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8,694,555 | 4 | 5 | 4. A computer-assisted method of processing a drug information source, the drug information source comprising at least one instance of adverse event content, each instance of adverse event content comprising at least one adverse event characterization, the method comprising: detecting at least one instance of adverse event content from a drug information source; and parsing at least one adverse event characterization from at least one detected instance of adverse event content, whereby a subset of the drug information source is processed into at least one parsed adverse event characterization. | 4. A computer-assisted method of processing a drug information source, the drug information source comprising at least one instance of adverse event content, each instance of adverse event content comprising at least one adverse event characterization, the method comprising: detecting at least one instance of adverse event content from a drug information source; and parsing at least one adverse event characterization from at least one detected instance of adverse event content, whereby a subset of the drug information source is processed into at least one parsed adverse event characterization. 5. The method of claim 4 further comprising: validating at least one parsed adverse event characterization. | 0.921324 |
8,762,317 | 1 | 7 | 1. A device comprising: one or more processors; and one or more computer-readable storage media embodying computer readable instructions including: a resource analysis utility that is configured to: enable selection of multiple resources; analyze the multiple resources according to one or more localization rules to determine if one or more localization problems exist with the multiple resources, the localization rules having one or more conditions and being configured to detect a pattern associated with the multiple resources; generate one or more pseudo-localized versions of the multiple resources; and determine a pattern variation across the one or more pseudo-localized versions of the multiple resources; a graphical user interface (GUI) that enables resource files to be selected and rules to be selected that are to be used to analyze the resource files; and a reporting module that is configured to output localization results in a plurality of languages for one or more of the multiple resources, the localization results being a report displayable in the GUI responsive to selection of a report control configured to present a plurality of reporting functionalities. | 1. A device comprising: one or more processors; and one or more computer-readable storage media embodying computer readable instructions including: a resource analysis utility that is configured to: enable selection of multiple resources; analyze the multiple resources according to one or more localization rules to determine if one or more localization problems exist with the multiple resources, the localization rules having one or more conditions and being configured to detect a pattern associated with the multiple resources; generate one or more pseudo-localized versions of the multiple resources; and determine a pattern variation across the one or more pseudo-localized versions of the multiple resources; a graphical user interface (GUI) that enables resource files to be selected and rules to be selected that are to be used to analyze the resource files; and a reporting module that is configured to output localization results in a plurality of languages for one or more of the multiple resources, the localization results being a report displayable in the GUI responsive to selection of a report control configured to present a plurality of reporting functionalities. 7. The device of claim 1 , wherein the reporting module is further configured to output a statistics table that includes statistics associated with the localization results. | 0.627155 |
5,504,891 | 1 | 5 | 1. A method of changing a format of a file, comprising the steps of: inputting a first element having a first representation; converting said first element of the first representation to a second representation; inputting a subsequent element of the first representation; determining if a second representation of the subsequent element includes a portion which is found in the second representation of said first element; converting said subsequent element to the second representation including said portion when said determining step determines that said portion is not found in the second representation of said first element; and converting said subsequent element to the second representation without said portion when said determining step determines that said portion is found in the second representation of said first element. | 1. A method of changing a format of a file, comprising the steps of: inputting a first element having a first representation; converting said first element of the first representation to a second representation; inputting a subsequent element of the first representation; determining if a second representation of the subsequent element includes a portion which is found in the second representation of said first element; converting said subsequent element to the second representation including said portion when said determining step determines that said portion is not found in the second representation of said first element; and converting said subsequent element to the second representation without said portion when said determining step determines that said portion is found in the second representation of said first element. 5. A method according to claim 1, wherein said first representation is a textual representation and said second representation is a binary representation. | 0.889368 |
8,458,766 | 1 | 14 | 1. A method of automated managing an ordered set of security rules implemented at one or more security gateways, the method comprising: a. obtaining data characterizing a connectivity request which may become allowable only upon changes of an initial rule-set, thus giving rise to an unfitting connectivity request; b. automated searching for a rule within said ordered set of security rules, said rule best matching to be amended in order to facilitate allowance of the unfitting connectivity request, wherein best matching is defined in accordance with one or more predefined criteria; c. automated generating amendment of the best matching rule, said amendment capable to facilitate allowance of the unfitting connectivity request; and d. automated implementing the generated amendment at one or more relevant security gateways among said one or more security gateways, thus giving rise to an amended rule-set. | 1. A method of automated managing an ordered set of security rules implemented at one or more security gateways, the method comprising: a. obtaining data characterizing a connectivity request which may become allowable only upon changes of an initial rule-set, thus giving rise to an unfitting connectivity request; b. automated searching for a rule within said ordered set of security rules, said rule best matching to be amended in order to facilitate allowance of the unfitting connectivity request, wherein best matching is defined in accordance with one or more predefined criteria; c. automated generating amendment of the best matching rule, said amendment capable to facilitate allowance of the unfitting connectivity request; and d. automated implementing the generated amendment at one or more relevant security gateways among said one or more security gateways, thus giving rise to an amended rule-set. 14. The method of claim 1 further comprising: a. obtaining a plurality of unfitting connectivity requests, b. generating respective amendments to each request among said plurality of unfitting connectivity requests, c. queuing the generated amendments; and d. implementing the generated amendments during a certain service window. | 0.805195 |
7,792,816 | 5 | 6 | 5. A computer-readable medium having computer-readable instructions stored thereon which, as a result of being executed in a computer system having at least one user interface including at least one output device and at least one input device, instruct the computer system to perform a method, comprising: a) receiving from a user through at least one input device an identification of at least one text source; b) from each said identified text source, retrieving at least one text passage; c) for each said retrieved text passage, parsing the said passage into words, identifying multi-word expressions in the said passage and applying a stemming algorithm to the said passage; d) for each word from the said text passages, determining a number of times the said word appears in the said passages; and e) causing to be displayed on an output device a predetermined number of words from the said text passages, wherein distances between the said predetermined number of words in a display on the said output device are determined at least in part by a word weight for each said displayed word and by a link weight for each pair of said displayed words, and wherein the word weight for each said displayed word is determined at least in part by a number of times the said word appears in the said passages; and wherein the link weight for each said pair of said displayed words is determined at least in part by the number of times each said word appears in the said passages and by a number of times the said word pair appears in a same window in the said passages; and wherein the said instructions instruct the said computer system to perform the said method, further comprising, receiving the said predetermined number from a user through at least one input device; and wherein the said instructions instruct the said computer system to perform the said method, further comprising, f) receiving from a user an instruction to delete at least one word from the said display; and g) causing to be displayed on an output device the predetermined number of words from the said text passages without the at least one word which the said user instructed to be deleted; wherein distances between the said displayed words are determined at least in part by the word weight for each said displayed word and by the link weight for each pair of said displayed words, and wherein the word weight for each said displayed word is determined at least in part by a number of times the said word appears in the said passages; and wherein the link weight for each said pair of said displayed words is determined at least in part by the number of times each said word appears in the said passages and by a number of times the said word pair appears in a same window in the said passages. | 5. A computer-readable medium having computer-readable instructions stored thereon which, as a result of being executed in a computer system having at least one user interface including at least one output device and at least one input device, instruct the computer system to perform a method, comprising: a) receiving from a user through at least one input device an identification of at least one text source; b) from each said identified text source, retrieving at least one text passage; c) for each said retrieved text passage, parsing the said passage into words, identifying multi-word expressions in the said passage and applying a stemming algorithm to the said passage; d) for each word from the said text passages, determining a number of times the said word appears in the said passages; and e) causing to be displayed on an output device a predetermined number of words from the said text passages, wherein distances between the said predetermined number of words in a display on the said output device are determined at least in part by a word weight for each said displayed word and by a link weight for each pair of said displayed words, and wherein the word weight for each said displayed word is determined at least in part by a number of times the said word appears in the said passages; and wherein the link weight for each said pair of said displayed words is determined at least in part by the number of times each said word appears in the said passages and by a number of times the said word pair appears in a same window in the said passages; and wherein the said instructions instruct the said computer system to perform the said method, further comprising, receiving the said predetermined number from a user through at least one input device; and wherein the said instructions instruct the said computer system to perform the said method, further comprising, f) receiving from a user an instruction to delete at least one word from the said display; and g) causing to be displayed on an output device the predetermined number of words from the said text passages without the at least one word which the said user instructed to be deleted; wherein distances between the said displayed words are determined at least in part by the word weight for each said displayed word and by the link weight for each pair of said displayed words, and wherein the word weight for each said displayed word is determined at least in part by a number of times the said word appears in the said passages; and wherein the link weight for each said pair of said displayed words is determined at least in part by the number of times each said word appears in the said passages and by a number of times the said word pair appears in a same window in the said passages. 6. The computer-readable medium of claim 5 , wherein the said instructions instruct the said computer system to perform the said method, further comprising, for each said retrieved text passage, removing at least one stop word from the said passage. | 0.502 |
8,090,732 | 10 | 11 | 10. A method for allowing preferences of at least two users to affect a search, the method comprising: on a first communication device, specifying, by a first user, a first search query; on the first communication device, retrieving stored preferences of the first user; on a second communication device, retrieving stored preferences of a second user, the second user distinct from the first user; and on the first communication device, performing a first search, the first search based, at least in part, on the first search query and on the retrieved preferences of the first and second users, the first search returning first search results; wherein the first search is based on aspects of situational awareness consisting of: a location of the first user when specifying the first search query, a time-of-day when the first search query is specified, image data captured when the first search query is specified, sound data captured when the first search query is specified, and a presence of another member of a group that includes the first user and the second user when the first search query is specified. | 10. A method for allowing preferences of at least two users to affect a search, the method comprising: on a first communication device, specifying, by a first user, a first search query; on the first communication device, retrieving stored preferences of the first user; on a second communication device, retrieving stored preferences of a second user, the second user distinct from the first user; and on the first communication device, performing a first search, the first search based, at least in part, on the first search query and on the retrieved preferences of the first and second users, the first search returning first search results; wherein the first search is based on aspects of situational awareness consisting of: a location of the first user when specifying the first search query, a time-of-day when the first search query is specified, image data captured when the first search query is specified, sound data captured when the first search query is specified, and a presence of another member of a group that includes the first user and the second user when the first search query is specified. 11. The method of claim 10 wherein at least a portion of the first search results are presented in an order based, at least in part, on the retrieved preferences of the first user and second users. | 0.865253 |
9,852,337 | 14 | 18 | 14. A non-transitory computer readable medium (CRM) storing instructions for assessing similarity of documents, the instructions comprising functionality for: extracting a reference document text from a reference document; extracting an archived document text from an archived document; quantifying the reference document, comprising: tokenizing sentences of the reference document; and vectorizing the tokenized sentences to obtain a reference document text vector for each sentence of the reference document; quantifying the archived document, comprising: tokenizing sentences of the archived document; and vectorizing the tokenized sentences to obtain an archived document text vector for each sentence of the archived document; determining a document similarity value of the quantified reference document and the quantified archived document, comprising: calculating a plurality of vector similarity values for a plurality of combinations of a reference document text vector and an archived document text vector, the calculating including multiplying each of the vector similarity values of the plurality of vector similarity values with a corresponding weight that is determined, based at least in part on a number of skipped tokens; and calculating the document similarity value, comprising a sum of the plurality of vector similarity values. | 14. A non-transitory computer readable medium (CRM) storing instructions for assessing similarity of documents, the instructions comprising functionality for: extracting a reference document text from a reference document; extracting an archived document text from an archived document; quantifying the reference document, comprising: tokenizing sentences of the reference document; and vectorizing the tokenized sentences to obtain a reference document text vector for each sentence of the reference document; quantifying the archived document, comprising: tokenizing sentences of the archived document; and vectorizing the tokenized sentences to obtain an archived document text vector for each sentence of the archived document; determining a document similarity value of the quantified reference document and the quantified archived document, comprising: calculating a plurality of vector similarity values for a plurality of combinations of a reference document text vector and an archived document text vector, the calculating including multiplying each of the vector similarity values of the plurality of vector similarity values with a corresponding weight that is determined, based at least in part on a number of skipped tokens; and calculating the document similarity value, comprising a sum of the plurality of vector similarity values. 18. The non-transitory CRM of claim 14 , wherein the instructions for assessing similarity of documents further comprise functionality for: extracting reference document metadata from the reference document; extracting archived document metadata from the archived document; wherein quantifying the reference document further comprises: tokenizing the reference document metadata; and vectorizing the tokenized reference document metadata to obtain reference document metadata vectors for the reference document metadata; wherein quantifying the archived document further comprises: tokenizing the archived document metadata; and vectorizing the tokenized archived document metadata to obtain archived document metadata vectors for the archived document metadata; and wherein determining the document similarity value of the quantified reference document and the quantified archived document, further comprises: calculating a second plurality of vector similarity values for a plurality of combinations of a reference document metadata vector and an archived document metadata vector; and wherein the document similarity value further comprises a sum of the second plurality of vector similarity values. | 0.500416 |
8,914,295 | 17 | 18 | 17. The method of claim 16 , wherein the obtaining of the additional content by the system is according to an identity of media content, and wherein the voice message is associated with the media content being presented by the computing device at a time the voice message was captured. | 17. The method of claim 16 , wherein the obtaining of the additional content by the system is according to an identity of media content, and wherein the voice message is associated with the media content being presented by the computing device at a time the voice message was captured. 18. The method of claim 17 , comprising: applying, by the system, speech recognition to the voice message; detecting, by the system, an unclear word in the voice message according to the speech recognition; determining, by the system, a clarified word representative of the unclear word based on the context of the voice message and the identity of the media content; and generating, by the system, the text representing the voice message based on the speech recognition and the determining of the clarified word. | 0.797393 |
9,183,039 | 18 | 19 | 18. The system of claim 15 , wherein each of the tasks includes a task objective. | 18. The system of claim 15 , wherein each of the tasks includes a task objective. 19. The system of claim 18 , wherein a given task objective includes a task action and a task object. | 0.950635 |
8,751,957 | 1 | 9 | 1. A method for updating a user profile relating to a television programming recommender, the updating of the user profile being carried out in a system configured for generating recommendations regarding content of programs comprising: obtaining said user profile indicating television program viewing preferences of a user; using an audio/visual device to capture user initiated feedback generated by the user and provided in the form of gestural feedback in the form of video information, and/or auditory sounds in the form of audio information, while the user is watching specific television programs; analyzing at least one of the audio and video information generated by an audio/visual capture device which is focused on said user while said user is viewing or completing viewing of a plurality of specific television programs at different times, to identify whether the said information is predefined behavioral feedback indicating present television program preferences of said user and, if so identified, translating the predefined behavioral feedback into a representation indicating a strength of user's liking or disliking of the specific program being watched; and wherein the updating of said user television program profile is based on processing the representation and the audio and/or video information is in the form of auditory or gestural feedback from the user and said feedback is initiated by the said system or initiated by the user and wherein if the occurrence of a predefined event relating to the television program being watched is detected then the feedback which is received for that program is either of a user response to a query which is generated to the user, in which case the feedback received is explicit feedback from the user which is used to update the user profile, or the feedback received is user initiated feedback which is implicit feedback which is used to update the user profile and the auditory and gestural feedback identified during the watching of the said program and which has been captured by the said audio/visual device is analyzed to validate the user's like or dislike of the said television program said predefined behavioral feedback includes auditory and/or gestural feedback, said feedback mapped to a scale corresponding to respective strengths of said preferences of said user in rating said plurality of television programs viewed. | 1. A method for updating a user profile relating to a television programming recommender, the updating of the user profile being carried out in a system configured for generating recommendations regarding content of programs comprising: obtaining said user profile indicating television program viewing preferences of a user; using an audio/visual device to capture user initiated feedback generated by the user and provided in the form of gestural feedback in the form of video information, and/or auditory sounds in the form of audio information, while the user is watching specific television programs; analyzing at least one of the audio and video information generated by an audio/visual capture device which is focused on said user while said user is viewing or completing viewing of a plurality of specific television programs at different times, to identify whether the said information is predefined behavioral feedback indicating present television program preferences of said user and, if so identified, translating the predefined behavioral feedback into a representation indicating a strength of user's liking or disliking of the specific program being watched; and wherein the updating of said user television program profile is based on processing the representation and the audio and/or video information is in the form of auditory or gestural feedback from the user and said feedback is initiated by the said system or initiated by the user and wherein if the occurrence of a predefined event relating to the television program being watched is detected then the feedback which is received for that program is either of a user response to a query which is generated to the user, in which case the feedback received is explicit feedback from the user which is used to update the user profile, or the feedback received is user initiated feedback which is implicit feedback which is used to update the user profile and the auditory and gestural feedback identified during the watching of the said program and which has been captured by the said audio/visual device is analyzed to validate the user's like or dislike of the said television program said predefined behavioral feedback includes auditory and/or gestural feedback, said feedback mapped to a scale corresponding to respective strengths of said preferences of said user in rating said plurality of television programs viewed. 9. The method of claim 1 , including requesting feedback information directly from and confirmed by said user relative to the user's rating of said plurality of television programs relative to one another. | 0.662829 |
8,843,851 | 1 | 9 | 1. A method for providing online support to a user of a client application executing on a client computing device, comprising: initiating a client application wizard on the client computing device comprising a plurality of dialogs for completing a task; displaying a dialog of the plurality of dialogs to the user of the client application, wherein the client application is one selected from a group consisting of a tax preparation application, a payroll application, and a financial management application; determining by a user support module of the client application that a network connection is available on the client computing device; enabling by the user support module of the client application, after determining that the network connection is available on the client computing device, a help threshold associated with the dialog and comprising a help threshold percentage; calculating, by the user support module of the client application, a result based on a dollar amount in a first field of the client application wizard populated by the user; determining, by the user support module executing on a computer processor of the client computing device, and based on a comparison of the result and the help threshold percentage, that the help threshold is exceeded after enabling the help threshold, wherein exceeding the help threshold indicates that the user of the client application requires assistance in completing the task; sending via the network connection of the client computing device, in response to the help threshold being exceeded, an availability request to an external support server; receiving via the network connection of the client computing device, after sending the availability request, a confirmation of an available support specialist specializing in completing the task; displaying, in response to receiving the confirmation, an indication to the user of the client application that the support specialist is available over the network connection; receiving, in response to displaying the indication to the user of the client application, a support request from the user of the client application; opening a chat dialog over the network connection of the client computing device in response to receiving the support request from the user of the client application; and initiating, using the chat dialog, a chat session over the network connection of the client computing device between the user and the available support specialist. | 1. A method for providing online support to a user of a client application executing on a client computing device, comprising: initiating a client application wizard on the client computing device comprising a plurality of dialogs for completing a task; displaying a dialog of the plurality of dialogs to the user of the client application, wherein the client application is one selected from a group consisting of a tax preparation application, a payroll application, and a financial management application; determining by a user support module of the client application that a network connection is available on the client computing device; enabling by the user support module of the client application, after determining that the network connection is available on the client computing device, a help threshold associated with the dialog and comprising a help threshold percentage; calculating, by the user support module of the client application, a result based on a dollar amount in a first field of the client application wizard populated by the user; determining, by the user support module executing on a computer processor of the client computing device, and based on a comparison of the result and the help threshold percentage, that the help threshold is exceeded after enabling the help threshold, wherein exceeding the help threshold indicates that the user of the client application requires assistance in completing the task; sending via the network connection of the client computing device, in response to the help threshold being exceeded, an availability request to an external support server; receiving via the network connection of the client computing device, after sending the availability request, a confirmation of an available support specialist specializing in completing the task; displaying, in response to receiving the confirmation, an indication to the user of the client application that the support specialist is available over the network connection; receiving, in response to displaying the indication to the user of the client application, a support request from the user of the client application; opening a chat dialog over the network connection of the client computing device in response to receiving the support request from the user of the client application; and initiating, using the chat dialog, a chat session over the network connection of the client computing device between the user and the available support specialist. 9. The method of claim 1 , further comprising: receiving the help threshold from the external support server; and receiving, after initiating the chat session, an update to the help threshold. | 0.8507 |
8,725,563 | 1 | 8 | 1. A computer-implemented search system for locating and rating a plurality of electronic mentions of respective ones of a plurality of endorsers, comprising: a server computer having a tangible computer processor, the processor in data communication with a non-transitory computer memory that stores instructions which, when executed on the processor, cause the computer to implement: a web crawl engine that finds mentions of ones of the plurality of endorsers in proximity to respective ones of a plurality of keywords; a content reviewer that electronically presents to live reviewer the found mentions, wherein the live reviewer assigns a respective rating to respective ones of the found mentions; a scoring input for receiving a first rating of a particular one of the found mentions from the live reviewer; at least one electronic rating input for receiving second ratings of the same particular one of the found mentions; a correlator that normalizes the ratings of the particular one of the found mentions at least in part by comparing the first rating to the second ratings, and that correlates ones of the plurality of endorsers to a desired purchaser profile based at least in part on the normalized rating; and a management engine that manages the first and second ones of the ratings; wherein said management engine grants privileges to live reviewer. | 1. A computer-implemented search system for locating and rating a plurality of electronic mentions of respective ones of a plurality of endorsers, comprising: a server computer having a tangible computer processor, the processor in data communication with a non-transitory computer memory that stores instructions which, when executed on the processor, cause the computer to implement: a web crawl engine that finds mentions of ones of the plurality of endorsers in proximity to respective ones of a plurality of keywords; a content reviewer that electronically presents to live reviewer the found mentions, wherein the live reviewer assigns a respective rating to respective ones of the found mentions; a scoring input for receiving a first rating of a particular one of the found mentions from the live reviewer; at least one electronic rating input for receiving second ratings of the same particular one of the found mentions; a correlator that normalizes the ratings of the particular one of the found mentions at least in part by comparing the first rating to the second ratings, and that correlates ones of the plurality of endorsers to a desired purchaser profile based at least in part on the normalized rating; and a management engine that manages the first and second ones of the ratings; wherein said management engine grants privileges to live reviewer. 8. The search system of claim 1 , wherein the normalization comprises an assessment of regularity of the mentions of ones of the endorsers in proximity to ones of the plurality of keywords. | 0.612705 |
6,101,338 | 6 | 10 | 6. A camera comprising: (a) a camera body for providing a protective housing; (b) a display disposed on the camera body; (c) a microphone for receiving voice commands; and, (d) a microcontroller disposed in said camera body for causing said display to display, prior to receiving any voice commands, words or phrases representative of a set of voice commands pre-programmed in said microcontroller. | 6. A camera comprising: (a) a camera body for providing a protective housing; (b) a display disposed on the camera body; (c) a microphone for receiving voice commands; and, (d) a microcontroller disposed in said camera body for causing said display to display, prior to receiving any voice commands, words or phrases representative of a set of voice commands pre-programmed in said microcontroller. 10. The camera as in claim 6 wherein the set of words or phrases are continuously scrolling on said display. | 0.880531 |
5,555,403 | 5 | 6 | 5. The relational database access system of claim 4, further comprising: a plurality of tables, wherein each table includes one or more attributes, wherein the attributes include values associated with attributes; a predefined list of joins stored in the computer memory, wherein a join is a linkage between two tables in the relational database such that rows from the two tables are linked if specified attributes on each table contain matching values; a selection of familiar names, wherein each familiar name is associated with one or more tables in the relational database; a means for the user to select a plurality of familiar names from the selection of familiar names; a list of tables associated with the selected plurality of familiar names; a list of tables associated with each join in the list of joins; a means to identify the joins which contain all the tables in the list of tables associated with the selected plurality of familiar names; a means to allow the user to select a preferred join if more than one join contains all the tables in the list of tables associated with the selected plurality of familiar names; and a path, where the path is the list of tables associated with the selected join. | 5. The relational database access system of claim 4, further comprising: a plurality of tables, wherein each table includes one or more attributes, wherein the attributes include values associated with attributes; a predefined list of joins stored in the computer memory, wherein a join is a linkage between two tables in the relational database such that rows from the two tables are linked if specified attributes on each table contain matching values; a selection of familiar names, wherein each familiar name is associated with one or more tables in the relational database; a means for the user to select a plurality of familiar names from the selection of familiar names; a list of tables associated with the selected plurality of familiar names; a list of tables associated with each join in the list of joins; a means to identify the joins which contain all the tables in the list of tables associated with the selected plurality of familiar names; a means to allow the user to select a preferred join if more than one join contains all the tables in the list of tables associated with the selected plurality of familiar names; and a path, where the path is the list of tables associated with the selected join. 6. The system as in claim 5 wherein said query engine means includes means for generating joins representative of a path used to access data. | 0.967285 |
4,751,740 | 24 | 25 | 24. In the document structure of claim 21 and wherein: the control means further includes at least one descriptor containing information about the segment. | 24. In the document structure of claim 21 and wherein: the control means further includes at least one descriptor containing information about the segment. 25. In the document structure of claim 24 and wherein: all descriptors belonging to the control means immediately follow the means for specifying the point at which the control means applies and the type of the control means. | 0.949911 |
9,905,224 | 1 | 3 | 1. A computer-implemented method of automatically producing an improved transcription, the method comprising: obtaining, by a processor, an audio input, the audio input comprising a recording of audio signal; producing, by the processor, a first transcription of the audio input using a current language model; associating, by the processor, words included in the first transcription with probabilities each probability indicating for an associated word the likelihood that the word is a legitimate word; selecting, by the processor, a set of words from the first transcription having associated probabilities greater than a threshold; using, by the processor, the selected set of words to search, in at least one of: the internet and a database, for a set of additional textual objects that include at least one of the selected set of words, wherein the additional textual content objects are selected from the list consisting of: webpages, text posted in a social network, articles published on the internet and textual documents; using, by the processor, the additional textual objects to train a new language model; adapting, by the processor, the current language model based on the new language model to produce an improved adapted language model; and producing, by the processor, a second transcription of the audio input using the adapted language model. | 1. A computer-implemented method of automatically producing an improved transcription, the method comprising: obtaining, by a processor, an audio input, the audio input comprising a recording of audio signal; producing, by the processor, a first transcription of the audio input using a current language model; associating, by the processor, words included in the first transcription with probabilities each probability indicating for an associated word the likelihood that the word is a legitimate word; selecting, by the processor, a set of words from the first transcription having associated probabilities greater than a threshold; using, by the processor, the selected set of words to search, in at least one of: the internet and a database, for a set of additional textual objects that include at least one of the selected set of words, wherein the additional textual content objects are selected from the list consisting of: webpages, text posted in a social network, articles published on the internet and textual documents; using, by the processor, the additional textual objects to train a new language model; adapting, by the processor, the current language model based on the new language model to produce an improved adapted language model; and producing, by the processor, a second transcription of the audio input using the adapted language model. 3. The method of claim 1 , comprising performing unsupervised testing, wherein unsupervised testing includes validating that the adapted language model is better than the current language model without any intervention or effort by a human. | 0.61039 |
9,990,176 | 11 | 13 | 11. An electronic device, comprising: communications circuitry operable to communicate with at least a first device; memory; and at least one processor operable to: receive, from a first device, first audio data representing a first utterance; determine a user account associated with the first device; determine, based on first text data representing the first audio data, that a first intent of the first utterance is for first content to be output; determine that a first local version of the first content is stored on the first device; generate second text data representing a first response; generate second audio data representing the second text data; generate a first instruction for the first local version to be output by the first device; send, using the communications circuitry, the first instruction and the second audio data to the first device such that the first local version is output after the second audio data; receive, from the first device, second audio data representing a second utterance; generate second text data from the second audio data by applying speech-to-text processing to the second audio data; determine, based on the second text data, that a second intent of the second utterance is for second content to be output by the first device; determine, from content information associated with at least the first device, that the first device does not include a second local version of the second content; determine that there are no additional devices associated with the user account that are capable to send content to the first device using a short-range communications protocol; generate a link between the first device and a remote device storing a third local version of the second content; and send, using the communications circuitry, the link to the remote device such that the second content is output to the first device. | 11. An electronic device, comprising: communications circuitry operable to communicate with at least a first device; memory; and at least one processor operable to: receive, from a first device, first audio data representing a first utterance; determine a user account associated with the first device; determine, based on first text data representing the first audio data, that a first intent of the first utterance is for first content to be output; determine that a first local version of the first content is stored on the first device; generate second text data representing a first response; generate second audio data representing the second text data; generate a first instruction for the first local version to be output by the first device; send, using the communications circuitry, the first instruction and the second audio data to the first device such that the first local version is output after the second audio data; receive, from the first device, second audio data representing a second utterance; generate second text data from the second audio data by applying speech-to-text processing to the second audio data; determine, based on the second text data, that a second intent of the second utterance is for second content to be output by the first device; determine, from content information associated with at least the first device, that the first device does not include a second local version of the second content; determine that there are no additional devices associated with the user account that are capable to send content to the first device using a short-range communications protocol; generate a link between the first device and a remote device storing a third local version of the second content; and send, using the communications circuitry, the link to the remote device such that the second content is output to the first device. 13. The electronic device of claim 11 , wherein the at least one processor is further operable to: receive, from the first device, third audio data representing a third utterance; determine, based on third text data representing the third audio data, that a third intent of the third utterance is for third content to be output; determine that a second device is also associated with the user account; determine, based on the content information, that a third local version of the third content is stored on the second device; and determine, based on a first separation distance between the first device and the second device being less than a separation distance threshold, that the second device and the first device are capable of communicating using at least one short-range communications protocol. | 0.809445 |
9,891,808 | 1 | 4 | 1. A computing system configured to access data stored in one or more databases in substantially real-time in response to input from a user in order to determine information related to measured data points and provide the determined information to the user in an interactive user interface, the computing system comprising: a computer processor; and a database storing parameter values associated with a first parameter for a plurality of physical structures; a computer readable storage medium storing program instructions configured for execution by the computer processor in order to cause the computing system to: generate user interface data for rendering the interactive user interface on a computing device, the interactive user interface including a first container and a second container, wherein the first container comprises a geographic map depicting respective locations of the plurality of physical structures; receive, from the user, a selection of the first parameter and a first parameter value; determine one or more physical structures in the plurality of physical structures associated with a first parameter having a value greater than the first parameter value provided by the user; update the user interface data such that the geographic map depicts respective locations of the determined one or more physical structures; update the user interface data such that the second container comprises a histogram identifying a number of the determined one or more physical structures associated with a first parameter having a value greater than the first parameter value; receive a selection of a first icon in the geographic map representing a location of a first physical structure of the one or more physical structures; receive a selection of a second icon in the geographic map representing a location of a second physical structure of the one or more physical structures, after receiving the selection of the first icon; and update the user interface data such that the interactive user interface displays a first depth graph associated with the first physical structure and a second depth graph associated with the second physical structure. | 1. A computing system configured to access data stored in one or more databases in substantially real-time in response to input from a user in order to determine information related to measured data points and provide the determined information to the user in an interactive user interface, the computing system comprising: a computer processor; and a database storing parameter values associated with a first parameter for a plurality of physical structures; a computer readable storage medium storing program instructions configured for execution by the computer processor in order to cause the computing system to: generate user interface data for rendering the interactive user interface on a computing device, the interactive user interface including a first container and a second container, wherein the first container comprises a geographic map depicting respective locations of the plurality of physical structures; receive, from the user, a selection of the first parameter and a first parameter value; determine one or more physical structures in the plurality of physical structures associated with a first parameter having a value greater than the first parameter value provided by the user; update the user interface data such that the geographic map depicts respective locations of the determined one or more physical structures; update the user interface data such that the second container comprises a histogram identifying a number of the determined one or more physical structures associated with a first parameter having a value greater than the first parameter value; receive a selection of a first icon in the geographic map representing a location of a first physical structure of the one or more physical structures; receive a selection of a second icon in the geographic map representing a location of a second physical structure of the one or more physical structures, after receiving the selection of the first icon; and update the user interface data such that the interactive user interface displays a first depth graph associated with the first physical structure and a second depth graph associated with the second physical structure. 4. The computing system of claim 1 , wherein the first depth graph comprises a geological layer at a first depth level and the second depth graph comprises a geological layer at a second depth level that is different than the first depth level such that the geological layer in the first depth graph and the geological layer in the second depth graph are depicted in a different horizontal plane in the interactive user interface. | 0.50116 |
7,711,649 | 12 | 17 | 12. A method for use with a group of patents retrieved from a data warehouse, the group of retrieved patents related to a given seed patent from an originating industry, the method comprising: extracting a set of similar patents from said group of retrieved patents, each of said similar patents associated with said given seed patent using a statistical method; classifying said given seed patent and said set of similar patents by at least one of assignees and industries; generating an industry taxonomy for said given seed patent and said set of similar patents using at least one of a structured feature and an unstructured feature; mapping assignees of said similar patents to related industries using said industry taxonomy; computing the overall similarity between said originating industry and said related industries; and computing patent similarity between said seed patent and patents assigned to said related industries. | 12. A method for use with a group of patents retrieved from a data warehouse, the group of retrieved patents related to a given seed patent from an originating industry, the method comprising: extracting a set of similar patents from said group of retrieved patents, each of said similar patents associated with said given seed patent using a statistical method; classifying said given seed patent and said set of similar patents by at least one of assignees and industries; generating an industry taxonomy for said given seed patent and said set of similar patents using at least one of a structured feature and an unstructured feature; mapping assignees of said similar patents to related industries using said industry taxonomy; computing the overall similarity between said originating industry and said related industries; and computing patent similarity between said seed patent and patents assigned to said related industries. 17. The method of claim 12 wherein said feature space comprises one or more of a structured feature, an unstructured feature, and an annotation. | 0.848101 |
7,565,604 | 13 | 14 | 13. A device with a display for displaying information, which information is stored as a document with interpreting instructions for displaying the information, comprising: means for interpreting the interpreting instructions and for converting the information, on the basis of the interpretation, to information to be displayed on the display; means for examining if the document can be displayed without optimization on the display of the wireless communication device; means for optimizing the document, if, on the basis of the examination, it has been detected that the displaying of the document requires optimization; and means for downsizing an image a first limit value for a length of a first side of an image, a second limit value for a length of a second side of the image, and the maximum length of information fitting on the display in the width direction, wherein the means for examining comprises means for comparing the quantity of information of the document to be displayed, in the width direction, with said maximum length, for comparing the size of the image to said first limit value, and for comparing the width and height of the image to the second limit value and means for transferring the result of the comparison to the means for optimizing the document, and wherein the means for optimizing the document are configured to perform the optimization, if it is detected that the width of the information to be displayed exceeds said maximum length, and when the information causing the optimization is the image, the means for optimizing are for performing the optimization by omitting displaying of the image if the length of the first side of the image is smaller than or equal to said first limit value, or when the width of the image is smaller than or equal to the second limit value and the height is greater than or equal to the second limit value, and otherwise the means for downsizing are for downsizing the image by maintaining the aspect ratio. | 13. A device with a display for displaying information, which information is stored as a document with interpreting instructions for displaying the information, comprising: means for interpreting the interpreting instructions and for converting the information, on the basis of the interpretation, to information to be displayed on the display; means for examining if the document can be displayed without optimization on the display of the wireless communication device; means for optimizing the document, if, on the basis of the examination, it has been detected that the displaying of the document requires optimization; and means for downsizing an image a first limit value for a length of a first side of an image, a second limit value for a length of a second side of the image, and the maximum length of information fitting on the display in the width direction, wherein the means for examining comprises means for comparing the quantity of information of the document to be displayed, in the width direction, with said maximum length, for comparing the size of the image to said first limit value, and for comparing the width and height of the image to the second limit value and means for transferring the result of the comparison to the means for optimizing the document, and wherein the means for optimizing the document are configured to perform the optimization, if it is detected that the width of the information to be displayed exceeds said maximum length, and when the information causing the optimization is the image, the means for optimizing are for performing the optimization by omitting displaying of the image if the length of the first side of the image is smaller than or equal to said first limit value, or when the width of the image is smaller than or equal to the second limit value and the height is greater than or equal to the second limit value, and otherwise the means for downsizing are for downsizing the image by maintaining the aspect ratio. 14. The device according to claim 13 , wherein the means for optimizing are for displaying a link reference comprising an image for display as a symbol for the link reference. | 0.614537 |
10,013,672 | 1 | 2 | 1. A method, comprising: receiving a communication from a sender comprising a plurality of words, wherein at least one of the words is a zip code comprising five numerical digits; assigning, via a computing apparatus, a score to each of the words, wherein the score assigned to each of the words is based on a ratio of a first frequency of usage of the respective word in a language relative to a second frequency of usage of the respective word in the language, and wherein a first set of words comprises a first total number of words used as an address, a second set of words comprises a second total number of words including words used other than as an address, the first frequency is determined by counting occurrence of the respective word in the first set of words relative to the first total, the second frequency is determined by counting occurrence of the respective word in the second set relative to the second total, and the first total is less than the second total, and wherein the assigning the score further comprises determining a score for a numerical digit sequence based on treating any numerical digit sequence of a given digit length as being the same word; determining, via the computing apparatus, a respective total sum for each of a plurality of word sequences in the communication, the respective total sum determined as a sum of the scores for each word in the respective word sequence; identifying a first word sequence of the word sequences having a total sum that is greater than a threshold value; applying a at least one filter to the first word sequence, the at least one filter comprising determining a ratio of number tokens to character tokens in the first word sequence, and comparing the ratio to a predetermined value to determine whether the first word sequence passes the at least one filter, and the at least one filter further comprising determining whether the first word sequence includes a token that scores below a predetermined threshold, wherein determining that the first word sequence includes a token that scores below the predetermined threshold disqualifies the first word sequence from being identified as an address; in response to determining that the first word sequence passes the at least one filter, extracting the first word sequence from the plurality of words of the received communication as a first address of the sender, wherein the first word sequence contains the zip code; and storing, in a data repository, the first address in a first person profile of the sender, wherein the data repository stores a plurality of person profiles including the first person profile. | 1. A method, comprising: receiving a communication from a sender comprising a plurality of words, wherein at least one of the words is a zip code comprising five numerical digits; assigning, via a computing apparatus, a score to each of the words, wherein the score assigned to each of the words is based on a ratio of a first frequency of usage of the respective word in a language relative to a second frequency of usage of the respective word in the language, and wherein a first set of words comprises a first total number of words used as an address, a second set of words comprises a second total number of words including words used other than as an address, the first frequency is determined by counting occurrence of the respective word in the first set of words relative to the first total, the second frequency is determined by counting occurrence of the respective word in the second set relative to the second total, and the first total is less than the second total, and wherein the assigning the score further comprises determining a score for a numerical digit sequence based on treating any numerical digit sequence of a given digit length as being the same word; determining, via the computing apparatus, a respective total sum for each of a plurality of word sequences in the communication, the respective total sum determined as a sum of the scores for each word in the respective word sequence; identifying a first word sequence of the word sequences having a total sum that is greater than a threshold value; applying a at least one filter to the first word sequence, the at least one filter comprising determining a ratio of number tokens to character tokens in the first word sequence, and comparing the ratio to a predetermined value to determine whether the first word sequence passes the at least one filter, and the at least one filter further comprising determining whether the first word sequence includes a token that scores below a predetermined threshold, wherein determining that the first word sequence includes a token that scores below the predetermined threshold disqualifies the first word sequence from being identified as an address; in response to determining that the first word sequence passes the at least one filter, extracting the first word sequence from the plurality of words of the received communication as a first address of the sender, wherein the first word sequence contains the zip code; and storing, in a data repository, the first address in a first person profile of the sender, wherein the data repository stores a plurality of person profiles including the first person profile. 2. The method of claim 1 , wherein the assigning the score further comprises forming a plurality of tokens from the communication, each token corresponding to one of the words, and assigning a score to each of the tokens. | 0.861006 |
7,685,197 | 1 | 12 | 1. A computer-implemented method for estimating an interest a reader has in a requested document, useful in association with a list of textual terms with advertising value, the method comprising: building a trained model comprising using linear regression to identify a scoring function based on textual terms and associated documents, wherein the scoring function is of the form:
o ( k,p )=α+Σβ i log f i ( k )+Σγ i log g i ( k,p ) wherein β i and γ i are comparative relevance attributes and α is a relevancy factor; wherein k is a term factor and p is a web document identifier, eliminating extraneous material from the requested document; comparing a plurality of textual terms of the requested document to the list of textual terms with the advertising value, wherein the advertising value is based upon a bid value associated with one or more textual terms of the list of textual terms by one or more advertisers and the textual terms also including non-contextual features; computing a significance level based on the trained model for each of the plurality of textual terms of the requested document found on the list of textual terms with advertising value according to the advertising value of each of the plurality of terms of the requested document and computing the significant level based on the non-contextual feature of the positions of the textual terms in the requested document; ranking each of the plurality of textual terms of the requested document found on the list of textual terms with advertising value according to the significance level of each of the plurality of textual terms of the requested document that are found on the list of textual terms with advertising value; selecting one or more of the plurality of ranked textual terms as keywords to search for one or more relevant advertisements; and displaying the one or more relevant advertisements along with the requested document. | 1. A computer-implemented method for estimating an interest a reader has in a requested document, useful in association with a list of textual terms with advertising value, the method comprising: building a trained model comprising using linear regression to identify a scoring function based on textual terms and associated documents, wherein the scoring function is of the form:
o ( k,p )=α+Σβ i log f i ( k )+Σγ i log g i ( k,p ) wherein β i and γ i are comparative relevance attributes and α is a relevancy factor; wherein k is a term factor and p is a web document identifier, eliminating extraneous material from the requested document; comparing a plurality of textual terms of the requested document to the list of textual terms with the advertising value, wherein the advertising value is based upon a bid value associated with one or more textual terms of the list of textual terms by one or more advertisers and the textual terms also including non-contextual features; computing a significance level based on the trained model for each of the plurality of textual terms of the requested document found on the list of textual terms with advertising value according to the advertising value of each of the plurality of terms of the requested document and computing the significant level based on the non-contextual feature of the positions of the textual terms in the requested document; ranking each of the plurality of textual terms of the requested document found on the list of textual terms with advertising value according to the significance level of each of the plurality of textual terms of the requested document that are found on the list of textual terms with advertising value; selecting one or more of the plurality of ranked textual terms as keywords to search for one or more relevant advertisements; and displaying the one or more relevant advertisements along with the requested document. 12. The method of claim 1 wherein ranking of each of the plurality of textual terms of the requested document found on the list of trained textual terms according to the significance level of each of the plurality of textual terms of the requested document found on the list of textual terms includes ranking by advertising value. | 0.501511 |
9,275,001 | 1 | 2 | 1. A computer-implemented method for generating a personal content stream of videos for a user, the method comprising: accessing a profile of the user, the profile having a plurality of topics describing interests of the user; selecting a first set of stream topics for a first personal content stream and a second set of stream topics for a second personal content stream based upon the plurality of topics in the profile, each of the stream topics associated with a stream topic strength (STS), the STS for each of the stream topics representing a degree of association between the user and the stream topic for a given personal content stream, wherein a stream topic included in both the first set of stream topics and the second set of stream topics is associated with a first STS for the first personal content stream and a second STS for the second personal content stream; selecting a plurality of videos for inclusion in the first personal content stream and the second personal content stream for the user, each selected video for the first personal content stream associated with one of the stream topics included in the first set of stream topics and selected for inclusion in the first personal content stream based on the STS for the stream topic associated with the selected video, and each selected video for the second personal content stream associated with one of the stream topics included in the second set of stream topics and selected for inclusion in the second personal content stream based on the STS for the steam topic associated with the selected video; and providing the first personal content stream and the second personal content stream to the user. | 1. A computer-implemented method for generating a personal content stream of videos for a user, the method comprising: accessing a profile of the user, the profile having a plurality of topics describing interests of the user; selecting a first set of stream topics for a first personal content stream and a second set of stream topics for a second personal content stream based upon the plurality of topics in the profile, each of the stream topics associated with a stream topic strength (STS), the STS for each of the stream topics representing a degree of association between the user and the stream topic for a given personal content stream, wherein a stream topic included in both the first set of stream topics and the second set of stream topics is associated with a first STS for the first personal content stream and a second STS for the second personal content stream; selecting a plurality of videos for inclusion in the first personal content stream and the second personal content stream for the user, each selected video for the first personal content stream associated with one of the stream topics included in the first set of stream topics and selected for inclusion in the first personal content stream based on the STS for the stream topic associated with the selected video, and each selected video for the second personal content stream associated with one of the stream topics included in the second set of stream topics and selected for inclusion in the second personal content stream based on the STS for the steam topic associated with the selected video; and providing the first personal content stream and the second personal content stream to the user. 2. The computer-implemented method of claim 1 , further comprising: receiving feedback indicating an interaction of the user with a video from at least one of the first personal content stream and second personal content stream provided to the user. | 0.667112 |
8,856,162 | 10 | 16 | 10. A system, comprising: a processor; and a computer storage medium coupled to the processor and including instructions, which, when executed by the processor, causes the processor to perform operations comprising: receiving a first image search query and first image search results that are responsive to the first image search query, the first image search query being one or more terms in a first language; obtaining translations of the first image search query, wherein each translation is a translation of the first image search query into a respective second language different from the first language, and wherein obtaining the translations of the first image search query comprises: recieving a plurality of candidate translations of the first image search query, determining a score for each candidate translation, and selecting the translations form the candidate translations according to the scores; receiving for each translation of the first image search query, respective image search results that are determined to be responsive to the translation of the first image search query when the translation is used as an image search query; providing first instructions to a client device that, when executed by the client device, cause the client device to present a user interface including: one or more of the first image search results responsive to the first image search query; and a respective cross-language search option for each of the translations of the first image search query, the respective cross-language search option for each translation including the translation and a preview of the respective image search results responsive to the translation, wherein each cross-language search result is selectable in the user interface. | 10. A system, comprising: a processor; and a computer storage medium coupled to the processor and including instructions, which, when executed by the processor, causes the processor to perform operations comprising: receiving a first image search query and first image search results that are responsive to the first image search query, the first image search query being one or more terms in a first language; obtaining translations of the first image search query, wherein each translation is a translation of the first image search query into a respective second language different from the first language, and wherein obtaining the translations of the first image search query comprises: recieving a plurality of candidate translations of the first image search query, determining a score for each candidate translation, and selecting the translations form the candidate translations according to the scores; receiving for each translation of the first image search query, respective image search results that are determined to be responsive to the translation of the first image search query when the translation is used as an image search query; providing first instructions to a client device that, when executed by the client device, cause the client device to present a user interface including: one or more of the first image search results responsive to the first image search query; and a respective cross-language search option for each of the translations of the first image search query, the respective cross-language search option for each translation including the translation and a preview of the respective image search results responsive to the translation, wherein each cross-language search result is selectable in the user interface. 16. The system of claim 10 , wherein determining a score for a candidate translation comprises determining the score for the candidate translation from a click through rate for the candidate translation when the candidate translation is submitted as a search query, wherein the click through rate measures how often users select search results responsive to the candidate translation. | 0.587983 |
8,620,658 | 26 | 34 | 26. An information processing apparatus performing voice chat with other information processing apparatus, the apparatus comprising: a parameter extraction unit that extracts a parameter from voice data generated from a dialog of the conversation during the voice chat, the parameter characterizing the voice data; a keyword extraction unit that recognizes the generated voice data and extracts keywords from the voice data based on the parameter and a keyword extraction database; an information search unit that searches for the extracted keywords using a search engine and acquires a search result for the keywords and articles related to the keywords, the information search unit acquiring from the search engine a search keyword list containing search keywords searched by the search engine and rank information associated with the search keyword list; and a search information accumulation unit that accumulates the keywords and the articles in a correlated manner with address information of the search result for the keywords and address information of the articles, respectively, wherein the search engine represents a website that provides a keyword search service and a directory search service so that a user uses the search engine to search for information available through Internet. | 26. An information processing apparatus performing voice chat with other information processing apparatus, the apparatus comprising: a parameter extraction unit that extracts a parameter from voice data generated from a dialog of the conversation during the voice chat, the parameter characterizing the voice data; a keyword extraction unit that recognizes the generated voice data and extracts keywords from the voice data based on the parameter and a keyword extraction database; an information search unit that searches for the extracted keywords using a search engine and acquires a search result for the keywords and articles related to the keywords, the information search unit acquiring from the search engine a search keyword list containing search keywords searched by the search engine and rank information associated with the search keyword list; and a search information accumulation unit that accumulates the keywords and the articles in a correlated manner with address information of the search result for the keywords and address information of the articles, respectively, wherein the search engine represents a website that provides a keyword search service and a directory search service so that a user uses the search engine to search for information available through Internet. 34. The information processing apparatus according to claim 26 , wherein the keyword extraction unit extracts a higher-rank search keyword of the search engine on a preferential basis. | 0.8107 |
9,058,382 | 9 | 15 | 9. A computer-readable storage device containing instructions for controlling a computing device to generate a word feature vector from a hierarchy of web pages of a web site, the hierarchy specifying parent/child relations between web pages as defined by uniform resource locators for web pages of the web site, by a method comprising: generating a word feature vector for web pages of the web site; and combining the generated word feature vectors of the web pages of the web site into an aggregate word feature vector to represent the web site, by, for each web page, combining the generated word feature vector for that web page with the generated word feature vectors for descendent web pages of that web page to generate an aggregate word feature vector for that web page, the descendent web pages of that web page defined by the uniform resource locators of that web page and the descendent web pages, wherein the contribution of the word feature vector of a descendent web page decreases based on increased distance along the parent/child relations from that web page; providing a training set having, for each of a plurality of web sites, a classification for that web site and a word feature vector derived from a root web page of that web site; after combining the generated word feature vectors, adding the aggregate word feature vector for the root web page to the training set to represent a word feature vector for the web site; and training a classifier using the training set with the added aggregate word feature vector. | 9. A computer-readable storage device containing instructions for controlling a computing device to generate a word feature vector from a hierarchy of web pages of a web site, the hierarchy specifying parent/child relations between web pages as defined by uniform resource locators for web pages of the web site, by a method comprising: generating a word feature vector for web pages of the web site; and combining the generated word feature vectors of the web pages of the web site into an aggregate word feature vector to represent the web site, by, for each web page, combining the generated word feature vector for that web page with the generated word feature vectors for descendent web pages of that web page to generate an aggregate word feature vector for that web page, the descendent web pages of that web page defined by the uniform resource locators of that web page and the descendent web pages, wherein the contribution of the word feature vector of a descendent web page decreases based on increased distance along the parent/child relations from that web page; providing a training set having, for each of a plurality of web sites, a classification for that web site and a word feature vector derived from a root web page of that web site; after combining the generated word feature vectors, adding the aggregate word feature vector for the root web page to the training set to represent a word feature vector for the web site; and training a classifier using the training set with the added aggregate word feature vector. 15. The computer-readable storage device of claim 9 wherein a first web page is a parent of a second web page when the first web page contains a uniform resource locator for the second page. | 0.770531 |
8,321,398 | 1 | 7 | 1. A computer implemented method comprising: receiving a list comprising an entity, the entity having been identified as being associated with an electronic document; based solely upon a set of characteristics of the document, determining a relevancy score associated with the entity with respect to the document, wherein the set of characteristics includes at least one characteristic from the group consisting of: a first number representing a number of sentences occurring in the document prior to a first sentence in which the entity is named; a second number representing a number of sentences between first and last occurrences of the entity within the document; and a third number representing a uniformity with which the entity occurs within the document; and storing the relevancy score. | 1. A computer implemented method comprising: receiving a list comprising an entity, the entity having been identified as being associated with an electronic document; based solely upon a set of characteristics of the document, determining a relevancy score associated with the entity with respect to the document, wherein the set of characteristics includes at least one characteristic from the group consisting of: a first number representing a number of sentences occurring in the document prior to a first sentence in which the entity is named; a second number representing a number of sentences between first and last occurrences of the entity within the document; and a third number representing a uniformity with which the entity occurs within the document; and storing the relevancy score. 7. The method of claim 1 , wherein the document is unstructured. | 0.953556 |
10,069,770 | 8 | 14 | 8. An apparatus, comprising: a processor configured to: pre-process a message at a message at a processing server to determine a particular contextual classification associated with at least one word included in the message, assign the message to a predefined message bucket comprising a plurality of automated responses and select at least one of a plurality of different predefined message buckets, wherein one of the predefined message buckets has a higher relevancy rating than the other plurality of different predefined message buckets based on a relevancy rating of the particular contextual classification associated with the at least one word included in the message, and process the message to determine whether to generate the automated response and transmit the automated response to an end user device; wherein prior to an assignment of the message to the predefined message bucket, at least one term in the message is replaced with a known alias term linked to the predefined message bucket. | 8. An apparatus, comprising: a processor configured to: pre-process a message at a message at a processing server to determine a particular contextual classification associated with at least one word included in the message, assign the message to a predefined message bucket comprising a plurality of automated responses and select at least one of a plurality of different predefined message buckets, wherein one of the predefined message buckets has a higher relevancy rating than the other plurality of different predefined message buckets based on a relevancy rating of the particular contextual classification associated with the at least one word included in the message, and process the message to determine whether to generate the automated response and transmit the automated response to an end user device; wherein prior to an assignment of the message to the predefined message bucket, at least one term in the message is replaced with a known alias term linked to the predefined message bucket. 14. The apparatus of claim 8 , wherein the processor is configured to process the message to determine whether to generate the automated response and transmit the automated response to the end user device based on a confidence score. | 0.688503 |
9,405,797 | 25 | 34 | 25. A system for improving a query in a database, the system comprising: a processor; a network interface; and a computer-readable medium tangibly embodied with instructions capable of configuring the processor to: receive, with a server computing device, an original query transmitted by a remote computing device, wherein the original query is associated with data within a database, wherein data in the database has different characteristics for specific columns and at least one of the columns comprises information for tenant-specific filtering, and wherein the database includes at least a first index and a second index, wherein the first index is a standard index and wherein the second index is a custom index; retrieve, using a processor of the server, tenant-level metadata associated with the data, wherein at least a portion of the data is stored in a common table within the database system; scan a first index column to identify a first set of rows, wherein the first index column is selected based on the original query; scan a second index column to identify a second set of rows, wherein the second index column is based on the original query; analyze metadata generated from tenant-level metadata generated from the data accessible by the group to determine a query syntax; and generate an improved query using the query syntax, wherein the improved query is based at least in part upon the original query and a result of a join between a first number of rows associated with the first index and a second number of rows associated with the second index. | 25. A system for improving a query in a database, the system comprising: a processor; a network interface; and a computer-readable medium tangibly embodied with instructions capable of configuring the processor to: receive, with a server computing device, an original query transmitted by a remote computing device, wherein the original query is associated with data within a database, wherein data in the database has different characteristics for specific columns and at least one of the columns comprises information for tenant-specific filtering, and wherein the database includes at least a first index and a second index, wherein the first index is a standard index and wherein the second index is a custom index; retrieve, using a processor of the server, tenant-level metadata associated with the data, wherein at least a portion of the data is stored in a common table within the database system; scan a first index column to identify a first set of rows, wherein the first index column is selected based on the original query; scan a second index column to identify a second set of rows, wherein the second index column is based on the original query; analyze metadata generated from tenant-level metadata generated from the data accessible by the group to determine a query syntax; and generate an improved query using the query syntax, wherein the improved query is based at least in part upon the original query and a result of a join between a first number of rows associated with the first index and a second number of rows associated with the second index. 34. The system of claim 25 , wherein the first index is a standard index and wherein the second index is a custom index. | 0.897084 |
7,949,944 | 9 | 14 | 9. A computer-implemented method for delivering a customized electronic mail message to a client, the method comprising: identifying, by a client web server, a fixed portion and a variable portion of a customizable electronic mail message; isolating, by the client web server, the variable portion of the customizable electronic mail message, said isolating further comprising generating, by the client web server, a plurality of templates of the variable portion of the customizable electronic mail message; storing the plurality of templates of the variable portion of the customizable electronic mail message in distinct subdirectories within a directory hierarchy, said directory hierarchy categorized by codepage, message language, and country; receiving, from the recipient, a request for delivering the customized electronic mail message, said request including a message type indicator and a message language indicator, wherein the received request further comprises a recipient electronic mail address and custom data in a first format; selecting one of the stored message templates as a function of the message type indicator and the message language indicator of the received request; converting the custom data to a second format different from the first format, wherein the first format is not compatible with the selected message template and the second format is compatible with the selected message template; combining the selected message template with the converted custom data to create a plurality of message components; receiving, at a notification server, the message components from the client web server; generating, by the notification server, the customized electronic mail message as a function of the message components; receiving, at an outbound server, the generated customized electronic mail message from the notification server; and transmitting, by outbound server, the generated customized electronic mail message to the client. | 9. A computer-implemented method for delivering a customized electronic mail message to a client, the method comprising: identifying, by a client web server, a fixed portion and a variable portion of a customizable electronic mail message; isolating, by the client web server, the variable portion of the customizable electronic mail message, said isolating further comprising generating, by the client web server, a plurality of templates of the variable portion of the customizable electronic mail message; storing the plurality of templates of the variable portion of the customizable electronic mail message in distinct subdirectories within a directory hierarchy, said directory hierarchy categorized by codepage, message language, and country; receiving, from the recipient, a request for delivering the customized electronic mail message, said request including a message type indicator and a message language indicator, wherein the received request further comprises a recipient electronic mail address and custom data in a first format; selecting one of the stored message templates as a function of the message type indicator and the message language indicator of the received request; converting the custom data to a second format different from the first format, wherein the first format is not compatible with the selected message template and the second format is compatible with the selected message template; combining the selected message template with the converted custom data to create a plurality of message components; receiving, at a notification server, the message components from the client web server; generating, by the notification server, the customized electronic mail message as a function of the message components; receiving, at an outbound server, the generated customized electronic mail message from the notification server; and transmitting, by outbound server, the generated customized electronic mail message to the client. 14. The method of claim 9 , wherein the plurality of message components are encoded using a Multipurpose Internet Mail Extensions (MIME) encoding technique. | 0.755486 |
8,626,693 | 1 | 5 | 1. A method of determining node similarity for component substitution, the method carried out by program code stored on non-transient computer-readable medium and executed by a processor, the method comprising: determining similarity metric values between nodes of a target system tree associated with a target system and nodes in other system trees respectively associated with other systems, wherein each system comprises components and nodes of each system tree represent respective ones of the components of the associated system, wherein the determining comprises comparing nodes of the target system tree with respective nodes of the other system trees by applying at least one of domain based rules and attribute based similarity metrics to attributes of the system components represented by the nodes being compared, and assigning a similarity score to each node of the other system trees compared to a respective one of the nodes of the target system tree based on results of the comparing; and for at least one of the nodes of the target system, identifying replacement ones of the nodes of the other system trees based on their respective assigned similarity scores. | 1. A method of determining node similarity for component substitution, the method carried out by program code stored on non-transient computer-readable medium and executed by a processor, the method comprising: determining similarity metric values between nodes of a target system tree associated with a target system and nodes in other system trees respectively associated with other systems, wherein each system comprises components and nodes of each system tree represent respective ones of the components of the associated system, wherein the determining comprises comparing nodes of the target system tree with respective nodes of the other system trees by applying at least one of domain based rules and attribute based similarity metrics to attributes of the system components represented by the nodes being compared, and assigning a similarity score to each node of the other system trees compared to a respective one of the nodes of the target system tree based on results of the comparing; and for at least one of the nodes of the target system, identifying replacement ones of the nodes of the other system trees based on their respective assigned similarity scores. 5. The method of claim 1 , wherein attribute based similarity metrics are based on multivariate attributes for each node. | 0.751029 |
8,775,409 | 28 | 37 | 28. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a request to identify trending search queries in a search system; grouping a plurality of search queries into a plurality of clusters of search queries; associating each cluster of search queries with a respective representative category; determining, by one or more computers and for each cluster of search queries, a cluster score based on a cluster performance score or a category popularity score, wherein the category popularity score of a particular category is a score whose value correlates with the number of clusters associated with the particular category, and wherein the cluster performance score of a particular cluster is a score whose value correlates with a respective rank of one or more pages that are identified for one or more of search queries that are grouped into the particular cluster; generating a ranking of the clusters of search queries based on the cluster scores; and presenting, as a representation of the trending search queries in the search system, information identifying a subset of the clusters of search queries as ranked according to the ranking. | 28. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a request to identify trending search queries in a search system; grouping a plurality of search queries into a plurality of clusters of search queries; associating each cluster of search queries with a respective representative category; determining, by one or more computers and for each cluster of search queries, a cluster score based on a cluster performance score or a category popularity score, wherein the category popularity score of a particular category is a score whose value correlates with the number of clusters associated with the particular category, and wherein the cluster performance score of a particular cluster is a score whose value correlates with a respective rank of one or more pages that are identified for one or more of search queries that are grouped into the particular cluster; generating a ranking of the clusters of search queries based on the cluster scores; and presenting, as a representation of the trending search queries in the search system, information identifying a subset of the clusters of search queries as ranked according to the ranking. 37. The system of claim 28 , wherein presenting information identifying a subset of the clusters of search queries further comprises: presenting information identifying the subset of the clusters of search queries in order according to the ranks of their respective clusters, wherein the subset of the clusters of search queries are associated with a common representative category. | 0.573661 |
9,679,056 | 1 | 6 | 1. A method, comprising: at a computing system having one or more processors and memory storing one or more programs executed by the one or more processors: setting a respective reuse flag for a corresponding document in a plurality of documents, wherein the respective reuse flag is based on a document importance score associated with the corresponding document, wherein the document importance score associated with a document is based, at least in part, on a query-independent metric of an importance of the document for a search engine; and performing a document crawling operation on the plurality of documents in accordance with the reuse flag for respective documents in the plurality of documents, including reusing a previously downloaded version of a respective document in the plurality of documents instead of downloading a current version of the respective document from a host computer in accordance with a determination that the reuse flag associated with the respective document meets a predefined criterion. | 1. A method, comprising: at a computing system having one or more processors and memory storing one or more programs executed by the one or more processors: setting a respective reuse flag for a corresponding document in a plurality of documents, wherein the respective reuse flag is based on a document importance score associated with the corresponding document, wherein the document importance score associated with a document is based, at least in part, on a query-independent metric of an importance of the document for a search engine; and performing a document crawling operation on the plurality of documents in accordance with the reuse flag for respective documents in the plurality of documents, including reusing a previously downloaded version of a respective document in the plurality of documents instead of downloading a current version of the respective document from a host computer in accordance with a determination that the reuse flag associated with the respective document meets a predefined criterion. 6. The method of claim 1 , further comprising: retrieving, from a first database, at least a subset of contents of a first document in the plurality of documents, the first document corresponding to a document identifier in a first scheduler record, the first scheduler record including a reuse flag for the first document set to a first state; and retrieving, from a second database, at least a subset of contents of a second document in the plurality of documents, the second document corresponding to a document identifier in a second scheduler record, the second scheduler record including a reuse flag for the second document set to a second state; wherein the first and second databases are not the same and wherein the second database stores content from previously crawled documents, including the second document. | 0.63369 |
7,970,648 | 1 | 40 | 1. A method for creating advertising content and providing said advertising content in a communication network, comprising: storing user specific information of a plurality of consumer subscribers that are subscribed to a location-based services system as patrons and a plurality of business subscribers that are subscribed to said location-based services system as advertising customers of said location-based services system; said location-based services system transmitting an advertising campaign parameter entry form over a publically accessible unsecure network for receipt by a business remote terminal of one of said business subscribers; receiving with said location-based services system over said publically accessible unsecure network advertising campaign parameters entered into said advertising campaign parameter entry form with said business remote terminal by said one of said business subscribers, said advertising campaign parameters comprising a detailed description of an offer designed to promote and sell a particular product or service of said one of said subscriber businesses, specification of a mechanism of delivery of said offer to said consumer subscribers for said particular product or service, specification of a geographic location or region where said consumer subscribers must be geographically located to receive said offer, and specification of a specific category of consumer subscribers to which said offer is targeted; creating one or more specific promotions for said particular product or service with said location-based services system based on said advertising campaign parameters; said location-based services system receiving over said publically accessible unsecured network from a wireless remote terminal of one of said consumer subscribers a request for information related to goods or services; said location-based services system determining a current geographic location of said wireless remote terminal of said one of said consumer subscribers in response to receipt from said wireless remote terminal of said request for information related to goods or services, confirming with said location-based services system, in response to receipt from said wireless remote terminal of said request for information related to goods or services and an identifier of said one of said consumer remote terminals included with said request, that said current geographic location of said wireless remote terminal is within said specified geographic location or area; confirming with said location-based services system in response to receipt from said wireless remote terminal of said request for information related to goods or services and said identifier of said one of said consumer remote terminals included with said request that said one of said consumer subscribers of said remote terminal is within said specific category of consumer subscribers based on said stored user specific information of said one of said consumer subscribers; and said location-based services system transmitting over said publically accessible unsecured network a geographically targeted response and said one or more specific promotions for receipt by said wireless remote terminal in response to said request and confirmation said current geographic location of said wireless remote terminal is in said specified geographic location or area and said one of said consumer subscribers of said remote terminal is within said specific category of consumer subscribers based on said stored user specific information of said one of said consumer subscribers. | 1. A method for creating advertising content and providing said advertising content in a communication network, comprising: storing user specific information of a plurality of consumer subscribers that are subscribed to a location-based services system as patrons and a plurality of business subscribers that are subscribed to said location-based services system as advertising customers of said location-based services system; said location-based services system transmitting an advertising campaign parameter entry form over a publically accessible unsecure network for receipt by a business remote terminal of one of said business subscribers; receiving with said location-based services system over said publically accessible unsecure network advertising campaign parameters entered into said advertising campaign parameter entry form with said business remote terminal by said one of said business subscribers, said advertising campaign parameters comprising a detailed description of an offer designed to promote and sell a particular product or service of said one of said subscriber businesses, specification of a mechanism of delivery of said offer to said consumer subscribers for said particular product or service, specification of a geographic location or region where said consumer subscribers must be geographically located to receive said offer, and specification of a specific category of consumer subscribers to which said offer is targeted; creating one or more specific promotions for said particular product or service with said location-based services system based on said advertising campaign parameters; said location-based services system receiving over said publically accessible unsecured network from a wireless remote terminal of one of said consumer subscribers a request for information related to goods or services; said location-based services system determining a current geographic location of said wireless remote terminal of said one of said consumer subscribers in response to receipt from said wireless remote terminal of said request for information related to goods or services, confirming with said location-based services system, in response to receipt from said wireless remote terminal of said request for information related to goods or services and an identifier of said one of said consumer remote terminals included with said request, that said current geographic location of said wireless remote terminal is within said specified geographic location or area; confirming with said location-based services system in response to receipt from said wireless remote terminal of said request for information related to goods or services and said identifier of said one of said consumer remote terminals included with said request that said one of said consumer subscribers of said remote terminal is within said specific category of consumer subscribers based on said stored user specific information of said one of said consumer subscribers; and said location-based services system transmitting over said publically accessible unsecured network a geographically targeted response and said one or more specific promotions for receipt by said wireless remote terminal in response to said request and confirmation said current geographic location of said wireless remote terminal is in said specified geographic location or area and said one of said consumer subscribers of said remote terminal is within said specific category of consumer subscribers based on said stored user specific information of said one of said consumer subscribers. 40. The method of claim 1 , wherein said advertising campaign parameters further include a geographic location restriction comprising an address of said one of said business subscribers and a specified radius from said address. | 0.9092 |
9,137,581 | 4 | 8 | 4. The video recording/playing device as set forth in claim 1 , wherein the processor: extracts words from the electronic program guide and acquires, as an attention word, a word for which an appearance frequency in a second period, following a first period, has increased beyond the appearance frequency in the first period, displays on a screen, as a search word candidate, a word obtained by causing the acquired attention word to operate on the acquired trending word, and receives a selection input for a search word by the user, and retrieves from the program information database program information that includes the search word selected by the user. | 4. The video recording/playing device as set forth in claim 1 , wherein the processor: extracts words from the electronic program guide and acquires, as an attention word, a word for which an appearance frequency in a second period, following a first period, has increased beyond the appearance frequency in the first period, displays on a screen, as a search word candidate, a word obtained by causing the acquired attention word to operate on the acquired trending word, and receives a selection input for a search word by the user, and retrieves from the program information database program information that includes the search word selected by the user. 8. The video recording/playing device as set forth in claim 4 , wherein the processor displays on the screen, as search word candidates, words wherein the acquired attention word has been excluded from the acquired trending word. | 0.88352 |
8,297,978 | 1 | 2 | 1. A key-symbol dictionary for learning multi-radical words in a Chinese-character-based language having a set of Chinese radicals, comprising: key-symbol pages each respectively associated with a single Chinese radical within the set of Chinese radicals and having thereon: the single Chinese radical as a symbol; a single keyword corresponding to a given meaning of the single Chinese radical, the single keyword: being in a user's language and having letters in the user's alphabet; and including therein a bridge comprised of at least one of the letters; and a list of memory joggers, each memory jogger being a word in the user's language containing at least the bridge, the list of memory joggers being selected such that a multi-radical word having at least two of the Chinese radicals can be recognized with a mnemonic formed from one memory jogger from each page corresponding to each of the at least two of the Chinese radicals; and the key-symbol pages being ordered alphabetically based on a spelling of the bridge associated with each key-symbol page. | 1. A key-symbol dictionary for learning multi-radical words in a Chinese-character-based language having a set of Chinese radicals, comprising: key-symbol pages each respectively associated with a single Chinese radical within the set of Chinese radicals and having thereon: the single Chinese radical as a symbol; a single keyword corresponding to a given meaning of the single Chinese radical, the single keyword: being in a user's language and having letters in the user's alphabet; and including therein a bridge comprised of at least one of the letters; and a list of memory joggers, each memory jogger being a word in the user's language containing at least the bridge, the list of memory joggers being selected such that a multi-radical word having at least two of the Chinese radicals can be recognized with a mnemonic formed from one memory jogger from each page corresponding to each of the at least two of the Chinese radicals; and the key-symbol pages being ordered alphabetically based on a spelling of the bridge associated with each key-symbol page. 2. The key-symbol dictionary according to claim 1 , further comprising: a user radical dictionary section containing a list of user-recognized radicals within the set of Chinese radicals, each entry in the list of user-recognized radicals having thereat: the keyword associated with the respective single Chinese radical; the bridge associated with the keyword in the key-symbol page for the respective single Chinese radical; and each entry in the list of user-recognized radicals being ordered alphabetically based on a spelling of a respective one of the associated bridges; and a user multi-radical dictionary section containing a list of user-recognized multi-radical words, each entry in the list of user-recognized multi-radical words having: a written form of the multi-radical word containing at least two of the user-recognized radicals; a written form of the meaning of the multi-radical word in the user's language; the bridge entry for each of the at least two of the user-recognized radicals within the multi-radical word; a mnemonic in the user's language for recalling the written form of the multi-radical word, the mnemonic being based upon at least one memory jogger for each of the user-recognized radicals within the multi-radical word; and each entry in the list of user-recognized multi-radical words being ordered alphabetically based first on a spelling of a first bridge associated with a respective one of the user-recognized multi-radical words. | 0.500339 |
8,196,037 | 2 | 7 | 2. The method according to claim 1 , wherein the tag ruler elements in the tag ruler comprise all HTML tags between a pair of <TR></TR> adapted to show a row of a table in the web page which is displayed in the form of the table. | 2. The method according to claim 1 , wherein the tag ruler elements in the tag ruler comprise all HTML tags between a pair of <TR></TR> adapted to show a row of a table in the web page which is displayed in the form of the table. 7. The method according to claim 2 , wherein the tag ruler is a tag list vector comprising multiple tag ruler elements. | 0.967109 |
7,917,480 | 36 | 49 | 36. A non-transitory computer-readable medium having stored thereon instructions, which, when executed by a processor in a document compression system, causes the processor to perform a multi-tier document compression method including the operations of: identifying a set of unique tokens contained in a set of documents, the set of documents comprising a sequence of tokens wherein each of the unique tokens comprises document content in the set of documents; assigning a unique first token identifier from a set of first token identifiers to each unique token based at least in part on the frequency of occurrence of the unique token in the set of documents, wherein high-frequency tokens are assigned smaller valued first token identifiers than low-frequency tokens; selecting a range of token positions in the set of documents; assigning a second token identifier from a set of second token identifiers to each first token identifier that is assigned to a token having a token position within the selected range of token positions in the documents; and storing the second token identifiers in a repository for subsequent retrieval, wherein a sequence of the second token identifiers in the repository represent document content in the selected range of token positions in the set of documents; and generating a mapping of the second token identifiers to all corresponding first token identifiers for the selected range of token positions. | 36. A non-transitory computer-readable medium having stored thereon instructions, which, when executed by a processor in a document compression system, causes the processor to perform a multi-tier document compression method including the operations of: identifying a set of unique tokens contained in a set of documents, the set of documents comprising a sequence of tokens wherein each of the unique tokens comprises document content in the set of documents; assigning a unique first token identifier from a set of first token identifiers to each unique token based at least in part on the frequency of occurrence of the unique token in the set of documents, wherein high-frequency tokens are assigned smaller valued first token identifiers than low-frequency tokens; selecting a range of token positions in the set of documents; assigning a second token identifier from a set of second token identifiers to each first token identifier that is assigned to a token having a token position within the selected range of token positions in the documents; and storing the second token identifiers in a repository for subsequent retrieval, wherein a sequence of the second token identifiers in the repository represent document content in the selected range of token positions in the set of documents; and generating a mapping of the second token identifiers to all corresponding first token identifiers for the selected range of token positions. 49. The computer-readable medium of claim 36 , further comprising: determining one or more attributes in the set of documents; and storing the one or more attributes for subsequent retrieval. | 0.829768 |
8,903,799 | 8 | 12 | 8. A computer program product for finding data objects corresponding to a user query, the computer program product comprising at least one non-transitory computer readable medium storing instructions translatable by a computer, the instructions when translated by the computer causing the computer to perform: presenting a user interface on a device associated with a user based on a particular object type definition for a selected object type, the user interface comprising query options for the user to formulate a query on the selected object type, the query options comprising a structured query constraint and an unstructured query constraint, wherein the particular object type definition specifies a set of attributes representing metadata for data objects instantiated according to the selected object type; and forming the query for an information retrieval engine, the query combining the structured query constraint and the unstructured query constraint, the information retrieval engine processing the query and returning data objects that correspond to the query, the data objects being from a set of data objects, each data object in the set of data objects comprising unstructured data and a metadata structure as ascribed by an object type definition. | 8. A computer program product for finding data objects corresponding to a user query, the computer program product comprising at least one non-transitory computer readable medium storing instructions translatable by a computer, the instructions when translated by the computer causing the computer to perform: presenting a user interface on a device associated with a user based on a particular object type definition for a selected object type, the user interface comprising query options for the user to formulate a query on the selected object type, the query options comprising a structured query constraint and an unstructured query constraint, wherein the particular object type definition specifies a set of attributes representing metadata for data objects instantiated according to the selected object type; and forming the query for an information retrieval engine, the query combining the structured query constraint and the unstructured query constraint, the information retrieval engine processing the query and returning data objects that correspond to the query, the data objects being from a set of data objects, each data object in the set of data objects comprising unstructured data and a metadata structure as ascribed by an object type definition. 12. The computer program product of claim 8 , further comprising instructions that when translated by the computer cause the computer to perform: saving the query as a query object; and when the query object is opened, automatically running the query to return the data objects that correspond to the query. | 0.501623 |
8,417,654 | 24 | 28 | 24. The system of claim 15 , wherein the model refinement system is further configured to: determine quality scores for the intermediate split-rules based on precision measures and coverage measures of the intermediate split-rules; select intermediate split-rules for adjustment based on the quality scores; and adjust the selected intermediate split-rules to generate final split-rules. | 24. The system of claim 15 , wherein the model refinement system is further configured to: determine quality scores for the intermediate split-rules based on precision measures and coverage measures of the intermediate split-rules; select intermediate split-rules for adjustment based on the quality scores; and adjust the selected intermediate split-rules to generate final split-rules. 28. The system of claim 24 , wherein the model refinement system is further configured to select additional clauses that maximize a result of an adjusted rule weight function for the selected intermediate split-rules and adjust the selected intermediate split-rules, based at least in part on the selected additional clauses. | 0.903043 |
9,009,157 | 14 | 15 | 14. The method of claim 13 , wherein the feature vector is based on at least one of a word sequence and an operator within a conditional statement of a query. | 14. The method of claim 13 , wherein the feature vector is based on at least one of a word sequence and an operator within a conditional statement of a query. 15. The method of claim 14 , wherein the generating of the cluster comprises defining a vector space based on the feature vector and clustering the queries in the vector space. | 0.931304 |
9,799,051 | 10 | 11 | 10. The method of claim 1 , wherein the unique keyword is authored by generating a list of acceptable keywords and iteratively searching the media searching platform for ones which generate zero matches. | 10. The method of claim 1 , wherein the unique keyword is authored by generating a list of acceptable keywords and iteratively searching the media searching platform for ones which generate zero matches. 11. The method of claim 10 , wherein the unique keyword is authored by iteratively searching across more than one media platforms and selecting keywords that have no matches on each of the media platforms. | 0.910324 |
7,908,141 | 1 | 5 | 1. A computer-based method for speech to text conversion preprocessing of a presentation with a speech audio, comprising: capturing a presentation speech audio input to be converted into text; preprocessing the presentation speech audio input prior to its speech to text conversion by temporally associating the speech audio input with at least one supporting text source from the same presentation containing common keywords; and creating an optimized and prioritized keyword positional index metadata set for inputting into a speech to text conversion processor. | 1. A computer-based method for speech to text conversion preprocessing of a presentation with a speech audio, comprising: capturing a presentation speech audio input to be converted into text; preprocessing the presentation speech audio input prior to its speech to text conversion by temporally associating the speech audio input with at least one supporting text source from the same presentation containing common keywords; and creating an optimized and prioritized keyword positional index metadata set for inputting into a speech to text conversion processor. 5. The method according to claim 1 , wherein the method is used in real time. | 0.936678 |
8,554,800 | 1 | 11 | 1. A method for improving data accessibility, the method comprising: dividing a source document into multiple objects, in response to content of the source document; the multiple objects comprise sections and fragments, each section comprises a plurality of fragments; analyzing the multiple objects to generate multiple low level sub-trees, wherein each of the low level sub-trees is associated with a fragment and comprises the fragment; generating multiple mid-level sub-trees, wherein each of the mid-level sub-trees is associated with a unique section of the source document and comprises a link to each one of the low level sub-tree that are associated with the plurality of the fragments of the unique section; generating a top level sub-tree that comprises multiple section links, wherein each of the section links links to one of the mid-level sub-trees; creating metadata descriptive of at least one of the sub-trees generated, wherein the metadata comprises data which is not comprised in the source document; and generating a structured document that comprises the top level sub-tree, at least some of the mid- level sub-trees and at least some of the low level sub-trees, and the metadata; wherein the generating comprises writing the structured document to a tangible memory; wherein the method further comprises: retrieving one of the objects, wherein the retrieving includes acquiring from the to level sub-tree a link to a mid-level sub-tree, acquiring from the mid-level sub-tree a link to a low level sub-tree and retrieving the object from the low level sub-tree; and creating an event handler for a sub-tree wherein the event handler is included in the sub-tree; wherein the creating comprises carrying out an action which is indicated in the event handles, if an event that is indicated in the event handler occurred. | 1. A method for improving data accessibility, the method comprising: dividing a source document into multiple objects, in response to content of the source document; the multiple objects comprise sections and fragments, each section comprises a plurality of fragments; analyzing the multiple objects to generate multiple low level sub-trees, wherein each of the low level sub-trees is associated with a fragment and comprises the fragment; generating multiple mid-level sub-trees, wherein each of the mid-level sub-trees is associated with a unique section of the source document and comprises a link to each one of the low level sub-tree that are associated with the plurality of the fragments of the unique section; generating a top level sub-tree that comprises multiple section links, wherein each of the section links links to one of the mid-level sub-trees; creating metadata descriptive of at least one of the sub-trees generated, wherein the metadata comprises data which is not comprised in the source document; and generating a structured document that comprises the top level sub-tree, at least some of the mid- level sub-trees and at least some of the low level sub-trees, and the metadata; wherein the generating comprises writing the structured document to a tangible memory; wherein the method further comprises: retrieving one of the objects, wherein the retrieving includes acquiring from the to level sub-tree a link to a mid-level sub-tree, acquiring from the mid-level sub-tree a link to a low level sub-tree and retrieving the object from the low level sub-tree; and creating an event handler for a sub-tree wherein the event handler is included in the sub-tree; wherein the creating comprises carrying out an action which is indicated in the event handles, if an event that is indicated in the event handler occurred. 11. The method according to claim 1 , wherein the creating of the metadata comprises creating semantic tags for multiple sub-trees of the structured document, wherein the method further comprises creating a tag cloud of semantic tags for one of the sub-trees; creating a tag cloud of semantic tags of at least a portion of the structured document which excludes the sub-tree; and creating metadata in response to a result of a comparison between the tag clouds. | 0.668345 |
9,785,891 | 15 | 18 | 15. A system for automatically analyzing a conversation between a plurality ofusers, the system comprising: a data collection module on a computer comprising a processor and memory configured to receive signals corresponding to a training dataset including a plurality of data sequences related to the conversation; a feature extraction module on the computer configured to extract at least one feature from the received training dataset based on predefined feature categories; a learning module on the computer configured to: formulate a plurality of tasks for being learned from the training dataset based on the extracted at least one feature, wherein each of the plurality of tasks is related to at least one predefined label; provide a model for each of the plurality of formulated tasks, wherein the model includes one or more parameters having a set of parameters common to the plurality of formulated tasks, wherein the set of parameters includes at least one label dependency factor, that is an explicit parameter, which is explicitly shared with each of the plurality of formulated tasks; optimize values for the one or more parameters and the at least one explicit parameter to create an optimized model; and create a trained model for each of the plurality of formulated tasks using an optimized value of the at least one explicit parameter and corresponding values of the one or more parameters; and a classification module on the computer configured to assign the at least one predefined label for each of the plurality of formulated tasks on to a live dataset based on the created trained model, wherein the computer is configured to output signals corresponding to the live dataset assigned with the at least one predefined label for each of the plurality of formulated tasks. | 15. A system for automatically analyzing a conversation between a plurality ofusers, the system comprising: a data collection module on a computer comprising a processor and memory configured to receive signals corresponding to a training dataset including a plurality of data sequences related to the conversation; a feature extraction module on the computer configured to extract at least one feature from the received training dataset based on predefined feature categories; a learning module on the computer configured to: formulate a plurality of tasks for being learned from the training dataset based on the extracted at least one feature, wherein each of the plurality of tasks is related to at least one predefined label; provide a model for each of the plurality of formulated tasks, wherein the model includes one or more parameters having a set of parameters common to the plurality of formulated tasks, wherein the set of parameters includes at least one label dependency factor, that is an explicit parameter, which is explicitly shared with each of the plurality of formulated tasks; optimize values for the one or more parameters and the at least one explicit parameter to create an optimized model; and create a trained model for each of the plurality of formulated tasks using an optimized value of the at least one explicit parameter and corresponding values of the one or more parameters; and a classification module on the computer configured to assign the at least one predefined label for each of the plurality of formulated tasks on to a live dataset based on the created trained model, wherein the computer is configured to output signals corresponding to the live dataset assigned with the at least one predefined label for each of the plurality of formulated tasks. 18. The system of claim 15 , wherein the predefined feature categories include at least one of a “Word 1-grams and 2-grams”, “Segment position in the conversation”, “Segment position in a conversation sequence”, “Sender”, “Contains email”, “#Upper case”, “# Punctuation”, “#Special punctuation”, “Positive Sentiment”, “Negative Sentiment”, “Category of previous sequence”, “Category of previous sequence of the same author”, and “Category of previous sequence of a different author”. | 0.665975 |
8,504,380 | 34 | 35 | 34. A system according to claim 26 , wherein the protocol design tool is further configured to: receive at least one event for the clinical trial protocol; and link said at least one individual task to said at least one event. | 34. A system according to claim 26 , wherein the protocol design tool is further configured to: receive at least one event for the clinical trial protocol; and link said at least one individual task to said at least one event. 35. A system according to claim 34 , wherein the protocol design tool is further configured to auto-generate, in a clinical trial protocol document, a schedule of activities table in dependence upon link of said at least one individual task to said at least one event. | 0.934857 |
9,922,098 | 11 | 12 | 11. The computing system of claim 2 wherein the context identification system comprises: a document personnel detector configured to detect other personnel that are related to the documents, other than the user, wherein the relevancy generator is configured to generate the relevancy metric for the documents based on the detected other personnel. | 11. The computing system of claim 2 wherein the context identification system comprises: a document personnel detector configured to detect other personnel that are related to the documents, other than the user, wherein the relevancy generator is configured to generate the relevancy metric for the documents based on the detected other personnel. 12. The computing system of claim 11 wherein the context identification system comprises: a proximity detector configured to detect a proximity of the user to the other personnel, wherein the relevancy generator is configured to generate the relevancy metric based on the detected proximity to the other personnel. | 0.836458 |
8,645,364 | 1 | 6 | 1. A system comprising: an electronic device comprising: one or more persistent data storage devices storing multiple definitions of a first term, wherein each of particular ones of the definitions is stored in association with information that specifies a manner in which the particular one of the definitions characterizes a usage of the first term in one or more contexts that are characterized according to one or more identified textual indications for each of one or more texts in which the first term appears, and one or more media files that each include textual content that includes the first term; one or more display devices configured to display the textual content of a first of the media files; one or more input devices configured to receive a user selection of the first term within a portion of textual content from the textual content of the first of the media files; and one or more data processing devices programmed to respond to receipt of the user selection of the first term by performing operations comprising: determining, for the portion of the textual content, a context that identifies how the portion of the textual content is used within the textual content of the first of the media files, wherein the determining is based on at least one identified textual indication that is identified in the portion of the textual content by the one or more data processing devices, accessing, from the one or more persistent data storage devices, the information that specifies the manner in which the particular one of the definitions characterize the usage of the first term in the one or more contexts, comparing the accessed information with the determined context that identifies how the portion of the textual content is used within the textual content of the first of the media files, and ranking the definitions of the first term according to respective likelihoods that the definitions provide correct characterizations of the usage of the first term within the portion of the textual content, wherein the ranking is based on the comparing. | 1. A system comprising: an electronic device comprising: one or more persistent data storage devices storing multiple definitions of a first term, wherein each of particular ones of the definitions is stored in association with information that specifies a manner in which the particular one of the definitions characterizes a usage of the first term in one or more contexts that are characterized according to one or more identified textual indications for each of one or more texts in which the first term appears, and one or more media files that each include textual content that includes the first term; one or more display devices configured to display the textual content of a first of the media files; one or more input devices configured to receive a user selection of the first term within a portion of textual content from the textual content of the first of the media files; and one or more data processing devices programmed to respond to receipt of the user selection of the first term by performing operations comprising: determining, for the portion of the textual content, a context that identifies how the portion of the textual content is used within the textual content of the first of the media files, wherein the determining is based on at least one identified textual indication that is identified in the portion of the textual content by the one or more data processing devices, accessing, from the one or more persistent data storage devices, the information that specifies the manner in which the particular one of the definitions characterize the usage of the first term in the one or more contexts, comparing the accessed information with the determined context that identifies how the portion of the textual content is used within the textual content of the first of the media files, and ranking the definitions of the first term according to respective likelihoods that the definitions provide correct characterizations of the usage of the first term within the portion of the textual content, wherein the ranking is based on the comparing. 6. The system of claim 1 , wherein: at least some of the definitions are stored in association with characterizations of time periods; and the one or more data processing devices are programmed to analyze the textual content to determine the characterizations of the contexts of the texts. | 0.855644 |
9,547,937 | 17 | 20 | 17. A three-dimensional annotation method comprising: obtaining a source image that is two-dimensional or three-dimensional; displaying said source image on a screen associated with a first computer; accepting an annotation associated with a desired depth of a region within said source image via an input device coupled with said first computer wherein said input device comprises any combination of graphics tablet, mouse, keyboard or microphone; obtaining a at least one depth associated with said annotation by analyzing said annotation with text recognition software or by analyzing motion of a mouse or by parsing alphanumeric data from said keyboard or by asserting voice recognition software or any combination thereof; wherein said at least one depth corresponds with said desired depth of said region; and, annotating said source image with said annotation at said at least one depth in a three-dimensional image wherein said annotating said source image with said annotation at said at least one depth occurs before moving at least a portion of said region in said source image left and right to alter depth within the source image; and, generating an output stereoscopic image with said region at said same depth as said at least one depth of said annotation. | 17. A three-dimensional annotation method comprising: obtaining a source image that is two-dimensional or three-dimensional; displaying said source image on a screen associated with a first computer; accepting an annotation associated with a desired depth of a region within said source image via an input device coupled with said first computer wherein said input device comprises any combination of graphics tablet, mouse, keyboard or microphone; obtaining a at least one depth associated with said annotation by analyzing said annotation with text recognition software or by analyzing motion of a mouse or by parsing alphanumeric data from said keyboard or by asserting voice recognition software or any combination thereof; wherein said at least one depth corresponds with said desired depth of said region; and, annotating said source image with said annotation at said at least one depth in a three-dimensional image wherein said annotating said source image with said annotation at said at least one depth occurs before moving at least a portion of said region in said source image left and right to alter depth within the source image; and, generating an output stereoscopic image with said region at said same depth as said at least one depth of said annotation. 20. The method of claim 17 further comprising: displacing at least a portion of said region in said source image left and right based on said at least one depth to create an output three-dimensional image without said annotation. | 0.502174 |
7,921,111 | 11 | 12 | 11. The machine-readable storage device encoded with the computer program product of claim 7 , wherein: the search condition specifies a first digital media item; and generating the collection of data objects comprises identifying one or more operations previously performed on the first digital media item, where the collection of data objects comprises data objects representing the identified operations for the first digital media item. | 11. The machine-readable storage device encoded with the computer program product of claim 7 , wherein: the search condition specifies a first digital media item; and generating the collection of data objects comprises identifying one or more operations previously performed on the first digital media item, where the collection of data objects comprises data objects representing the identified operations for the first digital media item. 12. The machine-readable storage device encoded with the computer program product of claim 11 , wherein the identified operations include edit operations, the method further comprising: using the iterator to sequentially access the identified edit operations and to reapply each edit operation to create a current state of the first digital media item. | 0.856678 |
7,895,218 | 1 | 11 | 1. A method of incrementally identifying and selecting a television content item to be presented from a relatively large set of selectable television content items, the television content items being associated with descriptive terms that characterize the selectable television content items, the method comprising: using an ordering criteria to rank and associate subsets of television content items with corresponding strings of one or more descriptor prefix strings, each descriptor prefix string being a variable length string containing a subset of the characters of the descriptive terms that characterize the selectable television content items, wherein each descriptor prefix string contains less than all characters of the descriptive terms; subsequent to ranking and associating the television content items with strings of one or more descriptor prefix strings, receiving incremental text input entered by a user, the incremental text input including a first descriptor prefix of a word entered by the user for incrementally identifying at least one desired television content item of the relatively large set of television content items, wherein the first descriptor prefix contains less than all characters of the word the user is using to incrementally identify the at least one desired television content item; selecting and presenting on a display device the subset of television content items that is associated with the first descriptor prefix string; subsequent to receiving the first descriptor prefix, receiving subsequent incremental text input entered by the user, the subsequent incremental text input including a second descriptor prefix of a word entered by the user for incrementally identifying the at least one desired television content item and forming a string of prefixes including the first descriptor prefix and the second descriptor prefix in the order received, wherein the second descriptor prefix contains less than all characters of the word the user is using to incrementally identify the at least one desired television content item; and selecting and presenting on the display device the subset of television content items that is associated with the string of prefixes received. | 1. A method of incrementally identifying and selecting a television content item to be presented from a relatively large set of selectable television content items, the television content items being associated with descriptive terms that characterize the selectable television content items, the method comprising: using an ordering criteria to rank and associate subsets of television content items with corresponding strings of one or more descriptor prefix strings, each descriptor prefix string being a variable length string containing a subset of the characters of the descriptive terms that characterize the selectable television content items, wherein each descriptor prefix string contains less than all characters of the descriptive terms; subsequent to ranking and associating the television content items with strings of one or more descriptor prefix strings, receiving incremental text input entered by a user, the incremental text input including a first descriptor prefix of a word entered by the user for incrementally identifying at least one desired television content item of the relatively large set of television content items, wherein the first descriptor prefix contains less than all characters of the word the user is using to incrementally identify the at least one desired television content item; selecting and presenting on a display device the subset of television content items that is associated with the first descriptor prefix string; subsequent to receiving the first descriptor prefix, receiving subsequent incremental text input entered by the user, the subsequent incremental text input including a second descriptor prefix of a word entered by the user for incrementally identifying the at least one desired television content item and forming a string of prefixes including the first descriptor prefix and the second descriptor prefix in the order received, wherein the second descriptor prefix contains less than all characters of the word the user is using to incrementally identify the at least one desired television content item; and selecting and presenting on the display device the subset of television content items that is associated with the string of prefixes received. 11. The method of claim 1 , wherein the method is implemented in a device included in or proximate to a television set for displaying the subset of television content items. | 0.842441 |
7,703,003 | 16 | 25 | 16. A tangible computer readable storage medium, storing program instructions, that when executed by one or more processors, cause the one or more processors to implement: a service store comprising a plurality of service objects each corresponding to a different service, wherein each service object has a hierarchical structure specifying a plurality of activities and one or more service elements for each activity, wherein each activity is a procedure to be carried out in providing the corresponding service, wherein each service object includes activity data identifying the service object's respective plurality of activities and specifying the one or more service elements for each activity, wherein each service element represents a component of the corresponding activity and specifies a representation for inclusion in a document to be used in performing the service; wherein a particular service element of an activity of a service object stored in the service store comprises at least one of: a description of the activity, an input for the activity, an output or deliverable from the activity, an assumption for the activity, information regarding responsibility for the activity, a subsidiary activity of the activity, or a sub-work plan of the activity; a document template store comprising one or more document templates, wherein each document template specifies an organization of a type of document to be used in performing a service; and a document provider configured to: identify, for a given service selected by a user, and for a given document template selected by the user, one or more service elements of one or more activities of a service object corresponding to the given service, wherein representations of the one or more service elements are to be included in a document organized in accordance with the given document template; and generate a document including representations of the one or more service elements, wherein the document is organized in accordance with the given document template, wherein the representations of the one or more service elements are included in the document without the user having to identify each representation separately. | 16. A tangible computer readable storage medium, storing program instructions, that when executed by one or more processors, cause the one or more processors to implement: a service store comprising a plurality of service objects each corresponding to a different service, wherein each service object has a hierarchical structure specifying a plurality of activities and one or more service elements for each activity, wherein each activity is a procedure to be carried out in providing the corresponding service, wherein each service object includes activity data identifying the service object's respective plurality of activities and specifying the one or more service elements for each activity, wherein each service element represents a component of the corresponding activity and specifies a representation for inclusion in a document to be used in performing the service; wherein a particular service element of an activity of a service object stored in the service store comprises at least one of: a description of the activity, an input for the activity, an output or deliverable from the activity, an assumption for the activity, information regarding responsibility for the activity, a subsidiary activity of the activity, or a sub-work plan of the activity; a document template store comprising one or more document templates, wherein each document template specifies an organization of a type of document to be used in performing a service; and a document provider configured to: identify, for a given service selected by a user, and for a given document template selected by the user, one or more service elements of one or more activities of a service object corresponding to the given service, wherein representations of the one or more service elements are to be included in a document organized in accordance with the given document template; and generate a document including representations of the one or more service elements, wherein the document is organized in accordance with the given document template, wherein the representations of the one or more service elements are included in the document without the user having to identify each representation separately. 25. The computer readable storage medium as recited in claim 16 , wherein the instructions when executed further cause the one or more processors to implement: a service object generator configured to generate a new service object in response to input received from a user and store the new service object in the service store, wherein the input specifies one or more activities for a service to be represented by the service object. | 0.655255 |
9,710,360 | 3 | 4 | 3. The method of claim 1 further comprising: generating the first class of error identifiers using a set of stateless error parsers, wherein a stateless error parser comprises an error parser that uses a single output line of regular expression to determine the nature of an error. | 3. The method of claim 1 further comprising: generating the first class of error identifiers using a set of stateless error parsers, wherein a stateless error parser comprises an error parser that uses a single output line of regular expression to determine the nature of an error. 4. The method of claim 3 wherein said determining an error identifier of the first class of error identifiers corresponding to the one or more output entries comprises: submitting each of the one or more output entries to an error parser of the set of stateless error parsers; and if the error parser matches a regular expression of the one or more output entries, then the error identifier corresponds to the error parser. | 0.89698 |
10,133,455 | 1 | 7 | 1. A method for collaboratively preparing and presenting a presentation, said method comprising: configuring a computer for use by a control operator to view and manage proposed synchronous contributions by on-line contributors to a presentation script and for saving the presentation script being prepared; structuring the presentation script as a series of segments, each of which segments includes one or more elements; accessing at least one of the elements remotely through the Internet; saving the presentation script on the computer responsive to an interaction with the control operator; and after preparing and saving the presentation script, presenting at least portions of the saved scripted presentation to a presentation audience. | 1. A method for collaboratively preparing and presenting a presentation, said method comprising: configuring a computer for use by a control operator to view and manage proposed synchronous contributions by on-line contributors to a presentation script and for saving the presentation script being prepared; structuring the presentation script as a series of segments, each of which segments includes one or more elements; accessing at least one of the elements remotely through the Internet; saving the presentation script on the computer responsive to an interaction with the control operator; and after preparing and saving the presentation script, presenting at least portions of the saved scripted presentation to a presentation audience. 7. The method of claim 1 wherein presenting includes transferring at least the presented portions of the saved scripted presentation via the Internet, fiber optic cable, satellite, ISDN or other high speed transmission line or facility. | 0.57554 |
8,521,764 | 8 | 11 | 8. A system comprising: one or more server devices to: identify entity identifiers, where each of the entity identifiers is associated with a document that was selected, from a plurality of documents, based on a search query including a same variation of an entity name; determine whether a total quantity of selections of the document associated with a particular entity identifier, of the entity identifiers, is greater than a total quantity of selections of each of the documents associated with other ones of the entity identifiers; and store, based on a result of the determining, the same variation of the entity name in a first memory that is used for rewriting search queries or a second memory that is used for suggesting rewritten search queries, where the same variation of the entity name is stored in the second memory when the total quantity of selections of the document associated with the particular entity identifier is greater than the total quantity of selections of each of the documents associated with the other ones of the entity identifiers, and where the same variation of the entity name is stored in the first memory when the total quantity of selections of the document associated with the particular entity identifier is substantially greater than the total quantity of selections of each of the documents associated with the other ones of the entity identifiers. | 8. A system comprising: one or more server devices to: identify entity identifiers, where each of the entity identifiers is associated with a document that was selected, from a plurality of documents, based on a search query including a same variation of an entity name; determine whether a total quantity of selections of the document associated with a particular entity identifier, of the entity identifiers, is greater than a total quantity of selections of each of the documents associated with other ones of the entity identifiers; and store, based on a result of the determining, the same variation of the entity name in a first memory that is used for rewriting search queries or a second memory that is used for suggesting rewritten search queries, where the same variation of the entity name is stored in the second memory when the total quantity of selections of the document associated with the particular entity identifier is greater than the total quantity of selections of each of the documents associated with the other ones of the entity identifiers, and where the same variation of the entity name is stored in the first memory when the total quantity of selections of the document associated with the particular entity identifier is substantially greater than the total quantity of selections of each of the documents associated with the other ones of the entity identifiers. 11. The system of claim 8 , where the one or more server devices are further to: evaluate a second variation of the entity name, where, when evaluating the second variation, the one or more server devices are to: identify second entity identifiers, each of the second identifiers being associated with a second document that was selected based on a particular search query including the second variation, and determine whether a total quantity of selections of the second document associated with a particular second entity identifier, of the second entity identifiers, exceeds a threshold; determine whether to store the second variation in one of the first memory or the second memory when the total quantity of selections of the second document associated with the particular second entity identifier exceeds the threshold; and discard the second variation of the entity name, from further consideration, when the total quantity of selections of the second document associated with the particular second entity identifier does not exceed the threshold. | 0.553723 |
8,756,184 | 13 | 18 | 13. An apparatus for utilizing a user's predicted attributes in a computer system comprising: (a) a computer having a memory; (b) an application executing on the computer, wherein the application is configured to: collect a plurality of sample user behaviors and a plurality of sample user attributes from a service that offers videos for viewing, wherein a sample user behavior is based on a sample user using the service and a sample user attribute is received from the sample user; train a model to be able to produce the plurality of sample user attributes from the plurality of sample user behaviors; after training, input the plurality of sample user behaviors into the trained model to produce predicted sample user attributes; compare the plurality of sample user attributes and the plurality of sample user behaviors to the predicted sample user attributes to determine associated probabilities for the predicted sample user attributes; determine a real user behavior for a second user based on the second user using the service; predict, using the model, that the second user has a predicted user attribute of an associated probability based on the user having the real user behavior, wherein the predicted user attribute of the associated probability is not known for the second user; and utilize that the second user has the predicted user attribute of the associated probability to improve the second user's experience using the service. | 13. An apparatus for utilizing a user's predicted attributes in a computer system comprising: (a) a computer having a memory; (b) an application executing on the computer, wherein the application is configured to: collect a plurality of sample user behaviors and a plurality of sample user attributes from a service that offers videos for viewing, wherein a sample user behavior is based on a sample user using the service and a sample user attribute is received from the sample user; train a model to be able to produce the plurality of sample user attributes from the plurality of sample user behaviors; after training, input the plurality of sample user behaviors into the trained model to produce predicted sample user attributes; compare the plurality of sample user attributes and the plurality of sample user behaviors to the predicted sample user attributes to determine associated probabilities for the predicted sample user attributes; determine a real user behavior for a second user based on the second user using the service; predict, using the model, that the second user has a predicted user attribute of an associated probability based on the user having the real user behavior, wherein the predicted user attribute of the associated probability is not known for the second user; and utilize that the second user has the predicted user attribute of the associated probability to improve the second user's experience using the service. 18. The apparatus of claim 13 , wherein the application is configured to compare by determining the associated probability based on a least squared fit analysis based on the predicted user attribute and sample user behavior. | 0.867769 |
9,946,514 | 12 | 19 | 12. A non-transitory computer readable storage medium including instructions that, when executed by a processor, cause the processor to perform a method for generating functional application designs, comprising: receiving, by a design tool, one or more natural language utterances corresponding to natural language design commands for editing an application being designed; editing one or more components of the application being designed based on each of the natural language utterances; and generating, by the design tool, a functional instance of the application being designed, wherein generating the functional instance of the application being designed comprises: analyzing, by a natural language processor, a natural language utterance from the one or more natural language utterances to extract one or more entities from the natural language utterance, wherein each of the extracted one or more entities is a component part of the natural language utterance; determining, by a machine learning based natural language intent processor, an intent of the natural language utterance with respect to the application being designed; determining an action that implements the determined intent in the application being designed, wherein the one or more extracted entities are variables that define the determined intent in the design command; executing the design command that creates or modifies a component in the application being designed based on the determined action; and saving the application being designed as a workspace that includes the created or modified component. | 12. A non-transitory computer readable storage medium including instructions that, when executed by a processor, cause the processor to perform a method for generating functional application designs, comprising: receiving, by a design tool, one or more natural language utterances corresponding to natural language design commands for editing an application being designed; editing one or more components of the application being designed based on each of the natural language utterances; and generating, by the design tool, a functional instance of the application being designed, wherein generating the functional instance of the application being designed comprises: analyzing, by a natural language processor, a natural language utterance from the one or more natural language utterances to extract one or more entities from the natural language utterance, wherein each of the extracted one or more entities is a component part of the natural language utterance; determining, by a machine learning based natural language intent processor, an intent of the natural language utterance with respect to the application being designed; determining an action that implements the determined intent in the application being designed, wherein the one or more extracted entities are variables that define the determined intent in the design command; executing the design command that creates or modifies a component in the application being designed based on the determined action; and saving the application being designed as a workspace that includes the created or modified component. 19. The non-transitory computer readable storage medium of claim 12 , further comprising: receiving a natural language request to further modify the component created or modified in the application being designed based on the determined action; storing data indicative of the determined intent as an initial intent associated with the natural language utterance; storing data indicative of a resolved intent, wherein the resolved intent comprises an intent and zero or more entities associated with the natural language request to further modify the component, and wherein the resolved intent is further associated with the natural language utterance associated with the initial intent; and performing a machine learning analysis using the initial intent and the resolved intent to refine a machine learning model for the analysis of intent and entity extraction from natural language utterances. | 0.500557 |
9,195,635 | 5 | 6 | 5. The method of claim 1 , wherein the deriving the set of document clusters comprises performing a constraint-based topic analysis applying constrained clustering algorithm with the generated temporal and visual constraints. | 5. The method of claim 1 , wherein the deriving the set of document clusters comprises performing a constraint-based topic analysis applying constrained clustering algorithm with the generated temporal and visual constraints. 6. The method of claim 5 , wherein the constrained clustering algorithm comprises constrained information-theoretic co-clustering, or constrained co-clustering with non-negative matrix trifactorization, or constrained K-means, or constrained LDA or combinations thereof. | 0.944808 |
8,775,181 | 3 | 4 | 3. The system of claim 1 , wherein the audio input device and the output device are located on a first communication device. | 3. The system of claim 1 , wherein the audio input device and the output device are located on a first communication device. 4. The system of claim 3 , wherein the server resides on the first communication device. | 0.966641 |
8,370,147 | 7 | 8 | 7. The method of claim 1 , wherein each of the plurality of sets of location-specific grammar information corresponds to a different subdivision, neighborhood, city, or county, and wherein the selected set of location-specific grammar information corresponds to a subdivision, neighborhood, city, or county that is most proximal, among the plurality of sets, to the current location of the computing device. | 7. The method of claim 1 , wherein each of the plurality of sets of location-specific grammar information corresponds to a different subdivision, neighborhood, city, or county, and wherein the selected set of location-specific grammar information corresponds to a subdivision, neighborhood, city, or county that is most proximal, among the plurality of sets, to the current location of the computing device. 8. The method of claim 7 , wherein generating the one or more interpretations of the natural language utterance includes: recognizing one or more words in the natural language utterance that define a navigation command; recognizing one or more additional words in the natural language utterance that define a location associated with the navigation command; and generating the recognition grammar based on the location defined in the one or more additional words recognized in the natural language utterance. | 0.839037 |
6,029,195 | 6 | 10 | 6. A method of operating a network-based agent to seek out users of a network with common interests, where said users are connected via user terminals and data communication connections to a server system which provides access to an electronic data transmission media, comprising the steps of: dynamically creating bulletin boards for said users, comprising: scanning bulletin board postings to existing bulletin boards, identifying a group of users who have common interests, matching users with other like inclined users in said identified group to create a proposed new bulletin board. | 6. A method of operating a network-based agent to seek out users of a network with common interests, where said users are connected via user terminals and data communication connections to a server system which provides access to an electronic data transmission media, comprising the steps of: dynamically creating bulletin boards for said users, comprising: scanning bulletin board postings to existing bulletin boards, identifying a group of users who have common interests, matching users with other like inclined users in said identified group to create a proposed new bulletin board. 10. The method of operating a network-based agent of claim 6, wherein said step of automatically creating further comprises: dynamically creating electronic mailing lists for said users matched by said step of matching. | 0.900995 |
10,089,056 | 20 | 21 | 20. The first electronic device of claim 15 , wherein, for each node representing a sketch content object, the node includes a sequence of one or more drawing commands directed to the sketch content object, each of the one or more drawing commands has a respective command sequence number, and the respective command sequence number includes (1) a device identifier for a device at which the drawing command was first received, (2) a primary local sequence number representing a local synchronization epoch during which the drawing command was first received, and (3) a secondary local sequence number representing an order of the drawing command within the local synchronization epoch. | 20. The first electronic device of claim 15 , wherein, for each node representing a sketch content object, the node includes a sequence of one or more drawing commands directed to the sketch content object, each of the one or more drawing commands has a respective command sequence number, and the respective command sequence number includes (1) a device identifier for a device at which the drawing command was first received, (2) a primary local sequence number representing a local synchronization epoch during which the drawing command was first received, and (3) a secondary local sequence number representing an order of the drawing command within the local synchronization epoch. 21. The first electronic device of claim 20 , wherein updating the first command sequence in the first respective node comprises: merging and sorting each individual drawing command and one or more past drawing commands in the first command sequence in accordance with an ordering rule based on respective command sequence numbers of the one or more past drawing commands and said each individual drawing command, wherein the ordering rule gives more significance to the primary local sequence number than the device identifier, and gives more significance to the device identifier than to the secondary local sequence number when comparing command sequence numbers. | 0.863188 |
8,942,356 | 17 | 18 | 17. The system of claim 15 , further comprising: comparing the calculated score to a predetermined threshold value; and flagging the monitored telephone conversation as including the three-way call when the score exceeds the predetermined threshold. | 17. The system of claim 15 , further comprising: comparing the calculated score to a predetermined threshold value; and flagging the monitored telephone conversation as including the three-way call when the score exceeds the predetermined threshold. 18. The system of claim 17 , further comprising: tagging the determined starting point. | 0.951934 |
9,213,682 | 1 | 2 | 1. A business document auditing device comprising: a receiver configured to receive: a set of universal presentation rules comprising one or more parameters, said universal presentation rules configured to override all other presentation rules, wherein said universal presentation rules are enforced, irrespective of a user's wishes, across substantially every business document of the user, wherein the universal presentation rules comprise: page word count rules which limit the total word count on each page of each business document of the user; bullet point word count rules which limit the total word count on each bullet point included on each business document of the user; line count rules which limit the total number of lines on each page of each business document of the user; color rules which limit the palette of colors used on each page of each business document of the user; and density rules which limit the amount of white space on each page of each business document of the user; and a set of customized presentation rules comprising one or more parameters, said customized presentation rules customized by the user, wherein said customized presentation rules allow the user to enforce the customized presentation rules on a single business document, wherein the customized presentation rules are included on a displayable audit panel, wherein the displayable audit panel is viewable adjacent to the business document; a memory configured to store: execution instructions; one or more business documents; the set of universal presentation rules; and the set of customized presentation rules; and a processor coupled with the memory, the processor configured to execute the instructions, the instructions configured to cause the processor to: compare a parameter of an element of a business document of the one or more business documents to a first parameter of the universal presentation rules, wherein, when the parameter of the element of the business document is a non-compliant parameter, the processor is further configured to conform the element of the business document to the first parameter of the universal presentation rules; and compare the universal presentation rules to the customized presentation rules, wherein: when the universal presentation rules are in conflict with the customized presentation rules, the processor is further configured to cause the universal presentation rules to override the customized presentation rules; and when the universal presentation rules are not in conflict with the customized presentation rules, the processor is further configured to: compare the parameter of the element of the business document to a second parameter of the customized presentation rules, and cause the processor to, when the parameter of the element of the business document is a non-compliant parameter, present an option to the user to conform the element of the business document to the second parameter of the customized presentation rules. | 1. A business document auditing device comprising: a receiver configured to receive: a set of universal presentation rules comprising one or more parameters, said universal presentation rules configured to override all other presentation rules, wherein said universal presentation rules are enforced, irrespective of a user's wishes, across substantially every business document of the user, wherein the universal presentation rules comprise: page word count rules which limit the total word count on each page of each business document of the user; bullet point word count rules which limit the total word count on each bullet point included on each business document of the user; line count rules which limit the total number of lines on each page of each business document of the user; color rules which limit the palette of colors used on each page of each business document of the user; and density rules which limit the amount of white space on each page of each business document of the user; and a set of customized presentation rules comprising one or more parameters, said customized presentation rules customized by the user, wherein said customized presentation rules allow the user to enforce the customized presentation rules on a single business document, wherein the customized presentation rules are included on a displayable audit panel, wherein the displayable audit panel is viewable adjacent to the business document; a memory configured to store: execution instructions; one or more business documents; the set of universal presentation rules; and the set of customized presentation rules; and a processor coupled with the memory, the processor configured to execute the instructions, the instructions configured to cause the processor to: compare a parameter of an element of a business document of the one or more business documents to a first parameter of the universal presentation rules, wherein, when the parameter of the element of the business document is a non-compliant parameter, the processor is further configured to conform the element of the business document to the first parameter of the universal presentation rules; and compare the universal presentation rules to the customized presentation rules, wherein: when the universal presentation rules are in conflict with the customized presentation rules, the processor is further configured to cause the universal presentation rules to override the customized presentation rules; and when the universal presentation rules are not in conflict with the customized presentation rules, the processor is further configured to: compare the parameter of the element of the business document to a second parameter of the customized presentation rules, and cause the processor to, when the parameter of the element of the business document is a non-compliant parameter, present an option to the user to conform the element of the business document to the second parameter of the customized presentation rules. 2. The device of claim 1 , wherein, when the universal presentation rules are not in conflict with the customized presentation rules, the receiver is further configured to receive, from the user, an instruction to conform the element of the business document to the second parameter of the customized presentation rules. | 0.577836 |
9,966,065 | 19 | 22 | 19. The computer readable storage medium of claim 17 , further comprising: before completing the first process, providing a first processing status indicator associated with the first task; and before completing the second process, providing a second processing status indicator associated with the second task. | 19. The computer readable storage medium of claim 17 , further comprising: before completing the first process, providing a first processing status indicator associated with the first task; and before completing the second process, providing a second processing status indicator associated with the second task. 22. The computer readable storage medium of claim 19 , wherein the first processing status indicator and the second processing status indicator comprise one or more of an hourglass, an animation, or a status bar. | 0.939255 |
8,825,639 | 17 | 20 | 17. The computer storage medium of claim 11 , the operations further comprising: determining, from among a plurality of different types or degrees of associations between the members in the member network, a particular type or degree of an association in the member network between the third member and the first member; and ranking the collection of articles responsive to the third search query based on the particular type or degree of the association in the member network between the first member and the third member; wherein providing the third member with information describing the collection of articles responsive to the third search query comprises formatting the information in an arrangement that corresponds to the ranking of the collection of articles responsive to the third search query. | 17. The computer storage medium of claim 11 , the operations further comprising: determining, from among a plurality of different types or degrees of associations between the members in the member network, a particular type or degree of an association in the member network between the third member and the first member; and ranking the collection of articles responsive to the third search query based on the particular type or degree of the association in the member network between the first member and the third member; wherein providing the third member with information describing the collection of articles responsive to the third search query comprises formatting the information in an arrangement that corresponds to the ranking of the collection of articles responsive to the third search query. 20. The computer storage medium of claim 17 , the operations further comprising determining a level of the particular type of association in the member network between the third member and the first member, the level indicating a relative strength of the particular type of association between the third member and the first member; and wherein ranking the collection of articles responsive to the third search query is further based on the level of the particular type of association in the member network between the third member and the first member. | 0.879468 |
9,305,099 | 10 | 11 | 10. The one or more devices of claim 9 , where, when generating the rules for the model, the one or more processors are to obtain the information relating to the links to the plurality of documents, the obtained information including information identifying attributes of the links to the plurality of documents. | 10. The one or more devices of claim 9 , where, when generating the rules for the model, the one or more processors are to obtain the information relating to the links to the plurality of documents, the obtained information including information identifying attributes of the links to the plurality of documents. 11. The one or more devices of claim 10 , where the information identifying the attributes includes at least one of: information identifying of a quantity of words associated with the links to the plurality of documents, or information identifying words associated with the links to the plurality of documents. | 0.92654 |
9,444,935 | 1 | 12 | 1. A computer-implemented method, comprising: generating, by a processor, a plurality of test scripts, a test script from among the plurality of test scripts generated by performing: initiating a voice call interaction with a speech application, the speech application comprising a network of interaction nodes; and repeatedly performing, until a stopping condition is encountered, the steps of: executing the voice call interaction with the speech application by traversing through one or more interaction nodes from among the network of interaction nodes until an interaction node requiring a response is encountered; selecting an utterance generation mode corresponding to the interaction node; determining a response to be provided corresponding to the interaction node of the speech application based on the utterance generation mode; and providing the response to the speech application, wherein the test script comprises instructions for traversing interaction nodes involved during a course of the voice call interaction, and, instructions for provisioning one or more responses to the speech application during the course of the voice call interaction; identifying, by the processor, one or more test scripts from among the plurality of test scripts based on a pre-determined objective; and providing, by the processor, the one or more test scripts to a user for facilitating testing of the speech application. | 1. A computer-implemented method, comprising: generating, by a processor, a plurality of test scripts, a test script from among the plurality of test scripts generated by performing: initiating a voice call interaction with a speech application, the speech application comprising a network of interaction nodes; and repeatedly performing, until a stopping condition is encountered, the steps of: executing the voice call interaction with the speech application by traversing through one or more interaction nodes from among the network of interaction nodes until an interaction node requiring a response is encountered; selecting an utterance generation mode corresponding to the interaction node; determining a response to be provided corresponding to the interaction node of the speech application based on the utterance generation mode; and providing the response to the speech application, wherein the test script comprises instructions for traversing interaction nodes involved during a course of the voice call interaction, and, instructions for provisioning one or more responses to the speech application during the course of the voice call interaction; identifying, by the processor, one or more test scripts from among the plurality of test scripts based on a pre-determined objective; and providing, by the processor, the one or more test scripts to a user for facilitating testing of the speech application. 12. The method of claim 1 , further comprising: intercepting, by the processor, an invoking of an external integration service by the speech application; and tracking, by the processor, an outgoing request from the speech application to the external integration service, and an incoming response from the external integration service to the speech application, upon invoking of the external integration service by the speech application. | 0.666921 |
9,218,811 | 1 | 8 | 1. A method comprising: detecting, by an electronic device, a first speech input; in response to the first speech input, displaying, by the electronic device, a plurality of textual words; detecting, by the electronic device, at least one contactless swipe gesture; determining, by the electronic device, a direction of the at least one contactless swipe gesture; highlighting, by the electronic device, one-by-one for each contactless swipe gesture of the at least one contactless swipe gesture, each textual word, from the plurality of textual words, being displayed along a path of the direction of the at least one contactless swipe gesture; detecting, by the electronic device, a second speech input; and in response to detecting the second speech input, substituting, by the electronic device, a highlighted textual word of the path of the direction of the at least one contactless swipe gesture with a second textual word, wherein the second textual word corresponds to the second speech input. | 1. A method comprising: detecting, by an electronic device, a first speech input; in response to the first speech input, displaying, by the electronic device, a plurality of textual words; detecting, by the electronic device, at least one contactless swipe gesture; determining, by the electronic device, a direction of the at least one contactless swipe gesture; highlighting, by the electronic device, one-by-one for each contactless swipe gesture of the at least one contactless swipe gesture, each textual word, from the plurality of textual words, being displayed along a path of the direction of the at least one contactless swipe gesture; detecting, by the electronic device, a second speech input; and in response to detecting the second speech input, substituting, by the electronic device, a highlighted textual word of the path of the direction of the at least one contactless swipe gesture with a second textual word, wherein the second textual word corresponds to the second speech input. 8. The method of claim 1 , wherein the direction of the at least one contactless swipe gesture is one of a vertical direction, a horizontal direction, or a diagonal direction. | 0.850171 |
9,558,163 | 1 | 4 | 1. A method for accelerated development of a mobile device specific webp age for at least one mobile computing device comprising: a) forming a plurality of data entry screen definitions for the mobile device specific webpage using an administrative processor and storing the plurality of data entry screen definitions in an administrative data storage; b) generating a list of mobile computing devices and specifications for displaying a created mobile device specific webpage and storing the list of mobile computing devices and specifications in the administrative data storage; c) identifying a specific mobile computing device for the mobile device specific webpage from the list of mobile computing devices and specifications; d) automatically generating a plurality of self-generating data entry screens for entering and storing predefined data for use on the mobile device specific webpage and storing the plurality of self-generating data entry screens in the administrative data storage; e) automatically generating hypertext for the mobile device specific webpage using the predefined data; f) bidirectionally controlling communication, data delivery and access permission, to and from one or more third party servers connected to a network to automatically collect, store and maintain data integrity of data processed for the one or more third party servers and maintain consistency of the predefined data collected from the one or more third party servers using the network, collecting the predefined data via the mobile device specific webpage from the one or more third party servers on the network, and updating the predefined data via the mobile device specific webpage to the one or more third party servers on the network simultaneously; g) simultaneously duplicating the predefined data to a hot spare environment and a cold spare environment while maintaining integrity of the predefined data preventing loss of the predefined data; h) enforcing a common stylistic look and feel for use on the mobile device specific webpage and maintaining consistency between additionally developed mobile device specific webpages for the specific mobile computing device using a plurality of common stylistic rules; i) merging the predefined data into a mobile device specific webpage document template automatically and generating the mobile device specific webpage for the specific mobile computing device while storing the generated mobile device specific webpage in the administrative data storage enabling a user or a non-administrative user to create the mobile device specific webpage filled with the predefined data with the plurality of self-generating data entry screen definitions using the plurality of common stylistic rules; and j) transmitting the generated mobile device specific webpage via the network for display on the specific mobile computing device. | 1. A method for accelerated development of a mobile device specific webp age for at least one mobile computing device comprising: a) forming a plurality of data entry screen definitions for the mobile device specific webpage using an administrative processor and storing the plurality of data entry screen definitions in an administrative data storage; b) generating a list of mobile computing devices and specifications for displaying a created mobile device specific webpage and storing the list of mobile computing devices and specifications in the administrative data storage; c) identifying a specific mobile computing device for the mobile device specific webpage from the list of mobile computing devices and specifications; d) automatically generating a plurality of self-generating data entry screens for entering and storing predefined data for use on the mobile device specific webpage and storing the plurality of self-generating data entry screens in the administrative data storage; e) automatically generating hypertext for the mobile device specific webpage using the predefined data; f) bidirectionally controlling communication, data delivery and access permission, to and from one or more third party servers connected to a network to automatically collect, store and maintain data integrity of data processed for the one or more third party servers and maintain consistency of the predefined data collected from the one or more third party servers using the network, collecting the predefined data via the mobile device specific webpage from the one or more third party servers on the network, and updating the predefined data via the mobile device specific webpage to the one or more third party servers on the network simultaneously; g) simultaneously duplicating the predefined data to a hot spare environment and a cold spare environment while maintaining integrity of the predefined data preventing loss of the predefined data; h) enforcing a common stylistic look and feel for use on the mobile device specific webpage and maintaining consistency between additionally developed mobile device specific webpages for the specific mobile computing device using a plurality of common stylistic rules; i) merging the predefined data into a mobile device specific webpage document template automatically and generating the mobile device specific webpage for the specific mobile computing device while storing the generated mobile device specific webpage in the administrative data storage enabling a user or a non-administrative user to create the mobile device specific webpage filled with the predefined data with the plurality of self-generating data entry screen definitions using the plurality of common stylistic rules; and j) transmitting the generated mobile device specific webpage via the network for display on the specific mobile computing device. 4. The method of claim 1 , wherein the network comprises at least one of: a global computer network, a local area network, a wide area network, a global communication system, a satellite network, a cellular network, a computing cloud, or combinations thereof. | 0.880204 |
8,108,193 | 1 | 11 | 1. A method of modeling, the method comprising: managing a plurality of computer-implemented model components, wherein each model component is configured to implement a modeling function using a set of standard execution rules; managing a set of models, wherein each model is configured to simulate a system, and wherein each model includes at least one of the plurality of model components; managing attribute data for each of the set of models and each of the plurality of model components, the attribute data including evaluation data for the corresponding model or model component, wherein the evaluation data comprises at least one metric associated with an effectiveness of the corresponding model or model component, and wherein the at least one metric is based on at least one of: prior user feedback for the corresponding model or model component or third party citations of the corresponding model or model component; obtaining a selected model from a user, wherein the obtaining includes providing the evaluation data for presentation to the user; obtaining initialization data for the selected model; executing the selected model using the initialization data; and storing result data for the model execution. | 1. A method of modeling, the method comprising: managing a plurality of computer-implemented model components, wherein each model component is configured to implement a modeling function using a set of standard execution rules; managing a set of models, wherein each model is configured to simulate a system, and wherein each model includes at least one of the plurality of model components; managing attribute data for each of the set of models and each of the plurality of model components, the attribute data including evaluation data for the corresponding model or model component, wherein the evaluation data comprises at least one metric associated with an effectiveness of the corresponding model or model component, and wherein the at least one metric is based on at least one of: prior user feedback for the corresponding model or model component or third party citations of the corresponding model or model component; obtaining a selected model from a user, wherein the obtaining includes providing the evaluation data for presentation to the user; obtaining initialization data for the selected model; executing the selected model using the initialization data; and storing result data for the model execution. 11. The method of claim 1 , further comprising obtaining payment information for at least one of: the executing or the storing. | 0.879735 |
9,875,245 | 8 | 12 | 8. A system comprising: a computer processor; and a memory containing instructions that, when executed cause the computer processor to: receive data identifying a set of seed content items and a sequential order for the set of seed content items, wherein the set of seed content items includes at least one seed content item included in a first content item playlist, and the sequential order indicates an order in which seed content items from the set of seed content items are ordered to be performed in the first content item playlist; generate a seed content attribute sequence based on attributes of at least a first seed content item of the set of seed content items and the sequential order for the set of seed content items; generate a recommended content attribute sequence that is likely to follow the seed content attribute sequence, the recommended content attribute sequence determined from the seed content attribute sequence and a statistical language model based on an analysis of a set of reference content attribute sequences, wherein the set of reference content attribute sequences were generated from a set of user created content playlists; and select a set of recommended content items to be added to the first content item playlist and performed sequentially after the set of seed content items in a recommended sequential order, the set of recommended content item and the recommended sequential order selected based on content attributes of the set of recommended content items and the recommended content attribute sequence. | 8. A system comprising: a computer processor; and a memory containing instructions that, when executed cause the computer processor to: receive data identifying a set of seed content items and a sequential order for the set of seed content items, wherein the set of seed content items includes at least one seed content item included in a first content item playlist, and the sequential order indicates an order in which seed content items from the set of seed content items are ordered to be performed in the first content item playlist; generate a seed content attribute sequence based on attributes of at least a first seed content item of the set of seed content items and the sequential order for the set of seed content items; generate a recommended content attribute sequence that is likely to follow the seed content attribute sequence, the recommended content attribute sequence determined from the seed content attribute sequence and a statistical language model based on an analysis of a set of reference content attribute sequences, wherein the set of reference content attribute sequences were generated from a set of user created content playlists; and select a set of recommended content items to be added to the first content item playlist and performed sequentially after the set of seed content items in a recommended sequential order, the set of recommended content item and the recommended sequential order selected based on content attributes of the set of recommended content items and the recommended content attribute sequence. 12. The system of claim 8 , wherein the instructions further cause the computer processor to: receive a denial message indicating that a human user has denied at least a first recommended content item of the set of recommended content items; and generate an updated set of recommend content items, the updated set of recommended content item including an updated recommended content item in place of the first recommend content item, wherein the updated content item is not included in the set of recommended content items. | 0.577544 |
10,073,928 | 7 | 9 | 7. A device for analysis of shape optimization, for optimizing a part of a structural body model having a movable portion, by combining a multi-body dynamics analysis and an optimization analysis and using two-dimensional elements or three-dimensional elements, the device comprising a display device and a computer with a central processing unit and memory that: sets, as a design space, a portion to be optimized in the movable portion; generates, in the set design space, an optimization block model formed of three-dimensional elements and is subjected to analysis processing of optimization; connects the generated optimization block model with the structural body model including the movable portion; sets a material property for the optimization block model; sets an optimization analysis condition to determine an optimum shape of the optimization block model; sets a multi-body dynamics analysis condition including a centrifugal force, a reaction force and an inertial force to perform multi-body dynamics analysis on the structural body model including the movable portion with which the optimization block model has been connected; executes, based on the set multi-body dynamics analysis condition, the multi-body dynamics analysis on the structural body model including the movable portion incorporating the optimization block model; executes, based on the set optimization analysis condition, the optimization analysis; and finds the optimum shape of the optimization block model, and utilizes the analysis of shape optimization for configuring optimization of the movable portion of the structural body configured of a thin sheet; wherein the computer generates the optimization block model by: setting nodes in a portion connected with the two-dimensional elements or three-dimensional elements forming the structural body model; and stacking the three-dimensional elements along a plane including the nodes set in the connected portion, and the display device displays the structural body model including the moveable portion based on the optimum shape. | 7. A device for analysis of shape optimization, for optimizing a part of a structural body model having a movable portion, by combining a multi-body dynamics analysis and an optimization analysis and using two-dimensional elements or three-dimensional elements, the device comprising a display device and a computer with a central processing unit and memory that: sets, as a design space, a portion to be optimized in the movable portion; generates, in the set design space, an optimization block model formed of three-dimensional elements and is subjected to analysis processing of optimization; connects the generated optimization block model with the structural body model including the movable portion; sets a material property for the optimization block model; sets an optimization analysis condition to determine an optimum shape of the optimization block model; sets a multi-body dynamics analysis condition including a centrifugal force, a reaction force and an inertial force to perform multi-body dynamics analysis on the structural body model including the movable portion with which the optimization block model has been connected; executes, based on the set multi-body dynamics analysis condition, the multi-body dynamics analysis on the structural body model including the movable portion incorporating the optimization block model; executes, based on the set optimization analysis condition, the optimization analysis; and finds the optimum shape of the optimization block model, and utilizes the analysis of shape optimization for configuring optimization of the movable portion of the structural body configured of a thin sheet; wherein the computer generates the optimization block model by: setting nodes in a portion connected with the two-dimensional elements or three-dimensional elements forming the structural body model; and stacking the three-dimensional elements along a plane including the nodes set in the connected portion, and the display device displays the structural body model including the moveable portion based on the optimum shape. 9. The device for analysis of shape optimization according to claim 7 , wherein, at a time a part where the optimization block model has been connected in the structural body model is formed of two-dimensional elements, the computer sets a Young's modulus in the three-dimensional elements of the optimization block model lower than a Young's modulus in the two-dimensional elements. | 0.704019 |
8,498,859 | 17 | 19 | 17. The system according to claim 15 , the virtual realization module comprising an anticipation module, wherein the anticipation module anticipates consequences of actions and events contained in the reconstructed meaning of said linguistically provided information in consideration of world knowledge contained in a world knowledge module, which is part of the knowledge base, by using an appropriate anticipation routine. | 17. The system according to claim 15 , the virtual realization module comprising an anticipation module, wherein the anticipation module anticipates consequences of actions and events contained in the reconstructed meaning of said linguistically provided information in consideration of world knowledge contained in a world knowledge module, which is part of the knowledge base, by using an appropriate anticipation routine. 19. The system according to claim 17 , comprising a feedback module, wherein anticipated subsequent events are conveyed to the feedback module, which brings them to the attention of a user of the system. | 0.965894 |
9,792,356 | 6 | 13 | 6. An apparatus, comprising: a processor configured to: extract information from unstructured personal textual data and structured data of a plurality of heterogeneous network sources of data of a personal data cloud of a user, wherein said extraction includes processing at least a portion of the unstructured personal textual data based on an analysis of at least a portion of the structured data; construct, using automated semantic analysis that includes one or both of automatic clustering and tagging operations, a semantically indexed, integrated knowledge store for storage and future retrieval of the extracted information, the semantically indexed, integrated knowledge store including information derived algorithmically from the unstructured personal textual data and the structured data; identify a natural language user request from the user; determine a semantic interpretation of the natural language user request, wherein the determination of the semantic interpretation includes referencing a stored ontology that defines a semantic relationship among a set of personal data terminology; query the semantically-indexed, integrated knowledge store based at least in part on the semantic interpretation; and respond to the natural language user request by displaying one or more results of the query of the semantically-indexed, integrated knowledge store, wherein the one or more results correspond to at least one item within the personal data cloud. | 6. An apparatus, comprising: a processor configured to: extract information from unstructured personal textual data and structured data of a plurality of heterogeneous network sources of data of a personal data cloud of a user, wherein said extraction includes processing at least a portion of the unstructured personal textual data based on an analysis of at least a portion of the structured data; construct, using automated semantic analysis that includes one or both of automatic clustering and tagging operations, a semantically indexed, integrated knowledge store for storage and future retrieval of the extracted information, the semantically indexed, integrated knowledge store including information derived algorithmically from the unstructured personal textual data and the structured data; identify a natural language user request from the user; determine a semantic interpretation of the natural language user request, wherein the determination of the semantic interpretation includes referencing a stored ontology that defines a semantic relationship among a set of personal data terminology; query the semantically-indexed, integrated knowledge store based at least in part on the semantic interpretation; and respond to the natural language user request by displaying one or more results of the query of the semantically-indexed, integrated knowledge store, wherein the one or more results correspond to at least one item within the personal data cloud. 13. The apparatus of claim 6 , wherein the natural language user request includes a natural language query, a natural language command, or both. | 0.852459 |
8,204,891 | 5 | 8 | 5. A concept-service component of a content-search-service system for searching a content item having an audio track, the concept-service component comprising: a hardware processor configured to: receive, as input, a content ID and search query, wherein the content ID uniquely identifies the content item; use the content ID to retrieve a category ID, ontology, vocabulary, and a transcript, wherein: the category ID relates to a subject matter of the content item, and the transcript includes a textual rendering of the audio track; receive a search query and corrects and linguistically normalizes terms or phrases within the search query; and use the linguistically normalized terms and phrases to process the transcript to assign ontology-based scores to terms or phrases in the transcript using a transcript scorer; and a memory coupled with the processor, wherein the transcript scorer: prepares a list of term/ontology-metric pairs for each term or phrase in the linguistically normalized terms or phrases of the search query; and for each term or phrase in the transcript, associates a score with the term or phrase based on co-occurrence-metrics in the prepared lists of term/ontology-metric pairs, and wherein the transcript-scorer, for each currently considered term or phrase in the transcript, associates a score with the term or phrase based on co-occurrence-metrics in the prepared lists of term/ontology-metric pairs by: identifying each entry in each list of term/ontology-metric pairs in which the ontology that includes the currently considered term or phrase; when two or more entries are identified, adding the co-occurrence metrics of the identified entries together and computing a score from the sum; when one entry is identified, using the co-occurrence metric in the identified entry as the score; and associating the score with the currently considered term or phrase. | 5. A concept-service component of a content-search-service system for searching a content item having an audio track, the concept-service component comprising: a hardware processor configured to: receive, as input, a content ID and search query, wherein the content ID uniquely identifies the content item; use the content ID to retrieve a category ID, ontology, vocabulary, and a transcript, wherein: the category ID relates to a subject matter of the content item, and the transcript includes a textual rendering of the audio track; receive a search query and corrects and linguistically normalizes terms or phrases within the search query; and use the linguistically normalized terms and phrases to process the transcript to assign ontology-based scores to terms or phrases in the transcript using a transcript scorer; and a memory coupled with the processor, wherein the transcript scorer: prepares a list of term/ontology-metric pairs for each term or phrase in the linguistically normalized terms or phrases of the search query; and for each term or phrase in the transcript, associates a score with the term or phrase based on co-occurrence-metrics in the prepared lists of term/ontology-metric pairs, and wherein the transcript-scorer, for each currently considered term or phrase in the transcript, associates a score with the term or phrase based on co-occurrence-metrics in the prepared lists of term/ontology-metric pairs by: identifying each entry in each list of term/ontology-metric pairs in which the ontology that includes the currently considered term or phrase; when two or more entries are identified, adding the co-occurrence metrics of the identified entries together and computing a score from the sum; when one entry is identified, using the co-occurrence metric in the identified entry as the score; and associating the score with the currently considered term or phrase. 8. The concept-service component of claim 5 wherein the hardware processor is further configured to: apply language rules and dictionary-based routines to the terms or phrases within the received search query to correct spellings of any misspelled terms in the search query; apply language routines to normalize the terms or phrases within the received search query by changing plural forms to corresponding singular forms and replacing derivative terms with root forms of the derivative terms; and filter from the search query terms that do not occur in the received vocabulary. | 0.500862 |
8,370,328 | 22 | 40 | 22. An apparatus for creating an electronic database of disambiguated entity mentions from a corpus of electronic documents, comprising: a microprocessor; a data harvesting module comprising program instructions that, when executed by microprocessor, will cause the microprocessor to automatically extract entity mentions from the corpus of electronic documents and parse the entity mentions to produce one or more mention objects; a mention group creation module comprising program instructions that, when executed by microprocessor, will cause the microprocessor to automatically create one or more mention groups by automatically grouping mention objects together according to a distinguishing attribute common to a given class of mention objects; a collection of comparison modules having program instructions that, when executed by microprocessor, will cause the microprocessor to automatically (i) compare every mention object in a selected mention group with every other mention object in the selected mention group to produce a collection of comparison algorithm scores for every pair of mention objects in the selected mention group, and (ii) generate an overall confidence score for every pair of mention objects in the selected mention group based on the collection of comparison algorithm scores for said every pair; and an entity object creation module having program instructions that, when executed by microprocessor, will cause the microprocessor to automatically create in the electronic database one or more new entity objects for the selected mention group by automatically (i) grouping together mention objects with other mention objects, based on the confidence scores of each pair of mention objects and a specified confidence threshold, wherein pairs of mention objects having a confidence score greater than or equal to the specified threshold are assigned to the same new entity object, and (ii) merging previously-created entity objects with other previously-created entity objects, based on the confidence scores of each pair of entity objects, and a specified confidence threshold, wherein pairs of entity objects having a confidence score greater than or equal to the specified threshold are assigned to the same new entity object. | 22. An apparatus for creating an electronic database of disambiguated entity mentions from a corpus of electronic documents, comprising: a microprocessor; a data harvesting module comprising program instructions that, when executed by microprocessor, will cause the microprocessor to automatically extract entity mentions from the corpus of electronic documents and parse the entity mentions to produce one or more mention objects; a mention group creation module comprising program instructions that, when executed by microprocessor, will cause the microprocessor to automatically create one or more mention groups by automatically grouping mention objects together according to a distinguishing attribute common to a given class of mention objects; a collection of comparison modules having program instructions that, when executed by microprocessor, will cause the microprocessor to automatically (i) compare every mention object in a selected mention group with every other mention object in the selected mention group to produce a collection of comparison algorithm scores for every pair of mention objects in the selected mention group, and (ii) generate an overall confidence score for every pair of mention objects in the selected mention group based on the collection of comparison algorithm scores for said every pair; and an entity object creation module having program instructions that, when executed by microprocessor, will cause the microprocessor to automatically create in the electronic database one or more new entity objects for the selected mention group by automatically (i) grouping together mention objects with other mention objects, based on the confidence scores of each pair of mention objects and a specified confidence threshold, wherein pairs of mention objects having a confidence score greater than or equal to the specified threshold are assigned to the same new entity object, and (ii) merging previously-created entity objects with other previously-created entity objects, based on the confidence scores of each pair of entity objects, and a specified confidence threshold, wherein pairs of entity objects having a confidence score greater than or equal to the specified threshold are assigned to the same new entity object. 40. The apparatus of claim 22 , wherein the corpus of electronic documents comprises an electronic database of patents. | 0.906447 |
7,904,461 | 1 | 32 | 1. A method implemented by a computer system, the method comprising: generating, by the computer system, a set of content-based keywords based on content generated by users of a social network, wherein users are represented by nodes in a graph that represents the social network; labeling, by the computer system, nodes comprising the user nodes with advertising labels comprising content-based keywords from the set of content-based keywords that coincide with advertiser-selected keywords, wherein the advertiser-selected keywords are based on one or more terms specified by an advertiser; and outputting, by the computer system for each respective node, weights for the advertising labels which are determined from weights of the advertising labels associated with neighboring nodes that are related to the respective node by a relationship, each weight expressing a magnitude of a contribution of an associated advertising label to a characterization of the respective node. | 1. A method implemented by a computer system, the method comprising: generating, by the computer system, a set of content-based keywords based on content generated by users of a social network, wherein users are represented by nodes in a graph that represents the social network; labeling, by the computer system, nodes comprising the user nodes with advertising labels comprising content-based keywords from the set of content-based keywords that coincide with advertiser-selected keywords, wherein the advertiser-selected keywords are based on one or more terms specified by an advertiser; and outputting, by the computer system for each respective node, weights for the advertising labels which are determined from weights of the advertising labels associated with neighboring nodes that are related to the respective node by a relationship, each weight expressing a magnitude of a contribution of an associated advertising label to a characterization of the respective node. 32. The method of claim 1 , further comprising determining the node's weight for the advertising label by selecting each neighboring node and adding the weights of the neighboring nodes' advertising labels to the node's weight for the advertising label. | 0.623512 |
9,292,658 | 16 | 19 | 16. A computer program product comprising program code stored on a non-transitory computer-readable medium, which when executed by at least one computing device, enables the at least one computing device to implement a method of providing a confidence-estimation-based inference by performing actions including: receiving a query concerning a patient from a user; accessing an electronic health record (EHR) for the patient, the EHR including a first component regarding the patient; querying the user, using a conversational interface, for a second component regarding the patient, the second component being in a natural language information form; receiving the second component regarding the patient in response to the query; storing the received second component in the EHR; calculating a first probability density function using the first component, and a second probability density function using the second component; combining the first and second probability density functions using a Gaussian mixture model; calculating at least one conditional probability table using the Gaussian mixture model; and providing the confidence-estimation-based inference based on the at least one conditional probability table. | 16. A computer program product comprising program code stored on a non-transitory computer-readable medium, which when executed by at least one computing device, enables the at least one computing device to implement a method of providing a confidence-estimation-based inference by performing actions including: receiving a query concerning a patient from a user; accessing an electronic health record (EHR) for the patient, the EHR including a first component regarding the patient; querying the user, using a conversational interface, for a second component regarding the patient, the second component being in a natural language information form; receiving the second component regarding the patient in response to the query; storing the received second component in the EHR; calculating a first probability density function using the first component, and a second probability density function using the second component; combining the first and second probability density functions using a Gaussian mixture model; calculating at least one conditional probability table using the Gaussian mixture model; and providing the confidence-estimation-based inference based on the at least one conditional probability table. 19. The computer program product of claim 16 , further comprising; extracting at least one feature from the natural language information by applying a natural language processing (NLP) algorithm to the natural language information; and extracting at least one feature from a multimedia datum from the EHR by a feature extraction module. | 0.817787 |
7,831,582 | 1 | 15 | 1. A computer-implemented method, comprising: identifying a result set including one or more of a plurality of online content sources, wherein each of the included one or more online content sources satisfies a keyword query including one or more keywords; for a given one of the online content sources included in said result set, identifying and generating corresponding representations of one or more aggregate paths including said given online content source, wherein each of the one or more aggregate paths includes one or more navigation paths among said plurality of online content sources, wherein each of the one or more navigation paths is indicative of an access request by one or more users that originates from a corresponding originating one of said online content sources to access a corresponding destination one of said online content sources, wherein each such access request indicated by a navigation path occurs prior to generating representations of said one or more aggregate paths, wherein a representation of a given one of said one or more aggregate paths is indicative of multiple ones of said online content sources; detecting a selection of a particular online content source from one of said identified aggregate paths, wherein prior to said detecting, said particular online content source does not satisfy said keyword query; and in response to detecting said selection of said particular online content source, associating said one or more keywords included in said keyword query with said particular online content source, such that after said associating, said particular online content source satisfies said keyword query; wherein each of said identifying a result set, said identifying and generating corresponding representations, said detecting a selection, and said associating said one or more keywords is performed by one or more computer systems, each comprising at least a memory and a processor. | 1. A computer-implemented method, comprising: identifying a result set including one or more of a plurality of online content sources, wherein each of the included one or more online content sources satisfies a keyword query including one or more keywords; for a given one of the online content sources included in said result set, identifying and generating corresponding representations of one or more aggregate paths including said given online content source, wherein each of the one or more aggregate paths includes one or more navigation paths among said plurality of online content sources, wherein each of the one or more navigation paths is indicative of an access request by one or more users that originates from a corresponding originating one of said online content sources to access a corresponding destination one of said online content sources, wherein each such access request indicated by a navigation path occurs prior to generating representations of said one or more aggregate paths, wherein a representation of a given one of said one or more aggregate paths is indicative of multiple ones of said online content sources; detecting a selection of a particular online content source from one of said identified aggregate paths, wherein prior to said detecting, said particular online content source does not satisfy said keyword query; and in response to detecting said selection of said particular online content source, associating said one or more keywords included in said keyword query with said particular online content source, such that after said associating, said particular online content source satisfies said keyword query; wherein each of said identifying a result set, said identifying and generating corresponding representations, said detecting a selection, and said associating said one or more keywords is performed by one or more computer systems, each comprising at least a memory and a processor. 15. The method as recited in claim 1 , wherein said keyword query is specified by a user. | 0.951735 |
7,899,764 | 16 | 18 | 16. A system for use of a medical ontology for computer assisted clinical decision support, the system comprising: a memory operable to store a machine-learnt algorithm, the machine-learnt algorithm integrating a multi-level medical ontology, the multi-level medical ontology having a hierarchal node structure defining relative contribution of features at different levels of the multi-level medical ontology; and a processor operable to apply the machine-learnt algorithm to a medical record of a patient. | 16. A system for use of a medical ontology for computer assisted clinical decision support, the system comprising: a memory operable to store a machine-learnt algorithm, the machine-learnt algorithm integrating a multi-level medical ontology, the multi-level medical ontology having a hierarchal node structure defining relative contribution of features at different levels of the multi-level medical ontology; and a processor operable to apply the machine-learnt algorithm to a medical record of a patient. 18. The system of claim 16 wherein the multi-level medical ontology includes features with common semantics for a first type of node and second types of nodes connected with at least a first type of node, and wherein the processor is operable to aggregate a contribution of the features for each of the first types of nodes, and aggregate a contribution of the contributions of the first types of nodes for each of the second types of nodes. | 0.604129 |
8,395,966 | 4 | 5 | 4. A method comprising: obtaining seismic data acquired by seismic sensors of a composite seismic signal produced by the firings of multiple seismic sources; for at least one of the seismic sources, defining a source model for a plurality of data gathers; modeling the seismic data based at least in part on the source model and at least one linear operator; for the at least one seismic source, defining at least one constraint specifying a relationship of at least two of the data gathers relative to each other; jointly determining the source model based at least in part on the modeling and the at least one constraint; and based at least in part on the determined source model, generating a dataset representing a component of the composite seismic signal attributable to one of the seismic sources. | 4. A method comprising: obtaining seismic data acquired by seismic sensors of a composite seismic signal produced by the firings of multiple seismic sources; for at least one of the seismic sources, defining a source model for a plurality of data gathers; modeling the seismic data based at least in part on the source model and at least one linear operator; for the at least one seismic source, defining at least one constraint specifying a relationship of at least two of the data gathers relative to each other; jointly determining the source model based at least in part on the modeling and the at least one constraint; and based at least in part on the determined source model, generating a dataset representing a component of the composite seismic signal attributable to one of the seismic sources. 5. The method of claim 4 , wherein the act of jointly determining comprises jointly inverting the function for the model. | 0.683246 |
7,797,673 | 41 | 42 | 41. The storage of claim 29 , wherein the coding standard is a software coding standard. | 41. The storage of claim 29 , wherein the coding standard is a software coding standard. 42. The storage of claim 41 , wherein the software coding standard is MISRA-C. | 0.962928 |
10,133,729 | 8 | 9 | 8. A computer-implemented method comprising: receiving a query comprising one or more words; computing a vector for individual words of the one or more words; determining an initial hidden vector corresponding to a semantic representation of the query; mapping, using mapping software, the one or more words of the query based on the initial hidden vector, wherein the mapping is rendered sequentially; matching the semantic representation of the query, represented in the initial hidden vector, to a semantic representation corresponding to one or more responses; providing, in a user interface, the one or more responses based at least in part on the matching, the user interface indicating a semantic similarity between the query and the one or more responses; receiving click-through data associated with the one or more responses, the click-through data identifying a response from among the one or more responses as a positive match; and training the mapping software based at least in part on the click-through data. | 8. A computer-implemented method comprising: receiving a query comprising one or more words; computing a vector for individual words of the one or more words; determining an initial hidden vector corresponding to a semantic representation of the query; mapping, using mapping software, the one or more words of the query based on the initial hidden vector, wherein the mapping is rendered sequentially; matching the semantic representation of the query, represented in the initial hidden vector, to a semantic representation corresponding to one or more responses; providing, in a user interface, the one or more responses based at least in part on the matching, the user interface indicating a semantic similarity between the query and the one or more responses; receiving click-through data associated with the one or more responses, the click-through data identifying a response from among the one or more responses as a positive match; and training the mapping software based at least in part on the click-through data. 9. The method of claim 8 , the sequential mapping further comprising: applying a first parameter to a first vector to calculate a new word value, the first vector corresponding to a first word; applying a second parameter to the initial hidden vector to calculate an initial hidden vector value; combining the new word value and the initial hidden vector value into a hidden vector. | 0.776347 |
8,290,910 | 6 | 10 | 6. A computer program product for replicating IP address assignment changes in a distributed database having a plurality of nodes, the computer program product being embodied in a computer readable medium and comprising computer instructions for: receiving a semantic command at a first node having a first local version of the database, wherein the semantic command comprises a semantically expressed request to modify one or more IP address assignments in the database that allows for provisional modification of the first local version of the database before sending the semantic command to a master node having a master version of the database, and wherein the semantic command is defined by one or more instructions or operations; interpreting the semantic command; provisionally applying the semantic command to the first local version of the database before sending the semantic command to the master node; sending the semantic command to the master node to reconcile the semantic command with the master version of the database based on any IP address assignment changes associated with the semantic command; and reconciling the semantic command with the master version of the database, wherein reconciling the semantic command with the master version of the database includes determining whether the semantic command includes any IP address assignment changes that would result in an IP address assignment conflict with IP address assignment data stored in the master version of the database on the master node. | 6. A computer program product for replicating IP address assignment changes in a distributed database having a plurality of nodes, the computer program product being embodied in a computer readable medium and comprising computer instructions for: receiving a semantic command at a first node having a first local version of the database, wherein the semantic command comprises a semantically expressed request to modify one or more IP address assignments in the database that allows for provisional modification of the first local version of the database before sending the semantic command to a master node having a master version of the database, and wherein the semantic command is defined by one or more instructions or operations; interpreting the semantic command; provisionally applying the semantic command to the first local version of the database before sending the semantic command to the master node; sending the semantic command to the master node to reconcile the semantic command with the master version of the database based on any IP address assignment changes associated with the semantic command; and reconciling the semantic command with the master version of the database, wherein reconciling the semantic command with the master version of the database includes determining whether the semantic command includes any IP address assignment changes that would result in an IP address assignment conflict with IP address assignment data stored in the master version of the database on the master node. 10. A computer program product as recited in claim 6 , the computer program product further comprising computer instructions for translating the semantic command into a set of one or more semantic commands wherein the semantic command has a meaning in a first context that is characteristic of a first node and wherein the set of commands has a meaning in a second context that is characteristic of a second node. | 0.501208 |
8,346,759 | 19 | 22 | 19. An article of manufacture comprising at least one of a hardware device implementing logic and a computer storage media having computer executable code to cause operations to be performed, the operations comprising: accessing document identifiers for documents, wherein the documents include at least one value that is a member of a set of values; generating a number of posting lists, wherein each posting list is associated with a range of consecutive values within the set of values and includes document identifiers for documents including at least one value within the range of consecutive values associated with the posting list, and wherein each document identifier is associated with one value in the set of values included in the document identified by the document identifier; storing the generated posting lists, wherein the posting lists are used to process a query on a range of values within the set of values; receiving a query on a query range of values within the set of values; determining a minimum number of posting lists associated with consecutive values that together include the query range of values; merging the determined posting lists to form a merged posting list including document identifiers of documents including values within the query range; and returning the document identifiers in the merged posting list. | 19. An article of manufacture comprising at least one of a hardware device implementing logic and a computer storage media having computer executable code to cause operations to be performed, the operations comprising: accessing document identifiers for documents, wherein the documents include at least one value that is a member of a set of values; generating a number of posting lists, wherein each posting list is associated with a range of consecutive values within the set of values and includes document identifiers for documents including at least one value within the range of consecutive values associated with the posting list, and wherein each document identifier is associated with one value in the set of values included in the document identified by the document identifier; storing the generated posting lists, wherein the posting lists are used to process a query on a range of values within the set of values; receiving a query on a query range of values within the set of values; determining a minimum number of posting lists associated with consecutive values that together include the query range of values; merging the determined posting lists to form a merged posting list including document identifiers of documents including values within the query range; and returning the document identifiers in the merged posting list. 22. The article of manufacture of claim 19 , wherein determining the minimum number of posting lists comprises determining a minimum number of posting lists including values outside of the query range of values that are filtered before merging the posting lists. | 0.883348 |
8,184,022 | 1 | 2 | 1. A method of enabling input on a handheld electronic device, the handheld electronic device including an input apparatus, an output apparatus, and a linguistic source stored on a memory, the input apparatus having a number of keys, including one or more keys each having at least one non-diacritical version of a linguistic element assigned thereto and at least one diacritical version of the linguistic element assigned thereto, the method comprising: detecting selection of one of the keys; based at least in part on the detection of the key selection, determining whether to output (i) a non-diacritical version of a linguistic element assigned to the selected key or (ii) a diacritical version of the linguistic element assigned to the selected key in response to the selection, the determination comprising: determining whether the selection corresponds to a first alphanumeric input for the enabled input, based upon a determination that the selection corresponds to the first alphanumeric input for the enabled input, determining to output the non-diacritical version of the linguistic element assigned to the selected key, and based upon a determination that there have been previous alphanumeric inputs for the enabled input, determining whether to output the non-diacritical version or the diacritical version of the linguistic element based on whether the previous alphanumeric inputs satisfy a predetermined condition; and outputting the determined output using the output apparatus. | 1. A method of enabling input on a handheld electronic device, the handheld electronic device including an input apparatus, an output apparatus, and a linguistic source stored on a memory, the input apparatus having a number of keys, including one or more keys each having at least one non-diacritical version of a linguistic element assigned thereto and at least one diacritical version of the linguistic element assigned thereto, the method comprising: detecting selection of one of the keys; based at least in part on the detection of the key selection, determining whether to output (i) a non-diacritical version of a linguistic element assigned to the selected key or (ii) a diacritical version of the linguistic element assigned to the selected key in response to the selection, the determination comprising: determining whether the selection corresponds to a first alphanumeric input for the enabled input, based upon a determination that the selection corresponds to the first alphanumeric input for the enabled input, determining to output the non-diacritical version of the linguistic element assigned to the selected key, and based upon a determination that there have been previous alphanumeric inputs for the enabled input, determining whether to output the non-diacritical version or the diacritical version of the linguistic element based on whether the previous alphanumeric inputs satisfy a predetermined condition; and outputting the determined output using the output apparatus. 2. The method according to claim 1 , further comprising: detecting a number of additional key selections and, responsive thereto, updating the determined output based on the detected number of additional key selections. | 0.787791 |
8,645,421 | 16 | 19 | 16. The system of claim 15 , wherein the operations further include: using the mapping table to recreate the attribute hierarchy when a significant change occurs in the physical hierarchy or the attribute hierarchy. | 16. The system of claim 15 , wherein the operations further include: using the mapping table to recreate the attribute hierarchy when a significant change occurs in the physical hierarchy or the attribute hierarchy. 19. The system of claim 16 , wherein the mapping table identifies each new level in the attribute hierarchy. | 0.972878 |
8,666,739 | 8 | 13 | 8. A method for estimating a language model weight, the method comprising: receiving a speech feature vector converted from a speech signal, performing a first search by applying a first language model to the received speech feature vector, and outputting a word lattice and a first acoustic score of the word lattice as a continuous speech recognition result; outputting a second acoustic score as a phoneme recognition result by applying an acoustic model to the speech feature vector; comparing the first acoustic score of the continuous speech recognition result with the second acoustic score of the phoneme recognition result; outputting a first language model weight when the first acoustic score of the continuous speech recognition result is better than the second acoustic score of the phoneme recognition result; and performing a second search by applying a second language model weight, which is the same as the output first language model, to the word lattice. | 8. A method for estimating a language model weight, the method comprising: receiving a speech feature vector converted from a speech signal, performing a first search by applying a first language model to the received speech feature vector, and outputting a word lattice and a first acoustic score of the word lattice as a continuous speech recognition result; outputting a second acoustic score as a phoneme recognition result by applying an acoustic model to the speech feature vector; comparing the first acoustic score of the continuous speech recognition result with the second acoustic score of the phoneme recognition result; outputting a first language model weight when the first acoustic score of the continuous speech recognition result is better than the second acoustic score of the phoneme recognition result; and performing a second search by applying a second language model weight, which is the same as the output first language model, to the word lattice. 13. The method of claim 8 , wherein the word lattice is obtained by defining a plurality of word combinations searched by the first search as information about connections between words. | 0.837979 |
7,885,844 | 34 | 39 | 34. A non-transitory computer-readable medium whose stored contents configure a computing device to facilitate performance by task performers of tasks from task requesters, by performing a method comprising: obtaining information about a task performer; receiving indications of one or more available tasks supplied by one or more task requesters; automatically identifying at least one of the available tasks as being preferred for the task performer based at least in part on an analysis of the obtained information about the task performer and on information about the identified tasks, the obtained information about the task performer including information about at least some prior activities of the task performer, the automatic identifying being performed by the configured computing device and being further based at least in part on weighting the prior activities of the task performer based on recency of the prior activities, such that a first prior activity of the task performer has a greater impact on the identifying than does a second prior activity of the task performer if the first prior activity occurred more recently than the second prior activity; and providing one or more indications to the task performer of at least one of the identified tasks. | 34. A non-transitory computer-readable medium whose stored contents configure a computing device to facilitate performance by task performers of tasks from task requesters, by performing a method comprising: obtaining information about a task performer; receiving indications of one or more available tasks supplied by one or more task requesters; automatically identifying at least one of the available tasks as being preferred for the task performer based at least in part on an analysis of the obtained information about the task performer and on information about the identified tasks, the obtained information about the task performer including information about at least some prior activities of the task performer, the automatic identifying being performed by the configured computing device and being further based at least in part on weighting the prior activities of the task performer based on recency of the prior activities, such that a first prior activity of the task performer has a greater impact on the identifying than does a second prior activity of the task performer if the first prior activity occurred more recently than the second prior activity; and providing one or more indications to the task performer of at least one of the identified tasks. 39. The non-transitory computer-readable medium of claim 34 wherein the computer-readable medium is a memory of the configured computing device. | 0.961018 |
4,453,217 | 3 | 4 | 3. The invention set forth in claim 2 further comprising the step of identifying directory strings of characters where matches occur. | 3. The invention set forth in claim 2 further comprising the step of identifying directory strings of characters where matches occur. 4. The invention set forth in claim 3 wherein said method further includes the step of utilizing said identified character strings one string at a time dependent upon the number of mismatched characters between said directory character string and said presented character string. | 0.854384 |
9,286,061 | 14 | 19 | 14. A computing device comprising: at least one memory; at least one processor in communication with the at least one memory; and executable instructions stored on the at least one memory and executed on the at least one processor, to cause the computing device to: cause a document to be displayed in a documentation display area of a user interface; cause a plurality of macros to be displayed in a macro display area of the user interface that is adjacent to the documentation display area, individual ones of the plurality of macros being configured to launch different external components within a launched external component display area of the user interface for accessing different types of external medical data; determine an identifier associated with the document; receive, within the macro display area, a selection that activates a macro of the plurality of macros; launch, based at least in part on the selection, an external component within the launched external component display area of the user interface while the document is being displayed in the documentation display area of the user interface, the launched external component display area being presented contemporaneously with the documentation display area and the macro display area; provide component-specific context data of the document to the launched external component; access, by the launched external component and based at least in part on the component-specific context data, external medical data of a particular type from an external computing device, the external medical data being associated with a user identified by the identifier; cause the accessed external medical data of the particular type to be displayed within the launched external component display area of the user interface; process user interactions associated with the accessed external medical data displayed within the launched external component display area, the user interactions modifying the accessed external medical data to produce modified external medical data; capture a message sent from the launched external component to the external computing device, the message including at least a portion of the modified external medical data; and automatically render a portion of the document displayed in the documentation display area based at least in part on the portion of the modified external medical data included in the captured message. | 14. A computing device comprising: at least one memory; at least one processor in communication with the at least one memory; and executable instructions stored on the at least one memory and executed on the at least one processor, to cause the computing device to: cause a document to be displayed in a documentation display area of a user interface; cause a plurality of macros to be displayed in a macro display area of the user interface that is adjacent to the documentation display area, individual ones of the plurality of macros being configured to launch different external components within a launched external component display area of the user interface for accessing different types of external medical data; determine an identifier associated with the document; receive, within the macro display area, a selection that activates a macro of the plurality of macros; launch, based at least in part on the selection, an external component within the launched external component display area of the user interface while the document is being displayed in the documentation display area of the user interface, the launched external component display area being presented contemporaneously with the documentation display area and the macro display area; provide component-specific context data of the document to the launched external component; access, by the launched external component and based at least in part on the component-specific context data, external medical data of a particular type from an external computing device, the external medical data being associated with a user identified by the identifier; cause the accessed external medical data of the particular type to be displayed within the launched external component display area of the user interface; process user interactions associated with the accessed external medical data displayed within the launched external component display area, the user interactions modifying the accessed external medical data to produce modified external medical data; capture a message sent from the launched external component to the external computing device, the message including at least a portion of the modified external medical data; and automatically render a portion of the document displayed in the documentation display area based at least in part on the portion of the modified external medical data included in the captured message. 19. The computing device according to claim 14 , wherein: the launched external component comprises a third party component; and the launched external component display area comprises a pop-up window within the user interface that enables the portion of the modified external medical data to be automatically rendered within the portion of the document. | 0.690893 |
9,721,031 | 5 | 10 | 5. A computer-implemented method, comprising: displaying, using a device, a first page of content associated with a first layout, the first page including a first amount of content; selecting first content included in the first page; associating the first content with a first bookmark; storing the first bookmark and a first word location of the first content associated with the bookmark; determining to switch from the first layout to a second layout; identifying a section break indicating a beginning of a current section, the current section including the first page; determining the second layout of the current section; and displaying a second page of content in a manner to emphasize the first content relative to other content displayed with the first content, for a predetermined period of time, the second page of content associated with the second layout and including a second amount of content that is different from the first amount of content. | 5. A computer-implemented method, comprising: displaying, using a device, a first page of content associated with a first layout, the first page including a first amount of content; selecting first content included in the first page; associating the first content with a first bookmark; storing the first bookmark and a first word location of the first content associated with the bookmark; determining to switch from the first layout to a second layout; identifying a section break indicating a beginning of a current section, the current section including the first page; determining the second layout of the current section; and displaying a second page of content in a manner to emphasize the first content relative to other content displayed with the first content, for a predetermined period of time, the second page of content associated with the second layout and including a second amount of content that is different from the first amount of content. 10. The computer-implemented method of claim 5 , further comprising: identifying a change in layout of a current section including the first page; identifying a section break indicating a beginning of the current section; determining a new layout of the current section; and displaying a second page using the new layout in a manner to emphasize the first content. | 0.766367 |
5,493,502 | 3 | 13 | 3. A method of operating a numerical control unit that is responsive to an instructed feedrate for controlling a machine tool to move along linear axes in a spatial coordinate system and rotate about one or more of said linear axes, said numerical control unit being operative to automatically control machining of a workpiece, said method comprising the steps of: determining whether a machining mode is a linear interpolation mode; determining whether a move command is for rotating said machine tool about a selected one of said linear axes if said machining mode is a linear interpolation model said selected one of said linear axes thereby becoming an axis of rotation; determining a radial distance between a tool starting position and the center of the axis of rotation if said move command is for rotating said machine tool about said axis of rotation; correcting said instructed feedrate according to said radial distance to provide a corrected feedrate equal to the relative speed of the tool and workpiece; and machining the workpiece by rotating said machine tool about said axis of rotation at said corrected feedrate. | 3. A method of operating a numerical control unit that is responsive to an instructed feedrate for controlling a machine tool to move along linear axes in a spatial coordinate system and rotate about one or more of said linear axes, said numerical control unit being operative to automatically control machining of a workpiece, said method comprising the steps of: determining whether a machining mode is a linear interpolation mode; determining whether a move command is for rotating said machine tool about a selected one of said linear axes if said machining mode is a linear interpolation model said selected one of said linear axes thereby becoming an axis of rotation; determining a radial distance between a tool starting position and the center of the axis of rotation if said move command is for rotating said machine tool about said axis of rotation; correcting said instructed feedrate according to said radial distance to provide a corrected feedrate equal to the relative speed of the tool and workpiece; and machining the workpiece by rotating said machine tool about said axis of rotation at said corrected feedrate. 13. A method as claimed in claim 3, wherein said corrected feedrate is represented by Fo and defined by the following equation: ##EQU17## wherein: F is the instructed feedrate; and r is the radial distance. | 0.8 |
4,859,091 | 4 | 5 | 4. A word processor according to claim 1, further comprising: erasure instruction means for instructing erasure of a character on said display means; insertion instruction means for instructing insertion of a character on said display means; and program memory means for storing an erasure process program for executing a character erasure process on said display means in respone to an instruction by said erasure instruction means and an insertion process program for executing a character insertion process on said display means in response to an instruction by said insertion instruction means; wherein said display control means controls said display means using both the erasure process program and the insertion process program upon display of one of the plurality of candidate correct words. | 4. A word processor according to claim 1, further comprising: erasure instruction means for instructing erasure of a character on said display means; insertion instruction means for instructing insertion of a character on said display means; and program memory means for storing an erasure process program for executing a character erasure process on said display means in respone to an instruction by said erasure instruction means and an insertion process program for executing a character insertion process on said display means in response to an instruction by said insertion instruction means; wherein said display control means controls said display means using both the erasure process program and the insertion process program upon display of one of the plurality of candidate correct words. 5. A word processor according to claim 4, wherein said program memory means stores a candidate correct word display program including the erasure process program and the insertion process program. | 0.861972 |
7,688,317 | 4 | 6 | 4. The method of claim 2 , further comprising applying the picture to a model representing the three-dimensional text. | 4. The method of claim 2 , further comprising applying the picture to a model representing the three-dimensional text. 6. The method of claim 4 , further comprising displaying the model with the applied picture. | 0.961247 |
7,711,546 | 14 | 17 | 14. A method for operating a computer system, the method comprising acts of: a) obtaining source data, wherein the source data include a source string; b) obtaining a constraint and an anchor point associated with the source string, the constraint being a characteristic of a string and the anchor point defining a portion of the string to which the constraint applies, wherein a constraint comprises one or more elements from the set comprising: a regular expression; a lock constraint, indicating that a character sequence in a string should not be localized; a terminology constraint, operable on the value of a character sequence in a string; a functional constraint, operable on code points in a string; and a count constraint, operable on the length of a string or on the length of a character sequence within a string; c) automatically comparing the source string against the associated constraint based on the anchor point by comparing the constraint against the portion of the source string corresponding to the anchor point; d) displaying the source string on a display; e) obtaining a target string, wherein the target string corresponds to a translation of the source string; f) automatically comparing the target string against the associated constraint based on the anchor point by comparing the constraint against the portion of the target string corresponding to the anchor point; g) displaying the target string on the display; and h) displaying information based on the comparing, and, when the comparing indicates that the constraint is not satisfied, the displaying comprises presenting a visible indicator of at least one portion of the target string that does not satisfy constraint. | 14. A method for operating a computer system, the method comprising acts of: a) obtaining source data, wherein the source data include a source string; b) obtaining a constraint and an anchor point associated with the source string, the constraint being a characteristic of a string and the anchor point defining a portion of the string to which the constraint applies, wherein a constraint comprises one or more elements from the set comprising: a regular expression; a lock constraint, indicating that a character sequence in a string should not be localized; a terminology constraint, operable on the value of a character sequence in a string; a functional constraint, operable on code points in a string; and a count constraint, operable on the length of a string or on the length of a character sequence within a string; c) automatically comparing the source string against the associated constraint based on the anchor point by comparing the constraint against the portion of the source string corresponding to the anchor point; d) displaying the source string on a display; e) obtaining a target string, wherein the target string corresponds to a translation of the source string; f) automatically comparing the target string against the associated constraint based on the anchor point by comparing the constraint against the portion of the target string corresponding to the anchor point; g) displaying the target string on the display; and h) displaying information based on the comparing, and, when the comparing indicates that the constraint is not satisfied, the displaying comprises presenting a visible indicator of at least one portion of the target string that does not satisfy constraint. 17. The method as recited in claim 14 , wherein the method further comprises an act of: i) displaying information corresponding to one or more required terms in a string, and wherein the information includes one or more translations which correspond to the one or more required terms in the string. | 0.897595 |
7,774,300 | 11 | 14 | 11. A computing system for data migration, the computing system comprising: a processor and a memory embedded with computer instructions, wherein the computer instructions are executed by the processor to perform the following steps: retrieve a plurality of data model objects and system administration objects from a first database wherein the system administration objects include an access control list value; determine a dependency of the plurality of data model objects and system administration objects; provide data definition closure to the determined dependency through the elimination of missing dependency information; extract data model object definitions from the plurality of data model objects; extract system administration object definitions from the plurality of system administration objects; extract object annotations from the plurality of data model objects wherein the extracted object annotations contain information specific to the database; form a markup-language user document with the extracted object annotations, the extracted data model object definitions and the extracted system administration object definitions utilizing the determined dependency; export the formed markup-language user document to a computer-readable medium connected to the computing system; import the formed markup-language user document from the computer-readable medium connected to the computing system; retrieve the extracted data model object definitions, the extracted object annotations and the extracted system administration object definitions from the formed markup-language user document according to the determined dependency such that an extracted data model object definition dependent upon an extracted independent data model object definition or an extracted independent system administration object definition is retrieved after the extracted independent data model object definition or the extracted independent system administration object definition to form imported objects; and perform a conflict check on the formed imported objects; merge the formed imported objects with corresponding existing objects in a second database if a conflict exists; and at the second database, create new objects corresponding to the retrieved extracted data model object definitions, the extracted system administration object definitions and the extracted object annotations, if no conflict exists. | 11. A computing system for data migration, the computing system comprising: a processor and a memory embedded with computer instructions, wherein the computer instructions are executed by the processor to perform the following steps: retrieve a plurality of data model objects and system administration objects from a first database wherein the system administration objects include an access control list value; determine a dependency of the plurality of data model objects and system administration objects; provide data definition closure to the determined dependency through the elimination of missing dependency information; extract data model object definitions from the plurality of data model objects; extract system administration object definitions from the plurality of system administration objects; extract object annotations from the plurality of data model objects wherein the extracted object annotations contain information specific to the database; form a markup-language user document with the extracted object annotations, the extracted data model object definitions and the extracted system administration object definitions utilizing the determined dependency; export the formed markup-language user document to a computer-readable medium connected to the computing system; import the formed markup-language user document from the computer-readable medium connected to the computing system; retrieve the extracted data model object definitions, the extracted object annotations and the extracted system administration object definitions from the formed markup-language user document according to the determined dependency such that an extracted data model object definition dependent upon an extracted independent data model object definition or an extracted independent system administration object definition is retrieved after the extracted independent data model object definition or the extracted independent system administration object definition to form imported objects; and perform a conflict check on the formed imported objects; merge the formed imported objects with corresponding existing objects in a second database if a conflict exists; and at the second database, create new objects corresponding to the retrieved extracted data model object definitions, the extracted system administration object definitions and the extracted object annotations, if no conflict exists. 14. The computing system of claim 11 , wherein the data model objects and the system administration objects are retrieved utilizing an export table listing. | 0.814286 |
7,840,399 | 12 | 14 | 12. The device of claim 11 , wherein the processor determines whether a vocabulary entry is associated with a mismatched language. | 12. The device of claim 11 , wherein the processor determines whether a vocabulary entry is associated with a mismatched language. 14. The device of claim 12 , further wherein the general alphabet mapping table is applied if a character in the vocabulary entry associated with a mismatched language does not belong to a union of language-specific alphabet set and a standard alphabet set but does belong in a language-specific alphabet set for another language. | 0.915773 |
9,986,390 | 7 | 11 | 7. A telephone system, comprising: a computer part that operates to record a first video of a telephone user speaking, and to set the video as a first customized message that includes at least the video with at least picture and sound that are combined together; said computer part causing the first message to be sent to a user who is being contacted as part of a telephone call to the user who is being contacted, so that the user who is being called sees the caller ID based customized message in place of a numerical caller ID when receiving a communication from the telephone user, said computer part also operating to record a second video of a telephone user speaking, and to set the video as a second greeting to show to a party who is receiving a text message from the telephone user, said second greeting formed of a second customized message that includes at least the video with at least picture and sound that are combined together; said computer part causing the second greeting to be played to the party who is receiving a text message from the telephone user, so that the party who is receiving a text message from the telephone user sees a greeting comprising the telephone user along with the message in the user's own voice. | 7. A telephone system, comprising: a computer part that operates to record a first video of a telephone user speaking, and to set the video as a first customized message that includes at least the video with at least picture and sound that are combined together; said computer part causing the first message to be sent to a user who is being contacted as part of a telephone call to the user who is being contacted, so that the user who is being called sees the caller ID based customized message in place of a numerical caller ID when receiving a communication from the telephone user, said computer part also operating to record a second video of a telephone user speaking, and to set the video as a second greeting to show to a party who is receiving a text message from the telephone user, said second greeting formed of a second customized message that includes at least the video with at least picture and sound that are combined together; said computer part causing the second greeting to be played to the party who is receiving a text message from the telephone user, so that the party who is receiving a text message from the telephone user sees a greeting comprising the telephone user along with the message in the user's own voice. 11. The telephone system as in claim 7 , wherein the greeting is video and sound taken with a camera of the telephone. | 0.562963 |
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