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9,165,072 | 8 | 9 | 8. A system, comprising: at least one computing device; and at least one application executable by the at least one computing device, the at least one application comprising: logic that obtains a plurality of search queries from a plurality of users; logic that determines a plurality of media content items by executing a plurality of verbal media content searches based at least in part on the plurality of search queries, the plurality of media content items including verbal media content that is relevant to respective ones of the plurality of search queries; and logic that generates a customized abridgement of a media content feature based at least in part on an interest expressed by the plurality of users in a plurality of portions of the media content via the plurality of verbal media content searches, the customized abridgement including a first portion of the media content feature and a second portion of the media content feature and excluding a third portion of the media content feature that is between the first portion and the second portion. | 8. A system, comprising: at least one computing device; and at least one application executable by the at least one computing device, the at least one application comprising: logic that obtains a plurality of search queries from a plurality of users; logic that determines a plurality of media content items by executing a plurality of verbal media content searches based at least in part on the plurality of search queries, the plurality of media content items including verbal media content that is relevant to respective ones of the plurality of search queries; and logic that generates a customized abridgement of a media content feature based at least in part on an interest expressed by the plurality of users in a plurality of portions of the media content via the plurality of verbal media content searches, the customized abridgement including a first portion of the media content feature and a second portion of the media content feature and excluding a third portion of the media content feature that is between the first portion and the second portion. 9. The system of claim 8 , wherein the customized abridgement is generated based at least in part on a maximum length. | 0.900673 |
8,732,194 | 2 | 4 | 2. The computer-implemented method of claim 1 , wherein semantically linking the documents further comprises: locating at least one citation present in a citing document; determining a reason-for-citing for the at least one citation; determining the cited-text-area present in the cited document, wherein the cited-text-area corresponds with the reason-for-citing; and populating a citation entry of a citation-pairing metadata file. | 2. The computer-implemented method of claim 1 , wherein semantically linking the documents further comprises: locating at least one citation present in a citing document; determining a reason-for-citing for the at least one citation; determining the cited-text-area present in the cited document, wherein the cited-text-area corresponds with the reason-for-citing; and populating a citation entry of a citation-pairing metadata file. 4. The computer-implemented method of claim 2 , wherein searching the citation-pairing metadata file further comprises: performing a depth-first search of the citation network by querying the citation-pairing metadata file; and retrieving forward-chained and backward-chained reasons-for-citing and cited-text-areas that are semantically similar to the at least one issue. | 0.894138 |
9,052,844 | 1 | 5 | 1. A computer-implemented method of arranging text items in a predefined order, comprising: storing, in the memory of a peripheral device, a collection of multiple text items arranged in multiple sets of text items and in multiple groups of text items; and storing a respective code item with a respective group of text items; storing a sort key that has values that designate a predefined order of the text items in each set; wherein the sort key is appended to the text items and comprises at least one character with a value within the Private Use range of the Unicode format sorting the list according to a predetermined sort order using the program and receiving from the program a sorted list with the text items in said sort order; appending the sort key to the text items in the sorted list in a way to designate said sort order; and providing the sorted list with the sort key for storing as a set of the collection of text items in the memory of the peripheral device. | 1. A computer-implemented method of arranging text items in a predefined order, comprising: storing, in the memory of a peripheral device, a collection of multiple text items arranged in multiple sets of text items and in multiple groups of text items; and storing a respective code item with a respective group of text items; storing a sort key that has values that designate a predefined order of the text items in each set; wherein the sort key is appended to the text items and comprises at least one character with a value within the Private Use range of the Unicode format sorting the list according to a predetermined sort order using the program and receiving from the program a sorted list with the text items in said sort order; appending the sort key to the text items in the sorted list in a way to designate said sort order; and providing the sorted list with the sort key for storing as a set of the collection of text items in the memory of the peripheral device. 5. A computer-implemented method according to claim 1 , wherein the sort key is appended to the text items as a leading or trailing character to constitute a text item that comprises characters within the Private Use Range and in the range not comprised by the Private Use range. | 0.531879 |
9,554,258 | 2 | 3 | 2. The method of claim 1 , wherein searching the content database to retrieve the one or more content items comprises: determining, based on the frequency analysis, one or more of a featured keyword and a featured key phrase from the preference model; and searching the content database to retrieve the one or more content items that match at least one of the one or more of the featured keyword and the featured key phrase. | 2. The method of claim 1 , wherein searching the content database to retrieve the one or more content items comprises: determining, based on the frequency analysis, one or more of a featured keyword and a featured key phrase from the preference model; and searching the content database to retrieve the one or more content items that match at least one of the one or more of the featured keyword and the featured key phrase. 3. The method of claim 2 , wherein the one or more of the featured keyword and the featured key phrase are associated with one or more latest timestamps. | 0.931513 |
9,971,839 | 1 | 9 | 1. A computer-implemented method comprising: hosting, using one or more computing devices, a social network comprising a plurality of communities associated with a plurality of users; identifying, from the plurality of communities, a set of communities that a first user belongs to; determining, using the one or more computing devices, a list of classifications for the first user based upon the set of communities; determining a degree of personalization based on an amount that the first user has participated in each community of the set of communities; determining, using the one or more computing devices, personalization information from the list of classifications associated with the first user and the degree of personalization; generating, using the one or more computing devices, a personalized search query based upon the personalization information; and searching, using the one or more computing devices, a content index using the personalized search query to produce a search result set comprising documents relevant to the personalized search query. | 1. A computer-implemented method comprising: hosting, using one or more computing devices, a social network comprising a plurality of communities associated with a plurality of users; identifying, from the plurality of communities, a set of communities that a first user belongs to; determining, using the one or more computing devices, a list of classifications for the first user based upon the set of communities; determining a degree of personalization based on an amount that the first user has participated in each community of the set of communities; determining, using the one or more computing devices, personalization information from the list of classifications associated with the first user and the degree of personalization; generating, using the one or more computing devices, a personalized search query based upon the personalization information; and searching, using the one or more computing devices, a content index using the personalized search query to produce a search result set comprising documents relevant to the personalized search query. 9. The computer-implemented method of claim 1 , further comprising receiving, from the first user, a search query directed to the content index that is independent of the social network. | 0.804622 |
8,356,045 | 1 | 15 | 1. A computerized method to identify a common structure from a collection of formatted text documents, said method comprising: creating a two dimensional array to record an occurrence of text segments in the formatted documents, using a processor on a computer; sequentially retrieving documents from said collection of formatted documents; parsing each said retrieved document, using said processor, into text segments according to a segmentation scheme and record scheme attributes of a format used in said formatted documents; entering each occurrence of said text segments in said retrieved documents into said two dimensional array; selecting common text segments across a majority of the documents; creating a one dimensional array and recording therein frequencies of adjacent common segment pairs across the documents; selecting high frequency pairs as starting and ending markers of landmarks; and providing, as an output, a sequence of said landmarks as comprising a common structure of said collection of formatted text documents. | 1. A computerized method to identify a common structure from a collection of formatted text documents, said method comprising: creating a two dimensional array to record an occurrence of text segments in the formatted documents, using a processor on a computer; sequentially retrieving documents from said collection of formatted documents; parsing each said retrieved document, using said processor, into text segments according to a segmentation scheme and record scheme attributes of a format used in said formatted documents; entering each occurrence of said text segments in said retrieved documents into said two dimensional array; selecting common text segments across a majority of the documents; creating a one dimensional array and recording therein frequencies of adjacent common segment pairs across the documents; selecting high frequency pairs as starting and ending markers of landmarks; and providing, as an output, a sequence of said landmarks as comprising a common structure of said collection of formatted text documents. 15. The method of claim 1 , further comprising initially receiving a user input that defines the text segmentation scheme, dependent upon a text document formatting of said documents. | 0.689831 |
8,291,014 | 14 | 18 | 14. A non-transitory memory device storing: one or more instructions which, when executed by one or more processors, cause the one or more processors to receive, from a first user, one or more comments related to a first document; one or more instructions which, when executed by the one or more processors, cause the one or more processors to identify a second document that is not identical to the first document and includes at least a threshold amount of content from the first document; one or more instructions which, when executed by the one or more processors, cause the one or more processors to determine a document identifier associated with the second document; one or more instructions which, when executed by the one or more processors, cause the one or more processors to store information that includes the one or more comments related to the first document and the document identifier associated with the second document; one or more instructions which, when executed by the one or more processors, cause the one or more processors to associate the one or more comments related to the first document with the document identifier associated with the second document; one or more instructions which, when executed by the one or more processors, cause the one or more processors to form a web document that, when rendered, includes a first portion and a second portion being different, the first portion comprising content associated with the second document and the second portion comprising the one or more comments related to the first document; and one or more instructions which, when executed by the one or more processors, cause the one or more processors to enable a second user to access the web document. | 14. A non-transitory memory device storing: one or more instructions which, when executed by one or more processors, cause the one or more processors to receive, from a first user, one or more comments related to a first document; one or more instructions which, when executed by the one or more processors, cause the one or more processors to identify a second document that is not identical to the first document and includes at least a threshold amount of content from the first document; one or more instructions which, when executed by the one or more processors, cause the one or more processors to determine a document identifier associated with the second document; one or more instructions which, when executed by the one or more processors, cause the one or more processors to store information that includes the one or more comments related to the first document and the document identifier associated with the second document; one or more instructions which, when executed by the one or more processors, cause the one or more processors to associate the one or more comments related to the first document with the document identifier associated with the second document; one or more instructions which, when executed by the one or more processors, cause the one or more processors to form a web document that, when rendered, includes a first portion and a second portion being different, the first portion comprising content associated with the second document and the second portion comprising the one or more comments related to the first document; and one or more instructions which, when executed by the one or more processors, cause the one or more processors to enable a second user to access the web document. 18. The non-transitory memory device of claim 14 , further storing: one or more instructions to automatically determine a user identifier associated with the first user; and one or more instructions to include, in the stored information, the determined user identifier. | 0.785144 |
8,156,062 | 14 | 19 | 14. Apparatus for constructing a database to deduce a disease and constructing a Bayesian network for U-Health application, comprising: a memory including code which when accessed by a processor causes the processor to execute the steps of: analyzing U-Health information, which includes a disease, a symptom, and a treatment, and constructing a plurality of U-Health ontologies required for service provision; setting a meta-model defining cause-and-effect relationships between the constructed U-Health ontologies; and selecting a subset of the constructed U-Health ontologies comprising at least two specific U-Health ontologies from among the plurality of U-Health ontologies, setting the selected U-Health ontologies as nodes, generating a Bayesian network by applying the meta-model to the set nodes to thereby construct a customized database for inferring a disease of a user; whereby upon receiving personal information of the user, a disease of the user is inferred using a probabilistic analysis of said Bayesian network. | 14. Apparatus for constructing a database to deduce a disease and constructing a Bayesian network for U-Health application, comprising: a memory including code which when accessed by a processor causes the processor to execute the steps of: analyzing U-Health information, which includes a disease, a symptom, and a treatment, and constructing a plurality of U-Health ontologies required for service provision; setting a meta-model defining cause-and-effect relationships between the constructed U-Health ontologies; and selecting a subset of the constructed U-Health ontologies comprising at least two specific U-Health ontologies from among the plurality of U-Health ontologies, setting the selected U-Health ontologies as nodes, generating a Bayesian network by applying the meta-model to the set nodes to thereby construct a customized database for inferring a disease of a user; whereby upon receiving personal information of the user, a disease of the user is inferred using a probabilistic analysis of said Bayesian network. 19. The apparatus as claimed in claim 14 , wherein the U-Health ontology corresponds to an ontology input from a user through an interface which enables the user to edit the ontology. | 0.856132 |
10,146,748 | 23 | 24 | 23. A user device comprising: a display device; a memory; and a processing device communicably coupled to the display device and the memory, wherein the processing device to execute instruction from the memory to cause the processing device to perform operations comprising: providing, via a graphical user interface (GUI) displayed on the display device, a media collaboration, the media collaboration comprising a composite media stream generated from combining media streams transmitted from devices of users; providing, via the GUI, a communication associated with a location as part of the media collaboration; receiving embedded location information comprising a map corresponding to the location, the location identified using natural language processing (NLP) techniques on the communication and location association techniques to identify the location information; receiving, without user intervention, a preview of the location information identified using the NLP techniques, the preview comprising the map and a user interface (UI) element, the UI element to confirm sharing of the location information within the media collaboration; providing, without user intervention, the preview via a graphical user interface (GUI) of the media collaboration, the preview provided in a conversation portion of the GUI of the media collaboration without being visible to other users in the conversation portion of the GUI of the media collaboration, wherein the user is associated with the user device; responsive to receiving an indication to share the location information via the UI element of the preview, providing, via the GUI, the embedded location information comprising the map as part of the media collaboration and visible within the media collaboration to the other users; and responsive to receiving an indication that sharing of the location information is declined, removing the preview from the GUI without sharing the location information in the media collaboration. | 23. A user device comprising: a display device; a memory; and a processing device communicably coupled to the display device and the memory, wherein the processing device to execute instruction from the memory to cause the processing device to perform operations comprising: providing, via a graphical user interface (GUI) displayed on the display device, a media collaboration, the media collaboration comprising a composite media stream generated from combining media streams transmitted from devices of users; providing, via the GUI, a communication associated with a location as part of the media collaboration; receiving embedded location information comprising a map corresponding to the location, the location identified using natural language processing (NLP) techniques on the communication and location association techniques to identify the location information; receiving, without user intervention, a preview of the location information identified using the NLP techniques, the preview comprising the map and a user interface (UI) element, the UI element to confirm sharing of the location information within the media collaboration; providing, without user intervention, the preview via a graphical user interface (GUI) of the media collaboration, the preview provided in a conversation portion of the GUI of the media collaboration without being visible to other users in the conversation portion of the GUI of the media collaboration, wherein the user is associated with the user device; responsive to receiving an indication to share the location information via the UI element of the preview, providing, via the GUI, the embedded location information comprising the map as part of the media collaboration and visible within the media collaboration to the other users; and responsive to receiving an indication that sharing of the location information is declined, removing the preview from the GUI without sharing the location information in the media collaboration. 24. The user device of claim 23 , wherein the location information comprises at least one of a map, an address, latitude and longitude coordinates, navigation options, reviews, website link, application link, images, animations, music, or videos. | 0.751012 |
8,239,265 | 1 | 6 | 1. One or more computer-storage media having computer-executable instructions embodied thereon that, when executed by a computing device, perform a method for providing contextual advertisements presented to a user in association with electronic books, the method comprising: receiving information to be included in a contextual advertisement for presentation to the user; identifying an electronic book including a plurality of pages; identifying content associated with each one of the plurality of pages; receiving a user profile associated with the user; comparing the information to be included in the contextual advertisement with content of a target page of the plurality of pages, the user profile, and content of one or more pages preceding the target page to determine whether the information to be included in the contextual advertisement corresponds with the content of the target page, the user profile, and the content of one or more pages preceding the target page; and based on determining that the information to be included in the contextual advertisement corresponds with the content of the target page, the user profile, and the content of one or more pages preceding the target page, presenting the contextual advertisement to the user. | 1. One or more computer-storage media having computer-executable instructions embodied thereon that, when executed by a computing device, perform a method for providing contextual advertisements presented to a user in association with electronic books, the method comprising: receiving information to be included in a contextual advertisement for presentation to the user; identifying an electronic book including a plurality of pages; identifying content associated with each one of the plurality of pages; receiving a user profile associated with the user; comparing the information to be included in the contextual advertisement with content of a target page of the plurality of pages, the user profile, and content of one or more pages preceding the target page to determine whether the information to be included in the contextual advertisement corresponds with the content of the target page, the user profile, and the content of one or more pages preceding the target page; and based on determining that the information to be included in the contextual advertisement corresponds with the content of the target page, the user profile, and the content of one or more pages preceding the target page, presenting the contextual advertisement to the user. 6. The computer-storage media of claim 1 , further comprising: generating the contextual advertisement based on one or more prequels to the electronic book. | 0.843373 |
8,255,460 | 16 | 18 | 16. A computer program product comprising a non-transitory tangible storage medium storing computer program instructions executable to perform a method comprising: storing a script associated with a campaign and a set of user information for a user selected for the campaign, the script specifying a plurality of events; executing a first instruction corresponding to the script, wherein the first instruction is operable to send a first communication to the user from a server; determining a value for a variable associated with an event specified by the script, wherein the determination of the value is based on an interaction with the first communication by the user; determining a second instruction according to the script based on the set of user information; and executing the second instruction to send a second communication to the user from the server. | 16. A computer program product comprising a non-transitory tangible storage medium storing computer program instructions executable to perform a method comprising: storing a script associated with a campaign and a set of user information for a user selected for the campaign, the script specifying a plurality of events; executing a first instruction corresponding to the script, wherein the first instruction is operable to send a first communication to the user from a server; determining a value for a variable associated with an event specified by the script, wherein the determination of the value is based on an interaction with the first communication by the user; determining a second instruction according to the script based on the set of user information; and executing the second instruction to send a second communication to the user from the server. 18. The computer program product of claim 16 , wherein the set of user information is obtained from a user interaction with an email. | 0.852222 |
9,514,746 | 1 | 4 | 1. A speech recognition and control system for controlling a medical device in an operating room, comprising: a medical device; a microphone receiving an audio input including one or more speech commands; an event detector analyzing the audio input and identifying at least one event of the audio input; a database including a plurality of rules, a first one of the plurality of rules immediately stopping a system or device activity as soon as it detects that the one or more speech commands is begun within a predetermined period of time after the activity was commenced, and a second one of the plurality of rules alerting if a disconnection with the microphone is detected; and a controller adapted to determine a system status including actions currently being performed by devices; the controller further adapted to determine whether or not hazard mitigation is necessary based on a comparison of the at least one event, at least one rule and the system status; if having determined that hazard mitigation is necessary, the controller sending a control command to the medical device instructing it to perform an action. | 1. A speech recognition and control system for controlling a medical device in an operating room, comprising: a medical device; a microphone receiving an audio input including one or more speech commands; an event detector analyzing the audio input and identifying at least one event of the audio input; a database including a plurality of rules, a first one of the plurality of rules immediately stopping a system or device activity as soon as it detects that the one or more speech commands is begun within a predetermined period of time after the activity was commenced, and a second one of the plurality of rules alerting if a disconnection with the microphone is detected; and a controller adapted to determine a system status including actions currently being performed by devices; the controller further adapted to determine whether or not hazard mitigation is necessary based on a comparison of the at least one event, at least one rule and the system status; if having determined that hazard mitigation is necessary, the controller sending a control command to the medical device instructing it to perform an action. 4. The system of claim 1 , wherein the at least one event includes one of a microphone malfunction. | 0.920673 |
9,262,404 | 11 | 12 | 11. A method for generating a test condition and expected result for a requirements sentence, the method comprising: receiving, by a processor, data that defines a first document; searching, by the processor, the data to identify data sections that define a requirements sentence; in response to identifying a requirements sentence, storing, by the processor, the data sections that define the requirements sentence to a memory in communication with the processor; generating, by a link grammar parser of a natural language processor, one or more links between pairs of words in the requirements sentence, wherein the link grammar parser labels the one or more links as linking pairs of words corresponding to at least one of: words that correspond to a subject, words that correspond to a noun phrase, and words that correspond to a verb phrase; identifying, with analysis logic executed by a processor, a test intent for the requirements sentence based at least one part on the one or more links generated by the link grammar parser; arranging, with test condition logic executed by a processor, the test intent into a positive test condition and positive expected result. | 11. A method for generating a test condition and expected result for a requirements sentence, the method comprising: receiving, by a processor, data that defines a first document; searching, by the processor, the data to identify data sections that define a requirements sentence; in response to identifying a requirements sentence, storing, by the processor, the data sections that define the requirements sentence to a memory in communication with the processor; generating, by a link grammar parser of a natural language processor, one or more links between pairs of words in the requirements sentence, wherein the link grammar parser labels the one or more links as linking pairs of words corresponding to at least one of: words that correspond to a subject, words that correspond to a noun phrase, and words that correspond to a verb phrase; identifying, with analysis logic executed by a processor, a test intent for the requirements sentence based at least one part on the one or more links generated by the link grammar parser; arranging, with test condition logic executed by a processor, the test intent into a positive test condition and positive expected result. 12. The method of claim 11 , further comprising: generating, with the test condition logic, a negative test condition and negative expected result. | 0.832192 |
7,496,500 | 9 | 10 | 9. The system of claim 1 , the reformulation of the data includes producing a logical form of the data and generating an action description from the logical form based on the intent. | 9. The system of claim 1 , the reformulation of the data includes producing a logical form of the data and generating an action description from the logical form based on the intent. 10. The system of claim 9 , logical form comprises at least one non-deictic element that replaced a deictic element in the data. | 0.935614 |
9,008,425 | 1 | 15 | 1. A method of detection of numbered captions in a document comprising: receiving a document comprising a sequence of document pages; identifying illustrations on pages of the document; for each identified illustration, identifying associated text; generating an imitation page for each of the identified illustrations, each of the imitation pages comprising only a single illustration and its associated text; for a sequence of the imitation pages, with a processor, identifying a sequence of terms, each term comprising a text fragment of the associate text of a respective one of the imitation pages, the terms of the sequence complying with at least one predefined numbering scheme which defines a form and an incremental state of the terms in a sequence; and construing the terms of the identified sequence of terms as each being at least a part of a numbered caption for a respective illustration in the document. | 1. A method of detection of numbered captions in a document comprising: receiving a document comprising a sequence of document pages; identifying illustrations on pages of the document; for each identified illustration, identifying associated text; generating an imitation page for each of the identified illustrations, each of the imitation pages comprising only a single illustration and its associated text; for a sequence of the imitation pages, with a processor, identifying a sequence of terms, each term comprising a text fragment of the associate text of a respective one of the imitation pages, the terms of the sequence complying with at least one predefined numbering scheme which defines a form and an incremental state of the terms in a sequence; and construing the terms of the identified sequence of terms as each being at least a part of a numbered caption for a respective illustration in the document. 15. The method of claim 1 wherein the graphical objects comprise at least one of vector graphics ad raster graphics. | 0.928129 |
9,141,698 | 8 | 9 | 8. The first mobile device of claim 7 , wherein the instructions further cause the computer processor to: associate supplemental information with the new note created in the dietary log, wherein the supplemental information comprises at least one of an image of the physical object, information derived from the image of the physical object, wirelessly received information, a machine readable code associated with the physical object, information based on the machine readable code, or contextual traits related to the physical object. | 8. The first mobile device of claim 7 , wherein the instructions further cause the computer processor to: associate supplemental information with the new note created in the dietary log, wherein the supplemental information comprises at least one of an image of the physical object, information derived from the image of the physical object, wirelessly received information, a machine readable code associated with the physical object, information based on the machine readable code, or contextual traits related to the physical object. 9. The first mobile device of claim 8 , wherein the contextual traits comprise at least one of a location, a place, a time, a source, a related note, a person, people, a group, a tag, an identity, sensor data, a media file, an audio file, physical data relating to the first mobile device, or derived data. | 0.764253 |
10,157,347 | 6 | 7 | 6. The method of claim 1 , wherein the domain model comprises a plurality of parameters associated with a domain corresponding to the enterprise data, and building the domain model comprises: selecting a domain from a domain catalog; selecting a domain problem for the selected domain, wherein the catalog includes suggested features for the domain problem; looping through the suggested features; using a feature extractor on source data samples to optimize the plurality of parameters; and saving the optimized parameters in the domain model. | 6. The method of claim 1 , wherein the domain model comprises a plurality of parameters associated with a domain corresponding to the enterprise data, and building the domain model comprises: selecting a domain from a domain catalog; selecting a domain problem for the selected domain, wherein the catalog includes suggested features for the domain problem; looping through the suggested features; using a feature extractor on source data samples to optimize the plurality of parameters; and saving the optimized parameters in the domain model. 7. The method of claim 6 , wherein building the domain model further comprises: looping through an algorithm catalog until defined thresholds are met; auto-suggesting an algorithm based on data volume parameters; evaluating results from the suggested algorithm using source data samples; allowing a domain expert to validate the results; and saving the results to the domain model. | 0.752276 |
9,122,751 | 1 | 3 | 1. A method comprising: receiving a selection of content within a transcript of an electronic communication, wherein the electronic communication is an instant messaging (IM) communication; applying a label to the content selected within the transcript; assigning a unique URL to the content selected from within the transcript; and forwarding at least the content selected to a storage location accessible via the unique URL. | 1. A method comprising: receiving a selection of content within a transcript of an electronic communication, wherein the electronic communication is an instant messaging (IM) communication; applying a label to the content selected within the transcript; assigning a unique URL to the content selected from within the transcript; and forwarding at least the content selected to a storage location accessible via the unique URL. 3. The method of claim 1 , further comprising: dynamically displaying a bookmark graphical user interface (GUI) with selectable options and preferences that may be applied to the content selected and provide additional information about the content selected within the transcript; detecting selection of one or more preferences to manage access to the content selected within the transcript, wherein preferences include one or more of: a private network, a community network, and a corporate network; and responsive to detecting selection of one of the one or more preferences, assigning the preference selected to the content, wherein the preferences are selected from among: enabling access to the content via a the private network that restricts access of the content to one or more creators of the IM transcript; enabling access to the content via a community network that confines access to at least one of one or more persons, one or more IP addresses, and one or more groups; enabling access to the content via a corporate network that permits access of the content to a registered members within a corporation; and enabling access to the content via a public network that provides open access. | 0.616294 |
9,489,629 | 15 | 16 | 15. A computer program product, comprising: a non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code executable by one or more computer processors to perform an operation comprising: receiving, by a question answering system, a case from a user; assigning a first level of user sophistication, of a plurality of levels of user sophistication, to the user; determining a level of evidence sophistication, of a plurality of levels of evidence sophistication, associated with each of a plurality of items of supporting evidence in a corpus of information used to process the case; selecting a subset of the plurality of items of supporting evidence based on the determined levels of user sophistication and evidence sophistication; and returning the selected subset to the user as part of a response to the case. | 15. A computer program product, comprising: a non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code executable by one or more computer processors to perform an operation comprising: receiving, by a question answering system, a case from a user; assigning a first level of user sophistication, of a plurality of levels of user sophistication, to the user; determining a level of evidence sophistication, of a plurality of levels of evidence sophistication, associated with each of a plurality of items of supporting evidence in a corpus of information used to process the case; selecting a subset of the plurality of items of supporting evidence based on the determined levels of user sophistication and evidence sophistication; and returning the selected subset to the user as part of a response to the case. 16. The computer program product of claim 15 , wherein the operation further comprises: assigning a level of evidence sophistication to each item of supporting evidence in the corpus based on at least one of: (i) a concept, subject, or topic of one or more passages in the item of supporting evidence and (ii) unstructured text passages in the item of supporting evidence. | 0.617284 |
7,685,507 | 20 | 21 | 20. The computer system of claim 18 , further comprising: upon the selection of the hyperlink by the user, a corresponding condition in the form calculation being highlighted. | 20. The computer system of claim 18 , further comprising: upon the selection of the hyperlink by the user, a corresponding condition in the form calculation being highlighted. 21. The computer system of claim 20 , further comprising: upon the selection of the hyperlink by the user, a dialog for setting up configuration of the spreadsheet being displayed. | 0.969502 |
9,691,169 | 1 | 11 | 1. A computing device implemented method comprising: receiving data representing a glyph in a font to present the glyph on a display; in response to operations being executed to present the glyph on the display, identifying one or more values shared by glyphs of the font for adjusting the appearance of the glyph, from a data table stored with the glyph in the font, either one or multiple instructions being executed based upon a comparison of adjusted versions of the glyph to identify the one or more shared values; and adjusting a representation of the glyph using the identified one or more shared values for presentation on the display. | 1. A computing device implemented method comprising: receiving data representing a glyph in a font to present the glyph on a display; in response to operations being executed to present the glyph on the display, identifying one or more values shared by glyphs of the font for adjusting the appearance of the glyph, from a data table stored with the glyph in the font, either one or multiple instructions being executed based upon a comparison of adjusted versions of the glyph to identify the one or more shared values; and adjusting a representation of the glyph using the identified one or more shared values for presentation on the display. 11. The computing device implemented method of claim 1 , wherein identifying the one or more shared values is initiated by executing one or more instructions in a repeated manner. | 0.839606 |
9,910,853 | 1 | 3 | 1. A method implemented on a computer having at least one processor, storage, and a communication platform for providing translated web content, comprising the steps of: receiving a request, via a public network connection, from an online user for content in a second language translated from content in a first language; obtaining in response to the request, via a public network connection, the content in the first language from an Internet source that hosts the content in the first language; dividing the obtained content in the first language into a plurality of translatable components; determining, with respect to each of the plurality of translatable components, whether there is a corresponding translated component previously stored; determining whether a number of translatable components that have corresponding translated components exceeds a threshold; and sending the obtained content in the first language to the online user as a response to the request when the number does not exceed the threshold. | 1. A method implemented on a computer having at least one processor, storage, and a communication platform for providing translated web content, comprising the steps of: receiving a request, via a public network connection, from an online user for content in a second language translated from content in a first language; obtaining in response to the request, via a public network connection, the content in the first language from an Internet source that hosts the content in the first language; dividing the obtained content in the first language into a plurality of translatable components; determining, with respect to each of the plurality of translatable components, whether there is a corresponding translated component previously stored; determining whether a number of translatable components that have corresponding translated components exceeds a threshold; and sending the obtained content in the first language to the online user as a response to the request when the number does not exceed the threshold. 3. The method of claim 1 , wherein the Internet source is different from a system where the request is received. | 0.887324 |
9,544,254 | 1 | 14 | 1. A system, comprising: a one or more computing servers; a one or more network interfaces; non-transitory computer readable memory storing program code that when executed by the one or more computing servers is configured to cause the system to at least: provide a software program for download to a first computing device associated with a user; receive a verified phone address associated with the user, wherein the verification of the phone address comprises verification that a received set of digits is a valid phone address; based at least in part on the receipt of the verified phone address, create a user account wherein the verified phone address is associated with the user account; 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 user to play the voice message via a web browser of a second computing device associated with the user; and in response to a voice message deletion instruction received via the web browser of the second computing device associated with the user, enable at least in part, synchronization of the deletion of the voice message stored on the first computing device associated with the user in cooperation with the software program on the first computing device associated with of the user. | 1. A system, comprising: a one or more computing servers; a one or more network interfaces; non-transitory computer readable memory storing program code that when executed by the one or more computing servers is configured to cause the system to at least: provide a software program for download to a first computing device associated with a user; receive a verified phone address associated with the user, wherein the verification of the phone address comprises verification that a received set of digits is a valid phone address; based at least in part on the receipt of the verified phone address, create a user account wherein the verified phone address is associated with the user account; 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 user to play the voice message via a web browser of a second computing device associated with the user; and in response to a voice message deletion instruction received via the web browser of the second computing device associated with the user, enable at least in part, synchronization of the deletion of the voice message stored on the first computing device associated with the user in cooperation with the software program on the first computing device associated with of the user. 14. The system as defined in claim 1 , the system is further configured to: determine the country of origin of a valid phone address from the received set of digits. | 0.766949 |
8,291,317 | 13 | 14 | 13. A document retrieving method for a document retrieving apparatus which comprises a display unit, comprising: a document retrieving step of retrieving, from a plurality of document data, one or more document data which include a page or an image element that matches an input retrieval condition; a retrieval result list display step of displaying, on the display unit, a list display of the one or more document data which include the page or the image element that matches the retrieval condition based on retrieval results of the document retrieving step; and a thumbnail display step of displaying, in the list display by the retrieval result list display step, both of first and second thumbnail images for each displayed document data, wherein the first thumbnail image is associated with the page or the image element in the document data which matches the retrieval condition, and the second thumbnail image is associated with a page or an image element which is automatically selected from other pages or other image elements in the document data based on a thumbnail configuration setting, wherein for each displayed document data, the thumbnail display step does not display a thumbnail image associated with a page or an image element which is not automatically selected from other pages or other image elements in the document data based on the thumbnail configuration setting, wherein the thumbnail configuration setting is a setting for selecting a first page or image element or a last page or image element in each displayed document data, and wherein for each displayed document data, the second thumbnail image to be displayed includes a thumbnail image associated with a first page or image element or a last page or image element in the displayed document data. | 13. A document retrieving method for a document retrieving apparatus which comprises a display unit, comprising: a document retrieving step of retrieving, from a plurality of document data, one or more document data which include a page or an image element that matches an input retrieval condition; a retrieval result list display step of displaying, on the display unit, a list display of the one or more document data which include the page or the image element that matches the retrieval condition based on retrieval results of the document retrieving step; and a thumbnail display step of displaying, in the list display by the retrieval result list display step, both of first and second thumbnail images for each displayed document data, wherein the first thumbnail image is associated with the page or the image element in the document data which matches the retrieval condition, and the second thumbnail image is associated with a page or an image element which is automatically selected from other pages or other image elements in the document data based on a thumbnail configuration setting, wherein for each displayed document data, the thumbnail display step does not display a thumbnail image associated with a page or an image element which is not automatically selected from other pages or other image elements in the document data based on the thumbnail configuration setting, wherein the thumbnail configuration setting is a setting for selecting a first page or image element or a last page or image element in each displayed document data, and wherein for each displayed document data, the second thumbnail image to be displayed includes a thumbnail image associated with a first page or image element or a last page or image element in the displayed document data. 14. The method according to claim 13 , wherein the thumbnail display step displays the second thumbnail image based on an arrangement order of pages or image elements to be allocated before or after the first thumbnail image. | 0.862469 |
7,599,921 | 1 | 4 | 1. A computer-implemented method comprising: retrieving, by a processor, a candidate name from memory; identifying, by the processor, a cultural classification that corresponds to the candidate name; retrieving, by the processor, one or more culture-specific regularization rules from the memory corresponding to the cultural classification; applying, by the processor, one or more of the culture-specific regularization rules to the candidate name, resulting in a regularized candidate name, wherein the applying further comprises: determining that a first regularization rule included in the one or more culture-specific regularization rules applies to the candidate name; generating a first iteration regularized candidate name by applying the first regularized rule to the candidate name; determining that a second regularization rule included in the one or more culture-specific regularization rules applies to the candidate name; and generating the regularized candidate name by applying the second regularized rule to the first iteration regularized candidate name; storing the regularized candidate name in the memory; comparing, by the processor, the regularized candidate name with a regularized query name; determining, by the processor, that the comparison meets a regularization matching threshold, which indicates a potential match between the regularized candidate name and the regularized query name; and in response to determining that comparison meets the regularization matching threshold, providing the candidate name to the user. | 1. A computer-implemented method comprising: retrieving, by a processor, a candidate name from memory; identifying, by the processor, a cultural classification that corresponds to the candidate name; retrieving, by the processor, one or more culture-specific regularization rules from the memory corresponding to the cultural classification; applying, by the processor, one or more of the culture-specific regularization rules to the candidate name, resulting in a regularized candidate name, wherein the applying further comprises: determining that a first regularization rule included in the one or more culture-specific regularization rules applies to the candidate name; generating a first iteration regularized candidate name by applying the first regularized rule to the candidate name; determining that a second regularization rule included in the one or more culture-specific regularization rules applies to the candidate name; and generating the regularized candidate name by applying the second regularized rule to the first iteration regularized candidate name; storing the regularized candidate name in the memory; comparing, by the processor, the regularized candidate name with a regularized query name; determining, by the processor, that the comparison meets a regularization matching threshold, which indicates a potential match between the regularized candidate name and the regularized query name; and in response to determining that comparison meets the regularization matching threshold, providing the candidate name to the user. 4. The method of claim 1 wherein each of the culture-specific regularization rules are a context-sensitive rule or a context-free rule, each of the applied culture specific regularization rules used to convert one or more letters included in the candidate name to one or more different letters. | 0.798354 |
8,959,110 | 13 | 14 | 13. A solid state storage device, an optical disk or a magnetic storage device, having computer readable instructions stored thereupon that, when executed by a computer, cause the computer to: retrieve metadata from a local database associated with a query; identify a query tree data structure for the query using the metadata wherein the query tree data structure indicates a data source associated with the at least one sub-query, and wherein the query tree data structure comprises one or more nodes representing one or more sub-queries required to be performed; identify a location type associated with the data source, wherein the location type indicates either a local source type or an external source type; initiate a first sub-query to a local database for local data by requesting the local data from a query process layer in the local database in response to identify-ing the location type is the local source type; initiate a second sub-query to an external database for external data by requesting the external data from an internal query process layer module accessing the external database in response to identifying the location type is the external source type; receive either the local data from the local database or the external data from the external database; analyze the query tree data structure to generate query response data; and provide the query response data based on processing the local data or the external data in response to the query. | 13. A solid state storage device, an optical disk or a magnetic storage device, having computer readable instructions stored thereupon that, when executed by a computer, cause the computer to: retrieve metadata from a local database associated with a query; identify a query tree data structure for the query using the metadata wherein the query tree data structure indicates a data source associated with the at least one sub-query, and wherein the query tree data structure comprises one or more nodes representing one or more sub-queries required to be performed; identify a location type associated with the data source, wherein the location type indicates either a local source type or an external source type; initiate a first sub-query to a local database for local data by requesting the local data from a query process layer in the local database in response to identify-ing the location type is the local source type; initiate a second sub-query to an external database for external data by requesting the external data from an internal query process layer module accessing the external database in response to identifying the location type is the external source type; receive either the local data from the local database or the external data from the external database; analyze the query tree data structure to generate query response data; and provide the query response data based on processing the local data or the external data in response to the query. 14. The solid state device, optical disk, or magnetic storage device of claim 13 , wherein the query tree data structure comprises a plurality of data sources wherein a first data source has a corresponding data source location type indicating the local source type and a second data source has a corresponding data location type indicating the external source type. | 0.501362 |
10,031,491 | 11 | 12 | 11. The non-transitory computer-readable medium of claim 9 , where the one or more instructions, that cause the one or more processors to determine whether the object is within the zone of interest, cause the one or more processors to: determine that the object is outside the zone of interest based on sampling the GPS sensor; and where the one or more instructions, that cause the one or more processors to control the plurality of sensors, cause the one or more processors to: reduce a sampling frequency of the GPS sensor based on the object being outside the zone of interest. | 11. The non-transitory computer-readable medium of claim 9 , where the one or more instructions, that cause the one or more processors to determine whether the object is within the zone of interest, cause the one or more processors to: determine that the object is outside the zone of interest based on sampling the GPS sensor; and where the one or more instructions, that cause the one or more processors to control the plurality of sensors, cause the one or more processors to: reduce a sampling frequency of the GPS sensor based on the object being outside the zone of interest. 12. The non-transitory computer-readable medium of claim 11 , where the one or more instructions, that cause the one or more processors to control the plurality of sensors, cause the one or more processors to: turn off the temperature sensor, the OBD sensor, and the light sensor based on the object being outside of the zone of interest. | 0.544474 |
7,523,108 | 1 | 6 | 1. A method of providing records to a user, comprising: identifying a set of different languages of terms submitted in a query by the user; using the set of languages to automatically discern a set of suspected geographical origins from which the user may have corrected to a server; finding a best combination of a language and a suspected geographical origin from the sets of languages and origins; and using the best combination to guide retrieval of search results responsive to the query and to rank the search results. | 1. A method of providing records to a user, comprising: identifying a set of different languages of terms submitted in a query by the user; using the set of languages to automatically discern a set of suspected geographical origins from which the user may have corrected to a server; finding a best combination of a language and a suspected geographical origin from the sets of languages and origins; and using the best combination to guide retrieval of search results responsive to the query and to rank the search results. 6. The method of claim 1 , wherein the set of suspected geographical origins includes a geographically smallest member, and one of the members is the geographically smallest member. | 0.502747 |
8,150,835 | 3 | 4 | 3. The method of claim 2 , further comprising: selectively combining signatures into supersignatures by multiplying irreducible polynomials corresponding to the signatures, the supersignatures corresponding to supersignature fragments; causing at least in part storage of the supersignature fragments in the signature domain; for each of the queries, searching for a supersignature fragment correspond to each query; and responding to each query with the searched signature fragments, the supersignature fragments, or a combination thereof. | 3. The method of claim 2 , further comprising: selectively combining signatures into supersignatures by multiplying irreducible polynomials corresponding to the signatures, the supersignatures corresponding to supersignature fragments; causing at least in part storage of the supersignature fragments in the signature domain; for each of the queries, searching for a supersignature fragment correspond to each query; and responding to each query with the searched signature fragments, the supersignature fragments, or a combination thereof. 4. The method of claim 3 , further comprising: comparing a difference between a target information fragment and a signature or supersignature fragment by comparing polynomials corresponding to the fragments or by comparing values of the corresponding polynomials. | 0.79893 |
9,898,187 | 1 | 2 | 1. A non-transitory computer-readable media comprising instructions stored thereon, the instructions, when executed by one or more processors, cause the processors to perform operations comprising: receiving a handwriting input from a user, the handwriting input comprising a plurality of handwritten strokes provided in a touch-sensitive surface coupled to the device; rendering, in real-time, the plurality of handwritten strokes in a handwriting input area of a handwriting input interface; receiving one of a pinch gesture input and an expand gesture input over the plurality of handwritten strokes; upon identifying two adjacent recognition units from the plurality of handwritten strokes and upon the one of a pinch gesture input and an expand gesture input being a pinch gesture input: prior to receiving the pinch gesture input, displaying, in a candidate display area, a first initial recognition result comprising respective initial output characters recognized from the two adjacent recognition units; subsequent to receiving the pinch gesture input, generating a first subsequent recognition result based on the plurality of handwritten strokes by treating the plurality of handwritten strokes as a single recognition unit; replacing the first initial recognition result with the first subsequent recognition result in the candidate display area; and in response to the pinch gesture input, re-rendering the plurality of handwritten strokes to reduce a distance between portions of the handwritten strokes corresponding to the two adjacent recognition units in the handwriting input area; upon identifying a singular recognition unit from the plurality of handwritten strokes and upon the one of a pinch gesture input and an expand gesture input being an expand gesture input: prior to receiving the expand gesture input, displaying, in the candidate display area, a second initial recognition result comprising an initial output character recognized from the singular recognition unit; subsequent to receiving the expand gesture input, generating a second subsequent recognition result based on the plurality of handwritten strokes by treating the plurality of handwritten strokes as two separate recognition units pulled apart by the expand gesture input; replacing the second initial recognition result with the second recognition result in the candidate display area, and in response to the expand gesture input, re-rendering the plurality of handwritten strokes to increase a distance between portions of the handwritten strokes corresponding to the singular recognition unit in the handwriting input area. | 1. A non-transitory computer-readable media comprising instructions stored thereon, the instructions, when executed by one or more processors, cause the processors to perform operations comprising: receiving a handwriting input from a user, the handwriting input comprising a plurality of handwritten strokes provided in a touch-sensitive surface coupled to the device; rendering, in real-time, the plurality of handwritten strokes in a handwriting input area of a handwriting input interface; receiving one of a pinch gesture input and an expand gesture input over the plurality of handwritten strokes; upon identifying two adjacent recognition units from the plurality of handwritten strokes and upon the one of a pinch gesture input and an expand gesture input being a pinch gesture input: prior to receiving the pinch gesture input, displaying, in a candidate display area, a first initial recognition result comprising respective initial output characters recognized from the two adjacent recognition units; subsequent to receiving the pinch gesture input, generating a first subsequent recognition result based on the plurality of handwritten strokes by treating the plurality of handwritten strokes as a single recognition unit; replacing the first initial recognition result with the first subsequent recognition result in the candidate display area; and in response to the pinch gesture input, re-rendering the plurality of handwritten strokes to reduce a distance between portions of the handwritten strokes corresponding to the two adjacent recognition units in the handwriting input area; upon identifying a singular recognition unit from the plurality of handwritten strokes and upon the one of a pinch gesture input and an expand gesture input being an expand gesture input: prior to receiving the expand gesture input, displaying, in the candidate display area, a second initial recognition result comprising an initial output character recognized from the singular recognition unit; subsequent to receiving the expand gesture input, generating a second subsequent recognition result based on the plurality of handwritten strokes by treating the plurality of handwritten strokes as two separate recognition units pulled apart by the expand gesture input; replacing the second initial recognition result with the second recognition result in the candidate display area, and in response to the expand gesture input, re-rendering the plurality of handwritten strokes to increase a distance between portions of the handwritten strokes corresponding to the singular recognition unit in the handwriting input area. 2. The media of claim 1 , wherein the pinch gesture input comprises two contacts on the touch-sensitive surface that converge toward each other in an area occupied by the plurality of handwritten strokes. | 0.540541 |
9,507,519 | 9 | 10 | 9. A method according to claim 8 , further comprising: detecting that the user has selected one of the added navigation control buttons in the virtual keyboard; in response, automatically moving focus to a different input object; automatically determining whether the different input object is being presented in the display; and in response to determining that the different input object is not being presented in the display, automatically scrolling the electronic form in the display, to cause the different input object to be presented in the display. | 9. A method according to claim 8 , further comprising: detecting that the user has selected one of the added navigation control buttons in the virtual keyboard; in response, automatically moving focus to a different input object; automatically determining whether the different input object is being presented in the display; and in response to determining that the different input object is not being presented in the display, automatically scrolling the electronic form in the display, to cause the different input object to be presented in the display. 10. A method according to claim 9 , wherein: the two or more input objects comprise a first textual input field and a second textual input field; and the operation of automatically moving focus to a different input object comprises automatically moving focus from the first textual input field to the second textual input field. | 0.911159 |
7,596,612 | 2 | 10 | 2. The carrier virtual network interface of claim 1 , further comprising: a second dedicated network interpretation layer that interfaces with the network management system of a second dedicating telecommunication network, the second dedicated network interpretation layer converting network information regarding layer one resources dedication to the carrier virtual network from the second dedicating telecommunication network to messages for transmission to the network management system of the accessing telecommunication network to network instructions for use by the network management system of the second dedicating telecommunication network. | 2. The carrier virtual network interface of claim 1 , further comprising: a second dedicated network interpretation layer that interfaces with the network management system of a second dedicating telecommunication network, the second dedicated network interpretation layer converting network information regarding layer one resources dedication to the carrier virtual network from the second dedicating telecommunication network to messages for transmission to the network management system of the accessing telecommunication network to network instructions for use by the network management system of the second dedicating telecommunication network. 10. The carrier virtual network interface of claim 2 , wherein the communication layer transmits messages using a JMS protocol. | 0.979194 |
9,530,415 | 1 | 9 | 1. A method comprising: receiving, via touch provided on a touch screen of a device, an indication associated with a specific field displayed in a user interface on the touch screen, the indication signaling that speech, which is associated with the specific field, will follow; receiving the speech via the device; generating speech data based on the speech; generating, via the device, a request for speech recognition, wherein the request comprises: (1) an application identifier identifying a speech recognizer; (2) a current location of the device; and (3) a grammar parameter associated with a home location of a speaker of the speech; transmitting the speech data and the request to a network node for speech recognition using the speech recognizer; receiving, at the device, a transcription of the speech from the speech recognizer; and inserting the transcription into the specific field. | 1. A method comprising: receiving, via touch provided on a touch screen of a device, an indication associated with a specific field displayed in a user interface on the touch screen, the indication signaling that speech, which is associated with the specific field, will follow; receiving the speech via the device; generating speech data based on the speech; generating, via the device, a request for speech recognition, wherein the request comprises: (1) an application identifier identifying a speech recognizer; (2) a current location of the device; and (3) a grammar parameter associated with a home location of a speaker of the speech; transmitting the speech data and the request to a network node for speech recognition using the speech recognizer; receiving, at the device, a transcription of the speech from the speech recognizer; and inserting the transcription into the specific field. 9. The method of claim 1 , wherein the grammar parameter controls a compilation of a plurality of grammars. | 0.894685 |
9,946,790 | 1 | 5 | 1. A non-transitory computer-readable medium embodying a program executable in at least one computing device, wherein, when executed, the program causes the at least one computing device to at least: generate a user interface to facilitate creation of a plurality of user-created item lists via a plurality of client devices; receive the plurality of user-created item lists from the plurality of client devices via the user interface rendered on the plurality of client devices; maintain the plurality of user-created item lists in an item list registry, individual user-created item lists of the plurality of user-created item lists including a plurality of items available for purchase, lease, or download via an electronic commerce system, and the individual user-created item lists being identified by a respective item list title that includes a title term; for the individual user-created item lists, compare the title term with a plurality of predefined keywords; for the individual user-created item lists, assign a keyword tag associated with a respective predefined keyword of the plurality of predefined keywords to individual items of the plurality of items included in a respective user-created item list of the plurality of user-created item lists in response to the respective predefined keyword matching the title term; create an item category associated with the respective predefined keyword; and populate the item category with at least one of the plurality of items when a number of keyword tags corresponding to the respective predefined keyword and assigned to the at least one of the plurality of items reaches a predefined category threshold. | 1. A non-transitory computer-readable medium embodying a program executable in at least one computing device, wherein, when executed, the program causes the at least one computing device to at least: generate a user interface to facilitate creation of a plurality of user-created item lists via a plurality of client devices; receive the plurality of user-created item lists from the plurality of client devices via the user interface rendered on the plurality of client devices; maintain the plurality of user-created item lists in an item list registry, individual user-created item lists of the plurality of user-created item lists including a plurality of items available for purchase, lease, or download via an electronic commerce system, and the individual user-created item lists being identified by a respective item list title that includes a title term; for the individual user-created item lists, compare the title term with a plurality of predefined keywords; for the individual user-created item lists, assign a keyword tag associated with a respective predefined keyword of the plurality of predefined keywords to individual items of the plurality of items included in a respective user-created item list of the plurality of user-created item lists in response to the respective predefined keyword matching the title term; create an item category associated with the respective predefined keyword; and populate the item category with at least one of the plurality of items when a number of keyword tags corresponding to the respective predefined keyword and assigned to the at least one of the plurality of items reaches a predefined category threshold. 5. The non-transitory computer-readable medium of claim 1 , wherein a first item of the plurality of items in a first item list of the plurality of user-created item lists is the same as a second item of the plurality of items in a second item list of the plurality of user-created item lists. | 0.739787 |
10,089,386 | 10 | 13 | 10. A device for providing an answer keyword to a user terminal, the device comprising: an information obtainer configured to obtain at least one of a search word history comprising a first inquiry search word of a certain domain pre-received from first user terminals, and webpage information selected by the first user terminals from a search result according to the search word history; an extractor configured to extract answer candidate keywords regarding the first inquiry search word from at least one of the search word history and the webpage information based on keyword lists of the certain domain; a relation value calculator configured to calculate a relation value between the first inquiry search word and each of the extracted answer candidate keywords; a receiver configured to receive the first inquiry search word from a second user terminal; and a transmitter configured to transmit answer keywords for the first inquiry search word, which are selected from the answer candidate keywords based on the relation value, to the second user terminal. | 10. A device for providing an answer keyword to a user terminal, the device comprising: an information obtainer configured to obtain at least one of a search word history comprising a first inquiry search word of a certain domain pre-received from first user terminals, and webpage information selected by the first user terminals from a search result according to the search word history; an extractor configured to extract answer candidate keywords regarding the first inquiry search word from at least one of the search word history and the webpage information based on keyword lists of the certain domain; a relation value calculator configured to calculate a relation value between the first inquiry search word and each of the extracted answer candidate keywords; a receiver configured to receive the first inquiry search word from a second user terminal; and a transmitter configured to transmit answer keywords for the first inquiry search word, which are selected from the answer candidate keywords based on the relation value, to the second user terminal. 13. The device of claim 10 , wherein the relation value calculator calculates the relation value based on a frequency of the answer candidate keywords being included in at least one of the search word history and the webpage information. | 0.880785 |
8,555,263 | 19 | 26 | 19. A non-transitory computer readable medium having stored thereon computer executable instructions that, when executed by a processor, cause a computer system to perform computer application code automation, by performing the steps of: displaying a first electronic user interface screen presented by a code automation computer server for accepting user input for generating a Structured Query Language (SQL) query, the user input comprising a plurality of SQL tokens; receiving, via an electronic user interface presented by the code automation computer server, a first partial portion of the user input for generating the SQL query; executing, via a processor associated with the code automation computer server, computer executable instructions for: performing a check to identify a possible error or a query performance problem based on the first partial portion of the user input, displaying a warning screen when the first partial portion of the user input is associated with a possible error or a query performance problem, and displaying a second electronic user interface screen for accepting a second partial portion of the user input comprising the plurality of SQL tokens, wherein the second electronic user interface screen is displayed after displaying the warning screen; and automatically incorporating the generated SQL query into the computer application code. | 19. A non-transitory computer readable medium having stored thereon computer executable instructions that, when executed by a processor, cause a computer system to perform computer application code automation, by performing the steps of: displaying a first electronic user interface screen presented by a code automation computer server for accepting user input for generating a Structured Query Language (SQL) query, the user input comprising a plurality of SQL tokens; receiving, via an electronic user interface presented by the code automation computer server, a first partial portion of the user input for generating the SQL query; executing, via a processor associated with the code automation computer server, computer executable instructions for: performing a check to identify a possible error or a query performance problem based on the first partial portion of the user input, displaying a warning screen when the first partial portion of the user input is associated with a possible error or a query performance problem, and displaying a second electronic user interface screen for accepting a second partial portion of the user input comprising the plurality of SQL tokens, wherein the second electronic user interface screen is displayed after displaying the warning screen; and automatically incorporating the generated SQL query into the computer application code. 26. The non-transitory computer readable medium of claim 19 wherein the instructions further comprise receiving a user selection of a computer programming language for generating the computer application code into which to incorporate the generated SQL query. | 0.595313 |
9,122,660 | 8 | 9 | 8. A method comprising: in at least one memory device, instantiating a first packaged file presentation shell of a page description language document within a page description language document application executing on at least one processor of a computing device, the first packaged file presentation shell including standardized graphical elements including one or more packaged file presentation nodes, each standardized graphical element including properties; applying a presentation overlay to the instantiated first packaged file presentation shell, the presentation overlay including at least one standardized graphical element, which, when applied to the first packaged file presentation shell, overrides respective standardized graphical element properties including respective packaged file presentation nodes that each represent a packaged file within the page description language document; and presenting, via the page description language document application, a view of at least a portion of the page description language document according to (1) metadata associating each packaged file with the respective packaged file presentation node of the first packaged file presentation shell, and (2) the first packaged file presentation shell as modified by the presentation overlay, wherein the presentation overlay modifies only the first packaged file presentation shell when the at least the portion of the page description language document is presented. | 8. A method comprising: in at least one memory device, instantiating a first packaged file presentation shell of a page description language document within a page description language document application executing on at least one processor of a computing device, the first packaged file presentation shell including standardized graphical elements including one or more packaged file presentation nodes, each standardized graphical element including properties; applying a presentation overlay to the instantiated first packaged file presentation shell, the presentation overlay including at least one standardized graphical element, which, when applied to the first packaged file presentation shell, overrides respective standardized graphical element properties including respective packaged file presentation nodes that each represent a packaged file within the page description language document; and presenting, via the page description language document application, a view of at least a portion of the page description language document according to (1) metadata associating each packaged file with the respective packaged file presentation node of the first packaged file presentation shell, and (2) the first packaged file presentation shell as modified by the presentation overlay, wherein the presentation overlay modifies only the first packaged file presentation shell when the at least the portion of the page description language document is presented. 9. The method of claim 8 , further comprising: receiving selection input into a user interface of the page description language document application selecting a second packaged file presentation shell, the second packaged file presentation shell including standardized graphical elements including the one or more packaged file presentation nodes, the second packaged file presentation shell providing a layout of presentation nodes different from a layout of presentation nodes within the first packaged file presentation shell; replacing the first packaged file presentation shell with the second packaged file presentation shell and applying the presentation overlay to the second packaged file presentation shell. | 0.623424 |
9,152,672 | 8 | 11 | 8. The method of claim 1 wherein the time series database comprises: a plurality of data nodes, each consisting of one of the plurality of computing devices, on which specific data blocks are stored; and a control node configured to choose which data node will store each data block and to record which data blocks are stored on each of the plurality of data nodes. | 8. The method of claim 1 wherein the time series database comprises: a plurality of data nodes, each consisting of one of the plurality of computing devices, on which specific data blocks are stored; and a control node configured to choose which data node will store each data block and to record which data blocks are stored on each of the plurality of data nodes. 11. The method of claim 8 , wherein control node is configured to assign storage of each data block to multiple data nodes. | 0.970867 |
8,843,820 | 1 | 3 | 1. A computer system comprising: at least one processor configured to execute instructions stored on a non-transitory computer-readable medium to execute a browser application to provide a browser interface; a rendering engine configured to cause the at least one processor to execute, within an execution environment, a page script of a page to be rendered within the browser interface, the page script configured to interact with a page model to render the page within the browser interface; an extension manager configured to cause the at least one processor to execute an extension file which modifies a functionality of the browser application in association with the rendering of the page, including detecting a content script associated with the extension file which, during execution, interacts with the page model; and a content script manager configured to cause the at least one processor to evaluate the page prior to allowing execution of the content script associated with the extension file by the rendering engine, wherein the content script manager is configured to prevent the content script from accessing the execution environment when the page fails the evaluation; and wherein the content script manager is configured to allow the content script to access the execution environment when the page passes the evaluation. | 1. A computer system comprising: at least one processor configured to execute instructions stored on a non-transitory computer-readable medium to execute a browser application to provide a browser interface; a rendering engine configured to cause the at least one processor to execute, within an execution environment, a page script of a page to be rendered within the browser interface, the page script configured to interact with a page model to render the page within the browser interface; an extension manager configured to cause the at least one processor to execute an extension file which modifies a functionality of the browser application in association with the rendering of the page, including detecting a content script associated with the extension file which, during execution, interacts with the page model; and a content script manager configured to cause the at least one processor to evaluate the page prior to allowing execution of the content script associated with the extension file by the rendering engine, wherein the content script manager is configured to prevent the content script from accessing the execution environment when the page fails the evaluation; and wherein the content script manager is configured to allow the content script to access the execution environment when the page passes the evaluation. 3. The computer system of claim 1 , wherein the page analysis logic is stored at a remote server. | 0.871011 |
7,676,743 | 95 | 97 | 95. A computer-readable medium containing a program for performing a method of fitting graphical objects within a plurality of separate graphical frames in a document, each frame being associated with at least one fitting attribute with a value for fitting one or more of the graphical objects in the frame, the method comprising: automatically determining an optimized value for the at least one attribute for each of the plurality of frames individually; automatically assessing the optimized values to determine a common scaling factor for the at least one attribute based on a particular one of the optimized values; and scaling the values for the at least one attribute in each of the plurality of separate graphical frames by the common scaling factor to fit one or more of the graphical objects in each of the plurality of separate graphical frames, wherein said scaling modifies at least one graphical object within each of the plurality of separate graphical frames, wherein said scaling is performed without modifying the size of the frames in the plurality of separate graphical frames, wherein at least one of the scaled values is different than another one of the scaled values. | 95. A computer-readable medium containing a program for performing a method of fitting graphical objects within a plurality of separate graphical frames in a document, each frame being associated with at least one fitting attribute with a value for fitting one or more of the graphical objects in the frame, the method comprising: automatically determining an optimized value for the at least one attribute for each of the plurality of frames individually; automatically assessing the optimized values to determine a common scaling factor for the at least one attribute based on a particular one of the optimized values; and scaling the values for the at least one attribute in each of the plurality of separate graphical frames by the common scaling factor to fit one or more of the graphical objects in each of the plurality of separate graphical frames, wherein said scaling modifies at least one graphical object within each of the plurality of separate graphical frames, wherein said scaling is performed without modifying the size of the frames in the plurality of separate graphical frames, wherein at least one of the scaled values is different than another one of the scaled values. 97. The computer-readable medium of claim 95 , further comprising as a first step in the method associating the frames within a group. | 0.804094 |
9,965,726 | 3 | 4 | 3. A computer-implemented method for adding knowledge to a knowledge base, the knowledge base including a plurality of known entity objects and a plurality of known relation objects represented in a machine-readable format of the knowledge base, the knowledge base also including a plurality of known facts, each known fact including one of the known relation objects and at least one of the known entity objects, the method comprising: identifying known strings of text from textual information based on corresponding known facts in the knowledge base that relate each of the known strings of text to one or more of the known entity objects or one or more of the known relation objects; identifying candidate strings of text from the textual information based on correspondence of each of the candidate strings of text to at least one of a plurality of entity classes represented in the knowledge base; generating candidate entity objects in the machine-readable format of the knowledge base based on the candidate strings of text; based on natural language processing of the textual information, identifying relationships among the strings of text corresponding to the known entity objects, the known relation objects, and the candidate entity objects; generating candidate facts using the known entity objects, the known relation objects, and the candidate entity objects and based on the relationships among the known and candidate strings of text in the textual information; identifying temporal information in the textual information, the temporal information being a natural language representation of time; generating a temporal constraint from the temporal information for at least one of the candidate facts using the machine-readable format of the knowledge base, the temporal constraint representing a time or a period of time during which the corresponding candidate fact is valid; and adding at least some of the candidate facts to the knowledge base. | 3. A computer-implemented method for adding knowledge to a knowledge base, the knowledge base including a plurality of known entity objects and a plurality of known relation objects represented in a machine-readable format of the knowledge base, the knowledge base also including a plurality of known facts, each known fact including one of the known relation objects and at least one of the known entity objects, the method comprising: identifying known strings of text from textual information based on corresponding known facts in the knowledge base that relate each of the known strings of text to one or more of the known entity objects or one or more of the known relation objects; identifying candidate strings of text from the textual information based on correspondence of each of the candidate strings of text to at least one of a plurality of entity classes represented in the knowledge base; generating candidate entity objects in the machine-readable format of the knowledge base based on the candidate strings of text; based on natural language processing of the textual information, identifying relationships among the strings of text corresponding to the known entity objects, the known relation objects, and the candidate entity objects; generating candidate facts using the known entity objects, the known relation objects, and the candidate entity objects and based on the relationships among the known and candidate strings of text in the textual information; identifying temporal information in the textual information, the temporal information being a natural language representation of time; generating a temporal constraint from the temporal information for at least one of the candidate facts using the machine-readable format of the knowledge base, the temporal constraint representing a time or a period of time during which the corresponding candidate fact is valid; and adding at least some of the candidate facts to the knowledge base. 4. The method of claim 3 , wherein generating the candidate facts includes filtering pre-candidate facts to remove each pre-candidate fact for which an associated known entity object or an associated candidate entity object is ontologically incompatible with a corresponding one of the known relation objects. | 0.880603 |
8,571,865 | 1 | 10 | 1. A method performed by data processing apparatus, the method comprising: receiving information relating to (i) a communication device that has received an utterance and (ii) a voice associated with the received utterance, the received information relating to the communication device including a geographic location of the communication device; comparing the received voice information with a plurality of voice signatures in a comparison group, the comparison group corresponding to a plurality of different individuals location of the communication device, wherein the comparison group includes at least one voice signature for each different identified individual; attempting to identify the voice associated with the utterance as matching the voice signature corresponding to one of the individuals in the comparison group; if the attempt to identify the voice associated with the utterance is unsuccessful, iteratively repeating the attempting to identify the voice associated with the utterance using a modified comparison group, the modified comparison group corresponding to a different geographic region than was used in a previous attempt to identify the voice associated with the utterance, the iterative repeating of the attempting to identify the voice associated with the utterance continuing until the voice associated with the utterance is successfully identified; and providing the communication device with access to one or more resources associated with the individual whose voice signature matched the voice associated with the utterance. | 1. A method performed by data processing apparatus, the method comprising: receiving information relating to (i) a communication device that has received an utterance and (ii) a voice associated with the received utterance, the received information relating to the communication device including a geographic location of the communication device; comparing the received voice information with a plurality of voice signatures in a comparison group, the comparison group corresponding to a plurality of different individuals location of the communication device, wherein the comparison group includes at least one voice signature for each different identified individual; attempting to identify the voice associated with the utterance as matching the voice signature corresponding to one of the individuals in the comparison group; if the attempt to identify the voice associated with the utterance is unsuccessful, iteratively repeating the attempting to identify the voice associated with the utterance using a modified comparison group, the modified comparison group corresponding to a different geographic region than was used in a previous attempt to identify the voice associated with the utterance, the iterative repeating of the attempting to identify the voice associated with the utterance continuing until the voice associated with the utterance is successfully identified; and providing the communication device with access to one or more resources associated with the individual whose voice signature matched the voice associated with the utterance. 10. The method of claim 1 wherein the different geographic region is adjacent to the geographic region encompassing the geographic location of the communication device. | 0.845018 |
7,529,352 | 2 | 4 | 2. A method in accordance with claim 1 further comprising: determining a language associated with a jurisdiction wherein the plurality of dialed digits comprises an emergency services number, and wherein said step of routing said call comprises routing said call to an emergency services operator position wherein the determined language is understood. | 2. A method in accordance with claim 1 further comprising: determining a language associated with a jurisdiction wherein the plurality of dialed digits comprises an emergency services number, and wherein said step of routing said call comprises routing said call to an emergency services operator position wherein the determined language is understood. 4. A method in accordance with claim 2 wherein the step of determining a language comprises routing said call to a translation agency and determining said language by a translator at said translation agency. | 0.838028 |
8,135,757 | 19 | 25 | 19. A system, comprising: a memory; a model generator executed in the memory to: process a program coded in a first programming language having data structures, wherein at least one of the data structures includes a reference to reusable code; and generate a model file providing a source name identifying the reusable code, elements and attributes in a second programming language for the reference to the reusable code in the processed program; a schema generator executed in the memory to: process the data structure coded in the first programming language to generate a data structure schema in a second programming language describing elements and attributes of the data structure coded in the first programming language; determine instances of the source name indicated in the model file in the data structure; and generate, for the determined instances of the source name in the data structure, a reference in the data structure schema to the reusable code identified by the source name, wherein the reference generated in the data structure schema includes the element and attribute information indicated in the model file. | 19. A system, comprising: a memory; a model generator executed in the memory to: process a program coded in a first programming language having data structures, wherein at least one of the data structures includes a reference to reusable code; and generate a model file providing a source name identifying the reusable code, elements and attributes in a second programming language for the reference to the reusable code in the processed program; a schema generator executed in the memory to: process the data structure coded in the first programming language to generate a data structure schema in a second programming language describing elements and attributes of the data structure coded in the first programming language; determine instances of the source name indicated in the model file in the data structure; and generate, for the determined instances of the source name in the data structure, a reference in the data structure schema to the reusable code identified by the source name, wherein the reference generated in the data structure schema includes the element and attribute information indicated in the model file. 25. The system of claim 19 , wherein the schema generator is further executed to: process a script file including references to at least one model file to invoke the generator, wherein the schema generator determines instances of the source name in the program for each model file referenced in the script file, and wherein the generator generates for each determined instance of each source name the reference in the program schema to the reusable code identified by the source name. | 0.640416 |
8,239,366 | 34 | 45 | 34. At least one tangible computer-readable medium encoded with instructions that, when executed by at least one hardware computer processor, perform a method of performing a search for content on the Internet, the method comprising: receiving voice input provided from a user; and generating at least one text search query for a plurality of Internet-accessible search engines that search for content on the Internet, wherein the at least one text search query is generated, at least in part, by performing speech recognition on the voice input; wherein the at least one text search query comprises at least two text search queries; wherein the act of generating further comprises: generating a first of the at least two text search queries, at least in part by performing speech recognition on the voice input using a first language model associated with a first of the plurality of search engines; and generating a second of the at least two text search queries, at least in part by performing speech recognition on the voice input using a second language model, different from the first language model, associated with a second of the plurality of search engines; wherein the first language model is one that was trained on content indexed by the first of the plurality of search engines; wherein the first of the plurality of search engines is a site-specific search engine; and wherein the second of the plurality of search engines is a general search engine. | 34. At least one tangible computer-readable medium encoded with instructions that, when executed by at least one hardware computer processor, perform a method of performing a search for content on the Internet, the method comprising: receiving voice input provided from a user; and generating at least one text search query for a plurality of Internet-accessible search engines that search for content on the Internet, wherein the at least one text search query is generated, at least in part, by performing speech recognition on the voice input; wherein the at least one text search query comprises at least two text search queries; wherein the act of generating further comprises: generating a first of the at least two text search queries, at least in part by performing speech recognition on the voice input using a first language model associated with a first of the plurality of search engines; and generating a second of the at least two text search queries, at least in part by performing speech recognition on the voice input using a second language model, different from the first language model, associated with a second of the plurality of search engines; wherein the first language model is one that was trained on content indexed by the first of the plurality of search engines; wherein the first of the plurality of search engines is a site-specific search engine; and wherein the second of the plurality of search engines is a general search engine. 45. The at least one tangible computer readable medium of claim 34 , wherein generating the first of the at least two search queries further comprises performing speech recognition on the voice input using a language model different from the first language model. | 0.862448 |
8,364,651 | 11 | 16 | 11. A method for identifying redundancy in databases and application systems, the method comprising: loading enterprise canonical data model meta data representative of an enterprise canonical data model into a meta data repository; loading system-specific meta data representative of the databases and application systems into the meta data repository; populating at least one individual system Create, Read, Update, Delete (CRUD) matrix from the system-specific meta data; mapping the system-specific meta data to the enterprise canonical data model meta data; populating an enterprise canonical model CRUD matrix from the at least one individual system CRUD matrix and the mapping; analyzing the enterprise canonical model CRUD matrix to identify redundancy in the databases and application systems, wherein analyzing the enterprise canonical model CRUD matrix comprises executing a clustering algorithm; and generating a report of at least one of redundancy and opportunities for consolidation in the databases and application systems after analyzing the enterprise canonical model CRUD matrix. | 11. A method for identifying redundancy in databases and application systems, the method comprising: loading enterprise canonical data model meta data representative of an enterprise canonical data model into a meta data repository; loading system-specific meta data representative of the databases and application systems into the meta data repository; populating at least one individual system Create, Read, Update, Delete (CRUD) matrix from the system-specific meta data; mapping the system-specific meta data to the enterprise canonical data model meta data; populating an enterprise canonical model CRUD matrix from the at least one individual system CRUD matrix and the mapping; analyzing the enterprise canonical model CRUD matrix to identify redundancy in the databases and application systems, wherein analyzing the enterprise canonical model CRUD matrix comprises executing a clustering algorithm; and generating a report of at least one of redundancy and opportunities for consolidation in the databases and application systems after analyzing the enterprise canonical model CRUD matrix. 16. The method of claim 11 , further comprising loading meta data descriptive of the databases and application systems into the meta data repository. | 0.905457 |
9,390,135 | 15 | 18 | 15. A method for processing a data stream of events, the method comprising: determining that multiple portions of a continuous event processing (CEP) query can be executed concurrently relative to an event in an event stream, the determining comprising: splitting the CEP query into a plurality of separate operators; determining a separate ordering constraint for each particular operator within the plurality of separate operators; determining an ordering constraint for the CEP query based at least in part on the ordering constraints that the processor determined for the plurality of separate operators; and determining, based on the ordering constraint for the CEP query, whether the multiple portions of the CEP query can be executed in a concurrent manner; and executing the multiple portions of the CEP query concurrently against a first event received via the event stream, the executing comprising: spawning multiple threads of execution that concurrently process the multiple portions of the CEP query against the first event received via the event stream in response to determining that the multiple portions of the CEP query can be executed in a concurrent manner. | 15. A method for processing a data stream of events, the method comprising: determining that multiple portions of a continuous event processing (CEP) query can be executed concurrently relative to an event in an event stream, the determining comprising: splitting the CEP query into a plurality of separate operators; determining a separate ordering constraint for each particular operator within the plurality of separate operators; determining an ordering constraint for the CEP query based at least in part on the ordering constraints that the processor determined for the plurality of separate operators; and determining, based on the ordering constraint for the CEP query, whether the multiple portions of the CEP query can be executed in a concurrent manner; and executing the multiple portions of the CEP query concurrently against a first event received via the event stream, the executing comprising: spawning multiple threads of execution that concurrently process the multiple portions of the CEP query against the first event received via the event stream in response to determining that the multiple portions of the CEP query can be executed in a concurrent manner. 18. The method of claim 15 , wherein determining the separate ordering constraint for each particular operator within the plurality of separate operators comprises determining, for a particular operator of the plurality of separate operators, the ordering constraint for the particular operator based at least in part on whether an operation type of the particular operator is a filtering operation type. | 0.906697 |
9,852,225 | 3 | 5 | 3. The method of claim 2 , comprising determining a weight for each n-gram based on a number of times links to the given web page are selected when the n-gram is included in the at least one search query that was used to present a search results page that includes the links to the given web page. | 3. The method of claim 2 , comprising determining a weight for each n-gram based on a number of times links to the given web page are selected when the n-gram is included in the at least one search query that was used to present a search results page that includes the links to the given web page. 5. The method of claim 3 , comprising filtering one or more n-grams from the search queries based on the weight associated with the n-gram being below a predetermined value. | 0.947384 |
8,938,441 | 19 | 22 | 19. A computer storage medium encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving a web page that includes text and images; selecting a first subset of the images that are not excluded content-type images, wherein an excluded content-type image is an image that is boilerplate content or that is advertising content; determining, for each of the images in the first subset, (I) whether the image has a size ratio that is within a predetermined size ratio range, (II) whether the image has greater than a redetermined quantity of pixels or (III) whether the image is located between a defined minimum altitude and a defined maximum altitude on the web page; selecting a second subset of the images in the first subset based on the determinations for the images in the first subset; determining (i) a quantity of images in the second subset, and (ii) a ratio of the area of the web page that is covered by the images of the second subset to the total area of the web page; generating a score for the web page based at least on (i) the quantity of the images in the second subset, and (ii) the ratio of the area of the web page that is covered by the images to the total area of the web page; classifying the web page as a gallery web page based on the score for the web page meeting a predefined threshold; and based on classifying the web page as a gallery web page, formatting a search result that references the web page, among a set of search results that each reference a different web page, using a search result format that is designated for web pages that are classified as gallery web pages. | 19. A computer storage medium encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving a web page that includes text and images; selecting a first subset of the images that are not excluded content-type images, wherein an excluded content-type image is an image that is boilerplate content or that is advertising content; determining, for each of the images in the first subset, (I) whether the image has a size ratio that is within a predetermined size ratio range, (II) whether the image has greater than a redetermined quantity of pixels or (III) whether the image is located between a defined minimum altitude and a defined maximum altitude on the web page; selecting a second subset of the images in the first subset based on the determinations for the images in the first subset; determining (i) a quantity of images in the second subset, and (ii) a ratio of the area of the web page that is covered by the images of the second subset to the total area of the web page; generating a score for the web page based at least on (i) the quantity of the images in the second subset, and (ii) the ratio of the area of the web page that is covered by the images to the total area of the web page; classifying the web page as a gallery web page based on the score for the web page meeting a predefined threshold; and based on classifying the web page as a gallery web page, formatting a search result that references the web page, among a set of search results that each reference a different web page, using a search result format that is designated for web pages that are classified as gallery web pages. 22. The medium of claim 19 , wherein generating a score for the web page comprises generating a score for the web page based on evaluating the quantity of images in the second subset against a minimum value. | 0.675549 |
7,627,551 | 18 | 20 | 18. The system of claim 13 wherein the searching the database of archive records includes searching free form text for the specified symptom attribute values. | 18. The system of claim 13 wherein the searching the database of archive records includes searching free form text for the specified symptom attribute values. 20. The computer program product of claim 18 wherein the instructions further facilitate transmitting the temporary case records to the requestor and deleting the temporary case records after performing the transmitting. | 0.920232 |
8,812,518 | 17 | 23 | 17. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: obtaining first search results that were generated for a search query; determining, by operation of a system, a first search results score associated with the first search results, wherein the first search results score is based on (i) a respective rank of each first search result, and (ii) a respective first popularity score associated with each first search result; revising the search query using a query revision rule; obtaining second search results that were generated for the revised search query; determining a second search results score associated with the second search results, wherein the second search results score is based on (i) a respective rank of each second search result, and (ii) a respective second popularity score associated with each second search result; determining that a difference between the first search results score and the second search results score satisfies a specified threshold; and in response to determining that a difference between the first search results score and the second search results score satisfies the specified threshold, identifying the query revision rule as a good revision rule for the search query. | 17. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: obtaining first search results that were generated for a search query; determining, by operation of a system, a first search results score associated with the first search results, wherein the first search results score is based on (i) a respective rank of each first search result, and (ii) a respective first popularity score associated with each first search result; revising the search query using a query revision rule; obtaining second search results that were generated for the revised search query; determining a second search results score associated with the second search results, wherein the second search results score is based on (i) a respective rank of each second search result, and (ii) a respective second popularity score associated with each second search result; determining that a difference between the first search results score and the second search results score satisfies a specified threshold; and in response to determining that a difference between the first search results score and the second search results score satisfies the specified threshold, identifying the query revision rule as a good revision rule for the search query. 23. The system of claim 17 , wherein determining a second search results score associated with the second search results, wherein the second search results score is based on (i) respective ranks of search results in the second search results, and (ii) respective popularity scores associated with the search results in the second search results comprises: determining, for each search result in the second search results, a respective position score, the respective position score being a product of a rank of the search result and a popularity score associated with the search result; and determining the second search results score based on a sum of the respective position scores for the second search results. | 0.5007 |
8,935,283 | 1 | 2 | 1. A method performed by a computing device for searching for analog data, comprising: receiving a digital search term; using the digital search term to search an analog writing mapping database, a facial expressions mapping database and a voice mapping database, the mapping databases respectively comprising mappings between digital text and analog writing, mappings between digital text and photos of facial expressions, and mappings between digital text and voice data; when the digital search term matches a digital text entry in one of the mapping databases, obtaining an analog search term mapped to the digital text entry, the analog search term comprising an analog writing, a photograph of a facial expression or a voice data; consistent with which one of the mapping databases that was used to obtain the analog term, searching one of an analog writing database, a facial expression database and a voice database using the analog search term to return the analog data and a data link to a location of the analog data within a file as a search result. | 1. A method performed by a computing device for searching for analog data, comprising: receiving a digital search term; using the digital search term to search an analog writing mapping database, a facial expressions mapping database and a voice mapping database, the mapping databases respectively comprising mappings between digital text and analog writing, mappings between digital text and photos of facial expressions, and mappings between digital text and voice data; when the digital search term matches a digital text entry in one of the mapping databases, obtaining an analog search term mapped to the digital text entry, the analog search term comprising an analog writing, a photograph of a facial expression or a voice data; consistent with which one of the mapping databases that was used to obtain the analog term, searching one of an analog writing database, a facial expression database and a voice database using the analog search term to return the analog data and a data link to a location of the analog data within a file as a search result. 2. The method of claim 1 wherein the analog data comprises a first time series of position data and a first time series of pressure data, and the analog search term comprises a second time series of position data and a second time series of pressure data. | 0.803846 |
9,158,772 | 1 | 5 | 1. A computer program product to reduce an amount of processing required to generate a response to a first case by a question answering system, the computer program product comprising: a non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code comprising: computer-readable program code configured to determine that a similarity score, of the first case relative to a second case, exceeds a similarity threshold; computer-readable program code configured to identify a first feature of the second case having a first relevance score exceeding a relevance threshold, wherein the relevance score indicates that the first feature is relevant in generating a correct response to the second case; computer-readable program code configured to determine, based on the similarity score and the first relevance score, that the first feature is relevant in generating a correct response to the first case; computer-readable program code configured to identify a first candidate answer for the first case that does not have the first feature; and computer-readable program code configured to refrain from analyzing the first candidate answer in generating the response to the first case, thereby reducing the amount of processing of the question answering system. | 1. A computer program product to reduce an amount of processing required to generate a response to a first case by a question answering system, the computer program product comprising: a non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code comprising: computer-readable program code configured to determine that a similarity score, of the first case relative to a second case, exceeds a similarity threshold; computer-readable program code configured to identify a first feature of the second case having a first relevance score exceeding a relevance threshold, wherein the relevance score indicates that the first feature is relevant in generating a correct response to the second case; computer-readable program code configured to determine, based on the similarity score and the first relevance score, that the first feature is relevant in generating a correct response to the first case; computer-readable program code configured to identify a first candidate answer for the first case that does not have the first feature; and computer-readable program code configured to refrain from analyzing the first candidate answer in generating the response to the first case, thereby reducing the amount of processing of the question answering system. 5. The computer program product of claim 1 , further comprising: computer-readable program code configured to, upon determining that: (i) a utilization of a resource of the question answering system does not exceed a utilization threshold, and (ii) a confidence score of a first response generated by refraining to analyze the first candidate answer exceeds a confidence threshold, generate a second response to the case, wherein the first candidate answer is analyzed in generating the second response to the case. | 0.561329 |
7,689,417 | 3 | 4 | 3. The method of claim 2 , further comprising the step of performing a confusion test using the phonetic format data, voice models and a confusion table to identify keywords in a confusion set. | 3. The method of claim 2 , further comprising the step of performing a confusion test using the phonetic format data, voice models and a confusion table to identify keywords in a confusion set. 4. The method of claim 3 , further comprising the step of editing spoken form data and mapping edited spoken form data to phonetic format data to eliminate keywords from the confusion set. | 0.929482 |
10,026,047 | 1 | 8 | 1. A system for crowd sourcing tasks, comprising: a processor; a crowd sourcing module operating on the processor, the crowd sourcing module being configured to cause the processor to perform a set of functions comprising: identifying a group of potential candidates for crowd sourcing, wherein each candidate of the group of potential candidates is identified based on the candidate being expected to accept an offer for performance of a certain type of task, the certain type of task being at least performable within a predetermined range of time; receiving a request to perform a particular task from a requester; determining if the particular task corresponds to the certain type of task; and transmitting an offer for performance of the particular task to a subgroup of the group of potential candidates in response to the particular task corresponding to the certain type of task, wherein transmitting the offer for performance of the particular task to the subgroup of the group of potential candidates comprises: determining when any candidates of the group of potential candidates are currently performing the same task or similar task to the particular task, and transmitting the offer for performance of the particular task to the subgroup of potential candidates that are currently performing the same task or the similar task; determining when any candidates of the group of potential candidates have a history of completing the same task or the similar task to the particular task faster than other candidates, and transmitting the offer for performance of the particular task to the subgroup of potential candidates that have the history of completing the same task or the similar task faster than the other candidates; determining when a particular candidate of the group of potential candidates has completed a specific task, and transmitting the offer for performance of the particular task to the particular candidate in response to the particular candidate having completed the specific task, wherein the specific task is related to the particular task being offered; and determining when any candidates of the group of potential candidates have reached a predefined quota of one of a total time in performing a group of tasks during a set time period or a number of tasks performed during the set time period, and not transmitting an offer for performance of another task to any candidates of the group of potential candidates that have reached the predefined quota until a next set time period, wherein the next set time period is configurable by a user based on a policy. | 1. A system for crowd sourcing tasks, comprising: a processor; a crowd sourcing module operating on the processor, the crowd sourcing module being configured to cause the processor to perform a set of functions comprising: identifying a group of potential candidates for crowd sourcing, wherein each candidate of the group of potential candidates is identified based on the candidate being expected to accept an offer for performance of a certain type of task, the certain type of task being at least performable within a predetermined range of time; receiving a request to perform a particular task from a requester; determining if the particular task corresponds to the certain type of task; and transmitting an offer for performance of the particular task to a subgroup of the group of potential candidates in response to the particular task corresponding to the certain type of task, wherein transmitting the offer for performance of the particular task to the subgroup of the group of potential candidates comprises: determining when any candidates of the group of potential candidates are currently performing the same task or similar task to the particular task, and transmitting the offer for performance of the particular task to the subgroup of potential candidates that are currently performing the same task or the similar task; determining when any candidates of the group of potential candidates have a history of completing the same task or the similar task to the particular task faster than other candidates, and transmitting the offer for performance of the particular task to the subgroup of potential candidates that have the history of completing the same task or the similar task faster than the other candidates; determining when a particular candidate of the group of potential candidates has completed a specific task, and transmitting the offer for performance of the particular task to the particular candidate in response to the particular candidate having completed the specific task, wherein the specific task is related to the particular task being offered; and determining when any candidates of the group of potential candidates have reached a predefined quota of one of a total time in performing a group of tasks during a set time period or a number of tasks performed during the set time period, and not transmitting an offer for performance of another task to any candidates of the group of potential candidates that have reached the predefined quota until a next set time period, wherein the next set time period is configurable by a user based on a policy. 8. The system of claim 1 , wherein the crowd sourcing module is further configured to perform the function comprising sending a message in response to the offer for performance of the particular task being accepted by one of the potential candidates of the subgroup, the message being sent to potential candidates of the subgroup that did not accept the offer for performance of the particular task. | 0.690217 |
10,146,751 | 1 | 9 | 1. A computer-implemented method for detecting hidden information in an unstructured data source, and generating a new data object representing the detected information, comprising: defining a first attribute for identifying a target term in a text content, wherein the first attribute comprises a semantic or syntactic attribute, wherein the semantic attribute includes being or representing a name of an object or a property associated with an object; defining a target term as a term that is associated with the first attribute; identifying a second attribute as an additional attribute associated with the target term, wherein the second attribute comprises a semantic or syntactic attribute; receiving a text content comprising a plurality of terms each comprising a word or a phrase; identifying a first term in the text content; identifying a second term in the context of the first term, wherein the context includes a term having a syntactic or semantic relation with the first term; identifying whether the second term refers to or represents the second attribute; if the second term is identified as referring to or representing the second attribute, then determining that the first term is the target term; generating a first data object comprising a first label associated with the first term, wherein the first label is not an element extracted from the text content, wherein the first attribute and the second attribute are not explicitly indicated in the text content; associating the first term to a search engine or a database; and when the first term is associated to a search engine, using the first term as an automatically-generated query to perform a search and determine a relevance for a search result, and displaying the search result in a user interface, wherein the first term is displayed in the user interface for an enhanced user interface functionality of highlighting a key information item that is automatically discovered from an unstructured data source and used for determining the relevance of the search result, wherein the search engine comprises an enterprise search engine, a job-seeking search engine, a recruitment search engine, a text analytics tool, and a data mining search engine; when the first term is associated to a database, compiling a data source comprising the first term, wherein the data source indicates that the first term is associated with the first label representing the first attribute that is hidden in the raw unstructured data source. | 1. A computer-implemented method for detecting hidden information in an unstructured data source, and generating a new data object representing the detected information, comprising: defining a first attribute for identifying a target term in a text content, wherein the first attribute comprises a semantic or syntactic attribute, wherein the semantic attribute includes being or representing a name of an object or a property associated with an object; defining a target term as a term that is associated with the first attribute; identifying a second attribute as an additional attribute associated with the target term, wherein the second attribute comprises a semantic or syntactic attribute; receiving a text content comprising a plurality of terms each comprising a word or a phrase; identifying a first term in the text content; identifying a second term in the context of the first term, wherein the context includes a term having a syntactic or semantic relation with the first term; identifying whether the second term refers to or represents the second attribute; if the second term is identified as referring to or representing the second attribute, then determining that the first term is the target term; generating a first data object comprising a first label associated with the first term, wherein the first label is not an element extracted from the text content, wherein the first attribute and the second attribute are not explicitly indicated in the text content; associating the first term to a search engine or a database; and when the first term is associated to a search engine, using the first term as an automatically-generated query to perform a search and determine a relevance for a search result, and displaying the search result in a user interface, wherein the first term is displayed in the user interface for an enhanced user interface functionality of highlighting a key information item that is automatically discovered from an unstructured data source and used for determining the relevance of the search result, wherein the search engine comprises an enterprise search engine, a job-seeking search engine, a recruitment search engine, a text analytics tool, and a data mining search engine; when the first term is associated to a database, compiling a data source comprising the first term, wherein the data source indicates that the first term is associated with the first label representing the first attribute that is hidden in the raw unstructured data source. 9. The computer-implemented method of claim 1 , wherein the syntactic relation between the first term and the second term includes at least a head-modifier relation represented by a subject-predicate relation, or a verb-object relation. | 0.776938 |
9,271,050 | 1 | 2 | 1. An apparatus comprising a storage medium storing a program having instructions which when executed by a processor will cause the processor to: authenticate a user login for a localized process system; present a user with a project, comprising an asset, wherein the asset is created for an original geographical territory; present a user with a display to order a localized version of the asset, wherein the localized version of the asset is a version of the asset that is customized for a second geographical territory that is different than the original geographical territory; receive user input to create subtitles for the localized version of the asset, wherein the user selects himself to enter the subtitles present the user with a display of a timed-text script that displays a time of the asset, and the dialogue of the asset receive user input of a new subtitle that the user entered on the display generate a new timed-text script with the new subtitle receive an order to create the localized version of the asset, wherein the localized version of the asset is created using the new timed-text script. | 1. An apparatus comprising a storage medium storing a program having instructions which when executed by a processor will cause the processor to: authenticate a user login for a localized process system; present a user with a project, comprising an asset, wherein the asset is created for an original geographical territory; present a user with a display to order a localized version of the asset, wherein the localized version of the asset is a version of the asset that is customized for a second geographical territory that is different than the original geographical territory; receive user input to create subtitles for the localized version of the asset, wherein the user selects himself to enter the subtitles present the user with a display of a timed-text script that displays a time of the asset, and the dialogue of the asset receive user input of a new subtitle that the user entered on the display generate a new timed-text script with the new subtitle receive an order to create the localized version of the asset, wherein the localized version of the asset is created using the new timed-text script. 2. The apparatus of claim 1 wherein the asset is an international trailer for the movie. | 0.730061 |
8,396,709 | 24 | 27 | 24. A non-transitory computer storage medium encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: accessing audio data that includes encoded speech; accessing information that indicates a docking context of a client device, the docking context being associated with the audio data; identifying a plurality of language models; identifying multiple sets of weighting values for the plurality of language models, the multiple sets of weighting values comprising at least a first set of multiple weighting values that correspond to multiple language models of the plurality of language models, the first set of multiple weighting values being associated with a first key phrase, wherein the first set of multiple weighting values is used to bias selection of a language model when a user utters the first key phrase, and a second set of multiple weighting values that correspond to multiple language models of the plurality of language models, the second set of multiple weighting values being associated with a second key phrase, the second set of multiple weighting values being different from the first set of multiple weighting values, and the second key phrase being different from the first key phrase; determining that the docking context indicates docking of the client device with a docking station of a first type; based on determining that the docking context indicates docking of the client device with the docking station of the first type, selecting, from among the multiple sets of weighting values, the first set of multiple weighting values associated with the first key phrase; selecting at least a first language model of the plurality of language models using the first set of multiple weighting values associated with the first key phrase; and performing speech recognition on the audio data using the first language model to identify a transcription for a portion of the audio data. | 24. A non-transitory computer storage medium encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: accessing audio data that includes encoded speech; accessing information that indicates a docking context of a client device, the docking context being associated with the audio data; identifying a plurality of language models; identifying multiple sets of weighting values for the plurality of language models, the multiple sets of weighting values comprising at least a first set of multiple weighting values that correspond to multiple language models of the plurality of language models, the first set of multiple weighting values being associated with a first key phrase, wherein the first set of multiple weighting values is used to bias selection of a language model when a user utters the first key phrase, and a second set of multiple weighting values that correspond to multiple language models of the plurality of language models, the second set of multiple weighting values being associated with a second key phrase, the second set of multiple weighting values being different from the first set of multiple weighting values, and the second key phrase being different from the first key phrase; determining that the docking context indicates docking of the client device with a docking station of a first type; based on determining that the docking context indicates docking of the client device with the docking station of the first type, selecting, from among the multiple sets of weighting values, the first set of multiple weighting values associated with the first key phrase; selecting at least a first language model of the plurality of language models using the first set of multiple weighting values associated with the first key phrase; and performing speech recognition on the audio data using the first language model to identify a transcription for a portion of the audio data. 27. The computer storage medium of claim 24 , wherein the speech encoded in the audio data was detected by the client device, and wherein the information that indicates a docking context indicates a type of docking station to which the client device was connected while the speech encoded in the audio data was detected by the client device. | 0.869248 |
7,920,682 | 19 | 21 | 19. A system for providing a telephony voice interface to an end user, the system comprising: a memory storing: an interface module configured to enable the end user to specify personality information comprising one or more individual character traits without regard to user interaction history, a selecting module configured to select a consistent personality for a virtual host based on the specified personality information, wherein the consistent personality defines adjustments to one or more user interaction features of the virtual host, a storing module configured to store the individual character traits in a profile having preference information within the memory, and a generating module configured to generate the virtual host with the consistent personality in accordance with the individual character traits, in addition to behavior of the virtual host modified by user interaction history; and a processor configured to process the enabling, storing, and generating modules. | 19. A system for providing a telephony voice interface to an end user, the system comprising: a memory storing: an interface module configured to enable the end user to specify personality information comprising one or more individual character traits without regard to user interaction history, a selecting module configured to select a consistent personality for a virtual host based on the specified personality information, wherein the consistent personality defines adjustments to one or more user interaction features of the virtual host, a storing module configured to store the individual character traits in a profile having preference information within the memory, and a generating module configured to generate the virtual host with the consistent personality in accordance with the individual character traits, in addition to behavior of the virtual host modified by user interaction history; and a processor configured to process the enabling, storing, and generating modules. 21. The system of claim 19 , wherein the individual character traits comprise information defining a speed of voice for the virtual host. | 0.879401 |
8,121,845 | 1 | 5 | 1. A method of providing access control for a user device comprising: processing input audio data using an access control module having a speech recogniser to produce index data representative of the likelihood of matches of portions of the input audio data to a set of predefined phones; searching the index data for a match to any one of a set of phone sequences corresponding to predefined threat words or phrases in order to detect any of the set of pre-defined threat words or phrases within the audio data; and initiating a threat detection response by the access control module on detection of one or more said threat words or phrases, by varying the ability of a user to access the audio data via the user device, wherein the set of pre-defined threat words or phrases are categorised into one or more categories according to a level of perceived offensiveness for the threat words or phrases, wherein a level of threat is determined for the threat words or phrases detected in the input audio data based on the category in which the threat word or phrase is categorised, wherein the threat detection response by the access control module, and therefore the ability of the user to access the audio data via the user device, is based on the determined level of threat, said method steps implemented on a data processor. | 1. A method of providing access control for a user device comprising: processing input audio data using an access control module having a speech recogniser to produce index data representative of the likelihood of matches of portions of the input audio data to a set of predefined phones; searching the index data for a match to any one of a set of phone sequences corresponding to predefined threat words or phrases in order to detect any of the set of pre-defined threat words or phrases within the audio data; and initiating a threat detection response by the access control module on detection of one or more said threat words or phrases, by varying the ability of a user to access the audio data via the user device, wherein the set of pre-defined threat words or phrases are categorised into one or more categories according to a level of perceived offensiveness for the threat words or phrases, wherein a level of threat is determined for the threat words or phrases detected in the input audio data based on the category in which the threat word or phrase is categorised, wherein the threat detection response by the access control module, and therefore the ability of the user to access the audio data via the user device, is based on the determined level of threat, said method steps implemented on a data processor. 5. A method as claimed in claim 1 wherein the set of pre-defined threat words or phrases comprise at least one of profane or obscene language, blasphemous language or language indicating violence or unacceptable attitudes. | 0.751121 |
8,515,962 | 11 | 13 | 11. A system comprising: one or more programmable processors; and a computer-readable storage device storing instructions that, when executed by the one or more programmable processors, perform operations comprising: identifying, using a computer system, a plurality of structured electronic documents, each of which defines an object to be imported into a database; processing, using the computer system, the plurality of structured electronic documents in a first phase that comprises, for each of the structured electronic documents: analyzing the structured electronic document to obtain an identifier associated with the object to be imported, the identifier being incompatible for use as an index in the database; generating a converted identifier from the identifier associated with the object to be imported, the converted identifier being compatible for use as an index in the database; analyzing the structured electronic document to determine whether the object to be imported is related to one or more other objects defined by the plurality of structured electronic documents that have yet to be stored in the database, and if so, generating contextual information that defines a relationship between the object to be imported and the one or more other objects, the contextual information including the converted identifier and a relational identifier for each of the one or more other objects; and storing the object defined by the structured electronic document in the database; and processing, using the computer system, the contextual information in a second phase that comprises at least establishing relationships in the database between related objects using the contextual information; wherein the processing of the first phase either: i) precedes the processing of the second phase; or ii) occurs in parallel with the processing of the second phase. | 11. A system comprising: one or more programmable processors; and a computer-readable storage device storing instructions that, when executed by the one or more programmable processors, perform operations comprising: identifying, using a computer system, a plurality of structured electronic documents, each of which defines an object to be imported into a database; processing, using the computer system, the plurality of structured electronic documents in a first phase that comprises, for each of the structured electronic documents: analyzing the structured electronic document to obtain an identifier associated with the object to be imported, the identifier being incompatible for use as an index in the database; generating a converted identifier from the identifier associated with the object to be imported, the converted identifier being compatible for use as an index in the database; analyzing the structured electronic document to determine whether the object to be imported is related to one or more other objects defined by the plurality of structured electronic documents that have yet to be stored in the database, and if so, generating contextual information that defines a relationship between the object to be imported and the one or more other objects, the contextual information including the converted identifier and a relational identifier for each of the one or more other objects; and storing the object defined by the structured electronic document in the database; and processing, using the computer system, the contextual information in a second phase that comprises at least establishing relationships in the database between related objects using the contextual information; wherein the processing of the first phase either: i) precedes the processing of the second phase; or ii) occurs in parallel with the processing of the second phase. 13. The system of claim 11 , wherein generating the converted identifier comprises hashing the identifier associated with the object to be imported. | 0.777778 |
9,665,564 | 11 | 15 | 11. The computer program product of claim 10 , wherein the computer readable program further causes the data processing system to generate a logical parse of the first parse representation of the natural language content at least by: inputting the first parse into a logical parser implemented in the data processing system; and normalizing, by the logical parser, logical triggers in the first parse indicative of a logical relationship to a predefined set of logical operators to thereby generate the logical parse. | 11. The computer program product of claim 10 , wherein the computer readable program further causes the data processing system to generate a logical parse of the first parse representation of the natural language content at least by: inputting the first parse into a logical parser implemented in the data processing system; and normalizing, by the logical parser, logical triggers in the first parse indicative of a logical relationship to a predefined set of logical operators to thereby generate the logical parse. 15. The computer program product of claim 11 , wherein the computer readable program further causes the data processing system to normalize logical triggers in the first part at least by identifying terms or phrases within the first parse that match one or more elements of a set of logical triggers, and wherein the set of logical triggers comprises at least one of negation identifiers, noun relations, or modifiers that are indicative of a logical relationship. | 0.856613 |
9,087,396 | 1 | 3 | 1. A method comprising: determining, with a processing unit that has received a digital image, a brightness of an area of the digital image, the area being designated as an area upon which text is to be added to the digital image; selecting, with the processing unit, a color of the text based upon the determined brightness; adding, with the processing unit, a semi-transparent mask layer to the digital image, wherein a colored portion of the semi-transparent mask layer follows an outline of individual characters of the text being added to the digital image; and adding the text, to be outlined by the coloration of the semi-transparent mask layer, to the digital image with the processing unit. | 1. A method comprising: determining, with a processing unit that has received a digital image, a brightness of an area of the digital image, the area being designated as an area upon which text is to be added to the digital image; selecting, with the processing unit, a color of the text based upon the determined brightness; adding, with the processing unit, a semi-transparent mask layer to the digital image, wherein a colored portion of the semi-transparent mask layer follows an outline of individual characters of the text being added to the digital image; and adding the text, to be outlined by the coloration of the semi-transparent mask layer, to the digital image with the processing unit. 3. The method of claim 1 , wherein determining the brightness of the area upon which text is to be added comprises generating a luminosity histogram for the area. | 0.843931 |
8,954,474 | 15 | 17 | 15. A method of managing data for incorporation into content, the data described in a plurality of data models changeable over time, the method comprising: describing the data models in an ontology; providing a structure for the content using a semantic-independent schema that does not model the subject matter of the data; including in the content structure one or more data-centric components transformable to relate semantically to the ontology and configured to allow semantic-independent implementation of the content structure; transforming and semantically relating the one or more data-centric components to the ontology, the transforming and semantically relating performed using a validation schema derived from the ontology; and validating the transformed components relative to the ontology to validate the content. | 15. A method of managing data for incorporation into content, the data described in a plurality of data models changeable over time, the method comprising: describing the data models in an ontology; providing a structure for the content using a semantic-independent schema that does not model the subject matter of the data; including in the content structure one or more data-centric components transformable to relate semantically to the ontology and configured to allow semantic-independent implementation of the content structure; transforming and semantically relating the one or more data-centric components to the ontology, the transforming and semantically relating performed using a validation schema derived from the ontology; and validating the transformed components relative to the ontology to validate the content. 17. The method of claim 15 , wherein the content includes a document, the method further comprising using variables to condition a data-centric markup within a document-centric markup for producing the document. | 0.502358 |
8,370,278 | 1 | 12 | 1. One or more computer-readable storage media hardware device storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method comprising: identifying a document corpus comprising one or more documents; extracting entities within text of the one or more documents; extracting relationships between entities based on the text of the one or more documents; identifying a plurality of assertions based on the entities and relationships extracted from the text of the one or more documents; and inverting the plurality of assertions to generate a plurality of questions; and generating a question graph from the plurality of questions. | 1. One or more computer-readable storage media hardware device storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method comprising: identifying a document corpus comprising one or more documents; extracting entities within text of the one or more documents; extracting relationships between entities based on the text of the one or more documents; identifying a plurality of assertions based on the entities and relationships extracted from the text of the one or more documents; and inverting the plurality of assertions to generate a plurality of questions; and generating a question graph from the plurality of questions. 12. The one or more computer-readable storage media of claim 1 , wherein the method further comprises identifying topics associated with the plurality of questions and clustering the questions around the topics. | 0.904178 |
9,998,552 | 1 | 5 | 1. A method for generating a medium on a network, comprising: processing a user's level of activity and selecting a medium with a highest level of activity in order to create the selected medium on the network, wherein the medium comprises a web page, a blog, a message, an instant message, or a social networking application; querying at least one of local and remote systems to determine user data comprising one or more current interests of the user based on personal information, wherein the personal information comprises ads that have been served, ads the user has clicked, searches requested, and surfing habits; processing the user data to automatically create content for the medium; creating the medium on the network; populating the medium with the automatically generated content; notifying one or more acquaintances of a user of the medium; and preventing a further notification to an acquaintance when a response from the acquaintance is not received within a timeout period, wherein the timeout period is automatically extended for the acquaintance when the acquaintance has previously responded. | 1. A method for generating a medium on a network, comprising: processing a user's level of activity and selecting a medium with a highest level of activity in order to create the selected medium on the network, wherein the medium comprises a web page, a blog, a message, an instant message, or a social networking application; querying at least one of local and remote systems to determine user data comprising one or more current interests of the user based on personal information, wherein the personal information comprises ads that have been served, ads the user has clicked, searches requested, and surfing habits; processing the user data to automatically create content for the medium; creating the medium on the network; populating the medium with the automatically generated content; notifying one or more acquaintances of a user of the medium; and preventing a further notification to an acquaintance when a response from the acquaintance is not received within a timeout period, wherein the timeout period is automatically extended for the acquaintance when the acquaintance has previously responded. 5. The method according to claim 1 , further comprising: determining one or more acquaintances of the user. | 0.947652 |
6,081,629 | 12 | 16 | 12. A system for automatically connecting a communications device to a remote site identified in printed text, comprising: a handheld scanner including an image sensing device for converting optical images of scanned symbols into electrical signals, a character recognition engine for converting said electrical signals into data representative of alphanumeric characters, and a transmission device for transmitting said data to said communications device; and a software agent that operates on said communications device, for receiving the data transmitted from said handheld scanner and controlling said communications device to initiate a connection to a remote site that is identified by the alphanumeric characters represented by the transmitted data. | 12. A system for automatically connecting a communications device to a remote site identified in printed text, comprising: a handheld scanner including an image sensing device for converting optical images of scanned symbols into electrical signals, a character recognition engine for converting said electrical signals into data representative of alphanumeric characters, and a transmission device for transmitting said data to said communications device; and a software agent that operates on said communications device, for receiving the data transmitted from said handheld scanner and controlling said communications device to initiate a connection to a remote site that is identified by the alphanumeric characters represented by the transmitted data. 16. The system of claim 12, wherein said software agent is incorporated a browser program. | 0.933824 |
7,519,566 | 5 | 6 | 5. A method as recited in claim 4 , wherein the contacting entities are potential or current customers and the answering entities are sales or service agents in communication with the potential or current customers. | 5. A method as recited in claim 4 , wherein the contacting entities are potential or current customers and the answering entities are sales or service agents in communication with the potential or current customers. 6. A method as recited in claim 5 , wherein the interactive server is a web server and the sales or service agents include automated agents. | 0.975239 |
8,050,906 | 1 | 3 | 1. A computerized method for translating text, the method comprising: receiving a set of text to be translated from a first source, the set of text comprising an expression of complete thought; receiving one or more translations for the set of text; inserting the one or more translations and a context for each of the one or more translations into a translation database to create one or more reusable translated text segments; wherein the context is part of a hierarchy of contexts having a plurality of levels wherein the plurality of levels define a search order; receiving a translation language indicator; receiving a set of text to be translated from a second source; receiving source context data for the translation; parsing the set of text into a plurality of input text segments, wherein the text segments comprise a plurality of words comprising an expression of complete thought; and for each of at least a subset of the plurality of input text segments: retrieving from the translation database a reusable translated text segment of the one or more reusable translated text segments in the translation language corresponding to the input text segment, wherein context data is associated with the plurality of words for the reusable translated text segment and corresponds to the source context data and is selected according to the level in the hierarchy of contexts, and wherein the context data indicates a meaning or intended audience for the reusable translated text; outputting the reusable translated text segment; and coding the translated text in the output according to the level in the hierarchy of context where the match exists. | 1. A computerized method for translating text, the method comprising: receiving a set of text to be translated from a first source, the set of text comprising an expression of complete thought; receiving one or more translations for the set of text; inserting the one or more translations and a context for each of the one or more translations into a translation database to create one or more reusable translated text segments; wherein the context is part of a hierarchy of contexts having a plurality of levels wherein the plurality of levels define a search order; receiving a translation language indicator; receiving a set of text to be translated from a second source; receiving source context data for the translation; parsing the set of text into a plurality of input text segments, wherein the text segments comprise a plurality of words comprising an expression of complete thought; and for each of at least a subset of the plurality of input text segments: retrieving from the translation database a reusable translated text segment of the one or more reusable translated text segments in the translation language corresponding to the input text segment, wherein context data is associated with the plurality of words for the reusable translated text segment and corresponds to the source context data and is selected according to the level in the hierarchy of contexts, and wherein the context data indicates a meaning or intended audience for the reusable translated text; outputting the reusable translated text segment; and coding the translated text in the output according to the level in the hierarchy of context where the match exists. 3. The method of claim 1 , further comprising searching the translation database for a fuzzy match to the input text segment. | 0.790268 |
8,494,273 | 1 | 4 | 1. A computer implemented method for performing adaptive optical character recognition on a document with distorted characters, the method comprising: providing a group of images of candidate characters; receiving a document in an image format; segmenting the document so as to provide a sub-image of a segmented character; and for one or more of the candidate characters: performing a distortion-correction transformation on the segmented character, so as to modify the segmented character in the sub-image into a transformed character more closely resembling the candidate character; comparing the transformed segmented character to the candidate character so as to calculate a comparison score; analyzing the distortion-correction transformation so as to assign the transformation a distortion score; and determining whether to identify the segmented character with the candidate character, responsively to both the comparison score and the distortion score. | 1. A computer implemented method for performing adaptive optical character recognition on a document with distorted characters, the method comprising: providing a group of images of candidate characters; receiving a document in an image format; segmenting the document so as to provide a sub-image of a segmented character; and for one or more of the candidate characters: performing a distortion-correction transformation on the segmented character, so as to modify the segmented character in the sub-image into a transformed character more closely resembling the candidate character; comparing the transformed segmented character to the candidate character so as to calculate a comparison score; analyzing the distortion-correction transformation so as to assign the transformation a distortion score; and determining whether to identify the segmented character with the candidate character, responsively to both the comparison score and the distortion score. 4. A method as claimed in claim 1 , wherein calculating the comparison score comprises calculating a difference between the transformed segmented character and the candidate character. | 0.81746 |
9,547,998 | 1 | 23 | 1. A computer-implemented method for training a user, comprising: by a sensor, sensing at least one action performed by the user and data corresponding to the at least one action to yield sensed data, wherein: the sensor comprises a USB sensor device and the sensing comprises detecting that a user of an electronic device has connected a USB device to the electronic device, the sensor comprises a Wi-Fi sensor device and the sensing comprises detecting that the user has connected the electronic device to a Wi-Fi access point, the sensor comprises a Bluetooth headset usage detection sensor and the sensing comprises identifying Bluetooth headset use, the sensor comprises a camera coupled with a computer vision program, or the sensor comprises a physical location tracking sensor and the sensing comprises detecting a location of the user; by a computer system comprising a processor, executing computer-readable programming instructions that cause the system to: access a data storage device that stores a training needs model that comprises an estimate of at least one of a cost and a benefit of exposing the user to at least one available training action, apply, to the training needs model, the sensed data to identify a cybersecurity threat scenario for which the user is at risk, access a collection of available training actions and select, based on the sensed data and the cybersecurity threat scenario, at least one training action from the collection of available training actions, and cause the selected at least one cybersecurity training action to be delivered to the user. | 1. A computer-implemented method for training a user, comprising: by a sensor, sensing at least one action performed by the user and data corresponding to the at least one action to yield sensed data, wherein: the sensor comprises a USB sensor device and the sensing comprises detecting that a user of an electronic device has connected a USB device to the electronic device, the sensor comprises a Wi-Fi sensor device and the sensing comprises detecting that the user has connected the electronic device to a Wi-Fi access point, the sensor comprises a Bluetooth headset usage detection sensor and the sensing comprises identifying Bluetooth headset use, the sensor comprises a camera coupled with a computer vision program, or the sensor comprises a physical location tracking sensor and the sensing comprises detecting a location of the user; by a computer system comprising a processor, executing computer-readable programming instructions that cause the system to: access a data storage device that stores a training needs model that comprises an estimate of at least one of a cost and a benefit of exposing the user to at least one available training action, apply, to the training needs model, the sensed data to identify a cybersecurity threat scenario for which the user is at risk, access a collection of available training actions and select, based on the sensed data and the cybersecurity threat scenario, at least one training action from the collection of available training actions, and cause the selected at least one cybersecurity training action to be delivered to the user. 23. The method of claim 1 , wherein the training needs model comprises a risk model comprising a susceptibility estimate of a user falling victim to one or more threat scenario or a cost estimate associated with one or more threat scenarios. | 0.852689 |
7,987,169 | 26 | 37 | 26. The method of claim 25 , wherein the generating of a score for a structure having an aggregate comprises calculating (a) a deviation score of the search expression, and (b) for each sub-expression of the search expression, a density and a relevance center of the sub-expression, for the aggregate, the calculating being performed using at least relevance geometry of the aggregate, one or more deviation scores of the search expression of each child of the aggregate, and a density of each sub-expression of the search expression for each child of the aggregate. | 26. The method of claim 25 , wherein the generating of a score for a structure having an aggregate comprises calculating (a) a deviation score of the search expression, and (b) for each sub-expression of the search expression, a density and a relevance center of the sub-expression, for the aggregate, the calculating being performed using at least relevance geometry of the aggregate, one or more deviation scores of the search expression of each child of the aggregate, and a density of each sub-expression of the search expression for each child of the aggregate. 37. The method of claim 26 , wherein the generating of a score for a structure having an aggregate comprises assigning a relevance value for a child of the aggregate for a plurality of disjointed sub-expressions of the search expression, to a maximum of a number of relevance values previously calculated or assigned to a child of the aggregate for the sub-expressions. | 0.913176 |
8,914,356 | 16 | 17 | 16. The computer readable storage medium of claim 15 , wherein the querying further comprises: marking the item type if the querying returns zero instances of the item type and if no other item type is marked. | 16. The computer readable storage medium of claim 15 , wherein the querying further comprises: marking the item type if the querying returns zero instances of the item type and if no other item type is marked. 17. The computer readable storage medium of claim 16 , wherein the operations further comprises: ceasing the querying, the associating, and the adjusting if the item type is already marked. | 0.896608 |
8,805,756 | 1 | 3 | 1. A method for enhancing automated deep question and answering comprising: receiving by a computer from a deep question-answer computing system at least one potential answer to a user-supplied clue or user-supplied question with a confidence factor associated with each received potential answer, wherein the confidence factor comprises an estimated likelihood of correctness according to semantic analysis exclusive of a rank based on feature or keyword count; comparing by a computer each confidence factor to a threshold; responsive to a confidence factor not meeting the threshold, automatically performing by a computer a crowd sourcing operation on the user-supplied clue or user-supplied question to yield a crowd-sourced enhancement to the clue or question; supplying by a computer the crowd-sourced enhancement to the deep question-answer computing system; responsive to receiving by a computer an enhanced potential answer and associated enhanced confidence factor from the deep question-answer computing system, repeating the comparing; and responsive to an enhanced potential answer and associated enhanced confidence factor meeting the threshold, providing to a user the enhanced potential answer via a user interface portion of a computer system. | 1. A method for enhancing automated deep question and answering comprising: receiving by a computer from a deep question-answer computing system at least one potential answer to a user-supplied clue or user-supplied question with a confidence factor associated with each received potential answer, wherein the confidence factor comprises an estimated likelihood of correctness according to semantic analysis exclusive of a rank based on feature or keyword count; comparing by a computer each confidence factor to a threshold; responsive to a confidence factor not meeting the threshold, automatically performing by a computer a crowd sourcing operation on the user-supplied clue or user-supplied question to yield a crowd-sourced enhancement to the clue or question; supplying by a computer the crowd-sourced enhancement to the deep question-answer computing system; responsive to receiving by a computer an enhanced potential answer and associated enhanced confidence factor from the deep question-answer computing system, repeating the comparing; and responsive to an enhanced potential answer and associated enhanced confidence factor meeting the threshold, providing to a user the enhanced potential answer via a user interface portion of a computer system. 3. The method as set forth in claim 1 wherein the automatically performing a crowd sourcing operation comprises performing a historical analysis of similar questions, clues or combination of questions and clues to determine potentially missing information from the received question or received clue, and performing an action to collect the missing information, and wherein the supplying a crowd-sourced enhancement to the deep question-answer computing system comprises including the collected missing information with the a crowd-sourced enhancement. | 0.678696 |
9,842,101 | 1 | 15 | 1. A method for converting language input, the method comprising: at an electronic device having one or more processors and memory: obtaining a corpus of text composed by a user; after obtaining the corpus of text: receiving, from the user, input comprising a sequence of symbols of a first symbolic system; determining a plurality of candidate word strings corresponding to the sequence of symbols, each candidate word string of the plurality of candidate word strings comprising two or more words of a second symbolic system, wherein the obtained corpus of text comprises words of the second symbolic system; ranking the plurality of candidate word strings based on a probability of occurrence of each candidate word string of the plurality of candidate word strings in the obtained corpus of text; and displaying, based on the ranking, a portion of the plurality of candidate word strings for selection by the user. | 1. A method for converting language input, the method comprising: at an electronic device having one or more processors and memory: obtaining a corpus of text composed by a user; after obtaining the corpus of text: receiving, from the user, input comprising a sequence of symbols of a first symbolic system; determining a plurality of candidate word strings corresponding to the sequence of symbols, each candidate word string of the plurality of candidate word strings comprising two or more words of a second symbolic system, wherein the obtained corpus of text comprises words of the second symbolic system; ranking the plurality of candidate word strings based on a probability of occurrence of each candidate word string of the plurality of candidate word strings in the obtained corpus of text; and displaying, based on the ranking, a portion of the plurality of candidate word strings for selection by the user. 15. The method of claim 1 , further comprising: determining, using a second language model, a probability of occurrence of each candidate word string of the plurality of candidate word strings in a general corpus of text, wherein ranking the plurality of candidate word strings is based on the probability of occurrence of each candidate word string of the plurality of candidate word strings in the general corpus of text, and wherein the general corpus of text is not composed by the user. | 0.6269 |
9,135,914 | 6 | 8 | 6. A computing device, comprising: a display; a touch screen; at least one input device; a processor; and memory having one or more instructions that, upon execution by the processor, cause the computing device to perform functions, the functions comprising: displaying, on the display, a display for a voice user interface to an application, the display for the voice user interface comprising a command display of one or more voice accessible commands for the application, a display for a non-voice user interface to the application, and an action bar, wherein the action bar is configured to separate the display for the voice user interface and the display for the non-voice user interface; receiving an input utterance via the at least one input device; obtaining input text based upon speech recognition performed upon the input utterance; determining that the input text corresponds to a voice-accessible command displayed as part of the command display; executing the application to perform the command; receiving input associated with a motion on the touch screen that starts at a region of the touch screen that corresponds to the action bar displayed on the display; and in response to the input, switching between the voice user interface and the non-voice user interface. | 6. A computing device, comprising: a display; a touch screen; at least one input device; a processor; and memory having one or more instructions that, upon execution by the processor, cause the computing device to perform functions, the functions comprising: displaying, on the display, a display for a voice user interface to an application, the display for the voice user interface comprising a command display of one or more voice accessible commands for the application, a display for a non-voice user interface to the application, and an action bar, wherein the action bar is configured to separate the display for the voice user interface and the display for the non-voice user interface; receiving an input utterance via the at least one input device; obtaining input text based upon speech recognition performed upon the input utterance; determining that the input text corresponds to a voice-accessible command displayed as part of the command display; executing the application to perform the command; receiving input associated with a motion on the touch screen that starts at a region of the touch screen that corresponds to the action bar displayed on the display; and in response to the input, switching between the voice user interface and the non-voice user interface. 8. The computing device of claim 6 , wherein the voice user interface comprises at least one visual feature different from the non-voice user interface, and wherein the at least one visual feature comprises a font, a color, a recognition-feedback region, or command display. | 0.84624 |
10,089,072 | 14 | 16 | 14. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors of a first electronic device with a microphone, cause the first electronic device to: sample, with the microphone at the first electronic device, an audio input specifying a task; identify, with the first electronic device, a confidence value indicative of a likelihood that the audio input was provided by a particular user; broadcast a first set of one or more values based on the sampled audio input, wherein a first value of the first set of one or more values is based on the confidence value; receive a second set of one or more values from a second electronic device, wherein the second set of one or more values is based on the audio input; determine, with the first electronic device, whether a type of the first electronic device meets a requirement of the task; and in accordance with a determination that the type of the first electronic device meets the requirement of the task: determine whether the first electronic device is to respond to the audio input based on the first set of one or more values, the second set of one or more values, and the requirement of the task; in accordance with a determination that the first electronic device is to respond to the audio input, respond to the audio input; in accordance with a determination that the first electronic device is not to respond to the audio input, forego responding to the audio input; and in accordance with a determination that the type of the first electronic device does not meet the requirement of the task, forego responding to the audio input with the first electronic device. | 14. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors of a first electronic device with a microphone, cause the first electronic device to: sample, with the microphone at the first electronic device, an audio input specifying a task; identify, with the first electronic device, a confidence value indicative of a likelihood that the audio input was provided by a particular user; broadcast a first set of one or more values based on the sampled audio input, wherein a first value of the first set of one or more values is based on the confidence value; receive a second set of one or more values from a second electronic device, wherein the second set of one or more values is based on the audio input; determine, with the first electronic device, whether a type of the first electronic device meets a requirement of the task; and in accordance with a determination that the type of the first electronic device meets the requirement of the task: determine whether the first electronic device is to respond to the audio input based on the first set of one or more values, the second set of one or more values, and the requirement of the task; in accordance with a determination that the first electronic device is to respond to the audio input, respond to the audio input; in accordance with a determination that the first electronic device is not to respond to the audio input, forego responding to the audio input; and in accordance with a determination that the type of the first electronic device does not meet the requirement of the task, forego responding to the audio input with the first electronic device. 16. The non-transitory computer readable storage medium of claim 14 , wherein a value of the first set of values is based on a sound pressure of the audio input sampled with the first electronic device. | 0.865513 |
7,844,502 | 1 | 18 | 1. An automated shopping system in which a user places an order for at least one provider, a degree of matching between each order-provider pairing is computed, and a score is reported to at least the user and optionally to the at least one provider, the automated shopping system comprising: at least one processor to receive and process information including at least one of (a) user information from at least one user including information that specifies provider criteria and order information that specifies order criteria for that particular order, (b) provider information from at least one provider, and (c) third party information; at least one data storage device that communicates with the at least one processor, that includes at least one database, and that receives and stores the information in the at least one database; at least one virtual provider that is created by program code within the at least one processor by pairing provider information of a particular provider with order information of a particular order to create an informational pair and that is stored within the at least one database; a knowledge base that is stored in a data storage device which may be said at least one data storage device, and that contains information on which to base requests for information by the system; a scoring system that resides in program code within the at least one processor, that compares the provider information of a particular provider and the order information of a particular order within each respective informational pair in at least one step, and that determines a score reflecting a degree of matching for each respective informational pair; and a management system that resides in program code within the at least one processor, that tracks each virtual provider through multiple steps, and that sequences the multiple steps by specifying contents of each step of the multiple steps, the contents at least including instructions to at least one of (a) the user regarding the input of user information, (b) the provider regarding the input of provider information, and (c) third parties regarding the input of information. | 1. An automated shopping system in which a user places an order for at least one provider, a degree of matching between each order-provider pairing is computed, and a score is reported to at least the user and optionally to the at least one provider, the automated shopping system comprising: at least one processor to receive and process information including at least one of (a) user information from at least one user including information that specifies provider criteria and order information that specifies order criteria for that particular order, (b) provider information from at least one provider, and (c) third party information; at least one data storage device that communicates with the at least one processor, that includes at least one database, and that receives and stores the information in the at least one database; at least one virtual provider that is created by program code within the at least one processor by pairing provider information of a particular provider with order information of a particular order to create an informational pair and that is stored within the at least one database; a knowledge base that is stored in a data storage device which may be said at least one data storage device, and that contains information on which to base requests for information by the system; a scoring system that resides in program code within the at least one processor, that compares the provider information of a particular provider and the order information of a particular order within each respective informational pair in at least one step, and that determines a score reflecting a degree of matching for each respective informational pair; and a management system that resides in program code within the at least one processor, that tracks each virtual provider through multiple steps, and that sequences the multiple steps by specifying contents of each step of the multiple steps, the contents at least including instructions to at least one of (a) the user regarding the input of user information, (b) the provider regarding the input of provider information, and (c) third parties regarding the input of information. 18. The automated shopping system of claim 1 , wherein the management system further comprises a calendar subsystem that tracks personal schedule information including time and dates of at least one of the user, the at least one provider, third parties, and the system operator. | 0.813423 |
8,832,556 | 1 | 3 | 1. A system comprising: one or more processors; a distributed database configured with items of data, the distributed database storing information of a social networking system describing a plurality of existing users; a scripting language configured to extract data from the social networking system, the data extraction applying access control comprising privacy settings of each user of the social networking system, the privacy settings restricting the information about the user that is accessible to other users of the social networking system; and a structured query language interface for extracting information of the social networking system, the structured query language interface in communication with the scripting language, the structured query language interface configured to access database systems and further configured to receive a query over a network, to send the query to the scripting language, and to receive extracted data from the scripting language comprising the requested information subject to the privacy settings of users of the social networking system in response to the query, wherein the distributed database allows an addition by the social networking system of a new field or category of data to the plurality of existing users, the new field or category of data representing an attribute describing each user of the plurality of existing users and storing data directly received from one or more users of the social networking system rather than data derived from one or more existing fields of data; and wherein the structured query language is further configured to receive a request from an application or website maintained by a third party separate from the social networking system, the request identifying the new field or category of data, generate a response to the request comprising the new field or category of data, determine a format for the response to accommodate a database of the third party, convert the response into the determined format, and provide the response in the determined format to the third party. | 1. A system comprising: one or more processors; a distributed database configured with items of data, the distributed database storing information of a social networking system describing a plurality of existing users; a scripting language configured to extract data from the social networking system, the data extraction applying access control comprising privacy settings of each user of the social networking system, the privacy settings restricting the information about the user that is accessible to other users of the social networking system; and a structured query language interface for extracting information of the social networking system, the structured query language interface in communication with the scripting language, the structured query language interface configured to access database systems and further configured to receive a query over a network, to send the query to the scripting language, and to receive extracted data from the scripting language comprising the requested information subject to the privacy settings of users of the social networking system in response to the query, wherein the distributed database allows an addition by the social networking system of a new field or category of data to the plurality of existing users, the new field or category of data representing an attribute describing each user of the plurality of existing users and storing data directly received from one or more users of the social networking system rather than data derived from one or more existing fields of data; and wherein the structured query language is further configured to receive a request from an application or website maintained by a third party separate from the social networking system, the request identifying the new field or category of data, generate a response to the request comprising the new field or category of data, determine a format for the response to accommodate a database of the third party, convert the response into the determined format, and provide the response in the determined format to the third party. 3. The system of claim 1 , wherein the structured query language interface is further configured to send some or all of the extracted data over the network. | 0.657895 |
8,832,132 | 20 | 21 | 20. A computer-implemented method of providing a search result set relevant to a search query, the method comprising: hosting a social network comprising a plurality of communities, each community having a plurality of users; storing a user profile for each user including a first user and a second user, the user profile identifying the user's membership in at least one of the communities; receiving the search query directed to a content index that is independent of the social network from the first user who is a member of at least one of the communities; determining personalization information including a first search phrase and a second search phrase, the first search phrase being determined from the first user's user profile and data from the second user's user profile, the second user's user profile having a degree of separation from the first user's user profile in the social network, and the second search phrase being based at least in part on the first user's membership in the at least one of the communities and a level of personalization selected by the first user for personalizing the search query received from the first user, wherein the level of personalization indicates a total number of the communities from which the second search phrase is retrieved; combining the search query received from the first user and the first search phrase and the second search phrase to form a personalized search query; and searching the content index using the personalized search query to produce the search result set comprising documents relevant to the personalized search query. | 20. A computer-implemented method of providing a search result set relevant to a search query, the method comprising: hosting a social network comprising a plurality of communities, each community having a plurality of users; storing a user profile for each user including a first user and a second user, the user profile identifying the user's membership in at least one of the communities; receiving the search query directed to a content index that is independent of the social network from the first user who is a member of at least one of the communities; determining personalization information including a first search phrase and a second search phrase, the first search phrase being determined from the first user's user profile and data from the second user's user profile, the second user's user profile having a degree of separation from the first user's user profile in the social network, and the second search phrase being based at least in part on the first user's membership in the at least one of the communities and a level of personalization selected by the first user for personalizing the search query received from the first user, wherein the level of personalization indicates a total number of the communities from which the second search phrase is retrieved; combining the search query received from the first user and the first search phrase and the second search phrase to form a personalized search query; and searching the content index using the personalized search query to produce the search result set comprising documents relevant to the personalized search query. 21. The method of claim 20 , wherein determining personalization information including the first search phrase further comprises identifying a classification of the at least one community. | 0.601695 |
9,117,447 | 24 | 25 | 24. The computer readable storage medium of claim 20 , wherein the context data includes a location associated with the calendar event. | 24. The computer readable storage medium of claim 20 , wherein the context data includes a location associated with the calendar event. 25. The computer readable storage medium of claim 24 , the operations further comprising: identifying at least one parameter for the task; and selecting the location as one of the at least one parameters for the task. | 0.883833 |
8,326,809 | 1 | 12 | 1. A computer-implemented method for processing textual data, comprising: receiving, using one or more data processors, an input stream of textual data, wherein the input stream includes a plurality of characters arranged in an order; receiving, using the one or more data processors, an initial state for a plurality of context variables; accessing, using the one or more data processors, a plurality of parsing rules including a regular expression rule and a dictionary list rule, wherein a parsing rule includes a search portion identifying search criteria for satisfying the parsing rule, a segmenting portion including a procedure for segmenting a portion of the input stream when the parsing rule is satisfied, and a context portion identifying adjustments to the context variables when the parsing rule is satisfied; positioning, using the one or more data processors, a pointer at a position in the input stream; evaluating, using the one or more data processors, the parsing rules using one or more characters at positions in the input stream after the pointer; determining, using the one or more data processors, that a parsing rule is satisfied, wherein a regular expression rule is satisfied when the one or more characters match a symbolically defined string and the plurality of context variables meet a regular expression context criteria, and wherein the dictionary list rule is satisfied when the one or more characters match a literal string included in a dictionary list and the context variables meet a dictionary list context criteria; segmenting, using the one or more data processors, the one or more characters according to the segmenting portion of the satisfied parsing rule; generating, using the one or more data processors, textual data elements using the segmented characters; adjusting, using the one or more data processors, the state of the plurality of context variables according to the context portion of the satisfied parsing rule; and outputting, using the one or more data processors, the textual data elements to a morphological parser. | 1. A computer-implemented method for processing textual data, comprising: receiving, using one or more data processors, an input stream of textual data, wherein the input stream includes a plurality of characters arranged in an order; receiving, using the one or more data processors, an initial state for a plurality of context variables; accessing, using the one or more data processors, a plurality of parsing rules including a regular expression rule and a dictionary list rule, wherein a parsing rule includes a search portion identifying search criteria for satisfying the parsing rule, a segmenting portion including a procedure for segmenting a portion of the input stream when the parsing rule is satisfied, and a context portion identifying adjustments to the context variables when the parsing rule is satisfied; positioning, using the one or more data processors, a pointer at a position in the input stream; evaluating, using the one or more data processors, the parsing rules using one or more characters at positions in the input stream after the pointer; determining, using the one or more data processors, that a parsing rule is satisfied, wherein a regular expression rule is satisfied when the one or more characters match a symbolically defined string and the plurality of context variables meet a regular expression context criteria, and wherein the dictionary list rule is satisfied when the one or more characters match a literal string included in a dictionary list and the context variables meet a dictionary list context criteria; segmenting, using the one or more data processors, the one or more characters according to the segmenting portion of the satisfied parsing rule; generating, using the one or more data processors, textual data elements using the segmented characters; adjusting, using the one or more data processors, the state of the plurality of context variables according to the context portion of the satisfied parsing rule; and outputting, using the one or more data processors, the textual data elements to a morphological parser. 12. The method of claim 1 , wherein a clustering algorithm is used to analyze and categorize the textual data elements. | 0.80363 |
7,734,623 | 6 | 7 | 6. A method for ranking search results comprising: receiving a plurality of search terms; for each of said search terms, forming disambiguated interpretations with respect to an ontology; using said disambiguated interpretations during said search to define a set of results comprising a plurality of documents; weighting, by a processor, said plurality of documents in accordance with an extent to which each of said plurality of documents is semantically coherent with said disambiguated interpretations; and displaying said disambiguated interpretations for at least one of said search terms to a user. | 6. A method for ranking search results comprising: receiving a plurality of search terms; for each of said search terms, forming disambiguated interpretations with respect to an ontology; using said disambiguated interpretations during said search to define a set of results comprising a plurality of documents; weighting, by a processor, said plurality of documents in accordance with an extent to which each of said plurality of documents is semantically coherent with said disambiguated interpretations; and displaying said disambiguated interpretations for at least one of said search terms to a user. 7. The method of claim 6 , further comprising receiving user input deselecting one or more of said disambiguated interpretations. | 0.856347 |
8,494,847 | 1 | 8 | 1. A weighting factor learning system comprising: an audio recognition section that recognizes learning audio data and outputs a recognition result; a weighting factor updating section that updates a first weighting factor applied to an acoustic score obtained from an acoustic model and a second weighting factor applied to a language score obtained from a language model which are used in the audio recognition so that a difference between a correct-answer score calculated with the use of a correct-answer text of the learning audio data and a recognition-result score output from the audio recognition section becomes large; a convergence determination section that determines, with the use of the acoustic score after updating the first weighting factor and the language score after updating the second weighting factor, whether to return to the weighting factor updating section to update the first weighting factor and the second weighting factor again; and a weighting factor convergence determination section that determines, with the use of the acoustic score after updating the first weighting factor and the language score after updating the second weighting factor, whether to return to the audio recognition section to recognize the learning audio data and to output the recognition result using the audio recognition section, update the first weighting factor and the second weighting factor using the weighting factor updating section, and determine whether to return to the weighting factor updating section using the convergence determination section to update the first weighting factor and the second weighting factor again. | 1. A weighting factor learning system comprising: an audio recognition section that recognizes learning audio data and outputs a recognition result; a weighting factor updating section that updates a first weighting factor applied to an acoustic score obtained from an acoustic model and a second weighting factor applied to a language score obtained from a language model which are used in the audio recognition so that a difference between a correct-answer score calculated with the use of a correct-answer text of the learning audio data and a recognition-result score output from the audio recognition section becomes large; a convergence determination section that determines, with the use of the acoustic score after updating the first weighting factor and the language score after updating the second weighting factor, whether to return to the weighting factor updating section to update the first weighting factor and the second weighting factor again; and a weighting factor convergence determination section that determines, with the use of the acoustic score after updating the first weighting factor and the language score after updating the second weighting factor, whether to return to the audio recognition section to recognize the learning audio data and to output the recognition result using the audio recognition section, update the first weighting factor and the second weighting factor using the weighting factor updating section, and determine whether to return to the weighting factor updating section using the convergence determination section to update the first weighting factor and the second weighting factor again. 8. The weighting factor learning system according to claim 1 , wherein the weighting factor convergence determination section returns to the audio recognition section to recognize the learning audio data and to output the recognition result using the audio recognition section, update the first weighting factor and the second weighting factor using the weighting factor updating section, and determine whether to return to the weighting factor updating section using the convergence determination section to update the first weighting factor and the second weighting factor again when a score difference before the updating and after the updating, and a rate of change obtained by dividing the score difference are greater than predetermined thresholds, wherein the score difference is based on the acoustic score and the language score. | 0.511655 |
8,438,011 | 11 | 13 | 11. The process of claim 10 , wherein said hash function was used to respectively produce and associate one or more binary codewords with each personal name in the personal name directory in said particular language, said producing and associating comprising, segmenting each personal name in the personal name directory into constituent tokens, wherein each token corresponds to a word in the personal name comprising a continuous string of characters unbroken by a space and whose characters are consistent with the types of characters employed in personal names in said particular language, identifying a set of unique tokens from the constituent tokens of the personal names from the personal name directory; generating an index which for each token in the set of unique tokens identifies all the personal names in the personal name directory that have that token as one of its constituent tokens; applying said hash function to each unique token to produce a binary codeword representation thereof; and associating the binary codeword produced for each unique token with that token in said index, and wherein the process action of using said hash function to produce one or more binary codewords from the personal name in the personal name query, comprises the actions of: segmenting the personal name from the query into constituent tokens, wherein each token corresponds to a word in the personal name comprising a continuous string of characters unbroken by a space and whose characters are consistent with the types of characters employed in personal names in said particular language; identifying unique tokens within the constituent tokens segmented from the personal name query that are a member of said set of unique tokens; and applying said hash function to each identified unique token from the personal name query to produce a binary codeword for each of the identified unique tokens. | 11. The process of claim 10 , wherein said hash function was used to respectively produce and associate one or more binary codewords with each personal name in the personal name directory in said particular language, said producing and associating comprising, segmenting each personal name in the personal name directory into constituent tokens, wherein each token corresponds to a word in the personal name comprising a continuous string of characters unbroken by a space and whose characters are consistent with the types of characters employed in personal names in said particular language, identifying a set of unique tokens from the constituent tokens of the personal names from the personal name directory; generating an index which for each token in the set of unique tokens identifies all the personal names in the personal name directory that have that token as one of its constituent tokens; applying said hash function to each unique token to produce a binary codeword representation thereof; and associating the binary codeword produced for each unique token with that token in said index, and wherein the process action of using said hash function to produce one or more binary codewords from the personal name in the personal name query, comprises the actions of: segmenting the personal name from the query into constituent tokens, wherein each token corresponds to a word in the personal name comprising a continuous string of characters unbroken by a space and whose characters are consistent with the types of characters employed in personal names in said particular language; identifying unique tokens within the constituent tokens segmented from the personal name query that are a member of said set of unique tokens; and applying said hash function to each identified unique token from the personal name query to produce a binary codeword for each of the identified unique tokens. 13. The process of claim 11 , wherein the process action of employing a personal name directory to identify up to a prescribed number of personal names in the personal name directory each of which has one or more of its associated binary codewords that are similar to one or more of the binary codewords produced from the personal name query, comprises the actions of: for each binary codeword associated with the personal name query, respectively computing said distance measure between the personal name query codeword and each codeword computed for a unique token derived from the personal name directory, identifying codewords computed for a unique token derived from the personal name directory that have a computed distance measure from the personal name query codeword that is less than said prescribed distance threshold; for each unique token corresponding to a one of the identified codewords, respectively computing a token level similarity measure between that token and each token associated with the personal name query; ranking the unique tokens corresponding to the identified codewords based on their computed similarity measure; retaining a prescribed number of the top ranking unique tokens; identifying the personal names in the personal name directory that comprise any of the retained top ranking unique tokens and designate each of these personal names as a candidate personal name; identifying a prescribed number of the candidate personal names from the personal name directory that most closely match the personal name from the query, wherein a personal name from the directory is deemed to most closely match a query personal name whenever a personal name similarity score computed using the token level similarity measures computed between the tokens of the candidate personal name and personal name from the query is one of said prescribed number of the top ranking candidate personal names based on the personal name similarity scores; and for each of the identified prescribed number of the candidate personal names from the personal name directory that most closely match the personal name from the query, ascertaining if the personal name similarity score computed for the candidate personal name exceeds a prescribed personal name similarity threshold, and designating each candidate personal name whose personal name similarity score is ascertained to exceed the prescribed personal name similarity threshold as potential personal name corrections. | 0.500201 |
7,739,602 | 10 | 19 | 10. A method for sharing digital resources through an Internet based network which has a plurality of registered users, wherein each of said users is either or both of a publisher to publish his information to others and a subscriber to subscribe shared information from others, said method comprising the steps of: a publisher creating one or more views of a resource; designating a subscriber as a member of said publisher's community; defining a period of time after which a publish offer lapses; creating groups within said publisher's community, each group being based on a predefined sharing relationship between said publisher and the community members of said each group; processing a non-subscriber user's request for sharing; establishing a limited sharing relationship between a subscriber user and a non-subscriber user; announcing availability of one or more views of said resource to one or more subscribers of said network; designating a subscriber who subscribes one or more views of said resource to one or more of said groups; using at least one publisher-agent on behalf of said publisher to serve as a gateway for all of said publisher's software applications to send out announcements and process all requests from subscribers and non-subscriber users; using at least one subscriber-agent on behalf of a community member of said publisher to serve as a gateway for all of said community member's software applications to process requests from said publisher and other subscribers; delivering different views of said resource to one or more of said groups based on different sharing relationships; whenever said resource is modified by said publisher, automatically updating any local copy of said resource accessible by any member of said publisher's community; wherein a subscriber of said resource can edit published information in a local copy of said resource, said edited published information being overwritten by any published by said publisher; and wherein each of said views has metadata describing sharing styles, as well as version, creation date and size, wherein each sharing style corresponds to a specific sharing relationship of the publisher. | 10. A method for sharing digital resources through an Internet based network which has a plurality of registered users, wherein each of said users is either or both of a publisher to publish his information to others and a subscriber to subscribe shared information from others, said method comprising the steps of: a publisher creating one or more views of a resource; designating a subscriber as a member of said publisher's community; defining a period of time after which a publish offer lapses; creating groups within said publisher's community, each group being based on a predefined sharing relationship between said publisher and the community members of said each group; processing a non-subscriber user's request for sharing; establishing a limited sharing relationship between a subscriber user and a non-subscriber user; announcing availability of one or more views of said resource to one or more subscribers of said network; designating a subscriber who subscribes one or more views of said resource to one or more of said groups; using at least one publisher-agent on behalf of said publisher to serve as a gateway for all of said publisher's software applications to send out announcements and process all requests from subscribers and non-subscriber users; using at least one subscriber-agent on behalf of a community member of said publisher to serve as a gateway for all of said community member's software applications to process requests from said publisher and other subscribers; delivering different views of said resource to one or more of said groups based on different sharing relationships; whenever said resource is modified by said publisher, automatically updating any local copy of said resource accessible by any member of said publisher's community; wherein a subscriber of said resource can edit published information in a local copy of said resource, said edited published information being overwritten by any published by said publisher; and wherein each of said views has metadata describing sharing styles, as well as version, creation date and size, wherein each sharing style corresponds to a specific sharing relationship of the publisher. 19. The method of claim 10 , wherein said at least one subscriber-agent automatically generates responses according to said community member's preferences. | 0.788828 |
8,908,003 | 1 | 10 | 1. A method, comprising: determining a status of a media object on a first device, the status of the media object comprising an identifier of content in the media object viewable by a user; causing sending of an indicator of the status of the media object to a remote device, the indicator being configured to allow the remote device to present the status of the media object; and causing display of animated content based on the determined status of the media object, wherein displaying animated content includes providing commentary or asking questions related to content associated with the media object; and causing establishment of at least one of audio or video communication with the remote device. | 1. A method, comprising: determining a status of a media object on a first device, the status of the media object comprising an identifier of content in the media object viewable by a user; causing sending of an indicator of the status of the media object to a remote device, the indicator being configured to allow the remote device to present the status of the media object; and causing display of animated content based on the determined status of the media object, wherein displaying animated content includes providing commentary or asking questions related to content associated with the media object; and causing establishment of at least one of audio or video communication with the remote device. 10. The method of claim 1 , wherein the media object is a book, and wherein the status is selected content in the book. | 0.847826 |
8,726,395 | 1 | 2 | 1. A system comprising: a memory device that stores instructions; and a hardware processor that executes the instructions to create an adaptation engine for partial encryption of a document, the adaptation engine comprising: a paginator, the paginator paginating the document into at least one sub-page according to characteristics of a specific device class; and an encryptor, the encryptor separately encrypting a to-be-encrypted element of the at least one sub-page using a partial encryption mechanism known by a client device and based on the characteristics of the specific device class, wherein when the to-be-encrypted element of the at least one sub-page comprises the entire sub-page, the encryptor encrypts the entire sub-page, and when the to-be-encrypted element of the at least one sub-page comprises less than all elements of the entire sub-page, the encryptor encrypts only the to-be-encrypted element, and further wherein the adaptation engine surrounds the to-be-encrypted element of the at least one sub-page with a corresponding encryption tag. | 1. A system comprising: a memory device that stores instructions; and a hardware processor that executes the instructions to create an adaptation engine for partial encryption of a document, the adaptation engine comprising: a paginator, the paginator paginating the document into at least one sub-page according to characteristics of a specific device class; and an encryptor, the encryptor separately encrypting a to-be-encrypted element of the at least one sub-page using a partial encryption mechanism known by a client device and based on the characteristics of the specific device class, wherein when the to-be-encrypted element of the at least one sub-page comprises the entire sub-page, the encryptor encrypts the entire sub-page, and when the to-be-encrypted element of the at least one sub-page comprises less than all elements of the entire sub-page, the encryptor encrypts only the to-be-encrypted element, and further wherein the adaptation engine surrounds the to-be-encrypted element of the at least one sub-page with a corresponding encryption tag. 2. The system of claim 1 , wherein the adaptation engine further comprises: a reducer for removing irrelevant portions from the document with respect to the specific device class before paginating the document. | 0.746988 |
9,690,824 | 1 | 9 | 1. A method for searching a database of Objects, in which each Object is associated with a plurality of Attributes, each Attribute is associated with a Kind, and each Kind is associated with a plurality of Attributes, comprising: performing processing associated with receiving, utilizing a computer, search criteria from a user, the search criteria comprising an Attribute; performing processing associated with creating, utilizing the computer, a Nonceattribute using the search criteria; performing processing associated with inputting, utilizing the computer, a search utilizing the Nonceattribute; performing processing associated with identifying, utilizing the computer, all Objects having the Nonceattribute; performing processing associated with identifying, utilizing the computer, all Attributes associated with the Objects; performing processing associated with identifying, utilizing the computer, all Kinds associated with the Attributes; performing processing associated with applying to the Kinds and Attributes so identified a ranking criterion, wherein the ranking criterion is used by a user interface to determine the position of Kinds associated with items responsive to the search in a hierarchical display; and performing processing associated with displaying, utilizing the computer, the highest-ranked portion of the Kinds and the highest-ranked portion of the Attributes that can readably be shown in a search result display, the search result display presented in a mutable hierarchical format independent of a location of an object in a default hierarchical structure. | 1. A method for searching a database of Objects, in which each Object is associated with a plurality of Attributes, each Attribute is associated with a Kind, and each Kind is associated with a plurality of Attributes, comprising: performing processing associated with receiving, utilizing a computer, search criteria from a user, the search criteria comprising an Attribute; performing processing associated with creating, utilizing the computer, a Nonceattribute using the search criteria; performing processing associated with inputting, utilizing the computer, a search utilizing the Nonceattribute; performing processing associated with identifying, utilizing the computer, all Objects having the Nonceattribute; performing processing associated with identifying, utilizing the computer, all Attributes associated with the Objects; performing processing associated with identifying, utilizing the computer, all Kinds associated with the Attributes; performing processing associated with applying to the Kinds and Attributes so identified a ranking criterion, wherein the ranking criterion is used by a user interface to determine the position of Kinds associated with items responsive to the search in a hierarchical display; and performing processing associated with displaying, utilizing the computer, the highest-ranked portion of the Kinds and the highest-ranked portion of the Attributes that can readably be shown in a search result display, the search result display presented in a mutable hierarchical format independent of a location of an object in a default hierarchical structure. 9. The method of claim 1 , wherein the user interface enables the user to exclude Objects having a user-selected Attribute from the search. | 0.699134 |
7,720,721 | 24 | 36 | 24. A system comprising: a memory and a processor; a transaction analysis module stored in the memory and executable on the processor for: retrieving at least one activity record that represents at least one interaction between a visitor and a server-based system; identifying within the activity record at least one input provided by the visitor during the interaction; identifying within the activity record at least one item associated with the input; accessing at least one further activity record containing the input; comparing the activity record and the further activity record; identifying within the further activity record at least one further item associated with the input; establishing a similarity rating of the item and the further item based at least in part on the comparison of the activity record and the further activity record; a synonym recognition unit stored in the memory and executable on the processor, the synonym recognition unit being in communication with the transaction analysis module for: receiving indications of the item and the further item and for receiving indications of the similarity rating; obtaining a document associated with the item and obtaining at least a further document associated with the further item; comparing the document to the further document; determining, based at least in part on the similarity rating of the item and the further item, that the document associated with the item and the further document associated with the further item contain synonyms; designating a term that appears in the document associated with the item as a synonym for a different term that appears in the further document associated with the further item; and a search engine stored in the memory and executable on the processor, the search engine being in communication with the synonym recognition unit for: receiving a search query specifying at least the different term that appears in the further document; and returning, as search results for the search query, the further document associated with the further item and the document associated with the item containing the term that is the synonym for the different term. | 24. A system comprising: a memory and a processor; a transaction analysis module stored in the memory and executable on the processor for: retrieving at least one activity record that represents at least one interaction between a visitor and a server-based system; identifying within the activity record at least one input provided by the visitor during the interaction; identifying within the activity record at least one item associated with the input; accessing at least one further activity record containing the input; comparing the activity record and the further activity record; identifying within the further activity record at least one further item associated with the input; establishing a similarity rating of the item and the further item based at least in part on the comparison of the activity record and the further activity record; a synonym recognition unit stored in the memory and executable on the processor, the synonym recognition unit being in communication with the transaction analysis module for: receiving indications of the item and the further item and for receiving indications of the similarity rating; obtaining a document associated with the item and obtaining at least a further document associated with the further item; comparing the document to the further document; determining, based at least in part on the similarity rating of the item and the further item, that the document associated with the item and the further document associated with the further item contain synonyms; designating a term that appears in the document associated with the item as a synonym for a different term that appears in the further document associated with the further item; and a search engine stored in the memory and executable on the processor, the search engine being in communication with the synonym recognition unit for: receiving a search query specifying at least the different term that appears in the further document; and returning, as search results for the search query, the further document associated with the further item and the document associated with the item containing the term that is the synonym for the different term. 36. The system of claim 24 , wherein the transaction analysis module is for outputting indications of marked items as candidate items. | 0.826425 |
9,444,793 | 32 | 53 | 32. A system for securing data transmitted between a client device and a server comprising: a memory; and a controller configured to: obtain input text sent from the client device to the server; process said input text to obtain processed text, wherein said controller is configured to process said input text by: when the input text is not to be searchable by the server, transforming the input text non-deterministically or a combination of deterministically and non-deterministically, using at least one key, to obtain processed text; and when the input text is to be searchable by the server, transforming said input text deterministically, using at least one key to obtain processed text, and including a statistically significant feature in the processed text, the feature including a rarely used character or group of characters; and transmit the processed text to the server. | 32. A system for securing data transmitted between a client device and a server comprising: a memory; and a controller configured to: obtain input text sent from the client device to the server; process said input text to obtain processed text, wherein said controller is configured to process said input text by: when the input text is not to be searchable by the server, transforming the input text non-deterministically or a combination of deterministically and non-deterministically, using at least one key, to obtain processed text; and when the input text is to be searchable by the server, transforming said input text deterministically, using at least one key to obtain processed text, and including a statistically significant feature in the processed text, the feature including a rarely used character or group of characters; and transmit the processed text to the server. 53. The system of claim 32 , wherein said controller is configured to decide to transform non-deterministically a word of the input text non-deterministically based on whether said word is member of a set of words. | 0.84195 |
7,913,228 | 1 | 4 | 1. A software documentation system, comprising: at least one processor that executes the following computer executable components stored on at least one non-transitory computer readable medium: a selection component that detects a project component within a context of a current language, the detected project component includes at least one documentation object associated with a software development tool in the software documentation system; a translation viewer provides an automated interface that displays alternative language documentation associated with the detected project component during editing of the at least one documentation object associated with the detected project component in the current language, when the alternative language documentation corresponding to the at least one documentation object exists in a storage medium operatively coupled to the software development tool; and an editor associated with the translation viewer that is linked to the context of the current language, the editor enables modification of the at least one documentation object associated with the detected project component, wherein the translation viewer provides an alert that is indicative of an existence of the alternative language documentation and provides a reminder that the alternative language documentation is to be adjusted in view of changes made to the at least one documentation object via the editor. | 1. A software documentation system, comprising: at least one processor that executes the following computer executable components stored on at least one non-transitory computer readable medium: a selection component that detects a project component within a context of a current language, the detected project component includes at least one documentation object associated with a software development tool in the software documentation system; a translation viewer provides an automated interface that displays alternative language documentation associated with the detected project component during editing of the at least one documentation object associated with the detected project component in the current language, when the alternative language documentation corresponding to the at least one documentation object exists in a storage medium operatively coupled to the software development tool; and an editor associated with the translation viewer that is linked to the context of the current language, the editor enables modification of the at least one documentation object associated with the detected project component, wherein the translation viewer provides an alert that is indicative of an existence of the alternative language documentation and provides a reminder that the alternative language documentation is to be adjusted in view of changes made to the at least one documentation object via the editor. 4. The system of claim 1 , the selection component is linked to a component that triggers activation of the translation viewer. | 0.829759 |
9,977,801 | 23 | 24 | 23. In a database system comprising one or more processors and memory, a method of managing a string dictionary, the method comprising: constructing in memory a value identifier (ID) directory, a separator directory, and a large string handler, wherein: the value ID directory provides access to an entry of the dictionary given a value ID; the separator directory provides access to an entry of the dictionary given a string value; and the large string handler provides access to large string values; and with a dictionary storage component: receiving a request for an entry of the string dictionary; using a value ID or string value associated with the request, selecting a dictionary block of multiple dictionary blocks as responsive to the request, each of the multiple dictionary blocks comprising one or more value blocks; selectively loading the selected dictionary block into memory; and searching the selected dictionary block that has been loaded into memory; storing value block vectors as part of a basis, each of the value block vectors storing pointers to the one or more value blocks for one of the multiple dictionary blocks; and with an attribute engine, providing access to the dictionary. | 23. In a database system comprising one or more processors and memory, a method of managing a string dictionary, the method comprising: constructing in memory a value identifier (ID) directory, a separator directory, and a large string handler, wherein: the value ID directory provides access to an entry of the dictionary given a value ID; the separator directory provides access to an entry of the dictionary given a string value; and the large string handler provides access to large string values; and with a dictionary storage component: receiving a request for an entry of the string dictionary; using a value ID or string value associated with the request, selecting a dictionary block of multiple dictionary blocks as responsive to the request, each of the multiple dictionary blocks comprising one or more value blocks; selectively loading the selected dictionary block into memory; and searching the selected dictionary block that has been loaded into memory; storing value block vectors as part of a basis, each of the value block vectors storing pointers to the one or more value blocks for one of the multiple dictionary blocks; and with an attribute engine, providing access to the dictionary. 24. The method of claim 23 , wherein the selecting the dictionary block with the dictionary storage component comprises, when a value ID is provided in the request: searching the value ID directory for a last value ID of one of the multiple dictionary blocks that contains the value ID provided in the request, and selecting the dictionary block that contains the value ID provided in the request. | 0.842585 |
9,767,262 | 25 | 26 | 25. The method of claim 19 , further comprising establishing, by at least one of the one or more remote computing devices, the master security credential as a valid master security credential based at least in part on at least one answer of the plurality of answers to the plurality of knowledge-based questions. | 25. The method of claim 19 , further comprising establishing, by at least one of the one or more remote computing devices, the master security credential as a valid master security credential based at least in part on at least one answer of the plurality of answers to the plurality of knowledge-based questions. 26. The method of claim 25 , wherein the valid master security credential is received from the client computing device. | 0.969424 |
8,874,541 | 19 | 22 | 19. A non-transitory computer readable storage medium storing instructions for identifying search keywords for searching for an online information resource, the instructions executable by a processor and comprising functionality for: receiving, from a business, a request for the search keywords relating to content of the online information resource of the business; generating, in response to receiving the request, a post comprising information about the business, a request to a plurality of users in a social network to provide the search keywords relating to the content of the online information resource of the business, and a link to a search keyword recommendation page; publishing, using a social network application, the post to a newsfeed in the social network, wherein the plurality of users in the social network subscribe to the newsfeed; receiving, in response to publishing the post and from the plurality of users, a plurality of search keywords relating to the content of the online information resource from the search keyword recommendation page; ranking, in response to receiving a plurality of search keywords, the search keywords in order from most popular to least popular; presenting, to the business, search keywords based at least in part upon the ranking; receiving, from the business, a selection of at least one search keyword from the search keywords that were presented to the business; and publishing the online information resource comprising the selected at least one search keyword. | 19. A non-transitory computer readable storage medium storing instructions for identifying search keywords for searching for an online information resource, the instructions executable by a processor and comprising functionality for: receiving, from a business, a request for the search keywords relating to content of the online information resource of the business; generating, in response to receiving the request, a post comprising information about the business, a request to a plurality of users in a social network to provide the search keywords relating to the content of the online information resource of the business, and a link to a search keyword recommendation page; publishing, using a social network application, the post to a newsfeed in the social network, wherein the plurality of users in the social network subscribe to the newsfeed; receiving, in response to publishing the post and from the plurality of users, a plurality of search keywords relating to the content of the online information resource from the search keyword recommendation page; ranking, in response to receiving a plurality of search keywords, the search keywords in order from most popular to least popular; presenting, to the business, search keywords based at least in part upon the ranking; receiving, from the business, a selection of at least one search keyword from the search keywords that were presented to the business; and publishing the online information resource comprising the selected at least one search keyword. 22. The non-transitory computer readable storage of claim 19 , wherein the search keywords are presented to the business in an order from most popular to least popular. | 0.84121 |
8,209,316 | 1 | 2 | 1. One or more computer-storage media storing computer-useable instructions that, when used by one or more computing devices, causes the one or more computing devices to perform a method comprising: receiving a user selection of a target media file; identifying a first set of media files that has been determined to be related to the target media file, wherein the first set of media files is identified for presentation to a user in response to the user selection of the target media file; determining that a quantity of media files included in the first set of media files does not meet a minimum threshold of media files; constructing a first query based on one or more of a title or a description of the target media file; using the first query, searching a media database to identify a second set of media files; inspecting titles of the first set of media files and the second set of media files to determine a cosine similarity between the titles such that words in the titles are compared, wherein media files having the cosine similarity above a predetermined threshold are considered duplicate media files; determining the quantity of media files includes in the first set of media files and the second set of media files; if it is determined that the quantity of media files included in the first set of media files and the second set of media files combined without the duplicate media files does not meet the minimum threshold of media files, generating a second query to identify from the media database a third set of media files, and communicating for display the media files included in the first set, the second set, and the third set of media files; and if it is determined that the quantity of media files in the first set of media files and the second set of media files combined without the duplicate media files meets the minimum threshold of media files, communicating for display at least a portion of the media files included in the first set of media files and the second set of media files that have not been determined to be the duplicate media files. | 1. One or more computer-storage media storing computer-useable instructions that, when used by one or more computing devices, causes the one or more computing devices to perform a method comprising: receiving a user selection of a target media file; identifying a first set of media files that has been determined to be related to the target media file, wherein the first set of media files is identified for presentation to a user in response to the user selection of the target media file; determining that a quantity of media files included in the first set of media files does not meet a minimum threshold of media files; constructing a first query based on one or more of a title or a description of the target media file; using the first query, searching a media database to identify a second set of media files; inspecting titles of the first set of media files and the second set of media files to determine a cosine similarity between the titles such that words in the titles are compared, wherein media files having the cosine similarity above a predetermined threshold are considered duplicate media files; determining the quantity of media files includes in the first set of media files and the second set of media files; if it is determined that the quantity of media files included in the first set of media files and the second set of media files combined without the duplicate media files does not meet the minimum threshold of media files, generating a second query to identify from the media database a third set of media files, and communicating for display the media files included in the first set, the second set, and the third set of media files; and if it is determined that the quantity of media files in the first set of media files and the second set of media files combined without the duplicate media files meets the minimum threshold of media files, communicating for display at least a portion of the media files included in the first set of media files and the second set of media files that have not been determined to be the duplicate media files. 2. The one or more computer-storage media of claim 1 , wherein the media files are videos. | 0.900442 |
7,979,384 | 17 | 19 | 17. A method for processing queries, comprising the computer-implemented steps of: a database server receiving a query that evaluates to a relation, wherein said query comprises: a first one or more clauses; and a model clause, wherein said model clause comprises: a rule that comprises a left-side expression and a right-side expression, wherein said right-side expression includes a window function; and one or more dimension columns that correspond to columns of said relation, wherein said left-side expression references a set of said one or more dimension columns; wherein said window function specifies a set of columns over which said window function is to be evaluated, wherein said set of columns corresponds to columns of said relation; said database server executing said query to generate said relation, wherein said database server executing said query comprises: producing a first set of rows, wherein each row in said first set of rows includes only: said set of columns that is specified by said window function, and said set of said one or more dimension columns that is referenced by said left-side expression; evaluating said window function based on said first set of rows; wherein the steps of the method are performed by one or more computer systems. | 17. A method for processing queries, comprising the computer-implemented steps of: a database server receiving a query that evaluates to a relation, wherein said query comprises: a first one or more clauses; and a model clause, wherein said model clause comprises: a rule that comprises a left-side expression and a right-side expression, wherein said right-side expression includes a window function; and one or more dimension columns that correspond to columns of said relation, wherein said left-side expression references a set of said one or more dimension columns; wherein said window function specifies a set of columns over which said window function is to be evaluated, wherein said set of columns corresponds to columns of said relation; said database server executing said query to generate said relation, wherein said database server executing said query comprises: producing a first set of rows, wherein each row in said first set of rows includes only: said set of columns that is specified by said window function, and said set of said one or more dimension columns that is referenced by said left-side expression; evaluating said window function based on said first set of rows; wherein the steps of the method are performed by one or more computer systems. 19. The method of claim 17 , wherein: said left-side expression of said rule identifies one or more cells in a second set of rows, wherein said second set of rows is included in said relation; said window function specifies one or more partition columns by which to partition said second set of rows into partitions; and said step of said database server executing said query comprises: based on said left-side expression, determining said second set of rows in said relation; and based on said one or more partition columns, partitioning said second set of rows into one or more subsets of rows; said step of producing said first set of rows comprises producing said first set of rows based on at least one of said one or more subsets of rows. | 0.816115 |
9,569,416 | 9 | 10 | 9. A method for displaying at least one annotation linked to at least one field of a graphical user interface or at least one data object in a networked computer system where a plurality of independent entities access the networked computer system, the method comprising steps performed on at least one processor comprising: updating the graphical user interface or data object, wherein the at least one annotation comprises information regarding the update; transmitting the updated graphical user interface or data object to a workstation of at least one entity of the plurality of independent entities of the networked computer system to be displayed on the display of the workstation; recognizing the at least one entity of the plurality of independent entities to which the graphical user interface is transmitted; recognizing the at least one field of the graphical user interface or the at least one data object to be displayed has at least one annotation linked to both the at least one entity of the plurality of independent entities and the at least one field or at least one data object; fetching the at least one annotation linked to the at least one entity and the at least one field or at least one data object; and transmitting the at least one annotation linked to the recognized entity to the workstation, wherein the at least one annotation may be displayed on the display of the at least one workstation or stored in a memory of the at least one workstation for display, wherein the transmitting of the updated graphical user interface or the data object includes transmitting indicia that the at least one field of the displayed graphical user interface has at least one annotation linked to the at least one field or data object, wherein the at least one annotation is transmitted to only the recognized at least one entity of the plurality of entities. | 9. A method for displaying at least one annotation linked to at least one field of a graphical user interface or at least one data object in a networked computer system where a plurality of independent entities access the networked computer system, the method comprising steps performed on at least one processor comprising: updating the graphical user interface or data object, wherein the at least one annotation comprises information regarding the update; transmitting the updated graphical user interface or data object to a workstation of at least one entity of the plurality of independent entities of the networked computer system to be displayed on the display of the workstation; recognizing the at least one entity of the plurality of independent entities to which the graphical user interface is transmitted; recognizing the at least one field of the graphical user interface or the at least one data object to be displayed has at least one annotation linked to both the at least one entity of the plurality of independent entities and the at least one field or at least one data object; fetching the at least one annotation linked to the at least one entity and the at least one field or at least one data object; and transmitting the at least one annotation linked to the recognized entity to the workstation, wherein the at least one annotation may be displayed on the display of the at least one workstation or stored in a memory of the at least one workstation for display, wherein the transmitting of the updated graphical user interface or the data object includes transmitting indicia that the at least one field of the displayed graphical user interface has at least one annotation linked to the at least one field or data object, wherein the at least one annotation is transmitted to only the recognized at least one entity of the plurality of entities. 10. The method of claim 9 wherein the recognizing step further comprises recognizing a type of annotation linked to the at least one field, where the type of annotation is selected from a group of annotation types consisting of: text, image, audio, video, audio/video, or a combination thereof. | 0.83045 |
8,661,034 | 9 | 10 | 9. The method in accordance with claim 8 , wherein the step of verifying the qualifications by utilizing logic to objectively score the depth and the frequency of the user's activity related to the topic area is based on values assigned to the user's interactions with other peers and expert analysts. | 9. The method in accordance with claim 8 , wherein the step of verifying the qualifications by utilizing logic to objectively score the depth and the frequency of the user's activity related to the topic area is based on values assigned to the user's interactions with other peers and expert analysts. 10. The method in accordance with claim 9 , wherein the step of verifying the qualifications by utilizing logic to objectively score the depth and the frequency of the user's activity produces a positive bias towards users with higher quality interactions with their peers and expert analysts in a given subject matter. | 0.928539 |
8,949,108 | 1 | 6 | 1. An electronic document processing method, comprising steps of: acquiring an electronic template comprising a set of semantic items, wherein (i) candidate values of the set of semantic items and relations among a plurality of semantic items in the set of semantic items are associated with one or more electronic semantic codes, and (ii) the electronic template is associated with a natural language expression mode; receiving an electronic input value for at least one semantic item in the set of semantic items, wherein the electronic input value comprises one or more constituent values; generating a first electronic document comprising (i) a first set of electronic semantic codes corresponding to the electronic input value, (ii) the relations among the plurality of semantic items, and (iii) a second set of electronic semantic codes corresponding to the relations among the plurality of semantic items; and generating, based on the electronic input value and based on the natural language electronic expression mode, a second electronic document comprising the electronic input value. | 1. An electronic document processing method, comprising steps of: acquiring an electronic template comprising a set of semantic items, wherein (i) candidate values of the set of semantic items and relations among a plurality of semantic items in the set of semantic items are associated with one or more electronic semantic codes, and (ii) the electronic template is associated with a natural language expression mode; receiving an electronic input value for at least one semantic item in the set of semantic items, wherein the electronic input value comprises one or more constituent values; generating a first electronic document comprising (i) a first set of electronic semantic codes corresponding to the electronic input value, (ii) the relations among the plurality of semantic items, and (iii) a second set of electronic semantic codes corresponding to the relations among the plurality of semantic items; and generating, based on the electronic input value and based on the natural language electronic expression mode, a second electronic document comprising the electronic input value. 6. The method of claim 1 , wherein acquiring the electronic template comprises constructing the electronic template according to a natural language pattern. | 0.916844 |
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