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7,880,730 | 31 | 33 | 31. The system of claim 22 , wherein objects are determined by a context which comprises any of: immediately preceding or following words, formality of a writing style chosen by the user in current text or habitually; and the type of input field or application. | 31. The system of claim 22 , wherein objects are determined by a context which comprises any of: immediately preceding or following words, formality of a writing style chosen by the user in current text or habitually; and the type of input field or application. 33. The system of claim 31 , wherein specific vocabularies are supplied to the system by said input field or application for use in a current context. | 0.972046 |
10,007,867 | 1 | 2 | 1. A computer-implemented method comprising: identifying, by one or more computing devices and from a plurality of images, one or more images that depict an entity; determining, by the one or more computing devices, location information associated with the one or more images that depict the entity; identifying, by the one or more computing devices and based at least in part on the location information associated with the one or more images that depict the entity, one or more candidate entity profiles from an entity directory; providing, by the one or more computing devices, the one or more images that depict the entity and the one or more candidate entity profiles as input to a machine learning model comprising a neural network and at least one recurrent neural network, the neural network comprising a deep convolutional neural network (CNN), the at least one recurrent neural network comprising a long short-term memory network (LSTM), the CNN being configured to receive data indicative of the one or more images that depict the entity, extract features from the one or more images that depict the entity, and provide data indicative of the extracted features to the LSTM, the LSTM being configured to receive data indicative of the one or more candidate entity profiles, obtain text-related information from the one or more candidate entity profiles, and model at least a portion of structured information from a candidate entity profile as a sequence of characters, such that a match score between the extracted features and data from the candidate entity profile can be determined; generating, by the one or more computing devices, one or more outputs of the machine learning model, each output comprising a match score associated with at least one candidate entity profile and an image that depicts the entity; and updating, by the one or more computing devices, the entity directory based at least in part on the one or more generated outputs of the machine learning model. | 1. A computer-implemented method comprising: identifying, by one or more computing devices and from a plurality of images, one or more images that depict an entity; determining, by the one or more computing devices, location information associated with the one or more images that depict the entity; identifying, by the one or more computing devices and based at least in part on the location information associated with the one or more images that depict the entity, one or more candidate entity profiles from an entity directory; providing, by the one or more computing devices, the one or more images that depict the entity and the one or more candidate entity profiles as input to a machine learning model comprising a neural network and at least one recurrent neural network, the neural network comprising a deep convolutional neural network (CNN), the at least one recurrent neural network comprising a long short-term memory network (LSTM), the CNN being configured to receive data indicative of the one or more images that depict the entity, extract features from the one or more images that depict the entity, and provide data indicative of the extracted features to the LSTM, the LSTM being configured to receive data indicative of the one or more candidate entity profiles, obtain text-related information from the one or more candidate entity profiles, and model at least a portion of structured information from a candidate entity profile as a sequence of characters, such that a match score between the extracted features and data from the candidate entity profile can be determined; generating, by the one or more computing devices, one or more outputs of the machine learning model, each output comprising a match score associated with at least one candidate entity profile and an image that depicts the entity; and updating, by the one or more computing devices, the entity directory based at least in part on the one or more generated outputs of the machine learning model. 2. The computer-implemented method of claim 1 , further comprising: receiving, by the one or more computing devices, from a user device, data indicative of a user request to access information associated with the entity; and providing, by the one or more computing devices, the requested information to the user device based at least in part on the updated entity directory. | 0.624498 |
8,566,358 | 10 | 11 | 10. The system of claim 9 , further comprising: program instructions for automatically populating data of the automatically generated topic maps utilizing information parsed from applicable ones of the plurality of model assets and from the industry model. | 10. The system of claim 9 , further comprising: program instructions for automatically populating data of the automatically generated topic maps utilizing information parsed from applicable ones of the plurality of model assets and from the industry model. 11. The system of claim 10 , wherein the automatically generated and populated topic maps are stored in a second layer of abstraction utilized for semantically searching the model assets. | 0.93331 |
8,131,744 | 2 | 3 | 2. The method of claim 1 , wherein generating, from the intermediate representation, the resolved query of the database, comprises generating an SQL query, and wherein the database is a relational database. | 2. The method of claim 1 , wherein generating, from the intermediate representation, the resolved query of the database, comprises generating an SQL query, and wherein the database is a relational database. 3. The method of claim 2 , further comprising: detecting, prior to executing the resolved query against the relational database, whether the resolved query would produce a Cartesian product in the first set of query results; and, if detected, presenting a user with an indication that the resolved query will produce a Cartesian product if issued against the relational database. | 0.871088 |
8,407,580 | 1 | 12 | 1. A method for presenting information, the method comprising the acts of: presenting an input expression on a workspace associated with a computational software application; presenting on the workspace a result that is an evaluation of the input expression by the computational software application, while presenting on the workspace the input expression; presenting on the workspace a first user interface mechanism associated with the input expression, while presenting on the workspace the result; hiding on the workspace the input expression, while presenting on the workspace the result, in response to an activation of the first user interface mechanism, wherein hiding the input expression reduces the size of the workspace as compared to when both the input expression and the result are presented on the workspace; presenting on the workspace a second user interface mechanism associated with the input expression; and presenting on the workspace the input expression in response to an activation of the second user interface mechanism, while presenting on the workspace the result. | 1. A method for presenting information, the method comprising the acts of: presenting an input expression on a workspace associated with a computational software application; presenting on the workspace a result that is an evaluation of the input expression by the computational software application, while presenting on the workspace the input expression; presenting on the workspace a first user interface mechanism associated with the input expression, while presenting on the workspace the result; hiding on the workspace the input expression, while presenting on the workspace the result, in response to an activation of the first user interface mechanism, wherein hiding the input expression reduces the size of the workspace as compared to when both the input expression and the result are presented on the workspace; presenting on the workspace a second user interface mechanism associated with the input expression; and presenting on the workspace the input expression in response to an activation of the second user interface mechanism, while presenting on the workspace the result. 12. The method according to claim 1 , wherein the input expression is a symbolic expression. | 0.9271 |
7,840,512 | 1 | 6 | 1. A method for use of a medical ontology for computer assisted clinical decision support, the method comprising: identifying, with a processor, a plurality of associated terms from a medical ontology, the associated terms including associated drugs; generating, with the processor, a domain-knowledge base from the associated terms, including the associated drugs; and mining a medical record as a function of the domain-knowledge base, the mining including mining for the associated drugs. | 1. A method for use of a medical ontology for computer assisted clinical decision support, the method comprising: identifying, with a processor, a plurality of associated terms from a medical ontology, the associated terms including associated drugs; generating, with the processor, a domain-knowledge base from the associated terms, including the associated drugs; and mining a medical record as a function of the domain-knowledge base, the mining including mining for the associated drugs. 6. The method of claim 1 wherein generating comprises assigning a variable to each of the associated terms. | 0.873522 |
8,832,088 | 1 | 2 | 1. A computer-implemented method comprising: receiving a search result obtained in response to a query, wherein the search result identifies a resource and has an associated score S; computing a recent impression probability for the query for a recent time period and an overall impression probability for the query for an overall time period, wherein each impression probability corresponds to a ratio of (i) a count of search result impressions selected by users to (ii) a count of all search result impressions presented to users in the respective time periods, wherein the search result impressions were impressions provided in response to the query by a search engine during the respective time period, and wherein the overall time period is a time period that began before the recent time period and is longer than the recent time period; computing a QtoA ratio of the recent impression probability to the overall impression probability; determining that users prefer newer resources over older resources for the query based on the QtoA ratio; determining that the resource is a new resource; and associating a new score S′ with the resource in place of S, wherein the new score S′ signifies a better result than the score S signifies, based on determining, that users prefer newer resources over older resources for the query and that the resource is a new resource. | 1. A computer-implemented method comprising: receiving a search result obtained in response to a query, wherein the search result identifies a resource and has an associated score S; computing a recent impression probability for the query for a recent time period and an overall impression probability for the query for an overall time period, wherein each impression probability corresponds to a ratio of (i) a count of search result impressions selected by users to (ii) a count of all search result impressions presented to users in the respective time periods, wherein the search result impressions were impressions provided in response to the query by a search engine during the respective time period, and wherein the overall time period is a time period that began before the recent time period and is longer than the recent time period; computing a QtoA ratio of the recent impression probability to the overall impression probability; determining that users prefer newer resources over older resources for the query based on the QtoA ratio; determining that the resource is a new resource; and associating a new score S′ with the resource in place of S, wherein the new score S′ signifies a better result than the score S signifies, based on determining, that users prefer newer resources over older resources for the query and that the resource is a new resource. 2. The method of claim 1 , wherein the overall time period includes the recent time period. | 0.928346 |
9,356,889 | 3 | 4 | 3. The method according to claim 2 , wherein computing the sender relevance score further comprises identifying topics that match one or more characteristics of the sender of the email message. | 3. The method according to claim 2 , wherein computing the sender relevance score further comprises identifying topics that match one or more characteristics of the sender of the email message. 4. The method according to claim 3 , wherein the one or more characteristics of the sender are derived from behavioral data of the sender taken in connection with the corpus of emails. | 0.946073 |
10,007,662 | 57 | 63 | 57. The method of claim 56 , further comprising the step of generating the dual SSM Matrix (D(S″, S′)) from the first sequence (S′) and the second sequence (S″). | 57. The method of claim 56 , further comprising the step of generating the dual SSM Matrix (D(S″, S′)) from the first sequence (S′) and the second sequence (S″). 63. The method of claim 57 , further comprising the step of converting the input sequence to a spike-based representation of the input sequence, and wherein the step of generating the dual SSM Matrix (D(S″, S′)) from the first sequence (S′) and the second sequence (S″), comprises the step of generating the dual SSM Matrix (D(S″, S′)) from the spike-based representation of the first sequence (S′) and a spike based representation of the second sequence (S″). | 0.848684 |
7,613,995 | 1 | 7 | 1. One or more computer readable media having stored thereon a plurality of instructions that, when executed by one or more processors of a device, causes the one or more processors to: receive a query including one or more search terms; rank a plurality of blocks based on how well the plurality of blocks matches the one or more search terms, wherein each of the plurality of blocks is part of one document of a plurality of documents, and wherein each of the plurality of blocks is obtained by visual segmentation of one of the plurality of documents; ranking the blocks according to the location of the one or more search terms in the block and how frequently the one or more search terms occur in the block; for each of the plurality of documents, rank the document based at least in part on the rankings of the blocks that are part of the document; and return, in response to the query, an indication of the rankings of one or more of the plurality of documents. | 1. One or more computer readable media having stored thereon a plurality of instructions that, when executed by one or more processors of a device, causes the one or more processors to: receive a query including one or more search terms; rank a plurality of blocks based on how well the plurality of blocks matches the one or more search terms, wherein each of the plurality of blocks is part of one document of a plurality of documents, and wherein each of the plurality of blocks is obtained by visual segmentation of one of the plurality of documents; ranking the blocks according to the location of the one or more search terms in the block and how frequently the one or more search terms occur in the block; for each of the plurality of documents, rank the document based at least in part on the rankings of the blocks that are part of the document; and return, in response to the query, an indication of the rankings of one or more of the plurality of documents. 7. One or more computer readable media as recited in claim 1 , wherein the instructions that cause the one or more processors to rank the document comprise instructions that cause the one or more processors to: rank only those blocks that include two or more search terms. | 0.793313 |
8,452,772 | 38 | 39 | 38. A computer implemented method, comprising: a computer identifying a pertinent trend in conversations of a target forum; the computer identifying or creating one or more content items that match the pertinent trend and a presentation requirement for the one or more content items; the computer parsing at least some of the one or more content items, parsing the at least some of the one or more content items comprising: providing vocabulary support by using a set of lexemes, describing at least a part of the plurality of existing content items by using one or more syntaxes, one or more principles, or one or more rules determined from a syntax analysis, determining or identifying semantic information or meanings for the at least the part of the plurality of existing content items by using generative or interpretative semantics, and determining or identifying an understanding of the at least the part of the plurality of existing content items by using one or more grammars; and the computer delivering at least some of the one or more content items to the target forum based at least in part upon the presentation requirement. | 38. A computer implemented method, comprising: a computer identifying a pertinent trend in conversations of a target forum; the computer identifying or creating one or more content items that match the pertinent trend and a presentation requirement for the one or more content items; the computer parsing at least some of the one or more content items, parsing the at least some of the one or more content items comprising: providing vocabulary support by using a set of lexemes, describing at least a part of the plurality of existing content items by using one or more syntaxes, one or more principles, or one or more rules determined from a syntax analysis, determining or identifying semantic information or meanings for the at least the part of the plurality of existing content items by using generative or interpretative semantics, and determining or identifying an understanding of the at least the part of the plurality of existing content items by using one or more grammars; and the computer delivering at least some of the one or more content items to the target forum based at least in part upon the presentation requirement. 39. The computer implemented method of claim 38 , parsing the at least some of the one or more content items comprising performing natural language processing on the at least some of the one or more content items. | 0.903445 |
9,529,908 | 12 | 16 | 12. A computer-implemented method for providing search results, the method comprising: receiving a search query comprising one or more terms; analyzing the search query to identify one or more atoms from the one or more terms; querying a search index using the one or more atoms identified from the search query, wherein the search index comprises a plurality of postings lists, each posting list corresponding with an atom and including a plurality of postings, wherein each posting within a given posting list corresponding with an atom identifies a document containing the atom and a rank representing a significance of the atom for the document, wherein at least one posting list is divided into a plurality of tiers ordered based on rank, and wherein querying the search index comprises determining whether to perform additional processing, to identify a plurality of documents, based on comparing a combined rank of a first set of documents identified after a first tier with a calculated combined rank of the first set of documents of the first tier and one or more documents of at least a second tier; identifying a plurality of documents from querying the search index based on the plurality of tiers ordered based on rank and the postings within each of the plurality of tiers; and providing a plurality of search results for presentation to an end user based on the plurality of documents identified by querying the search index. | 12. A computer-implemented method for providing search results, the method comprising: receiving a search query comprising one or more terms; analyzing the search query to identify one or more atoms from the one or more terms; querying a search index using the one or more atoms identified from the search query, wherein the search index comprises a plurality of postings lists, each posting list corresponding with an atom and including a plurality of postings, wherein each posting within a given posting list corresponding with an atom identifies a document containing the atom and a rank representing a significance of the atom for the document, wherein at least one posting list is divided into a plurality of tiers ordered based on rank, and wherein querying the search index comprises determining whether to perform additional processing, to identify a plurality of documents, based on comparing a combined rank of a first set of documents identified after a first tier with a calculated combined rank of the first set of documents of the first tier and one or more documents of at least a second tier; identifying a plurality of documents from querying the search index based on the plurality of tiers ordered based on rank and the postings within each of the plurality of tiers; and providing a plurality of search results for presentation to an end user based on the plurality of documents identified by querying the search index. 16. The computer-implemented method of claim 12 , wherein querying the search index comprises: determining that two or more atoms are identified from the search query; identifying posting lists corresponding with the two or more atoms; merging a first level of tiers of the posting lists to obtain a set of ranked documents; determining to perform analysis of additional combinations of levels of tiers of the posting lists; merging a combination of a next level of tiers of the posting lists to update the set of ranked documents; and providing a set of search results updated from the set of ranked documents. | 0.500817 |
9,565,521 | 1 | 9 | 1. A method comprising: recognizing an activity performed at a first place based on sensor data of an electronic device, wherein the first place comprises an unlabeled semantic place without an assigned semantic place label; determining a location for the first place by performing localization for the electronic device; determining an observed mapping between the activity and the location for the first place; determining a typical mapping between the activity and a second place, wherein the second place comprises a labeled semantic place with an assigned semantic place label; based on the observed mapping and the typical mapping, assigning the same sematic place label assigned to the labeled semantic place to the location for the first place; and updating a semantic place map to include the semantic place label assigned to the location for the first place. | 1. A method comprising: recognizing an activity performed at a first place based on sensor data of an electronic device, wherein the first place comprises an unlabeled semantic place without an assigned semantic place label; determining a location for the first place by performing localization for the electronic device; determining an observed mapping between the activity and the location for the first place; determining a typical mapping between the activity and a second place, wherein the second place comprises a labeled semantic place with an assigned semantic place label; based on the observed mapping and the typical mapping, assigning the same sematic place label assigned to the labeled semantic place to the location for the first place; and updating a semantic place map to include the semantic place label assigned to the location for the first place. 9. The method of claim 1 , further comprising: determining a current location of the electronic device; and reducing energy consumption based on the current location of the electronic device and the activity, wherein the reducing comprises at least one of: turning off an appliance in a different location or adjusting a setting for a device. | 0.709677 |
9,892,156 | 1 | 5 | 1. A method comprising: tracking activity with respect to a first query result of a first query and a second query result of a second query, the activity being performed by users of a network publication system; counting, from the tracked activity, a number of search events corresponding to users that viewed the second query result subsequent to the first query result and performed post search activity on the second query result; determining, using one or more processors, that the counted number of search events that corresponds to users that viewed the second query result subsequent to the first query result and performed post search activity on the second query result exceeds a predefined threshold; counting a further number of search events corresponding to users that viewed a third query result after the first query result and performed post search activity on the third query result, the third query result presented in response to a third query; determining that the further number of search events exceeds the counted number of search events; designating the third query as a recommended query for the first query; receiving the first query from a client device of a subsequent user; based on receiving the first query from the client device, providing a first set of results to the client device to be displayed in a first widget of a web interface; and based on the number of search events exceeding the predefined threshold and receiving the first query, recommending the second query within a second widget of the web interface; wherein the web interface is customizable by the subsequent user regarding visibility of the first widget and the second widget. | 1. A method comprising: tracking activity with respect to a first query result of a first query and a second query result of a second query, the activity being performed by users of a network publication system; counting, from the tracked activity, a number of search events corresponding to users that viewed the second query result subsequent to the first query result and performed post search activity on the second query result; determining, using one or more processors, that the counted number of search events that corresponds to users that viewed the second query result subsequent to the first query result and performed post search activity on the second query result exceeds a predefined threshold; counting a further number of search events corresponding to users that viewed a third query result after the first query result and performed post search activity on the third query result, the third query result presented in response to a third query; determining that the further number of search events exceeds the counted number of search events; designating the third query as a recommended query for the first query; receiving the first query from a client device of a subsequent user; based on receiving the first query from the client device, providing a first set of results to the client device to be displayed in a first widget of a web interface; and based on the number of search events exceeding the predefined threshold and receiving the first query, recommending the second query within a second widget of the web interface; wherein the web interface is customizable by the subsequent user regarding visibility of the first widget and the second widget. 5. The method of claim 1 , wherein the recommending the second query includes causing display of the second query in a search user interface on the client device. | 0.8357 |
5,404,510 | 28 | 31 | 28. A method as claimed in claim 1 further comprising the step of establishing cluster groups including tables and indexes. | 28. A method as claimed in claim 1 further comprising the step of establishing cluster groups including tables and indexes. 31. A method as claimed in claim 28 further comprising assigning clusters to a plurality of devices as a function of importance of data within the clusters. | 0.986019 |
7,542,029 | 24 | 25 | 24. A text input and editing apparatus comprising: one or more input devices which detect one or more input actions of a user to generate and edit text; an output device on which generated text is presented to a user; and a processor coupled to the input device, and the output device, the processor comprising: a first component for recording the location of a text insertion position where a next generated textual object will be output; a second component for detecting a distinctive input action identify one or more of said textual objects previously output to said output device; a third component for identifying one or more of said textual objects previously output based on the detected distinctive input action; a fourth component for determining one or more alternate textual objects that correspond to said one or more detected input actions from which said identified one or more textual objects was previously determined; a fifth component for replacing said identified previously output one or more textual objects with one or more of said determined alternate textual objects; and a sixth component for restoring said text insertion position to a location recorded prior to said detecting of said distinctive input action. | 24. A text input and editing apparatus comprising: one or more input devices which detect one or more input actions of a user to generate and edit text; an output device on which generated text is presented to a user; and a processor coupled to the input device, and the output device, the processor comprising: a first component for recording the location of a text insertion position where a next generated textual object will be output; a second component for detecting a distinctive input action identify one or more of said textual objects previously output to said output device; a third component for identifying one or more of said textual objects previously output based on the detected distinctive input action; a fourth component for determining one or more alternate textual objects that correspond to said one or more detected input actions from which said identified one or more textual objects was previously determined; a fifth component for replacing said identified previously output one or more textual objects with one or more of said determined alternate textual objects; and a sixth component for restoring said text insertion position to a location recorded prior to said detecting of said distinctive input action. 25. The apparatus of claim 24 , wherein said processor further comprises: a seventh component for presenting one or more of said determined one or more alternate textual objects on said output device to the user for selection of one of the presented textual objects for replacing said identified previously output one or more textual objects. | 0.734472 |
9,928,291 | 15 | 16 | 15. A computing system for assigning publications to authors, the system comprising: one or more processors; and a memory comprising instructions which, when executed by the one or more processors, cause the one or more processors to perform operations comprising: for each of a plurality of publications, generating an author-name-mention data structure for each author name listed on the publication, the author-name-mention data structure comprising at least an identifier of the publication and the listed author name; associating, with each of the author-name-mention data structures, a feature set derived from the publication identified in the author-name-mention data structure; automatically clustering the author-name-mention data structures, at least in part based on comparison between the feature sets, to form a plurality of clusters each representing a disambiguated cluster author and containing one or more publications within the cluster; for a selected individual, searching one or more databases to identify social contacts of the selected individual; searching the one or more databases to automatically identify, among unassigned ones of the plurality of clusters and a plurality of author identities uniquely representing the selected individual's social contacts within the computing system, pairs of a cluster and an author identity name-compatible with the disambiguated cluster author of the cluster; and searching the one or more databases to detect, for at least one of the pairs of a cluster and a name-compatible author identity, at least one publication within the cluster that is at least one of co-authored by the selected individual or cited in a publication authored or co-authored by the selected individual, suggesting the at least one pair of a cluster and a name-compatible author identity representing one of the selected individual's social contacts as a candidate match to the selected individual with a request for confirmation that the social contact represented by the author identity is the disambiguated cluster author of the cluster, and, following receipt of the requested confirmation, assigning the cluster to the name-compatible author identity based at least in part on the confirmation. | 15. A computing system for assigning publications to authors, the system comprising: one or more processors; and a memory comprising instructions which, when executed by the one or more processors, cause the one or more processors to perform operations comprising: for each of a plurality of publications, generating an author-name-mention data structure for each author name listed on the publication, the author-name-mention data structure comprising at least an identifier of the publication and the listed author name; associating, with each of the author-name-mention data structures, a feature set derived from the publication identified in the author-name-mention data structure; automatically clustering the author-name-mention data structures, at least in part based on comparison between the feature sets, to form a plurality of clusters each representing a disambiguated cluster author and containing one or more publications within the cluster; for a selected individual, searching one or more databases to identify social contacts of the selected individual; searching the one or more databases to automatically identify, among unassigned ones of the plurality of clusters and a plurality of author identities uniquely representing the selected individual's social contacts within the computing system, pairs of a cluster and an author identity name-compatible with the disambiguated cluster author of the cluster; and searching the one or more databases to detect, for at least one of the pairs of a cluster and a name-compatible author identity, at least one publication within the cluster that is at least one of co-authored by the selected individual or cited in a publication authored or co-authored by the selected individual, suggesting the at least one pair of a cluster and a name-compatible author identity representing one of the selected individual's social contacts as a candidate match to the selected individual with a request for confirmation that the social contact represented by the author identity is the disambiguated cluster author of the cluster, and, following receipt of the requested confirmation, assigning the cluster to the name-compatible author identity based at least in part on the confirmation. 16. The system of claim 15 , wherein the operations further comprise, following the detecting, comparing a feature set associated with the cluster to one or more features sets of one or more other clusters previously assigned to the name-compatible author identity to compute one or more respective feature-similarity scores, wherein the cluster is assigned to the name-compatible author identity further based at least in part on the one or more feature-similarity scores. | 0.501055 |
8,225,356 | 1 | 3 | 1. A method of operating a media control system comprising: detecting a first numeric user input from a remote control, wherein the first numeric user input is defined by an amount of time that the first numeric user input is pressed; determining that the first numeric user input corresponds to a first numeral when the amount of pressed time of the first numeric user input is less than a predetermined amount of time; determining that the first numeric user input corresponds to a first set of alphabetic letters when the amount of pressed time of the first numeric user input is at least equal to the predetermined amount of time, and wherein in response to determining that the first numeric user input corresponds to the first set of alphabetic letters, the method further comprises: processing the first numeric user input to identify the first set of alphabetic letters; selecting a first plurality of media channel names based on the identified first set of alphabetic letters, wherein each of the first plurality of media channel names begins with a first alphabetic letter corresponding to one of the alphabetic letters of the identified first set of alphabetic letters; and generating a first signal configured to drive a display, wherein the display presents the first plurality of media channel names on the display; the method further comprising: detecting a second numeric user input from the remote control after detecting the first numeric user input, where in response to the determining the first numeric user input corresponding to the first set of alphabetic letters, determining that the second numeric user input corresponds to a second set of alphabetic letters and does not correspond to a second numeral associated with the second set of alphabetic letters; processing the second numeric user input to identify the second set of alphabetic letters associated with the second numeric user input; selecting a second plurality of media channel names from the first plurality of media channel names, wherein the selecting the second plurality of media channel names is based on a second alphabetic letter of each of the first plurality of media channel names, and wherein each of the second plurality of media channel names has the first alphabetic letter corresponding to one of the alphabetic letters of the identified first set of alphabetic letters followed by a second alphabetic letter corresponding to one of the alphabetic letters of the second set of alphabetic letters; and generating a second signal configured to drive a second display, wherein the second display presents the second plurality of media channel names. | 1. A method of operating a media control system comprising: detecting a first numeric user input from a remote control, wherein the first numeric user input is defined by an amount of time that the first numeric user input is pressed; determining that the first numeric user input corresponds to a first numeral when the amount of pressed time of the first numeric user input is less than a predetermined amount of time; determining that the first numeric user input corresponds to a first set of alphabetic letters when the amount of pressed time of the first numeric user input is at least equal to the predetermined amount of time, and wherein in response to determining that the first numeric user input corresponds to the first set of alphabetic letters, the method further comprises: processing the first numeric user input to identify the first set of alphabetic letters; selecting a first plurality of media channel names based on the identified first set of alphabetic letters, wherein each of the first plurality of media channel names begins with a first alphabetic letter corresponding to one of the alphabetic letters of the identified first set of alphabetic letters; and generating a first signal configured to drive a display, wherein the display presents the first plurality of media channel names on the display; the method further comprising: detecting a second numeric user input from the remote control after detecting the first numeric user input, where in response to the determining the first numeric user input corresponding to the first set of alphabetic letters, determining that the second numeric user input corresponds to a second set of alphabetic letters and does not correspond to a second numeral associated with the second set of alphabetic letters; processing the second numeric user input to identify the second set of alphabetic letters associated with the second numeric user input; selecting a second plurality of media channel names from the first plurality of media channel names, wherein the selecting the second plurality of media channel names is based on a second alphabetic letter of each of the first plurality of media channel names, and wherein each of the second plurality of media channel names has the first alphabetic letter corresponding to one of the alphabetic letters of the identified first set of alphabetic letters followed by a second alphabetic letter corresponding to one of the alphabetic letters of the second set of alphabetic letters; and generating a second signal configured to drive a second display, wherein the second display presents the second plurality of media channel names. 3. The method of claim 1 , wherein processing the second numeric user input to identify the second plurality of media channel names comprises processing a second additional numeric user input to identify an additional set of alphabetic letters and eliminating at least one of the first plurality of media channel names based on the additional set of alphabetic letters, wherein the eliminated media channel name has another alphabetic letter that is different from one of the alphabetic letters of the additional set of alphabetic letters. | 0.508212 |
7,949,941 | 1 | 18 | 1. A method comprising: receiving a request to transform a set of one or more XML documents based at least in part on an XSLT stylesheet that includes calls to one or more transformation templates, wherein each transformation template specifies how to transform one or more nodes, wherein the one or more nodes include a first node and a descendant node of the first node, wherein the calls to the one or more transformation templates, if evaluated based on the XSLT stylesheet, would use an XSLT template matching process to associate the descendant node in the set of one or more XML documents with a transformation template; determining, based at least in part on a structural description that constrains the set of one or more XML documents to a hierarchy of nodes that may be present in the set of one or more XML documents, which one or more transformation templates to use to transform the set of one or more XML documents, wherein the hierarchy of nodes includes the first node and the descendant node; and converting the calls in the XSLT stylesheet that would use the one or more transformation templates into calls to one or more XQuery user-defined functions, and including the calls to the one or more XQuery user-defined functions in a set of one or more XQuery language expressions; wherein the calls to the one or more XQuery user-defined functions do not use the XSLT template matching process; wherein the method is performed by one or more computing devices. | 1. A method comprising: receiving a request to transform a set of one or more XML documents based at least in part on an XSLT stylesheet that includes calls to one or more transformation templates, wherein each transformation template specifies how to transform one or more nodes, wherein the one or more nodes include a first node and a descendant node of the first node, wherein the calls to the one or more transformation templates, if evaluated based on the XSLT stylesheet, would use an XSLT template matching process to associate the descendant node in the set of one or more XML documents with a transformation template; determining, based at least in part on a structural description that constrains the set of one or more XML documents to a hierarchy of nodes that may be present in the set of one or more XML documents, which one or more transformation templates to use to transform the set of one or more XML documents, wherein the hierarchy of nodes includes the first node and the descendant node; and converting the calls in the XSLT stylesheet that would use the one or more transformation templates into calls to one or more XQuery user-defined functions, and including the calls to the one or more XQuery user-defined functions in a set of one or more XQuery language expressions; wherein the calls to the one or more XQuery user-defined functions do not use the XSLT template matching process; wherein the method is performed by one or more computing devices. 18. The method of claim 1 , wherein translating the XSLT stylesheet into the set of one or more XQuery language expressions includes: translating an “xsl:processing-instruction” instruction into an XQuery processing instruction constructor. | 0.878788 |
8,086,960 | 21 | 22 | 21. The system of claim 19 , wherein the action user interface element is useable to perform a request for an action associated with the comment. | 21. The system of claim 19 , wherein the action user interface element is useable to perform a request for an action associated with the comment. 22. The system of claim 21 , wherein the action user interface element is useable to perform a request to view the comment. | 0.952363 |
7,877,254 | 6 | 7 | 6. A method for verification of speaker authentication, comprising: extracting an acoustic feature vector sequence from an incoming utterance; and determining whether the incoming utterance is an utterance of enrolled password spoken by the speaker, based on a speaker template and the extracted acoustic feature vector sequence; wherein the speaker template is generated by using the method for enrollment of speaker authentication according to claim 1 or claim 2 ; and wherein said step of extracting a acoustic feature vector sequence from an incoming utterance comprises: filtering the spectrum of the incoming utterance by using the filter-bank generated for the enrollment utterance of the speaker during enrollment; and generating the acoustic feature vector sequence from the filtered incoming utterance wherein the filter-bank includes line spectrum pairs of the enrollment utterance of the speaker generated during the enrollment. | 6. A method for verification of speaker authentication, comprising: extracting an acoustic feature vector sequence from an incoming utterance; and determining whether the incoming utterance is an utterance of enrolled password spoken by the speaker, based on a speaker template and the extracted acoustic feature vector sequence; wherein the speaker template is generated by using the method for enrollment of speaker authentication according to claim 1 or claim 2 ; and wherein said step of extracting a acoustic feature vector sequence from an incoming utterance comprises: filtering the spectrum of the incoming utterance by using the filter-bank generated for the enrollment utterance of the speaker during enrollment; and generating the acoustic feature vector sequence from the filtered incoming utterance wherein the filter-bank includes line spectrum pairs of the enrollment utterance of the speaker generated during the enrollment. 7. The method for verification of speaker authentication according to claim 6 , wherein said step of filtering the spectrum of the incoming utterance comprises: fast-Fourier transforming each frame in the incoming utterance to obtain a frame-spectrum of each frame in the incoming utterance; and filtering the frame-spectrum of each frame in the incoming utterance with the filter-bank generated for the enrollment utterance of the speaker during the enrollment. | 0.50108 |
7,814,044 | 1 | 14 | 1. A method for selectively obtaining information stored in a business warehouse, the method comprising: requesting, by a client from a server, a list of available data access services, the list of data access services being part of a library containing at least one data access service for each of a plurality of on-line analytical processing data access queries, the data access service being a service offered by the server to the client to provide access to an on-line analytical processing query performed at the server system through a service call to the data access service, the data access service having a predefined selection of input parameters to define a selection of data from the query and a predefined selection of a single output parameter to define output data to be provided as a result of the selection of the data from the query based on the input parameters, at least one of the data access services being built using a data access service designer, the data access service designer including an object tagger to attach semantic information to a service and its input and output parameters; invoking, by the client, a selected data access service from the list; and presenting, at the client, data within the business warehouse using the selected data access service via a data access service provider wrapping an existing business warehouse object type to expose its data as the data access service. | 1. A method for selectively obtaining information stored in a business warehouse, the method comprising: requesting, by a client from a server, a list of available data access services, the list of data access services being part of a library containing at least one data access service for each of a plurality of on-line analytical processing data access queries, the data access service being a service offered by the server to the client to provide access to an on-line analytical processing query performed at the server system through a service call to the data access service, the data access service having a predefined selection of input parameters to define a selection of data from the query and a predefined selection of a single output parameter to define output data to be provided as a result of the selection of the data from the query based on the input parameters, at least one of the data access services being built using a data access service designer, the data access service designer including an object tagger to attach semantic information to a service and its input and output parameters; invoking, by the client, a selected data access service from the list; and presenting, at the client, data within the business warehouse using the selected data access service via a data access service provider wrapping an existing business warehouse object type to expose its data as the data access service. 14. A method as in claim 1 , wherein the data access service designer provides a user interface for creating a changing a data access service. | 0.847312 |
7,644,400 | 1 | 2 | 1. A computer-implemented method of delivering customized content over a network to mobile devices, the method comprising: providing content in a generic markup language, the content in a generic markup language including tags used to translate the content, behavior of the tags extensible by a content developer for use in content translation based on an identified attribute of a requesting device, the content in the generic markup language convertible into content of multiple programming languages capable of being displayed on a mobile device; providing at least one registry containing device information for multiple types of mobile devices, the information including device attributes for each type of mobile device; providing a set of rules for translating of the content from the generic markup language into content displayable on the mobile device; receiving a request for the content from a mobile device interfaced with the network; identifying automatically without user input, based on the request, a type of device for the mobile device; retrieving device information for the identified type of device from the at least one registry; generating content for the mobile device by: converting the content in the generic markup language into a form of content displayable on the mobile device; applying at least one rule from the set of rules in combination with the device information from the at least one registry to generate content for the mobile device; customizing the converted content based upon at least one device attribute in the device information retrieved from the at least one registry, the customizing occurring programmatically without input from a user; and transmitting the generated content over the network to the mobile device. | 1. A computer-implemented method of delivering customized content over a network to mobile devices, the method comprising: providing content in a generic markup language, the content in a generic markup language including tags used to translate the content, behavior of the tags extensible by a content developer for use in content translation based on an identified attribute of a requesting device, the content in the generic markup language convertible into content of multiple programming languages capable of being displayed on a mobile device; providing at least one registry containing device information for multiple types of mobile devices, the information including device attributes for each type of mobile device; providing a set of rules for translating of the content from the generic markup language into content displayable on the mobile device; receiving a request for the content from a mobile device interfaced with the network; identifying automatically without user input, based on the request, a type of device for the mobile device; retrieving device information for the identified type of device from the at least one registry; generating content for the mobile device by: converting the content in the generic markup language into a form of content displayable on the mobile device; applying at least one rule from the set of rules in combination with the device information from the at least one registry to generate content for the mobile device; customizing the converted content based upon at least one device attribute in the device information retrieved from the at least one registry, the customizing occurring programmatically without input from a user; and transmitting the generated content over the network to the mobile device. 2. The method of claim 1 comprising the further step of: translating the content from an original programming language into the generic markup language prior to converting the content in the generic markup language into content displayable on the mobile device. | 0.595975 |
9,984,427 | 7 | 8 | 7. The method according to claim 1 , further comprising selecting, by the computer, one or more words in the plurality of raw data streams pertaining to the one or more events. | 7. The method according to claim 1 , further comprising selecting, by the computer, one or more words in the plurality of raw data streams pertaining to the one or more events. 8. The method according to claim 7 , further comprising assigning, by the computer, a weight to each of the one or more words. | 0.981813 |
10,096,023 | 19 | 24 | 19. A computer program product for using a unique token in an online transaction on a website involving sensitive information to control access to the sensitive information, the computer program product comprising a computer-readable storage embodying computer-readable program instructions that, when executed, cause a processor to: register at least one entity, the registering comprising associating the at least one entity with a subscription level; in response to receipt of the sensitive information from a merchant device, generate a unique token for use in place of the sensitive information, wherein the sensitive information comprises a character string stored as encrypted data; directly associate a sub-string of a character string with the unique token so that a direct association does not exist between the unique token and the character string, the character string comprising the sensitive information and the sub-string being configured to identify the character string without revealing the sensitive information; and access the character string stored as encrypted data in storage memory using the unique token and the sub-string to retrieve the sensitive information after transmission of a request for the sensitive information from a registered entity associated with a subscription level associated with a privilege to receive the requested sensitive information. | 19. A computer program product for using a unique token in an online transaction on a website involving sensitive information to control access to the sensitive information, the computer program product comprising a computer-readable storage embodying computer-readable program instructions that, when executed, cause a processor to: register at least one entity, the registering comprising associating the at least one entity with a subscription level; in response to receipt of the sensitive information from a merchant device, generate a unique token for use in place of the sensitive information, wherein the sensitive information comprises a character string stored as encrypted data; directly associate a sub-string of a character string with the unique token so that a direct association does not exist between the unique token and the character string, the character string comprising the sensitive information and the sub-string being configured to identify the character string without revealing the sensitive information; and access the character string stored as encrypted data in storage memory using the unique token and the sub-string to retrieve the sensitive information after transmission of a request for the sensitive information from a registered entity associated with a subscription level associated with a privilege to receive the requested sensitive information. 24. The computer program product of claim 19 , wherein the character string is stored as a record in a database that is remote from the storage memory. | 0.790859 |
9,619,210 | 15 | 17 | 15. A nontransitory computer readable medium having stored thereon software instructions that, when executed by one or more processors, cause the one or more processors to perform operations including: obtaining, at the one or more hardware processors, computer data system query language code from an electronic computer readable data storage; parsing, at the one or more hardware processors, the computer data system query language code to generate a computer data system query language parsed code structure; resolving, at the one or more hardware processors, a type of one or more columns represented in the parsed code structure based on a determined context of the one or more columns; inserting, at the one or more hardware processors, resolved types into the parsed code structure; generating, at the one or more hardware processors, computer programming language code from the computer data system query language parsed code structure; determining, at the one or more hardware processors, whether precompiled code corresponding to the generated computer programming language code is available in a precompiled code repository stored in the electronic computer readable data storage; when precompiled code is available in the precompiled code repository, loading, at the one or more hardware processors, the precompiled code; when precompiled code is not available in the precompiled code repository: compiling, at the one or more hardware processors, the computer programming language code to generate compiled computer programming language code; and loading, at the one or more hardware processors, the compiled computer programming language code; instantiating, at the one or more hardware processors, the loaded precompiled code or the compiled computer programming language code; and executing, at the one or more hardware processors, the instantiated code to perform a query operation corresponding to the computer data system query language code, wherein determining whether precompiled code corresponding to the programming language code is available in a precompiled code repository comprises: generating a token representing the generated computer programming language code; and comparing the token to one or more repository tokens in the precompiled code repository corresponding to precompiled code units. | 15. A nontransitory computer readable medium having stored thereon software instructions that, when executed by one or more processors, cause the one or more processors to perform operations including: obtaining, at the one or more hardware processors, computer data system query language code from an electronic computer readable data storage; parsing, at the one or more hardware processors, the computer data system query language code to generate a computer data system query language parsed code structure; resolving, at the one or more hardware processors, a type of one or more columns represented in the parsed code structure based on a determined context of the one or more columns; inserting, at the one or more hardware processors, resolved types into the parsed code structure; generating, at the one or more hardware processors, computer programming language code from the computer data system query language parsed code structure; determining, at the one or more hardware processors, whether precompiled code corresponding to the generated computer programming language code is available in a precompiled code repository stored in the electronic computer readable data storage; when precompiled code is available in the precompiled code repository, loading, at the one or more hardware processors, the precompiled code; when precompiled code is not available in the precompiled code repository: compiling, at the one or more hardware processors, the computer programming language code to generate compiled computer programming language code; and loading, at the one or more hardware processors, the compiled computer programming language code; instantiating, at the one or more hardware processors, the loaded precompiled code or the compiled computer programming language code; and executing, at the one or more hardware processors, the instantiated code to perform a query operation corresponding to the computer data system query language code, wherein determining whether precompiled code corresponding to the programming language code is available in a precompiled code repository comprises: generating a token representing the generated computer programming language code; and comparing the token to one or more repository tokens in the precompiled code repository corresponding to precompiled code units. 17. The nontransitory computer readable medium of claim 15 , wherein the operations further include identifying a source of columns or query scope variables for substitution and use in computer programming language code. | 0.805996 |
10,162,848 | 1 | 6 | 1. A processor-implemented method, comprising: accessing, via an at least one processor, a first database including a plurality of first data objects, the plurality of first data objects associated with at least a first identifier type, a first characteristic type, a second characteristic type, each first data object from the plurality of first data objects having at least one of a value associated with the first identifier type, a value associated with the first characteristic type or a value associated with the second characteristic type; accessing, via the at least one processor, a second database separate from the first database and including a plurality of second data objects unrelated to the plurality of first data objects, the plurality of second data objects associated with at least the second identifier type, the second characteristic type, and a third characteristic type, each second data object from the plurality of second data objects having at least one of a value associated with the second identifier type, a value associated with the third identifier type, and/or a value associated with the second characteristic type; applying, via the at least one processor, a business rule to the plurality of first data objects and to the plurality of second data objects, the business rule being a logical expression indicating a relationship between a first concept and a second concept, the first concept being a logical expression indicative of the presence of a selected value of the first characteristic type and the second concept being a logical expression indicative of the presence of a selected value of the second characteristic type, the first concept and the second concept each representing a real world observation or a word or phrase conveying an idea or meaning; identifying, via the at least one processor, each first data object from the plurality of first data objects and each second data object from the plurality of second data object that satisfy the business rule to define a list of identified first data objects and a list of identified second data objects; identifying, via the at least one processor, a relationship between a value of the first identifier type of an identified first data object from the list of identified first data objects with a value of the third characteristic type of an identified second data object from the list of identified second data object based on the value of the second identifier type of the identified second data object matching a value of the first identifier type of the identified first data object; harmonizing, via the at least one processor, at least one of the identified relationships and the identified data objects to identify any inconsistencies; and issuing, via the at least one processor, an alert to a graphical user interface based on an identification of at least one inconsistency, the alert including an identifier indicating the at least one inconsistency. | 1. A processor-implemented method, comprising: accessing, via an at least one processor, a first database including a plurality of first data objects, the plurality of first data objects associated with at least a first identifier type, a first characteristic type, a second characteristic type, each first data object from the plurality of first data objects having at least one of a value associated with the first identifier type, a value associated with the first characteristic type or a value associated with the second characteristic type; accessing, via the at least one processor, a second database separate from the first database and including a plurality of second data objects unrelated to the plurality of first data objects, the plurality of second data objects associated with at least the second identifier type, the second characteristic type, and a third characteristic type, each second data object from the plurality of second data objects having at least one of a value associated with the second identifier type, a value associated with the third identifier type, and/or a value associated with the second characteristic type; applying, via the at least one processor, a business rule to the plurality of first data objects and to the plurality of second data objects, the business rule being a logical expression indicating a relationship between a first concept and a second concept, the first concept being a logical expression indicative of the presence of a selected value of the first characteristic type and the second concept being a logical expression indicative of the presence of a selected value of the second characteristic type, the first concept and the second concept each representing a real world observation or a word or phrase conveying an idea or meaning; identifying, via the at least one processor, each first data object from the plurality of first data objects and each second data object from the plurality of second data object that satisfy the business rule to define a list of identified first data objects and a list of identified second data objects; identifying, via the at least one processor, a relationship between a value of the first identifier type of an identified first data object from the list of identified first data objects with a value of the third characteristic type of an identified second data object from the list of identified second data object based on the value of the second identifier type of the identified second data object matching a value of the first identifier type of the identified first data object; harmonizing, via the at least one processor, at least one of the identified relationships and the identified data objects to identify any inconsistencies; and issuing, via the at least one processor, an alert to a graphical user interface based on an identification of at least one inconsistency, the alert including an identifier indicating the at least one inconsistency. 6. The processor-implemented method of claim 1 , wherein the first concept is a logical expression indicative of the presence of any value of the first characteristic type as a text string in an unstructured data object or as data code stored in a structured data object. | 0.821004 |
8,832,584 | 21 | 30 | 21. A computer-implemented method, comprising: collecting highlights of a digital work received from a plurality of digital work presentation devices wherein the highlights of the digital work include a first highlight entered to highlight a first passage; collecting questions crafted by one or more users, wherein each of the questions pertains to a corresponding highlight of a corresponding passage of the digital work, wherein the questions include a first question pertaining to the first highlight to highlight the first passage; storing the questions in association with the highlights to which the questions pertain; comparing the first question to a plurality of questions that pertain to highlights of the first passage, wherein comparing the first question to the plurality of questions further comprises comparing one or more phrases of the first question to the plurality of questions that pertain to the highlights of the first passage; and grouping the first question and the plurality of questions in one or more groups based at least in part on the comparing the first question to the plurality of questions. | 21. A computer-implemented method, comprising: collecting highlights of a digital work received from a plurality of digital work presentation devices wherein the highlights of the digital work include a first highlight entered to highlight a first passage; collecting questions crafted by one or more users, wherein each of the questions pertains to a corresponding highlight of a corresponding passage of the digital work, wherein the questions include a first question pertaining to the first highlight to highlight the first passage; storing the questions in association with the highlights to which the questions pertain; comparing the first question to a plurality of questions that pertain to highlights of the first passage, wherein comparing the first question to the plurality of questions further comprises comparing one or more phrases of the first question to the plurality of questions that pertain to the highlights of the first passage; and grouping the first question and the plurality of questions in one or more groups based at least in part on the comparing the first question to the plurality of questions. 30. The computer-implemented method of claim 21 , further comprising presenting a highlight of the digital work following entry of a user's answer to a question pertaining to the highlight. | 0.921772 |
10,157,174 | 1 | 3 | 1. A method for utilizing a dialectical model for providing an answer to a user query comprising: receiving, by a system, a natural language query from a user; applying, by the system, natural language processing (NLP) to the query to generate a first set of NLP structures; generating, by the system, a contrary set of NLP structures which represent an opposite polarity query to the user query; evaluating, by the system, the first set of NLP structures to identify a first set of evidence for candidate answers; evaluating, by the system, the contrary set of NLP structures to identify a second set of evidence for candidate answers; evaluating, by the system, a first set of hypotheses from the first set of NLP structures based on the first set of evidence for candidate answers, and a contrary set of hypotheses from the contrary set of NLP structures based on the second set of evidence for candidate answers, to determine a set of answers to the user query; converting, by the system, the set of answers to natural language; and providing the converted set of answers to the user. | 1. A method for utilizing a dialectical model for providing an answer to a user query comprising: receiving, by a system, a natural language query from a user; applying, by the system, natural language processing (NLP) to the query to generate a first set of NLP structures; generating, by the system, a contrary set of NLP structures which represent an opposite polarity query to the user query; evaluating, by the system, the first set of NLP structures to identify a first set of evidence for candidate answers; evaluating, by the system, the contrary set of NLP structures to identify a second set of evidence for candidate answers; evaluating, by the system, a first set of hypotheses from the first set of NLP structures based on the first set of evidence for candidate answers, and a contrary set of hypotheses from the contrary set of NLP structures based on the second set of evidence for candidate answers, to determine a set of answers to the user query; converting, by the system, the set of answers to natural language; and providing the converted set of answers to the user. 3. The method of claim 1 wherein the contrary set of NLP structures is generated by negating the first set of NLP structures. | 0.898208 |
9,268,765 | 27 | 28 | 27. The method of claim 24 , wherein the communication comprises an identification of a neurolinguistically-determined first dominant cognitive motivation orientation set, the first dominant cognitive motivation orientation set being expressed within the first text sequence. | 27. The method of claim 24 , wherein the communication comprises an identification of a neurolinguistically-determined first dominant cognitive motivation orientation set, the first dominant cognitive motivation orientation set being expressed within the first text sequence. 28. The method of claim 27 , further comprising: including, in the message, recommendations containing advice relating to preparation of a meaningful second text sequence wherein the second text sequence will address the first text sequence; the recommendations being based on the first dominant cognitive motivation orientation set. | 0.930218 |
8,275,661 | 3 | 4 | 3. A tangible computer readable medium comprising: machine executable code for determining at least one category as containing documents that may be retrieved; machine executable code for associating at least one supercategory with multiple categories including said at least one supercategory by mapping the multiple categories to the at least one supercategory; machine executable code for associating an advertisement with at least one of said supercategories, the advertisement being separate from the documents contained in the at least one category; machine executable code for determining at least one term associated with a user search query; machine executable code for determining a first of said at least one supercategory based on at least one term of said user search query and said multiple categories of the at least one supercategory; machine executable code for forming a banner ad term list, each element in said banner ad term list including terms of said first supercategory and terms of said at least one category associated with said first supercategory; and machine executable code for displaying an advertisement associated with said first supercategory, wherein said documents include business information taken from listings in at least one directory of businesses. | 3. A tangible computer readable medium comprising: machine executable code for determining at least one category as containing documents that may be retrieved; machine executable code for associating at least one supercategory with multiple categories including said at least one supercategory by mapping the multiple categories to the at least one supercategory; machine executable code for associating an advertisement with at least one of said supercategories, the advertisement being separate from the documents contained in the at least one category; machine executable code for determining at least one term associated with a user search query; machine executable code for determining a first of said at least one supercategory based on at least one term of said user search query and said multiple categories of the at least one supercategory; machine executable code for forming a banner ad term list, each element in said banner ad term list including terms of said first supercategory and terms of said at least one category associated with said first supercategory; and machine executable code for displaying an advertisement associated with said first supercategory, wherein said documents include business information taken from listings in at least one directory of businesses. 4. The computer program product of claim 3 , wherein each element of said banner ad term list includes additional data about one of said documents associated with said each element. | 0.502747 |
9,769,208 | 1 | 8 | 1. A method for building a security policy query component executable by a processor, the method comprising the steps of: (a) providing subjects and permissions related to making a security policy decision, as well as a training set of permission-to-subject assignments, as inputs to the security policy query component; (b) extracting semantic attributes from natural language freeform text descriptions of the subjects and the permissions, wherein the step (b) of extracting the semantic attributes comprises the step of: building subject-topic models and permission-topic models independently for the subjects and the permissions directly from the natural language freeform text descriptions of the subjects and the permissions; and (c) using machine learning to build the security policy query component based on the permission-to-subject assignments in the training set and the semantic attributes extracted in step (b), wherein the step (c) of using machine learning to build the security policy query component comprises the step of: using assignment of permissions-to-subjects and non-assignment of permissions-to-subjects in the training set as classes to build classifiers with the subject-topic models and the permission-topic models as features. | 1. A method for building a security policy query component executable by a processor, the method comprising the steps of: (a) providing subjects and permissions related to making a security policy decision, as well as a training set of permission-to-subject assignments, as inputs to the security policy query component; (b) extracting semantic attributes from natural language freeform text descriptions of the subjects and the permissions, wherein the step (b) of extracting the semantic attributes comprises the step of: building subject-topic models and permission-topic models independently for the subjects and the permissions directly from the natural language freeform text descriptions of the subjects and the permissions; and (c) using machine learning to build the security policy query component based on the permission-to-subject assignments in the training set and the semantic attributes extracted in step (b), wherein the step (c) of using machine learning to build the security policy query component comprises the step of: using assignment of permissions-to-subjects and non-assignment of permissions-to-subjects in the training set as classes to build classifiers with the subject-topic models and the permission-topic models as features. 8. The method of claim 1 , further comprising the step of: using the security policy query component in making the security policy decision. | 0.835294 |
8,065,135 | 1 | 3 | 1. A method of enabling input into a handheld electronic device including an input apparatus, an output apparatus, and a processor apparatus comprising a memory having stored therein a plurality of objects including a plurality of language objects, a plurality of frequency objects, and a number of contextual values, at least some of the language objects each having associated therewith a frequency object having a frequency value, at least some of the language objects each having associated therewith at least a first contextual value, the input apparatus including a plurality of input members, at least some of the input members each having a plurality of linguistic elements assigned thereto, the method comprising: detecting a first input; outputting as a first output an interpretation of the first input; detecting as a second input an ambiguous input that comprises a number of input member actuations; determining that a particular language object having associated therewith a particular frequency object having a particular frequency value corresponds with the ambiguous input; determining that another language object corresponding to the ambiguous input has associated therewith another frequency object having another frequency value, the another frequency value being higher than the particular frequency value; determining, by the handheld electronic device, that a contextual value associated with the particular language object coincides with at least one of a representation of the first input and a representation of the first output; and in response to said determining the contextual value, outputting the particular language object as an interpretation of the ambiguous input in a position of preference with respect to a position represented by the particular frequency value. | 1. A method of enabling input into a handheld electronic device including an input apparatus, an output apparatus, and a processor apparatus comprising a memory having stored therein a plurality of objects including a plurality of language objects, a plurality of frequency objects, and a number of contextual values, at least some of the language objects each having associated therewith a frequency object having a frequency value, at least some of the language objects each having associated therewith at least a first contextual value, the input apparatus including a plurality of input members, at least some of the input members each having a plurality of linguistic elements assigned thereto, the method comprising: detecting a first input; outputting as a first output an interpretation of the first input; detecting as a second input an ambiguous input that comprises a number of input member actuations; determining that a particular language object having associated therewith a particular frequency object having a particular frequency value corresponds with the ambiguous input; determining that another language object corresponding to the ambiguous input has associated therewith another frequency object having another frequency value, the another frequency value being higher than the particular frequency value; determining, by the handheld electronic device, that a contextual value associated with the particular language object coincides with at least one of a representation of the first input and a representation of the first output; and in response to said determining the contextual value, outputting the particular language object as an interpretation of the ambiguous input in a position of preference with respect to a position represented by the particular frequency value. 3. The method of claim 1 , further comprising employing as the contextual value a representation of an input in a predetermined format. | 0.891653 |
9,514,414 | 5 | 6 | 5. The system of claim 1 , wherein a categorization metric comprises an importance weight, and wherein the at least one processor executes the instructions to further: further in response to determining that the one or more metrics associated with performance of the trained document categorizer do not satisfy the first threshold, automatically: assign respective importance weights to the electronic documents, the importance weights indicating an importance of the categorization of the respective electronic documents to the performance of the document categorizer. | 5. The system of claim 1 , wherein a categorization metric comprises an importance weight, and wherein the at least one processor executes the instructions to further: further in response to determining that the one or more metrics associated with performance of the trained document categorizer do not satisfy the first threshold, automatically: assign respective importance weights to the electronic documents, the importance weights indicating an importance of the categorization of the respective electronic documents to the performance of the document categorizer. 6. The system of claim 5 , wherein the respective importance weights are determined based on a number of electronic documents in the corpus that share similar characteristics with the respective electronic documents. | 0.956696 |
8,355,025 | 1 | 2 | 1. A method comprising: receiving character outline data, wherein the character outline data includes a set of points; determining original interval boundaries and original breakpoints based on the character outline data, wherein the original breakpoints are represented by points on a y-axis, and wherein the original interval boundaries are specified to bound intervals on the y-axis only; creating modified breakpoints and modified interval boundaries to correspond to pixel boundaries, wherein each of the modified interval boundaries is a distance from one of the original interval boundaries and the modified interval boundaries are specified to bound intervals on the y-axis only; and vertically repositioning certain points of the set of points based on the distances without using hinting information and wherein horizontal stems of the character maintain the same thickness through the repositioning. | 1. A method comprising: receiving character outline data, wherein the character outline data includes a set of points; determining original interval boundaries and original breakpoints based on the character outline data, wherein the original breakpoints are represented by points on a y-axis, and wherein the original interval boundaries are specified to bound intervals on the y-axis only; creating modified breakpoints and modified interval boundaries to correspond to pixel boundaries, wherein each of the modified interval boundaries is a distance from one of the original interval boundaries and the modified interval boundaries are specified to bound intervals on the y-axis only; and vertically repositioning certain points of the set of points based on the distances without using hinting information and wherein horizontal stems of the character maintain the same thickness through the repositioning. 2. The method of claim 1 , wherein one of the original interval boundaries corresponds to a distance from a top of an uppercase character to a baseline. | 0.638095 |
8,280,946 | 13 | 14 | 13. A system, comprising: one or more devices to: receive a document requested by a browser program on a client device; analyze the document to generate a list of domain names associated with a plurality of links, within the document, that are selectable via the browser program, the instructions, which cause the one or more processors to analyze the document further causing the one or more processors to: determine, based on historical data, for which links, of the plurality of links within the document, to include associated domain names in the list of names, the historical data being based on at least one of: a quantity of times that a particular link, of the plurality of links, has been accessed, or an amount of time spent by users accessing documents linked to by the plurality of links, the list of domain names being ordered based on a relevance of documents, associated with the domain names, to the document; transmit the list to the client device, the list permitting the client device to perform domain name system (DNS) lookups for the domain names in the list prior to receiving a selection, at the client device, of any of the plurality of links within the document; transmit the document to the client device; and perform, in an order indicated by the list, one or more DNS lookups for one or more of the domain names in the list without receiving a selection of any of the plurality of links within the document. | 13. A system, comprising: one or more devices to: receive a document requested by a browser program on a client device; analyze the document to generate a list of domain names associated with a plurality of links, within the document, that are selectable via the browser program, the instructions, which cause the one or more processors to analyze the document further causing the one or more processors to: determine, based on historical data, for which links, of the plurality of links within the document, to include associated domain names in the list of names, the historical data being based on at least one of: a quantity of times that a particular link, of the plurality of links, has been accessed, or an amount of time spent by users accessing documents linked to by the plurality of links, the list of domain names being ordered based on a relevance of documents, associated with the domain names, to the document; transmit the list to the client device, the list permitting the client device to perform domain name system (DNS) lookups for the domain names in the list prior to receiving a selection, at the client device, of any of the plurality of links within the document; transmit the document to the client device; and perform, in an order indicated by the list, one or more DNS lookups for one or more of the domain names in the list without receiving a selection of any of the plurality of links within the document. 14. The system of claim 13 , where when receiving the document requested by the client device, the one or more devices are to: receive a search query; and generate the document as a web page that includes a plurality of references to documents that are related to the search query. | 0.740775 |
7,698,639 | 13 | 14 | 13. The method of claim 10 , further comprising associating a list of template instance references of the template with a user object. | 13. The method of claim 10 , further comprising associating a list of template instance references of the template with a user object. 14. The method of claim 13 , wherein each element of the list includes a reference to a template instance and template type from which the template instance is instantiated. | 0.874819 |
8,290,777 | 21 | 26 | 21. An electronic device that is configured to synchronize the playing and displaying of digital content, the electronic device comprising: a processor; memory in electronic communication with the processor; instructions stored in the memory, the instructions being executable to: render a first portion of digital content for display on the electronic device; play text units in a segment of digital content as audio using a text-to-speech engine; and render a second portion of digital content for display if a position of a most recent text unit is greater than a last position in the rendered first portion of digital content. | 21. An electronic device that is configured to synchronize the playing and displaying of digital content, the electronic device comprising: a processor; memory in electronic communication with the processor; instructions stored in the memory, the instructions being executable to: render a first portion of digital content for display on the electronic device; play text units in a segment of digital content as audio using a text-to-speech engine; and render a second portion of digital content for display if a position of a most recent text unit is greater than a last position in the rendered first portion of digital content. 26. The electronic device of claim 21 , further comprising instructions executable to wait a period of time before rendering the second portion of digital content based on a configurable delay value that is associated with the number of images that are included in the rendered first portion of digital content. | 0.802414 |
8,316,001 | 2 | 7 | 2. A computer-implemented method of performing patent analysis on data derived from a web-based search engine pursuant to a search query specified by a user, the method comprising: causing display, in a first element of a patent analytics web page, in a client digital computing device, of search results content served by the search engine, such content including a list of patents; receiving, by the client digital computing device, a patent analytics web page, including script, from a separate server; in a first computer process on the digital computing device, analyzing data associated with the search results content according to criteria, specified by the user when specifying the search query, to produce analysis results that apply to all patents on the list, including running the script, the script being configured to perform the analysis; and in a second computer process on the digital computing device, causing display of the analysis results. | 2. A computer-implemented method of performing patent analysis on data derived from a web-based search engine pursuant to a search query specified by a user, the method comprising: causing display, in a first element of a patent analytics web page, in a client digital computing device, of search results content served by the search engine, such content including a list of patents; receiving, by the client digital computing device, a patent analytics web page, including script, from a separate server; in a first computer process on the digital computing device, analyzing data associated with the search results content according to criteria, specified by the user when specifying the search query, to produce analysis results that apply to all patents on the list, including running the script, the script being configured to perform the analysis; and in a second computer process on the digital computing device, causing display of the analysis results. 7. A method according to claim 2 , wherein the specified criteria include a histogram analysis of frequency of occurrence of an attribute of patents identified in the search results web page. | 0.682724 |
9,569,593 | 61 | 86 | 61. At least one non-transitory computer-readable storage medium encoded with computer-executable instructions that, when executed, perform a method comprising: transcribing audio data comprising audio of one or more clinical personnel speaking while performing a surgical procedure, the audio data comprising audio of a first clinician speaking to one or more other clinical personnel while performing the surgical procedure; analyzing the transcribed audio data, including the transcribed audio of the first clinician speaking to the one or more other clinical personnel while performing the surgical procedure, at least in part by automatically extracting one or more clinical facts from the transcribed audio data, to identify relevant information for documenting the surgical procedure, wherein analyzing the transcribed audio data comprises identifying within the transcribed audio data a present-tense narration by the first clinician stating to the other clinical personnel that the first clinician is currently performing a particular step of the surgical procedure; automatically generating a text report including the relevant information documenting the surgical procedure, wherein automatically generating the text report comprises automatically transforming the present-tense narration into a non-present-tense portion in the report, stating that the particular step of the surgical procedure was performed; and outputting the automatically generated text report for review via a user interface on an audio and/or visual display device. | 61. At least one non-transitory computer-readable storage medium encoded with computer-executable instructions that, when executed, perform a method comprising: transcribing audio data comprising audio of one or more clinical personnel speaking while performing a surgical procedure, the audio data comprising audio of a first clinician speaking to one or more other clinical personnel while performing the surgical procedure; analyzing the transcribed audio data, including the transcribed audio of the first clinician speaking to the one or more other clinical personnel while performing the surgical procedure, at least in part by automatically extracting one or more clinical facts from the transcribed audio data, to identify relevant information for documenting the surgical procedure, wherein analyzing the transcribed audio data comprises identifying within the transcribed audio data a present-tense narration by the first clinician stating to the other clinical personnel that the first clinician is currently performing a particular step of the surgical procedure; automatically generating a text report including the relevant information documenting the surgical procedure, wherein automatically generating the text report comprises automatically transforming the present-tense narration into a non-present-tense portion in the report, stating that the particular step of the surgical procedure was performed; and outputting the automatically generated text report for review via a user interface on an audio and/or visual display device. 86. The at least one non-transitory computer-readable storage medium of claim 61 , wherein the generating comprises copying text from at least one past surgical report that also included the relevant information. | 0.895464 |
8,718,610 | 1 | 2 | 1. A communication terminal comprising: a transceiver that is configured to receive electronic messages from another communication terminal; and a controller that is configured to respond to receipt of each of the messages by examining content of the message according to at least one defined rule and to control sound characteristics of an alert tune that is played through a speaker responsive to the examined message content, wherein the controller is further configured to analyze an image contained within picture data and/or video data of the message to determine whether the image contains an object that matches characteristics that have been previously defined in the communication terminal, the controller being further configured to control the sound characteristics of the alert tune responsive to an outcome of the image analysis. | 1. A communication terminal comprising: a transceiver that is configured to receive electronic messages from another communication terminal; and a controller that is configured to respond to receipt of each of the messages by examining content of the message according to at least one defined rule and to control sound characteristics of an alert tune that is played through a speaker responsive to the examined message content, wherein the controller is further configured to analyze an image contained within picture data and/or video data of the message to determine whether the image contains an object that matches characteristics that have been previously defined in the communication terminal, the controller being further configured to control the sound characteristics of the alert tune responsive to an outcome of the image analysis. 2. The communication terminal of claim 1 , wherein the controller is further configured to assemble a song from a sequence of alert tune segments that are selected in response to a sequence of message words and/or phrases that are matched to different entries in a stored list of words and/or phrases, and wherein the order in which the alert tune segments are played is responsive to the order of occurrence of the matched words and/or phrases in the message text. | 0.501073 |
8,941,589 | 57 | 62 | 57. The system of claim 50 , wherein a smoothed hypothesis is generated through application of a correction factor to the average hypothesis. | 57. The system of claim 50 , wherein a smoothed hypothesis is generated through application of a correction factor to the average hypothesis. 62. The system of claim 57 , wherein the smoothed hypothesis comprises a positional component and a rotational component. | 0.947162 |
8,387,122 | 32 | 33 | 32. The method of claim 31 , further comprising the step of employing the one or more shared knowledge questions that are reused to control access to the second resource only if the party attempting to access the second resource has first failed to provide a predefined password initially required to access the second resource, or if there is at least one concern about granting the party access to the second resource based on use of only a different procedure for controlling access. | 32. The method of claim 31 , further comprising the step of employing the one or more shared knowledge questions that are reused to control access to the second resource only if the party attempting to access the second resource has first failed to provide a predefined password initially required to access the second resource, or if there is at least one concern about granting the party access to the second resource based on use of only a different procedure for controlling access. 33. The method of claim 32 , wherein the at least one concern is selected from the group of concerns consisting of: (a) the second resource has a substantially higher value than other resources for which access is granted based only on the different procedure; (b) a possible fraud by the party in attempting to access the second resource has been detected; and (c) a suspect behavior has been detected in connection with an attempt by the party to access the second resource. | 0.872727 |
9,251,468 | 14 | 16 | 14. A non-transitory computer readable storage medium storing instructions for: selecting a user from a plurality of users of a social networking system, each user of the plurality of users being associated with a user profile comprising a set of user profile attributes, wherein the social networking system configures a user interface for a user to provide value for each user provided attribute and stores each user provided value as a user profile attribute; identifying, by a computer, one or more of a set of users who are connected to the selected user in the social networking system; inferring, by the computer, a value of a first user profile attribute of the user profile, the first user profile attribute storing a first type of information for the selected user, the first user profile attribute inferred based on values of a second user profile attribute of the user profiles of the one or more of the set of users connected to the selected user in the social networking system, the second user profile attribute storing a second type of information distinct from the first type of information; storing the inferred value of the user profile attributes in association with the user profile of the selected user; determining relevant information for the selected user based on the inferred value of the first user profile attribute of the user profile; and sending the relevant information to the selected user. | 14. A non-transitory computer readable storage medium storing instructions for: selecting a user from a plurality of users of a social networking system, each user of the plurality of users being associated with a user profile comprising a set of user profile attributes, wherein the social networking system configures a user interface for a user to provide value for each user provided attribute and stores each user provided value as a user profile attribute; identifying, by a computer, one or more of a set of users who are connected to the selected user in the social networking system; inferring, by the computer, a value of a first user profile attribute of the user profile, the first user profile attribute storing a first type of information for the selected user, the first user profile attribute inferred based on values of a second user profile attribute of the user profiles of the one or more of the set of users connected to the selected user in the social networking system, the second user profile attribute storing a second type of information distinct from the first type of information; storing the inferred value of the user profile attributes in association with the user profile of the selected user; determining relevant information for the selected user based on the inferred value of the first user profile attribute of the user profile; and sending the relevant information to the selected user. 16. The non-transitory computer readable storage medium of claim 14 , wherein the first user profile attribute represents a gender and the second user profile attribute represents interests. | 0.879747 |
8,655,659 | 29 | 30 | 29. The personalized speech feature extraction device according to claim 26 , wherein parameters representing the speech features include frequency, volume, rhythm and end sound. | 29. The personalized speech feature extraction device according to claim 26 , wherein parameters representing the speech features include frequency, volume, rhythm and end sound. 30. The personalized speech feature extraction device according to claim 29 , wherein the speech feature filtration unit is further configured to filter out speech features with respect to the parameters representing the respective speech features. | 0.947458 |
8,103,960 | 4 | 5 | 4. The method of claim 2 , further comprising the computer processor performing the step of: selecting overall graphic appearance from a drop down menu to choose a style for said graphic from a variety of predefined formats. | 4. The method of claim 2 , further comprising the computer processor performing the step of: selecting overall graphic appearance from a drop down menu to choose a style for said graphic from a variety of predefined formats. 5. The method of claim 4 , further comprising the computer processor performing the step of: customizing said graphic style by setting parameters which comprise any of style, font, background, and other customizable features from the drop down menu. | 0.873732 |
6,012,367 | 14 | 15 | 14. A trimming apparatus for trimming a stack of sheets having edges, comprising: a document cutting mechanism including a table and a clamp holding a document while the document is being cut and a knife located above said table and defining a cutting line for cutting the document; said table having a top with an elongated slot extending through said top and in a direction substantially perpendicular to said cutting line; a stack holder positioned above said slot of said table for holding a stack of sheets; a rotator mechanism located under said table and having a portion extending through said slot for rotating said stack holder; a translator mechanism operatively connected to said stack holder and located under said table for movably translating said stack holder along said slot; and said stack holder being rotatable by said rotator mechanism and movable by said translator mechanism to successively position edges of the stack of sheets on the table for sequentially trimming the edges of the stack of sheets by said knife. | 14. A trimming apparatus for trimming a stack of sheets having edges, comprising: a document cutting mechanism including a table and a clamp holding a document while the document is being cut and a knife located above said table and defining a cutting line for cutting the document; said table having a top with an elongated slot extending through said top and in a direction substantially perpendicular to said cutting line; a stack holder positioned above said slot of said table for holding a stack of sheets; a rotator mechanism located under said table and having a portion extending through said slot for rotating said stack holder; a translator mechanism operatively connected to said stack holder and located under said table for movably translating said stack holder along said slot; and said stack holder being rotatable by said rotator mechanism and movable by said translator mechanism to successively position edges of the stack of sheets on the table for sequentially trimming the edges of the stack of sheets by said knife. 15. A trimming apparatus as defined in claim 14 wherein said stack holder includes a clamp for holding the stack of sheets as the stack of sheets is rotated and moved. | 0.851159 |
9,483,461 | 1 | 21 | 1. A method comprising: at an electronic device with a display, one or more input devices, and one or more audio output devices: displaying, on the display, a portion of displayed text that includes a plurality of words; receiving a request to convert the plurality of words in the portion of the displayed text to speech; determining whether a language ambiguity exists based on an analysis of the plurality of words of the portion of the displayed text, wherein the language ambiguity indicates that a plurality of candidate languages are applicable for converting the plurality of words in the portion of displayed text to speech; in accordance with the determination that the language ambiguity exists, concurrently displaying, on the display, the plurality of candidate languages for converting the plurality of words in the portion of the displayed text to speech, wherein the plurality of candidate languages was selected based on the analysis of the plurality of words in the portion of the displayed text; while concurrently displaying the plurality of candidate languages, receiving, with the one or more input devices, input indicative of selection of a first candidate language from the concurrently displayed plurality of candidate languages; and in response to receiving the input indicative of selection of the first candidate language, outputting, with the one or more audio output devices, audio corresponding to the plurality of words in the portion of the displayed text, wherein the audio comprises a conversion of the plurality of words in the portion of the displayed text to speech in the first candidate language. | 1. A method comprising: at an electronic device with a display, one or more input devices, and one or more audio output devices: displaying, on the display, a portion of displayed text that includes a plurality of words; receiving a request to convert the plurality of words in the portion of the displayed text to speech; determining whether a language ambiguity exists based on an analysis of the plurality of words of the portion of the displayed text, wherein the language ambiguity indicates that a plurality of candidate languages are applicable for converting the plurality of words in the portion of displayed text to speech; in accordance with the determination that the language ambiguity exists, concurrently displaying, on the display, the plurality of candidate languages for converting the plurality of words in the portion of the displayed text to speech, wherein the plurality of candidate languages was selected based on the analysis of the plurality of words in the portion of the displayed text; while concurrently displaying the plurality of candidate languages, receiving, with the one or more input devices, input indicative of selection of a first candidate language from the concurrently displayed plurality of candidate languages; and in response to receiving the input indicative of selection of the first candidate language, outputting, with the one or more audio output devices, audio corresponding to the plurality of words in the portion of the displayed text, wherein the audio comprises a conversion of the plurality of words in the portion of the displayed text to speech in the first candidate language. 21. The method of claim 1 , further comprising: receiving, with the one or more input devices, input indicative of a selection of the portion of the displayed text; and concurrently displaying, on the display, the plurality of candidate languages based on the selection of the portion of the displayed text. | 0.916712 |
6,072,494 | 38 | 43 | 38. A computer-implemented system for storing and recognizing gestures made by a moving subject within an image, the system comprising: means for building a background model by obtaining at least one frame of an image; means for obtaining a data frame containing a subject performing a part of a subject gesture; means for analyzing the data frame thereby determining particular coordinates of the subject at a particular time while the subject is performing the subject gesture; means for adding the particular coordinates to a frame data set; means for examining the particular coordinates such that the particular coordinates are compared to positional data making up a plurality of recognizable gestures, wherein a recognizable gesture is made up of at least one dimension such that the positional data describes dimensions of the recognized gesture; and means for determining whether a plurality of data frames, where a data frame is represented by the frame data set, when examined in a particular sequence, conveys a subject gesture by the subject that resembles a recognizable gesture, thereby causing an operation based on a predetermined meaning of the recognizable gesture be performed by a computer. | 38. A computer-implemented system for storing and recognizing gestures made by a moving subject within an image, the system comprising: means for building a background model by obtaining at least one frame of an image; means for obtaining a data frame containing a subject performing a part of a subject gesture; means for analyzing the data frame thereby determining particular coordinates of the subject at a particular time while the subject is performing the subject gesture; means for adding the particular coordinates to a frame data set; means for examining the particular coordinates such that the particular coordinates are compared to positional data making up a plurality of recognizable gestures, wherein a recognizable gesture is made up of at least one dimension such that the positional data describes dimensions of the recognized gesture; and means for determining whether a plurality of data frames, where a data frame is represented by the frame data set, when examined in a particular sequence, conveys a subject gesture by the subject that resembles a recognizable gesture, thereby causing an operation based on a predetermined meaning of the recognizable gesture be performed by a computer. 43. A system as recited in claim 38 wherein means for determining whether the plurality of the data frames conveys a subject gesture further includes means for comparing the frame data set to positional data corresponding to a dimension for a recognizable gesture. | 0.872464 |
10,055,416 | 1 | 9 | 1. A computer-implemented method for content-related file handling in a hierarchical storage environment, comprising: initiating a new document notification process in response to receipt of a new document, the new document notification process comprising: evaluating enhanced metadata of the new document via a relationship analyzing process to produce a priority list defining a likelihood of possible access, wherein the enhanced metadata includes a set of keywords and/or references from within the new document, wherein the enhanced metadata includes user file access history information and/or a user search history information, wherein the relationship analyzing process uses the access history information and/or a user search history in the enhanced metadata with the set of keywords and/or references to produce the priority list; and storing the new document in a storage tier of a hierarchical storage environment according to the priority list. | 1. A computer-implemented method for content-related file handling in a hierarchical storage environment, comprising: initiating a new document notification process in response to receipt of a new document, the new document notification process comprising: evaluating enhanced metadata of the new document via a relationship analyzing process to produce a priority list defining a likelihood of possible access, wherein the enhanced metadata includes a set of keywords and/or references from within the new document, wherein the enhanced metadata includes user file access history information and/or a user search history information, wherein the relationship analyzing process uses the access history information and/or a user search history in the enhanced metadata with the set of keywords and/or references to produce the priority list; and storing the new document in a storage tier of a hierarchical storage environment according to the priority list. 9. A data processing program for execution in a data processing system comprising software code portions for performing the method according to claim 1 when the data processing program is run on the data processing system. | 0.832579 |
9,053,489 | 1 | 10 | 1. A computer-implemented method comprising: as implemented by one or more computing devices configured with specific computer-executable instructions, receiving a message from a sender communication device, wherein the message is configured to be sent to a recipient communication device using an identifier of the recipient communication device; identifying a word, for which advertising is available, from the message; receiving geographical location information from the recipient communication device; determining temporal information pertaining to the recipient communication device based at least on the geographical location information received from the recipient communication device; sending the word identified from the message and the temporal information to a third party; obtaining a plurality of advertisements from the third party based at least in part on the word identified in the message and the temporal information, wherein each advertisement of the plurality of advertisements is associated with a respective payment level, and wherein each respective payment level is based at least in part on the temporal information pertaining to the recipient communication device; associating in a data store of the one or more computing devices the word identified in the message with the plurality of advertisements and the identifier of the recipient communication device, wherein the one or more computing devices are remote from the sender communication device and the recipient communication device; sending the message to the recipient communication device; receiving, from the recipient communication device, the identifier of the recipient communication device; receiving, from the recipient communication device, a transcribed utterance that includes the word identified in the message; selecting at least one advertisement of the plurality of advertisements, wherein the selecting is based at least in part on the respective payment level of the at least one advertisement; and based at least in part on the word identified in the message being present in the transcribed utterance and being associated with the plurality of advertisements and the identifier of the recipient communication device, sending the at least one advertisement to the recipient communication device using the identifier of the recipient communication device. | 1. A computer-implemented method comprising: as implemented by one or more computing devices configured with specific computer-executable instructions, receiving a message from a sender communication device, wherein the message is configured to be sent to a recipient communication device using an identifier of the recipient communication device; identifying a word, for which advertising is available, from the message; receiving geographical location information from the recipient communication device; determining temporal information pertaining to the recipient communication device based at least on the geographical location information received from the recipient communication device; sending the word identified from the message and the temporal information to a third party; obtaining a plurality of advertisements from the third party based at least in part on the word identified in the message and the temporal information, wherein each advertisement of the plurality of advertisements is associated with a respective payment level, and wherein each respective payment level is based at least in part on the temporal information pertaining to the recipient communication device; associating in a data store of the one or more computing devices the word identified in the message with the plurality of advertisements and the identifier of the recipient communication device, wherein the one or more computing devices are remote from the sender communication device and the recipient communication device; sending the message to the recipient communication device; receiving, from the recipient communication device, the identifier of the recipient communication device; receiving, from the recipient communication device, a transcribed utterance that includes the word identified in the message; selecting at least one advertisement of the plurality of advertisements, wherein the selecting is based at least in part on the respective payment level of the at least one advertisement; and based at least in part on the word identified in the message being present in the transcribed utterance and being associated with the plurality of advertisements and the identifier of the recipient communication device, sending the at least one advertisement to the recipient communication device using the identifier of the recipient communication device. 10. The computer-implemented method of claim 1 , wherein the message comprises an audio message and the computer-implemented method further comprises transcribing the audio message to text. | 0.767813 |
7,912,726 | 7 | 8 | 7. The non-transitory computer readable medium of claim 6 , wherein the customized variant represents one preferred way of the user of expressing the desired action. | 7. The non-transitory computer readable medium of claim 6 , wherein the customized variant represents one preferred way of the user of expressing the desired action. 8. The non-transitory computer readable medium of claim 7 , wherein during service access by the user the customized context file is uploaded by the speech-enabled service allowing the user to express the desired action using the customized variant. | 0.884829 |
8,684,839 | 1 | 12 | 1. A gaming system in a casino gaming network, comprising: a gaming controller; a memory; at least one interface configured to communicate with at least one other device in the gaming network; a first gesture input interface device configured to detect movements of the first gesture input interface device associated with one or more persons, wherein the first gesture input interface device is included within a first mobile handheld device in communication with the gaming controller; and a first gesture interpretation component configured to identify selected movements or gestures detected by the first gesture input interface device and to generate gesture interpretation information relating to interpretation of the selected movements or gestures, wherein the gaming system is configured to: detect one or more identification gestures by a first player via the first gesture input interface, wherein the one or more identification gestures are detected by the first gesture input interface device and comprise movement of the first gesture input interface device, determine an identity of the first player based on the detected one or more identification gestures, detect a first gesture by the first player participating in a first game session at the gaming system, wherein the first gesture is detected by the first gesture input interface device, and wherein the first gesture comprises movement of the first gesture input interface device, interpret the first gesture with respect to a first set of criteria; generate gesture interpretation information relating to the interpretation of the first gesture, advance a state of the first game session using at least a portion of the gesture interpretation information, and communicate the advancement of the state of the first game session to the first player via the first mobile handheld device. | 1. A gaming system in a casino gaming network, comprising: a gaming controller; a memory; at least one interface configured to communicate with at least one other device in the gaming network; a first gesture input interface device configured to detect movements of the first gesture input interface device associated with one or more persons, wherein the first gesture input interface device is included within a first mobile handheld device in communication with the gaming controller; and a first gesture interpretation component configured to identify selected movements or gestures detected by the first gesture input interface device and to generate gesture interpretation information relating to interpretation of the selected movements or gestures, wherein the gaming system is configured to: detect one or more identification gestures by a first player via the first gesture input interface, wherein the one or more identification gestures are detected by the first gesture input interface device and comprise movement of the first gesture input interface device, determine an identity of the first player based on the detected one or more identification gestures, detect a first gesture by the first player participating in a first game session at the gaming system, wherein the first gesture is detected by the first gesture input interface device, and wherein the first gesture comprises movement of the first gesture input interface device, interpret the first gesture with respect to a first set of criteria; generate gesture interpretation information relating to the interpretation of the first gesture, advance a state of the first game session using at least a portion of the gesture interpretation information, and communicate the advancement of the state of the first game session to the first player via the first mobile handheld device. 12. The gaming system of claim 1 being further configured to: determine an active game theme of the first game session at the gaming system; and interpret the first gesture based at least in part upon the active game theme of the first game session at the gaming system. | 0.798206 |
9,990,360 | 16 | 17 | 16. The non-transitory computer readable storage medium of claim 12 , wherein the domain model is associated with a domain of the set of eventualities. | 16. The non-transitory computer readable storage medium of claim 12 , wherein the domain model is associated with a domain of the set of eventualities. 17. The non-transitory computer readable storage medium of claim 16 , wherein the domain of the set of eventualities is at least one of weather data, traffic data, medical data, scientific data, and computer network data. | 0.954092 |
7,689,421 | 7 | 12 | 7. A computer-readable storage medium having computer-executable instructions, which when executed perform steps, comprising: storing a plurality of voice personas in a data store, each voice persona comprising a base voice and voice morphing parameters, the voice personas accessible to clients from a voice persona service via a network; receiving at the voice persona service, via the network, user input identifying one of the stored voice personas and the user input comprising voice morphing parameters; retrieving the base voice and the voice morphing parameters of the voice persona identified by the user input; modifying the retrieved voice morphing parameters of the voice persona based on the received voice morphing parameters inputted by the user; saving the modified voice persona in the data store as a new voice persona; and receiving text from a user via the network at the voice persona service, retrieving the new voice persona and outputting a waveform corresponding to the voice persona by performing text-to-speech conversion and speech morphing using the modified morphing parameters. | 7. A computer-readable storage medium having computer-executable instructions, which when executed perform steps, comprising: storing a plurality of voice personas in a data store, each voice persona comprising a base voice and voice morphing parameters, the voice personas accessible to clients from a voice persona service via a network; receiving at the voice persona service, via the network, user input identifying one of the stored voice personas and the user input comprising voice morphing parameters; retrieving the base voice and the voice morphing parameters of the voice persona identified by the user input; modifying the retrieved voice morphing parameters of the voice persona based on the received voice morphing parameters inputted by the user; saving the modified voice persona in the data store as a new voice persona; and receiving text from a user via the network at the voice persona service, retrieving the new voice persona and outputting a waveform corresponding to the voice persona by performing text-to-speech conversion and speech morphing using the modified morphing parameters. 12. The computer-readable storage medium of claim 7 wherein the user input comprises speech and text corresponding to the speech, and wherein saving the parameter data in a voice persona comprises saving the text in a name card and saving the speech and text in association with a script. | 0.835804 |
8,972,233 | 14 | 15 | 14. The method of claim 1 , wherein the network including the data and probability distributions includes at least one nonlinear interdependence between nodes. | 14. The method of claim 1 , wherein the network including the data and probability distributions includes at least one nonlinear interdependence between nodes. 15. The method of claim 14 , wherein the at least one nonlinear interdependence between nodes is evidenced by a plurality of alternative pathways connecting nodes within the network. | 0.953595 |
9,251,523 | 10 | 11 | 10. The method of claim 7 , further comprising: distinguishably displaying the at least one of the auto-completed search query, the auto-completed advertising word, or both the auto-completed search query and the auto-completed advertising word in the user interface window associated with the search display area. | 10. The method of claim 7 , further comprising: distinguishably displaying the at least one of the auto-completed search query, the auto-completed advertising word, or both the auto-completed search query and the auto-completed advertising word in the user interface window associated with the search display area. 11. The method of claim 10 , wherein the distinguishably displaying comprises displaying at least one auto-completed advertising word on a portion of the user interface window associated with the search display area separately from the auto-completed search query. | 0.907303 |
7,697,668 | 1 | 2 | 1. A computer-readable medium storing instructions for controlling a computing device to customize a voice in a multi-media message created by a sender for a recipient, the multi-media message comprising a text message from the sender to be delivered by an animated entity, the instructions comprising: receiving from the sender inserted voice emoticons, which may be repeated, into the text message associated with parameters of a voice used by an animated entity to deliver the text message; and transmitting the text message such that a recipient device can deliver the multi-media message at a variable level associated with a number of times a respective voice emoticon is repeated. | 1. A computer-readable medium storing instructions for controlling a computing device to customize a voice in a multi-media message created by a sender for a recipient, the multi-media message comprising a text message from the sender to be delivered by an animated entity, the instructions comprising: receiving from the sender inserted voice emoticons, which may be repeated, into the text message associated with parameters of a voice used by an animated entity to deliver the text message; and transmitting the text message such that a recipient device can deliver the multi-media message at a variable level associated with a number of times a respective voice emoticon is repeated. 2. The computer-readable medium of claim 1 , wherein the voice emoticons comprise emoticons associated with at least one of voice stress, volume, pause, and emotion. | 0.705357 |
9,063,753 | 29 | 30 | 29. The system of claim 28 , wherein the scripting framework is further to: prepare data associated with the exit node, and update any changed data resulting from execution of the code snippet. | 29. The system of claim 28 , wherein the scripting framework is further to: prepare data associated with the exit node, and update any changed data resulting from execution of the code snippet. 30. The system of claim 29 , wherein the scripting framework is further to: receive, from a partner scripting interface, the business object and code snippet. | 0.976975 |
4,499,553 | 23 | 35 | 23. A digital data processing means for locating from a plurality of digital coded candidate words at least one which is both an acceptable misspelling and an acceptable inflection of a digital coded query word, the query word and each of plural ones of the candidate words comprising plural characters, the means comprising: means for determining the characters forming a stem portion and an ending portion of such query word; means for forming a suffix class indication for any one of a plurality of classes in which the query word may be included; means for comparing the characters of the stem portion of the query word with characters in the beginning of such candidate words for finding candidate words with acceptable misspelling matches and candidate words with nonacceptable misspelling matches; means for determining characters forming an ending portion, if any, in each of individual ones of the candidate words; means for utilizing the suffix class indication to select from among other suffixes a representation of characters forming at least one acceptable suffix for the candidate words; and means for comparing character by character the characters of said at least one selected acceptable suffix with the characters in the ending portion in each of the individual ones of the candidate words for finding acceptable ending portions, the first and second recited means thereby locating candidate words which are both an acceptable misspelling and an acceptable inflection of the query word. | 23. A digital data processing means for locating from a plurality of digital coded candidate words at least one which is both an acceptable misspelling and an acceptable inflection of a digital coded query word, the query word and each of plural ones of the candidate words comprising plural characters, the means comprising: means for determining the characters forming a stem portion and an ending portion of such query word; means for forming a suffix class indication for any one of a plurality of classes in which the query word may be included; means for comparing the characters of the stem portion of the query word with characters in the beginning of such candidate words for finding candidate words with acceptable misspelling matches and candidate words with nonacceptable misspelling matches; means for determining characters forming an ending portion, if any, in each of individual ones of the candidate words; means for utilizing the suffix class indication to select from among other suffixes a representation of characters forming at least one acceptable suffix for the candidate words; and means for comparing character by character the characters of said at least one selected acceptable suffix with the characters in the ending portion in each of the individual ones of the candidate words for finding acceptable ending portions, the first and second recited means thereby locating candidate words which are both an acceptable misspelling and an acceptable inflection of the query word. 35. Means according to claim 23 wherein the means for forming a suffix class indication comprises: (a) means for inspecting representations of the characters of the ending portion of the query word and at least one of the characters in the query word preceding the ending portion to form at least one indication of the context of the characters in the stem portion in the query word; and (b) means for utilizing the particular ending portion of the query word and the indication of the context to form the suffix class indication for the query word. | 0.777011 |
8,296,853 | 9 | 10 | 9. A non-transitory memory medium comprising program instructions for authenticating a user in a heterogeneous computer environment, wherein the program instructions are executable by a processor to: a. define a set of unique prefixes, each prefix identifying a type of user repository; b. define a set of abstract repository names, each abstract repository name identifying an address of a user repository, wherein each abstract repository name is mapped to a user repository, and is used to retrieve required address information that must be used to communicate with the repository, wherein said defining comprises defining an Abstract Repository Name Catalogue, which maps references to abstract repository names and abstract repository names to physical addresses; and c. identify the user in the heterogeneous computer environment by assigning a sequence comprising a unique prefix, a reference to an abstract repository name and a unique identifier for the user within the user repository indicated by the reference to the abstract repository name, wherein the user repository is indicated via the mapping by the Abstract Repository Name Catalogue of the reference to the abstract repository name, and of the abstract repository name to the physical address of the user repository, wherein the unique identifier for the user uniquely identifies the user based on one or more rules of the user repository, and wherein authenticating the user comprises verifying that the identified user is authenticated for the indicated user repository based on the one or more rules; wherein more than one physical address is provided for a single abstract repository name, if the respective repository can be accessed via more than one protocol, and wherein the Abstract Repository Name Catalogue selects the physical address to return to the requestor based on the protocol required by the requestor to access the repository. | 9. A non-transitory memory medium comprising program instructions for authenticating a user in a heterogeneous computer environment, wherein the program instructions are executable by a processor to: a. define a set of unique prefixes, each prefix identifying a type of user repository; b. define a set of abstract repository names, each abstract repository name identifying an address of a user repository, wherein each abstract repository name is mapped to a user repository, and is used to retrieve required address information that must be used to communicate with the repository, wherein said defining comprises defining an Abstract Repository Name Catalogue, which maps references to abstract repository names and abstract repository names to physical addresses; and c. identify the user in the heterogeneous computer environment by assigning a sequence comprising a unique prefix, a reference to an abstract repository name and a unique identifier for the user within the user repository indicated by the reference to the abstract repository name, wherein the user repository is indicated via the mapping by the Abstract Repository Name Catalogue of the reference to the abstract repository name, and of the abstract repository name to the physical address of the user repository, wherein the unique identifier for the user uniquely identifies the user based on one or more rules of the user repository, and wherein authenticating the user comprises verifying that the identified user is authenticated for the indicated user repository based on the one or more rules; wherein more than one physical address is provided for a single abstract repository name, if the respective repository can be accessed via more than one protocol, and wherein the Abstract Repository Name Catalogue selects the physical address to return to the requestor based on the protocol required by the requestor to access the repository. 10. The non-transitory memory medium of claim 9 , wherein the set of unique prefixes comprises prefixes for at least one user repository type of one or more of: Lightweight Directory Access Protocol Server (LDAP); Windows Active Directory Server (ADS); or Security Authorization Function (SAF), comprising RACF, ACF2 or TopSecret. | 0.501511 |
9,817,819 | 1 | 7 | 1. A method comprising, by one or more computing devices: sending, to a client system of a first user, instructions configured to present a translation prompt comprising a first text string; receiving, from the client system, a first input by the first user, wherein the first input corresponds to a first translation for the first text string; and calculating, by one or more of the computing devices, a reliability-value for the first translation based on the first input and a credibility-score of the first user, wherein the credibility-score of the first user is based on responses by the first user to checker-translation prompts, wherein the checker-translation prompts each comprise a control string for which a correct translation is known, and wherein the credibility-score is based on a number of responses by the first user that match the respective correct translations for the control strings. | 1. A method comprising, by one or more computing devices: sending, to a client system of a first user, instructions configured to present a translation prompt comprising a first text string; receiving, from the client system, a first input by the first user, wherein the first input corresponds to a first translation for the first text string; and calculating, by one or more of the computing devices, a reliability-value for the first translation based on the first input and a credibility-score of the first user, wherein the credibility-score of the first user is based on responses by the first user to checker-translation prompts, wherein the checker-translation prompts each comprise a control string for which a correct translation is known, and wherein the credibility-score is based on a number of responses by the first user that match the respective correct translations for the control strings. 7. The method of claim 1 , wherein the credibility-score of the first user is based on one or more actions performed by the first user, each action corresponding to a positive or a negative measure of trustworthiness of the first user. | 0.797414 |
8,606,743 | 14 | 15 | 14. A system to calculate time weight in an RDF graph, comprising: an inference engine module; a first communication interface to the inference engine module, the first communication interface configured to provide one or more triples of the RDF graph to the inference engine module, the one or more triples comprising a time information; a first communication interface to the inference engine module, the first communication interface configured to provide an epoch time to the inference engine, wherein the inference engine module is configured: to calculate an elapsed time from the epoch time to the time value; and to inversely weight the time information by the elapsed time, to provide a calculated time weight. | 14. A system to calculate time weight in an RDF graph, comprising: an inference engine module; a first communication interface to the inference engine module, the first communication interface configured to provide one or more triples of the RDF graph to the inference engine module, the one or more triples comprising a time information; a first communication interface to the inference engine module, the first communication interface configured to provide an epoch time to the inference engine, wherein the inference engine module is configured: to calculate an elapsed time from the epoch time to the time value; and to inversely weight the time information by the elapsed time, to provide a calculated time weight. 15. The system of claim 14 , wherein the inference engine is further configured to inversely weight the time information by an exponential decay function of the elapsed time. | 0.886423 |
7,810,021 | 38 | 40 | 38. The apparatus of claim 21 wherein the set of utility programs and scripts operating within the computer for converting the set of text files to hypertext files further comprises: one or more link determination programs for constructing a set of terms and objects for which hypertext links are to be installed in a text file; a link installation program for inserting hypertext links into a text file to convert it to a hypertext file; a Web page creation program for converting a hypertext file to a Web page; one or more literary macramé compilation scripts for invoking the link installation program and the Web page creation program for all text files to construct a complete linked literary macramé; and one or more manual scene link establishment scripts for enabling a user to link two scenes together using hypertext links. | 38. The apparatus of claim 21 wherein the set of utility programs and scripts operating within the computer for converting the set of text files to hypertext files further comprises: one or more link determination programs for constructing a set of terms and objects for which hypertext links are to be installed in a text file; a link installation program for inserting hypertext links into a text file to convert it to a hypertext file; a Web page creation program for converting a hypertext file to a Web page; one or more literary macramé compilation scripts for invoking the link installation program and the Web page creation program for all text files to construct a complete linked literary macramé; and one or more manual scene link establishment scripts for enabling a user to link two scenes together using hypertext links. 40. The apparatus of claim 38 wherein the set of terms and objects for which hypertext links are to be installed in a text file comprises one or more records each further comprising: a glossary or reference term to be linked from a referring location in the text file; a file reference identifying the glossary or reference in which the glossary term appears; a glossary term anchor identifier specifying the location in the glossary at which the glossary term appears; a term corresponding to the glossary or reference term to be displayed in the referring location; a target window in which the glossary or reference term appears when linked; and a class of reference defining the appearance of the reference in the referring location. | 0.856782 |
8,769,242 | 11 | 12 | 11. The system of claim 1 , wherein a new translation map is formed in response to a predetermined event, the predetermined event comprising at least one of a new customer, a new protocol and a new standard. | 11. The system of claim 1 , wherein a new translation map is formed in response to a predetermined event, the predetermined event comprising at least one of a new customer, a new protocol and a new standard. 12. The system of claim 11 , wherein a base translation map is selected from one or more available base translation maps. | 0.966758 |
7,521,622 | 1 | 2 | 1. A method, comprising: estimating respective pitch values for an audio signal; identifying candidate harmonic segments of the audio signal from the estimated pitch values; determining respective levels of harmonic content in the candidate harmonic segments; and generating an associated classification record for each of the candidate harmonic segments based on a harmonic content predicate defining at least one condition on the harmonic content levels. | 1. A method, comprising: estimating respective pitch values for an audio signal; identifying candidate harmonic segments of the audio signal from the estimated pitch values; determining respective levels of harmonic content in the candidate harmonic segments; and generating an associated classification record for each of the candidate harmonic segments based on a harmonic content predicate defining at least one condition on the harmonic content levels. 2. The method of claim 1 , wherein the estimating comprises computing weighted combinations of time-domain autocorrelation and spectral-domain autocorrelation for frames of the audio signal, and determining pitch values that maximize the weighted combinations. | 0.831824 |
8,078,450 | 1 | 2 | 1. A method for a computer to analyze a sentence in a source language, comprising: performing a lexical analysis of the sentence in the source language; performing a lexical-morphological analysis of each element of the sentence and building a lexical-morphological structure for the whole sentence; performing a rough syntactic analysis on the lexical-morphological structure comprising: generating all possible constituents for each element of the lexical-morphological structure; generalizing the constituents to form a set of generalized constituents; and generating a graph of the generalized constituents to describe all possible syntactic structures of the whole sentence, comprising: for each generalized constituent having a lexical meaning and grammatical value which corresponds to a connection in the lexical-morphological structure: initializing a surface model for the generalized constituent; attempting to attach other constituents in surface slots of the syntforms of the surface model right and left neighboring constituents; and establishing non-tree links on the graph of the generalized constituents; performing a precise syntactic analysis to produce one or more syntactic trees for the sentence from the graph of the generalized constituents, the precise syntactic analysis including: generating a graph of precise constituents, the graph of precise constituents being an intermediate representation between the graph of the generalized constituents and the one or more syntactic trees; generating one or more syntactic structure variants from the graph of the precise constituents; rating the precise constituents based on a plurality of rating scores independently obtained and calculated, including rating scores of one or more lexical meanings for each element of the sentence, rating scores of one or more syntactic constructions for each element of the sentence, rating scores of a degree of correspondence of the precise constituents to their semantic descriptions, and rating scores of a linear order of constituents in the sentence; using the rating of the precise constituents to generate hypotheses about the overall syntactic structure of the sentence; and selecting one or more hypotheses about the overall syntactic structure of the sentence with a highest rating score from the hypotheses generated; selecting a best syntactic structure for the sentence from the one or more syntactic trees; and generating a language-independent semantic structure for the sentence in the source language based at least in part upon the best syntactic structure for the sentence. | 1. A method for a computer to analyze a sentence in a source language, comprising: performing a lexical analysis of the sentence in the source language; performing a lexical-morphological analysis of each element of the sentence and building a lexical-morphological structure for the whole sentence; performing a rough syntactic analysis on the lexical-morphological structure comprising: generating all possible constituents for each element of the lexical-morphological structure; generalizing the constituents to form a set of generalized constituents; and generating a graph of the generalized constituents to describe all possible syntactic structures of the whole sentence, comprising: for each generalized constituent having a lexical meaning and grammatical value which corresponds to a connection in the lexical-morphological structure: initializing a surface model for the generalized constituent; attempting to attach other constituents in surface slots of the syntforms of the surface model right and left neighboring constituents; and establishing non-tree links on the graph of the generalized constituents; performing a precise syntactic analysis to produce one or more syntactic trees for the sentence from the graph of the generalized constituents, the precise syntactic analysis including: generating a graph of precise constituents, the graph of precise constituents being an intermediate representation between the graph of the generalized constituents and the one or more syntactic trees; generating one or more syntactic structure variants from the graph of the precise constituents; rating the precise constituents based on a plurality of rating scores independently obtained and calculated, including rating scores of one or more lexical meanings for each element of the sentence, rating scores of one or more syntactic constructions for each element of the sentence, rating scores of a degree of correspondence of the precise constituents to their semantic descriptions, and rating scores of a linear order of constituents in the sentence; using the rating of the precise constituents to generate hypotheses about the overall syntactic structure of the sentence; and selecting one or more hypotheses about the overall syntactic structure of the sentence with a highest rating score from the hypotheses generated; selecting a best syntactic structure for the sentence from the one or more syntactic trees; and generating a language-independent semantic structure for the sentence in the source language based at least in part upon the best syntactic structure for the sentence. 2. The method of claim 1 , wherein the lexical-morphological analysis further comprises finding for each element of the sentence a complete set of its grammatical and lexical meanings. | 0.825758 |
9,092,802 | 1 | 19 | 1. A method for knowledge extraction comprising: receiving data; identifying a process corresponding to the received data, the process being identified from a plurality of processes, the received data having a commonality with the process; identifying a knowledge of the process, the knowledge corresponding to the received data; determining categories of information for the received data utilizing the knowledge of the process; extracting information from the received data based on the categories of information, wherein extracting information from the received data generates extracted data; and creating records in a repository based on the extracted data, the records being adapted for use by a recommender, the recommender comprising a recommendation system. | 1. A method for knowledge extraction comprising: receiving data; identifying a process corresponding to the received data, the process being identified from a plurality of processes, the received data having a commonality with the process; identifying a knowledge of the process, the knowledge corresponding to the received data; determining categories of information for the received data utilizing the knowledge of the process; extracting information from the received data based on the categories of information, wherein extracting information from the received data generates extracted data; and creating records in a repository based on the extracted data, the records being adapted for use by a recommender, the recommender comprising a recommendation system. 19. The method of claim 1 , wherein the recommendation system comprises a recommendation engine. | 0.807229 |
10,037,491 | 1 | 6 | 1. A system for context-based sentiment analysis, comprising: one or more processors configured to: obtain a piece of comment data that is initially determined to be associated with a positive sentiment, a negative sentiment, a neutral sentiment, or a mixed sentiment, the piece of comment data being included in a comment; determine a context sentiment type of an associated context related to the piece of comment data, the associated context being distinct from the comment and including text that is created at a different time than the piece of comment data, and the determination being made with reference to at least a set of context features, wherein the context sentiment type indicates that the associated context is positive sentiment-entailing, negative sentiment-entailing, or neutral, wherein the determining of the context sentiment type of the associated context related to the piece of comment data comprises to: determine whether the context sentiment type of the associated context related to the piece of comment data is positive sentiment-entailing; and in response to a determination that the context sentiment type is determined to be positive sentiment-entailing, classify the piece of comment data includes using a positive model-based comment classifier, comprising to: perform an initial classification; and in response to a determination that the initial classification is positive and a positive context model-based comment classification of the positive model-based comment classifier is not-positive, determine a final classification to be neutral; and classify the piece of comment data, the classification being based at least in part on the piece of comment data and the context sentiment type; and one or more memories coupled to the one or more processors, configured to provide the one or more processors with instructions. | 1. A system for context-based sentiment analysis, comprising: one or more processors configured to: obtain a piece of comment data that is initially determined to be associated with a positive sentiment, a negative sentiment, a neutral sentiment, or a mixed sentiment, the piece of comment data being included in a comment; determine a context sentiment type of an associated context related to the piece of comment data, the associated context being distinct from the comment and including text that is created at a different time than the piece of comment data, and the determination being made with reference to at least a set of context features, wherein the context sentiment type indicates that the associated context is positive sentiment-entailing, negative sentiment-entailing, or neutral, wherein the determining of the context sentiment type of the associated context related to the piece of comment data comprises to: determine whether the context sentiment type of the associated context related to the piece of comment data is positive sentiment-entailing; and in response to a determination that the context sentiment type is determined to be positive sentiment-entailing, classify the piece of comment data includes using a positive model-based comment classifier, comprising to: perform an initial classification; and in response to a determination that the initial classification is positive and a positive context model-based comment classification of the positive model-based comment classifier is not-positive, determine a final classification to be neutral; and classify the piece of comment data, the classification being based at least in part on the piece of comment data and the context sentiment type; and one or more memories coupled to the one or more processors, configured to provide the one or more processors with instructions. 6. The system of claim 1 , wherein to classify the piece of comment data includes to use a negative model-based comment classifier in the event that the context sentiment type is determined to be negative sentiment-entailing. | 0.508734 |
8,429,628 | 1 | 8 | 1. A method comprising: generating, by one or more computing devices, a suspect abstract syntax tree by partially decompiling a compiled software module; comparing, by the one or more computing devices, the suspect abstract syntax tree to one or more reference abstract syntax trees, wherein the one or more reference abstract syntax trees are generated from partially compiled source code; generating, by the one or more computing devices, one or more similarity measurements from the comparison of the suspect abstract syntax tree and the one or more reference abstract syntax trees, wherein the one or more similarity measurements quantify the similarities and differences between the suspect abstract syntax tree and the one or more reference abstract syntax trees; and determining, by the one or more computing devices, the suspect abstract syntax tree was generated from the same source code as the one or more reference abstract syntax trees, based upon, at least in part, the one or more similarity measurements. | 1. A method comprising: generating, by one or more computing devices, a suspect abstract syntax tree by partially decompiling a compiled software module; comparing, by the one or more computing devices, the suspect abstract syntax tree to one or more reference abstract syntax trees, wherein the one or more reference abstract syntax trees are generated from partially compiled source code; generating, by the one or more computing devices, one or more similarity measurements from the comparison of the suspect abstract syntax tree and the one or more reference abstract syntax trees, wherein the one or more similarity measurements quantify the similarities and differences between the suspect abstract syntax tree and the one or more reference abstract syntax trees; and determining, by the one or more computing devices, the suspect abstract syntax tree was generated from the same source code as the one or more reference abstract syntax trees, based upon, at least in part, the one or more similarity measurements. 8. The method of claim 1 wherein the compiled software module is stored within a database. | 0.861538 |
8,037,070 | 1 | 6 | 1. A computer-implemented method of generating search queries based on digitized audio from conversations, the method executable by a computer including a processor and memory, comprising: providing a database stored in the memory containing a global hot-list comprising universal popular keywords or keyword phrases and containing a personalized entity list comprising keywords and keyword phrases used with a frequency above a determined threshold value in conversations involving a user; monitoring a conversation between at least two people, at least one of which is the user; identifying, by the processor, words or phrases in digitized audio of the monitored conversation through speech recognition; comparing, by the processor, the identified words or phrases to the keywords and keyword phrases in the database to find any matches; generating, by the processor, a search string, without the user requesting a search, based on words or phrases found to match the keyword or keyword phrases stored in the database; submitting, by the computer, the search string to a search engine as a search query; and serving, by the computer, a set of search results returned by the search engine based on the submitted search string to a display device of the user. | 1. A computer-implemented method of generating search queries based on digitized audio from conversations, the method executable by a computer including a processor and memory, comprising: providing a database stored in the memory containing a global hot-list comprising universal popular keywords or keyword phrases and containing a personalized entity list comprising keywords and keyword phrases used with a frequency above a determined threshold value in conversations involving a user; monitoring a conversation between at least two people, at least one of which is the user; identifying, by the processor, words or phrases in digitized audio of the monitored conversation through speech recognition; comparing, by the processor, the identified words or phrases to the keywords and keyword phrases in the database to find any matches; generating, by the processor, a search string, without the user requesting a search, based on words or phrases found to match the keyword or keyword phrases stored in the database; submitting, by the computer, the search string to a search engine as a search query; and serving, by the computer, a set of search results returned by the search engine based on the submitted search string to a display device of the user. 6. The method of claim 1 , wherein the personalized entity list comprises words selected from the group consisting of movies, contacts in an address book, favorite restaurants, favorite news types, favorite travel destinations, favorite foods, celebrities, and combinations thereof. | 0.755208 |
7,734,823 | 1 | 14 | 1. A computer-implemented method performed on a server in a network, comprising: storing in the server a structured document associated with an application that is executable on the server, the structured document defining a request URL mapping to the application and at least one rule for composing an instance of the application on the server using a set of one or more components, each of the components being defined in the structured document by a URI-addressable path and being one of: a presentation component, a code component and a data component; responsive to receipt at the server of a client request from a client, evaluating the client request; if the client request includes the request URL mapping to the application, retrieving the structured document associated with the application; using the structured document to compose an instance of the application on the server that includes the one or more components as defined in the structured document; generating a response to the client request using the instance of the application that has been composed on the server upon receipt of the client request; delivering the response to the client; after a given time period following delivery of the response, invalidating at least one component in the instance of the application so that the instance of the application is no longer available to respond to new client requests received at the server; and automatically invalidating any other component that was derived from the at least one component when the instance of the application was composed. | 1. A computer-implemented method performed on a server in a network, comprising: storing in the server a structured document associated with an application that is executable on the server, the structured document defining a request URL mapping to the application and at least one rule for composing an instance of the application on the server using a set of one or more components, each of the components being defined in the structured document by a URI-addressable path and being one of: a presentation component, a code component and a data component; responsive to receipt at the server of a client request from a client, evaluating the client request; if the client request includes the request URL mapping to the application, retrieving the structured document associated with the application; using the structured document to compose an instance of the application on the server that includes the one or more components as defined in the structured document; generating a response to the client request using the instance of the application that has been composed on the server upon receipt of the client request; delivering the response to the client; after a given time period following delivery of the response, invalidating at least one component in the instance of the application so that the instance of the application is no longer available to respond to new client requests received at the server; and automatically invalidating any other component that was derived from the at least one component when the instance of the application was composed. 14. The method as described in claim 1 wherein the set of one or more components comprises a plurality of components and a subset of the components is homogenous. | 0.595 |
9,110,501 | 1 | 2 | 1. A method for detecting and classifying talking segments of a face in a visual cue in order to infer emotions, the method comprising: normalizing and localizing a face region for each frame of the visual cue; obtaining a histogram of structure descriptive features of the face for the frame in the visual cue; deriving an integrated gradient histogram (IGH) from the descriptive features for the frame in the visual cue; computing entropy of the IGH for the frame in the visual cue; performing segmentation of the IGH to detect talking segments for the face in the visual cues; and analyzing the segments for the frame in the visual cues to infer emotions. | 1. A method for detecting and classifying talking segments of a face in a visual cue in order to infer emotions, the method comprising: normalizing and localizing a face region for each frame of the visual cue; obtaining a histogram of structure descriptive features of the face for the frame in the visual cue; deriving an integrated gradient histogram (IGH) from the descriptive features for the frame in the visual cue; computing entropy of the IGH for the frame in the visual cue; performing segmentation of the IGH to detect talking segments for the face in the visual cues; and analyzing the segments for the frame in the visual cues to infer emotions. 2. The method of claim 1 , wherein the normalizing comprises employing pupil location to normalize a face image of the face for the frame of the visual cue. | 0.826281 |
8,626,054 | 38 | 39 | 38. The computer-readable storage medium of claim 36 , wherein the instructions, when executed, cause the computer system to execute steps comprising: generating a flat file for the essay, the flat file including an entry for the identified sentence. | 38. The computer-readable storage medium of claim 36 , wherein the instructions, when executed, cause the computer system to execute steps comprising: generating a flat file for the essay, the flat file including an entry for the identified sentence. 39. The computer-readable storage medium of claim 38 , wherein the entry for the identified sentence includes a string of features separated by commas. | 0.939793 |
8,050,918 | 7 | 12 | 7. A tangible computer-readable storage device encoded with instructions which, when executed by a computer, cause the computer to perform a method of evaluating grammars associated with a voice portal, the method comprising: generating, for a current grammar of the voice portal representing a valid input for a first menu of the voice portal, a test input, the test input for the current grammar including a test pattern; providing the test input to the voice portal; receiving at least one measure of how distinguishable the current grammar is from other grammars of a set of active grammars that are active when the current grammar is active, the set of active grammars including the current grammar and at least one grammar from a second menu of the voice portal, the at least one measure based at least in part on analysis of the test pattern with respect to the set of active grammars, the at least one measure comprising at least one measure of how distinguishable the current grammar is from the at least one grammar from the second menu of the voice portal; and determining, based at least in part on the at least one measure, whether to modify the current grammar from the first menu to be distinguishable from the at least one grammar from the second menu. | 7. A tangible computer-readable storage device encoded with instructions which, when executed by a computer, cause the computer to perform a method of evaluating grammars associated with a voice portal, the method comprising: generating, for a current grammar of the voice portal representing a valid input for a first menu of the voice portal, a test input, the test input for the current grammar including a test pattern; providing the test input to the voice portal; receiving at least one measure of how distinguishable the current grammar is from other grammars of a set of active grammars that are active when the current grammar is active, the set of active grammars including the current grammar and at least one grammar from a second menu of the voice portal, the at least one measure based at least in part on analysis of the test pattern with respect to the set of active grammars, the at least one measure comprising at least one measure of how distinguishable the current grammar is from the at least one grammar from the second menu of the voice portal; and determining, based at least in part on the at least one measure, whether to modify the current grammar from the first menu to be distinguishable from the at least one grammar from the second menu. 12. The tangible computer-readable storage device of claim 7 , wherein the method further comprises modifying the test pattern to emulate the influence of one or more communications network qualities prior to providing the test input to the voice portal. | 0.764378 |
9,946,770 | 1 | 3 | 1. A method for searching key words, comprising: obtaining, by a terminal device, a key word typed in a search box; sending, by the terminal device, a search request based on the obtained key word; obtaining, by the terminal device, a first set of directly associated words of the key word from a keyword database based on a matching between the search request and the keyword database, and obtaining a summary extracted from search results queried using the first set of directly associated words; obtaining, by the terminal device, a second set of indirectly associated words of the key word; displaying, by the terminal device as a list, the first set of directly associated words and the second set of indirectly associated words along with but below the first set of directly associated words in the search box; upon displaying the list, triggering a time measurement by the terminal device to acquire a user dwell time on the displayed first set of associated words; monitoring and determining that the user dwell time on the displayed directly associated words has reached a predetermined threshold user dwell time; and displaying, by the terminal device upon determining that the user dwell time has reached the predetermined threshold user dwell time, the summary extracted from the search results along with the displayed first set of associated words. | 1. A method for searching key words, comprising: obtaining, by a terminal device, a key word typed in a search box; sending, by the terminal device, a search request based on the obtained key word; obtaining, by the terminal device, a first set of directly associated words of the key word from a keyword database based on a matching between the search request and the keyword database, and obtaining a summary extracted from search results queried using the first set of directly associated words; obtaining, by the terminal device, a second set of indirectly associated words of the key word; displaying, by the terminal device as a list, the first set of directly associated words and the second set of indirectly associated words along with but below the first set of directly associated words in the search box; upon displaying the list, triggering a time measurement by the terminal device to acquire a user dwell time on the displayed first set of associated words; monitoring and determining that the user dwell time on the displayed directly associated words has reached a predetermined threshold user dwell time; and displaying, by the terminal device upon determining that the user dwell time has reached the predetermined threshold user dwell time, the summary extracted from the search results along with the displayed first set of associated words. 3. The method of claim 1 , wherein the second set of indirectly associated words of the key word comprise words from the keyword database that are associated with but not direct match of the key word. | 0.775785 |
7,813,912 | 15 | 18 | 15. A computer program product comprising: a computer-usable medium having stored thereon computer-usable program code that profiles a hardware system, said computer program product including: computer-usable program code that compiles a high level language program into an assembly language representation of a hardware system, wherein the high level language program is specified using a language other than a hardware description language; computer-usable program code that translates instructions of an assembly language representation of the hardware system into a plurality of executable, software models; wherein each software model corresponds to a respective one of the assembly language instructions, and the models are communicatively linked by FIFOs to form a pipelined architecture; computer-usable program code that instruments at least one of the plurality of models with code that causes operational information relating to the model to be provided as output; wherein the operating state information includes read state data, the at least one model is in a read state while the at least one model is waiting for data from another model to appear on an input FIFO to the at least one model, and the read state data indicates a number of consecutive cycles the at least one model is in the read state; and computer-usable program code that indicates expected behavior of the circuit by executing the models. | 15. A computer program product comprising: a computer-usable medium having stored thereon computer-usable program code that profiles a hardware system, said computer program product including: computer-usable program code that compiles a high level language program into an assembly language representation of a hardware system, wherein the high level language program is specified using a language other than a hardware description language; computer-usable program code that translates instructions of an assembly language representation of the hardware system into a plurality of executable, software models; wherein each software model corresponds to a respective one of the assembly language instructions, and the models are communicatively linked by FIFOs to form a pipelined architecture; computer-usable program code that instruments at least one of the plurality of models with code that causes operational information relating to the model to be provided as output; wherein the operating state information includes read state data, the at least one model is in a read state while the at least one model is waiting for data from another model to appear on an input FIFO to the at least one model, and the read state data indicates a number of consecutive cycles the at least one model is in the read state; and computer-usable program code that indicates expected behavior of the circuit by executing the models. 18. The computer program product of claim 15 , wherein the models are hardware description language (HDL) models implemented using an HDL, wherein the computer-usable program code that translates instructions of the assembly language representation further comprises: computer-usable program code that creates HDL models of hardware components for the circuit design according to instructions of the assembly language; and computer-usable program code that creates HDL models of first-in-first-outs that couple the HDL models of hardware components for the circuit design according to operands of the instructions of the assembly language representation. | 0.510479 |
7,996,416 | 9 | 16 | 9. A machine-readable storage medium having instructions therein, which when executed by a processor, cause the processor to perform a method, the method comprising: receiving, at an object-relational mapping (ORM) unit communicatively coupled to a relational database, a first structured query language (SQL) query statement for accessing the relational database, the first SQL query statement being received from a client application programmed in an object-oriented programming language, wherein the first SQL query statement is represented by a data object associated with the object-oriented programming language which is incompatible with a format of the relational database, and wherein the first SQL query statement includes a wildcard parameter that is not recognizable by the relational database; generating, by a query analyzer of the ORM unit, a syntax tree representing semantic information of the first SQL query statement; predicting, by a data type predictor of the ORM unit, a data type of the wildcard parameter based on the semantic information obtained from the syntax tree in view of a structure representing the syntax tree; generating, by the object-relational mapping (ORM) unit, a second SQL query statement that is tailored to the format of the relational database, the second SQL query statement including a parameter representing the wildcard parameter of the first SQL query statement, wherein a data type of the parameter of the second SQL query statement is specified using the predicted data type; and transmitting the second SQL query statement from the ORM unit to the relational database to access the relational database. | 9. A machine-readable storage medium having instructions therein, which when executed by a processor, cause the processor to perform a method, the method comprising: receiving, at an object-relational mapping (ORM) unit communicatively coupled to a relational database, a first structured query language (SQL) query statement for accessing the relational database, the first SQL query statement being received from a client application programmed in an object-oriented programming language, wherein the first SQL query statement is represented by a data object associated with the object-oriented programming language which is incompatible with a format of the relational database, and wherein the first SQL query statement includes a wildcard parameter that is not recognizable by the relational database; generating, by a query analyzer of the ORM unit, a syntax tree representing semantic information of the first SQL query statement; predicting, by a data type predictor of the ORM unit, a data type of the wildcard parameter based on the semantic information obtained from the syntax tree in view of a structure representing the syntax tree; generating, by the object-relational mapping (ORM) unit, a second SQL query statement that is tailored to the format of the relational database, the second SQL query statement including a parameter representing the wildcard parameter of the first SQL query statement, wherein a data type of the parameter of the second SQL query statement is specified using the predicted data type; and transmitting the second SQL query statement from the ORM unit to the relational database to access the relational database. 16. The machine-readable storage medium of claim 9 , wherein the prediction of the data type is performed only if the parameter of the first SQL query statement is a wildcard parameter. | 0.755291 |
9,811,728 | 3 | 4 | 3. The method of claim 2 , wherein the second document is the document. | 3. The method of claim 2 , wherein the second document is the document. 4. The method of claim 3 , wherein the second portion of the second document is the same as the captured portion of the document. | 0.961879 |
8,990,246 | 17 | 29 | 17. A non-transitory computer-readable storage medium that stores instructions which, when executed by one or more processors, cause the one or more processors to perform steps comprising: receiving an original question from a user; generating two or more queries based on the original question; submitting each of the two or more queries to a search engine; for each particular query of the two or more queries, receiving, from the search engine, a separate search engine result for that particular query, thereby receiving a plurality of search engine results; wherein the search engine result for each particular query corresponds to a separate document set; wherein the plurality of search engine results correspond to a plurality of document sets; generating a single concept set based on term in documents from the plurality of search engine results; wherein the single concept set is generated by, for each search engine result in the plurality of search engine results, identifying terms in documents from the search engine results, and adding at least a subset of said terms to said single concept set; using the single concept set to determine how to respond to the original question by performing at least one of: generating a refined set of search results for the original question based on the single concept set, and returning the refined set of search results as a response to the original question; or using the single concept set to identify questions similar to the original question; wherein the steps are performed by one or more computing devices. | 17. A non-transitory computer-readable storage medium that stores instructions which, when executed by one or more processors, cause the one or more processors to perform steps comprising: receiving an original question from a user; generating two or more queries based on the original question; submitting each of the two or more queries to a search engine; for each particular query of the two or more queries, receiving, from the search engine, a separate search engine result for that particular query, thereby receiving a plurality of search engine results; wherein the search engine result for each particular query corresponds to a separate document set; wherein the plurality of search engine results correspond to a plurality of document sets; generating a single concept set based on term in documents from the plurality of search engine results; wherein the single concept set is generated by, for each search engine result in the plurality of search engine results, identifying terms in documents from the search engine results, and adding at least a subset of said terms to said single concept set; using the single concept set to determine how to respond to the original question by performing at least one of: generating a refined set of search results for the original question based on the single concept set, and returning the refined set of search results as a response to the original question; or using the single concept set to identify questions similar to the original question; wherein the steps are performed by one or more computing devices. 29. The non-transitory computer-readable storage medium of claim 17 , wherein the steps further comprise: for each particular term identified in each particular document set of the plurality of document sets, (1) determining, for the particular term, a plurality of rank scores that indicate, for each particular document in the particular document set, a rank of the particular term within that particular document relative to other terms within that particular document, and then (2) determining an aggregate score for the particular term based at least in part on the plurality of rank scores; for each particular query of the two or more queries, selecting a subset of the terms identified in the document set generated by that particular query based at least in part on the aggregate scores determined for terms identified in the document set generated by that query, thereby generating a separate topical term subset for each particular query of the two or more queries; and for each selected term selected for inclusion in a topical term subset, determining a final score for that that selected term based at least in part on a quantity of topical term subsets in which that selected term occurs. | 0.628015 |
8,091,067 | 1 | 6 | 1. A method for hosting a programming environment and processing user input, the method comprising the step of: (a) receiving, during a first session between a user and an interaction environment, via one of a plurality of media gateways, a definition of an expression type, the definition specifying an expression format and a response type; (b) storing the definition of the expression type; (c) receiving, during a second session between a second user and the interaction environment, via one of a plurality of media gateways, from the second user, an expression having a semantic structure; (d) evaluating the semantic structure of the expression; (e) identifying an expression format of the received expression as the expression format specified by the definition of the expression type, responsive to the evaluation of the semantic structure; and (f) generating a response to the expression based on the identified expression format and responsive to an execution of a computer program associated with the response type specified by the definition of the expression type. | 1. A method for hosting a programming environment and processing user input, the method comprising the step of: (a) receiving, during a first session between a user and an interaction environment, via one of a plurality of media gateways, a definition of an expression type, the definition specifying an expression format and a response type; (b) storing the definition of the expression type; (c) receiving, during a second session between a second user and the interaction environment, via one of a plurality of media gateways, from the second user, an expression having a semantic structure; (d) evaluating the semantic structure of the expression; (e) identifying an expression format of the received expression as the expression format specified by the definition of the expression type, responsive to the evaluation of the semantic structure; and (f) generating a response to the expression based on the identified expression format and responsive to an execution of a computer program associated with the response type specified by the definition of the expression type. 6. The method of claim 1 , wherein step (a) further comprises receiving, during the first session, via one of the plurality of media gateways, the definition of an expression type, the definition specifying an expression format identifying a linguistic pattern of an expression having the expression type. | 0.765745 |
8,204,950 | 19 | 23 | 19. A non-transitory machine-readable media having stored thereon a series of instructions which, when executed by a processor, cause the processor to provide a webpage including an in-page search function by: displaying, with a web browser, a visible portion of a webpage, the webpage comprising: markup text comprising text and formatting tags that format the text according to a markup language; executable code that performs an in-page search of contents of the webpage, the executable code being independent of search functionality of the web browser and included in the markup text; and an element that receives a user's search criteria; reading the user's search criteria with the executable code; searching contents of the webpage with the executable code to identify text matching the search criteria; providing on the webpage, with the executable code, a set of user interface controls for the user to select text formatting options for text identified as matching the search criteria; modifying, with the execution code, a set of markup tags corresponding to the identified text in accordance with the text formatting options selected by the user, based on a determination that the identified text matches the search criteria, to change the appearance of the identified text relative to other text on the webpage, wherein the modified set of markup tags make the identified text a hyperlink allowing the user to jump to a next match on the webpage, wherein modifying the set of markup tags corresponding to the identified text comprises: removing the identified text from the webpage using the executable code; adding formatting instructions in front of and behind the removed identified text using the executable code; and reinserting the removed identified text and the added formatting instructions into the webpage at an original location of the removed identified text; and redisplaying, with the executable code, the visible portion of the webpage with the set of modified markup tags. | 19. A non-transitory machine-readable media having stored thereon a series of instructions which, when executed by a processor, cause the processor to provide a webpage including an in-page search function by: displaying, with a web browser, a visible portion of a webpage, the webpage comprising: markup text comprising text and formatting tags that format the text according to a markup language; executable code that performs an in-page search of contents of the webpage, the executable code being independent of search functionality of the web browser and included in the markup text; and an element that receives a user's search criteria; reading the user's search criteria with the executable code; searching contents of the webpage with the executable code to identify text matching the search criteria; providing on the webpage, with the executable code, a set of user interface controls for the user to select text formatting options for text identified as matching the search criteria; modifying, with the execution code, a set of markup tags corresponding to the identified text in accordance with the text formatting options selected by the user, based on a determination that the identified text matches the search criteria, to change the appearance of the identified text relative to other text on the webpage, wherein the modified set of markup tags make the identified text a hyperlink allowing the user to jump to a next match on the webpage, wherein modifying the set of markup tags corresponding to the identified text comprises: removing the identified text from the webpage using the executable code; adding formatting instructions in front of and behind the removed identified text using the executable code; and reinserting the removed identified text and the added formatting instructions into the webpage at an original location of the removed identified text; and redisplaying, with the executable code, the visible portion of the webpage with the set of modified markup tags. 23. The machine-readable media of claim 19 , wherein the element of the webpage comprises a search box. | 0.773128 |
7,693,714 | 18 | 19 | 18. A system for use in communicating speech signals to a receiving party, the system comprising: a transducer for converting speech utterances of a speaker into a wideband electronic waveform; a speaker-dependent data generator adapted to generate speaker-dependent data correlating narrowband versions of speech utterances of the speaker with corresponding wideband versions of the speech utterances of the speaker, where the wideband versions of the speech utterances of the speaker correspond to the wideband electronic waveform provided through operation of the transducer; a transmitter adapted to transmit the speaker-dependent data as well as a narrowband signal corresponding to a narrowband version of the speech utterances of the speaker, where the narrowband version of the speech utterances of the speaker comprise the speech utterances that are to be communicated to a receiving party. | 18. A system for use in communicating speech signals to a receiving party, the system comprising: a transducer for converting speech utterances of a speaker into a wideband electronic waveform; a speaker-dependent data generator adapted to generate speaker-dependent data correlating narrowband versions of speech utterances of the speaker with corresponding wideband versions of the speech utterances of the speaker, where the wideband versions of the speech utterances of the speaker correspond to the wideband electronic waveform provided through operation of the transducer; a transmitter adapted to transmit the speaker-dependent data as well as a narrowband signal corresponding to a narrowband version of the speech utterances of the speaker, where the narrowband version of the speech utterances of the speaker comprise the speech utterances that are to be communicated to a receiving party. 19. The system of claim 18 , where the speaker-dependent data generator comprises: a wideband linear predictive code generator adapted to generate linear predictive codes for wideband versions of the speech utterances using wideband electronic waveforms provided through operation of the transducer; a narrowband filter generating narrowband versions of speech utterances of the speaker using wideband electronic waveforms provided through operation of the transducer; a narrowband linear predictive code generator adapted to generate linear predictive codes for narrowband versions of the speech utterances provided by the narrowband filter; and a correlator for associating the linear predictive codes generated by the wideband linear predictive code generator with the linear predictive codes generated by the narrowband linear predictive code generator. | 0.642022 |
8,370,126 | 18 | 22 | 18. The computer program product of claim 17 , wherein combining the text phrase of the abstract phrase and the text value comprises: combining the text phrase of the abstract phrase and the text value comprises: creating a delimited phrase, comprising: inserting the text value into the abstract phrase at the particular position indicated by the variable; and inserting a delimiter before and/or after the inserted text value; and wherein applying the integration rule comprises: determining whether the delimited phrase satisfies a condition of the rule, the determining based at least in part on the location of a delimiter within the delimited phrase; responsive to the determination, performing an action of the rule, the action comprising modifying the delimited phrase; and wherein the method further comprises: creating an integrated phrase, comprising removing delimiters from the delimited phrase. | 18. The computer program product of claim 17 , wherein combining the text phrase of the abstract phrase and the text value comprises: combining the text phrase of the abstract phrase and the text value comprises: creating a delimited phrase, comprising: inserting the text value into the abstract phrase at the particular position indicated by the variable; and inserting a delimiter before and/or after the inserted text value; and wherein applying the integration rule comprises: determining whether the delimited phrase satisfies a condition of the rule, the determining based at least in part on the location of a delimiter within the delimited phrase; responsive to the determination, performing an action of the rule, the action comprising modifying the delimited phrase; and wherein the method further comprises: creating an integrated phrase, comprising removing delimiters from the delimited phrase. 22. The computer program product of claim 18 , wherein the computer code is further configured for: prior to applying the rule, removing a markup element from the delimited phrase, the markup element at a particular markup location within the delimited phrase; and after applying the rule, re-inserting the markup element in the delimited phrase at the particular markup location. | 0.790979 |
8,892,872 | 10 | 11 | 10. An apparatus for accessing a redacted document, the apparatus comprising: a processor; and a memory coupled to the processor and including computer readable instructions that, when executed by the processor, are configured to cause the processor to: execute a viewing application for viewing documents, the viewing application comprising: standard code for the viewing application that can not process a container data type; and custom code configured to allow the viewing application to process a container data type; receive a container from a remote computing device comprising: a set of redacted documents corresponding to an original document, each redacted document having a level of redaction corresponding to a viewing location; and a header comprising encryption information for each redacted document in the set of redacted documents; process the container based on a location of the computing device and the custom code; execute a second viewing application for viewing documents, wherein the second viewing application is not configured to process the container data type; open the container using the second viewing application; and display, using the second viewing application, a placeholder document in place of any redacted documents from the set of redacted documents in the container. | 10. An apparatus for accessing a redacted document, the apparatus comprising: a processor; and a memory coupled to the processor and including computer readable instructions that, when executed by the processor, are configured to cause the processor to: execute a viewing application for viewing documents, the viewing application comprising: standard code for the viewing application that can not process a container data type; and custom code configured to allow the viewing application to process a container data type; receive a container from a remote computing device comprising: a set of redacted documents corresponding to an original document, each redacted document having a level of redaction corresponding to a viewing location; and a header comprising encryption information for each redacted document in the set of redacted documents; process the container based on a location of the computing device and the custom code; execute a second viewing application for viewing documents, wherein the second viewing application is not configured to process the container data type; open the container using the second viewing application; and display, using the second viewing application, a placeholder document in place of any redacted documents from the set of redacted documents in the container. 11. The apparatus of claim 10 , wherein processing the container comprises: storing a set of custom actions for the container data type; intercepting an application call from the viewing application to perform an action to the container; selecting a custom action from the set of custom actions based on the intercepted application call; and executing the custom action instead of the application call. | 0.501241 |
9,576,400 | 23 | 31 | 23. A system for editing avatars, comprising: one or more processors; a computer-readable medium coupled to the one or more processors and storing instructions, which, when executed by the one or more processors, causes the one or more processors to perform operations, comprising: presenting an avatar editing environment on a display of a device, the avatar editing environment including a plurality of editing zones; displaying an avatar model in the avatar editing environment, the avatar model including a plurality of avatar elements, each avatar element positioned in a respective editing zone; receiving first input selecting an editing zone; in response to receiving the first input, displaying, in the selected editing zone and in an image layer either over or below an avatar element image layer displayed in the selected editing zone, the avatar element image layer including the avatar element, selection elements selectable to modify the avatar element displayed in the selected editing zone, the selection elements displayed on either side of the avatar element; receiving a second input selecting a selection element; in response to receiving the second input, displaying a different avatar element in place of the avatar element in the selected editing zone; and rendering the avatar model in the avatar editing environment, the avatar model including the different avatar element. | 23. A system for editing avatars, comprising: one or more processors; a computer-readable medium coupled to the one or more processors and storing instructions, which, when executed by the one or more processors, causes the one or more processors to perform operations, comprising: presenting an avatar editing environment on a display of a device, the avatar editing environment including a plurality of editing zones; displaying an avatar model in the avatar editing environment, the avatar model including a plurality of avatar elements, each avatar element positioned in a respective editing zone; receiving first input selecting an editing zone; in response to receiving the first input, displaying, in the selected editing zone and in an image layer either over or below an avatar element image layer displayed in the selected editing zone, the avatar element image layer including the avatar element, selection elements selectable to modify the avatar element displayed in the selected editing zone, the selection elements displayed on either side of the avatar element; receiving a second input selecting a selection element; in response to receiving the second input, displaying a different avatar element in place of the avatar element in the selected editing zone; and rendering the avatar model in the avatar editing environment, the avatar model including the different avatar element. 31. The system of claim 23 , the operations further comprising: defining an editing region surrounding the avatar element; and restricting the manual editing to within the editing region where the manual editing is restricted to an editing region associated with the avatar element. | 0.751323 |
9,436,779 | 1 | 7 | 1. A computer-implemented method comprising: causing execution of an index generation statement identifying a plurality of path expressions and a plurality of columns of a first table for indexing a collection of documents, wherein said plurality of path expressions identify less than all nodes in the collection of documents; wherein for each column of said plurality of columns, said index generation statement specifies an association between said each column and a respective path expression of said plurality of path expressions; wherein execution of said index generation statement causes generation of said first table, wherein the first table comprises a first set of entries; wherein for each column of the plurality of columns of said first table, each entry of the first set of entries contains a node value of a node identified by the respective path expression of said each column, said node value being from a document of said collection of documents; wherein the collection of documents is also indexed by a second table, wherein the second table comprises a second set of entries, each entry in the second set of entries: being associated with a given node of a document in the collection of documents, and including location data for locating content in the document, wherein the content is associated with the given node and path data that corresponds to a path to the given node in the document; intercepting, by a database system, a query for first information from a collection of documents, wherein the query for first information does not reference said first table and said second table; said database system rewriting the query for first information to generate a rewritten query that references said first table and said second table; wherein the query comprises one or more predicates; based on the rewritten query, said database system generating a first query plan using both the first table and the second table, wherein the first query plan, when executed by the database system, causes the database system to perform: identifying one or more first entries from the first table that contain a node value that satisfies the one or more predicates; extracting second information from the one or more first entries identified from the first table; extracting, using the second information, the first information from one or more second entries in the second table; wherein the first table and the second table are two different tables. | 1. A computer-implemented method comprising: causing execution of an index generation statement identifying a plurality of path expressions and a plurality of columns of a first table for indexing a collection of documents, wherein said plurality of path expressions identify less than all nodes in the collection of documents; wherein for each column of said plurality of columns, said index generation statement specifies an association between said each column and a respective path expression of said plurality of path expressions; wherein execution of said index generation statement causes generation of said first table, wherein the first table comprises a first set of entries; wherein for each column of the plurality of columns of said first table, each entry of the first set of entries contains a node value of a node identified by the respective path expression of said each column, said node value being from a document of said collection of documents; wherein the collection of documents is also indexed by a second table, wherein the second table comprises a second set of entries, each entry in the second set of entries: being associated with a given node of a document in the collection of documents, and including location data for locating content in the document, wherein the content is associated with the given node and path data that corresponds to a path to the given node in the document; intercepting, by a database system, a query for first information from a collection of documents, wherein the query for first information does not reference said first table and said second table; said database system rewriting the query for first information to generate a rewritten query that references said first table and said second table; wherein the query comprises one or more predicates; based on the rewritten query, said database system generating a first query plan using both the first table and the second table, wherein the first query plan, when executed by the database system, causes the database system to perform: identifying one or more first entries from the first table that contain a node value that satisfies the one or more predicates; extracting second information from the one or more first entries identified from the first table; extracting, using the second information, the first information from one or more second entries in the second table; wherein the first table and the second table are two different tables. 7. The method of claim 1 , wherein the first table includes one or more references to a set of additional tables, and wherein the one or more references to the set of additional tables create a table chain. | 0.850508 |
8,515,984 | 1 | 13 | 1. A method in a search term suggestion engine of a computing device, the method comprising: receiving characters of user data as the characters are input, wherein the user data is at least part of a search term to be provided to a first application to search for the search term, wherein the first application is one of multiple applications on the computing device; receiving, from the first application, an indication of multiple suggestion sources; obtaining, from each of two or more of the multiple suggestion sources, one or more suggested search terms based on the received characters; combining the one or more suggested search terms into a combined set of suggested search terms; and returning the combined set of suggested search terms to a search user interface for presentation to a user, the returning including returning first suggested search terms received from a first one or more of the multiple suggestion sources within a threshold amount of time, waiting until second suggested search terms are received from a second one or more of the multiple suggestion sources, and returning, after returning the first suggested search terms, the second suggested search terms to the search user interface. | 1. A method in a search term suggestion engine of a computing device, the method comprising: receiving characters of user data as the characters are input, wherein the user data is at least part of a search term to be provided to a first application to search for the search term, wherein the first application is one of multiple applications on the computing device; receiving, from the first application, an indication of multiple suggestion sources; obtaining, from each of two or more of the multiple suggestion sources, one or more suggested search terms based on the received characters; combining the one or more suggested search terms into a combined set of suggested search terms; and returning the combined set of suggested search terms to a search user interface for presentation to a user, the returning including returning first suggested search terms received from a first one or more of the multiple suggestion sources within a threshold amount of time, waiting until second suggested search terms are received from a second one or more of the multiple suggestion sources, and returning, after returning the first suggested search terms, the second suggested search terms to the search user interface. 13. A method as recited in claim 1 , further comprising returning third suggested search terms received from a third one or more of the multiple suggestion sources within the threshold amount of time with the second suggested search terms if the third suggested search terms are to be included later in the combined list than the second suggested search terms. | 0.842244 |
8,843,372 | 5 | 8 | 5. A method for analyzing human speech, comprising: providing a computer, providing a microphone operably connected to said computer and arranged to receive turns made by a human speaker, providing a software program operable in said computer for recognizing said turns, storing all of said turns in an archival database, analyzing said turns using said software program to identify said human speaker, to recognize words and sounds uttered by said speaker, to recognize both turns and arrays of turns taken by said speaker, and to store the resultant analysis of said turns and arrays of said turns in a data stream record, whereby said archival database contains a record of all of said turns and said data stream record contains said analysis of said turns. | 5. A method for analyzing human speech, comprising: providing a computer, providing a microphone operably connected to said computer and arranged to receive turns made by a human speaker, providing a software program operable in said computer for recognizing said turns, storing all of said turns in an archival database, analyzing said turns using said software program to identify said human speaker, to recognize words and sounds uttered by said speaker, to recognize both turns and arrays of turns taken by said speaker, and to store the resultant analysis of said turns and arrays of said turns in a data stream record, whereby said archival database contains a record of all of said turns and said data stream record contains said analysis of said turns. 8. The method of claim 5 , further including a recording device for recording said human speech. | 0.950464 |
7,613,732 | 14 | 17 | 14. An article comprising: a storage medium having a plurality of machine accessible instructions, wherein when the instructions are executed by a processor, the instructions provide for: a) parsing an entry in an email addressee field; b) determining whether the entry includes a predefined notation appended to the entry, wherein the predefined notation includes a direction of traversal and a level of traversal; and c) if the entry has a predefined notation appended to the entry, traversing a hierarchy structure from a name in the entry to a designated level of the hierarchy structure based on the direction and level of traversal indicated in the predefined notation; retrieving email addresses of names listed at the designated level; and replacing the entry in the email addressee field with the email addresses retrieved from the designated level of the hierarchy structure; wherein the predefined notation defines a relationship between the names at the designated level and the name included in the entry, the predefined notation including a special character indicating if the designated level is a higher or lower level than a level of the name in the entry, and a level indicator indicating a number of levels between the designated level and the level of the name in the entry. | 14. An article comprising: a storage medium having a plurality of machine accessible instructions, wherein when the instructions are executed by a processor, the instructions provide for: a) parsing an entry in an email addressee field; b) determining whether the entry includes a predefined notation appended to the entry, wherein the predefined notation includes a direction of traversal and a level of traversal; and c) if the entry has a predefined notation appended to the entry, traversing a hierarchy structure from a name in the entry to a designated level of the hierarchy structure based on the direction and level of traversal indicated in the predefined notation; retrieving email addresses of names listed at the designated level; and replacing the entry in the email addressee field with the email addresses retrieved from the designated level of the hierarchy structure; wherein the predefined notation defines a relationship between the names at the designated level and the name included in the entry, the predefined notation including a special character indicating if the designated level is a higher or lower level than a level of the name in the entry, and a level indicator indicating a number of levels between the designated level and the level of the name in the entry. 17. The article of claim 14 , wherein instructions for traversing comprises instructions for traversing the hierarchy structure a certain level upward or downward from the name in the entry based on the special character and the level indicator. | 0.513889 |
9,715,510 | 6 | 9 | 6. One or more computer-readable hardware storage device having embedded therein a set of instructions which, when executed by one or more processors of a computer, causes the computer to execute operations comprising: receiving from a client machine an image query for a desired product that is listed for sale; computing a first digest of the image query; determining, based on the first digest, textual information that desired product; using the determined textual information as a search parameter, performing a first database textual similarity search of second digests of products listed for sale, the second digests being computed before receipt of the query from the client machine, and comprising both image features and textual information of the products, to find first images of products that satisfy the search parameter; providing to the client machine a plurality of the first images of products that result from the first textual similarity search, and at least one first selectable icon that, when selected, causes a request to find more images of products similar to at least one of the plurality of first images of products; responsive to selection of one of the at least one first selectable icon, and using textual information related to the at least one of the plurality of first images of products, performing a second textual similarity search of the second digests for second images of products similar to the at least one of the plurality of first images of products; and providing to the client machine a plurality of the second images of products that result from the second database textual similarity search. | 6. One or more computer-readable hardware storage device having embedded therein a set of instructions which, when executed by one or more processors of a computer, causes the computer to execute operations comprising: receiving from a client machine an image query for a desired product that is listed for sale; computing a first digest of the image query; determining, based on the first digest, textual information that desired product; using the determined textual information as a search parameter, performing a first database textual similarity search of second digests of products listed for sale, the second digests being computed before receipt of the query from the client machine, and comprising both image features and textual information of the products, to find first images of products that satisfy the search parameter; providing to the client machine a plurality of the first images of products that result from the first textual similarity search, and at least one first selectable icon that, when selected, causes a request to find more images of products similar to at least one of the plurality of first images of products; responsive to selection of one of the at least one first selectable icon, and using textual information related to the at least one of the plurality of first images of products, performing a second textual similarity search of the second digests for second images of products similar to the at least one of the plurality of first images of products; and providing to the client machine a plurality of the second images of products that result from the second database textual similarity search. 9. The one or more computer-readable hardware storage device of claim 6 wherein the plurality of the second images of products comprise pixels, and similarity of the second images of products to the at least one of the plurality of first images of products is determined by using textual information associated with the at least one of the plurality of first images of products as a search parameter. | 0.501247 |
6,058,259 | 1 | 4 | 1. An apparatus for automatically generating a solid model from a plurality of plan views, comprising: extraction means for extracting information related to surfaces from the plan views; first generation means for generating candidate surfaces based on the information extracted by said extraction means; second generation means for generating candidate surfaces and candidate edge lines by obtaining intersecting lines among the candidate surfaces generated by said first generation means after the candidate surfaces are generated by said first generation means; third generation means for generating candidate solids by determining combinations of the candidate surfaces generated by said second generation means after the candidate surfaces are generated by said second generation means; and selection means for collating the candidate solids generated by said third generation means with the plan views and selecting a matching candidate solid as a solid model after the candidate solids are generated by said third generation means. | 1. An apparatus for automatically generating a solid model from a plurality of plan views, comprising: extraction means for extracting information related to surfaces from the plan views; first generation means for generating candidate surfaces based on the information extracted by said extraction means; second generation means for generating candidate surfaces and candidate edge lines by obtaining intersecting lines among the candidate surfaces generated by said first generation means after the candidate surfaces are generated by said first generation means; third generation means for generating candidate solids by determining combinations of the candidate surfaces generated by said second generation means after the candidate surfaces are generated by said second generation means; and selection means for collating the candidate solids generated by said third generation means with the plan views and selecting a matching candidate solid as a solid model after the candidate solids are generated by said third generation means. 4. The apparatus as claimed in claim 1, wherein said selection means carries out a collating operation based on a polygon which circumscribes a collating portion of each of the candidate solids which are subject to the collating operation when projecting the collating portion of each of the candidate solids on the three plan views. | 0.696168 |
9,646,078 | 1 | 3 | 1. A method for extracting quotations related to a product from a document, comprising: building a span query relevant to a feature associated with the product and a sentiment about the feature by: building syntactic templates from a lexicography relevant to the feature and the sentiment about the feature, wherein each syntactic template corresponds to multiple phrasings of the same meaning, and determining a first semantic template relevant to the syntactic templates; receiving a document; applying the span query to the document to generate a span query result, wherein the span query result includes a quotation from the document relevant to the feature and the sentiment about the feature, the quotation satisfying the first semantic template and including words within relative positions as constrained by the span query; and storing the span query result. | 1. A method for extracting quotations related to a product from a document, comprising: building a span query relevant to a feature associated with the product and a sentiment about the feature by: building syntactic templates from a lexicography relevant to the feature and the sentiment about the feature, wherein each syntactic template corresponds to multiple phrasings of the same meaning, and determining a first semantic template relevant to the syntactic templates; receiving a document; applying the span query to the document to generate a span query result, wherein the span query result includes a quotation from the document relevant to the feature and the sentiment about the feature, the quotation satisfying the first semantic template and including words within relative positions as constrained by the span query; and storing the span query result. 3. The method of claim 1 wherein determining a first semantic template comprises resolving a conflict between a second and a third semantic template. | 0.876656 |
9,729,381 | 1 | 18 | 1. A method comprising: receiving geographical location information for an entity; receiving a proprietary name for the entity; and geocoding the geographical location information into a hierarchical address by first transforming the geographical location information into latitude/longitude coordinates, next transforming the latitude/longitude coordinates to reference grid coordinates, wherein a reference grid for the geographical location is selected, at least in part, according to the geographical location's proximity to a regional centroid of a candidate reference grid or a governmental jurisdiction associated with the geographical location, and determining the hierarchical address based on the location of the latitude/longitude coordinates of the geographical location of the entity within the reference grid. | 1. A method comprising: receiving geographical location information for an entity; receiving a proprietary name for the entity; and geocoding the geographical location information into a hierarchical address by first transforming the geographical location information into latitude/longitude coordinates, next transforming the latitude/longitude coordinates to reference grid coordinates, wherein a reference grid for the geographical location is selected, at least in part, according to the geographical location's proximity to a regional centroid of a candidate reference grid or a governmental jurisdiction associated with the geographical location, and determining the hierarchical address based on the location of the latitude/longitude coordinates of the geographical location of the entity within the reference grid. 18. The method of claim 1 , further including frequently updating the location-related data for an entity based on its proprietary name without changing the proprietary name, so that the data is current, accurate, and complete. | 0.773 |
9,836,646 | 11 | 12 | 11. A method according to claim 10 , further comprising the step of applying a decision model method on the updated data structure. | 11. A method according to claim 10 , further comprising the step of applying a decision model method on the updated data structure. 12. A method according to claim 11 , further comprising the steps of determining a best path in the updated data structure, and selecting the first and second character candidates corresponding to the edges in the best path as the characters in the digital image. | 0.904572 |
9,910,589 | 11 | 19 | 11. A system comprising: a display device; a processor coupled to the display device; and memory coupled to said processor and comprising instructions that, when executed by said processor, cause the system to perform a method of receiving user input, the method comprising: rendering a graphical user interface (GUI) for display on a display device, wherein the GUI comprises a virtual keyboard comprising a plurality of characters arranged in a layout, wherein each character is associated with a recognition zone, wherein a user interaction detected within the recognition zone causes the character to be selected as an input character; receiving a first user interaction with the GUI on a first location within the virtual keyboard; selecting a first character as a first input character, wherein the first character is associated with a first recognition zone encompassing the first location, wherein the first location is encompassed by an overlap zone of a plurality of recognition zones comprising the first recognition zone; computing distances from the first location to respective centers of the plurality of recognition zones; computing nonlinear normalization values of the distances; and deriving weights based on the nonlinear normalization values of the distances, wherein the first character is selected further based on the weights; automatically predicting one or more next characters based on the first input character; and adjusting recognition zones of the one or more next characters based on the predicting. | 11. A system comprising: a display device; a processor coupled to the display device; and memory coupled to said processor and comprising instructions that, when executed by said processor, cause the system to perform a method of receiving user input, the method comprising: rendering a graphical user interface (GUI) for display on a display device, wherein the GUI comprises a virtual keyboard comprising a plurality of characters arranged in a layout, wherein each character is associated with a recognition zone, wherein a user interaction detected within the recognition zone causes the character to be selected as an input character; receiving a first user interaction with the GUI on a first location within the virtual keyboard; selecting a first character as a first input character, wherein the first character is associated with a first recognition zone encompassing the first location, wherein the first location is encompassed by an overlap zone of a plurality of recognition zones comprising the first recognition zone; computing distances from the first location to respective centers of the plurality of recognition zones; computing nonlinear normalization values of the distances; and deriving weights based on the nonlinear normalization values of the distances, wherein the first character is selected further based on the weights; automatically predicting one or more next characters based on the first input character; and adjusting recognition zones of the one or more next characters based on the predicting. 19. The system according to claim 11 , wherein the predicting the one or more next characters comprises sending a query to a database, wherein the database comprises dictionary data and association rule data. | 0.721925 |
10,120,952 | 1 | 3 | 1. An application specification system, comprising: a computing device having a processor and memory wherein the processor implements an information management system having a storage unit; the storage unit having an application definition language that has an XML schema definition that defines computational and data access aspects of an application, the application hosting a web presence on the computing device, the XML schema definition of the application definition language provides a consistent definition of the computational and data access aspects of an application used to develop a new web application running on a third party system; the storage unit having one or more cells with each cell having one or more components wherein each component defines computational and data access aspects of an application and one or more presentations wherein each presentation defines a user interface for a particular application, each cell further comprising one or more lines of XML code, each component further comprising one or more lines of XML code, each web presence further comprising one or more lines of XML code, each component further comprises a widget that comprises one or more lines of XML code and component further comprises an action item that comprises one or more lines of XML code; wherein the web presence performs one or more applications that is instantiated from a cell instance that has one or more components, one or more presentations and content associated with the cell instance, the one or more applications of the web presence are defined by the application definition language and one or more components of the cell instance and the user interface of the one or more applications are defined by the one or more presentations of the cell instance wherein the one or more applications are configured to operate on the content associated with the cell instance; and wherein the web presence is one of a web site, one or more web pages and a web service. | 1. An application specification system, comprising: a computing device having a processor and memory wherein the processor implements an information management system having a storage unit; the storage unit having an application definition language that has an XML schema definition that defines computational and data access aspects of an application, the application hosting a web presence on the computing device, the XML schema definition of the application definition language provides a consistent definition of the computational and data access aspects of an application used to develop a new web application running on a third party system; the storage unit having one or more cells with each cell having one or more components wherein each component defines computational and data access aspects of an application and one or more presentations wherein each presentation defines a user interface for a particular application, each cell further comprising one or more lines of XML code, each component further comprising one or more lines of XML code, each web presence further comprising one or more lines of XML code, each component further comprises a widget that comprises one or more lines of XML code and component further comprises an action item that comprises one or more lines of XML code; wherein the web presence performs one or more applications that is instantiated from a cell instance that has one or more components, one or more presentations and content associated with the cell instance, the one or more applications of the web presence are defined by the application definition language and one or more components of the cell instance and the user interface of the one or more applications are defined by the one or more presentations of the cell instance wherein the one or more applications are configured to operate on the content associated with the cell instance; and wherein the web presence is one of a web site, one or more web pages and a web service. 3. The system of claim 1 , wherein each object is based on an abstract base type object having one or more general characteristics elements of an object and one or more semantic property elements, and a plurality of base components, each base component being a child of the abstract base type object and inheriting the one or more general characteristics, each base component being a container item kind that describes a type of object and encapsulates the particular type of object wherein each type of object associated with the system is represented by the abstract base type object and one of the base components. | 0.500809 |
7,478,192 | 21 | 23 | 21. An associative memory system comprising: a network of networks of associative memory networks, comprising: a first network of first associative memory networks, a respective first associative memory network comprising associations among a respective first observer and a plurality of observed values that are observed by the respective first observer; and a second network of second associative memory networks, a respective second associative memory network comprising associations among a respective second observer and a plurality of observed values that are observed by the respective second observer; a processing system that is configured to observe associations into, and imagine associations from, the network of networks of associative memory networks; and a result display that is configured to display information corresponding to at least one of the associations. | 21. An associative memory system comprising: a network of networks of associative memory networks, comprising: a first network of first associative memory networks, a respective first associative memory network comprising associations among a respective first observer and a plurality of observed values that are observed by the respective first observer; and a second network of second associative memory networks, a respective second associative memory network comprising associations among a respective second observer and a plurality of observed values that are observed by the respective second observer; a processing system that is configured to observe associations into, and imagine associations from, the network of networks of associative memory networks; and a result display that is configured to display information corresponding to at least one of the associations. 23. An associative memory system according to claim 21 wherein the processing system comprises: a plurality of itineraries; and a controller that is configured to control the processing system to observe associations into, and imagine associations from, the network of networks of associative memory networks, according to a selected one of the plurality of itineraries. | 0.899675 |
8,275,604 | 1 | 5 | 1. A system, comprising: one or more processors; and memory that includes a plurality of computer-executable components executable by the one or more processors, the plurality of computer-executable components comprising: a pre-processing component to process a bilingual web page into a Document Object Model (DOM) tree that includes at least one node; a seed mining component to link bilingual snippet pairs of the at least one node into a plurality of translation snippet pairs; a pattern learning component to determine one or more best fit candidate patterns based on the plurality of translation snippet pairs via a Support Vector Machine (SVM) classifier; a data mining component to mine one or more translation pairs from the bilingual web page using the one or more best fit candidate patterns; and a data storage component to store the one or more translation pairs, wherein the one or more translation pairs including at least one of a term pair, a phrase pair, or a sentence pair. | 1. A system, comprising: one or more processors; and memory that includes a plurality of computer-executable components executable by the one or more processors, the plurality of computer-executable components comprising: a pre-processing component to process a bilingual web page into a Document Object Model (DOM) tree that includes at least one node; a seed mining component to link bilingual snippet pairs of the at least one node into a plurality of translation snippet pairs; a pattern learning component to determine one or more best fit candidate patterns based on the plurality of translation snippet pairs via a Support Vector Machine (SVM) classifier; a data mining component to mine one or more translation pairs from the bilingual web page using the one or more best fit candidate patterns; and a data storage component to store the one or more translation pairs, wherein the one or more translation pairs including at least one of a term pair, a phrase pair, or a sentence pair. 5. The system of claim 1 , wherein the seed mining component is to link bilingual snippet pairs of the at least one node into the plurality of translation snippet pairs using a bilingual dictionary or a transliteration model. | 0.753289 |
8,249,857 | 14 | 19 | 14. A computer program product for multilingual administration of enterprise data, the computer program product comprising: non-transitory machine-readable medium having computer usable program code embodied therewith, the computer usable program code comprising a computer usable program code configured to, retrieve enterprise data comprising text and metadata; extract the text and the metadata from the enterprise data for rendering from a digital media file, the extracted text and the extracted metadata being in a source language; select a target language from among a plurality of target languages based on a data type for the enterprise data; translate the extracted text and the extracted metadata in the source language to translated text and translated metadata in the target language; convert the translated text to synthesized speech in the target language; and record the synthesized speech in the target language in a digital media file; and store the translated text as metadata associated with the digital media file. | 14. A computer program product for multilingual administration of enterprise data, the computer program product comprising: non-transitory machine-readable medium having computer usable program code embodied therewith, the computer usable program code comprising a computer usable program code configured to, retrieve enterprise data comprising text and metadata; extract the text and the metadata from the enterprise data for rendering from a digital media file, the extracted text and the extracted metadata being in a source language; select a target language from among a plurality of target languages based on a data type for the enterprise data; translate the extracted text and the extracted metadata in the source language to translated text and translated metadata in the target language; convert the translated text to synthesized speech in the target language; and record the synthesized speech in the target language in a digital media file; and store the translated text as metadata associated with the digital media file. 19. The computer program product of claim 14 , wherein the computer usable program code comprises computer program instructions for display the metadata describing the media file thereby rendering the translated text of the enterprise data. | 0.772296 |
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