimated accuracy that the user actually has the set of particular relationships with the particular entity, wherein the link confidence code includes at least one of numeric or textual data; and providing the link confidence code to a database including account information corresponding to the user. 20. The article of manufacture of claim 17 , wherein the operations further comprise: based on user information indicating that an identity of the user has been authenticated, adjusting the link confidence code. | 0.730179 |
7,783,528 | 1 | 2 | 1. A method implemented by a computer, the computer comprising in a computer readable storage medium including one or more computer readable instructions stored thereon that, when executed by a computer, cause the computer to perform the method to automatically generate a naturally reading narrative product summary including assertions about a specific product selected by a user, said method comprising: receiving the selection of the specific product from the user, the specific product associated with a plurality of attributes; determining at least one attribute of the plurality of attributes for comparison for the specific product selected by the user; selecting a comparable product based on the at least one attribute, the comparable product being the product having a high value rating for the at least one attribute; and generating the naturally reading narrative product summary including assertions about the specific product selected by the user and a recommendation of the comparable product. | 1. A method implemented by a computer, the computer comprising in a computer readable storage medium including one or more computer readable instructions stored thereon that, when executed by a computer, cause the computer to perform the method to automatically generate a naturally reading narrative product summary including assertions about a specific product selected by a user, said method comprising: receiving the selection of the specific product from the user, the specific product associated with a plurality of attributes; determining at least one attribute of the plurality of attributes for comparison for the specific product selected by the user; selecting a comparable product based on the at least one attribute, the comparable product being the product having a high value rating for the at least one attribute; and generating the naturally reading narrative product summary including assertions about the specific product selected by the user and a recommendation of the comparable product. 2. The method of claim 1 , further including the step of determining an attribute rank of said user selected product and said selected comparable product, wherein said selected comparable product has an attribute rank that is the same as said user selected product for said at least one attribute. | 0.5 |
5,587,918 | 13 | 14 | 13. A circuit pattern comparison apparatus according to claim 10, further comprising a predetermined comparison method describing unit for defining a desired comparison method, and a supplementary information input unit for inputting supplementary information necessary for extraction by said predetermined comparison method describing unit. | 13. A circuit pattern comparison apparatus according to claim 10, further comprising a predetermined comparison method describing unit for defining a desired comparison method, and a supplementary information input unit for inputting supplementary information necessary for extraction by said predetermined comparison method describing unit. 14. A circuit pattern comparison apparatus according to claim 13, wherein said comparing means includes means for comparing said designated predetermined search pattern in accordance with a comparison method defined by said comparison method describing unit and said search pattern editing means includes means for activating said supplementary information input unit and for designating a predetermined unit for performing comparison in accordance with said predetermined comparison method describing unit. | 0.5 |
7,523,079 | 15 | 16 | 15. A method comprising: linking a first node that is a semantic Janus unit of a computer-implemented network structure to a second node of the computer-implemented network structure using a first link, wherein the first node, the second node and the first link are parts of a semantic network machine, wherein the first node possesses a state that varies with time, and wherein the second node contains informational contents; generating changed informational contents by carrying out computational operations on the informational contents based on the state of the first node; storing the changed informational contents in the second node; adding a third node to the semantic network machine; changing the first link to link the first node to the third node, wherein the changed informational contents and the changing the first link to link the first node to the third node are used to recognize a pattern; and generating an image that includes the recognized pattern. | 15. A method comprising: linking a first node that is a semantic Janus unit of a computer-implemented network structure to a second node of the computer-implemented network structure using a first link, wherein the first node, the second node and the first link are parts of a semantic network machine, wherein the first node possesses a state that varies with time, and wherein the second node contains informational contents; generating changed informational contents by carrying out computational operations on the informational contents based on the state of the first node; storing the changed informational contents in the second node; adding a third node to the semantic network machine; changing the first link to link the first node to the third node, wherein the changed informational contents and the changing the first link to link the first node to the third node are used to recognize a pattern; and generating an image that includes the recognized pattern. 16. The method of claim 15 , further comprising: deleting the second node. | 0.83913 |
5,454,046 | 10 | 12 | 10. The system of claim 1 in which said processor is responsive to effect said comparison by deriving a feature match value corresponding with the deviation of said pattern test features from said pattern sample features and is responsive to derive said output signals when said feature match value is as great as a predetermined recognition cutoff value. | 10. The system of claim 1 in which said processor is responsive to effect said comparison by deriving a feature match value corresponding with the deviation of said pattern test features from said pattern sample features and is responsive to derive said output signals when said feature match value is as great as a predetermined recognition cutoff value. 12. A system of claim 10 in which said processor is responsive when said feature match value is less than said predetermined recognition cutoff value to enter a search tree based parser mode to extract first pattern stroke and stroke segment features and a corresponding test index therefrom wherein each stroke segment is delimited by either a stroke beginning point ending point or by a stroke inflection point that is close to a baseline, is responsive to carry out a comparison of said first pattern test features with said pattern sample features associated with said identified sample index, responsive in the presence of a correspondence between said first pattern test features and said sample features to derive a first text character sequence result, responsive to selectively combine said stroke and stroke segment features to provide second pattern test features, responsive to carry out a comparison of said second pattern test features with said pattern sample features associated with said identified sample index, and responsive in the presence of a correspondence between said second pattern test features and said sample features to derive output signals corresponding with said text; and display means responsive to said derived output signals for effecting the publication of a said predetermined character sequence of said text associated with said pattern sample features. | 0.5 |
7,963,835 | 1 | 2 | 1. A method implemented in a computing environment for presenting educational materials in a video game environment, the method comprising: a computing system providing a game interface for displaying game characters, each character comprising corresponding attributes that include at least an attack attribute and a defense attribute, the computing system comprising memory operatively coupled to one or more processors; assigning a first character to a first human participant; assigning a second character to a second human participant; the computing system presenting a game environment within the game interface that involves the first character in a storyline and that includes game actions that the first character participates in, wherein the first human participant is presented with educational materials corresponding to a first subject matter, and wherein the game actions include at least one of modifying the attributes that correspond to the first character, obtaining possessions for the first character and using the first character to interact with at least the second game character; the computing system presenting questions to the first human participant when the first character participates in a particular game action within the game environment, wherein the presented questions correspond to educational materials of the first subject matter, and wherein at least one question is presented to the first human participant, corresponding to a virtual attack of the first character by the second character within the game environment; the computing system displaying a first health display element within the game environment that reflects a health status of the first character and that reflects at least a decrease in the health status of the first character as a consequence to damage inflicted by the virtual attack if the first human participant provides an incorrect answer to the at least one question; the computing system displaying a questions menu option within the game environment to the first human participant with which the first human participant is enabled to select or create one or more questions for use in connection with an offensive virtual attack applied by the first character within the game environment; the computing system displaying a second health display element that reflects a health status of the second character and that reflects at least a decrease in the health status of the second character in connection with damage inflicted by the offensive virtual attack by the first character within the game environment; and the computing system providing at least one portal within the game interface which, when entered by the first character, transports the first character to a new world where educational materials presented to the first character correspond to a second subject matter that is different than the first subject matter. | 1. A method implemented in a computing environment for presenting educational materials in a video game environment, the method comprising: a computing system providing a game interface for displaying game characters, each character comprising corresponding attributes that include at least an attack attribute and a defense attribute, the computing system comprising memory operatively coupled to one or more processors; assigning a first character to a first human participant; assigning a second character to a second human participant; the computing system presenting a game environment within the game interface that involves the first character in a storyline and that includes game actions that the first character participates in, wherein the first human participant is presented with educational materials corresponding to a first subject matter, and wherein the game actions include at least one of modifying the attributes that correspond to the first character, obtaining possessions for the first character and using the first character to interact with at least the second game character; the computing system presenting questions to the first human participant when the first character participates in a particular game action within the game environment, wherein the presented questions correspond to educational materials of the first subject matter, and wherein at least one question is presented to the first human participant, corresponding to a virtual attack of the first character by the second character within the game environment; the computing system displaying a first health display element within the game environment that reflects a health status of the first character and that reflects at least a decrease in the health status of the first character as a consequence to damage inflicted by the virtual attack if the first human participant provides an incorrect answer to the at least one question; the computing system displaying a questions menu option within the game environment to the first human participant with which the first human participant is enabled to select or create one or more questions for use in connection with an offensive virtual attack applied by the first character within the game environment; the computing system displaying a second health display element that reflects a health status of the second character and that reflects at least a decrease in the health status of the second character in connection with damage inflicted by the offensive virtual attack by the first character within the game environment; and the computing system providing at least one portal within the game interface which, when entered by the first character, transports the first character to a new world where educational materials presented to the first character correspond to a second subject matter that is different than the first subject matter. 2. A method as recited in claim 1 , further comprising an act of providing battle sequences within the game environment that include twitch sequences. | 0.884969 |
9,282,121 | 4 | 5 | 4. The method as recited in claim 1 , wherein the translating comprises: matching a logic language pattern of the fragment of the plurality of fragments of the first proof graph to a corresponding security language pattern selected from multiple possible security language patterns. | 4. The method as recited in claim 1 , wherein the translating comprises: matching a logic language pattern of the fragment of the plurality of fragments of the first proof graph to a corresponding security language pattern selected from multiple possible security language patterns. 5. The method as recited in claim 4 , wherein each respective security language pattern of the multiple possible security language patterns is associated with a respective semantics rule of the security language. | 0.773019 |
4,516,260 | 18 | 21 | 18. A talking electronic apparatus comprising: memory means for storing digital speech data and digital control data from which a plurality of requests in synthesized human speech for respective operator responses and appropriate operator responses corresponding to said plurality of requests may be respectively derived, speech synthesizer means operably associated with said memory means for converting said digital speech data into audible human speech, means for selectively transferring said digital speech data to said speech synthesizer means to produce a selected audible request in human speech, operator input means for receiving an operator response to said selected audible request, and means responsive to said digital control data and said operator response to said selected audible request for responding in a manner producing an output indicative of the appropriateness of said operator response with respect to the appropriate operator response corresponding to said selected audible request. | 18. A talking electronic apparatus comprising: memory means for storing digital speech data and digital control data from which a plurality of requests in synthesized human speech for respective operator responses and appropriate operator responses corresponding to said plurality of requests may be respectively derived, speech synthesizer means operably associated with said memory means for converting said digital speech data into audible human speech, means for selectively transferring said digital speech data to said speech synthesizer means to produce a selected audible request in human speech, operator input means for receiving an operator response to said selected audible request, and means responsive to said digital control data and said operator response to said selected audible request for responding in a manner producing an output indicative of the appropriateness of said operator response with respect to the appropriate operator response corresponding to said selected audible request. 21. A talking electronic apparatus according to claim 18, wherein said memory means comprises non-volatile digital semiconductor memory means. | 0.733083 |
9,003,361 | 8 | 11 | 8. A non-transitory computer-readable storage medium including instructions that, when executed by a processing device, cause the processing device to perform operations comprising: receiving user input indicating a plurality of uniform resource identifiers (URIs) for a RESTful (Representational State Transfer) web service; identifying a programming language for a RESTful web service software development kit (SDK) client; creating, by the processing device, a plurality of methods for the plurality of URIs using programming code format of the identified programming language; creating the RESTful web service SDK client using the plurality of methods; detecting a change in the RESTful web service; identifying one of the plurality of URIs associated with the change; and updating one of the plurality of methods corresponding to the identified URI to reflect the change. | 8. A non-transitory computer-readable storage medium including instructions that, when executed by a processing device, cause the processing device to perform operations comprising: receiving user input indicating a plurality of uniform resource identifiers (URIs) for a RESTful (Representational State Transfer) web service; identifying a programming language for a RESTful web service software development kit (SDK) client; creating, by the processing device, a plurality of methods for the plurality of URIs using programming code format of the identified programming language; creating the RESTful web service SDK client using the plurality of methods; detecting a change in the RESTful web service; identifying one of the plurality of URIs associated with the change; and updating one of the plurality of methods corresponding to the identified URI to reflect the change. 11. The non-transitory computer-readable storage medium of claim 8 , the operations further comprising: storing the updated method. | 0.877111 |
9,430,141 | 6 | 9 | 6. A method comprising: under control of one or more computer systems configured with executable instructions, receiving a first stroke associated with a touch input; determining, based on the first stroke, a predetermined type of annotation associated with the touch input; determining the predetermined type of annotation is a free form annotation; associating the free form annotation with a word of content presented on a display of a device; receiving a additional strokes associated with the touch input; associating the free form annotation with the word based at least in part on a location of the word within the content; and rendering the content to be presented on the display, the rendering including rendering the content presented on the display around the annotation to cause the annotation to appear adjacent to the word and at least partially surrounded by the content. | 6. A method comprising: under control of one or more computer systems configured with executable instructions, receiving a first stroke associated with a touch input; determining, based on the first stroke, a predetermined type of annotation associated with the touch input; determining the predetermined type of annotation is a free form annotation; associating the free form annotation with a word of content presented on a display of a device; receiving a additional strokes associated with the touch input; associating the free form annotation with the word based at least in part on a location of the word within the content; and rendering the content to be presented on the display, the rendering including rendering the content presented on the display around the annotation to cause the annotation to appear adjacent to the word and at least partially surrounded by the content. 9. The method of claim 6 , further comprising: arranging the content to be displayed based at least in part on a plurality of layers included in the content; storing words of the content within a text layer included in the layers; and storing the annotation within an annotation layer included in the layers, the annotation layer being different from the text layer. | 0.676106 |
9,740,698 | 1 | 5 | 1. A computer-implemented method of merging documents comprising: receiving an update document and a target document, wherein the update document and target document are document instances of a common document schema; determining whether an item of information in the update document is associated with an eligible path of the document schema in a predefined update table; generating, responsive to affirming that the item of information is associated with the eligible path, a specification of an operation by which the item of information is merged into the target document in compliance with the document schema; and applying the specified operation to the target document to produce an updated document in compliance with the document schema. | 1. A computer-implemented method of merging documents comprising: receiving an update document and a target document, wherein the update document and target document are document instances of a common document schema; determining whether an item of information in the update document is associated with an eligible path of the document schema in a predefined update table; generating, responsive to affirming that the item of information is associated with the eligible path, a specification of an operation by which the item of information is merged into the target document in compliance with the document schema; and applying the specified operation to the target document to produce an updated document in compliance with the document schema. 5. The computer-implemented method of claim 1 , wherein the target document includes an XML document, the update document includes an XML document, and the document schema includes an XML schema. | 0.847179 |
9,886,094 | 1 | 11 | 1. A gesture recognition method comprising: receiving, at a processor, an input stream of image frames depicting an articulating entity; computing instance level features from individual ones of the image frames and sending the computed features to a trained machine learning system; and receiving in response at least one gesture class from a plurality of possible gesture classes; wherein the trained machine learning system comprises at least one multiple decision boundary classifier comprising a plurality of decision boundaries arranged to divide an instance level feature space into a plurality of regions, at least one region being associated with a gesture primitive; and wherein the instance level features are calculated from one or more instances where the instances are temporally non-sequential subsets of frames depicting a complete gesture of the gesture class made by the articulated entity. | 1. A gesture recognition method comprising: receiving, at a processor, an input stream of image frames depicting an articulating entity; computing instance level features from individual ones of the image frames and sending the computed features to a trained machine learning system; and receiving in response at least one gesture class from a plurality of possible gesture classes; wherein the trained machine learning system comprises at least one multiple decision boundary classifier comprising a plurality of decision boundaries arranged to divide an instance level feature space into a plurality of regions, at least one region being associated with a gesture primitive; and wherein the instance level features are calculated from one or more instances where the instances are temporally non-sequential subsets of frames depicting a complete gesture of the gesture class made by the articulated entity. 11. The method of claim 1 where the trained machine learning component comprises a plurality of binary classifiers one for each of a plurality of gesture classes. | 0.729097 |
8,341,155 | 1 | 10 | 1. A method for providing intelligent recommendations of reusable software assets comprising: a computer receiving at least one user-entered search criteria representing at least one requirement for a software solution, a user-selected filter for search results, and a reusable software asset identifier; the computer identifying a set of at least one semantic topic map associated with the at least one user-entered search criteria, wherein the set of at least on topic map is a subset of a plurality of semantic topic maps, wherein each semantic topic map of the plurality defines at least one semantic relationship between topics, wherein a topic represents one of a requirement and a reusable software asset, and, wherein each semantic topic map of the plurality is written in accordance with a semantic framework using a Web ontology language and is stored in a semantic Web repository; the computer inferring from the set of at least one identified semantic topic map a set of at least one inferred data item representing at least one of an auxiliary data relationship to a topic contained in a semantic topic map that is not a member of the set of at least one identified semantic topic map and an applicable auxiliary data element from a semantic topic map that is not a member of the set of at least one identified semantic topic map; the computer aggregating contents of the set of at least one identified semantic topic map and the set of at least one inferred data item into a results table; and the computer synthesizing a semantic results graph from the results table, wherein said semantic results graph is a pictorial representation of semantically related topics contained in the results table, wherein the semantic results graph is able to be rendered within a display area of an associated user interface. | 1. A method for providing intelligent recommendations of reusable software assets comprising: a computer receiving at least one user-entered search criteria representing at least one requirement for a software solution, a user-selected filter for search results, and a reusable software asset identifier; the computer identifying a set of at least one semantic topic map associated with the at least one user-entered search criteria, wherein the set of at least on topic map is a subset of a plurality of semantic topic maps, wherein each semantic topic map of the plurality defines at least one semantic relationship between topics, wherein a topic represents one of a requirement and a reusable software asset, and, wherein each semantic topic map of the plurality is written in accordance with a semantic framework using a Web ontology language and is stored in a semantic Web repository; the computer inferring from the set of at least one identified semantic topic map a set of at least one inferred data item representing at least one of an auxiliary data relationship to a topic contained in a semantic topic map that is not a member of the set of at least one identified semantic topic map and an applicable auxiliary data element from a semantic topic map that is not a member of the set of at least one identified semantic topic map; the computer aggregating contents of the set of at least one identified semantic topic map and the set of at least one inferred data item into a results table; and the computer synthesizing a semantic results graph from the results table, wherein said semantic results graph is a pictorial representation of semantically related topics contained in the results table, wherein the semantic results graph is able to be rendered within a display area of an associated user interface. 10. A computer program product comprising one or more computer-readable, tangible storage devices and computer-readable program instructions which are stored on the one or more storage devices and when executed by one or more processors, perform the method of claim 1 . | 0.836175 |
10,042,842 | 2 | 3 | 2. The system according to claim 1 , wherein the processor generates a candidate lexical graph dictionary that includes the candidate lexical graphs. | 2. The system according to claim 1 , wherein the processor generates a candidate lexical graph dictionary that includes the candidate lexical graphs. 3. The system according to claim 2 , wherein the processor obtains historical data that includes a known event. | 0.5 |
9,910,914 | 1 | 7 | 1. A computer-implemented, informational retrieval system for real-time, interactive semantic curation from a networked database, the system comprising: (a) a gloss vector engine configured with means to generate semantic gloss vectors for data mining by unsupervised machine learning; (b) a deconstruction engine configured with means to identify well-formed sentences; (c) a data discovery engine configured with means to identify indirect communicating links; (d) a collocation engine configured with means to identify compound nouns; (e) a disambiguation engine configured with means to assign nouns that fit the context of the sentence in which said nouns occur; (f) a generic noun disambiguation engine configured with means to identify context shifts produced by use of nouns selected from the group of generic nouns, common nouns; (g) a pronoun disambiguation engine configured with means to link common nouns to proper corresponding nouns; (h) a data evaluation engine configured with means to identify well-formed sentences containing information of maximal semantic value; (i) a retrieval engine configured with means to return information with maximal semantic value score for a given search term; (j) a context targeting engine configured with means to display in context the specific output sentence that is generated by the input query, in the context of the source article containing said sentence; wherein one or more users can dynamically obtain responses to queries of multiple search terms across bodies of corpus. | 1. A computer-implemented, informational retrieval system for real-time, interactive semantic curation from a networked database, the system comprising: (a) a gloss vector engine configured with means to generate semantic gloss vectors for data mining by unsupervised machine learning; (b) a deconstruction engine configured with means to identify well-formed sentences; (c) a data discovery engine configured with means to identify indirect communicating links; (d) a collocation engine configured with means to identify compound nouns; (e) a disambiguation engine configured with means to assign nouns that fit the context of the sentence in which said nouns occur; (f) a generic noun disambiguation engine configured with means to identify context shifts produced by use of nouns selected from the group of generic nouns, common nouns; (g) a pronoun disambiguation engine configured with means to link common nouns to proper corresponding nouns; (h) a data evaluation engine configured with means to identify well-formed sentences containing information of maximal semantic value; (i) a retrieval engine configured with means to return information with maximal semantic value score for a given search term; (j) a context targeting engine configured with means to display in context the specific output sentence that is generated by the input query, in the context of the source article containing said sentence; wherein one or more users can dynamically obtain responses to queries of multiple search terms across bodies of corpus. 7. The generic noun disambiguation engine of the computer-implemented, information retrieval system of claim 1 further comprising mean for identification of a context shift so that said shift in context retains factual information. | 0.752146 |
8,312,032 | 1 | 12 | 1. A method for processing query information, comprising: at a server system with one or more processors and memory storing one or more programs for execution by the one or more processors, the one or more programs storing instructions for: prior to a user of a client device signaling completion of a search query: receiving from the client device a partial search query, the client device located remotely from the server; predicting from the partial search query a set of predicted complete queries relevant to the partial search query, where the predicted complete queries comprise previously submitted complete queries submitted by a community of users, wherein the partial search query and the set of predicted complete queries are in a first language; subsequent to the predicting, obtaining translations of at least a subset of the set of predicted complete queries, wherein the translations are in a second language different from the first language, and the subset comprises multiple predicted complete queries, wherein the first and second languages are predicted based, at least in part, on the partial search query; and conveying both the set of predicted complete queries and the corresponding translations to the client device for concurrent display. | 1. A method for processing query information, comprising: at a server system with one or more processors and memory storing one or more programs for execution by the one or more processors, the one or more programs storing instructions for: prior to a user of a client device signaling completion of a search query: receiving from the client device a partial search query, the client device located remotely from the server; predicting from the partial search query a set of predicted complete queries relevant to the partial search query, where the predicted complete queries comprise previously submitted complete queries submitted by a community of users, wherein the partial search query and the set of predicted complete queries are in a first language; subsequent to the predicting, obtaining translations of at least a subset of the set of predicted complete queries, wherein the translations are in a second language different from the first language, and the subset comprises multiple predicted complete queries, wherein the first and second languages are predicted based, at least in part, on the partial search query; and conveying both the set of predicted complete queries and the corresponding translations to the client device for concurrent display. 12. The method of claim 1 , wherein the predicted complete queries are pre-filtered to remove a set of predefined complete queries. | 0.821526 |
7,773,812 | 9 | 10 | 9. A computer system configured with a processor and one or more computer-readable media having computer-useable instructions embodied thereon for performing a method of determining a similarity of a set of comparison products to a focal product in a computer system having a display device rendering a graphical user interface, the method comprising: obtaining a user selection of a focal product, the focal product having a plurality of attributes; obtaining a set of attribute weightings and weighting the plurality of attributes; obtaining a set of comparison products via a wide-vector analysis, wherein each of the comparison products have a plurality of attributes in common with the focal product; filling data holes for comparison products missing attributes present in the focal product, wherein the data holes are filled with values that represents the attribute averages for other comparison products having the missing attributes, the other comparison products are in a product family associated with the comparison product missing the attributes; determining a similarity score for each of the comparison products according to the plurality of attributes in common with the focal product and the attribute weightings, each similarity score representing the distance of similarity of the comparison product to the focal product, wherein the distance of similarity of the comparison product to the focal product is determined by: comparing each quantitative attribute (y) of the comparison product to each quantitative attribute (x) of the focal product to calculate a total weighted distance between the focal product and the comparison product, wherein the total weighted distance for the comparison product represents a total quantitative score (d xy ) for the comparison product, d xy = β i = 1 n β’ β’ ( w i β‘ ( x i - y i ) ) 2 , where n is the number of quantitative attributes and w is the weight, comparing each categorical attribute of the comparison product to each categorical attribute of the focal product to identify matches between the focal product and the comparison product, wherein the weight of each matching categorical attribute is included to calculate a total categorical score for the comparison products, by evaluating sum j i m = { if β’ β’ x j = y j , β’ then β’ β’ sum j = 1 ; else sum j = 0 } where m is the number of categorical attributes, and determining a total score (sim xy ) based upon said total categorical and quantitative scores for each of the one or more comparison products sim xy = sim c β‘ ( xy ) Β· ( β i = 1 n β’ β’ w ci ) + sim q β‘ ( xy ) Β· ( β j = 1 m β’ β’ w qi ) β i = 1 n β’ β’ w ci + ( β j = 1 m β’ β’ w qi ) β’ β’ where β’ β’ sim cxy = β j m β’ β’ w j β’ sum j β j m β’ β’ w j β’ β’ and β’ β’ sim qxy = 1 - d xy max β’ ο d ο , max β’ ο d ο is evaluated using boundary values for each quantitative attribute and said weighting of said plurality of attributes further comprises user-weightings that specify the importance of the attribute to the user and editorial-weightings that are system defaults; and outputting the set of comparison products with the corresponding determined similarity scores for display on the display device, wherein the set of output comparison products are ordered according to the similarity scores. | 9. A computer system configured with a processor and one or more computer-readable media having computer-useable instructions embodied thereon for performing a method of determining a similarity of a set of comparison products to a focal product in a computer system having a display device rendering a graphical user interface, the method comprising: obtaining a user selection of a focal product, the focal product having a plurality of attributes; obtaining a set of attribute weightings and weighting the plurality of attributes; obtaining a set of comparison products via a wide-vector analysis, wherein each of the comparison products have a plurality of attributes in common with the focal product; filling data holes for comparison products missing attributes present in the focal product, wherein the data holes are filled with values that represents the attribute averages for other comparison products having the missing attributes, the other comparison products are in a product family associated with the comparison product missing the attributes; determining a similarity score for each of the comparison products according to the plurality of attributes in common with the focal product and the attribute weightings, each similarity score representing the distance of similarity of the comparison product to the focal product, wherein the distance of similarity of the comparison product to the focal product is determined by: comparing each quantitative attribute (y) of the comparison product to each quantitative attribute (x) of the focal product to calculate a total weighted distance between the focal product and the comparison product, wherein the total weighted distance for the comparison product represents a total quantitative score (d xy ) for the comparison product, d xy = β i = 1 n β’ β’ ( w i β‘ ( x i - y i ) ) 2 , where n is the number of quantitative attributes and w is the weight, comparing each categorical attribute of the comparison product to each categorical attribute of the focal product to identify matches between the focal product and the comparison product, wherein the weight of each matching categorical attribute is included to calculate a total categorical score for the comparison products, by evaluating sum j i m = { if β’ β’ x j = y j , β’ then β’ β’ sum j = 1 ; else sum j = 0 } where m is the number of categorical attributes, and determining a total score (sim xy ) based upon said total categorical and quantitative scores for each of the one or more comparison products sim xy = sim c β‘ ( xy ) Β· ( β i = 1 n β’ β’ w ci ) + sim q β‘ ( xy ) Β· ( β j = 1 m β’ β’ w qi ) β i = 1 n β’ β’ w ci + ( β j = 1 m β’ β’ w qi ) β’ β’ where β’ β’ sim cxy = β j m β’ β’ w j β’ sum j β j m β’ β’ w j β’ β’ and β’ β’ sim qxy = 1 - d xy max β’ ο d ο , max β’ ο d ο is evaluated using boundary values for each quantitative attribute and said weighting of said plurality of attributes further comprises user-weightings that specify the importance of the attribute to the user and editorial-weightings that are system defaults; and outputting the set of comparison products with the corresponding determined similarity scores for display on the display device, wherein the set of output comparison products are ordered according to the similarity scores. 10. The system of claim 9 , wherein said one or more attributes comprise a selection of at least one of the following: one or more discrete in nature attributes; one or more continuous in nature attributes; one or more categorical in nature attributes; one or more binary in nature attributes; one or more quantitative in nature attributes; one or more aggregate in nature attributes; and combinations thereof. | 0.734456 |
7,921,018 | 8 | 11 | 8. A method of providing translation service, comprising the steps of: receiving original text written in a mother language from a user's terminal; determining whether the received original text conforms to guidelines for writing original text; transmitting selection information for selecting a dictionary to be used as a reference in translation to the user's terminal, if the original text conforms to the guidelines for writing original text; receiving a selection signal selecting a specific dictionary for translation from the user's terminal; translating the text based on the dictionary for translation specified by the selection signal; transmitting output translated text to the user's terminal; and receiving a signal indicating whether or not to approve the translated text from the user's terminal. | 8. A method of providing translation service, comprising the steps of: receiving original text written in a mother language from a user's terminal; determining whether the received original text conforms to guidelines for writing original text; transmitting selection information for selecting a dictionary to be used as a reference in translation to the user's terminal, if the original text conforms to the guidelines for writing original text; receiving a selection signal selecting a specific dictionary for translation from the user's terminal; translating the text based on the dictionary for translation specified by the selection signal; transmitting output translated text to the user's terminal; and receiving a signal indicating whether or not to approve the translated text from the user's terminal. 11. The method according to claim 8 , further comprising the steps of: upon receipt of a signal not to approve the translated text, receiving a control signal replacing the dictionary for translation specified by the selection signal with one of the basic dictionary basically provided by the translation service provider and the plurality of user dictionaries directly generated and stored in the translation server by users; and replacing the dictionary for translation according to the control signal and translating the original text again. | 0.5 |
9,734,845 | 6 | 7 | 6. A processor-implemented method, comprising: receiving, from one or more microphones, a plurality of audio signals, wherein the plurality of audio signals are processed by an audio beamformer to produce directional audio signals, wherein a first audio signal of the directional audio signals corresponds to a first direction with respect to the one or more microphones and wherein a second audio signal of the directional audio signals corresponds to a second direction with respect to the one or more microphones, wherein the first audio signal and the second audio signal emphasize sound from the first direction and the second direction, respectively; identifying the first direction as an identified direction in which a non-human sound source is located; analyzing the first audio signal to identify a representation of speech; determining that the first audio signal corresponds to the identified direction in which the non-human sound source is located; selecting a first standard to analyze the first audio signal based at least in part on the first audio signal corresponding to the identified direction of the non-human sound source; analyzing the first audio signal using the first standard to detect an utterance of a trigger expression; analyzing the second audio signal using a second standard to detect the utterance of the trigger expression, wherein the first standard includes (i) a first threshold that is greater than a second threshold associated with the second standard or (ii) a first detection algorithm that is different than a second detection algorithm associated with the second standard; and receiving, from the one or more microphones, a third audio signal including subsequent speech for performing subsequent speech recognition, based at least in part on the utterance of the trigger expression. | 6. A processor-implemented method, comprising: receiving, from one or more microphones, a plurality of audio signals, wherein the plurality of audio signals are processed by an audio beamformer to produce directional audio signals, wherein a first audio signal of the directional audio signals corresponds to a first direction with respect to the one or more microphones and wherein a second audio signal of the directional audio signals corresponds to a second direction with respect to the one or more microphones, wherein the first audio signal and the second audio signal emphasize sound from the first direction and the second direction, respectively; identifying the first direction as an identified direction in which a non-human sound source is located; analyzing the first audio signal to identify a representation of speech; determining that the first audio signal corresponds to the identified direction in which the non-human sound source is located; selecting a first standard to analyze the first audio signal based at least in part on the first audio signal corresponding to the identified direction of the non-human sound source; analyzing the first audio signal using the first standard to detect an utterance of a trigger expression; analyzing the second audio signal using a second standard to detect the utterance of the trigger expression, wherein the first standard includes (i) a first threshold that is greater than a second threshold associated with the second standard or (ii) a first detection algorithm that is different than a second detection algorithm associated with the second standard; and receiving, from the one or more microphones, a third audio signal including subsequent speech for performing subsequent speech recognition, based at least in part on the utterance of the trigger expression. 7. The processor-implemented method of claim 6 , further comprising: producing a first score indicating a first likelihood that the trigger expression is represented by the first audio signal; comparing the first score to the first threshold; producing a second score indicating a second likelihood that the trigger expression is represented by the second audio signal; and comparing the second score to the second threshold. | 0.5 |
4,513,435 | 2 | 3 | 2. A continuous speech recognition system as claimed in claim 1, wherein said reference pattern memorizing means comprises: means for holding, at one time, parameters characteristic of at least those two of said preselected reference words which are continuously pronounced; a reference pattern memory; and means for operatively connecting said parameter holding means and said reference pattern memory to segmenting means operable at first to segment, with each of said preselected reference wors selected, a former and a latter reference pattern segment from a parameter sequence representative of the selected reference word at the intra-word characteristic point thereof and to store said former and said latter reference pattern segments in said reference pattern memory as those two of said discrete demi-word pair reference patterns in which the preceding and the succeeding reference words are null reference words, respectively, and thereafter operable to form, for each pair of those first and second selected ones of said preselected reference words which are successively continuously pronounced, a segment concatenation of the former and the latter reference pattern segments for the first selected reference word and the former and the latter reference pattern segments for the second selected reference word, to find a pair of intra-word characteristic points in a parameter sequence representative of the first and the second selected and successively continuously pronounced reference words with reference to said segment concatenation, to segment a word pair reference pattern segment from the last-mentioned parameter sequence at said intra-word characteristic point pair, and to store said word pair reference pattern segment in said reference pattern memory as one of said discrete demi-word pair reference patterns. | 2. A continuous speech recognition system as claimed in claim 1, wherein said reference pattern memorizing means comprises: means for holding, at one time, parameters characteristic of at least those two of said preselected reference words which are continuously pronounced; a reference pattern memory; and means for operatively connecting said parameter holding means and said reference pattern memory to segmenting means operable at first to segment, with each of said preselected reference wors selected, a former and a latter reference pattern segment from a parameter sequence representative of the selected reference word at the intra-word characteristic point thereof and to store said former and said latter reference pattern segments in said reference pattern memory as those two of said discrete demi-word pair reference patterns in which the preceding and the succeeding reference words are null reference words, respectively, and thereafter operable to form, for each pair of those first and second selected ones of said preselected reference words which are successively continuously pronounced, a segment concatenation of the former and the latter reference pattern segments for the first selected reference word and the former and the latter reference pattern segments for the second selected reference word, to find a pair of intra-word characteristic points in a parameter sequence representative of the first and the second selected and successively continuously pronounced reference words with reference to said segment concatenation, to segment a word pair reference pattern segment from the last-mentioned parameter sequence at said intra-word characteristic point pair, and to store said word pair reference pattern segment in said reference pattern memory as one of said discrete demi-word pair reference patterns. 3. A continuous speech recognition system as claimed in claim 2, wherein the intra-word characteristic point is an instant which substantially bisects a duration of a parameter sequence representative of each of said preselected reference words. | 0.903009 |
10,147,066 | 8 | 14 | 8. An apparatus comprising: a business process management (BPM) system managing operations of a plurality of business processes, wherein the BPM system comprises an execution engine for processing models corresponding to the plurality of business processes, and a business process framework (BPF) device configured to provide a consistent user interface for managing business processes across a business organization, wherein the BPF is communicatively coupled to the BPM system, and wherein the BPF comprises: a processor; a non-transitory memory device communicatively coupled to the processor and storing instructions that, when executed by the processor, cause the BPF device to: generate, via a modeling interface, at least one user interface screen to facilitate entry of business process information corresponding to a business process; generate, by the modeling interface, a representation of the business process in a modeling language based on the business process information; and trigger, via a model execution device, execution of a business process model by the execution engine of the BPM system wherein the business process model is based on the representation of the business process generated by the modeling interface; and a business rule monitoring device, wherein the business rule monitoring device is communicatively coupled to the execution engine and processes instructions that cause the business rule monitoring device to: monitor, in near real-time via a network, an operation of the business process model when executed by the execution engine in response to a process input and a resulting output; generate metrics by a metrics subsystem using a common schema and collection method, the metrics corresponding to the operation of the business process model based on business process executions gathered in near real-time that are logged via asynchronous tracing sessions managed by a security service implemented as a persistent security certificate and a dedicated BPM system user identifier requiring a valid user token to make a secured system call; and update the execution engine of the BPM with process instance information associated with the operation of the business process model. | 8. An apparatus comprising: a business process management (BPM) system managing operations of a plurality of business processes, wherein the BPM system comprises an execution engine for processing models corresponding to the plurality of business processes, and a business process framework (BPF) device configured to provide a consistent user interface for managing business processes across a business organization, wherein the BPF is communicatively coupled to the BPM system, and wherein the BPF comprises: a processor; a non-transitory memory device communicatively coupled to the processor and storing instructions that, when executed by the processor, cause the BPF device to: generate, via a modeling interface, at least one user interface screen to facilitate entry of business process information corresponding to a business process; generate, by the modeling interface, a representation of the business process in a modeling language based on the business process information; and trigger, via a model execution device, execution of a business process model by the execution engine of the BPM system wherein the business process model is based on the representation of the business process generated by the modeling interface; and a business rule monitoring device, wherein the business rule monitoring device is communicatively coupled to the execution engine and processes instructions that cause the business rule monitoring device to: monitor, in near real-time via a network, an operation of the business process model when executed by the execution engine in response to a process input and a resulting output; generate metrics by a metrics subsystem using a common schema and collection method, the metrics corresponding to the operation of the business process model based on business process executions gathered in near real-time that are logged via asynchronous tracing sessions managed by a security service implemented as a persistent security certificate and a dedicated BPM system user identifier requiring a valid user token to make a secured system call; and update the execution engine of the BPM with process instance information associated with the operation of the business process model. 14. The apparatus of claim 8 , wherein the BPM system further comprises a business process modeler device and a business rule monitoring device, wherein the business process modeler device, the execution engine and the business rule monitoring device are provided by at least two different vendors. | 0.5 |
9,552,412 | 20 | 27 | 20. A system, comprising: one or more processors; and memory storing instructions that when executed by at least some of the processors effectuate operations comprising: obtaining, with one or more processors, a query provided by a user via a user's computing device; searching, with one or more processors, a corpus of documents based on the query to identify responsive documents, the corpus having more than 2,000 documents; selecting, with one or more processors, narrowing terms that pertain to respective subsets of the responsive documents; selecting, with one or more processors, broadening terms related to the query; instructing, with one or more processors, the user's computing device to present a graphical user interface comprising: graphical representations of the narrowing terms; graphical representations of the broadening terms; and one or more user inputs by which the user refines the query by adding a selected narrowing term or a selected broadening term; obtaining, with one or more processors, a user selection of a broadening term or a narrowing term; forming, with one or more processors, a refined query based on the user selection; searching, with one or more processors, at least part of the corpus based on the refined query to identify refined responsive documents; and instructing, with one or more processors, the user's computing device to present an updated graphical user interface with information about the refined responsive documents, wherein the updated graphical user interface comprises a query entry input having graphical regions representing query constituent components and user-selectable inputs for each of the components by which the respective component is removed from the query. | 20. A system, comprising: one or more processors; and memory storing instructions that when executed by at least some of the processors effectuate operations comprising: obtaining, with one or more processors, a query provided by a user via a user's computing device; searching, with one or more processors, a corpus of documents based on the query to identify responsive documents, the corpus having more than 2,000 documents; selecting, with one or more processors, narrowing terms that pertain to respective subsets of the responsive documents; selecting, with one or more processors, broadening terms related to the query; instructing, with one or more processors, the user's computing device to present a graphical user interface comprising: graphical representations of the narrowing terms; graphical representations of the broadening terms; and one or more user inputs by which the user refines the query by adding a selected narrowing term or a selected broadening term; obtaining, with one or more processors, a user selection of a broadening term or a narrowing term; forming, with one or more processors, a refined query based on the user selection; searching, with one or more processors, at least part of the corpus based on the refined query to identify refined responsive documents; and instructing, with one or more processors, the user's computing device to present an updated graphical user interface with information about the refined responsive documents, wherein the updated graphical user interface comprises a query entry input having graphical regions representing query constituent components and user-selectable inputs for each of the components by which the respective component is removed from the query. 27. The system of claim 20 , wherein: the narrowing terms are selected by performing steps for selecting narrowing terms. | 0.914306 |
8,954,319 | 1 | 4 | 1. A method comprising: at each turn in a dialog, nominating via a processor, using a partially observable Markov decision process in parallel with a conventional dialog state, a set of allowed dialog actions and a set of contextual features; and generating a response based on the set of contextual features and a dialog action selected, via a machine learning algorithm, from the set of allowed dialog actions. | 1. A method comprising: at each turn in a dialog, nominating via a processor, using a partially observable Markov decision process in parallel with a conventional dialog state, a set of allowed dialog actions and a set of contextual features; and generating a response based on the set of contextual features and a dialog action selected, via a machine learning algorithm, from the set of allowed dialog actions. 4. The method of claim 1 , wherein the set of allowed dialog actions comprises a set of business rules. | 0.772124 |
8,527,432 | 1 | 2 | 1. A semisupervised learning method, comprising: analyzing a data set using at least one automated processor, comprising labeled data and unlabeled data, by performing a principal component analysis to derive parameters of a parametric function of the feature space reflecting a geometric structure of a marginal distribution of the data set according to its principal components; performing supervised learning on the labeled data using the at least one automated processor, based on the parametric function of the feature space reflecting the geometric structure of the marginal distribution of the entire data set; and storing information derived from said supervised learning in a computer memory, wherein the parametric function is dependent on both the data set and said principal component analysis. | 1. A semisupervised learning method, comprising: analyzing a data set using at least one automated processor, comprising labeled data and unlabeled data, by performing a principal component analysis to derive parameters of a parametric function of the feature space reflecting a geometric structure of a marginal distribution of the data set according to its principal components; performing supervised learning on the labeled data using the at least one automated processor, based on the parametric function of the feature space reflecting the geometric structure of the marginal distribution of the entire data set; and storing information derived from said supervised learning in a computer memory, wherein the parametric function is dependent on both the data set and said principal component analysis. 2. The method according to claim 1 , wherein the analyzing is performed through a parametric function by principal component analysis in a Reproducing Kernel Hilbert Space, and the supervised learning is performed based on the labeled data in the Reproducing Kernel Hilbert Space, the Reproducing Kernel Hilbert Space being extended by including the parametric function derived based on the entire data set. | 0.5 |
9,769,107 | 1 | 7 | 1. A method comprising: receiving, from a first user device, activity information on an activity performed by a user of the first user device; receiving, from the first user device, a location where the first user device has stayed for at least a threshold amount of time; automatically determining, based on the activity information, a type of the activity; creating a social group based on the location and the type of the activity, including determining a theme of the social group based on the type of the activity; determining that a first condition that a second user device is located at the location or will visit the location is satisfied; determining that a second condition that the second user device seeks information related to the location or related to the theme of the social group is satisfied; and in response to determining that the first and second conditions are satisfied, providing a recommendation to join the social group to the second user device, wherein the method is performed by one or more computers. | 1. A method comprising: receiving, from a first user device, activity information on an activity performed by a user of the first user device; receiving, from the first user device, a location where the first user device has stayed for at least a threshold amount of time; automatically determining, based on the activity information, a type of the activity; creating a social group based on the location and the type of the activity, including determining a theme of the social group based on the type of the activity; determining that a first condition that a second user device is located at the location or will visit the location is satisfied; determining that a second condition that the second user device seeks information related to the location or related to the theme of the social group is satisfied; and in response to determining that the first and second conditions are satisfied, providing a recommendation to join the social group to the second user device, wherein the method is performed by one or more computers. 7. The method of claim 1 , wherein determining the theme comprises determining web content or application programs to be associated with the social group based on the type of the activity. | 0.819578 |
7,974,864 | 15 | 16 | 15. A method for managing business-driven learning efforts to meet learning needs of a sales-based organization, the method comprising: providing a system comprising a memory to store instructions, a processor having a plurality of software modules for accessing the instructions stored in the memory, wherein the plurality of software modules comprise a business strategy alignment module, a content management module, a delivery module, and a learning administration module; and executing the instructions by the processor to perform: receiving, by the business strategy alignment module, a request that identifies a first learning need related to a customer solution, wherein the customer solution comprises a group of products for meeting business needs of a customer of the sales-based organization; and accepting the request or denying the request, by the business strategy alignment module, in view of recognized and prioritized learning needs of the sales-based organization, wherein accepting the request further comprises selecting a learning approach to meet the first learning need; designing, procuring and managing a first learning effort comprising information relating to an interplay of the products associated with the customer solution, wherein the first learning effort is based on the selected learning approach, and wherein designing, procuring and managing is performed by the content management module, and coordinating, by the delivery module, learning solution resources for providing the first learning effort to members of the sales-based organization or departments within the sales-based organization across a plurality of training media; and managing and tracking availability, delivery, and results of the first learning effort in relation to the members or the departments, by the learning administration module. | 15. A method for managing business-driven learning efforts to meet learning needs of a sales-based organization, the method comprising: providing a system comprising a memory to store instructions, a processor having a plurality of software modules for accessing the instructions stored in the memory, wherein the plurality of software modules comprise a business strategy alignment module, a content management module, a delivery module, and a learning administration module; and executing the instructions by the processor to perform: receiving, by the business strategy alignment module, a request that identifies a first learning need related to a customer solution, wherein the customer solution comprises a group of products for meeting business needs of a customer of the sales-based organization; and accepting the request or denying the request, by the business strategy alignment module, in view of recognized and prioritized learning needs of the sales-based organization, wherein accepting the request further comprises selecting a learning approach to meet the first learning need; designing, procuring and managing a first learning effort comprising information relating to an interplay of the products associated with the customer solution, wherein the first learning effort is based on the selected learning approach, and wherein designing, procuring and managing is performed by the content management module, and coordinating, by the delivery module, learning solution resources for providing the first learning effort to members of the sales-based organization or departments within the sales-based organization across a plurality of training media; and managing and tracking availability, delivery, and results of the first learning effort in relation to the members or the departments, by the learning administration module. 16. The method according to claim 15 , further comprising assessing whether the business driven learning efforts meet strategic business goals and priorities of the sales-based organization. | 0.785068 |
9,377,951 | 9 | 16 | 9. An electronic device comprising: a memory storing instructions; a keyboard including a plurality of keys; and a processor executing the instructions to perform the steps of: detecting an ambiguous input comprising a number of key selections; identifying linguistic elements corresponding to the key selections; identifying a default language object having at least an initial portion that corresponds with at least a portion of the identified linguistic elements; highlighting keys on the keyboard corresponding to the default language object with a first highlighting; identifying at least one predictive linguistic element for the default language object; and highlighting on the keyboard the at least one predictive linguistic element using a second highlighting. | 9. An electronic device comprising: a memory storing instructions; a keyboard including a plurality of keys; and a processor executing the instructions to perform the steps of: detecting an ambiguous input comprising a number of key selections; identifying linguistic elements corresponding to the key selections; identifying a default language object having at least an initial portion that corresponds with at least a portion of the identified linguistic elements; highlighting keys on the keyboard corresponding to the default language object with a first highlighting; identifying at least one predictive linguistic element for the default language object; and highlighting on the keyboard the at least one predictive linguistic element using a second highlighting. 16. The electronic device of claim 9 the processor executing the instructions to perform the further steps of: detecting a finalization input; outputting at a text input location on an output portion a word corresponding with the input; and sequentially highlighting on the keyboard the linguistic elements corresponding with the word. | 0.556878 |
7,720,789 | 7 | 10 | 7. A computer-readable storage medium encoded with executable instructions for causing a programmable processor to: select a MUN transformation, wherein the instructions to select the MUN transformation comprise instructions to: receive a source report dimensional member reference and a target report dimensional member reference; and select the MUN transformation based upon: a source model type associated with the source dimensional member reference; and a target model type associated with the target dimensional member reference; and transform a MUN of a first data source into a MUN of a second data source, the instructions to transform comprising at least one of: instructions to transform a first OLAP MUN to a second OLAP MUN, the first OLAP MUN and second OLAP MUN being of different source technologies; or instructions to transform a DMR MUN to an OLAP MUN. | 7. A computer-readable storage medium encoded with executable instructions for causing a programmable processor to: select a MUN transformation, wherein the instructions to select the MUN transformation comprise instructions to: receive a source report dimensional member reference and a target report dimensional member reference; and select the MUN transformation based upon: a source model type associated with the source dimensional member reference; and a target model type associated with the target dimensional member reference; and transform a MUN of a first data source into a MUN of a second data source, the instructions to transform comprising at least one of: instructions to transform a first OLAP MUN to a second OLAP MUN, the first OLAP MUN and second OLAP MUN being of different source technologies; or instructions to transform a DMR MUN to an OLAP MUN. 10. The computer-readable storage medium of claim 7 , wherein the collection of MUN transformations comprises one or more of: an OLAP to canonical transformation for when the underlying data source of the source model is OLAP and the underlying data source of the target model is unknown; a DMR to canonical transformation for when the underlying data source of the source model is DMR and the underlying data source of the target model is unknown; a DMR to DMR transformation for when the underlying data source of both the source model and target model are DMR; a same source OLAP to OLAP transformation for when the underlying data source of both of the source model and target model are OLAP from the same source data type; a different source OLAP to OLAP transformation for when the underlying data source of both of the source model and target model are OLAP from different source data types; a DMR to OLAP transformation for when the underlying data source of the source model is DMR and the underlying data source of the target model is OLAP; and an OLAP to DMR transformation for when the underlying data source of the source model is OLAP and the underlying data source of the target model is DMR. | 0.5 |
9,530,508 | 1 | 2 | 1. An operating method for operating a memory device, which comprises a substrate, a plurality of word lines, and a plurality of dummy word lines, wherein the word lines and the dummy word lines are disposed on the substrate, at least one side of each of the dummy word lines is adjacent to the word line, and two dummy word lines are respectively disposed on two sides of each of the word lines, wherein at least one word line and at least one dummy word line form a group, the operating method comprising: selecting at least one group and performing an operation on the selected group; applying a first operational voltage to the word line of the selected group; and applying a second operational voltage to the dummy word line of the selected group, wherein when the first operational voltage is applied to the word line of the selected group, the second operational voltage is applied to the dummy word line of the selected group simultaneously. | 1. An operating method for operating a memory device, which comprises a substrate, a plurality of word lines, and a plurality of dummy word lines, wherein the word lines and the dummy word lines are disposed on the substrate, at least one side of each of the dummy word lines is adjacent to the word line, and two dummy word lines are respectively disposed on two sides of each of the word lines, wherein at least one word line and at least one dummy word line form a group, the operating method comprising: selecting at least one group and performing an operation on the selected group; applying a first operational voltage to the word line of the selected group; and applying a second operational voltage to the dummy word line of the selected group, wherein when the first operational voltage is applied to the word line of the selected group, the second operational voltage is applied to the dummy word line of the selected group simultaneously. 2. The operating method according to claim 1 , wherein the first operational voltage and the second operational voltage are equal. | 0.532374 |
10,152,970 | 2 | 3 | 2. The method of claim 1 , further comprising training the generative adversarial network by: providing training data to the generator component of the generative adversarial network, generating, by the generator component, computer responses to the training data, evaluating, by the discriminator component of the generative adversarial network, the generated computer responses by at least one comparison to the training data, ranking, by the discriminator component, the generated computer responses, and adjusting one or more parameters of the generator component based on the ranking of the generated computer responses. | 2. The method of claim 1 , further comprising training the generative adversarial network by: providing training data to the generator component of the generative adversarial network, generating, by the generator component, computer responses to the training data, evaluating, by the discriminator component of the generative adversarial network, the generated computer responses by at least one comparison to the training data, ranking, by the discriminator component, the generated computer responses, and adjusting one or more parameters of the generator component based on the ranking of the generated computer responses. 3. The method of claim 2 , wherein the training data further comprises noise. | 0.5 |
9,367,539 | 3 | 4 | 3. The apparatus of claim 2 , the intermediate component operative to create the plurality of intermediate documents from the extracted translatable content, the intermediate component to create paragraphs tags for each identified paragraph, identify a predominant style identifier for each paragraph, associate each paragraph with its predominant style identifier, identify off-style runs in each paragraph, create style tags for each off-style run, and create annotation tags from the annotation identifiers. | 3. The apparatus of claim 2 , the intermediate component operative to create the plurality of intermediate documents from the extracted translatable content, the intermediate component to create paragraphs tags for each identified paragraph, identify a predominant style identifier for each paragraph, associate each paragraph with its predominant style identifier, identify off-style runs in each paragraph, create style tags for each off-style run, and create annotation tags from the annotation identifiers. 4. The apparatus of claim 3 , the intermediate component operative to extract the translated content from the plurality of translated intermediate documents, the intermediate component to identify one or more translated paragraphs in the translated intermediate documents, extract translated text from the one or more translated paragraphs, associate the translated text of each translated paragraph with the associated predominant style identifier for the translated paragraph, identify translated off-style runs in each translated paragraph, associate style identifiers with the text of each identified translated off-style run, identify annotations in the translated intermediate documents, and associate annotation identifiers from the identified annotations with their place in the extracted translated text. | 0.5 |
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