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7,584,413 | 11 | 13 | 11. An information processing method of composing an integrated electronic document, said method comprising: a holding step of holding a plurality of kinds of electronic source documents in a storage medium, each of the electronic source documents including a plurality of source pages; a selection step of selecting at least one desired source page from the plurality of source pages included in the plurality kinds of electronic source documents held in the storage medium in the holding step; a composition step of composing the integrated electronic document on the basis of at least one source page selected in the selection step, wherein the integrated electronic document is composed of link information that links to the selected source page, the selected source page being used as a page of the integrated electronic document; an editing step of controlling to edit and then overwrite with an edited source page, the source page in the electronic source document, wherein the source page has been used as a page of the integrated electronic document in said composition step; an input step of inquiring of a user an input of an instruction regarding updating the page of the integrated electronic document and deleting the page of the integrated electronic document in response to when the source page being used as the page of integrated electronic document is edited and then overwritten with the edited source page in the electronic source document by said editing means; and a control step of controlling, in the case that updating the page of the integrated electronic document is instructed by said user in said input step, the page of the integrated electronic document corresponding to the edited source page of the electronic source document with the edited source page edited in said editing step and controlling, in the case that deleting the page of the integrated electronic document is instructed by said user in said input step, deleting the page of the integrated electronic document corresponding to the edited source page of the electronic source document, wherein the edited source page of the electronic source document is not deleted when the page of the integrated electronic document corresponding to the edited source page of the electronic source document is deleted. | 11. An information processing method of composing an integrated electronic document, said method comprising: a holding step of holding a plurality of kinds of electronic source documents in a storage medium, each of the electronic source documents including a plurality of source pages; a selection step of selecting at least one desired source page from the plurality of source pages included in the plurality kinds of electronic source documents held in the storage medium in the holding step; a composition step of composing the integrated electronic document on the basis of at least one source page selected in the selection step, wherein the integrated electronic document is composed of link information that links to the selected source page, the selected source page being used as a page of the integrated electronic document; an editing step of controlling to edit and then overwrite with an edited source page, the source page in the electronic source document, wherein the source page has been used as a page of the integrated electronic document in said composition step; an input step of inquiring of a user an input of an instruction regarding updating the page of the integrated electronic document and deleting the page of the integrated electronic document in response to when the source page being used as the page of integrated electronic document is edited and then overwritten with the edited source page in the electronic source document by said editing means; and a control step of controlling, in the case that updating the page of the integrated electronic document is instructed by said user in said input step, the page of the integrated electronic document corresponding to the edited source page of the electronic source document with the edited source page edited in said editing step and controlling, in the case that deleting the page of the integrated electronic document is instructed by said user in said input step, deleting the page of the integrated electronic document corresponding to the edited source page of the electronic source document, wherein the edited source page of the electronic source document is not deleted when the page of the integrated electronic document corresponding to the edited source page of the electronic source document is deleted. 13. The method according to claim 11 , further comprising: a display control step of controlling display of a first display window for displaying a thumbnail image of each source page of each electronic source document and a second display window for displaying a thumbnail image of each page of the integrated electronic document, wherein in the editing step, each page of the integrated electronic document is edited using the thumbnail image displayed on the first display window and the second display window, and wherein in the display control step, display contents of the second display window are updated on the basis of the editing result in the editing step. | 0.5 |
7,509,259 | 1 | 8 | 1. A method of operating a pattern recognition system for refining a plurality of statistical pattern recognition models that are used for statistical pattern recognition, the method including: reading in initial values of a set of parameters for said plurality of statistical pattern recognition models; reading a training data set that includes a plurality of training data items including training data items for each of said plurality of statistical pattern recognition models, along with a transcribed identity for each of said plurality of training data items; obtaining feature vectors from each of the plurality of training data items; using a processor to perform an optimization routine for optimizing an objective function in order to find refined values of said set of parameters for said plurality of said statistical pattern recognition models corresponding to an extremum of said objective function, wherein said objective function is dynamically defined for each of a succession of iterations of said optimization routine to include a subexpression for each k th item of training data in, at least, a subset of said plurality of training data items that is defined by, at least, a first criterion that requires that said transcribed identity does not match a recognized identity for said k th item of training data, and a second criterion that requires that there is not a gross discrepancy between said transcribed identity and said recognized identity, wherein each subexpression depends on a relative magnitude of a first probability score compared to a second probability score, wherein said first probability score is based on a value of a first statistical pattern recognition model corresponding to said recognized identity of said k th item of training data evaluated with said one or more feature vectors obtained from said k th item of training data and said second probability score is based on a value of a second statistical pattern recognition model corresponding to said transcribed identity of said k th item of training data evaluated with said one or more feature vectors obtained from said k th item of training data; and using the refined statistical pattern recognition models to recognize a pattern. | 1. A method of operating a pattern recognition system for refining a plurality of statistical pattern recognition models that are used for statistical pattern recognition, the method including: reading in initial values of a set of parameters for said plurality of statistical pattern recognition models; reading a training data set that includes a plurality of training data items including training data items for each of said plurality of statistical pattern recognition models, along with a transcribed identity for each of said plurality of training data items; obtaining feature vectors from each of the plurality of training data items; using a processor to perform an optimization routine for optimizing an objective function in order to find refined values of said set of parameters for said plurality of said statistical pattern recognition models corresponding to an extremum of said objective function, wherein said objective function is dynamically defined for each of a succession of iterations of said optimization routine to include a subexpression for each k th item of training data in, at least, a subset of said plurality of training data items that is defined by, at least, a first criterion that requires that said transcribed identity does not match a recognized identity for said k th item of training data, and a second criterion that requires that there is not a gross discrepancy between said transcribed identity and said recognized identity, wherein each subexpression depends on a relative magnitude of a first probability score compared to a second probability score, wherein said first probability score is based on a value of a first statistical pattern recognition model corresponding to said recognized identity of said k th item of training data evaluated with said one or more feature vectors obtained from said k th item of training data and said second probability score is based on a value of a second statistical pattern recognition model corresponding to said transcribed identity of said k th item of training data evaluated with said one or more feature vectors obtained from said k th item of training data; and using the refined statistical pattern recognition models to recognize a pattern. 8. The method according to claim 1 wherein for each of said succession of iterations, for each i th item of training data in said training data set, determining whether said second criterion is met by a process comprising: comparing a magnitude of a function that depends on a relative magnitude of said first probability score and said second probability score to a predetermined value. | 0.844203 |
5,442,546 | 4 | 8 | 4. A translation template generating method according to claim 3, said method further comprising the step of: displaying the pair of said first language sentence and said second language sentence, which are the source of said generated translation template, in a format that parts which are replaced with variables and other parts are distinguished from each other. | 4. A translation template generating method according to claim 3, said method further comprising the step of: displaying the pair of said first language sentence and said second language sentence, which are the source of said generated translation template, in a format that parts which are replaced with variables and other parts are distinguished from each other. 8. A translation template generating method according to claim 4, further comprising the step of: judging whether said designated parts of said first language sentence are actual phrases. | 0.5 |
8,683,436 | 6 | 7 | 6. The computer-implemented method of claim 1 , wherein associating further comprises: defining the graphical element to include the left border, the right border, the top border, and the bottom border. | 6. The computer-implemented method of claim 1 , wherein associating further comprises: defining the graphical element to include the left border, the right border, the top border, and the bottom border. 7. The computer-implemented method of claim 6 , wherein the temporal constraint further comprises an absolute commencement delay. | 0.515038 |
8,473,491 | 13 | 14 | 13. A method of determining whether a business listing is legitimate, the method comprising: accessing, by a processor, a list of legitimate business titles, each legitimate business title including one or more words; generating a matrix of surprisingness values by: examining, by the processor, each legitimate business title to identify pairs of words occurring in that title; adding, by the processor, a count value to the matrix for each pair of words identified, such that the matrix includes a plurality of count values for different pairs of words occurring in the legitimate business titles; normalizing, by a processor, the plurality of count values for the matrix to generate the matrix of surprisingness values, where each surprisingness value of the matrix of surprisingness values indicates how unlikely a pair of words are to appear in a legitimate business title; storing the matrix of surprisingness values in memory; receiving a request for information from a client device; identifying a plurality of search results including two or more business listings including a title of two or more words; for each business listing of the two or more business listings, determine a surprisingness value indicative of the surprisingness of the title included in the particular business listing based on the stored matrix of surprisingness values; determining an average surprisingness value for the two or more business listings; selecting one business listing of the two or more business listings; and determining whether the one business listing is legitimate based on whether the surprisingness value for the particular business listing is less than the average surprisingness value plus a threshold value. | 13. A method of determining whether a business listing is legitimate, the method comprising: accessing, by a processor, a list of legitimate business titles, each legitimate business title including one or more words; generating a matrix of surprisingness values by: examining, by the processor, each legitimate business title to identify pairs of words occurring in that title; adding, by the processor, a count value to the matrix for each pair of words identified, such that the matrix includes a plurality of count values for different pairs of words occurring in the legitimate business titles; normalizing, by a processor, the plurality of count values for the matrix to generate the matrix of surprisingness values, where each surprisingness value of the matrix of surprisingness values indicates how unlikely a pair of words are to appear in a legitimate business title; storing the matrix of surprisingness values in memory; receiving a request for information from a client device; identifying a plurality of search results including two or more business listings including a title of two or more words; for each business listing of the two or more business listings, determine a surprisingness value indicative of the surprisingness of the title included in the particular business listing based on the stored matrix of surprisingness values; determining an average surprisingness value for the two or more business listings; selecting one business listing of the two or more business listings; and determining whether the one business listing is legitimate based on whether the surprisingness value for the particular business listing is less than the average surprisingness value plus a threshold value. 14. The method of claim 13 , further comprising transmitting the search results without including the particular business listing to the client device if the surprisingness value for the particular business is greater than or equal to the threshold value. | 0.5 |
4,616,327 | 6 | 7 | 6. Apparatus in accordance with claim 1 including means for recording personal information; and means for controlling the plotter to print personalized information among preprinted background. | 6. Apparatus in accordance with claim 1 including means for recording personal information; and means for controlling the plotter to print personalized information among preprinted background. 7. Apparatus in accordance with claim 6 including means for storing textual material related to various age group, sex and pastimes; selecting appropriate personalized textual material based upon at least one of the following factors; age, sex, and pastime; and means for directing said plotter to print said textual material. | 0.5 |
8,332,381 | 1 | 2 | 1. A computer-readable storage medium, with instructions stored thereon, which when executed by at least one processor of a computing device, cause the computing device to: within an Internet browsing application, present a search box adjacent to a last of at least one tab header in a tabbed area of the Internet browsing application, the tabbed area defined as an area of the Internet browsing application where tab headers are displayed, the search box displayed within the tabbed area but outside of any tab and outside of any tab header of any tab, the search box to receive text input of a search query to be submitted against at least one search engine, add at least one tracking code, associated with at least one of a user and the Internet browsing application, to the search query submitted to each respective search engine of the at least one search engine, the Internet browsing application including an address bar, the tabbed area including at least one tab header that can be selected to view a browsing area associated with the selected tab, the browsing area of each tab to provide a view of content retrieved by the Internet browsing application, at least a portion of the content retrieved from a location identified in the address bar; upon addition of a new tab header to the tabbed area: identify a new area within the tabbed area to present the search box, the new area adjacent to a last tab header presented in the tabbed area; remove the presented search box; and redraw the search box in the identified new area to present the search box. | 1. A computer-readable storage medium, with instructions stored thereon, which when executed by at least one processor of a computing device, cause the computing device to: within an Internet browsing application, present a search box adjacent to a last of at least one tab header in a tabbed area of the Internet browsing application, the tabbed area defined as an area of the Internet browsing application where tab headers are displayed, the search box displayed within the tabbed area but outside of any tab and outside of any tab header of any tab, the search box to receive text input of a search query to be submitted against at least one search engine, add at least one tracking code, associated with at least one of a user and the Internet browsing application, to the search query submitted to each respective search engine of the at least one search engine, the Internet browsing application including an address bar, the tabbed area including at least one tab header that can be selected to view a browsing area associated with the selected tab, the browsing area of each tab to provide a view of content retrieved by the Internet browsing application, at least a portion of the content retrieved from a location identified in the address bar; upon addition of a new tab header to the tabbed area: identify a new area within the tabbed area to present the search box, the new area adjacent to a last tab header presented in the tabbed area; remove the presented search box; and redraw the search box in the identified new area to present the search box. 2. The computer-readable storage medium of claim 1 , with further instructions stored thereon which when executed by the at least one processor, cause the computing device to: receive search results in response to a search query received in the search box and submitted to the at least one search engine; aggregate search results from each search engine to which the query was submitted; present the aggregated search results as a web page in a browsing area of a tab of the at least one tab. | 0.542751 |
9,418,157 | 15 | 17 | 15. A method for estimating a keyword for a website receiving visits from encrypted search keywords in a secure sockets layer (SSL) environment, wherein each webpage of the website includes a uniform resource locator (URL) address, the method comprising: receiving a plurality of visits from encrypted search keywords to the URL address of a webpage of the website; matching the plurality of visits to a block based on similar attributes, wherein the block includes at least one category related to the URL address, each of the at least one category includes a probability value; determining a random number for each visit; determining an estimated keyword used in the encrypted searches for each visit based on the random number and the probability value of a category within the block; and aggregating each estimated keyword from the second determining step to estimate at least one keyword for the plurality of visits. | 15. A method for estimating a keyword for a website receiving visits from encrypted search keywords in a secure sockets layer (SSL) environment, wherein each webpage of the website includes a uniform resource locator (URL) address, the method comprising: receiving a plurality of visits from encrypted search keywords to the URL address of a webpage of the website; matching the plurality of visits to a block based on similar attributes, wherein the block includes at least one category related to the URL address, each of the at least one category includes a probability value; determining a random number for each visit; determining an estimated keyword used in the encrypted searches for each visit based on the random number and the probability value of a category within the block; and aggregating each estimated keyword from the second determining step to estimate at least one keyword for the plurality of visits. 17. The method of claim 15 , wherein the second determining step includes selecting a random index keyword for the estimated keyword. | 0.5 |
8,908,970 | 1 | 9 | 1. A method for extracting textual information from a document containing text characters using a digital image capture device, comprising: capturing a plurality of digital images of the document using the digital image capture device, wherein all of the digital images include a same document region of the document; automatically analyzing each of the captured digital images using an optical character recognition process to determine extracted textual data for the same document region in each captured digital image; merging the extracted textual data from the plurality of captured digital images to determine the textual information for the document, wherein differences between the extracted textual data for the same document region in the plurality of captured digital images are analyzed to determine the textual information for the document region; wherein the merging of the extracted textual data for the captured digital images includes: analyzing the extracted textual data for the captured digital images to determine corresponding portions of the textual data for the captured digital images, wherein the corresponding portions correspond to the same text characters in the document; analyzing the extracted textual data to identify portions of the textual data for the plurality of captured digital images where the textual data extracted from at least one of the captured digital images is different from the textual data extracted from the corresponding portion of another one of the captured digital images; analyzing the differences between extracted textual data for the captured digital images to determine a corresponding portion of the textual information for the document; and wherein the method is performed, at least in part, using a data processor. | 1. A method for extracting textual information from a document containing text characters using a digital image capture device, comprising: capturing a plurality of digital images of the document using the digital image capture device, wherein all of the digital images include a same document region of the document; automatically analyzing each of the captured digital images using an optical character recognition process to determine extracted textual data for the same document region in each captured digital image; merging the extracted textual data from the plurality of captured digital images to determine the textual information for the document, wherein differences between the extracted textual data for the same document region in the plurality of captured digital images are analyzed to determine the textual information for the document region; wherein the merging of the extracted textual data for the captured digital images includes: analyzing the extracted textual data for the captured digital images to determine corresponding portions of the textual data for the captured digital images, wherein the corresponding portions correspond to the same text characters in the document; analyzing the extracted textual data to identify portions of the textual data for the plurality of captured digital images where the textual data extracted from at least one of the captured digital images is different from the textual data extracted from the corresponding portion of another one of the captured digital images; analyzing the differences between extracted textual data for the captured digital images to determine a corresponding portion of the textual information for the document; and wherein the method is performed, at least in part, using a data processor. 9. The method of claim 1 , wherein the plurality of digital images are captured using a single activation of a user control on the digital image capture device. | 0.751553 |
8,266,702 | 1 | 2 | 1. A system for analyzing access control configurations, comprising: a processor and memory; an operating system having resources and identifications of principals, the principals having access control privileges relating to the resources, the access control privileges described by access control metadata; an access control scanner component that receives the access control metadata, uses the metadata to determine relationships between the principals and the resources, and emits access control relations information, wherein the access control scanner component includes a mechanism layer that is configured to be specific to an operating system, and emits one or more sets of permissions in relation to resources, and a policy layer that is configured be general across multiple operating systems, the policy layer receives the one or more sets of permissions and generates one or more derivation trees that each indicate a possible vulnerability based on the relationships between the principals and the resources; and an access control inference engine that receives the emitted access control relations information and an access control policy model defining desired security policies, analyzes the received information and model, and emits a vulnerability report. | 1. A system for analyzing access control configurations, comprising: a processor and memory; an operating system having resources and identifications of principals, the principals having access control privileges relating to the resources, the access control privileges described by access control metadata; an access control scanner component that receives the access control metadata, uses the metadata to determine relationships between the principals and the resources, and emits access control relations information, wherein the access control scanner component includes a mechanism layer that is configured to be specific to an operating system, and emits one or more sets of permissions in relation to resources, and a policy layer that is configured be general across multiple operating systems, the policy layer receives the one or more sets of permissions and generates one or more derivation trees that each indicate a possible vulnerability based on the relationships between the principals and the resources; and an access control inference engine that receives the emitted access control relations information and an access control policy model defining desired security policies, analyzes the received information and model, and emits a vulnerability report. 2. The system of claim 1 wherein the access control relations are identified using a language with semantics that are similar to a Datalog language. | 0.672566 |
8,279,343 | 1 | 13 | 1. A summary content generation device, which uses digital broadcast signals having video data and subtitle data to generate summary content for a broadcast program, comprising: a subtitle character string extraction unit, for extracting a subtitle character string from subtitle data contained in said digital broadcast signals; a still image extraction unit, for extracting one still image corresponding to said subtitle character string from video data contained in said digital broadcast signals; and a summary content generation unit, for generating summary content, which displays, on a screen, said extracted subtitle character string together with said corresponding extracted still image, wherein said summary content generation unit decides the timing for switching display of the plurality of subtitle character strings and still images comprised by said summary content, based on the subtitle character strings. | 1. A summary content generation device, which uses digital broadcast signals having video data and subtitle data to generate summary content for a broadcast program, comprising: a subtitle character string extraction unit, for extracting a subtitle character string from subtitle data contained in said digital broadcast signals; a still image extraction unit, for extracting one still image corresponding to said subtitle character string from video data contained in said digital broadcast signals; and a summary content generation unit, for generating summary content, which displays, on a screen, said extracted subtitle character string together with said corresponding extracted still image, wherein said summary content generation unit decides the timing for switching display of the plurality of subtitle character strings and still images comprised by said summary content, based on the subtitle character strings. 13. The summary content generation device according to claim 1 , wherein said summary content generation unit judges whether a plurality of continuous still images are similar, and adopts a representative still image from among a plurality of contiguous similar still images. | 0.74537 |
8,799,001 | 1 | 11 | 1. A method of defining catch styles used in generating speech application code for managing a plurality of catch events in an interactive voice application, the method comprising steps of: presenting a style-selection menu for a plurality of catch styles that allows for selection of one or more of the catch styles, each catch style defining a system response to the plurality of catch events in the interactive voice application, wherein the plurality of catch styles provide different levels of complexity with regard to preparing a system's audio response to be played in a dialog turn and the plurality of catch events comprises an event being selected from the group consisting of a user request for help, a non-input entry, and a non-matching entry, wherein the plurality of catch styles includes a Simple catch style for which the system's audio response is to replay a prompt that led to the catch event in the interactive voice application, a Modern catch style for which the system's audio response is to play a same audio message for all catch events in the interactive voice application and a Classic catch style for which the system's audio response is to play different audio messages for at least two types of catch events in the interactive voice application, wherein the at least two types of catch events are selected from the group consisting of a user request for help, a non-input entry, and a non-matching entry; receiving during programming of the interactive voice application, an indication to associate a catch style with at least one catch event; determining, with at least one processor, in response to receiving the indication, a currently selected catch style; and associating the currently selected catch style with the at least one catch event by preparing the system response to the at least one catch event in accordance with the currently selected catch style. | 1. A method of defining catch styles used in generating speech application code for managing a plurality of catch events in an interactive voice application, the method comprising steps of: presenting a style-selection menu for a plurality of catch styles that allows for selection of one or more of the catch styles, each catch style defining a system response to the plurality of catch events in the interactive voice application, wherein the plurality of catch styles provide different levels of complexity with regard to preparing a system's audio response to be played in a dialog turn and the plurality of catch events comprises an event being selected from the group consisting of a user request for help, a non-input entry, and a non-matching entry, wherein the plurality of catch styles includes a Simple catch style for which the system's audio response is to replay a prompt that led to the catch event in the interactive voice application, a Modern catch style for which the system's audio response is to play a same audio message for all catch events in the interactive voice application and a Classic catch style for which the system's audio response is to play different audio messages for at least two types of catch events in the interactive voice application, wherein the at least two types of catch events are selected from the group consisting of a user request for help, a non-input entry, and a non-matching entry; receiving during programming of the interactive voice application, an indication to associate a catch style with at least one catch event; determining, with at least one processor, in response to receiving the indication, a currently selected catch style; and associating the currently selected catch style with the at least one catch event by preparing the system response to the at least one catch event in accordance with the currently selected catch style. 11. The method of claim 1 , wherein preparing the system's audio response for the at least one catch event is performed in accordance with a global catch template that applies the selected catch style to all existing and future prompts created for the interactive voice application. | 0.681716 |
8,819,029 | 1 | 2 | 1. A method performed by data processing apparatus, the method comprising: receiving a content item request that specifies a phrase of one or more words; determining that a first keyword and a second keyword for a same content distribution campaign are both matched by the phrase; determining that a first match between the first keyword and the phrase is a more specific match than a second match between the second keyword and the phrase; determining that the first keyword is associated with a higher bid than the second keyword; identifying, based on the determination that the first keyword is associated with the higher bid, a first tiebreaker rule specifying that the second keyword is a controlling keyword when the second keyword has a higher quality score than the first keyword; determining which of the first keyword or the second keyword has a higher quality score; selecting, based on the first tiebreaker rule and the determination of which of the first keyword or the second keyword has a higher quality score, one of the first keyword or the second keyword as a controlling keyword for the content item request; and providing, in response to the content item request, data associated with the controlling keyword. | 1. A method performed by data processing apparatus, the method comprising: receiving a content item request that specifies a phrase of one or more words; determining that a first keyword and a second keyword for a same content distribution campaign are both matched by the phrase; determining that a first match between the first keyword and the phrase is a more specific match than a second match between the second keyword and the phrase; determining that the first keyword is associated with a higher bid than the second keyword; identifying, based on the determination that the first keyword is associated with the higher bid, a first tiebreaker rule specifying that the second keyword is a controlling keyword when the second keyword has a higher quality score than the first keyword; determining which of the first keyword or the second keyword has a higher quality score; selecting, based on the first tiebreaker rule and the determination of which of the first keyword or the second keyword has a higher quality score, one of the first keyword or the second keyword as a controlling keyword for the content item request; and providing, in response to the content item request, data associated with the controlling keyword. 2. The method of claim 1 , comprising: receiving a second content item request that specifies a second phrase of one or more words; determining that two keywords in a same content distribution campaign are both eligible to be selected as a controlling keyword for the second content item request; identifying a tiebreaker rule based on data associated with the two keywords; identifying, from the two keywords, a second controlling keyword based on the tiebreaker rule; and providing, in response to the second request, data associated with the second controlling keyword. | 0.5 |
8,543,574 | 17 | 19 | 17. A computer-readable storage medium comprising instructions for performing a method for providing an efficient M-out-of-N partial matching search, the method comprising: initializing a global location space (GLS) by assigning respective occurrences of words to continuous locations of a one-dimensional array comprised within the GLS, wherein the words are from one or more documents indexed for searching, the one or more documents delineated within the GLS using end of document (EOD) words, an EOD word comprising a designator marking a boundary between two documents; separating words of a received query having an integer value N words into an active set and a non-active set, the active set comprising an integer value M words of the received query that are left-most occurring with the GLS, the integer value M being less than the integer value N; and traversing the GLS by applying geometric constraints to the active set to determine if M words of the received query are comprised within one or more documents, at least one of the traversal comprising: detecting an occurrence of a right EOD word of a current document occurring within the GLS before a location of a right-most word of the active set within the GLS, and determining the current document fails a geometric constraint based upon the occurrence, and for respective current words of the active set occurring before the right EOD word: incrementing a current location of a current word to a next occurring location of the current word within the GLS after the right EOD word based upon the next occurring location occurring before a left-most word of the non-active set within the GLS, otherwise substituting the current word with the left-most word within the non-active set. | 17. A computer-readable storage medium comprising instructions for performing a method for providing an efficient M-out-of-N partial matching search, the method comprising: initializing a global location space (GLS) by assigning respective occurrences of words to continuous locations of a one-dimensional array comprised within the GLS, wherein the words are from one or more documents indexed for searching, the one or more documents delineated within the GLS using end of document (EOD) words, an EOD word comprising a designator marking a boundary between two documents; separating words of a received query having an integer value N words into an active set and a non-active set, the active set comprising an integer value M words of the received query that are left-most occurring with the GLS, the integer value M being less than the integer value N; and traversing the GLS by applying geometric constraints to the active set to determine if M words of the received query are comprised within one or more documents, at least one of the traversal comprising: detecting an occurrence of a right EOD word of a current document occurring within the GLS before a location of a right-most word of the active set within the GLS, and determining the current document fails a geometric constraint based upon the occurrence, and for respective current words of the active set occurring before the right EOD word: incrementing a current location of a current word to a next occurring location of the current word within the GLS after the right EOD word based upon the next occurring location occurring before a left-most word of the non-active set within the GLS, otherwise substituting the current word with the left-most word within the non-active set. 19. The computer-readable storage medium of claim 17 , the assigning comprising: assigning a word of a document to a location within the GLS corresponding to a first appearance of the word within an inverted index. | 0.5 |
8,086,668 | 17 | 22 | 17. The computationally-implemented method of claim 1 , wherein said soliciting, based at least in part on a hypothesis that links one or more objective occurrences with one or more subjective user states and in response at least in part to an incidence of at least one subjective user state associated with a user, at least a portion of objective occurrence data including data indicating incidence of at least one objective occurrence comprises: soliciting the data indicating incidence of at least one objective occurrence based, at least in part, on referencing the hypothesis. | 17. The computationally-implemented method of claim 1 , wherein said soliciting, based at least in part on a hypothesis that links one or more objective occurrences with one or more subjective user states and in response at least in part to an incidence of at least one subjective user state associated with a user, at least a portion of objective occurrence data including data indicating incidence of at least one objective occurrence comprises: soliciting the data indicating incidence of at least one objective occurrence based, at least in part, on referencing the hypothesis. 22. The computationally-implemented method of claim 17 , wherein said soliciting the data indicating incidence of at least one objective occurrence based, at least in part, on referencing the hypothesis comprises: soliciting the data indicating incidence of at least one objective occurrence based, at least in part, on referencing a hypothesis that identifies a relationship between at least an ingestion of a nutraceutical and the one or more subjective user states. | 0.531062 |
8,577,726 | 2 | 10 | 2. A method in a computing device for calculating a bid amount for a keyword, the method comprising: collecting, at one or more computer systems, conversion information for the keyword indicating financial benefit resulting from users selecting advertisements displayed with content that relates to the keyword, the financial benefit being organized into categories; determining, at the one or more computer systems, a category-specific advertising expense factor for each category; calculating, at the one or more computer systems, a category-specific product for each category, the category specific product calculated by multiplying the financial benefit for the category by the category-specific advertising expense factor determined for the category; generating, at the one or more computer systems, a summation of the calculated category-specific products; generating, at the one or more computer systems, a quotient, wherein the quotient is the summation of the category-specific products divided by a number of sessions with financial benefit; and generating, at the one or more computer systems, a bid amount for the keyword based at least in part on the quotient multiplied by a forecast conversion rate, the forecast conversion rate comprising a predicted percentage of clickthroughs associated with the keyword that results in a conversion. | 2. A method in a computing device for calculating a bid amount for a keyword, the method comprising: collecting, at one or more computer systems, conversion information for the keyword indicating financial benefit resulting from users selecting advertisements displayed with content that relates to the keyword, the financial benefit being organized into categories; determining, at the one or more computer systems, a category-specific advertising expense factor for each category; calculating, at the one or more computer systems, a category-specific product for each category, the category specific product calculated by multiplying the financial benefit for the category by the category-specific advertising expense factor determined for the category; generating, at the one or more computer systems, a summation of the calculated category-specific products; generating, at the one or more computer systems, a quotient, wherein the quotient is the summation of the category-specific products divided by a number of sessions with financial benefit; and generating, at the one or more computer systems, a bid amount for the keyword based at least in part on the quotient multiplied by a forecast conversion rate, the forecast conversion rate comprising a predicted percentage of clickthroughs associated with the keyword that results in a conversion. 10. The method of claim 2 wherein the collecting of conversion information also includes collecting number of conversions, a conversion being a session initiated by selection of an advertisement placed based at least in part on the keyword and resulting in financial benefit. | 0.724449 |
9,369,711 | 28 | 35 | 28. A device for encoding video data comprising: a memory configured to store the video data; and a processor in communication with the memory and configured to: encode pictures of a video sequence to generate a coded video sequence comprising the encoded pictures; and signal timing parameters for the coded video sequence by directly signaling a condition for signaling a number of clock ticks corresponding to a difference of picture order count (POC) values equal to 1 in at least one of a video parameter set (VPS) syntax structure referenced by the coded video sequence and a sequence parameter set (SPS) syntax structure referenced by the coded video sequence. | 28. A device for encoding video data comprising: a memory configured to store the video data; and a processor in communication with the memory and configured to: encode pictures of a video sequence to generate a coded video sequence comprising the encoded pictures; and signal timing parameters for the coded video sequence by directly signaling a condition for signaling a number of clock ticks corresponding to a difference of picture order count (POC) values equal to 1 in at least one of a video parameter set (VPS) syntax structure referenced by the coded video sequence and a sequence parameter set (SPS) syntax structure referenced by the coded video sequence. 35. The device of claim 28 , wherein the processor is further configured to generate a coded bitstream comprising a sequence of bits that forms a representation of the encoded pictures, wherein the timing parameters at least in part define a video buffering model of a coded picture buffer and a decoded picture buffer for verifying conformance of the coded bitstream. | 0.5 |
7,528,990 | 19 | 20 | 19. The image-forming system according to claim 18 , wherein, if a portion in said input setting screen, resulting from said input setting screen information generated by said second means for generating, is different from that corresponding to said portion in an initial input setting screen, resulting from initial setting values, said means for displaying displays said portion with emphasis. | 19. The image-forming system according to claim 18 , wherein, if a portion in said input setting screen, resulting from said input setting screen information generated by said second means for generating, is different from that corresponding to said portion in an initial input setting screen, resulting from initial setting values, said means for displaying displays said portion with emphasis. 20. The image-forming system according to claim 19 , wherein, if said means for receiving receives at least a setting item by the operator and if said means for displaying displays an updated input setting screen which is updated according to said setting item by the operator, said means for displaying displays a portion with emphasis, said portion in said updated input setting screen being different from a portion corresponding to said portion in an input setting screen prior to updating. | 0.5 |
7,904,439 | 5 | 6 | 5. The system of claim 1 , the formatting component formats the display by maximizing a total expected utility, subject to the sizes of a display and in relation to the size and amount of embedded content placed in a montage. | 5. The system of claim 1 , the formatting component formats the display by maximizing a total expected utility, subject to the sizes of a display and in relation to the size and amount of embedded content placed in a montage. 6. The system of claim 5 , further comprising at least one of a knapsack algorithm, box fitting algorithm and a geometric analysis to fit a plurality of display clippings into the montage. | 0.5 |
8,140,328 | 8 | 11 | 8. A system for using alternate recognition hypotheses to improve whole-dialog understanding accuracy, the system comprising: a processor; a first module configured to control the processor to receive an utterance as part of a user dialog turn; a second module configured to control the processor to generate an N-best list of recognition hypotheses for the user dialog turn and yield a generated N-best list; a third module configured to control the processor to select an underlying user intention based on a belief distribution across the generated N-best list and at least one contextually similar N-best list that is based on an analysis of confidence scores calculated by summing over all possible hidden states and all possible hidden user actions associated with the recognition hypotheses in the generated N-best list and the at least one contextually similar N-best list; and a fourth module configured to control the processor to respond to the user based on the selected underlying user intention. | 8. A system for using alternate recognition hypotheses to improve whole-dialog understanding accuracy, the system comprising: a processor; a first module configured to control the processor to receive an utterance as part of a user dialog turn; a second module configured to control the processor to generate an N-best list of recognition hypotheses for the user dialog turn and yield a generated N-best list; a third module configured to control the processor to select an underlying user intention based on a belief distribution across the generated N-best list and at least one contextually similar N-best list that is based on an analysis of confidence scores calculated by summing over all possible hidden states and all possible hidden user actions associated with the recognition hypotheses in the generated N-best list and the at least one contextually similar N-best list; and a fourth module configured to control the processor to respond to the user based on the selected underlying user intention. 11. The system of claim 8 , wherein recognition hypotheses in each of the plurality of contextually similar N-best lists with confidence scores below a threshold are not considered when selecting the underlying user intention. | 0.575188 |
8,838,436 | 11 | 12 | 11. A non-transitory computer-readable storage medium having computer program instructions embodied therein for labeling context slices of a storyline of a user's movements, the computer program instructions comprising instructions for: receiving a plurality of context slices derived from associated context data collected from a plurality of observation sources; and for each of the plurality of context slices: determining an uncertainty in a location of the slice based on a type of observation source from which the associated context data originated; identifying a set of candidate labels based on context data associated with the context slice, each candidate label matching the location of the slice within the determined uncertainty, the candidate labels each comprising semantic data describing the context data associated with the context slice, the semantic data selected from a group consisting of geography, venue, and activity; ranking the set of candidate labels by likelihood; applying one or more of the candidate labels to the context slice; and storing a correspondence between the applied one or more labels and the context slice. | 11. A non-transitory computer-readable storage medium having computer program instructions embodied therein for labeling context slices of a storyline of a user's movements, the computer program instructions comprising instructions for: receiving a plurality of context slices derived from associated context data collected from a plurality of observation sources; and for each of the plurality of context slices: determining an uncertainty in a location of the slice based on a type of observation source from which the associated context data originated; identifying a set of candidate labels based on context data associated with the context slice, each candidate label matching the location of the slice within the determined uncertainty, the candidate labels each comprising semantic data describing the context data associated with the context slice, the semantic data selected from a group consisting of geography, venue, and activity; ranking the set of candidate labels by likelihood; applying one or more of the candidate labels to the context slice; and storing a correspondence between the applied one or more labels and the context slice. 12. The computer-readable storage medium of claim 11 , wherein the set of candidate labels are from public venue records, a user-specified database of places, a database of descriptions of activities commonly applicable to venue categories, calendar data, and user corrections to automatically applied labels. | 0.5 |
7,668,806 | 1 | 30 | 1. A method of processing a query, comprising the computer-implemented steps of: receiving the query, wherein the query specifies certain operations to be performed, wherein the certain operations comprise a first set of one or more operations that are to be performed on a markup language data source; wherein the first set of one or more operations includes a second set of one or more operations; determining that the first set of one or more operations can be performed at any one of a plurality of entities; wherein the plurality of entities includes one or more of an XML database server, a relational database server, and a middle-tier engine; generating a plurality of execution plans for executing the query, wherein the plurality of execution plans include: a first execution plan indicating a first entity at which the second set of one or more operations are to be performed; and a second execution plan indicating a second entity at which the second set of one or more operations are to be performed; selecting, based on a particular set of criteria, a particular execution plan from the plurality of execution plans; wherein selecting the particular execution plan from the plurality of execution plans comprises one or more of: selecting the particular execution plan based at least in part on costs determined for the plurality of execution plans; and selecting the particular execution plan by using one or more rules to determine which execution plan, of the plurality of execution plans, to use for executing the query; wherein the selected particular execution plan indicates a first server at which the second set of one or more operations are to be performed; determining that a third set of one or more operations are to be performed at the middle-tier engine, wherein the first set of one or more operations include all operations in the third set of one or more operations, and the third set of one or more operations include no operation that are in the second set of one or more operations; sending a request to the first server to perform the second set of one or more operations; receiving a response to the request, wherein the response contains results of performing the second set of one or more operations on the markup language data source; and generating results for the query based at least in part on the results of performing the second set of one or more operations; wherein the steps of generating the plurality of execution plans and selecting the particular execution plan are performed by one or more computing devices. | 1. A method of processing a query, comprising the computer-implemented steps of: receiving the query, wherein the query specifies certain operations to be performed, wherein the certain operations comprise a first set of one or more operations that are to be performed on a markup language data source; wherein the first set of one or more operations includes a second set of one or more operations; determining that the first set of one or more operations can be performed at any one of a plurality of entities; wherein the plurality of entities includes one or more of an XML database server, a relational database server, and a middle-tier engine; generating a plurality of execution plans for executing the query, wherein the plurality of execution plans include: a first execution plan indicating a first entity at which the second set of one or more operations are to be performed; and a second execution plan indicating a second entity at which the second set of one or more operations are to be performed; selecting, based on a particular set of criteria, a particular execution plan from the plurality of execution plans; wherein selecting the particular execution plan from the plurality of execution plans comprises one or more of: selecting the particular execution plan based at least in part on costs determined for the plurality of execution plans; and selecting the particular execution plan by using one or more rules to determine which execution plan, of the plurality of execution plans, to use for executing the query; wherein the selected particular execution plan indicates a first server at which the second set of one or more operations are to be performed; determining that a third set of one or more operations are to be performed at the middle-tier engine, wherein the first set of one or more operations include all operations in the third set of one or more operations, and the third set of one or more operations include no operation that are in the second set of one or more operations; sending a request to the first server to perform the second set of one or more operations; receiving a response to the request, wherein the response contains results of performing the second set of one or more operations on the markup language data source; and generating results for the query based at least in part on the results of performing the second set of one or more operations; wherein the steps of generating the plurality of execution plans and selecting the particular execution plan are performed by one or more computing devices. 30. The method of claim 1 wherein at least one execution plan, of the plurality of execution plans, indicates an order in which multiple entities of the plurality of entities are to perform respective multiple subsets of said certain operations. | 0.897404 |
9,471,672 | 18 | 22 | 18. A computer-implemented method of sorting a set of legal documents comprising a list of responsive documents generated by a search of at least a subset of a database, said search including a step of performing a query, said method comprising the steps of: for each legal document in said list of responsive documents, collecting, from a citation table, a number of times each said legal document of said list of responsive documents is cited by legal documents in another set of legal documents comprising documents included in said database; wherein said set of legal documents of said list of responsive documents is generated by performing a query on a database; sorting said set of legal documents generated by performing said query in an order based upon said number; and communicating results of said sorting step, in an order corresponding to the order in which legal documents of said set of legal documents generated by performing said query are placed by said sorting step, to a user. | 18. A computer-implemented method of sorting a set of legal documents comprising a list of responsive documents generated by a search of at least a subset of a database, said search including a step of performing a query, said method comprising the steps of: for each legal document in said list of responsive documents, collecting, from a citation table, a number of times each said legal document of said list of responsive documents is cited by legal documents in another set of legal documents comprising documents included in said database; wherein said set of legal documents of said list of responsive documents is generated by performing a query on a database; sorting said set of legal documents generated by performing said query in an order based upon said number; and communicating results of said sorting step, in an order corresponding to the order in which legal documents of said set of legal documents generated by performing said query are placed by said sorting step, to a user. 22. The method of claim 18 , wherein said set of legal documents and said another set of legal documents are the same. | 0.598639 |
9,710,463 | 5 | 12 | 5. The method of claim 1 wherein performing the further processing includes selecting and performing a recovery strategy according the identified characteristic. | 5. The method of claim 1 wherein performing the further processing includes selecting and performing a recovery strategy according the identified characteristic. 12. The method of claim 5 wherein performing the recovery strategy includes soliciting and receiving input for the recovery strategy from the first user for disambiguation of a homophone, ambiguous word sense, or an idiom in the first language. | 0.658263 |
10,108,712 | 17 | 18 | 17. A non-transitory computer readable medium comprising computer readable instructions that, when executed by a device, cause the device to: receive one or more QRIL records, each QRIL record comprising a trigger value, a query rewrite value, and one or more metaflag elements comprising a query rewrite type metaflag that identifies each QRIL record as associated with a query rewrite type; identify a first query rewrite type for a first QRIL record of the one or more QRIL, records; process, using the first query rewrite type, the first QRIL record to identify a set of precedence issues between the first QRIL record and at least one overlapping or conflicting QRIL record; identify a first search engine and a first rewrite semantic structure associated with the first search engine; and generate a first standardized rewrite from the first QRIL record, the set of precedence issues, and the first rewrite semantic structure, wherein the first standardized rewrite comprises a standardized trigger value and a standardized rewrite expression for rewriting an input query for the first search engine, and a bag of words dictionary; and provide the first standardized rewrite to facilitate executing a user query using the first standardized rewrite. | 17. A non-transitory computer readable medium comprising computer readable instructions that, when executed by a device, cause the device to: receive one or more QRIL records, each QRIL record comprising a trigger value, a query rewrite value, and one or more metaflag elements comprising a query rewrite type metaflag that identifies each QRIL record as associated with a query rewrite type; identify a first query rewrite type for a first QRIL record of the one or more QRIL, records; process, using the first query rewrite type, the first QRIL record to identify a set of precedence issues between the first QRIL record and at least one overlapping or conflicting QRIL record; identify a first search engine and a first rewrite semantic structure associated with the first search engine; and generate a first standardized rewrite from the first QRIL record, the set of precedence issues, and the first rewrite semantic structure, wherein the first standardized rewrite comprises a standardized trigger value and a standardized rewrite expression for rewriting an input query for the first search engine, and a bag of words dictionary; and provide the first standardized rewrite to facilitate executing a user query using the first standardized rewrite. 18. The non-transitory computer readable instruction medium of claim 17 wherein processing the first QRIL record to identify a set of precedence issues associated with the first QRIL record comprises: identifying a second QRIL record, wherein a first set of tokens of a first trigger of the first QRIL record are the same as a second set of tokens of a second trigger of the second QRIL record and wherein a first query rewrite type associated with the first QRIL record is different than a second query rewrite type associated with the second QRIL record. | 0.5 |
9,378,293 | 8 | 16 | 8. A system for creating an output page, the system comprising: a processor; a machine-readable medium with instructions stored thereon, wherein the processor is operable to execute the instructions to configure: a markup language editor to receive page markup language data and to validate the page markup language data according to a schema for the page markup language; the markup language editor operable to receive a selection of one or more available components defined using component markup language, the available components including pre-defined layouts of an output page and at least one component of the one or more available components referenced by a plurality of output pages; a markup language translator to receive the page markup language data, replace calls to components with page markup language data, and to translate the page markup language data to first output markup language data and when the at least one component is changed, updating the plurality of output pages with the change made to the at least one component; and the translator operable to validate at least one component call in the page markup language data. | 8. A system for creating an output page, the system comprising: a processor; a machine-readable medium with instructions stored thereon, wherein the processor is operable to execute the instructions to configure: a markup language editor to receive page markup language data and to validate the page markup language data according to a schema for the page markup language; the markup language editor operable to receive a selection of one or more available components defined using component markup language, the available components including pre-defined layouts of an output page and at least one component of the one or more available components referenced by a plurality of output pages; a markup language translator to receive the page markup language data, replace calls to components with page markup language data, and to translate the page markup language data to first output markup language data and when the at least one component is changed, updating the plurality of output pages with the change made to the at least one component; and the translator operable to validate at least one component call in the page markup language data. 16. The system of claim 8 , wherein the schema comprises an XML schema. | 0.890093 |
8,352,248 | 25 | 26 | 25. A system comprising: a communication channel operably connected to a first communication device and a second communication device; the first communication device, which includes a speech encoder, which processes an input speech signal, resulting in a compressed encoder representation of the input speech signal, a speech recognizer, and a difference encoder, which determines a compressed recognizer representation of a corresponding dictionary speech element that approximates the input speech signal when the speech recognizer identifies the corresponding dictionary speech element, calculates one or more differences between the compressed encoder representation and the compressed recognizer representation, and compiles compressed speech information that includes representations of the one or more differences; wherein the first communication device further includes a transmitter, which transmits the compressed speech information that includes representations of the one or more differences when the speech recognizer identifies the corresponding dictionary speech element and transmits the compressed encoder representation of the input speech signal when the speech recognizer does not identify a dictionary speech element that approximates the input speech signal; and wherein the system further comprises the second communication device, which constructs an output speech signal based on the compressed speech information, and information associated with the corresponding dictionary speech element, and the compressed encoder information. | 25. A system comprising: a communication channel operably connected to a first communication device and a second communication device; the first communication device, which includes a speech encoder, which processes an input speech signal, resulting in a compressed encoder representation of the input speech signal, a speech recognizer, and a difference encoder, which determines a compressed recognizer representation of a corresponding dictionary speech element that approximates the input speech signal when the speech recognizer identifies the corresponding dictionary speech element, calculates one or more differences between the compressed encoder representation and the compressed recognizer representation, and compiles compressed speech information that includes representations of the one or more differences; wherein the first communication device further includes a transmitter, which transmits the compressed speech information that includes representations of the one or more differences when the speech recognizer identifies the corresponding dictionary speech element and transmits the compressed encoder representation of the input speech signal when the speech recognizer does not identify a dictionary speech element that approximates the input speech signal; and wherein the system further comprises the second communication device, which constructs an output speech signal based on the compressed speech information, and information associated with the corresponding dictionary speech element, and the compressed encoder information. 26. The system of claim 25 , wherein the communication channel is a wireless communication channel, and the first device further includes a dipole antenna for sending the compressed speech information over the wireless communication channel. | 0.5 |
8,392,429 | 6 | 10 | 6. A system comprising: one or more computers; and a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving in a computer system a search query; determining, for each web page in a plurality of web pages that satisfy a search query and have a position in a ranked order of web pages that satisfy the search query, whether the web page is a reference page for a book, wherein a particular web page is determined to be a reference page for a particular book when (i) the web page includes a reference to the particular book and has a citation score that satisfies a citation criterion for the particular book, (ii) a citation score of the web page for the particular book exceeds a citation threshold, and (iii) citation scores of the web page for other books referenced on the web page are each less than the citation score for the particular book, wherein the citation score is a measure of relevance of book metadata for the particular book to content of the web page; selecting, from among the web pages, a subset of web pages that are each a reference page for a respective book; assigning a book score to each of the books for which there is at least one reference page in the subset of web pages, where each of the reference pages in the subset referencing a respective book contributes to the book score for the respective book; selecting one or more of the books based on the book scores; generating a book reference for each of the one or more books, wherein each book reference includes at least one of citation information of the respective book or a link to a page of the respective book; and providing, in a response to the search query the book references in addition to one or more web content references, each web content reference linking to one of the plurality of web pages. | 6. A system comprising: one or more computers; and a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving in a computer system a search query; determining, for each web page in a plurality of web pages that satisfy a search query and have a position in a ranked order of web pages that satisfy the search query, whether the web page is a reference page for a book, wherein a particular web page is determined to be a reference page for a particular book when (i) the web page includes a reference to the particular book and has a citation score that satisfies a citation criterion for the particular book, (ii) a citation score of the web page for the particular book exceeds a citation threshold, and (iii) citation scores of the web page for other books referenced on the web page are each less than the citation score for the particular book, wherein the citation score is a measure of relevance of book metadata for the particular book to content of the web page; selecting, from among the web pages, a subset of web pages that are each a reference page for a respective book; assigning a book score to each of the books for which there is at least one reference page in the subset of web pages, where each of the reference pages in the subset referencing a respective book contributes to the book score for the respective book; selecting one or more of the books based on the book scores; generating a book reference for each of the one or more books, wherein each book reference includes at least one of citation information of the respective book or a link to a page of the respective book; and providing, in a response to the search query the book references in addition to one or more web content references, each web content reference linking to one of the plurality of web pages. 10. The system of claim 6 , wherein the operations further comprise: providing the book references in a web page in which the book references will be displayed distinctively from other search results. | 0.528302 |
9,230,562 | 13 | 14 | 13. At least one non-transitory computer-readable storage medium having encoded thereon executable instructions that, when executed by at least one processor, cause the at least one processor to carry out a method comprising: generating feedback information regarding a speaking performance of a person based at least in part on analyzing audio data of a sample of speech of the person and/or text corresponding to the sample of the speech of the person, via automatic speech recognition; and outputting, for display in a user interface, the text corresponding to the speech and the feedback information, wherein outputting the feedback information comprises outputting the feedback information for display as annotations to the text in the user interface, wherein annotations are displayed in the user interface in a manner distinct from display of the text. | 13. At least one non-transitory computer-readable storage medium having encoded thereon executable instructions that, when executed by at least one processor, cause the at least one processor to carry out a method comprising: generating feedback information regarding a speaking performance of a person based at least in part on analyzing audio data of a sample of speech of the person and/or text corresponding to the sample of the speech of the person, via automatic speech recognition; and outputting, for display in a user interface, the text corresponding to the speech and the feedback information, wherein outputting the feedback information comprises outputting the feedback information for display as annotations to the text in the user interface, wherein annotations are displayed in the user interface in a manner distinct from display of the text. 14. The at least one non-transitory computer-readable storage medium of claim 13 , wherein analyzing the audio data and/or the text comprises performing an analysis selected from the group consisting of: textual analytics of the text, capturing timing-related information about the speech from the audio data, and capturing volume data for the speech from the audio data. | 0.5 |
9,098,566 | 1 | 7 | 1. A computer implemented method for implementing relational views from RDF data using a processor, comprising: identifying a class from a class identifier in RDF data; identifying information for two or more properties relating to a subject of the class, wherein the two or more properties comprises a single-value property and a multi-value property; creating a first view definition for the class from the RDF data, where the first view definition corresponds to a first relational view of the RDF data that maps the single-value property; and creating a second view definition for property information corresponding to the multi-value property from the RDF data, where the second view definition corresponds to a second relational view of the RDF data that maps the multi-value property, wherein the second relational view is populated with multi-value property objects of the subject in the first relational view. | 1. A computer implemented method for implementing relational views from RDF data using a processor, comprising: identifying a class from a class identifier in RDF data; identifying information for two or more properties relating to a subject of the class, wherein the two or more properties comprises a single-value property and a multi-value property; creating a first view definition for the class from the RDF data, where the first view definition corresponds to a first relational view of the RDF data that maps the single-value property; and creating a second view definition for property information corresponding to the multi-value property from the RDF data, where the second view definition corresponds to a second relational view of the RDF data that maps the multi-value property, wherein the second relational view is populated with multi-value property objects of the subject in the first relational view. 7. The method of claim 1 in which each identified class corresponds to a separate view. | 0.766129 |
8,249,877 | 10 | 13 | 10. A computer-implemented method performed by a client device, the method comprising: (A) receiving a request from a requester to apply automatic speech recognition to an audio signal; (B) providing the audio signal to a first automatic speech recognition engine in the client device; (C) receiving first speech recognition results from the first automatic speech recognition engine; (D) providing the audio signal to a second automatic speech recognition engine in a server device; (E) receiving second speech recognition results from the second automatic speech recognition engine; (F) producing hybrid speech recognition results based on the first speech recognition results and the second speech recognition results; and (G) providing the hybrid speech recognition results to the requester in response to the request. | 10. A computer-implemented method performed by a client device, the method comprising: (A) receiving a request from a requester to apply automatic speech recognition to an audio signal; (B) providing the audio signal to a first automatic speech recognition engine in the client device; (C) receiving first speech recognition results from the first automatic speech recognition engine; (D) providing the audio signal to a second automatic speech recognition engine in a server device; (E) receiving second speech recognition results from the second automatic speech recognition engine; (F) producing hybrid speech recognition results based on the first speech recognition results and the second speech recognition results; and (G) providing the hybrid speech recognition results to the requester in response to the request. 13. The method of claim 10 , wherein the client device is configured to treat one of the first and second automatic speech recognition engines as a preferred speech recognition engine, and: wherein (E) comprises receiving the second speech recognition results at an arbitration engine in the client device at a first time; wherein (C) comprises receiving the first speech recognition results at the arbitration engine in the client device at a second time that is later than the first time; and wherein (F) comprises: (F)(1) including the second recognition results in the hybrid speech recognition results; and (F)(2) including the first speech recognition results in the hybrid speech recognition results only if the first automatic speech recognition engine is the preferred speech recognition engine. | 0.500621 |
8,010,539 | 4 | 5 | 4. The method of claim 1 , wherein identifying a plurality of sentiment phrases comprises identifying a noun phrase corresponding to a property of the entity and an adjective associated with the noun phrase. | 4. The method of claim 1 , wherein identifying a plurality of sentiment phrases comprises identifying a noun phrase corresponding to a property of the entity and an adjective associated with the noun phrase. 5. The method of claim 4 , wherein identifying a noun phrase corresponding to a property of the entity and an adjective associated with the noun phrase comprises identifying a match between a regular expression and a textual review. | 0.550388 |
5,574,802 | 15 | 16 | 15. The method of claim 8, wherein the storing step further comprises storing a regular expression for each level of each stored structural model. | 15. The method of claim 8, wherein the storing step further comprises storing a regular expression for each level of each stored structural model. 16. The method of claim 15, wherein the converting step further comprises generating a document expression for each level of the document image. | 0.5 |
8,150,874 | 11 | 13 | 11. A computer-readable medium that stores a set of computer instructions for selecting external corpora to integrate into primary internet search engine results in response to a query, said instructions for: receiving a query, at least one server computer, from a client computer over a network; storing an offline model probability in memory; processing said query by: computing a first probabilistic estimate of relevance of external corpora to said query from offline query-related data from said offline model probability; combining said offline query-related data with user feedback data to determine a second probabilistic estimate of relevance of said external corpora to said query; selecting said external corpora to integrate into a response to said query based on said second probabilistic estimate of relevance of said external corpora to said query; and transmitting over said network, for display on said client computer search results for said query that include said external corpora selected. | 11. A computer-readable medium that stores a set of computer instructions for selecting external corpora to integrate into primary internet search engine results in response to a query, said instructions for: receiving a query, at least one server computer, from a client computer over a network; storing an offline model probability in memory; processing said query by: computing a first probabilistic estimate of relevance of external corpora to said query from offline query-related data from said offline model probability; combining said offline query-related data with user feedback data to determine a second probabilistic estimate of relevance of said external corpora to said query; selecting said external corpora to integrate into a response to said query based on said second probabilistic estimate of relevance of said external corpora to said query; and transmitting over said network, for display on said client computer search results for said query that include said external corpora selected. 13. The computer-readable medium of claim 11 , further comprising computing said offline model by: e) gathering data from query and corpus features; f) gathering data from query log features; g) gathering data from query string features; and h) from elements a-c, forming an initial offline estimate of the probability of relevance of each said external corpora to said first query. | 0.680602 |
8,612,412 | 1 | 4 | 1. A method of searching for a directory in a file system, the directory characterized by a directory name, the directory comprising computer storage resources, the computer storage resources including words of text, each word of text characterized by a frequency of occurrence among the computer storage resources, the method comprising: selecting, by a word selection module for inclusion in a word list, a word of text whose frequency of occurrence meets a predefined criterion; inserting, by the word selection module into the word list, the selected word; inserting, by an indexing module into a search index, the selected word in association with the directory name; receiving, by a search module from a user, a search request that includes the selected word; returning, by the search module to the user in dependence upon the search request and the search index, a search result that includes the directory name, wherein: the predefined criterion comprises a predefined minimum number of computer storage resources in which a word of text must occur in order to be selected; the frequency of occurrence comprises an actual number of computer storage resources in which the word of text occurs; and selecting a word of text whose frequency of occurrence meets a predefined criterion further comprises selecting a word of text that occurs in an actual number of computer storage resources that is at least equal to the predefined minimum number of computer storage resources in which a word of text must occur in order to be selected. | 1. A method of searching for a directory in a file system, the directory characterized by a directory name, the directory comprising computer storage resources, the computer storage resources including words of text, each word of text characterized by a frequency of occurrence among the computer storage resources, the method comprising: selecting, by a word selection module for inclusion in a word list, a word of text whose frequency of occurrence meets a predefined criterion; inserting, by the word selection module into the word list, the selected word; inserting, by an indexing module into a search index, the selected word in association with the directory name; receiving, by a search module from a user, a search request that includes the selected word; returning, by the search module to the user in dependence upon the search request and the search index, a search result that includes the directory name, wherein: the predefined criterion comprises a predefined minimum number of computer storage resources in which a word of text must occur in order to be selected; the frequency of occurrence comprises an actual number of computer storage resources in which the word of text occurs; and selecting a word of text whose frequency of occurrence meets a predefined criterion further comprises selecting a word of text that occurs in an actual number of computer storage resources that is at least equal to the predefined minimum number of computer storage resources in which a word of text must occur in order to be selected. 4. The method of claim 1 further comprising determining, by the word selection module asynchronously with respect to selecting a word text whose frequency of occurrence meets a predefined criterion, a frequency of occurrence for the word of text. | 0.79902 |
9,476,730 | 18 | 20 | 18. The method of claim 17 , comprising determining a contextual frame of reference and using the contextual frame of reference to identify the larger-scale objects. | 18. The method of claim 17 , comprising determining a contextual frame of reference and using the contextual frame of reference to identify the larger-scale objects. 20. The method of claim 18 , comprising, iteratively: executing a context-free feature-sharing algorithm to recognize the smaller-scale objects, obtaining context information, and classifying the smaller-scale objects based on the context information. | 0.5 |
9,785,714 | 5 | 7 | 5. The method as claimed in claim 4 , wherein the software application is a client-side application. | 5. The method as claimed in claim 4 , wherein the software application is a client-side application. 7. The method as claimed in claim 5 , wherein the search origins include links identified by accepting a user input of a search origin from which the user wishes a search to commence. | 0.613924 |
8,520,812 | 9 | 10 | 9. A computer system for serializing asynchronous communications that are received and played over a plurality of telephone interfaces of users participating in a telephone conference, comprising: a memory storing computer-executable instructions that: receives from a first user first audio as a first audio segment; stores in a queue the first audio segment; plays live for a second user the first audio as the first audio is received; while the first audio is being received, receives from a third user second audio as a second audio segment; stores at the end of at the end of the queue the second audio segment; after the second audio segment is stored at the end of the queue, terminates the first audio segment; after terminating the first audio segment, plays for the first user and the second user the second audio of the second audio segment; and after playing the second audio, receives from the first user third audio as a third audio segment as a resumption of audio of the first user; stores in the queue the third audio segment; wherein the queue contains a serialization of audio segments that are received asynchronously; and a processor that executes the computer-executable instructions stored in the memory. | 9. A computer system for serializing asynchronous communications that are received and played over a plurality of telephone interfaces of users participating in a telephone conference, comprising: a memory storing computer-executable instructions that: receives from a first user first audio as a first audio segment; stores in a queue the first audio segment; plays live for a second user the first audio as the first audio is received; while the first audio is being received, receives from a third user second audio as a second audio segment; stores at the end of at the end of the queue the second audio segment; after the second audio segment is stored at the end of the queue, terminates the first audio segment; after terminating the first audio segment, plays for the first user and the second user the second audio of the second audio segment; and after playing the second audio, receives from the first user third audio as a third audio segment as a resumption of audio of the first user; stores in the queue the third audio segment; wherein the queue contains a serialization of audio segments that are received asynchronously; and a processor that executes the computer-executable instructions stored in the memory. 10. The computer system of claim 9 including computer-executable instructions that, after storing the third audio segment in the queue, plays for a fourth user audio of the segments of the queue in chronological order. | 0.617544 |
10,074,052 | 1 | 5 | 1. A method for transmitting at least one real-time customized notification alert to an electronic communication device of at least one user characterized by enabling a software-based platform to process a profile data and a contextual data associated with the at least one user to generate the customized notification, the method comprising computer-implemented steps of: acquiring the profile data for the user, wherein the profile data comprises user specific contextual information, demographic profile and a list of event types for which a notification alert in a specific format is desired; pre-processing, filtering, extending and on-demand loading or unloading structured background knowledge comprising geographical information and changing information about a plurality of users in order to derive a refined structured background knowledge relevant to the profile data for the at least one user using a set of one or more rules or one or more queries registered through an application program module communicatively coupled to the electronic communication device; receiving at least one raw event feed from one or more heterogeneous sources in assorted data formats, wherein the heterogeneous sources are a part of sensor network communicating with the electronic communication device though a communication network; determining a raw event data and a raw context data from the received raw event feed by using a context mapping database storing the user specific contextual information, wherein the received raw event feed is of at least one data format selected from a group comprising of text, image, video, audio, multimedia and combinations thereof, and wherein the raw event data is selected from a group comprising of traffic jams, robbery, flood, climate updates, traffic accident, road blockage, criminal activity, mutually affecting event among multiple users and combinations thereof; converting the raw event data and the raw context data into a structured knowledge format; loading a combined structured knowledge comprising the refined structured background knowledge, the structured raw event data and the structured raw context data into a stream reasoning module; applying stream reasoning by querying the combined structured knowledge to determine if the received raw event feed is relevant to the acquired profile data and the user-specific contextual information for the user; and transmitting the notification alert on the electronic communication device of the user in the specified format if the received raw event feed is identified as relevant by the applied stream reasoning. | 1. A method for transmitting at least one real-time customized notification alert to an electronic communication device of at least one user characterized by enabling a software-based platform to process a profile data and a contextual data associated with the at least one user to generate the customized notification, the method comprising computer-implemented steps of: acquiring the profile data for the user, wherein the profile data comprises user specific contextual information, demographic profile and a list of event types for which a notification alert in a specific format is desired; pre-processing, filtering, extending and on-demand loading or unloading structured background knowledge comprising geographical information and changing information about a plurality of users in order to derive a refined structured background knowledge relevant to the profile data for the at least one user using a set of one or more rules or one or more queries registered through an application program module communicatively coupled to the electronic communication device; receiving at least one raw event feed from one or more heterogeneous sources in assorted data formats, wherein the heterogeneous sources are a part of sensor network communicating with the electronic communication device though a communication network; determining a raw event data and a raw context data from the received raw event feed by using a context mapping database storing the user specific contextual information, wherein the received raw event feed is of at least one data format selected from a group comprising of text, image, video, audio, multimedia and combinations thereof, and wherein the raw event data is selected from a group comprising of traffic jams, robbery, flood, climate updates, traffic accident, road blockage, criminal activity, mutually affecting event among multiple users and combinations thereof; converting the raw event data and the raw context data into a structured knowledge format; loading a combined structured knowledge comprising the refined structured background knowledge, the structured raw event data and the structured raw context data into a stream reasoning module; applying stream reasoning by querying the combined structured knowledge to determine if the received raw event feed is relevant to the acquired profile data and the user-specific contextual information for the user; and transmitting the notification alert on the electronic communication device of the user in the specified format if the received raw event feed is identified as relevant by the applied stream reasoning. 5. The method of claim 1 , wherein the pre-processing step comprises identifying domain-dependent knowledge from the background knowledge corresponding to data needed for generating relevant alerts for the user. | 0.778361 |
9,418,305 | 11 | 12 | 11. The system of claim 9 further comprising an image-capturing unit, wherein said image of said license plate is captured with an image-capturing unit and wherein said image-capturing unit communicates with said at least one processor. | 11. The system of claim 9 further comprising an image-capturing unit, wherein said image of said license plate is captured with an image-capturing unit and wherein said image-capturing unit communicates with said at least one processor. 12. The system of claim 11 wherein said instructions are further configured for performing a plate localization of said image of said license plate after capturing said image of said license plate via said image-capturing unit. | 0.5 |
7,849,114 | 13 | 15 | 13. A computer-readable storage medium storing computer instructions, which when executed, enables a computer system to generate a virtual database, the generating comprising: providing, in a virtual container, Service Data Objects (SDOs) corresponding to each of a plurality of database tables; forming a Virtual Bounded Persistent Memory (VBPM) instance, the forming including interrelating at least two of the SDOs in the virtual container, wherein the forming further includes interrelating at least three of the SDOs in the virtual container, wherein at least one SDO is related to at least one other SDO and is not related to at least one other SDO, wherein the VBPM is generated on demand and removed on demand; receiving a query for the database tables in an interface for the virtual container; executing the query against the VBPM instance; and manipulating data contained in at least one of the plurality of database tables using the SDOs in response to the query, without passing the query through to the plurality of database tables, wherein the VBPM further includes data mediator services which support creation of an associative table for resolving many-to-many relationships and supporting query of joins between the plurality of SDOs interrelated in the virtual container. | 13. A computer-readable storage medium storing computer instructions, which when executed, enables a computer system to generate a virtual database, the generating comprising: providing, in a virtual container, Service Data Objects (SDOs) corresponding to each of a plurality of database tables; forming a Virtual Bounded Persistent Memory (VBPM) instance, the forming including interrelating at least two of the SDOs in the virtual container, wherein the forming further includes interrelating at least three of the SDOs in the virtual container, wherein at least one SDO is related to at least one other SDO and is not related to at least one other SDO, wherein the VBPM is generated on demand and removed on demand; receiving a query for the database tables in an interface for the virtual container; executing the query against the VBPM instance; and manipulating data contained in at least one of the plurality of database tables using the SDOs in response to the query, without passing the query through to the plurality of database tables, wherein the VBPM further includes data mediator services which support creation of an associative table for resolving many-to-many relationships and supporting query of joins between the plurality of SDOs interrelated in the virtual container. 15. The computer-readable storage medium of claim 13 , wherein the plurality of database tables are stored among a plurality of databases. | 0.589286 |
8,627,276 | 32 | 33 | 32. A non-transitory computer-readable medium storing instructions, the instructions comprising: one or more instructions which, when executed by a processor, cause the processor to: identify a plurality of entities having relationships therebetween; access a first entity from the plurality of entities; access a second entity from the plurality of entities; map the first entity to the second entity, the one or more instructions to map the first entity to the second entity including: one or more instructions to bi-directionally map a first part of the first entity and a second part of the second entity; determine, based on the mapping, if a graphical affordance, associated with at least one of an intermediate representation of a graphical model or code associated with the graphical model, is selected; and selectively identify, based on the determining, one or more portions of the graphical model or one or more portions of the at least one of the intermediate representation of the graphical model or the code associated with the graphical model, the one or more instructions to identify the one or more portions of the graphical model including: one or more instructions to receive information associated with browsing the at least one of the intermediate representation of the graphical model or the code associated with the graphical model; and one or more instructions to identify the one or more portions of the graphical model based on the received information associated with browsing the at least one of the intermediate representation of the graphical model or the code associated with the graphical model, and the one or more instructions to identify the one or more portions of the at least one of the intermediate representation of the graphical model or the code associated with the graphical model including: one or more instructions to receive information associated with selecting the graphical affordance of the graphical model; and one or more instructions to identify the at least one of the intermediate representation of the graphical model or the code associated with the graphical model based on the received information associated with selecting the graphical affordance of the graphical model. | 32. A non-transitory computer-readable medium storing instructions, the instructions comprising: one or more instructions which, when executed by a processor, cause the processor to: identify a plurality of entities having relationships therebetween; access a first entity from the plurality of entities; access a second entity from the plurality of entities; map the first entity to the second entity, the one or more instructions to map the first entity to the second entity including: one or more instructions to bi-directionally map a first part of the first entity and a second part of the second entity; determine, based on the mapping, if a graphical affordance, associated with at least one of an intermediate representation of a graphical model or code associated with the graphical model, is selected; and selectively identify, based on the determining, one or more portions of the graphical model or one or more portions of the at least one of the intermediate representation of the graphical model or the code associated with the graphical model, the one or more instructions to identify the one or more portions of the graphical model including: one or more instructions to receive information associated with browsing the at least one of the intermediate representation of the graphical model or the code associated with the graphical model; and one or more instructions to identify the one or more portions of the graphical model based on the received information associated with browsing the at least one of the intermediate representation of the graphical model or the code associated with the graphical model, and the one or more instructions to identify the one or more portions of the at least one of the intermediate representation of the graphical model or the code associated with the graphical model including: one or more instructions to receive information associated with selecting the graphical affordance of the graphical model; and one or more instructions to identify the at least one of the intermediate representation of the graphical model or the code associated with the graphical model based on the received information associated with selecting the graphical affordance of the graphical model. 33. The computer-readable medium of claim 32 , where the first part includes a portion of the graphical model and the second part includes a segment of the code. | 0.763235 |
9,305,553 | 16 | 17 | 16. The computer system of claim 15 wherein the speech recognition engine generation module is further adapted to: (a) create a first speech recognition engine based on a first one of the speech corpuses; and (b) apply the first speech recognition engine to produce a recognized version of a second one of the speech corpuses, and wherein the comparison module is further adapted to calculate the distance as a first edit distance between the recognized version of the second one of the speech corpuses and the transcription of the second one of the speech corpuses. | 16. The computer system of claim 15 wherein the speech recognition engine generation module is further adapted to: (a) create a first speech recognition engine based on a first one of the speech corpuses; and (b) apply the first speech recognition engine to produce a recognized version of a second one of the speech corpuses, and wherein the comparison module is further adapted to calculate the distance as a first edit distance between the recognized version of the second one of the speech corpuses and the transcription of the second one of the speech corpuses. 17. The computer system of claim 16 wherein the clustering module is further adapted to organize the second speech corpus into the same cluster as the first speech corpus if the first edit distance is less than a particular value. | 0.782609 |
9,811,383 | 2 | 3 | 2. The method of claim 1 , further comprising utilizing a semantic relation graph based on the ontology to determine that the first atomic task is equivalent to the second atomic task. | 2. The method of claim 1 , further comprising utilizing a semantic relation graph based on the ontology to determine that the first atomic task is equivalent to the second atomic task. 3. The method of claim 2 , further comprising determining the semantic relation graph prior to receiving the composite task. | 0.5 |
7,533,034 | 1 | 15 | 1. A computer implemented method for providing through a computer network to business management a plan for implementing a user's suggestion for business improvement, the method comprising: in a first computer process, causing presentation to a user seeking to submit a suggestion for business improvement, a series of two or more templates for entering a structured response on a terminal device, wherein one of the templates presented to the user allows the user to characterize the type of suggestion as falling into at least one of a plurality of categories selected from a group of cost saving, revenue generation, quality improvement, safety improvement, customer service improvement, development of a new product, policy change and advertising or corporate slogan; receiving over a computer network the structured response, entered into the two or more templates from the user, wherein the structured response includes a characterization of the type of suggestion entered into one or more templates by the user and a server logically selects at least one of the templates presented to the user according to the type of suggestion characterized by the user; and in a second computer process, determining the network routing of data from the structured response to business management based upon entries of the response in one or more templates. | 1. A computer implemented method for providing through a computer network to business management a plan for implementing a user's suggestion for business improvement, the method comprising: in a first computer process, causing presentation to a user seeking to submit a suggestion for business improvement, a series of two or more templates for entering a structured response on a terminal device, wherein one of the templates presented to the user allows the user to characterize the type of suggestion as falling into at least one of a plurality of categories selected from a group of cost saving, revenue generation, quality improvement, safety improvement, customer service improvement, development of a new product, policy change and advertising or corporate slogan; receiving over a computer network the structured response, entered into the two or more templates from the user, wherein the structured response includes a characterization of the type of suggestion entered into one or more templates by the user and a server logically selects at least one of the templates presented to the user according to the type of suggestion characterized by the user; and in a second computer process, determining the network routing of data from the structured response to business management based upon entries of the response in one or more templates. 15. The method according to claim 1 , wherein determining the network routing is dependent in part on the suggestion characterized by the user. | 0.738095 |
5,493,490 | 12 | 13 | 12. The system of claim 1 wherein: (a) the receive means comprises means for receiving a plurality of performance specifications related to performance of the vehicle in a variety of configurations which are of varying interest to different potential customers who may purchase the vehicle; and (b) the processing means comprises: (i) means for electronically associating at least one of the answers with one of the performance specification which is of particular interest to the customer who is to receive the proposal; and (ii) means for generating the customized proposal with one or more individualized pages comprising the performance specification which is of particular interest to the customer who is to receive the proposal. | 12. The system of claim 1 wherein: (a) the receive means comprises means for receiving a plurality of performance specifications related to performance of the vehicle in a variety of configurations which are of varying interest to different potential customers who may purchase the vehicle; and (b) the processing means comprises: (i) means for electronically associating at least one of the answers with one of the performance specification which is of particular interest to the customer who is to receive the proposal; and (ii) means for generating the customized proposal with one or more individualized pages comprising the performance specification which is of particular interest to the customer who is to receive the proposal. 13. The system of claim 12 wherein: (a) the input means further comprises means for receiving customer identification data of the customer who is to receive the proposal; and (b) the processing means further comprises means for generating the customized proposal so that each individualized page which comprises the performance specification which is of particular interest to the customer who is to receive the proposal also comprises the customer identification data of the customer who is to receive the proposal. | 0.513208 |
8,769,242 | 1 | 6 | 1. A system for translation map simplification, comprising: a processor; a translation engine operable on the processor, wherein the translation engine comprises: a module to determine a translation map based on a predetermined criterion in response to receiving input data, the translation map being configured for translating the input data from a first format or data model to a second format or data model that is presented in a new map; a module to load the translation map; a module to determine if the translation map extends another map, the other map comprising a referenced map; a module to determine if the translation map comprises at least one map fragment; a module to load the referenced map in response to a determination that the translation map comprises an extension of the referenced map; a module to load the at least one map fragment in response to a determination that the translation map comprises the at least one map fragment; and wherein the system further comprises a compiler operable on the processor to compile the new map based on combining at least the translation map, the referenced map and the at least one map fragment, in response to the translation map not including at least one of a new map reference and a modification to the translation map, and wherein the input data is processed based on the new map to produce translated data specific to the new map. | 1. A system for translation map simplification, comprising: a processor; a translation engine operable on the processor, wherein the translation engine comprises: a module to determine a translation map based on a predetermined criterion in response to receiving input data, the translation map being configured for translating the input data from a first format or data model to a second format or data model that is presented in a new map; a module to load the translation map; a module to determine if the translation map extends another map, the other map comprising a referenced map; a module to determine if the translation map comprises at least one map fragment; a module to load the referenced map in response to a determination that the translation map comprises an extension of the referenced map; a module to load the at least one map fragment in response to a determination that the translation map comprises the at least one map fragment; and wherein the system further comprises a compiler operable on the processor to compile the new map based on combining at least the translation map, the referenced map and the at least one map fragment, in response to the translation map not including at least one of a new map reference and a modification to the translation map, and wherein the input data is processed based on the new map to produce translated data specific to the new map. 6. The system of claim 1 , further comprising a module to import any map fragments to the translation map. | 0.810036 |
8,184,130 | 8 | 12 | 8. A method of interacting with a user of a computing device, said method comprising: in a display area of a graphical user interface (“GUI”), displaying a plurality of thumbnail images with at least a minimum amount of space placed between adjacent thumbnail images, wherein displaying the plurality of thumbnail images comprises arranging the plurality of thumbnail images in a plurality of rows; from the user, receiving movement of a user movable control of the GUI in one of two different directions to concurrently resize the plurality of thumbnail images displayed in said display area, said control having a two-dimensional shape with a surface area; in response to movement of said user movable control, resizing concurrently said plurality of thumbnail images, and adjusting the amount of space to be placed in between the plurality of thumbnail images by dynamically calculating a spacing to be evenly placed between a set of thumbnail images on a particular row based on a size of the particular row, the minimum spacing to be placed between the set of thumbnail images, orientations of the set of thumbnail images, and sizes of the set of thumbnail images; and displaying the resized plurality of thumbnail images with the adjusted amount of space placed in between the plurality of thumbnail images in said display area. | 8. A method of interacting with a user of a computing device, said method comprising: in a display area of a graphical user interface (“GUI”), displaying a plurality of thumbnail images with at least a minimum amount of space placed between adjacent thumbnail images, wherein displaying the plurality of thumbnail images comprises arranging the plurality of thumbnail images in a plurality of rows; from the user, receiving movement of a user movable control of the GUI in one of two different directions to concurrently resize the plurality of thumbnail images displayed in said display area, said control having a two-dimensional shape with a surface area; in response to movement of said user movable control, resizing concurrently said plurality of thumbnail images, and adjusting the amount of space to be placed in between the plurality of thumbnail images by dynamically calculating a spacing to be evenly placed between a set of thumbnail images on a particular row based on a size of the particular row, the minimum spacing to be placed between the set of thumbnail images, orientations of the set of thumbnail images, and sizes of the set of thumbnail images; and displaying the resized plurality of thumbnail images with the adjusted amount of space placed in between the plurality of thumbnail images in said display area. 12. The method of claim 8 further comprising: in response to said movement of said user movable control, automatically moving at least one thumbnail image between at least two rows in said display area. | 0.757212 |
9,137,295 | 1 | 19 | 1. A computer implemented method, comprising: collecting audience data by receiving indications of audience member actions each performed at one of a plurality of computing devices remote from a source of a presentation; determining an intensity and/or emotional engagement level of an audience with the presentation based on one or more of the indications of audience member actions; comparing the determined intensity and/or emotional engagement level to a threshold level of intensity and/or emotional engagement; and in response to the determined intensity and/or emotional engagement level reaching the threshold level; generating content based on the determined intensity and/or emotional engagement level; and sending at least a portion of the content to one or more of the plurality of audience members. | 1. A computer implemented method, comprising: collecting audience data by receiving indications of audience member actions each performed at one of a plurality of computing devices remote from a source of a presentation; determining an intensity and/or emotional engagement level of an audience with the presentation based on one or more of the indications of audience member actions; comparing the determined intensity and/or emotional engagement level to a threshold level of intensity and/or emotional engagement; and in response to the determined intensity and/or emotional engagement level reaching the threshold level; generating content based on the determined intensity and/or emotional engagement level; and sending at least a portion of the content to one or more of the plurality of audience members. 19. The method of claim 1 wherein at least some of the audience members actions are interactions with one or more social media providers. | 0.843249 |
9,576,188 | 1 | 19 | 1. A method, comprising: establishing at least one substantially three dimensional learning model of at least one learning subject; establishing at least one substantially three dimensional gallery model for at least one gallery subject; establishing at least one substantially three dimensional query model of a query subject; determining a transform of at least one parent gallery model from among said at least one gallery model in combination with at least one active learning model from among said at least one learning model so as to yield at least one transformed gallery model, wherein said transformed gallery model approaches correspondence with at least one of said at least one query model in at least one model property as compared with said parent gallery model; applying said transform; and comparing at least one substantially two dimensional transformed gallery image at least substantially corresponding with said at least one transformed gallery model against at least one substantially two dimensional query image at least substantially corresponding with said at least one query model, so as to determine whether said at least one query subject is said at least one gallery subject. | 1. A method, comprising: establishing at least one substantially three dimensional learning model of at least one learning subject; establishing at least one substantially three dimensional gallery model for at least one gallery subject; establishing at least one substantially three dimensional query model of a query subject; determining a transform of at least one parent gallery model from among said at least one gallery model in combination with at least one active learning model from among said at least one learning model so as to yield at least one transformed gallery model, wherein said transformed gallery model approaches correspondence with at least one of said at least one query model in at least one model property as compared with said parent gallery model; applying said transform; and comparing at least one substantially two dimensional transformed gallery image at least substantially corresponding with said at least one transformed gallery model against at least one substantially two dimensional query image at least substantially corresponding with said at least one query model, so as to determine whether said at least one query subject is said at least one gallery subject. 19. The method of claim 1 , wherein: said at least one learning subject comprises a human face; said at least one gallery subject comprises a human face; and said at least one query subject comprises a human face. | 0.816695 |
6,151,021 | 29 | 44 | 29. A computer readable storage medium having program code stored thereon, wherein the program code is arranged so that, when the program code is executed by a computer, a note is displayed, the note has an options area, a notation area, and a grab area, and the notation area and the grab area are different areas of the note and so that, when the options area is activated, a list of options is displayed, wherein the options area contains a preformatted notes option. | 29. A computer readable storage medium having program code stored thereon, wherein the program code is arranged so that, when the program code is executed by a computer, a note is displayed, the note has an options area, a notation area, and a grab area, and the notation area and the grab area are different areas of the note and so that, when the options area is activated, a list of options is displayed, wherein the options area contains a preformatted notes option. 44. The computer readable storage medium of claim 29 wherein the options area contains a cut and/or paste and/or copy option. | 0.5 |
4,413,340 | 34 | 36 | 34. Data decoding apparatus according to claim 30, wherein said output means includes interleaving means for changing the arrangement state of said digital words in said third block. | 34. Data decoding apparatus according to claim 30, wherein said output means includes interleaving means for changing the arrangement state of said digital words in said third block. 36. Data decoding apparatus according to claim 34, wherein said interleaving means includes a plurality of inputs each associated with a respective one of said words of said third block, a like plurality of outputs, said inputs being arranged as six cycles of successive such words, the six cycles together constituting said third block, said outputs being arranged as two cycles of successive words, the two cycles together constituting a block of said corrected digital data signal; and means cyclically distributing the third block of words such that said six cycles are transposed into said two cycles. | 0.507317 |
9,129,303 | 11 | 15 | 11. A method of conducting social network operations in a social networking service, the method executed by a computer system and comprising: operating at least one social network application server for interacting with users of the social network application service, wherein at least some of the users of the social network application service are users of wireless computing devices; providing a first mobile application for interacting with the social network application service via communication with the at least one social network application server, wherein (i) the first mobile application is further operable to employ geolocation functions of a respective wireless device to communicate geolocation information to one or more servers of hardware and software of the social network application, (ii) the first mobile application is programmed to upload photos to a respective user account with text descriptive information manually entered by the respective user for posting on a webpage of the social network application for the respective user, and (iii) at least some entries of text descriptive information communicated from the first mobile application and received by the one or more servers of the social network application are indicative of current activities of respective users; receiving app usage information, by one or more servers of hardware and software, from a plurality of second mobile applications of different types executing on respective wireless computing devices, wherein (i) each of the plurality of second mobile applications includes code for installation on respective wireless computing devices for application operations on respective wireless computing devices, (ii) the plurality of second mobile applications include at least mobile gaming applications that include code for conducting gaming operations, (iii) the plurality of second mobile applications include mobile digital content applications, (iv) the plurality of second mobile application include shopping-related mobile applications for completing shopping operations, and (v) the second plurality of mobile applications are functionally integrated with the social network application service to share social network user activities and user activities of the second plurality of applications; combining app usage information from the second plurality of mobile applications with social network application information, wherein the combining comprises correlating non-social network application activities to respective identities in the social network application service and wherein the app usage information from the plurality of second mobile applications includes app-specific actions or events that differ depending on a respective mobile application or mobile application-type; and providing centralized app advertising, by one or more servers of hardware and software, for the plurality of second mobile applications in a manner that is at least partially dependent upon social network information. | 11. A method of conducting social network operations in a social networking service, the method executed by a computer system and comprising: operating at least one social network application server for interacting with users of the social network application service, wherein at least some of the users of the social network application service are users of wireless computing devices; providing a first mobile application for interacting with the social network application service via communication with the at least one social network application server, wherein (i) the first mobile application is further operable to employ geolocation functions of a respective wireless device to communicate geolocation information to one or more servers of hardware and software of the social network application, (ii) the first mobile application is programmed to upload photos to a respective user account with text descriptive information manually entered by the respective user for posting on a webpage of the social network application for the respective user, and (iii) at least some entries of text descriptive information communicated from the first mobile application and received by the one or more servers of the social network application are indicative of current activities of respective users; receiving app usage information, by one or more servers of hardware and software, from a plurality of second mobile applications of different types executing on respective wireless computing devices, wherein (i) each of the plurality of second mobile applications includes code for installation on respective wireless computing devices for application operations on respective wireless computing devices, (ii) the plurality of second mobile applications include at least mobile gaming applications that include code for conducting gaming operations, (iii) the plurality of second mobile applications include mobile digital content applications, (iv) the plurality of second mobile application include shopping-related mobile applications for completing shopping operations, and (v) the second plurality of mobile applications are functionally integrated with the social network application service to share social network user activities and user activities of the second plurality of applications; combining app usage information from the second plurality of mobile applications with social network application information, wherein the combining comprises correlating non-social network application activities to respective identities in the social network application service and wherein the app usage information from the plurality of second mobile applications includes app-specific actions or events that differ depending on a respective mobile application or mobile application-type; and providing centralized app advertising, by one or more servers of hardware and software, for the plurality of second mobile applications in a manner that is at least partially dependent upon social network information. 15. The method of claim 11 further comprising: detecting one or more active applications of the plurality of second mobile applications for respective users. | 0.586842 |
9,384,292 | 1 | 3 | 1. A method comprising: identifying, by a linguistic service and from content received from an application, an action to be performed that is not performable by the linguistic service, the content being usable to perform the action; responsive to identifying the action to be performed, accessing, by the linguistic service, a customization webpage that is configured to customize the content according to one or more criteria specified for the action to generate customized content, the one or more criteria specified by the application; accessing another webpage that is to perform the action based on the customized content, the other webpage being separate from the application; and causing, by the linguistic service, the customization webpage to communicate the customized content to the other webpage that is to perform the action. | 1. A method comprising: identifying, by a linguistic service and from content received from an application, an action to be performed that is not performable by the linguistic service, the content being usable to perform the action; responsive to identifying the action to be performed, accessing, by the linguistic service, a customization webpage that is configured to customize the content according to one or more criteria specified for the action to generate customized content, the one or more criteria specified by the application; accessing another webpage that is to perform the action based on the customized content, the other webpage being separate from the application; and causing, by the linguistic service, the customization webpage to communicate the customized content to the other webpage that is to perform the action. 3. The method as described in claim 1 , further comprising forming a communication that is usable to insert a customized identifier of the action into the content. | 0.729236 |
9,710,548 | 1 | 6 | 1. A method for using user preferences to customize answer output comprising the steps of: extracting, by a computer using natural language processing, from a first question, one or more user preferences for a first user and one or more sentiment levels for a first user; performing, by a computer, a first semantic search on the first question; receiving, by a computer, a plurality of candidate answers from the first semantic search; responsive to determining, by a computer that the first question contains multiple-parts or multiple-steps, retrieving, by a computer, supplemental information regarding at least one of the candidate answers; selecting, by a computer, one or more of the received candidate answers according to the one or more sentiment levels, or according to the one or more user preferences, or both, and adjusting for the retrieved supplemental information; and producing, by a computer, an output including the selected one or more candidate answers. | 1. A method for using user preferences to customize answer output comprising the steps of: extracting, by a computer using natural language processing, from a first question, one or more user preferences for a first user and one or more sentiment levels for a first user; performing, by a computer, a first semantic search on the first question; receiving, by a computer, a plurality of candidate answers from the first semantic search; responsive to determining, by a computer that the first question contains multiple-parts or multiple-steps, retrieving, by a computer, supplemental information regarding at least one of the candidate answers; selecting, by a computer, one or more of the received candidate answers according to the one or more sentiment levels, or according to the one or more user preferences, or both, and adjusting for the retrieved supplemental information; and producing, by a computer, an output including the selected one or more candidate answers. 6. The method as set forth in claim 1 wherein the selecting comprises a weighting process. | 0.949037 |
9,349,370 | 6 | 8 | 6. A speech recognition method for a computer system to carry out speech recognition, comprising: performing a speech acquisition process including acquiring a speech command spoken by a user; performing a request process including requesting a predetermined speech recognition device to carry out the speech recognition of the speech command acquired in the speech acquisition process; performing a determination process including determining a content of a filler word for filling a waiting time until a result of the requested speech recognition of the speech command is obtained from the speech recognition device; performing a filler speaking process including outputting the determined content of the filler word as speech information during the waiting time; when the result of the speech recognition is acquired from the speech recognition device, performing a response process including responding to the user based on the acquired result of the speech recognition; and performing a sub-recognition process including recognizing a spoken content of the speech command acquired in the speech acquisition process, wherein: the determination process includes creating the content of the filler word containing at least part of the spoken content of the speech command recognized in the sub-recognition process; the filler speaking process includes outputting the filler word determined in the determination process; and the determination process includes creating the filler word by applying at least part of the spoken content of the speech command recognized in the sub-recognition process to a template of preset filler word. | 6. A speech recognition method for a computer system to carry out speech recognition, comprising: performing a speech acquisition process including acquiring a speech command spoken by a user; performing a request process including requesting a predetermined speech recognition device to carry out the speech recognition of the speech command acquired in the speech acquisition process; performing a determination process including determining a content of a filler word for filling a waiting time until a result of the requested speech recognition of the speech command is obtained from the speech recognition device; performing a filler speaking process including outputting the determined content of the filler word as speech information during the waiting time; when the result of the speech recognition is acquired from the speech recognition device, performing a response process including responding to the user based on the acquired result of the speech recognition; and performing a sub-recognition process including recognizing a spoken content of the speech command acquired in the speech acquisition process, wherein: the determination process includes creating the content of the filler word containing at least part of the spoken content of the speech command recognized in the sub-recognition process; the filler speaking process includes outputting the filler word determined in the determination process; and the determination process includes creating the filler word by applying at least part of the spoken content of the speech command recognized in the sub-recognition process to a template of preset filler word. 8. The speech recognition method according to claim 6 , wherein: a ready-made filler word with a completed content is preset; the template of filler word is preset; and the determination process includes: when the sub-recognition process successfully recognizes the spoken content, creating the content of the filler word containing at least part of the spoken content of the speech command acquired by the speech acquisition device; and when the sub-recognition process unsuccessfully recognizes the spoken content, determining the ready-made filler word as an output subject. | 0.5 |
8,103,677 | 1 | 4 | 1. A computer-implemented method for searching, comprising: identifying one or more matching objects matching one or more terms of a search request in a search index; executing one or more return path methods associated with each of the one or more matching objects; wherein each of the one or more return path methods traverses an object tree and returns a parent object, wherein the parent object is added to a list of search result parent objects, wherein the data associated with the parent object is stored along with modification dates, wherein the search request further comprises an evaluation date; and wherein the parent object is stored with one or more effective dates, wherein each effective date comprises a past, present or future date; and wherein an effective state of the parent object is determined at the evaluation date by comparing the evaluation date to one or more of the effective dates; ranking the list of search result parent objects according to a ranking function; and providing the ranked list of search result parent objects. | 1. A computer-implemented method for searching, comprising: identifying one or more matching objects matching one or more terms of a search request in a search index; executing one or more return path methods associated with each of the one or more matching objects; wherein each of the one or more return path methods traverses an object tree and returns a parent object, wherein the parent object is added to a list of search result parent objects, wherein the data associated with the parent object is stored along with modification dates, wherein the search request further comprises an evaluation date; and wherein the parent object is stored with one or more effective dates, wherein each effective date comprises a past, present or future date; and wherein an effective state of the parent object is determined at the evaluation date by comparing the evaluation date to one or more of the effective dates; ranking the list of search result parent objects according to a ranking function; and providing the ranked list of search result parent objects. 4. A method as in claim 1 , wherein data stored in the object tree comprises one or more of the following: human resource data, enterprise data, business application data, and financial data. | 0.5 |
10,073,860 | 12 | 16 | 12. A non-transitory computer-readable storage medium storing computer executable instructions that when executed by a processor perform operations comprising: determining media content text data representing a plurality of words output in a subset of media content during presentation of the media content; determining a first color palette based at least in part on a first keyword of the media content text data textually corresponding to a first name of the first color palette, the first color palette comprising a plurality of colors, wherein determining the first color palette based at least in part on the first keyword of the media content text data textually corresponding to the first name of the first color palette further comprises at least one of: determining that the first name of the first color palette includes the first keyword of the media content text data, or determining that the first name of the first color palette is related to the first keyword of the media content text data using natural language processing; retrieving the plurality of colors from the first color palette; determining ranking data, wherein determining the ranking data comprises: calculating a first cumulative score for a first color of the plurality of colors and a second cumulative score for a second color of the plurality of colors, wherein calculating the first cumulative score and the second cumulative score further comprises: aggregating a first weight for each color palette of a plurality of color palettes comprising the first color; and aggregating a second weight for each color palette of the plurality of color palettes comprising the second color; selecting the first color from the plurality of colors based at least in part on the ranking data that includes the first cumulative score and the second cumulative score; and causing display of the first color during presentation of the media content. | 12. A non-transitory computer-readable storage medium storing computer executable instructions that when executed by a processor perform operations comprising: determining media content text data representing a plurality of words output in a subset of media content during presentation of the media content; determining a first color palette based at least in part on a first keyword of the media content text data textually corresponding to a first name of the first color palette, the first color palette comprising a plurality of colors, wherein determining the first color palette based at least in part on the first keyword of the media content text data textually corresponding to the first name of the first color palette further comprises at least one of: determining that the first name of the first color palette includes the first keyword of the media content text data, or determining that the first name of the first color palette is related to the first keyword of the media content text data using natural language processing; retrieving the plurality of colors from the first color palette; determining ranking data, wherein determining the ranking data comprises: calculating a first cumulative score for a first color of the plurality of colors and a second cumulative score for a second color of the plurality of colors, wherein calculating the first cumulative score and the second cumulative score further comprises: aggregating a first weight for each color palette of a plurality of color palettes comprising the first color; and aggregating a second weight for each color palette of the plurality of color palettes comprising the second color; selecting the first color from the plurality of colors based at least in part on the ranking data that includes the first cumulative score and the second cumulative score; and causing display of the first color during presentation of the media content. 16. The non-transitory computer-readable storage medium of claim 12 , wherein the operations further comprise: selecting a second keyword from the plurality of words, the second keyword different from the first keyword; determining a second color palette based at least in part on the second keyword textually corresponding to a second name of the second color palette, the second color palette different from the first color palette; and causing display of a color from the second color palette instead of the first color during presentation of the media content. | 0.5 |
8,290,778 | 1 | 15 | 1. Computerized apparatus comprising: a wireless interface; data processing apparatus; a touch-screen input and display device; a speech recognition apparatus in data communication with the data processing apparatus; and a storage apparatus in data communication with the data processing apparatus, said storage apparatus comprising at least one computer program, said at least one program being configured to: receive a digitized speech input via the speech recognition apparatus, the input relating to an organization or entity which a user wishes to locate; based at least in part on the input, cause identification of a location associated with the organization or entity; and provide a graphical or visual representation of the location on the touch screen input and display device in order to aid a user in finding the organization or entity, the graphical or visual representation of the location also comprising a graphical or visual representation of the surroundings of the organization or entity. | 1. Computerized apparatus comprising: a wireless interface; data processing apparatus; a touch-screen input and display device; a speech recognition apparatus in data communication with the data processing apparatus; and a storage apparatus in data communication with the data processing apparatus, said storage apparatus comprising at least one computer program, said at least one program being configured to: receive a digitized speech input via the speech recognition apparatus, the input relating to an organization or entity which a user wishes to locate; based at least in part on the input, cause identification of a location associated with the organization or entity; and provide a graphical or visual representation of the location on the touch screen input and display device in order to aid a user in finding the organization or entity, the graphical or visual representation of the location also comprising a graphical or visual representation of the surroundings of the organization or entity. 15. The apparatus of claim 1 , wherein the at least one computer program is further configured to receive and utilize digitized speech in an iterative or hierarchical fashion to progress through a menu structure comprising multiple possible matching entities. | 0.705011 |
9,412,367 | 58 | 60 | 58. Computerized information and display apparatus configured to receive inputs via a plurality of different input modes and provide a user with multiple types of information via a plurality of output modalities, the computerized information and display apparatus further disposed at least partly within a transport device configured to convey one or more persons from one place to another and configured to be operative during said conveyance, the computerized information and display apparatus comprising: data processing apparatus comprising at least a central processor and a digital signal processor (DSP) and a graphics co-processor; a first wireless interface in data communication with at least a portion of the data processing apparatus; a data interface in data communication with at least a portion of the data processing apparatus and configured to enable transfer of data between the computerized information and display apparatus and a portable electronic device; speech processing apparatus in data communication with at least a portion of the data processing apparatus, the speech processing apparatus configured to digitize the user's speech input so as to enable subsequent recognition of one or more words within the speech input, the one or more words being part of a name of an organization or entity which the user wishes to locate; speech synthesis apparatus in data communication with at least a portion of the data processing apparatus; a display device in data communication with at least a portion of the data processing apparatus; data storage apparatus in data communication with at least a portion of the data processing apparatus; and at least one storage device having at least one computer program disposed thereon, the at least one computer program operative to run on at least a portion of the data processing apparatus and configured to, upon execution: utilize the digitized speech input to cause performance of a search of data relating to a plurality of organizations or entities to attempt to identify at least one match for the user's speech input, the search producing a plurality of possible matches; display a listing of the plurality of possible matches on the display device; receive user input subsequent to the speech input to identify one of the plurality of possible matches that the user desires to obtain further information on; and cause presentation of the further information associated with the one of the plurality of matches via at least the display device, the further information comprising a graphical representation of a location associated with the identified one match, including at least its immediate surroundings; and wherein the computerized information and display apparatus is further configured to: establish a temporary data link with the portable electronic device via the data interface; receive data initiated from an application computer program operative to run on the portable electronic device; based at least in part on the received data, provide at least a portion of the received information to the portable electronic device via the data interface, the at least portion of the received information useful for operation with the application computer program on the portable electronic device so as to provide the user at least a portion of the received information via a display device of the portable electronic device; wherein the computerized information and display apparatus further comprises a radio frequency apparatus configured to receive data uniquely identifying a portable radio frequency device associated with the user and, based at least on the data uniquely identifying the portable radio frequency device, cause enablement of one or more functions within the transport device; and wherein the radio frequency apparatus comprises at least one computer program configured to, when executed, decode at least a portion of an encoded transmission from the portable radio frequency device in order to obtain the data uniquely identifying the portable radio frequency device, the encoding of the transmission performed at least in part to hide or make secret at least a portion of the data uniquely identifying the portable radio frequency device. | 58. Computerized information and display apparatus configured to receive inputs via a plurality of different input modes and provide a user with multiple types of information via a plurality of output modalities, the computerized information and display apparatus further disposed at least partly within a transport device configured to convey one or more persons from one place to another and configured to be operative during said conveyance, the computerized information and display apparatus comprising: data processing apparatus comprising at least a central processor and a digital signal processor (DSP) and a graphics co-processor; a first wireless interface in data communication with at least a portion of the data processing apparatus; a data interface in data communication with at least a portion of the data processing apparatus and configured to enable transfer of data between the computerized information and display apparatus and a portable electronic device; speech processing apparatus in data communication with at least a portion of the data processing apparatus, the speech processing apparatus configured to digitize the user's speech input so as to enable subsequent recognition of one or more words within the speech input, the one or more words being part of a name of an organization or entity which the user wishes to locate; speech synthesis apparatus in data communication with at least a portion of the data processing apparatus; a display device in data communication with at least a portion of the data processing apparatus; data storage apparatus in data communication with at least a portion of the data processing apparatus; and at least one storage device having at least one computer program disposed thereon, the at least one computer program operative to run on at least a portion of the data processing apparatus and configured to, upon execution: utilize the digitized speech input to cause performance of a search of data relating to a plurality of organizations or entities to attempt to identify at least one match for the user's speech input, the search producing a plurality of possible matches; display a listing of the plurality of possible matches on the display device; receive user input subsequent to the speech input to identify one of the plurality of possible matches that the user desires to obtain further information on; and cause presentation of the further information associated with the one of the plurality of matches via at least the display device, the further information comprising a graphical representation of a location associated with the identified one match, including at least its immediate surroundings; and wherein the computerized information and display apparatus is further configured to: establish a temporary data link with the portable electronic device via the data interface; receive data initiated from an application computer program operative to run on the portable electronic device; based at least in part on the received data, provide at least a portion of the received information to the portable electronic device via the data interface, the at least portion of the received information useful for operation with the application computer program on the portable electronic device so as to provide the user at least a portion of the received information via a display device of the portable electronic device; wherein the computerized information and display apparatus further comprises a radio frequency apparatus configured to receive data uniquely identifying a portable radio frequency device associated with the user and, based at least on the data uniquely identifying the portable radio frequency device, cause enablement of one or more functions within the transport device; and wherein the radio frequency apparatus comprises at least one computer program configured to, when executed, decode at least a portion of an encoded transmission from the portable radio frequency device in order to obtain the data uniquely identifying the portable radio frequency device, the encoding of the transmission performed at least in part to hide or make secret at least a portion of the data uniquely identifying the portable radio frequency device. 60. The computerized information and display apparatus of claim 58 , wherein the at least portion of the received information is configured or selected based at least in part on the identification of the portable radio frequency device. | 0.5 |
9,378,529 | 10 | 12 | 10. A method comprising: receiving a plurality of posts of content from users of an online system; receiving a request from a viewing user of the online system for posts associated with a plurality of other users of the online system; selecting at least two candidate posts for the viewing user, the at least two candidate posts associated with one or more other users of the online system; receiving, for each of a plurality of types of interaction that the viewing user may have with each candidate story, a value to the social networking system of the viewing user performing the type of interaction on a candidate story; for each of the plurality of types of interaction, determining a probability of the viewing user performing the type of interaction on a candidate story; computing an expected value score for each of the selected at least two candidate stories, the expected value score based on: for each of the plurality of types of interaction, (1) the probability of the viewing user performing the type of interaction on a candidate story, and (2) the value to the social networking system of the viewing user performing the type of interaction on a candidate story; ranking the selected at least two candidate posts based at least in part on the expected value scores; selecting a set of the candidate posts based at least in part on the ranking; and sending the selected candidate posts for display to the viewing user. | 10. A method comprising: receiving a plurality of posts of content from users of an online system; receiving a request from a viewing user of the online system for posts associated with a plurality of other users of the online system; selecting at least two candidate posts for the viewing user, the at least two candidate posts associated with one or more other users of the online system; receiving, for each of a plurality of types of interaction that the viewing user may have with each candidate story, a value to the social networking system of the viewing user performing the type of interaction on a candidate story; for each of the plurality of types of interaction, determining a probability of the viewing user performing the type of interaction on a candidate story; computing an expected value score for each of the selected at least two candidate stories, the expected value score based on: for each of the plurality of types of interaction, (1) the probability of the viewing user performing the type of interaction on a candidate story, and (2) the value to the social networking system of the viewing user performing the type of interaction on a candidate story; ranking the selected at least two candidate posts based at least in part on the expected value scores; selecting a set of the candidate posts based at least in part on the ranking; and sending the selected candidate posts for display to the viewing user. 12. The method of claim 10 , wherein determining the probability that the viewing user performing perform each of the plurality of types of interactions on the candidate post comprises: identifying one or more attributes of the candidate post; identifying one or more posts with which the user previously interacted having at least a threshold number of attributes matching story attributes of the candidate post; for each of the plurality of types of interactions: determining a number of interactions by the viewing user with the identified one or more posts; determining a number of interactions having a type of interaction by the viewing user with the identified one or more posts; and calculating the probability based on the number of interactions by the viewing user with the identified one or more posts and number of interactions having the type of interaction by the viewing user with the identified one or more posts. | 0.5 |
6,035,298 | 1 | 2 | 1. A method of producing output data from a database system in response to instructions from distributed user terminals, said method comprising steps of establishing a communications channel between a user terminal and said database system, wherein said database system includes a plurality of independent databases having a plurality of database schemas; supplying data from said database system to said connected user terminal to identify available relational data queries corresponding to pre-determined data mappings between said independent databases; returning data to said database system identifying a selected relational data query from said available selection; and implementing said selected query to produce output data from said database system. | 1. A method of producing output data from a database system in response to instructions from distributed user terminals, said method comprising steps of establishing a communications channel between a user terminal and said database system, wherein said database system includes a plurality of independent databases having a plurality of database schemas; supplying data from said database system to said connected user terminal to identify available relational data queries corresponding to pre-determined data mappings between said independent databases; returning data to said database system identifying a selected relational data query from said available selection; and implementing said selected query to produce output data from said database system. 2. A method as in claim 1, wherein said selected query is defined in accordance with Standard Query Language (SQL) instructions. | 0.532847 |
9,471,604 | 8 | 10 | 8. One or more computer-readable hardware storage device having embedded therein a set of instructions which, when executed by one or more processors of a computer, causes the computer to execute operations comprising: performing a first database image similarity search for images similar to a first query image; providing to a client machine a first plurality of images that result from the first database search, the first plurality of images selectable for providing a second query image; responsive to selection of one of the first plurality of images, performing a second database image similarity search and at least one selectable icon to find more images of products like at least one of the second plurality of images of products; responsive to selection of one of the at least one selectable icon, performing a third database image similarity search for images similar to the at least one of the second plurality of images of products; and providing to the client machine the third plurality of images that result from the third database image similarity search and at least one second selectable icon to find more images of products like at least one of the third plurality of images of products. | 8. One or more computer-readable hardware storage device having embedded therein a set of instructions which, when executed by one or more processors of a computer, causes the computer to execute operations comprising: performing a first database image similarity search for images similar to a first query image; providing to a client machine a first plurality of images that result from the first database search, the first plurality of images selectable for providing a second query image; responsive to selection of one of the first plurality of images, performing a second database image similarity search and at least one selectable icon to find more images of products like at least one of the second plurality of images of products; responsive to selection of one of the at least one selectable icon, performing a third database image similarity search for images similar to the at least one of the second plurality of images of products; and providing to the client machine the third plurality of images that result from the third database image similarity search and at least one second selectable icon to find more images of products like at least one of the third plurality of images of products. 10. The one or more computer-readable hardware storage device of claim 8 wherein at least one of the first query image, the second query image, or the third query image comprises video content. | 0.82675 |
9,953,329 | 16 | 39 | 16. A computer infrastructure including non-transitory computer readable storage medium having a computer program executable to provide: search results in a first dedicated space of a user interface and associated with a first collection based on at least one search term, and which excludes search results associated with any of one or more second collections; a separate customizable preview of search results for the at least one search term in a separate pane of a second dedicated space of the user interface, the customizable preview of search results being associated with at least a second collection different from the first collection; and options to a user to customize the second dedicated space and the separate pane through an editing settings link in the user interface that is configured to provide customization controls which allow the user to remove the separate pane in the second dedicated space, order the separate pane with at least one other customizable preview pane in the second dedicated space, and allow the user to add another pane in the second dedicated space which includes the at least the second collection to be any web site that the user inputs through a text editable box in an add sidebar module, wherein the second collection is a user defined collection which comprises web pages that have been bookmarked by the user, and the search results pertain to information found within at least one of the bookmarked web pages, wherein the first collection is a first category of information for the at least one search term and the second collection is a second category of information for the at least one search term which is different from the first category of information. | 16. A computer infrastructure including non-transitory computer readable storage medium having a computer program executable to provide: search results in a first dedicated space of a user interface and associated with a first collection based on at least one search term, and which excludes search results associated with any of one or more second collections; a separate customizable preview of search results for the at least one search term in a separate pane of a second dedicated space of the user interface, the customizable preview of search results being associated with at least a second collection different from the first collection; and options to a user to customize the second dedicated space and the separate pane through an editing settings link in the user interface that is configured to provide customization controls which allow the user to remove the separate pane in the second dedicated space, order the separate pane with at least one other customizable preview pane in the second dedicated space, and allow the user to add another pane in the second dedicated space which includes the at least the second collection to be any web site that the user inputs through a text editable box in an add sidebar module, wherein the second collection is a user defined collection which comprises web pages that have been bookmarked by the user, and the search results pertain to information found within at least one of the bookmarked web pages, wherein the first collection is a first category of information for the at least one search term and the second collection is a second category of information for the at least one search term which is different from the first category of information. 39. The computer infrastructure of claim 16 , wherein the computer program is further executable to provide: tabs to the user to select the first collection from a plurality of collections; and display search results for the at least one search term in the at least one other customizable preview pane, the display of search results being associated with at least a third collection. | 0.5 |
10,055,640 | 11 | 12 | 11. An image processing method comprising: extracting a feature information from an object in input image data; classifying a plurality of feature information into a plurality of groups based upon a similarity, and registering the plurality of feature information into a dictionary, wherein the dictionary is used to determine a similarity between the feature information registered in the dictionary and the feature information extracted in the extracting; and deleting, among the plurality of groups, a feature information of a group, which does not reach a predetermined use level, from the dictionary, wherein information related to a time period elapsed from when the feature information had been registered in the dictionary at first is used as the use level, and wherein, in a case where the number of feature information registered in the dictionary exceeds a predetermined number, the feature information of a group which does not reach the predetermined use level is deleted from the dictionary. | 11. An image processing method comprising: extracting a feature information from an object in input image data; classifying a plurality of feature information into a plurality of groups based upon a similarity, and registering the plurality of feature information into a dictionary, wherein the dictionary is used to determine a similarity between the feature information registered in the dictionary and the feature information extracted in the extracting; and deleting, among the plurality of groups, a feature information of a group, which does not reach a predetermined use level, from the dictionary, wherein information related to a time period elapsed from when the feature information had been registered in the dictionary at first is used as the use level, and wherein, in a case where the number of feature information registered in the dictionary exceeds a predetermined number, the feature information of a group which does not reach the predetermined use level is deleted from the dictionary. 12. The method according to claim 11 , further comprising determining the similarity by referring to the dictionary. | 0.760331 |
10,072,941 | 14 | 16 | 14. A mobile device comprising: an input operative to receive at least a portion of a conversational narrative comprising at least one non-verbal physical movement of a portion of a human body of a provider and descriptive of a route to a destination expressed by the provider thereof to a receiver not connected to the mobile device, wherein the conversational narrative includes a plurality elements, the plurality of elements including a plurality of navigation oriented elements and at least one descriptive element characterizing another of the plurality of elements; a converter coupled with the input and operative to convert the received portion of the expressed conversational narrative to data representative thereof; a parser coupled with the converter and operative to identify the plurality of navigation oriented conversational elements represented within the data, as well as any descriptive elements associated therewith; a navigation processor coupled with the parser and operative to convert each of the plurality of navigation oriented conversational elements into an associated navigation data element representative thereof based on the identified descriptive elements associated therewith, if any; a route generator coupled with the navigation processor and operative to compile the navigation elements into a navigation route; and an output coupled with the route generator and operative to present the navigation route. | 14. A mobile device comprising: an input operative to receive at least a portion of a conversational narrative comprising at least one non-verbal physical movement of a portion of a human body of a provider and descriptive of a route to a destination expressed by the provider thereof to a receiver not connected to the mobile device, wherein the conversational narrative includes a plurality elements, the plurality of elements including a plurality of navigation oriented elements and at least one descriptive element characterizing another of the plurality of elements; a converter coupled with the input and operative to convert the received portion of the expressed conversational narrative to data representative thereof; a parser coupled with the converter and operative to identify the plurality of navigation oriented conversational elements represented within the data, as well as any descriptive elements associated therewith; a navigation processor coupled with the parser and operative to convert each of the plurality of navigation oriented conversational elements into an associated navigation data element representative thereof based on the identified descriptive elements associated therewith, if any; a route generator coupled with the navigation processor and operative to compile the navigation elements into a navigation route; and an output coupled with the route generator and operative to present the navigation route. 16. The mobile device of claim 14 wherein the conversational narrative comprises at least one implied navigation oriented conversational element wherein the at least one implied navigation oriented conversational element is one of omitted, ambiguous, inaccurate, incomplete, grammatically miss-specified, irrelevant, incorrect, contradictory, misleading or a combination thereof. | 0.5 |
9,767,220 | 10 | 12 | 10. The method of claim 7 , the method further comprising: causing, by the search system, one or more first item types to be associated with a primary item type set based on one or more inputs corresponding to a selection of the first item types; causing, by the search system, one or more representations of first information items of the suggested information items to be provided in a primary area on a display of the user interface based on a determination that the first information items are associated with the first item types; and causing, by the search system, one or more representations of second information items of the suggested information items to be provided in a secondary area on the display of the user interface based on a determination that the second information items are associated with one or more second item types, wherein the primary area and the secondary area are provided on the display of the user interface simultaneously with a query input component and the suggested group of sources. | 10. The method of claim 7 , the method further comprising: causing, by the search system, one or more first item types to be associated with a primary item type set based on one or more inputs corresponding to a selection of the first item types; causing, by the search system, one or more representations of first information items of the suggested information items to be provided in a primary area on a display of the user interface based on a determination that the first information items are associated with the first item types; and causing, by the search system, one or more representations of second information items of the suggested information items to be provided in a secondary area on the display of the user interface based on a determination that the second information items are associated with one or more second item types, wherein the primary area and the secondary area are provided on the display of the user interface simultaneously with a query input component and the suggested group of sources. 12. The method of claim 10 , wherein the secondary area is removed from view on the display of the user interface based on a determination that each of the plurality of item types is selected. | 0.849057 |
8,966,355 | 1 | 2 | 1. A hardware-implemented apparatus for comparing a pair of input binary words (u, u′), the apparatus comprising: an intermediate value determiner configured to determine an intermediate binary word (z), based on the pair of input binary words (u, u′), and compare the intermediate binary word to a reference binary word or to an inversion of the reference binary word; and an error detector configured to detect that the binary words of the pair of input binary words (u, u′) are equal or inverted to with respect to each other to detect a faultless preceding processing of the pair of input binary words when the intermediate binary word (z) is equal to the reference binary word or equal to the inversion of the reference binary word, and to detect that the binary words of the pair of input binary words (u, u′) are not equal and not inverted with respect to each other to detect an erroneous preceding processing of the pair of input binary words when the intermediate binary word (z) is unequal to the reference binary word and unequal to the inversion of the reference binary word; wherein a bit of the intermediate binary word (z) depends on a XOR-combination of a binary constant, a bit of a first binary word of the pair of input binary words (u, u′), a corresponding bit of a second binary word of the pair of input binary words (u, u′), and a non-constant Boolean function of at least the bit of the first binary word of the pair of input binary words and the corresponding bit of the second binary word of the pair of input binary words. | 1. A hardware-implemented apparatus for comparing a pair of input binary words (u, u′), the apparatus comprising: an intermediate value determiner configured to determine an intermediate binary word (z), based on the pair of input binary words (u, u′), and compare the intermediate binary word to a reference binary word or to an inversion of the reference binary word; and an error detector configured to detect that the binary words of the pair of input binary words (u, u′) are equal or inverted to with respect to each other to detect a faultless preceding processing of the pair of input binary words when the intermediate binary word (z) is equal to the reference binary word or equal to the inversion of the reference binary word, and to detect that the binary words of the pair of input binary words (u, u′) are not equal and not inverted with respect to each other to detect an erroneous preceding processing of the pair of input binary words when the intermediate binary word (z) is unequal to the reference binary word and unequal to the inversion of the reference binary word; wherein a bit of the intermediate binary word (z) depends on a XOR-combination of a binary constant, a bit of a first binary word of the pair of input binary words (u, u′), a corresponding bit of a second binary word of the pair of input binary words (u, u′), and a non-constant Boolean function of at least the bit of the first binary word of the pair of input binary words and the corresponding bit of the second binary word of the pair of input binary words. 2. The apparatus according to claim 1 , wherein the intermediate value determiner is configured to determine a bit of the intermediate binary word (z), so that the bit of the intermediate binary word (z) is equal to a value derivable by an intermediate bit Boolean function depending on at least one bit (u i , u′ i ) of the pair of input binary words (u, u′) to be compared. | 0.629883 |
8,041,805 | 1 | 4 | 1. One or more computer-readable non-transitory storage media embodying software operable when executed to: provide a user-selectable element viewable on each of a plurality of particular web pages of a website upon initial display of a particular web page and soliciting page-specific user feedback concerning the particular web page upon initial display of the particular web page, the user-selectable element appearing identically and behaving consistently on each of the plurality of particular web pages; and receive the page-specific user feedback concerning the particular web page for reporting to an interested party, the page-specific user feedback concerning the particular webpages having been provided by a user while the user remained at the particular web page, and the page-specific user feedback comprising one or more page-specific subjective ratings of the particular web page and one or more associated page-specific open-ended comments concerning the particular web page, the page-specific user feedback allowing the interested party to access page-specific subjective ratings and associated page-specific open-ended comments across the plurality of particular web pages to identify one or more particular web pages for which the page-specific user feedback is notable relative to page-specific user feedback for other particular web pages; wherein the user-selectable element is viewable within a browser window upon initial display of the particular web page and remains viewable within the browser window, at least prior to the user selection, regardless of user scrolling. | 1. One or more computer-readable non-transitory storage media embodying software operable when executed to: provide a user-selectable element viewable on each of a plurality of particular web pages of a website upon initial display of a particular web page and soliciting page-specific user feedback concerning the particular web page upon initial display of the particular web page, the user-selectable element appearing identically and behaving consistently on each of the plurality of particular web pages; and receive the page-specific user feedback concerning the particular web page for reporting to an interested party, the page-specific user feedback concerning the particular webpages having been provided by a user while the user remained at the particular web page, and the page-specific user feedback comprising one or more page-specific subjective ratings of the particular web page and one or more associated page-specific open-ended comments concerning the particular web page, the page-specific user feedback allowing the interested party to access page-specific subjective ratings and associated page-specific open-ended comments across the plurality of particular web pages to identify one or more particular web pages for which the page-specific user feedback is notable relative to page-specific user feedback for other particular web pages; wherein the user-selectable element is viewable within a browser window upon initial display of the particular web page and remains viewable within the browser window, at least prior to the user selection, regardless of user scrolling. 4. The media of claim 1 , wherein the software associated with the user-selectable element is incorporated into a web browser of the user. | 0.808864 |
8,429,184 | 17 | 18 | 17. A computer software product for executing a process, the product comprising a tangible computer-readable medium in which program instructions are stored, which instructions, when read by a computer, cause the computer to receive from a user a first search query consisting of one or more first query terms; receive from the user an indication of a desired level of personalization of refinement options for the first search query; responsively to the first search query, generate a set of one or more refinement terms at least in part responsively to the indication; present the set of refinement terms to the user; responsively to a selection of at least one of the refinement terms by the user, add the selected at least one refinement tend to the first search query to generate a second search query; and present to the user search results responsively to the second search query. | 17. A computer software product for executing a process, the product comprising a tangible computer-readable medium in which program instructions are stored, which instructions, when read by a computer, cause the computer to receive from a user a first search query consisting of one or more first query terms; receive from the user an indication of a desired level of personalization of refinement options for the first search query; responsively to the first search query, generate a set of one or more refinement terms at least in part responsively to the indication; present the set of refinement terms to the user; responsively to a selection of at least one of the refinement terms by the user, add the selected at least one refinement tend to the first search query to generate a second search query; and present to the user search results responsively to the second search query. 18. The computer software product according to claim 17 , wherein the desired level of personalization is selected from a range of personalization levels between a personalized level and a global level that is not personalized. | 0.5 |
10,142,269 | 1 | 2 | 1. A communications system, comprising: a processing device; a network interface; non-transitory computer readable memory that stores program code that when executed by the processing device is configured to cause the system to at least: provide a software program for download to a first computing device associated with a user; enable delivery of a voice message, directed to the user, to the first computing device associated with the user, wherein the delivered voice message is playable to the user via a user interface of the software program; enable the voice message to be played via a web browser of a second computing device associated with the user; enable the user to send a textual reply message, via the web browser of the second computing device associated with the user, to an originator of the voice message without the user entering an address of the originator of the voice message; and receive, via the network interface, a user voice message deletion instruction from the web browser of the second computing device associated with the user; in response to the user voice message deletion instruction received from the web browser of the second computing device associated with the user, enable the voice message to be deleted from a user interface presented by the browser, and in cooperation with the software program on the first computing device associated with of the user, enable deletion of the voice message on the first computing device associated with the user. | 1. A communications system, comprising: a processing device; a network interface; non-transitory computer readable memory that stores program code that when executed by the processing device is configured to cause the system to at least: provide a software program for download to a first computing device associated with a user; enable delivery of a voice message, directed to the user, to the first computing device associated with the user, wherein the delivered voice message is playable to the user via a user interface of the software program; enable the voice message to be played via a web browser of a second computing device associated with the user; enable the user to send a textual reply message, via the web browser of the second computing device associated with the user, to an originator of the voice message without the user entering an address of the originator of the voice message; and receive, via the network interface, a user voice message deletion instruction from the web browser of the second computing device associated with the user; in response to the user voice message deletion instruction received from the web browser of the second computing device associated with the user, enable the voice message to be deleted from a user interface presented by the browser, and in cooperation with the software program on the first computing device associated with of the user, enable deletion of the voice message on the first computing device associated with the user. 2. The communications system as defined in claim 1 , wherein the processing device enables delivery by routing the voice message over the Internet to the first computing device associated with the user. | 0.760664 |
9,659,056 | 13 | 17 | 13. A system comprising: a processor; and a computer program product tangibly embodied in a non-transitory storage medium, the computer program product including instructions that when executed cause the processor to perform operations including: determining, using at least one processor, that information for an entity is absent from a data graph; determining, using the at least one processor, an estimate for the information based on a plurality of features from a joint distribution model related to the information; adding the estimate to the data graph so that the estimate is linked to the entity via a relationship indicating that the estimate is not verified; selecting a subset of the plurality of features, wherein the subset is a first subset and selecting the subset includes: determining a contribution value for each of the plurality of features; determining that a second subset of the features are related based on clustering the entity for which the information is missing with other entities having a similar feature; aggregating the features in the second subset to generate an aggregate feature; aggregating the contribution values for the features in the second subset to generate a new contribution score; and selecting the second subset as the first subset; for each feature in the subset of the plurality of features: adding the feature in the data graph, and linking the feature to the estimate; receiving, using the at least one processor, a query that requests the information for the entity; generating an explanation based on the subset of features linked to the estimate in the data graph, wherein the explanation and the estimate are based on the aggregate feature and the new contribution score; and providing the explanation and the estimate as part of a search result for the query. | 13. A system comprising: a processor; and a computer program product tangibly embodied in a non-transitory storage medium, the computer program product including instructions that when executed cause the processor to perform operations including: determining, using at least one processor, that information for an entity is absent from a data graph; determining, using the at least one processor, an estimate for the information based on a plurality of features from a joint distribution model related to the information; adding the estimate to the data graph so that the estimate is linked to the entity via a relationship indicating that the estimate is not verified; selecting a subset of the plurality of features, wherein the subset is a first subset and selecting the subset includes: determining a contribution value for each of the plurality of features; determining that a second subset of the features are related based on clustering the entity for which the information is missing with other entities having a similar feature; aggregating the features in the second subset to generate an aggregate feature; aggregating the contribution values for the features in the second subset to generate a new contribution score; and selecting the second subset as the first subset; for each feature in the subset of the plurality of features: adding the feature in the data graph, and linking the feature to the estimate; receiving, using the at least one processor, a query that requests the information for the entity; generating an explanation based on the subset of features linked to the estimate in the data graph, wherein the explanation and the estimate are based on the aggregate feature and the new contribution score; and providing the explanation and the estimate as part of a search result for the query. 17. The system of claim 13 , wherein the query is received prior to determining that the information is absent, and the determining is performed in response to receiving the query. | 0.71246 |
9,262,520 | 17 | 18 | 17. The method of claim 1 , wherein the enabling comprises providing a mechanism allowing the one or more users to modify a visual property of one or more text labels. | 17. The method of claim 1 , wherein the enabling comprises providing a mechanism allowing the one or more users to modify a visual property of one or more text labels. 18. The method of claim 17 , wherein the enabling comprises providing a mechanism allowing the one or more users to access and manipulate visual properties of the text labels by means of the user interface. | 0.5 |
8,145,654 | 1 | 6 | 1. A computer-implemented method for keyword searching, the method comprising: generating, by a server, tokens for a plurality of keywords in a document collection, wherein the generating further comprises determining a keyword position of a keyword in a document of the document collection, and determining a number of noisy keywords preceding the keyword in the document; merging the tokens to create an index; receiving a search query, wherein the search query includes at least one search phrase; receiving, for the at least one search phrase, an indication from a user specifying to perform one of a noisy phrase search or a noiseless phrase search; searching the index for the at least one search phrase based on the indication received from the user; and when the indication from the user specifies a noiseless phrase search, performing the noiseless phrase search at least in part by subtracting a value of the keyword position by the number of noisy keywords preceding the keyword. | 1. A computer-implemented method for keyword searching, the method comprising: generating, by a server, tokens for a plurality of keywords in a document collection, wherein the generating further comprises determining a keyword position of a keyword in a document of the document collection, and determining a number of noisy keywords preceding the keyword in the document; merging the tokens to create an index; receiving a search query, wherein the search query includes at least one search phrase; receiving, for the at least one search phrase, an indication from a user specifying to perform one of a noisy phrase search or a noiseless phrase search; searching the index for the at least one search phrase based on the indication received from the user; and when the indication from the user specifies a noiseless phrase search, performing the noiseless phrase search at least in part by subtracting a value of the keyword position by the number of noisy keywords preceding the keyword. 6. The computer-implemented method of claim 1 , wherein searching the index further comprises tokenizing the search query prior to performing the search. | 0.848214 |
8,161,131 | 21 | 26 | 21. A computer program product for delivering dynamic media content to collaborators, the computer program product comprising: a non-transitory recording medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable program code configured to provide collaborative event media content, wherein the collaborative event media content further comprises a grammar and a structured document, wherein the grammar is a data structure associating key phrases with presentation actions that facilitates a collaborator navigating the structured document of collaborative event media content using speech commands; computer readable program code configured to provide data identifying a client's location; computer readable program code configured to store in the context server in a data structure comprising a dynamic client context for the client, the data identifying the client's location; computer readable program code configured to detect an event in dependence upon the dynamic client context, said event being characterized by an event type; computer readable program code configured to identify one or more collaborators in dependence upon the dynamic client context and the event, the one or more collaborators each being characterized by a collaborator classification; computer readable program code configured to select from the structured document a classified structural element in dependence upon the event type and the collaborator classification for each of the one or more collaborators; and computer readable program code configured to transmit the selected structural element to the one or more collaborators. | 21. A computer program product for delivering dynamic media content to collaborators, the computer program product comprising: a non-transitory recording medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable program code configured to provide collaborative event media content, wherein the collaborative event media content further comprises a grammar and a structured document, wherein the grammar is a data structure associating key phrases with presentation actions that facilitates a collaborator navigating the structured document of collaborative event media content using speech commands; computer readable program code configured to provide data identifying a client's location; computer readable program code configured to store in the context server in a data structure comprising a dynamic client context for the client, the data identifying the client's location; computer readable program code configured to detect an event in dependence upon the dynamic client context, said event being characterized by an event type; computer readable program code configured to identify one or more collaborators in dependence upon the dynamic client context and the event, the one or more collaborators each being characterized by a collaborator classification; computer readable program code configured to select from the structured document a classified structural element in dependence upon the event type and the collaborator classification for each of the one or more collaborators; and computer readable program code configured to transmit the selected structural element to the one or more collaborators. 26. The computer program product of claim 21 wherein computer readable program code configured detect an event in dependence upon the dynamic client context further comprises: computer readable program code configured detect a change in a value of a data element in the dynamic client context; and computer readable program code configured apply event detection rules base to the dynamic client context. | 0.664167 |
7,925,657 | 10 | 11 | 10. The method of claim 1 , further comprising responding, by the server device, to a subsequent search query based at least in part on the ranking of the popularity of the first document. | 10. The method of claim 1 , further comprising responding, by the server device, to a subsequent search query based at least in part on the ranking of the popularity of the first document. 11. The method of claim 10 , wherein responding to the subsequent search query comprises adjusting a ranking of documents in the response to the subsequent search query based at least in part on the ranking of the popularity of the first document. | 0.5 |
7,716,170 | 1 | 27 | 1. A computer implemented method for dynamically and contextually managing information in an electronic computational environment, the method comprising: with respect to a project, the project providing a corresponding context and/or one or more other contexts for management of a plurality of information elements, each information element being in at least one of a plurality of information categories, each information category being a member of a category set, the category set including data category, function category, and result category, wherein the corresponding context and/or one or more other contexts corresponds to at least one contextual model, where the contextual model is defined by the information elements and a set of rules governing permissible relationships among the information elements; (a) receiving an input and/or user interaction to the electronic computational environment specifying a relationship among at least two information elements; (b) using an integrity engine, operating globally to enforce the set of rules, to verify dynamically correctness of the relationship specified among all information categories within the corresponding context and/or one or more other contexts; wherein the integrity engine's role varies by the information category and operates on at least one of a plurality of levels within each information category to cause enforcement of the set of rules within the corresponding context and/or one or more other contexts; the plurality of levels within each information category including syntactic, semantic, and operational levels; where the corresponding context and/or one or more other contexts and the integrity engine establish the contextual model; and (c) upon acceptance of the relationship by the integrity engine, storing automatically the relationship specified in a storage medium, permitting dynamic interaction, wherein the dynamic interaction includes storing, retrieving, manipulation of information elements, and modifications of relations with respect to the corresponding context and/or one or more other contexts. | 1. A computer implemented method for dynamically and contextually managing information in an electronic computational environment, the method comprising: with respect to a project, the project providing a corresponding context and/or one or more other contexts for management of a plurality of information elements, each information element being in at least one of a plurality of information categories, each information category being a member of a category set, the category set including data category, function category, and result category, wherein the corresponding context and/or one or more other contexts corresponds to at least one contextual model, where the contextual model is defined by the information elements and a set of rules governing permissible relationships among the information elements; (a) receiving an input and/or user interaction to the electronic computational environment specifying a relationship among at least two information elements; (b) using an integrity engine, operating globally to enforce the set of rules, to verify dynamically correctness of the relationship specified among all information categories within the corresponding context and/or one or more other contexts; wherein the integrity engine's role varies by the information category and operates on at least one of a plurality of levels within each information category to cause enforcement of the set of rules within the corresponding context and/or one or more other contexts; the plurality of levels within each information category including syntactic, semantic, and operational levels; where the corresponding context and/or one or more other contexts and the integrity engine establish the contextual model; and (c) upon acceptance of the relationship by the integrity engine, storing automatically the relationship specified in a storage medium, permitting dynamic interaction, wherein the dynamic interaction includes storing, retrieving, manipulation of information elements, and modifications of relations with respect to the corresponding context and/or one or more other contexts. 27. The method according to claim 1 , further comprising providing a user with administrative rights with respect to the information elements including at least one of backup/restore, performance optimization, grouping or organization, access authorization, and annotation. | 0.807203 |
5,408,655 | 1 | 2 | 1. A method for a user of a computer system to traverse a database to retrieve an electronic document stored in said database, said method comprising the steps of: a) providing a hypertext-type database, said hypertext-type database including a plurality of hypertext-type nodes, each of said hypertext nodes corresponding to an electronic document, wherein each of said hypertext-type nodes may be selectively linked to other of said hypertext-type nodes; b) providing a set of descriptive index terms; c) indexing said hypertext-type database by assigning a unique first subset of said descriptive index terms to each of said electronic documents; d) providing a plurality of first command options on a computer control display system (CCDS), said CCDS coupled to said hypertext-type database, each first command option representing a second subset of said descriptive index terms; e) said user selecting a first command option on said CCDS; f) comparing said first subset of descriptive index terms of said electronic documents with said second subset of said descriptive index terms of said selected first command option; g) producing a ranked list of electronic documents based on said comparing step f), said ranked list of electronic documents having a highest ranked document, and remaining electronic documents selectively linked to said highest ranked document, said highest ranked document representing a user's position, within the hypertext-type database; h) providing a plurality of second command options on said CCDS; i) said user selecting one of said second command options on said CCDS, said one of said second command options representing a desired electronic document in said ranked list; and j) changing said user's position to correspond with said desired electronic document corresponding to said one of said second command options. | 1. A method for a user of a computer system to traverse a database to retrieve an electronic document stored in said database, said method comprising the steps of: a) providing a hypertext-type database, said hypertext-type database including a plurality of hypertext-type nodes, each of said hypertext nodes corresponding to an electronic document, wherein each of said hypertext-type nodes may be selectively linked to other of said hypertext-type nodes; b) providing a set of descriptive index terms; c) indexing said hypertext-type database by assigning a unique first subset of said descriptive index terms to each of said electronic documents; d) providing a plurality of first command options on a computer control display system (CCDS), said CCDS coupled to said hypertext-type database, each first command option representing a second subset of said descriptive index terms; e) said user selecting a first command option on said CCDS; f) comparing said first subset of descriptive index terms of said electronic documents with said second subset of said descriptive index terms of said selected first command option; g) producing a ranked list of electronic documents based on said comparing step f), said ranked list of electronic documents having a highest ranked document, and remaining electronic documents selectively linked to said highest ranked document, said highest ranked document representing a user's position, within the hypertext-type database; h) providing a plurality of second command options on said CCDS; i) said user selecting one of said second command options on said CCDS, said one of said second command options representing a desired electronic document in said ranked list; and j) changing said user's position to correspond with said desired electronic document corresponding to said one of said second command options. 2. The method of claim 1 wherein said step of producing a ranked list of documents includes assigning a match value to each electronic document selectively linked to said user's position, said match value being a numerical indication of the relevancy of each document of said ranked list of documents to said second subset of said descriptive index terms. | 0.5 |
8,799,767 | 11 | 17 | 11. A computing device comprising: a processing system; a communication interface that receives medical status data from a monitoring device, the medical status data representing a physiological characteristic of a patient; and a data storage system that stores: an Extensible Stylesheet Language Transformation (XSLT) document; and computer-readable instructions that, when executed by the processing system, cause the computing device to: generate a script file by applying a transformation to the medical status data, the transformation specified by the XSLT document; execute the script file, wherein executing the script file causes the computing device to generate transformed data by applying a different transformation to the medical status data and send transformed data to a plurality of receiver systems; determine whether a given one of the receiver systems is an authority, wherein the given receiver system is an authority when operation of the monitoring device is effected by whether the given receiver system successfully received the transformed data; disregard a response received from the given receiver system when the given receiver system is not an authority, the received response indicating whether the given receiver system successfully received the transformed data; set an overall response to the received response when the received response is a first response received from the receiver systems and the given receiver system is an authority; set the overall response to a result of performing a logical “and” operation on the received response and the overall response when the received response is not the first response received from the receiver systems and the given receiver system is an authority; and send the overall response to the monitoring device when the computing device has received responses from each of the receiver systems. | 11. A computing device comprising: a processing system; a communication interface that receives medical status data from a monitoring device, the medical status data representing a physiological characteristic of a patient; and a data storage system that stores: an Extensible Stylesheet Language Transformation (XSLT) document; and computer-readable instructions that, when executed by the processing system, cause the computing device to: generate a script file by applying a transformation to the medical status data, the transformation specified by the XSLT document; execute the script file, wherein executing the script file causes the computing device to generate transformed data by applying a different transformation to the medical status data and send transformed data to a plurality of receiver systems; determine whether a given one of the receiver systems is an authority, wherein the given receiver system is an authority when operation of the monitoring device is effected by whether the given receiver system successfully received the transformed data; disregard a response received from the given receiver system when the given receiver system is not an authority, the received response indicating whether the given receiver system successfully received the transformed data; set an overall response to the received response when the received response is a first response received from the receiver systems and the given receiver system is an authority; set the overall response to a result of performing a logical “and” operation on the received response and the overall response when the received response is not the first response received from the receiver systems and the given receiver system is an authority; and send the overall response to the monitoring device when the computing device has received responses from each of the receiver systems. 17. The computing device of claim 11 , wherein the computer-readable instructions, when executed by the processing system, cause the computing device to execute the script file in response to receiving input from a user to execute the script file. | 0.5 |
9,946,772 | 1 | 18 | 1. A method comprising, by a computing device: receiving, from a client system of a first user, a text query inputted by the first user at a query field of a currently accessed interface of an online social network; generating a plurality of structured queries based on the text query, each structured query comprising one or more query tokens, wherein one or more of the query tokens are unique query tokens comprising references to one or more unique objects associated with the online social network, respectively; generating one or more search results corresponding to at least one of the structured queries; and sending, to the client system responsive to receiving the text query, instructions for displaying one or more suggested queries on the interface, wherein the one or more suggested queries correspond to one or more structured queries, respectively, at least one of the suggested queries being displayed with a preview of one or more search results matching the structured query corresponding to the suggested query, and wherein each suggested query that is displayed is selectable by the first user to retrieve search results matching the structured query corresponding to the selected suggested query. | 1. A method comprising, by a computing device: receiving, from a client system of a first user, a text query inputted by the first user at a query field of a currently accessed interface of an online social network; generating a plurality of structured queries based on the text query, each structured query comprising one or more query tokens, wherein one or more of the query tokens are unique query tokens comprising references to one or more unique objects associated with the online social network, respectively; generating one or more search results corresponding to at least one of the structured queries; and sending, to the client system responsive to receiving the text query, instructions for displaying one or more suggested queries on the interface, wherein the one or more suggested queries correspond to one or more structured queries, respectively, at least one of the suggested queries being displayed with a preview of one or more search results matching the structured query corresponding to the suggested query, and wherein each suggested query that is displayed is selectable by the first user to retrieve search results matching the structured query corresponding to the selected suggested query. 18. The method of claim 1 , wherein each unique query token corresponds to a unique object selected from a plurality of unique objects related to the first user's online social history. | 0.789773 |
9,251,137 | 21 | 23 | 21. A computer system comprising a processor, a memory, and a computer readable hardware storage device, said storage device containing program code configured to be executed by the processor via the memory to implement a method of text entry, said method comprising: said processor receiving, via a text entry program that provides a type-ahead feature for multiple applications, first text entered by a user, said received first text comprising a plurality of words; said processor entering, via the text entry program, the received first text into a first application; after said entering the received first text, said processor matching, via the text entry program, the received first text to one portion of each indexed segment of text of a plurality of indexed segments of text, said matching being based on matching rules, each indexed segment of text consisting of the one portion and a remaining portion; in response to said matching, said processor displaying to the user the plurality of indexed segments of text; said processor receiving from the user a selection of an indexed segment of text of the displayed plurality of indexed segments of text; in response to said receiving the selection from the user of the indexed segment of text of the displayed plurality of indexed segments of text, said processor entering into the first application, via the text entry program, the remaining portion of the selected indexed segment of text to auto-complete the received first text entered into the first application which results in auto-completed text in the first application, wherein the auto-completed text in the first application consists of (i) the received first text entered into the first application before said matching and (ii) the remaining portion of the selected indexed segment of text entered into the first application in response to said receiving the selection, and wherein the auto-completed text in the first application matches the selected indexed segment of text; said processor receiving second text entered by the user; said processor matching the second text to a portion of the first text, said first text consisting of the second text and a remaining portion of the first text, said remaining portion being a finite portion of the first text; said processor entering, via the text entry program, the received second text into a second application, said first and second applications being different applications; and after said entering the received second text into the second application, said processor entering, via the text entry program, into the second application the remaining portion of the first text to auto-complete the received second text entered into the second application which results in auto-completed text in the second application, wherein the auto-completed text in the second application consists of (i) the received second text entered into the second application and (ii) the remaining portion of the first text, and wherein the auto-completed text in the second application matches the first text. | 21. A computer system comprising a processor, a memory, and a computer readable hardware storage device, said storage device containing program code configured to be executed by the processor via the memory to implement a method of text entry, said method comprising: said processor receiving, via a text entry program that provides a type-ahead feature for multiple applications, first text entered by a user, said received first text comprising a plurality of words; said processor entering, via the text entry program, the received first text into a first application; after said entering the received first text, said processor matching, via the text entry program, the received first text to one portion of each indexed segment of text of a plurality of indexed segments of text, said matching being based on matching rules, each indexed segment of text consisting of the one portion and a remaining portion; in response to said matching, said processor displaying to the user the plurality of indexed segments of text; said processor receiving from the user a selection of an indexed segment of text of the displayed plurality of indexed segments of text; in response to said receiving the selection from the user of the indexed segment of text of the displayed plurality of indexed segments of text, said processor entering into the first application, via the text entry program, the remaining portion of the selected indexed segment of text to auto-complete the received first text entered into the first application which results in auto-completed text in the first application, wherein the auto-completed text in the first application consists of (i) the received first text entered into the first application before said matching and (ii) the remaining portion of the selected indexed segment of text entered into the first application in response to said receiving the selection, and wherein the auto-completed text in the first application matches the selected indexed segment of text; said processor receiving second text entered by the user; said processor matching the second text to a portion of the first text, said first text consisting of the second text and a remaining portion of the first text, said remaining portion being a finite portion of the first text; said processor entering, via the text entry program, the received second text into a second application, said first and second applications being different applications; and after said entering the received second text into the second application, said processor entering, via the text entry program, into the second application the remaining portion of the first text to auto-complete the received second text entered into the second application which results in auto-completed text in the second application, wherein the auto-completed text in the second application consists of (i) the received second text entered into the second application and (ii) the remaining portion of the first text, and wherein the auto-completed text in the second application matches the first text. 23. The computer system of claim 21 , wherein the matching rules disregard words having no more than a designated number of characters in the indexed segments. | 0.807039 |
7,496,895 | 7 | 16 | 7. In a computational device with a block diagram environment, a method of debugging a multi-domain block diagram, the method comprising: providing a plurality of debuggable objects (DBOs) associated with entities found in a block diagram model and its solver, the block diagram model including entities from a plurality of types of modeling domains, the modeling domains being of different types; providing a unified debugger, the unified debugger integrating the plurality of DBOS that are associated with entities from different types of modeling domains into a common diagnostic environment, the common diagnostic environment displaying a plurality of views of the block diagram to a user consistent with a modeling domain of an entity being executed; executing a first entity from a first modeling domain in the block diagram; displaying a first view consistent with the first modeling domain in the common diagnostic environment, the displaying of the first view based on information referenced by a first DBO associated with the first entity; executing a second entity from a second modeling domain in the block diagram; replacing the first view with a second view consistent with the second modeling domain in the common diagnostic environment, the view changing between views of at least two of a time-based block diagram, a statechart, a data flow diagram, a discrete event model and compiled code; and displaying the second view based on information referenced by a second DBO associated with the second executing entity. | 7. In a computational device with a block diagram environment, a method of debugging a multi-domain block diagram, the method comprising: providing a plurality of debuggable objects (DBOs) associated with entities found in a block diagram model and its solver, the block diagram model including entities from a plurality of types of modeling domains, the modeling domains being of different types; providing a unified debugger, the unified debugger integrating the plurality of DBOS that are associated with entities from different types of modeling domains into a common diagnostic environment, the common diagnostic environment displaying a plurality of views of the block diagram to a user consistent with a modeling domain of an entity being executed; executing a first entity from a first modeling domain in the block diagram; displaying a first view consistent with the first modeling domain in the common diagnostic environment, the displaying of the first view based on information referenced by a first DBO associated with the first entity; executing a second entity from a second modeling domain in the block diagram; replacing the first view with a second view consistent with the second modeling domain in the common diagnostic environment, the view changing between views of at least two of a time-based block diagram, a statechart, a data flow diagram, a discrete event model and compiled code; and displaying the second view based on information referenced by a second DBO associated with the second executing entity. 16. The method of claim 7 , further comprising: registering at least one DBO specific command with the unified debugger. | 0.815951 |
7,739,221 | 13 | 18 | 13. A system comprising: a computer memory having stored thereon the following components executable by a processor; means for receiving an input, the input comprises visual data and at least one of text or audio data, wherein the visual data is from an image file; means for extracting a plurality of features from the input; means for utilizing a language parser, a speech recognition component or a pattern recognition component to extract the plurality of features, the pattern recognition component extracting the features of the image file, the features comprising physical attributes that are visually identifiable in the image file; means for generating a search query based at least in part upon a subset of the plurality of features; means for collecting and indexing search-related information across a plurality of dimensions, and building an index based upon features associated with the input; means for automatically and dynamically extracting features from searchable items and making the features available for search based upon a particular query or set of queries; means for learning, based on context information, historical data, or user feedback, what results are desired in view of a determined and inferred query, as well as how the results should be rendered; and means for generating results that include a combination of text, visual or audible data. | 13. A system comprising: a computer memory having stored thereon the following components executable by a processor; means for receiving an input, the input comprises visual data and at least one of text or audio data, wherein the visual data is from an image file; means for extracting a plurality of features from the input; means for utilizing a language parser, a speech recognition component or a pattern recognition component to extract the plurality of features, the pattern recognition component extracting the features of the image file, the features comprising physical attributes that are visually identifiable in the image file; means for generating a search query based at least in part upon a subset of the plurality of features; means for collecting and indexing search-related information across a plurality of dimensions, and building an index based upon features associated with the input; means for automatically and dynamically extracting features from searchable items and making the features available for search based upon a particular query or set of queries; means for learning, based on context information, historical data, or user feedback, what results are desired in view of a determined and inferred query, as well as how the results should be rendered; and means for generating results that include a combination of text, visual or audible data. 18. The system of claim 13 , further comprising: means for retrieving a plurality of results based upon the search query; and means for filtering a subset of the plurality of results in accordance with at least one of a user context, a user preference, a relevancy factor with respect to the input or a device context. | 0.5 |
10,109,264 | 1 | 3 | 1. A method implemented by an information handling system that includes a memory and a processor, the method comprising: configuring a reinforcement learning model based on one or more inspiration selections received from a user, wherein the configuring comprises loading one or more musical characteristics corresponding to the one or more inspiration selections into an environment of the reinforcement learning model; performing a plurality of training iterations using the configured reinforcement learning model wherein, during the plurality of training iterations, the reinforcement learning model generates a plurality of actions and a plurality of rewards corresponding to the plurality of actions based on the one or more musical characteristics loaded into the environment; and generating a musical composition based on the plurality of actions in response to determining that the plurality of rewards reach an empirical threshold. | 1. A method implemented by an information handling system that includes a memory and a processor, the method comprising: configuring a reinforcement learning model based on one or more inspiration selections received from a user, wherein the configuring comprises loading one or more musical characteristics corresponding to the one or more inspiration selections into an environment of the reinforcement learning model; performing a plurality of training iterations using the configured reinforcement learning model wherein, during the plurality of training iterations, the reinforcement learning model generates a plurality of actions and a plurality of rewards corresponding to the plurality of actions based on the one or more musical characteristics loaded into the environment; and generating a musical composition based on the plurality of actions in response to determining that the plurality of rewards reach an empirical threshold. 3. The method of claim 1 wherein at least one of the one or more inspiration selections is an artist musical signature selection, the method further comprising: prior to the generation of the musical composition: identifying an artist corresponding to the artist musical signature selection; identifying the one or more musical characteristics of one or more songs corresponding to the identified artist; and loading the one or more musical characteristics into the environment of the reinforcement learning model, wherein the environment generates the plurality of rewards based on the one or more musical characteristics. | 0.572702 |
4,531,184 | 7 | 8 | 7. A video conversational communication network in accordance with claim 2 wherein the designated keystation content of each of said contact lists may be dynamically varied by said keyboard means which created said retrievably stored contact list by providing different keystation identification codes associated with said stored contact list to said message switching interface storage means. | 7. A video conversational communication network in accordance with claim 2 wherein the designated keystation content of each of said contact lists may be dynamically varied by said keyboard means which created said retrievably stored contact list by providing different keystation identification codes associated with said stored contact list to said message switching interface storage means. 8. A video conversational communication network in accordance with claim 7 wherein said local storage means comprises means for retrievably storing a subscriber created page of textual data, said keyboard means comprising means for providing a unique contact list page calling signal to said message routing logic means corresponding to a designated retrievably stored contact list, said message routing logic means being responsive to said unique contact list page calling signal for simultaneously transmitting said subscriber created page to all of said keystations on said contact list, whereby a subscriber may simultaneously transmit a message to a plurality of predesignated subscribers in the network in single call. | 0.5 |
9,477,574 | 6 | 7 | 6. A computer-implemented method for collecting activity data related to a plurality of authenticated computer network users, said method comprising: collecting, by a processor, raw activity data related to said plurality of users from sources within said computer network, wherein said sources include at least some of a web content management server, a document management server, a web server, a proxy server, a directory service information server, an email server, or a client-side logging application; regulating, by a processor, collection, transformation, aggregation, and anonymization of said raw activity data related to said plurality of users from said sources based on at least one rule in a configuration table to generate user activity data on said computer network in compliance with at least one privacy law and/or at least one organizational privacy policy, wherein personally identifiable information is removed from said user activity data, wherein said at least one rule includes an exclusion rule that defines a subset of said plurality of users from whom collection of activity data is not allowed, said subset of said plurality of users being from a particular geographical location or a group within an organization; normalizing, by a processor, the raw activity data to provide normalized activity data associated with the document, wherein normalizing the raw activity data resolves differences of actions on the document by unifying saving the document, directly opening the document, and opening the document via textually different URLs such that the activity data reflects activity data associated with the document, wherein the textually different URLs are resolved to be logically equivalent by disassembling the textually different URLs and reconstructing a URL having a unified format; and storing, by a processor, said user activity data in a database. | 6. A computer-implemented method for collecting activity data related to a plurality of authenticated computer network users, said method comprising: collecting, by a processor, raw activity data related to said plurality of users from sources within said computer network, wherein said sources include at least some of a web content management server, a document management server, a web server, a proxy server, a directory service information server, an email server, or a client-side logging application; regulating, by a processor, collection, transformation, aggregation, and anonymization of said raw activity data related to said plurality of users from said sources based on at least one rule in a configuration table to generate user activity data on said computer network in compliance with at least one privacy law and/or at least one organizational privacy policy, wherein personally identifiable information is removed from said user activity data, wherein said at least one rule includes an exclusion rule that defines a subset of said plurality of users from whom collection of activity data is not allowed, said subset of said plurality of users being from a particular geographical location or a group within an organization; normalizing, by a processor, the raw activity data to provide normalized activity data associated with the document, wherein normalizing the raw activity data resolves differences of actions on the document by unifying saving the document, directly opening the document, and opening the document via textually different URLs such that the activity data reflects activity data associated with the document, wherein the textually different URLs are resolved to be logically equivalent by disassembling the textually different URLs and reconstructing a URL having a unified format; and storing, by a processor, said user activity data in a database. 7. The computer-implemented method of claim 6 , wherein said at least one rule contained in said at least one configuration table is one of: an access rule; an aggregation rule; a transformation rule; an exclusion rule; and a consent rule. | 0.662429 |
9,658,989 | 20 | 21 | 20. The apparatus of claim 19 , wherein said order identifier is configured to use said identified language for determining a rule against which to compare said character data in said document, in order to determine said second order. | 20. The apparatus of claim 19 , wherein said order identifier is configured to use said identified language for determining a rule against which to compare said character data in said document, in order to determine said second order. 21. The apparatus of claim 20 , wherein said language identifier and said order identifier are configured to generate a confidence value associated with at least one of: said identified language and said determined second order. | 0.5 |
9,161,297 | 7 | 10 | 7. A method of selecting a communication network, comprising: generating context-aware profile information, based on communication situations of an area in which a vehicle is located and information which is set by a driver; calculating weights for respective recommended connection parameters selected based on the context-aware profile information; verifying a communication network connection method set by the driver using the context-aware profile information; and selecting an optimal communication network in the area in which the vehicle is located, based on the communication network connection method set by the driver and the calculated weights; wherein the selecting the optimal communication network comprises: determining whether automatic connection mode or manual connection mode has been set using the context-aware profile information; and if it is determined that the automatic connection mode has been set, determining whether a recommended connection or a priority connection has been set up; and the method further comprising: calculating the weights using relative comparison of an Analytic Hierarchy Process (AHP) technique; and generating ranking scores of communication networks for each of the recommended connection parameters, and storing the ranking scores in a parameter-based ranking score table; wherein the generating the ranking scores depends at least partly on differences between importance scores associated with each of the respective recommended connection parameters, the importance scores including scores associated with an importance of cost information determined based on a transfer rate and cost information of a current network, and individual scores changeable based on user input. | 7. A method of selecting a communication network, comprising: generating context-aware profile information, based on communication situations of an area in which a vehicle is located and information which is set by a driver; calculating weights for respective recommended connection parameters selected based on the context-aware profile information; verifying a communication network connection method set by the driver using the context-aware profile information; and selecting an optimal communication network in the area in which the vehicle is located, based on the communication network connection method set by the driver and the calculated weights; wherein the selecting the optimal communication network comprises: determining whether automatic connection mode or manual connection mode has been set using the context-aware profile information; and if it is determined that the automatic connection mode has been set, determining whether a recommended connection or a priority connection has been set up; and the method further comprising: calculating the weights using relative comparison of an Analytic Hierarchy Process (AHP) technique; and generating ranking scores of communication networks for each of the recommended connection parameters, and storing the ranking scores in a parameter-based ranking score table; wherein the generating the ranking scores depends at least partly on differences between importance scores associated with each of the respective recommended connection parameters, the importance scores including scores associated with an importance of cost information determined based on a transfer rate and cost information of a current network, and individual scores changeable based on user input. 10. The method of claim 7 , wherein the selecting the optimal communication network comprises: if the priority connection has been set up, checking supportable communication networks based on the context-aware profile information; detecting available communication networks having available signal strengths from the supportable communication networks; and selecting a communication network having a highest priority, from among the available communication networks, as the optimal communication network. | 0.528972 |
9,659,094 | 17 | 19 | 17. A system for processing multimedia streams, the system comprising: a storage device; and at least one processor coupled to the storage device, wherein the storage device stores a program for controlling the processor, and wherein the processor, operative with the program, is configured to: identify a multimedia stream associated with a link, the uitimedia stream comprising content and metadata that describes content; remove the metadata from the stream and encode the content using a compression algorithm to generate a fingerprint for the multimedia stream, the fingerprint comprising a set of unique bits; compare the generated fingerprint to at least one fingerprint stored in a fingerprint database; determine, based on the comparison, whether the generated fingerprint matches at least one fingerprint stored in the fingerprint database; store the generated fingerprint in the fingerprint database when it is determined that there is not a match to the generated fingerprint; create a canonical resource locator for the identified multimedia stream by resolving the link and at least one other link into a simplified format; and associate the canonical resource locator with the generated fingerprint. | 17. A system for processing multimedia streams, the system comprising: a storage device; and at least one processor coupled to the storage device, wherein the storage device stores a program for controlling the processor, and wherein the processor, operative with the program, is configured to: identify a multimedia stream associated with a link, the uitimedia stream comprising content and metadata that describes content; remove the metadata from the stream and encode the content using a compression algorithm to generate a fingerprint for the multimedia stream, the fingerprint comprising a set of unique bits; compare the generated fingerprint to at least one fingerprint stored in a fingerprint database; determine, based on the comparison, whether the generated fingerprint matches at least one fingerprint stored in the fingerprint database; store the generated fingerprint in the fingerprint database when it is determined that there is not a match to the generated fingerprint; create a canonical resource locator for the identified multimedia stream by resolving the link and at least one other link into a simplified format; and associate the canonical resource locator with the generated fingerprint. 19. The system of claim 17 , wherein to create a canonical resource locator the at least one processor is further configured to: identify the at least one other link; determine that the link and the at least one other link have different formats; and standardize the link and the at least one other link into a single format. | 0.653518 |
9,942,400 | 17 | 20 | 17. The behavioral assessment computer program product of claim 11 , wherein the server is a third-party server adapted to send and receive communications. | 17. The behavioral assessment computer program product of claim 11 , wherein the server is a third-party server adapted to send and receive communications. 20. The behavioral assessment computer program product of claim 17 , wherein the third-party server is configured to permit a user to interact with a profile or account setup via one or more applications or programs run by the third-party server. | 0.5 |
9,262,510 | 1 | 6 | 1. A computer-performed method of organizing a collection of electronic documents, the method comprising: in a computer system, storing entries in multiple dictionaries separate from and not associated with any particular one of the electronic documents, wherein the multiple dictionaries are data structures within the computer system, wherein individual ones of the multiple dictionaries correspond to one of a plurality of different subjects, wherein the entries contain a descriptive term and a subject-determining-power score corresponding to the descriptive term, wherein an individual subject-determining-power score indicates the relative strength or weakness of the corresponding descriptive term with respect to the subject of the one of the multiple dictionaries containing the entry in which the descriptive term is stored, and wherein at least some of the descriptive terms are present in two or more of the multiple dictionaries; responsive to requests within the computer system to identify one or more of the electronic documents, wherein the requests include at least one search term descriptive of the one or more electronic documents, accessing the collection of electronic documents by matching the at least one search term with descriptive terms in the multiple dictionaries to determine one or more subjects of the request from subjects of one or more of the multiple dictionaries that contain the descriptive terms matching the at least one search term, and applying the subject-determining power scores to determine which of the subjects of the one or more of the multiple dictionaries that contain the descriptive terms that match the at least one search term are most applicable to the request; ranking the one or more subjects determined by the matching according to a match score computed for individual ones of the one or more subjects with respect to the at least one search term; determining one of the at least one search term having a greatest subject-determining power score among the one or more subjects and a subject to which the greatest subject-determining power score corresponds; until a predetermined number of documents are identified, collecting document tags having a best match to the highest-ranking subject for which the document tags have not yet been collected, in a collected set of document tags for the request by first collecting a number of document tags having highest subject-match scores for the subject to which the greatest subject-determining power score for a first one of the at least one search term corresponds, and adding the collected number of document tags to the collected set of document tags, second collecting another number of documents having highest subject-match scores for another subject to which a next greatest subject-determining power score for another one of the at least one search term corresponds, and adding documents from the other number of documents to the collected set of documents; reducing the collected set of document tags by retaining document tags collected by the first and second collecting according to their subject-match scores; and storing a representation of the collected set of document tags that identify the electronic documents in a memory of the computer system to provide the response to the request to identify the one or more electronic documents. | 1. A computer-performed method of organizing a collection of electronic documents, the method comprising: in a computer system, storing entries in multiple dictionaries separate from and not associated with any particular one of the electronic documents, wherein the multiple dictionaries are data structures within the computer system, wherein individual ones of the multiple dictionaries correspond to one of a plurality of different subjects, wherein the entries contain a descriptive term and a subject-determining-power score corresponding to the descriptive term, wherein an individual subject-determining-power score indicates the relative strength or weakness of the corresponding descriptive term with respect to the subject of the one of the multiple dictionaries containing the entry in which the descriptive term is stored, and wherein at least some of the descriptive terms are present in two or more of the multiple dictionaries; responsive to requests within the computer system to identify one or more of the electronic documents, wherein the requests include at least one search term descriptive of the one or more electronic documents, accessing the collection of electronic documents by matching the at least one search term with descriptive terms in the multiple dictionaries to determine one or more subjects of the request from subjects of one or more of the multiple dictionaries that contain the descriptive terms matching the at least one search term, and applying the subject-determining power scores to determine which of the subjects of the one or more of the multiple dictionaries that contain the descriptive terms that match the at least one search term are most applicable to the request; ranking the one or more subjects determined by the matching according to a match score computed for individual ones of the one or more subjects with respect to the at least one search term; determining one of the at least one search term having a greatest subject-determining power score among the one or more subjects and a subject to which the greatest subject-determining power score corresponds; until a predetermined number of documents are identified, collecting document tags having a best match to the highest-ranking subject for which the document tags have not yet been collected, in a collected set of document tags for the request by first collecting a number of document tags having highest subject-match scores for the subject to which the greatest subject-determining power score for a first one of the at least one search term corresponds, and adding the collected number of document tags to the collected set of document tags, second collecting another number of documents having highest subject-match scores for another subject to which a next greatest subject-determining power score for another one of the at least one search term corresponds, and adding documents from the other number of documents to the collected set of documents; reducing the collected set of document tags by retaining document tags collected by the first and second collecting according to their subject-match scores; and storing a representation of the collected set of document tags that identify the electronic documents in a memory of the computer system to provide the response to the request to identify the one or more electronic documents. 6. The method of claim 1 , further comprising tagging electronic documents within the collection of electronic documents, the tagging comprising: finding terms within the electronic documents to be tagged; matching the terms with the descriptive terms within entries in the multiple dictionaries to determine a ranking of the multiple dictionaries by relative relation of their associated subjects to the content of the electronic documents to be tagged; and storing a result of the matching for subsequent retrieval when performing electronic document searches. | 0.62027 |
8,756,279 | 10 | 16 | 10. A computer-readable storage medium persistently storing a program, wherein the program, when executed, instructs one or more processors to perform the following operations: receive a list of websites having online publications; gather counts of user signals for each online publication on each website; determine content descriptors for each online publication; count the online publications at each website associated with each content descriptor; and count the user signals at each website associated with each content descriptor. | 10. A computer-readable storage medium persistently storing a program, wherein the program, when executed, instructs one or more processors to perform the following operations: receive a list of websites having online publications; gather counts of user signals for each online publication on each website; determine content descriptors for each online publication; count the online publications at each website associated with each content descriptor; and count the user signals at each website associated with each content descriptor. 16. The computer-readable storage medium of claim 10 , wherein the user signals are pageviews. | 0.898925 |
9,443,035 | 1 | 5 | 1. A method for suggesting search query completions for a language having ideographs and phonetic characters, comprising: on a search engine having one or more processors and memory storing programs executed by the one or more processors: receiving a partial search query from a search requestor, the partial search query comprising one or more ideographs followed by at least one phonetic character that forms an incomplete phonetic sequence consistent with a first ideograph distinct from the one or more ideographs, and the partial search query comprises a portion of a complete search query, wherein the one or more ideographs of the partial search query include one or more Asian language ideographs, and the first ideograph corresponding to the at least one phonetic character comprises a respective Asian language ideograph; and automatically, in response to receiving the partial search query from the search requestor, prior to the search requestor signaling completion of a search query, and prior to the search requester entering any text beyond the one or more ideographs followed by at least one phonetic character: in accordance with both the one or more ideographs and the at least one phonetic character, obtaining a set of predicted complete search queries corresponding to the partial search query from search queries submitted by a community of users, the set of predicted complete search queries ordered in accordance with a ranking criteria, including the search engine making a prediction of the first ideograph, based on the at least one phonetic character, and obtaining the set of predicted complete search queries corresponding to the one or more ideographs in the partial search query and the predicted first ideograph; and conveying the set of ordered predicted search queries to the search requestor; wherein each search query of the set of the predicted complete search queries includes both the one or more Asian language ideographs of the partial search query and the respective Asian language ideograph consistent with the incomplete phonetic sequence. | 1. A method for suggesting search query completions for a language having ideographs and phonetic characters, comprising: on a search engine having one or more processors and memory storing programs executed by the one or more processors: receiving a partial search query from a search requestor, the partial search query comprising one or more ideographs followed by at least one phonetic character that forms an incomplete phonetic sequence consistent with a first ideograph distinct from the one or more ideographs, and the partial search query comprises a portion of a complete search query, wherein the one or more ideographs of the partial search query include one or more Asian language ideographs, and the first ideograph corresponding to the at least one phonetic character comprises a respective Asian language ideograph; and automatically, in response to receiving the partial search query from the search requestor, prior to the search requestor signaling completion of a search query, and prior to the search requester entering any text beyond the one or more ideographs followed by at least one phonetic character: in accordance with both the one or more ideographs and the at least one phonetic character, obtaining a set of predicted complete search queries corresponding to the partial search query from search queries submitted by a community of users, the set of predicted complete search queries ordered in accordance with a ranking criteria, including the search engine making a prediction of the first ideograph, based on the at least one phonetic character, and obtaining the set of predicted complete search queries corresponding to the one or more ideographs in the partial search query and the predicted first ideograph; and conveying the set of ordered predicted search queries to the search requestor; wherein each search query of the set of the predicted complete search queries includes both the one or more Asian language ideographs of the partial search query and the respective Asian language ideograph consistent with the incomplete phonetic sequence. 5. The method of claim 1 , further comprising: obtaining a set of historical search queries previously submitted by a community of users, wherein each of the queries in the set of historical search queries has a frequency of submission and includes at least one Asian language ideograph; mapping strings of one or more Asian language ideographs from the plurality of historical search queries into one or more representations that include a string of one or more phonetic characters; and generating a plurality of ordered subsets from the identified set of historical search queries, wherein each ordered subset includes one or more historical search queries from the identified set of historical search queries ordered in accordance with the respective frequency of submission. | 0.5 |
8,160,901 | 5 | 7 | 5. A method of identification of a possible personalized intervention for a patient experiencing at least one side effect associated with a present intervention, the method comprising: providing a database communicatively coupled with a server computer, the database containing patient information for a plurality of patients including one or more attributes for each patient in the database; providing a graphical user interface on a client computer, the graphical user interface allowing a patient to formulate a request specifying one or more attributes of the patient including: one or more diseases currently affecting the patient; one or more interventions currently employed by patient; and one or more side effects currently experienced by the patient; searching the database of patient information for a set of other patients that previoulsy experienced at least one of the specified side effects when employing at least one of the specified interventions; for each of the other patients in the set of other patients that previously experienced at least one of the specified side effects when employing the at least one of the specified interventions, identifying an alternative intervention that was employed most-recently by that other patient; and returning a set of the one or more alternative interventions that were most-commonly employed most-recently by the set of other patients that experienced the one or more specified side effects when employing the one or more specified interventions; wherein the intervention is selected from the group consisting of: administration of a medication, administration of a remedy, administration of a nutritional supplement, administration of a vitamin, exercise, physical therapy, message, stretching, consumuption of food, rest, sleep, and a modification of any of the foregoing. | 5. A method of identification of a possible personalized intervention for a patient experiencing at least one side effect associated with a present intervention, the method comprising: providing a database communicatively coupled with a server computer, the database containing patient information for a plurality of patients including one or more attributes for each patient in the database; providing a graphical user interface on a client computer, the graphical user interface allowing a patient to formulate a request specifying one or more attributes of the patient including: one or more diseases currently affecting the patient; one or more interventions currently employed by patient; and one or more side effects currently experienced by the patient; searching the database of patient information for a set of other patients that previoulsy experienced at least one of the specified side effects when employing at least one of the specified interventions; for each of the other patients in the set of other patients that previously experienced at least one of the specified side effects when employing the at least one of the specified interventions, identifying an alternative intervention that was employed most-recently by that other patient; and returning a set of the one or more alternative interventions that were most-commonly employed most-recently by the set of other patients that experienced the one or more specified side effects when employing the one or more specified interventions; wherein the intervention is selected from the group consisting of: administration of a medication, administration of a remedy, administration of a nutritional supplement, administration of a vitamin, exercise, physical therapy, message, stretching, consumuption of food, rest, sleep, and a modification of any of the foregoing. 7. The method of claim 5 , wherein the disease includes at least one selected from the group consisting of: neurological diseases, Amytrophric Lateral Sclerosis (ALS), Multiple Sclerosis (MS), Parkinson's Disease, Human Immunodeficiency Virus (HIV), Acquired Immune Deficiency Syndrome (AIDS), depression, mood disorders, cancer, blood cancer, fibromyalgia, epilepsy, post traumatic stress disorder, traumatic brain injury, cardiovascular disease, osteoporosis, chronic obstructive pulmonary disease, arthritis, allergies, autoimmune diseases, and lupus. | 0.5 |
9,307,003 | 8 | 11 | 8. The method of claim 6 wherein associating each of the plurality of candidate root nodes comprises further identifying the second potential root node as a URL pointing to a cache-busted string. | 8. The method of claim 6 wherein associating each of the plurality of candidate root nodes comprises further identifying the second potential root node as a URL pointing to a cache-busted string. 11. The method of claim 8 wherein associating the determined likelihood with the candidate root node comprises: comparing domains of the plurality of active root nodes with a domain of the requested HTTP object. | 0.54721 |
9,760,343 | 19 | 20 | 19. A system for a build process in an integrated development environment (IDE) for building a hybrid App, comprising: a non-transitory memory device for storing computer readable program code; and a processor in communication with the memory device, the processor being operative with the computer readable program code to implement a UI module for facilitating navigation of the IDE by a user for building the hybrid App, the UI module includes a graphical user interface that receives user input of configuration information of the hybrid App to be built; an App programming module, the App programming module comprises resources for designing and coding the hybrid App, wherein the App programming module generates source code of the hybrid App during development of the hybrid App and provides the developed hybrid App for the build process; a pre-build module, wherein the pre-build module comprises, an app metadata editor that generates App metadata of the hybrid App which has been developed and which is to be built by the build process in response to the user input of the configuration information of the hybrid App in the graphical user interface including preferences and information about the build environment setup, data sources and plugins of the hybrid App, the App metadata includes the configuration information of the developed hybrid App to be built by the build process; a build rules block containing build rules, wherein the build rules describe build actions to be performed and sequence of the build actions, the build rules comprise a rules set that is specific to an application model of the hybrid App to be built; a build script engine, the build script engine comprising, a build rules parser for processing the build rules from the build rules block, an App metadata parser for processing the App metadata generated by the metadata editor and extracting information used for building and configuring the hybrid App, a build script generator, the build script generator automatically generates build scripts in response to the processed build rules and processed App metadata, the build scripts provide files needed for building the hybrid App, and a trigger generator for generating a build trigger after the build scripts are generated; and a deployment module, wherein in response to the generated build trigger, the deployment module builds the hybrid App based on the build scripts and deploys the hybrid App after the build. | 19. A system for a build process in an integrated development environment (IDE) for building a hybrid App, comprising: a non-transitory memory device for storing computer readable program code; and a processor in communication with the memory device, the processor being operative with the computer readable program code to implement a UI module for facilitating navigation of the IDE by a user for building the hybrid App, the UI module includes a graphical user interface that receives user input of configuration information of the hybrid App to be built; an App programming module, the App programming module comprises resources for designing and coding the hybrid App, wherein the App programming module generates source code of the hybrid App during development of the hybrid App and provides the developed hybrid App for the build process; a pre-build module, wherein the pre-build module comprises, an app metadata editor that generates App metadata of the hybrid App which has been developed and which is to be built by the build process in response to the user input of the configuration information of the hybrid App in the graphical user interface including preferences and information about the build environment setup, data sources and plugins of the hybrid App, the App metadata includes the configuration information of the developed hybrid App to be built by the build process; a build rules block containing build rules, wherein the build rules describe build actions to be performed and sequence of the build actions, the build rules comprise a rules set that is specific to an application model of the hybrid App to be built; a build script engine, the build script engine comprising, a build rules parser for processing the build rules from the build rules block, an App metadata parser for processing the App metadata generated by the metadata editor and extracting information used for building and configuring the hybrid App, a build script generator, the build script generator automatically generates build scripts in response to the processed build rules and processed App metadata, the build scripts provide files needed for building the hybrid App, and a trigger generator for generating a build trigger after the build scripts are generated; and a deployment module, wherein in response to the generated build trigger, the deployment module builds the hybrid App based on the build scripts and deploys the hybrid App after the build. 20. The integrated development environment of claim 19 wherein: the build script engine comprises a delta detection block, the delta detection block compares the processed App metadata, processed build rules and source code of the hybrid App with App metadata, build rules and source code of a previous version of the hybrid App, and generates a delta list comprising build steps based on the differences; and the build script generator generates the build scripts based on the build rules, App metadata and delta list. | 0.5 |
9,158,748 | 15 | 20 | 15. Apparatus for accessing electronic documents, the apparatus comprising: a server computer storing a plurality of electronic documents; a plurality of client computers that can view the plurality of electronic documents stored on the host server and can copy text from the plurality of electronic documents; and an annotation service, wherein the annotation service generates a first annotation from a selected portion of text within a first electronic document by: analyzing an unselected portion of text that precedes the selected portion of text within the first electronic document; and identifying a part of the unselected portion of text to replace a part of the selected portion of text; and wherein the annotation service makes the first annotation available to a first client computer in the plurality of client computers when the first client computer copies the selected portion of text, and wherein the first annotation is used to generate a modified selected portion of text that is pasted into a second electronic document different from the first electronic document. | 15. Apparatus for accessing electronic documents, the apparatus comprising: a server computer storing a plurality of electronic documents; a plurality of client computers that can view the plurality of electronic documents stored on the host server and can copy text from the plurality of electronic documents; and an annotation service, wherein the annotation service generates a first annotation from a selected portion of text within a first electronic document by: analyzing an unselected portion of text that precedes the selected portion of text within the first electronic document; and identifying a part of the unselected portion of text to replace a part of the selected portion of text; and wherein the annotation service makes the first annotation available to a first client computer in the plurality of client computers when the first client computer copies the selected portion of text, and wherein the first annotation is used to generate a modified selected portion of text that is pasted into a second electronic document different from the first electronic document. 20. The apparatus of claim 15 , wherein the plurality of electronic documents comprise word processing documents. | 0.807167 |
10,108,621 | 1 | 6 | 1. A computing device for content indexing of data files being archived, the computing device comprising: one or more processors and computer-memory; an executable indexer that is configured to, in the course of one or more data files being archived to respective archive copies, index the one or more data files according to content attributes, including at least one of: textual content, picture content, video content, and audio content, wherein each archive copy is stored offline relative to a user computing device; the executable indexer further configured to: (a) associate content attributes with respective smaller portions of each archive copy, (b) for the one or more data files being archived, generate a searchable content index of associated content attributes relative to the smaller portions of each archive copy, and (c) associate the content index with the respective archive copies; and an executable search filter that is configured to: (i) search in the content index for one or more search criteria received from the user computing device, (ii) cause only smaller portions of respective archive copies that satisfy the one or more search criteria, to be mounted to the user computing device, wherein archive copies and smaller portions thereof that do not satisfy the one or more search criteria are not mounted and remain offline relative to the user computing device, and (iii) present in response to the search criteria a fast-forward progression through the mounted smaller portions of respective archive copies that satisfy the one or more search criteria, without restoring the respective archive copies in their entireties to the user computing device. | 1. A computing device for content indexing of data files being archived, the computing device comprising: one or more processors and computer-memory; an executable indexer that is configured to, in the course of one or more data files being archived to respective archive copies, index the one or more data files according to content attributes, including at least one of: textual content, picture content, video content, and audio content, wherein each archive copy is stored offline relative to a user computing device; the executable indexer further configured to: (a) associate content attributes with respective smaller portions of each archive copy, (b) for the one or more data files being archived, generate a searchable content index of associated content attributes relative to the smaller portions of each archive copy, and (c) associate the content index with the respective archive copies; and an executable search filter that is configured to: (i) search in the content index for one or more search criteria received from the user computing device, (ii) cause only smaller portions of respective archive copies that satisfy the one or more search criteria, to be mounted to the user computing device, wherein archive copies and smaller portions thereof that do not satisfy the one or more search criteria are not mounted and remain offline relative to the user computing device, and (iii) present in response to the search criteria a fast-forward progression through the mounted smaller portions of respective archive copies that satisfy the one or more search criteria, without restoring the respective archive copies in their entireties to the user computing device. 6. The computing device of claim 1 wherein the executable indexer is further configured to: (d) for the one or more data files being archived, generate a searchable file-attribute index comprising file attributes for each respective archive copy, and (e) associate the file-attribute index with the respective archive copies; and wherein the one or more search criteria also comprise at least one file attribute and wherein the executable search filter is further configured to also search in the file-attribute index for the at least one file attribute. | 0.5 |
8,639,680 | 11 | 13 | 11. The system of claim 10 , wherein the memory further includes instructions that, when executed, cause the processor to: receive a search query from the client device, the search query including one or more query terms; identify multiple candidates of text responsive to the one or more query terms of the search query, where the multiple candidates of text includes text that will be visually displayed from the web page and text that will not be visually displayed from the web page; and select text, that is responsive to the one or more query terms of the search query, from the multiple candidates of text based on the weighting factors. | 11. The system of claim 10 , wherein the memory further includes instructions that, when executed, cause the processor to: receive a search query from the client device, the search query including one or more query terms; identify multiple candidates of text responsive to the one or more query terms of the search query, where the multiple candidates of text includes text that will be visually displayed from the web page and text that will not be visually displayed from the web page; and select text, that is responsive to the one or more query terms of the search query, from the multiple candidates of text based on the weighting factors. 13. The system of claim 11 , wherein the memory includes instructions that, when executed, cause the processor to provide, for display, a list of search results, including the text that is responsive to the one or more query terms of the search query, in a rank order based on the weighting factors. | 0.5 |
9,460,085 | 1 | 6 | 1. A method, in an information handling system comprising a processor and a memory, of improving a quality of question-answer sets used as inputs to a question-answering (QA) system, the method comprising: receiving, from a user interface that is utilized by a user, a question-answer pair; analyzing the question-answer pair using natural language processing (NLP) components, wherein the question-answer pair includes a question and an answer to the question, and wherein at least one of the NLP components is a configurable analyzer extension; identifying, based on the analysis, one or more shortcomings of the question-answer pair, wherein the shortcomings relate to an ability of the target QA system to analyze the question; providing a human-readable feedback to the user by transmitting the human-readable feedback to the user interface, wherein the feedback recommends one or more possible actions to address the identified shortcomings; and receiving, from the user interface, a modified question-answer pair input by the user, wherein the modified question-answer pair addresses at least one of the shortcoming by performing at least one of the possible actions included in the human-readable feedback. | 1. A method, in an information handling system comprising a processor and a memory, of improving a quality of question-answer sets used as inputs to a question-answering (QA) system, the method comprising: receiving, from a user interface that is utilized by a user, a question-answer pair; analyzing the question-answer pair using natural language processing (NLP) components, wherein the question-answer pair includes a question and an answer to the question, and wherein at least one of the NLP components is a configurable analyzer extension; identifying, based on the analysis, one or more shortcomings of the question-answer pair, wherein the shortcomings relate to an ability of the target QA system to analyze the question; providing a human-readable feedback to the user by transmitting the human-readable feedback to the user interface, wherein the feedback recommends one or more possible actions to address the identified shortcomings; and receiving, from the user interface, a modified question-answer pair input by the user, wherein the modified question-answer pair addresses at least one of the shortcoming by performing at least one of the possible actions included in the human-readable feedback. 6. The method of claim 1 further comprising: receiving, prior to the transmission of the human-readable feedback, a regular expression provided by the user that matches one or more other correct answers; and receiving, prior to the transmission of the human-readable feedback, a network address provided by the user, wherein the network address corresponds to a network location that includes the answer. | 0.801961 |
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