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9,698,990 | 1 | 2 |
1. A computer-implemented method implemented by a user's hardware processor device, wherein the user creates in a repeatable manner from user-selected data including a web site name identical to data input by users of other devices with hardware processors employing the same method passwords that differ from those of the users of other devices, the method comprising: receiving in the user's hardware processor device user-selected data including a web site name generated by a user by physical manipulation of one or more user input devices; deriving, by the hardware processor, password data from the user-selected data including the web site name, wherein the password data is randomized in a deterministic manner; deriving the password data comprises: searching a device-unique predetermined electronic encoding dictionary wherein: each entry in the predetermined dictionary associates at least one character of a character of the user-selected data with a corresponding code; each code in the predetermined dictionary comprises at least one character; each entry appears at least twice in the predetermined dictionary; each entry has a different code each time it appears in the predetermined dictionary; the order of codes in the predetermined dictionary is unique for each user; beginning the search of the user-selected data wherein the data is a string of at least two characters for the code of the first character of the user-selected data at the first entry in the dictionary; resuming the search for each subsequent character in the user-selected data with the character immediately following the location in the dictionary where the previous character of the user-selected data was found; replacing each of the one or more characters of the user-selected data by a code representing each character of the string in the predetermined encoding dictionary; returning to the first entry of the dictionary to resume the search only if no entry for a character of the user-selected data is found in the remaining entries of the dictionary; beginning the search for the code for the next character in the user-selected data if no entry is found in the predetermined dictionary for the present character in the data; stopping the encoding process after a search of the predetermined dictionary has been completed for each and every character of the user-selected data and a code representing each character in the user-selected data has replaced each character of the string, thereby creating the password; and pseudo-randomly scrambling the created password using a seed unique to the user.
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1. A computer-implemented method implemented by a user's hardware processor device, wherein the user creates in a repeatable manner from user-selected data including a web site name identical to data input by users of other devices with hardware processors employing the same method passwords that differ from those of the users of other devices, the method comprising: receiving in the user's hardware processor device user-selected data including a web site name generated by a user by physical manipulation of one or more user input devices; deriving, by the hardware processor, password data from the user-selected data including the web site name, wherein the password data is randomized in a deterministic manner; deriving the password data comprises: searching a device-unique predetermined electronic encoding dictionary wherein: each entry in the predetermined dictionary associates at least one character of a character of the user-selected data with a corresponding code; each code in the predetermined dictionary comprises at least one character; each entry appears at least twice in the predetermined dictionary; each entry has a different code each time it appears in the predetermined dictionary; the order of codes in the predetermined dictionary is unique for each user; beginning the search of the user-selected data wherein the data is a string of at least two characters for the code of the first character of the user-selected data at the first entry in the dictionary; resuming the search for each subsequent character in the user-selected data with the character immediately following the location in the dictionary where the previous character of the user-selected data was found; replacing each of the one or more characters of the user-selected data by a code representing each character of the string in the predetermined encoding dictionary; returning to the first entry of the dictionary to resume the search only if no entry for a character of the user-selected data is found in the remaining entries of the dictionary; beginning the search for the code for the next character in the user-selected data if no entry is found in the predetermined dictionary for the present character in the data; stopping the encoding process after a search of the predetermined dictionary has been completed for each and every character of the user-selected data and a code representing each character in the user-selected data has replaced each character of the string, thereby creating the password; and pseudo-randomly scrambling the created password using a seed unique to the user. 2. The method of claim 1 wherein the user-selected string of characters is other than a name for a World Wide Web web site.
| 0.765267 |
9,805,718 | 27 | 39 |
27. A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, including instructions that, when executed by one or more processors, cause the one or more processors to: receive input, wherein the input is associated with an interaction with a computing device, and wherein the input includes dialog input, application input, or sensor input; determine an interaction history, wherein determining includes adding the input to the interaction history, wherein adding includes using an artificial intelligence-based model to combine the input with prior interaction history; determine a current context, wherein the current context is associated with an interaction with the computing device, and wherein the interaction includes dialog input, application input, or sensor input; receive verbal input, wherein the verbal input includes natural language, and wherein the verbal input includes a plurality of words; interpret the verbal input, wherein interpreting the verbal input includes assigning one or more attributes to the plurality of words; identify an attribute from the one or more attributes, wherein the identified attribute is associated with one or more words from the plurality of words, wherein the identified attribute indicates that the one or more words are unclear, and wherein a word is unclear when the computing system cannot recognize the word; determine that the current context and the interaction history do not clarify the one or more words; determine a type of information needed to recognize the one or more words, wherein determining includes using the one or more attributes assigned to the one or more words to identify missing information; determine a clarification question for the one or more words, wherein determining includes using the type of information, the current context, and the interaction history, wherein the clarification question is formatted to request the missing information, and wherein the format is customized using the current context and the interaction history; and output the clarification question.
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27. A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, including instructions that, when executed by one or more processors, cause the one or more processors to: receive input, wherein the input is associated with an interaction with a computing device, and wherein the input includes dialog input, application input, or sensor input; determine an interaction history, wherein determining includes adding the input to the interaction history, wherein adding includes using an artificial intelligence-based model to combine the input with prior interaction history; determine a current context, wherein the current context is associated with an interaction with the computing device, and wherein the interaction includes dialog input, application input, or sensor input; receive verbal input, wherein the verbal input includes natural language, and wherein the verbal input includes a plurality of words; interpret the verbal input, wherein interpreting the verbal input includes assigning one or more attributes to the plurality of words; identify an attribute from the one or more attributes, wherein the identified attribute is associated with one or more words from the plurality of words, wherein the identified attribute indicates that the one or more words are unclear, and wherein a word is unclear when the computing system cannot recognize the word; determine that the current context and the interaction history do not clarify the one or more words; determine a type of information needed to recognize the one or more words, wherein determining includes using the one or more attributes assigned to the one or more words to identify missing information; determine a clarification question for the one or more words, wherein determining includes using the type of information, the current context, and the interaction history, wherein the clarification question is formatted to request the missing information, and wherein the format is customized using the current context and the interaction history; and output the clarification question. 39. The computer-program product of claim 27 , further comprising instructions that, when executed by the one or more processors, cause the one or more processors to: determine one or more additional attributes from the one or more attributes, wherein the one or more attributes indicate that one or more sets of words from the plurality of words are unclear; and determine an order for the identified attribute and the one or more additional attributes, wherein the order determines an order in which to clarify the identified attribute and the one or more attributes.
| 0.5 |
9,201,797 | 8 | 9 |
8. A system comprising: one or more processors; and a computer-readable medium comprising instructions stored therein, which when executed by the processors, cause the processors to perform operations comprising: compiling a first method call at a first call site in code of an object-oriented language, wherein the first call site is associated with a first method selector; referencing a plurality of per-selector caches, each per-selector cache being associated with a respective method selector and available to multiple call sites that use the respective method selector, wherein each per-selector cache is configured to be searched based on a corresponding class identification when called from a respective call site; identifying a first per-selector cache, from among the plurality of per-selector caches, using the first method selector; and invoking a method on a first object by performing a lookup in the first per-selector cache using a first class associated with the first object to determine if a first target function exists in the first per-selector cache, wherein the lookup is performed using a hash lookup based on the first class.
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8. A system comprising: one or more processors; and a computer-readable medium comprising instructions stored therein, which when executed by the processors, cause the processors to perform operations comprising: compiling a first method call at a first call site in code of an object-oriented language, wherein the first call site is associated with a first method selector; referencing a plurality of per-selector caches, each per-selector cache being associated with a respective method selector and available to multiple call sites that use the respective method selector, wherein each per-selector cache is configured to be searched based on a corresponding class identification when called from a respective call site; identifying a first per-selector cache, from among the plurality of per-selector caches, using the first method selector; and invoking a method on a first object by performing a lookup in the first per-selector cache using a first class associated with the first object to determine if a first target function exists in the first per-selector cache, wherein the lookup is performed using a hash lookup based on the first class. 9. The system of claim 8 , wherein the first class associated with the first object comprises a unique integer identifier.
| 0.858469 |
9,665,663 | 7 | 10 |
7. An apparatus, comprising: one or more processors to: generate cross-domain recommendations for display based at least in part on real-time web browsing of a user, on a list of Web sites or Web pages to be visited by the user, and on structured and/or semi-structured parameters to be stored in memory and to be extracted from one or more Web sites or Web pages visited by the user, the generated cross-domain recommendations to comprise identification of semantic bridges via populating an ontology based, at least in part, on the list of Web sites or Web pages visited by the user and on the structured and/or semi-structured parameters to be extracted from the one or more Web sites or Web pages visited by the user.
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7. An apparatus, comprising: one or more processors to: generate cross-domain recommendations for display based at least in part on real-time web browsing of a user, on a list of Web sites or Web pages to be visited by the user, and on structured and/or semi-structured parameters to be stored in memory and to be extracted from one or more Web sites or Web pages visited by the user, the generated cross-domain recommendations to comprise identification of semantic bridges via populating an ontology based, at least in part, on the list of Web sites or Web pages visited by the user and on the structured and/or semi-structured parameters to be extracted from the one or more Web sites or Web pages visited by the user. 10. The apparatus of claim 7 , wherein the recommendations are to be based at least in part on machine-learned results to be generated from real-time web browsing.
| 0.778533 |
7,693,720 | 1 | 25 |
1. A mobile system responsive to a user generated natural language speech utterance, comprising: a speech unit connected to a computer device on a vehicle, wherein the speech unit receives a natural language speech utterance from a user and converts the received natural language speech utterance into an electronic signal; and a natural language speech processing system connected to the computer device on the vehicle, wherein the natural language speech processing system receives, processes, and responds to the electronic signal using data received from a plurality of domain agents, wherein the natural language speech processing system includes: a speech recognition engine that recognizes at least one of words or phrases from the electronic signal using at least the data received from the plurality of domain agents, wherein the data used by the speech recognition engine includes a plurality of dictionary and phrase entries that are dynamically updated based on at least a history of a current dialog and one or more prior dialogs associated with the user; a parser that interprets the recognized words or phrases, wherein the parser uses at least the data received from the plurality of domain agents to interpret the recognized words or phrases, wherein the parser interprets the recognized words or phrases by: determining a context for the natural language speech utterance; selecting at least one of the plurality of domain agents based on the determined context; and transforming the recognized words or phrases into at least one of a question or a command, wherein the at least one question or command is formulated in a grammar that the selected domain agent uses to process the formulated question or command; and an agent architecture that communicatively couples services of each of an agent manager, a system agent, the plurality of domain agents, and an agent library that includes one or more utilities that can be used by the system agent and the plurality of domain agents, wherein the selected domain agent uses the communicatively coupled services to create a response to the formulated question or command and format the response for presentation to the user.
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1. A mobile system responsive to a user generated natural language speech utterance, comprising: a speech unit connected to a computer device on a vehicle, wherein the speech unit receives a natural language speech utterance from a user and converts the received natural language speech utterance into an electronic signal; and a natural language speech processing system connected to the computer device on the vehicle, wherein the natural language speech processing system receives, processes, and responds to the electronic signal using data received from a plurality of domain agents, wherein the natural language speech processing system includes: a speech recognition engine that recognizes at least one of words or phrases from the electronic signal using at least the data received from the plurality of domain agents, wherein the data used by the speech recognition engine includes a plurality of dictionary and phrase entries that are dynamically updated based on at least a history of a current dialog and one or more prior dialogs associated with the user; a parser that interprets the recognized words or phrases, wherein the parser uses at least the data received from the plurality of domain agents to interpret the recognized words or phrases, wherein the parser interprets the recognized words or phrases by: determining a context for the natural language speech utterance; selecting at least one of the plurality of domain agents based on the determined context; and transforming the recognized words or phrases into at least one of a question or a command, wherein the at least one question or command is formulated in a grammar that the selected domain agent uses to process the formulated question or command; and an agent architecture that communicatively couples services of each of an agent manager, a system agent, the plurality of domain agents, and an agent library that includes one or more utilities that can be used by the system agent and the plurality of domain agents, wherein the selected domain agent uses the communicatively coupled services to create a response to the formulated question or command and format the response for presentation to the user. 25. The mobile system according to claim 1 , wherein the communicatively coupled services include at least one shared network resource.
| 0.896472 |
9,846,728 | 8 | 10 |
8. The computing system of claim 7 , wherein selecting the third user with which the first user and the second user interact includes identifying that: (i) the first user subscribed to the third user so as to receive messages submitted by the third user, and (ii) the second user subscribed to the third user so as to receive messages submitted by the third user.
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8. The computing system of claim 7 , wherein selecting the third user with which the first user and the second user interact includes identifying that: (i) the first user subscribed to the third user so as to receive messages submitted by the third user, and (ii) the second user subscribed to the third user so as to receive messages submitted by the third user. 10. The computing system of claim 8 , wherein selecting the third user with which the first user and the second user interact includes identifying that the first user has subscribed to another user who is connected in a chain of one or more subscribing users back to the third user.
| 0.612637 |
10,089,390 | 6 | 8 |
6. A computer program product for producing a global model describing a collection of documents comprising: a non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable program code configured to access a collection of documents, the collection of documents comprising labeled documents and unlabeled documents; computer readable program code configured to receive input of at least one indicative word, wherein the at least one indicative word comprises a descriptive word for classification and wherein the at least one indicative word indicates a probability of belonging to a classification based upon the indicative word occurring in a document during classification; computer readable program code configured to classify both labeled documents and unlabeled documents of the collection of documents to produce classified documents of one or more types, via producing a domain sub-model for each document type, wherein the domain sub-model represents a graphical representation of a set of concepts contained within each document type and wherein the domain sub-model is generated using the labeled documents and the at least one indicative word; wherein the producing a domain sub-model for each document type comprises extracting concepts from each of the documents and determine relationships between the concepts, wherein the extracting concepts comprises producing concept pairs by identifying, within the collection of documents, co-occurring candidate concepts and wherein the determining relationships between the concepts comprises identifying relationship links between source and destination candidate concepts, wherein the identifying relationship links comprises extracting, from each of the documents of the collection of documents, a hierarchical structure, searching for adjacent container pairs within the hierarchical structures, and inferring directed relationships between elements within the adjacent container pairs; computer readable program code configured to thereupon generate a global domain model for the documents of the collection of the documents by merging the produced domain sub-models, based on the relationships between the concepts, via aggregating identified relationship links and corresponding concepts of each of the domain sub-models across the produced domain sub-models, wherein the relationship links and corresponding concepts selected for aggregation are based upon a strategy identified based upon a level of manual review; computer readable program code configured to thereupon output the global model as a graphical representation comprising the aggregated concepts and relationship links between concepts; computer readable program code configured to ascertain one or more changes to the collection of documents; and computer readable program code configured to generate a new global model based on the one or more changes to the collection of documents by reclassifying the collection of documents and generating a new global model using the new domain sub-models generated during reclassification of the collection of documents.
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6. A computer program product for producing a global model describing a collection of documents comprising: a non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable program code configured to access a collection of documents, the collection of documents comprising labeled documents and unlabeled documents; computer readable program code configured to receive input of at least one indicative word, wherein the at least one indicative word comprises a descriptive word for classification and wherein the at least one indicative word indicates a probability of belonging to a classification based upon the indicative word occurring in a document during classification; computer readable program code configured to classify both labeled documents and unlabeled documents of the collection of documents to produce classified documents of one or more types, via producing a domain sub-model for each document type, wherein the domain sub-model represents a graphical representation of a set of concepts contained within each document type and wherein the domain sub-model is generated using the labeled documents and the at least one indicative word; wherein the producing a domain sub-model for each document type comprises extracting concepts from each of the documents and determine relationships between the concepts, wherein the extracting concepts comprises producing concept pairs by identifying, within the collection of documents, co-occurring candidate concepts and wherein the determining relationships between the concepts comprises identifying relationship links between source and destination candidate concepts, wherein the identifying relationship links comprises extracting, from each of the documents of the collection of documents, a hierarchical structure, searching for adjacent container pairs within the hierarchical structures, and inferring directed relationships between elements within the adjacent container pairs; computer readable program code configured to thereupon generate a global domain model for the documents of the collection of the documents by merging the produced domain sub-models, based on the relationships between the concepts, via aggregating identified relationship links and corresponding concepts of each of the domain sub-models across the produced domain sub-models, wherein the relationship links and corresponding concepts selected for aggregation are based upon a strategy identified based upon a level of manual review; computer readable program code configured to thereupon output the global model as a graphical representation comprising the aggregated concepts and relationship links between concepts; computer readable program code configured to ascertain one or more changes to the collection of documents; and computer readable program code configured to generate a new global model based on the one or more changes to the collection of documents by reclassifying the collection of documents and generating a new global model using the new domain sub-models generated during reclassification of the collection of documents. 8. The computer program product according to claim 6 , further comprising computer readable program code configured to ascertain user input indicating one or more of threshold input and validation input.
| 0.632246 |
9,201,592 | 2 | 3 |
2. The method of claim 1 , further comprising: identifying, based on the first handwritten input, a text string corresponding to the at least one handwritten character; determining whether the text string includes a threshold number of characters; and obtaining the candidate words when the text includes the threshold number of characters.
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2. The method of claim 1 , further comprising: identifying, based on the first handwritten input, a text string corresponding to the at least one handwritten character; determining whether the text string includes a threshold number of characters; and obtaining the candidate words when the text includes the threshold number of characters. 3. The method of claim 2 , wherein at least one of the candidate words includes the identified text string.
| 0.5 |
8,850,350 | 1 | 2 |
1. A method comprising: outputting, by a computing device and for display at a display device, a graphical keyboard comprising a plurality of keys; receiving, by the computing device, an indication of a gesture at a presence-sensitive input device to select fewer than all of a group of the plurality of keys that corresponds to a candidate word, the indication of the gesture based at least in part on detecting an input unit at a plurality of locations of the presence-sensitive input device; responsive to the detecting and while the gesture has not yet terminated: incrementally updating a plurality of letter chains, each letter chain including a different respective combination of letters associated with respective keys of the plurality of keys, wherein each letter chain is assigned a respective combined cost value of a plurality of respective combined cost values based on cost values for the respective keys of the plurality of keys that are in proximity to the gesture; determining, by the computing device and based at least in part on the plurality of letter chains, a plurality of candidate words; outputting, based on a letter chain of the plurality of letter chains being assigned to a highest combined cost value of the plurality of respective combined cost values, the candidate word for display at a first location of the display device; and responsive to determining, based on the input unit no longer being detected at the presence-sensitive input device, that the gesture has terminated prior to selecting all of the group of the plurality of keys that corresponds to the candidate word, outputting the candidate word for display at a second location of the display device, wherein the second location corresponds to a text entry area.
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1. A method comprising: outputting, by a computing device and for display at a display device, a graphical keyboard comprising a plurality of keys; receiving, by the computing device, an indication of a gesture at a presence-sensitive input device to select fewer than all of a group of the plurality of keys that corresponds to a candidate word, the indication of the gesture based at least in part on detecting an input unit at a plurality of locations of the presence-sensitive input device; responsive to the detecting and while the gesture has not yet terminated: incrementally updating a plurality of letter chains, each letter chain including a different respective combination of letters associated with respective keys of the plurality of keys, wherein each letter chain is assigned a respective combined cost value of a plurality of respective combined cost values based on cost values for the respective keys of the plurality of keys that are in proximity to the gesture; determining, by the computing device and based at least in part on the plurality of letter chains, a plurality of candidate words; outputting, based on a letter chain of the plurality of letter chains being assigned to a highest combined cost value of the plurality of respective combined cost values, the candidate word for display at a first location of the display device; and responsive to determining, based on the input unit no longer being detected at the presence-sensitive input device, that the gesture has terminated prior to selecting all of the group of the plurality of keys that corresponds to the candidate word, outputting the candidate word for display at a second location of the display device, wherein the second location corresponds to a text entry area. 2. The method of claim 1 , wherein the first location comprises a location of the display device that is based at least in part on a detected location of the input unit that performed the gesture at the presence-sensitive input device.
| 0.867232 |
9,473,432 | 4 | 5 |
4. The method of claim 1 , further comprising: requesting the transcript of the instant messaging conversation from a computer operated by one of the participants of the instant messaging conversation; and receiving the transcript of the instant messaging conversation on the first peer computer.
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4. The method of claim 1 , further comprising: requesting the transcript of the instant messaging conversation from a computer operated by one of the participants of the instant messaging conversation; and receiving the transcript of the instant messaging conversation on the first peer computer. 5. The method of claim 4 , wherein the second peer computer is a computer operated by one of the participants of the instant messaging conversation.
| 0.513158 |
7,584,179 | 1 | 7 |
1. A method comprising: iterating the steps of: receiving at a first system via a network interface from a remote system at least one term for use in searching of information, the at least one term for use in determining documents relating to the at least one term; providing search results within a search result set from the first system to the remote system, the search results including an indication of at least some of the documents relating to the at least one term, the search result set defining a resulting search space; providing at least one further term, the at least one further term provided for reducing the search results in the search result set by approximately 40%-60%, the at least one further term provided in dependence upon the at least one term and terms relating to documents within the search result set, the at least one further term relating to the resulting search space; wherein the resulting search space is reduced over an earlier search space by approximately two to the power of a number of terms selected since the earlier search space.
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1. A method comprising: iterating the steps of: receiving at a first system via a network interface from a remote system at least one term for use in searching of information, the at least one term for use in determining documents relating to the at least one term; providing search results within a search result set from the first system to the remote system, the search results including an indication of at least some of the documents relating to the at least one term, the search result set defining a resulting search space; providing at least one further term, the at least one further term provided for reducing the search results in the search result set by approximately 40%-60%, the at least one further term provided in dependence upon the at least one term and terms relating to documents within the search result set, the at least one further term relating to the resulting search space; wherein the resulting search space is reduced over an earlier search space by approximately two to the power of a number of terms selected since the earlier search space. 7. A method according to claim 1 wherein the search results are ordered by importance based on an ordering of the search terms.
| 0.933298 |
8,605,996 | 1 | 2 |
1. A method, comprising: matching, by a processor, a trained classifier associated with a first domain to a target classifier associated with a second domain, the matching being based at least in part on identifying a common attribute between the trained classifier and the target classifier; selecting an identifier from the trained classifier, the identifier being a predictor of a sentiment of textual data; and associating the identifier with the target classifier, the target classifier being configured to categorize the textual data within the second domain using the identifier.
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1. A method, comprising: matching, by a processor, a trained classifier associated with a first domain to a target classifier associated with a second domain, the matching being based at least in part on identifying a common attribute between the trained classifier and the target classifier; selecting an identifier from the trained classifier, the identifier being a predictor of a sentiment of textual data; and associating the identifier with the target classifier, the target classifier being configured to categorize the textual data within the second domain using the identifier. 2. The method of claim 1 , wherein the textual data is opinion data that is posted on the Internet.
| 0.84434 |
9,686,625 | 2 | 3 |
2. The system of claim 1 , wherein the processor is further configured to execute the audio application to: receive a first playback request from the first user device for playing the first audio content; and receive a second playback request from the second user device for playing the second audio content.
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2. The system of claim 1 , wherein the processor is further configured to execute the audio application to: receive a first playback request from the first user device for playing the first audio content; and receive a second playback request from the second user device for playing the second audio content. 3. The system of claim 2 , wherein the first audio content includes a cancellation audio to cancel at least a portion of the second audio content.
| 0.5 |
8,954,378 | 1 | 7 |
1. A computer-implemented method for refining a name of a single entity class of a data model based on a naming convention wherein the name includes two or more terms, the computer-implemented method comprising executing instructions on a processor for: receiving as an input the name of the single entity class of the data model; removing invalid terms from the two or more terms of the name of the single entity class of the data model, wherein the invalid terms are terms that are not to be included in names conforming to the naming convention; identifying, after removing the invalid terms, a complex term in the name of the single entity class of the data model, the complex term including a combination of two or more simpler terms joined together; separating the identified complex term in the name to reflect the two or more simpler terms; determining a semantic distance between the separated two or more simpler terms in the complex term in the name of the single entity class of the data model; in response to determining the semantic distance of each of the terms in the complex term in the name of the single entity class of the data model, removing from the complex term one or more of the simpler terms based on the semantic distance being greater than a threshold semantic distance; and simplifying the name of the single entity class of the data model to the terms remaining after the removal from the complex term of the one or more of the simpler terms based on the determined semantic distance being greater than the threshold semantic distance.
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1. A computer-implemented method for refining a name of a single entity class of a data model based on a naming convention wherein the name includes two or more terms, the computer-implemented method comprising executing instructions on a processor for: receiving as an input the name of the single entity class of the data model; removing invalid terms from the two or more terms of the name of the single entity class of the data model, wherein the invalid terms are terms that are not to be included in names conforming to the naming convention; identifying, after removing the invalid terms, a complex term in the name of the single entity class of the data model, the complex term including a combination of two or more simpler terms joined together; separating the identified complex term in the name to reflect the two or more simpler terms; determining a semantic distance between the separated two or more simpler terms in the complex term in the name of the single entity class of the data model; in response to determining the semantic distance of each of the terms in the complex term in the name of the single entity class of the data model, removing from the complex term one or more of the simpler terms based on the semantic distance being greater than a threshold semantic distance; and simplifying the name of the single entity class of the data model to the terms remaining after the removal from the complex term of the one or more of the simpler terms based on the determined semantic distance being greater than the threshold semantic distance. 7. The computer-implemented method of claim 1 , wherein the determining the semantic distance includes comparing semantic distances of the two or more simpler terms from a shared term.
| 0.826087 |
8,255,410 | 1 | 4 |
1. A method in a first computer system, comprising: normalizing an expression tree that is representative of a query into a normalized expression tree; transforming the normalized expression tree into a resource bound expression tree by mapping a first sub-expression of the normalized expression tree to a first uniform resource indicator (URI) component, mapping a second sub-expression of the normalized expression tree to a second URI component, and validating the first and second URI components by determining whether each URI component mapped from a sub-expression of the normalized expression tree is a legal addition to the resource bound expression tree; and translating the resource bound expression tree into a URI formatted according to a convention shared between the first computer system and a second computer system configured to respond to the URI in response to a determination that each URI component is a legal addition to the resource bound expression tree.
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1. A method in a first computer system, comprising: normalizing an expression tree that is representative of a query into a normalized expression tree; transforming the normalized expression tree into a resource bound expression tree by mapping a first sub-expression of the normalized expression tree to a first uniform resource indicator (URI) component, mapping a second sub-expression of the normalized expression tree to a second URI component, and validating the first and second URI components by determining whether each URI component mapped from a sub-expression of the normalized expression tree is a legal addition to the resource bound expression tree; and translating the resource bound expression tree into a URI formatted according to a convention shared between the first computer system and a second computer system configured to respond to the URI in response to a determination that each URI component is a legal addition to the resource bound expression tree. 4. The method of claim 1 , wherein said validating further comprises: indicating an error if at least one URI component is determined to not be a legal addition to the resource bound expression tree.
| 0.776906 |
8,612,434 | 1 | 31 |
1. A method of identifying social profiles in a social network having relevance to a first file, comprising: identifying a plurality of social profiles within the social network, wherein the plurality of social profiles each have a relationship with the first file, wherein the social network allows uploading and sharing of social profiles of users, and wherein each social profile includes a representation of a user; generating, by a system server, a list of inquiries based on the plurality of social profiles, wherein the list of inquiries includes search terms used in a search that identified the first file and the plurality of social profiles, thereby establishing the relationship between the first file and the plurality of social profiles by text analysis or filtering; providing, by the system server, the list of inquiries to at least one author of the first file; receiving from the at least one author at least one response to the list of inquiries; selecting a subset of the plurality of social profiles based on the at least one response; and storing information related to the selected subset of the plurality of social profiles for access if the first file is selected.
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1. A method of identifying social profiles in a social network having relevance to a first file, comprising: identifying a plurality of social profiles within the social network, wherein the plurality of social profiles each have a relationship with the first file, wherein the social network allows uploading and sharing of social profiles of users, and wherein each social profile includes a representation of a user; generating, by a system server, a list of inquiries based on the plurality of social profiles, wherein the list of inquiries includes search terms used in a search that identified the first file and the plurality of social profiles, thereby establishing the relationship between the first file and the plurality of social profiles by text analysis or filtering; providing, by the system server, the list of inquiries to at least one author of the first file; receiving from the at least one author at least one response to the list of inquiries; selecting a subset of the plurality of social profiles based on the at least one response; and storing information related to the selected subset of the plurality of social profiles for access if the first file is selected. 31. The method of claim 1 , wherein a plurality of lists of inquiries are provided to a plurality of authors, and responses received from each of the plurality of authors are compiled for selecting the subset of the plurality of social profiles.
| 0.821948 |
10,073,832 | 16 | 17 |
16. The server of claim 14 , wherein the lexical unit comprises at least one special character.
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16. The server of claim 14 , wherein the lexical unit comprises at least one special character. 17. The server of claim 16 , wherein at least one special character in the phrase, located between a consonant and a vowel, before the vowel, is deemed to be one of: a vowel and a consonant; and wherein said at least one special character, if being deemed vowel, makes a part of an adjacent vowel segment; and wherein said at least one special character, if being deemed consonant, makes a part of an adjacent consonant segment.
| 0.50463 |
8,041,701 | 1 | 8 |
1. A method for visually displaying search results comprising: receiving, by a processor from a first search engine, first search result data; determining, by the processor, search query information from said first search result data; transmitting said search query information to a second search engine; receiving, from said second search engine, second search result data identifying a plurality of webpages; determining network address information for a webpage of said plurality of webpages from the second search result data; retrieving, at a first location, said webpage using said network address information determined from the second search result data; creating, at said first location, a reduced size representation of said webpage as it would currently appear if presently displayed; and displaying, at said first location, said representation of said webpage from the second search result data and said first search result data.
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1. A method for visually displaying search results comprising: receiving, by a processor from a first search engine, first search result data; determining, by the processor, search query information from said first search result data; transmitting said search query information to a second search engine; receiving, from said second search engine, second search result data identifying a plurality of webpages; determining network address information for a webpage of said plurality of webpages from the second search result data; retrieving, at a first location, said webpage using said network address information determined from the second search result data; creating, at said first location, a reduced size representation of said webpage as it would currently appear if presently displayed; and displaying, at said first location, said representation of said webpage from the second search result data and said first search result data. 8. The method of claim 1 further comprising: detecting a selection of said represention of said webpage; and navigating to said webpage.
| 0.783439 |
7,558,790 | 18 | 19 |
18. A method for searching an applied data model, comprising: translating a query to a set of statements operable to search the applied data model to an arbitrary level, wherein the applied data model comprises a plurality of defined data structures, wherein each of the data structures comprises one or more fields or properties associated with the data structure, wherein all data structures of the same type contain the same properties, wherein the applied data model comprises at least one component and a relationship corresponding to the at least one component, wherein the at least one component represents a physical or logical entity in the arbitrarily complex environment, wherein each component has a set of fields which contains information relating to an atomic entity associated with the at least one component, wherein the set of fields comprises: a set of property fields containing information about the attributes or characteristics of the component; and a field that contains a link to its component type, wherein values assigned to the properties in the component are based on the attributes of the entity which the component was instantiated to represent, wherein the relationship represents an association between the physical or logical entity and other physical or logical entities in the arbitrarily complex environment, wherein the relationship comprises: a field that is a foreign key to its relationship type; and a set of property fields containing information about one or more of the attributes of the relationship, wherein the components are stored in a schema, wherein property definitions of each component are linked to a type of component, wherein changes made to the type of component are automatically associated with all components of that type of component without changing the schema to reflect a corresponding change in the arbitrarily complex environment, wherein the schema is implemented in a database, and wherein the query is a component query or a relationship query in a first query language, wherein the set of statements is capable of execution by a database management system supporting a second query language, wherein the database management system is associated with the database, and wherein the set of statements is tailored to a table schema which implements the applied data model; searching the applied data model to the arbitrary level based on the set of statements, wherein the set of statements implements a graph search; producing a set of results to the set of statements, wherein the set of results includes at least one component or one relationship at the arbitrary level; and processing the set of results according to the query, wherein processing the set of results includes structuring the set of results based on the query.
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18. A method for searching an applied data model, comprising: translating a query to a set of statements operable to search the applied data model to an arbitrary level, wherein the applied data model comprises a plurality of defined data structures, wherein each of the data structures comprises one or more fields or properties associated with the data structure, wherein all data structures of the same type contain the same properties, wherein the applied data model comprises at least one component and a relationship corresponding to the at least one component, wherein the at least one component represents a physical or logical entity in the arbitrarily complex environment, wherein each component has a set of fields which contains information relating to an atomic entity associated with the at least one component, wherein the set of fields comprises: a set of property fields containing information about the attributes or characteristics of the component; and a field that contains a link to its component type, wherein values assigned to the properties in the component are based on the attributes of the entity which the component was instantiated to represent, wherein the relationship represents an association between the physical or logical entity and other physical or logical entities in the arbitrarily complex environment, wherein the relationship comprises: a field that is a foreign key to its relationship type; and a set of property fields containing information about one or more of the attributes of the relationship, wherein the components are stored in a schema, wherein property definitions of each component are linked to a type of component, wherein changes made to the type of component are automatically associated with all components of that type of component without changing the schema to reflect a corresponding change in the arbitrarily complex environment, wherein the schema is implemented in a database, and wherein the query is a component query or a relationship query in a first query language, wherein the set of statements is capable of execution by a database management system supporting a second query language, wherein the database management system is associated with the database, and wherein the set of statements is tailored to a table schema which implements the applied data model; searching the applied data model to the arbitrary level based on the set of statements, wherein the set of statements implements a graph search; producing a set of results to the set of statements, wherein the set of results includes at least one component or one relationship at the arbitrary level; and processing the set of results according to the query, wherein processing the set of results includes structuring the set of results based on the query. 19. The method of claim 18 , wherein the query specifies the arbitrary level.
| 0.5 |
9,237,211 | 1 | 13 |
1. An energy harvesting communication device configured with signal booster apparatus, comprising: at least a communication apparatus; at least an antenna apparatus communicatively coupled to the communication apparatus and in association with at least an input output (IO) device; at least a microprocessor configured with a software for controlling communications via the communication apparatus and for processing data associated with said IO device; said at least an antenna apparatus in communication with said at least a microprocessor; and at least a sensor apparatus embedded in silicon substrate and embedded in a microfiber material to provide at least one of a communication medium, communication clarity, a detection platform, detection selectivity, and detection sensitivity.
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1. An energy harvesting communication device configured with signal booster apparatus, comprising: at least a communication apparatus; at least an antenna apparatus communicatively coupled to the communication apparatus and in association with at least an input output (IO) device; at least a microprocessor configured with a software for controlling communications via the communication apparatus and for processing data associated with said IO device; said at least an antenna apparatus in communication with said at least a microprocessor; and at least a sensor apparatus embedded in silicon substrate and embedded in a microfiber material to provide at least one of a communication medium, communication clarity, a detection platform, detection selectivity, and detection sensitivity. 13. The energy harvesting communication device of claim 1 , wherein said at least a communication apparatus further comprises sensors embedded in silicon substrate and embedded in microfiber material to provide at least one of: energy harvester apparatus; energy conversion device, sensory display and input device, interactive communication device, intelligence detection device, radiation prevention device, non cancerous communication device, secondary energy platform, primary energy platform, accelerated data processing device, solar energy to electrical energy conversion device, objects movement detection device, electronic document translation device, touch screen display device.
| 0.763699 |
8,566,325 | 6 | 10 |
6. A computer comprising: memory storing a database including a plurality of 3D models of objects, wherein each 3D model of an object of the plurality of 3D models of objects is associated with information defining a geographic area of a base polygon of the respective object, the memory also storing map information including a plurality of points of interest, where each point of interest of the plurality of points of interest is associated with a geographic coordinate; and a processor coupled to the memory and operable to: select a 3D model of an object from the plurality of 3D models of objects; determine whether the geographic coordinate of a given point of interest of the plurality of points of interest is within the geographic area of the base polygon defined by the information associated with the selected 3D model of the object; when the geographic coordinate of a given point of interest of the plurality of points of interest is within the geographic area of the base polygon defined by the information associated with the selected 3D model of the object, create a system tag including a search term selected based on the given point of interest; associate the system tag with the selected 3D model of an object; and store the association in the memory.
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6. A computer comprising: memory storing a database including a plurality of 3D models of objects, wherein each 3D model of an object of the plurality of 3D models of objects is associated with information defining a geographic area of a base polygon of the respective object, the memory also storing map information including a plurality of points of interest, where each point of interest of the plurality of points of interest is associated with a geographic coordinate; and a processor coupled to the memory and operable to: select a 3D model of an object from the plurality of 3D models of objects; determine whether the geographic coordinate of a given point of interest of the plurality of points of interest is within the geographic area of the base polygon defined by the information associated with the selected 3D model of the object; when the geographic coordinate of a given point of interest of the plurality of points of interest is within the geographic area of the base polygon defined by the information associated with the selected 3D model of the object, create a system tag including a search term selected based on the given point of interest; associate the system tag with the selected 3D model of an object; and store the association in the memory. 10. The computer of claim 6 , wherein the processor is further operable to: receive, from a device, a request for one or more 3D models of objects, the request including the search term; identify the system tag based on the received search term; identify the selected 3D model of the object from the database based on the identified system tag; and transmit the selected 3D model of the object to the device.
| 0.5 |
8,775,405 | 14 | 22 |
14. A method of presenting news content to a user with a computing system within a graphical interface comprising: a) determining a first user geographic region associated with the user; b) identifying a first breaking news story containing content for a first event; wherein said first breaking news story is determined by the computing system to be a first instance of an electronic publication of content for said first event from a set of reference content sources; c) automatically determining a target region associated with said first event by analyzing content of said first breaking news story; d) determining if said first event in said target geographic region is related to said first user geographic region; e) automatically selecting one or more local sources with the computing system to collect local content for stories associated with said first event; wherein said one or more local sources include news sources within or proximate to said geographic region; f) automatically identifying story updates to said first event by examining content published electronically by said one or more local sources; wherein for said identifying step (f) said local content is given a news rank higher than rankings of content from other content sources at least for identifying story updates associated with said first event to be presented to the user for said first user geographic region within the graphical interface.
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14. A method of presenting news content to a user with a computing system within a graphical interface comprising: a) determining a first user geographic region associated with the user; b) identifying a first breaking news story containing content for a first event; wherein said first breaking news story is determined by the computing system to be a first instance of an electronic publication of content for said first event from a set of reference content sources; c) automatically determining a target region associated with said first event by analyzing content of said first breaking news story; d) determining if said first event in said target geographic region is related to said first user geographic region; e) automatically selecting one or more local sources with the computing system to collect local content for stories associated with said first event; wherein said one or more local sources include news sources within or proximate to said geographic region; f) automatically identifying story updates to said first event by examining content published electronically by said one or more local sources; wherein for said identifying step (f) said local content is given a news rank higher than rankings of content from other content sources at least for identifying story updates associated with said first event to be presented to the user for said first user geographic region within the graphical interface. 22. The method of claim 14 wherein said news rank is determined by computing a timeliness score for said one or more local sources.
| 0.740079 |
10,037,326 | 11 | 12 |
11. A system for rearranging an order of display for a plurality of media asset identifiers based on a relative frequency of user interactions, over a period of time, with a corresponding plurality of media assets, the system comprising: a database configured to store: a first plurality of media asset identifiers including a first media asset identifier and a second media asset identifier, the first media asset identifier corresponding to a first media asset and the second media asset identifier corresponding to a second media asset, a first descriptive term corresponding to the first media asset and a second descriptive term corresponding to the second media asset, a first association between a first time and the first descriptive term and a second association between a second time and the second descriptive term, and a ranking of media assets; and control circuitry configured to: retrieve the first plurality of media asset identifiers from the database; generate for display the first plurality of media asset identifiers; receive, at the first time, a first user command to play back the first media asset; retrieve the first descriptive term in response to receiving the first user command; receive, at the second time, a second user command to playback the second media asset; retrieve the second descriptive term in response to receiving the second user command: determine a third media asset associated with the first media asset based on the first descriptive term and a fourth media asset associated with the second media asset based on the second descriptive term; compare the first time against the second time to determine that the second time is closer to the present time than the first time; generate the ranking, wherein the fourth media asset is ranked higher than the third media asset based on the first association, the second association, and the determination that the second time is closer to the present time than the first time; receive a third user command to generate for display a second plurality of media asset identifiers comprising a third media asset identifier corresponding to the third media asset and a fourth media asset identifier corresponding to the fourth media asset; and based on receiving the third user command: retrieve the ranking from the database; and generate for display, based on the ranking, the second plurality of media asset identifiers, wherein the fourth media asset identifier is displayed more prominently than the third media asset identifier.
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11. A system for rearranging an order of display for a plurality of media asset identifiers based on a relative frequency of user interactions, over a period of time, with a corresponding plurality of media assets, the system comprising: a database configured to store: a first plurality of media asset identifiers including a first media asset identifier and a second media asset identifier, the first media asset identifier corresponding to a first media asset and the second media asset identifier corresponding to a second media asset, a first descriptive term corresponding to the first media asset and a second descriptive term corresponding to the second media asset, a first association between a first time and the first descriptive term and a second association between a second time and the second descriptive term, and a ranking of media assets; and control circuitry configured to: retrieve the first plurality of media asset identifiers from the database; generate for display the first plurality of media asset identifiers; receive, at the first time, a first user command to play back the first media asset; retrieve the first descriptive term in response to receiving the first user command; receive, at the second time, a second user command to playback the second media asset; retrieve the second descriptive term in response to receiving the second user command: determine a third media asset associated with the first media asset based on the first descriptive term and a fourth media asset associated with the second media asset based on the second descriptive term; compare the first time against the second time to determine that the second time is closer to the present time than the first time; generate the ranking, wherein the fourth media asset is ranked higher than the third media asset based on the first association, the second association, and the determination that the second time is closer to the present time than the first time; receive a third user command to generate for display a second plurality of media asset identifiers comprising a third media asset identifier corresponding to the third media asset and a fourth media asset identifier corresponding to the fourth media asset; and based on receiving the third user command: retrieve the ranking from the database; and generate for display, based on the ranking, the second plurality of media asset identifiers, wherein the fourth media asset identifier is displayed more prominently than the third media asset identifier. 12. The system of claim 11 , wherein the control circuitry is further configured to generate the ranking by: assigning a higher relevance number for the fourth media asset than for the third media asset; and ranking the third media asset and the fourth media asset by a descending order of relevance numbers.
| 0.739425 |
7,788,254 | 4 | 5 |
4. The method of claim 1 wherein generating a plurality of graphical representations comprises: generating a first graphical representation having the links between the nodes being representative of hyperlinks between the web pages.
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4. The method of claim 1 wherein generating a plurality of graphical representations comprises: generating a first graphical representation having the links between the nodes being representative of hyperlinks between the web pages. 5. The method of claim 4 wherein generating a plurality of graphical representations comprises: generating a second graphical representation having the links between the nodes being representative of a similarity of the web pages.
| 0.5 |
9,792,330 | 3 | 4 |
3. The method of claim 1 , further comprising: identifying, by the one or more processors, an expert as a personalized expert for the user based on the expert's reviews of businesses and the user's reviews of businesses.
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3. The method of claim 1 , further comprising: identifying, by the one or more processors, an expert as a personalized expert for the user based on the expert's reviews of businesses and the user's reviews of businesses. 4. The method of claim 3 , wherein identifying the expert as a personalized expert further comprises: identifying a number of businesses reviewed by both the user and the expert; and identifying the expert as the personalized expert in response to determining that an agreement score based on differences between reviews of businesses reviewed by the user and the expert is below a threshold.
| 0.5 |
9,081,858 | 10 | 13 |
10. A system for processing queries comprising: a proxy server configured for receiving a first query pertaining to a primary theme from a user; a theme server configured for: receiving a request for generating one or more secondary queries; generating, in response to the request, the one or more secondary queries by a query generation module based on one or more secondary themes from a plurality of secondary themes and one or more keywords pertaining to the one or more secondary themes, wherein the one or more secondary themes are different from the primary theme; sending the generated one or more secondary queries to the proxy server; wherein the proxy server is further configured for submitting the first query along with the one or more secondary queries to a search engine such that a statistical analysis of the first query and the one or more second queries submitted to the search engine would be unable to detect that the primary theme is associated with the first query received from the user; and a computer with a display configured for displaying search results from the first query pertaining to the primary theme to the user.
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10. A system for processing queries comprising: a proxy server configured for receiving a first query pertaining to a primary theme from a user; a theme server configured for: receiving a request for generating one or more secondary queries; generating, in response to the request, the one or more secondary queries by a query generation module based on one or more secondary themes from a plurality of secondary themes and one or more keywords pertaining to the one or more secondary themes, wherein the one or more secondary themes are different from the primary theme; sending the generated one or more secondary queries to the proxy server; wherein the proxy server is further configured for submitting the first query along with the one or more secondary queries to a search engine such that a statistical analysis of the first query and the one or more second queries submitted to the search engine would be unable to detect that the primary theme is associated with the first query received from the user; and a computer with a display configured for displaying search results from the first query pertaining to the primary theme to the user. 13. The system of claim 10 , wherein the proxy server is further configured for evaluating queries pertaining to a plurality of primary themes and the one or more secondary queries submitted to the search engine over a predefined time period.
| 0.657224 |
8,827,708 | 10 | 11 |
10. A computer system, comprising: a first computer simulator configured to run a first simulation of a system based on a model of said system, said model having a plurality of state variables; a first user interface for receiving input data representative of user interaction with said first computer simulation to change values of one or more of said state variables in a manner consistent with an interaction with the simulated system; a first data output device delivering output from said first computer simulator; a second computer simulator configured to run, contemporaneously with said first computer simulation, a second computer simulation of said system based on the same model as said first simulation, said second simulation being accelerated relative to said first simulation so as to be running at further progression than said first simulation at a current time under the assumption of no further user interaction than those represented by the input data received from the first user input interface, said second computer simulation being used to generate information representing expected future events in said first simulation; a second user input interface for outputting said information representing expected future events, and for receiving input data while said first simulation is run and said information representing expected future events is outputted, said input data received by the second user input interface being used to adjust the extent to which a condition is present in said first simulation; a second data output device delivering as output from said second computer simulator the information representing expected future events in said first simulation; and a module configured to, while said first simulation is running, translate said input from said second user input interface to values for one or more state variables in said first computer simulation consistent with a description of said condition in terms of rules embodied in the model.
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10. A computer system, comprising: a first computer simulator configured to run a first simulation of a system based on a model of said system, said model having a plurality of state variables; a first user interface for receiving input data representative of user interaction with said first computer simulation to change values of one or more of said state variables in a manner consistent with an interaction with the simulated system; a first data output device delivering output from said first computer simulator; a second computer simulator configured to run, contemporaneously with said first computer simulation, a second computer simulation of said system based on the same model as said first simulation, said second simulation being accelerated relative to said first simulation so as to be running at further progression than said first simulation at a current time under the assumption of no further user interaction than those represented by the input data received from the first user input interface, said second computer simulation being used to generate information representing expected future events in said first simulation; a second user input interface for outputting said information representing expected future events, and for receiving input data while said first simulation is run and said information representing expected future events is outputted, said input data received by the second user input interface being used to adjust the extent to which a condition is present in said first simulation; a second data output device delivering as output from said second computer simulator the information representing expected future events in said first simulation; and a module configured to, while said first simulation is running, translate said input from said second user input interface to values for one or more state variables in said first computer simulation consistent with a description of said condition in terms of rules embodied in the model. 11. The method of claim 10 , providing said information representing expected future events in said first simulation on a display associated with said second user input interface.
| 0.647638 |
5,485,373 | 1 | 11 |
1. A method for establishing a collating order between a first text string and a second text string, the first text string and the second text string consisting of characters belonging to a language which has a predefined character precedence, the method being operable in a computer system having a processor and a memory connected to the processor and containing locations for storing information including the first text string and the second text string and comprising the steps of: (a) defining at least one ordering value for each character based on the predefined character precedence the language; (b) storing ordering values for all characters in the memory; (c) retrieving from the memory pairs of characters including a first character from the first text string and a second character from the second text string; (d) retrieving an ordering value for the first character and an ordering value for the second character; (e) performing a comparison of the retrieved ordering values of the characters to determine a difference between the first and the second text string; and (f) computing a minimum trailing match length value for each position in the second text string.
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1. A method for establishing a collating order between a first text string and a second text string, the first text string and the second text string consisting of characters belonging to a language which has a predefined character precedence, the method being operable in a computer system having a processor and a memory connected to the processor and containing locations for storing information including the first text string and the second text string and comprising the steps of: (a) defining at least one ordering value for each character based on the predefined character precedence the language; (b) storing ordering values for all characters in the memory; (c) retrieving from the memory pairs of characters including a first character from the first text string and a second character from the second text string; (d) retrieving an ordering value for the first character and an ordering value for the second character; (e) performing a comparison of the retrieved ordering values of the characters to determine a difference between the first and the second text string; and (f) computing a minimum trailing match length value for each position in the second text string. 11. The method as recited in claim 1 wherein the computer system further includes a display apparatus connected to the processor and to the memory, the display apparatus being controlled by the processor displaying information stored in the memory and wherein step (a) further comprises the step of (a7) generating a tabular display for assigning ordering values to each character.
| 0.717359 |
8,402,567 | 1 | 2 |
1. An undergarment comprising: a front section comprising a bottom portion, an upper portion, and two sides, the bottom portion tapered as compared to the upper portion; a back section comprising a bottom portion, an upper portion, and two sides, the bottom portion tapered as compared to the upper portion and the bottom portion of the front section and the bottom portion of the back are connected at a bottom end of the undergarment to form a crotch section, wherein the front section and the back section are connected at their sides; a torso opening configured to accept a torso of a user, the torso opening formed at a top end of the concealing undergarment between the upper portion of the front section and the upper portion of the back section; a pair of leg openings configured to accept one or more legs of a user, the pair of leg openings formed at a bottom end of the concealing undergarment between the crotch section and the sides of the front section and back section; an extension comprising a symbol area having one or more symbols thereon, the extension extending upward from the upper portion of the front or back section; and one or more straps extending from the extension, the one or more straps configured to attach to a user's bra to hold the upper portion of the front section and back section in place relative to the user's torso; a simulated tattoo configured to conceal an area of the user's skin, the simulated tattoo located on the back section; wherein the back section and front section comprises a material that is sheer, translucent, or a nude colored material, wherein at least one of the front section, back section or extension conceal skin surface of at least a portion of a lower back of a wearer of the undergarment.
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1. An undergarment comprising: a front section comprising a bottom portion, an upper portion, and two sides, the bottom portion tapered as compared to the upper portion; a back section comprising a bottom portion, an upper portion, and two sides, the bottom portion tapered as compared to the upper portion and the bottom portion of the front section and the bottom portion of the back are connected at a bottom end of the undergarment to form a crotch section, wherein the front section and the back section are connected at their sides; a torso opening configured to accept a torso of a user, the torso opening formed at a top end of the concealing undergarment between the upper portion of the front section and the upper portion of the back section; a pair of leg openings configured to accept one or more legs of a user, the pair of leg openings formed at a bottom end of the concealing undergarment between the crotch section and the sides of the front section and back section; an extension comprising a symbol area having one or more symbols thereon, the extension extending upward from the upper portion of the front or back section; and one or more straps extending from the extension, the one or more straps configured to attach to a user's bra to hold the upper portion of the front section and back section in place relative to the user's torso; a simulated tattoo configured to conceal an area of the user's skin, the simulated tattoo located on the back section; wherein the back section and front section comprises a material that is sheer, translucent, or a nude colored material, wherein at least one of the front section, back section or extension conceal skin surface of at least a portion of a lower back of a wearer of the undergarment. 2. The undergarment of claim 1 further comprising an elastic binding on the extension, the elastic binding configured to hold the upper portion of the front section and back section in place relative to the user's torso.
| 0.5 |
9,355,131 | 1 | 6 |
1. A method, comprising: retaining, in a data storage by a version analyzer embodied on a non-transitory computer readable medium, all or substantially all versions of a document created immediately following a creation time of the document; retaining, in the data storage by the version analyzer, all or substantially all versions of the document created at a given time and immediately preceding the given time; and selectively culling, from the data storage by the version analyzer based on one or more criteria, at least one non-retained version of the document created within a period of time between the creation time of the document and the given time, the one or more criteria including at least one policy, the selective culling including determining, by the version analyzer, if and how the at least one policy is to be applied, the determining resulting in the at least one non-retained version of the document being selected and culled from the data storage.
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1. A method, comprising: retaining, in a data storage by a version analyzer embodied on a non-transitory computer readable medium, all or substantially all versions of a document created immediately following a creation time of the document; retaining, in the data storage by the version analyzer, all or substantially all versions of the document created at a given time and immediately preceding the given time; and selectively culling, from the data storage by the version analyzer based on one or more criteria, at least one non-retained version of the document created within a period of time between the creation time of the document and the given time, the one or more criteria including at least one policy, the selective culling including determining, by the version analyzer, if and how the at least one policy is to be applied, the determining resulting in the at least one non-retained version of the document being selected and culled from the data storage. 6. The method according to claim 1 , wherein the selective culling further comprises: determining a nominal time at which a retained version of the document is not to be culled from the data storage; identifying a last version of the document created in a policy period prior to the nominal time; and culling from the data storage all retained versions of the document created in the policy period except the last version of the document.
| 0.5 |
10,114,547 | 1 | 13 |
1. An apparatus comprising: a memory having stored thereon instructions; and a processor to execute the instructions, the instructions, when executed by said processor, to result in a virtual context-based keyboard to interface between a user and at least one application, said virtual context-based keyboard is based on an input context to be provided from the user to the at least one application, said input context comprises an input context defining a financial instrument, the input context comprising a predefined combination of a plurality of context components to be defined based on a plurality of predefined sets of input elements, said plurality of context components comprise at least a type component to define a type of the financial instrument and a time period component to define at least one time period corresponding to the financial instrument, said virtual context-based keyboard comprises a plurality of keyboard elements representing input elements of said plurality of sets of input elements, each keyboard element representing a different input element, the input context comprises a combination of N>1 context components, denoted X 1 . . . X N , an i-th context component, denoted X i , wherein i=1 . . . N, comprising an input element selected from a predefined set of M i >1 input elements, denoted {X i1 , X i2 , . . . , X iMi }, said plurality of keyboard elements comprise keyboard elements representing each of the input elements {X i1 , X i2 , . . . , X iMi } for all N context components, the plurality of keyboard elements comprising at least one keyboard element representing at least one respective multi-character input element which comprises a string of two or more characters, the plurality of keyboard elements comprising at least a first plurality of keyboard elements representing a respective plurality of different financial instrument types, and a second plurality of keyboard elements representing a respective plurality of different time periods, wherein the instructions result in providing the input context to said application based on an indication of a sequence of keyboard elements selected by said user from said plurality of keyboard elements, a context component of the input context comprising a particular input element selected from a corresponding set of input elements according to said sequence of keyboard elements, the input context comprising the string of two or more characters responsive to the sequence of keyboard elements comprising the multi-character keyboard element.
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1. An apparatus comprising: a memory having stored thereon instructions; and a processor to execute the instructions, the instructions, when executed by said processor, to result in a virtual context-based keyboard to interface between a user and at least one application, said virtual context-based keyboard is based on an input context to be provided from the user to the at least one application, said input context comprises an input context defining a financial instrument, the input context comprising a predefined combination of a plurality of context components to be defined based on a plurality of predefined sets of input elements, said plurality of context components comprise at least a type component to define a type of the financial instrument and a time period component to define at least one time period corresponding to the financial instrument, said virtual context-based keyboard comprises a plurality of keyboard elements representing input elements of said plurality of sets of input elements, each keyboard element representing a different input element, the input context comprises a combination of N>1 context components, denoted X 1 . . . X N , an i-th context component, denoted X i , wherein i=1 . . . N, comprising an input element selected from a predefined set of M i >1 input elements, denoted {X i1 , X i2 , . . . , X iMi }, said plurality of keyboard elements comprise keyboard elements representing each of the input elements {X i1 , X i2 , . . . , X iMi } for all N context components, the plurality of keyboard elements comprising at least one keyboard element representing at least one respective multi-character input element which comprises a string of two or more characters, the plurality of keyboard elements comprising at least a first plurality of keyboard elements representing a respective plurality of different financial instrument types, and a second plurality of keyboard elements representing a respective plurality of different time periods, wherein the instructions result in providing the input context to said application based on an indication of a sequence of keyboard elements selected by said user from said plurality of keyboard elements, a context component of the input context comprising a particular input element selected from a corresponding set of input elements according to said sequence of keyboard elements, the input context comprising the string of two or more characters responsive to the sequence of keyboard elements comprising the multi-character keyboard element. 13. The apparatus of claim 1 comprising a touch screen to display said context-based keyboard, the instructions comprising processing an indication of the sequence of keyboard elements selected by said user from said plurality of keyboard elements on said touch screen.
| 0.867488 |
4,389,706 | 36 | 42 |
36. An industrial system or the like comprising: apparatus for implementing system operations; sensor means associated with the apparatus for generating signals indicative of the state of the system; a digital computer system having a memory; signal scanning means associated with said computer system and connecting to said sensor means for scanning said sensor signals periodically and including means for transferring a digital record of the status of the signals into the memory of said digital computer system; at least one machine readable signal-related event definition defining as an event the scanning of at least one sensor signal which definition contains a designation which serves both as a name for the defined event and as the name for the signals; at least one machine readable job definition including at least one triggering reference to a designation which serves as a name for an event and for a signal and which is at least one event definition; loader means for operating said computer system to accept said event and job definitions and to store said definitions in said memory; trigger-connect means for operating said computer system to link job definitions but only those containing trigger references to designations, to locations in said memory that are in turn linked to the event definition and status data for the designated signals; and means for operating said computer system to respond to the occurrence of a signal-related event by initiating execution of any and all job definitions which are linked to the status data and definition corresponding to that event.
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36. An industrial system or the like comprising: apparatus for implementing system operations; sensor means associated with the apparatus for generating signals indicative of the state of the system; a digital computer system having a memory; signal scanning means associated with said computer system and connecting to said sensor means for scanning said sensor signals periodically and including means for transferring a digital record of the status of the signals into the memory of said digital computer system; at least one machine readable signal-related event definition defining as an event the scanning of at least one sensor signal which definition contains a designation which serves both as a name for the defined event and as the name for the signals; at least one machine readable job definition including at least one triggering reference to a designation which serves as a name for an event and for a signal and which is at least one event definition; loader means for operating said computer system to accept said event and job definitions and to store said definitions in said memory; trigger-connect means for operating said computer system to link job definitions but only those containing trigger references to designations, to locations in said memory that are in turn linked to the event definition and status data for the designated signals; and means for operating said computer system to respond to the occurrence of a signal-related event by initiating execution of any and all job definitions which are linked to the status data and definition corresponding to that event. 42. A system in accordance with claim 36 wherein at least one of the sensor signals is an analog signal the magnitude of which is represented digitally within the computer memory.
| 0.738304 |
8,280,878 | 6 | 9 |
6. A computer-implemented method comprising the steps of: accessing and retrieving, by a submission interface, one or more selected documents from one or more target repositories, wherein a repository is any of: a local database, a remote database, a distributed database, and a web server, and wherein said submission interface creates and sends a search query to each of said target repositories in a format compatible with said each target repository; retrieving, by a distillate engine, said one or more selected documents from said submission interface and performing a plurality of processes on said retrieved, selected documents, said plurality of processes comprising: instructing a removing stop word processor to perform the steps of: for each document of said retrieved selected documents, identifying stop words within the document by comparing words in the document to a list of stop words and removing the identified stop words from the document, wherein a stop word is any of: if, and, but; instructing a word list generator to perform the steps of: for said document in which stop words were removed, for each remaining word, identifying the page and the location of the remaining word within said page and saving said identified information as a page-word number pair and said remaining words in a distillate data set; instructing a word stemming processor to perform the steps of: responsive to generating the distillate set, identifying words from the distillate set that have stems based on a file containing a list of stems, and creating a reduced set of words by not considering, from said words in said distillate set, words with stems in particular further processes, wherein a stem comprises at least any of: ly, and ing; instructing a word subordination processor to perform the steps of: identifying, in the reduced set of words, subsumed words and parents words; further reducing the set of reduced words for post-processing by removing said subsumed words; adding the number of occurrences of each subsumed word to the number of occurrences of the parent word; and wherein a subsumed word is a particular word that contains a same string as a parent word and that occurs in the document a number of times that is lower than a predetermined threshold percentage of occurrences of said parent word; instructing a statistical analysis processor to perform the steps of: determining relative ranking of the words from the set of reduced words by the word subordination processor, based on any of: occurrence of words and density of words in a particular portion of said document; instructing a sentence identifying processor to identify every sentence in said selected document and assign each identified sentence a sentence id; instructing an index generator to perform the steps of: for each page-word number pair in said distillate set, associating a sentence from the identified sentences which contain said word of said page-word pair, generating a mapping of said word to said sentence based, in part, on generating a word id of the word based on the sentence id of the sentence, and saving the results in an index in said distillate set; instructing a phrase extraction processor to perform the steps of: requesting said list of words from said distillate data set in an order according to a criteria that reflects a particular relevancy of the document, said criteria comprising any of: frequency, density, or alphabetical; for each word of said requested list of words, requesting from said distillate data set a list of every sentence in which said word occurs; for each sentence, parsing said sentence based on said word to generate a data tree, wherein each node in said tree is a particular word in said sentence and each child node is a word that follows said particular word in said sentence; traversing said data tree to identify thickest branches and based on the identified thickest branches, identifying significant phrases and their number of occurrences in said sentence; saving said significant phrases and their number of occurrences in said distillate data set and saving a mapping of said significant phrases to their associated sentences in said index; in response to a user action requesting to view one or more documents of said one or more selected documents, instructing a distillate browser to present one or more views of data associated with said one or more documents from said distillate data set in an interactive display of words, phrases, statistical information of said words and phrases, sentences that are mapped to said words, and sentences that are mapped to said phrases; wherein said distillate browser further comprises a query input for entering key words, which query is sent via one or more API calls to said distillate data set, said API based on at least said index.
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6. A computer-implemented method comprising the steps of: accessing and retrieving, by a submission interface, one or more selected documents from one or more target repositories, wherein a repository is any of: a local database, a remote database, a distributed database, and a web server, and wherein said submission interface creates and sends a search query to each of said target repositories in a format compatible with said each target repository; retrieving, by a distillate engine, said one or more selected documents from said submission interface and performing a plurality of processes on said retrieved, selected documents, said plurality of processes comprising: instructing a removing stop word processor to perform the steps of: for each document of said retrieved selected documents, identifying stop words within the document by comparing words in the document to a list of stop words and removing the identified stop words from the document, wherein a stop word is any of: if, and, but; instructing a word list generator to perform the steps of: for said document in which stop words were removed, for each remaining word, identifying the page and the location of the remaining word within said page and saving said identified information as a page-word number pair and said remaining words in a distillate data set; instructing a word stemming processor to perform the steps of: responsive to generating the distillate set, identifying words from the distillate set that have stems based on a file containing a list of stems, and creating a reduced set of words by not considering, from said words in said distillate set, words with stems in particular further processes, wherein a stem comprises at least any of: ly, and ing; instructing a word subordination processor to perform the steps of: identifying, in the reduced set of words, subsumed words and parents words; further reducing the set of reduced words for post-processing by removing said subsumed words; adding the number of occurrences of each subsumed word to the number of occurrences of the parent word; and wherein a subsumed word is a particular word that contains a same string as a parent word and that occurs in the document a number of times that is lower than a predetermined threshold percentage of occurrences of said parent word; instructing a statistical analysis processor to perform the steps of: determining relative ranking of the words from the set of reduced words by the word subordination processor, based on any of: occurrence of words and density of words in a particular portion of said document; instructing a sentence identifying processor to identify every sentence in said selected document and assign each identified sentence a sentence id; instructing an index generator to perform the steps of: for each page-word number pair in said distillate set, associating a sentence from the identified sentences which contain said word of said page-word pair, generating a mapping of said word to said sentence based, in part, on generating a word id of the word based on the sentence id of the sentence, and saving the results in an index in said distillate set; instructing a phrase extraction processor to perform the steps of: requesting said list of words from said distillate data set in an order according to a criteria that reflects a particular relevancy of the document, said criteria comprising any of: frequency, density, or alphabetical; for each word of said requested list of words, requesting from said distillate data set a list of every sentence in which said word occurs; for each sentence, parsing said sentence based on said word to generate a data tree, wherein each node in said tree is a particular word in said sentence and each child node is a word that follows said particular word in said sentence; traversing said data tree to identify thickest branches and based on the identified thickest branches, identifying significant phrases and their number of occurrences in said sentence; saving said significant phrases and their number of occurrences in said distillate data set and saving a mapping of said significant phrases to their associated sentences in said index; in response to a user action requesting to view one or more documents of said one or more selected documents, instructing a distillate browser to present one or more views of data associated with said one or more documents from said distillate data set in an interactive display of words, phrases, statistical information of said words and phrases, sentences that are mapped to said words, and sentences that are mapped to said phrases; wherein said distillate browser further comprises a query input for entering key words, which query is sent via one or more API calls to said distillate data set, said API based on at least said index. 9. The computer-implemented method of claim 6 , wherein said distillate browser is further configured to save a particular view of said one or more views as a set for subsequent access.
| 0.850565 |
9,418,218 | 1 | 6 |
1. A method for obtaining audit information regarding user interaction with a web page via a browser, the method comprising: accessing a web page from a web server; parsing the web page into a document object model (DOM); causing rendering of the DOM on a display as a rendered web page; using a browser extension to listen for one or more user action DOM events derived from interaction between the user and the rendered web page without causing a corresponding call made to the web server; in response to the browser extension detecting a user action DOM event derived from interaction between the user and the rendered web page without causing a corresponding call made to the web server, adding information about the user action DOM event to a configurable element within the DOM; receiving a request for an audit trail from a server; and returning the information about the user action DOM event in the configurable element within the DOM to the server in response to the receiving of the request for an audit trail.
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1. A method for obtaining audit information regarding user interaction with a web page via a browser, the method comprising: accessing a web page from a web server; parsing the web page into a document object model (DOM); causing rendering of the DOM on a display as a rendered web page; using a browser extension to listen for one or more user action DOM events derived from interaction between the user and the rendered web page without causing a corresponding call made to the web server; in response to the browser extension detecting a user action DOM event derived from interaction between the user and the rendered web page without causing a corresponding call made to the web server, adding information about the user action DOM event to a configurable element within the DOM; receiving a request for an audit trail from a server; and returning the information about the user action DOM event in the configurable element within the DOM to the server in response to the receiving of the request for an audit trail. 6. The method of claim 1 , wherein the browser extension utilizes a list of one or more user action DOM events to listen for, the list corresponding to a security group in which the user is a member.
| 0.509852 |
8,561,205 | 1 | 19 |
1. A system for distributing an electronic document comprising: a memory configured to store the electronic document; and a central distribution system in operable communication with the memory, the distribution system configured to: retrieve a copy of the electronic document from the memory; associate with the copy of the electronic document one or more rights, wherein each of said rights defines an action capable of being performed on at least a portion of the copy of the electronic document; and provide the copy of the electronic document in a form that allows a first client to exercise the one or more rights associated with the copy of the electronic document, wherein one of the rights associated with the copy of the electronic document includes the ability of the first client to share with a second client rights to at least a portion of a body of content of the electronic document to enable the second client to access the shared content based on rights derived from the first client through an act of said sharing even if the second client is not otherwise entitled to access the shared content, and wherein the central distribution system is configured such that said second client receives said at least a portion of said shared body of content from said central server only after the second client's rights to receive the shared content, as derived from the first client, are exercised by the second client such that the exercise of such rights by said second client directly causes the shared content to be delivered to the second client.
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1. A system for distributing an electronic document comprising: a memory configured to store the electronic document; and a central distribution system in operable communication with the memory, the distribution system configured to: retrieve a copy of the electronic document from the memory; associate with the copy of the electronic document one or more rights, wherein each of said rights defines an action capable of being performed on at least a portion of the copy of the electronic document; and provide the copy of the electronic document in a form that allows a first client to exercise the one or more rights associated with the copy of the electronic document, wherein one of the rights associated with the copy of the electronic document includes the ability of the first client to share with a second client rights to at least a portion of a body of content of the electronic document to enable the second client to access the shared content based on rights derived from the first client through an act of said sharing even if the second client is not otherwise entitled to access the shared content, and wherein the central distribution system is configured such that said second client receives said at least a portion of said shared body of content from said central server only after the second client's rights to receive the shared content, as derived from the first client, are exercised by the second client such that the exercise of such rights by said second client directly causes the shared content to be delivered to the second client. 19. The system of claim 1 wherein said second client receives said at least a portion of said body of content from said central server and not from said first client.
| 0.787179 |
8,650,481 | 10 | 12 |
10. A method comprising: storing an extension file configured to perform an action with respect to a browser application during rendering therewith of a page using a page script associated with a page model, the extension file associated with a content script configured to interact with the page model during rendering of the page sript to provide the page; loading the page script, including the page model, into a page script execution environment within a rendering environment of the browser application, the page script execution environment having a page script namespace; implementing a content script execution environment within the rendering environment of the browser application, using a copy of the page model within a content script namespac; wherein communication between the content script execution environment and the page script execution environment is restricted to a one-way direction from the content script execution environment to the page script execution environment; initiating the action using the content script within the content script execution environment; sending a message to the extension file to implement the action; and performing the action using the extension file and in conjunction with the rendering of the page.
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10. A method comprising: storing an extension file configured to perform an action with respect to a browser application during rendering therewith of a page using a page script associated with a page model, the extension file associated with a content script configured to interact with the page model during rendering of the page sript to provide the page; loading the page script, including the page model, into a page script execution environment within a rendering environment of the browser application, the page script execution environment having a page script namespace; implementing a content script execution environment within the rendering environment of the browser application, using a copy of the page model within a content script namespac; wherein communication between the content script execution environment and the page script execution environment is restricted to a one-way direction from the content script execution environment to the page script execution environment; initiating the action using the content script within the content script execution environment; sending a message to the extension file to implement the action; and performing the action using the extension file and in conjunction with the rendering of the page. 12. The method of claim 10 , wherein the content script execution environment is not accessible by the page script.
| 0.849081 |
8,849,996 | 7 | 9 |
7. A computer system comprising the following: one or more processors; system memory; one or more computer-readable storage media having stored thereon computer-executable instructions that, when executed by the one or more processors, causes the computing system to perform a method for efficiently modifying object model type references, the method comprising the following: an act of instantiating a type reference table configured to receive type definition requests and provide appropriate type definitions in response using one or more type reference tokens stored in a metadata file readable by a metadata reader, the metadata file including native and non-native encodings of the same metadata within the metadata file; an act of the instantiated type reference table receiving a type definition request for a specified type from a type requester; an act of implementing type reference tokens in the metadata of the type reference table to dynamically substitute one or more types for the metadata reader based on which type was requested and which type is appropriate for the current consumer of the metadata reader; and an act of providing the requested type definition to the type requester based on the dynamically substituted types provided by the type reference tokens in the metadata.
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7. A computer system comprising the following: one or more processors; system memory; one or more computer-readable storage media having stored thereon computer-executable instructions that, when executed by the one or more processors, causes the computing system to perform a method for efficiently modifying object model type references, the method comprising the following: an act of instantiating a type reference table configured to receive type definition requests and provide appropriate type definitions in response using one or more type reference tokens stored in a metadata file readable by a metadata reader, the metadata file including native and non-native encodings of the same metadata within the metadata file; an act of the instantiated type reference table receiving a type definition request for a specified type from a type requester; an act of implementing type reference tokens in the metadata of the type reference table to dynamically substitute one or more types for the metadata reader based on which type was requested and which type is appropriate for the current consumer of the metadata reader; and an act of providing the requested type definition to the type requester based on the dynamically substituted types provided by the type reference tokens in the metadata. 9. The system of claim 7 , wherein the dynamic substitution provides a standardized view of non-native types to the metadata reader.
| 0.671642 |
8,874,556 | 1 | 18 |
1. A method comprising: receiving, by one or more computing devices, a search query from a first user of a social-networking system, the social-networking system comprising a graph that comprises a plurality of nodes and edges connecting the nodes, at least one node in the graph corresponding to the first user; identifying, by one or more computing devices, one or more web pages responsive to the search query, each web page being hosted by a third party application server that is external to the social-networking system; retrieving, by one or more computing devices, information associated with the first user to identify one or more second users of the social-networking system, for each of the second users at least one node in the graph corresponding to the second user, at least one of the nodes corresponding to the first user and at least one of the nodes corresponding to a second user being connected to each other by one or more edges; ranking, by one or more computing devices, the identified web pages that are hosted by third party application servers that are external to the social-networking system based at least in part on interaction of the second users of the social-networking system with the web pages, the interaction of the second users being determined, for each of the web pages, from one or more databases indicating a number of times the web page has been accessed by the second users divided by a number of times the web page has been presented to the second users; and providing, by one or more computing devices, a link for each of the web pages for presentation to the first user as ranked.
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1. A method comprising: receiving, by one or more computing devices, a search query from a first user of a social-networking system, the social-networking system comprising a graph that comprises a plurality of nodes and edges connecting the nodes, at least one node in the graph corresponding to the first user; identifying, by one or more computing devices, one or more web pages responsive to the search query, each web page being hosted by a third party application server that is external to the social-networking system; retrieving, by one or more computing devices, information associated with the first user to identify one or more second users of the social-networking system, for each of the second users at least one node in the graph corresponding to the second user, at least one of the nodes corresponding to the first user and at least one of the nodes corresponding to a second user being connected to each other by one or more edges; ranking, by one or more computing devices, the identified web pages that are hosted by third party application servers that are external to the social-networking system based at least in part on interaction of the second users of the social-networking system with the web pages, the interaction of the second users being determined, for each of the web pages, from one or more databases indicating a number of times the web page has been accessed by the second users divided by a number of times the web page has been presented to the second users; and providing, by one or more computing devices, a link for each of the web pages for presentation to the first user as ranked. 18. The method of claim 1 , wherein the web pages are ranked based at least in part on click history of the web pages.
| 0.91194 |
9,607,047 | 1 | 3 |
1. A method comprising: identifying a set of topics appearing in text strings included in a plurality of data sources; assigning a topic identifier to each identified topic; associating each topic identifier with a context vector, each context vector representing a frequency of a given identified topic associated with a topic identifier co-occurring in one or more text strings with a plurality of topics from the set of topics and comprising: a plurality of context confidence values, each context confidence value representing a relationship between the given identified topic and an additional identified topic that co-occurs within a text string from the plurality of data sources with the given identified topic; and where each context confidence value of the plurality of context confidence values is based upon a combination of a topic confidence value of the given identified topic and a topic confidence value of the additional identified topic that co-occurs within the text string from the plurality of data sources with the given identified topic; receiving a search query comprising a keyword; identifying one or more topic identifiers associated with the keyword included in the search query; identifying one or more text strings from the plurality of data sources that include topics associated with the identified one or more topic identifiers; and generating a search result for the search query that includes the identified text strings.
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1. A method comprising: identifying a set of topics appearing in text strings included in a plurality of data sources; assigning a topic identifier to each identified topic; associating each topic identifier with a context vector, each context vector representing a frequency of a given identified topic associated with a topic identifier co-occurring in one or more text strings with a plurality of topics from the set of topics and comprising: a plurality of context confidence values, each context confidence value representing a relationship between the given identified topic and an additional identified topic that co-occurs within a text string from the plurality of data sources with the given identified topic; and where each context confidence value of the plurality of context confidence values is based upon a combination of a topic confidence value of the given identified topic and a topic confidence value of the additional identified topic that co-occurs within the text string from the plurality of data sources with the given identified topic; receiving a search query comprising a keyword; identifying one or more topic identifiers associated with the keyword included in the search query; identifying one or more text strings from the plurality of data sources that include topics associated with the identified one or more topic identifiers; and generating a search result for the search query that includes the identified text strings. 3. The method of claim 1 , wherein generating a search result comprises: identifying topics that are commonly associated with the keyword; and including the identified topics in the search result.
| 0.542056 |
8,615,514 | 17 | 18 |
17. The computer-readable storage medium of claim 12 , further comprising: assigning each of the plurality of document-query pairs to one of a plurality of second partitions according to length of the respective query of the document-query pair, each second partition being defined by a distinct respective length range.
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17. The computer-readable storage medium of claim 12 , further comprising: assigning each of the plurality of document-query pairs to one of a plurality of second partitions according to length of the respective query of the document-query pair, each second partition being defined by a distinct respective length range. 18. The computer-readable storage medium of claim 17 , wherein determining the indication of quality of the website further comprises: aggregating the respective user feedback data associated with the document-query pairs in two or more of the second partitions; determining a distribution of aggregated user feedback data among the two or more second partitions; and determining the indication of quality of the website based on a combination of the first distribution and the second distribution.
| 0.5 |
9,830,146 | 11 | 14 |
11. The build tool of claim 10 , wherein said metadata comprises a deprecatable version attribute, said deprecatable version attribute further comprising a version deprecation value, said version deprecation value associating said construct being removed in a version of an operating system.
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11. The build tool of claim 10 , wherein said metadata comprises a deprecatable version attribute, said deprecatable version attribute further comprising a version deprecation value, said version deprecation value associating said construct being removed in a version of an operating system. 14. The build tool of claim 11 , wherein one versioning rule comprises a rule not to change a given construct, if said change breaks any existing compiled code of said operating system.
| 0.5 |
9,990,417 | 19 | 28 |
19. A tangible, non-transitory, machine-readable medium storing instructions that when executed by one or more processors effectuate operations comprising: causing, with one or more processors, a computing device to display a user interface with a result of a first Boolean query applied to a data set, wherein: the display represents subsets of the result as concurrently displayed graphical regions; each of the graphical regions representing a respective subset of query results has a visual attribute determined based on a respective statistic of the respective sub set; the user interface includes a user-selectable input by which the first Boolean query is changed without the user typing additional query terms; the user interface provides a plurality of candidate query terms that are user selectable without typing the candidate query terms; and the user interface graphically distinguishes between presented candidate query terms that are broadening terms and candidate query terms that are narrowing terms; receiving, with one or more processors, a user selection entered via the user-selectable input, the user selection indicating a term to be added to the first Boolean query; based on the user selection, with one or more processors, forming a second Boolean query; applying, with one or more processors, the second Boolean query to the data set to produce a result of the second Boolean query; and causing, with one or more processors, the computing device to display the result of the second Boolean query.
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19. A tangible, non-transitory, machine-readable medium storing instructions that when executed by one or more processors effectuate operations comprising: causing, with one or more processors, a computing device to display a user interface with a result of a first Boolean query applied to a data set, wherein: the display represents subsets of the result as concurrently displayed graphical regions; each of the graphical regions representing a respective subset of query results has a visual attribute determined based on a respective statistic of the respective sub set; the user interface includes a user-selectable input by which the first Boolean query is changed without the user typing additional query terms; the user interface provides a plurality of candidate query terms that are user selectable without typing the candidate query terms; and the user interface graphically distinguishes between presented candidate query terms that are broadening terms and candidate query terms that are narrowing terms; receiving, with one or more processors, a user selection entered via the user-selectable input, the user selection indicating a term to be added to the first Boolean query; based on the user selection, with one or more processors, forming a second Boolean query; applying, with one or more processors, the second Boolean query to the data set to produce a result of the second Boolean query; and causing, with one or more processors, the computing device to display the result of the second Boolean query. 28. The medium of claim 19 , wherein causing a computing device to display a user interface with a result of a first Boolean query comprises: iteratively and alternatively subdividing available space in a region of the display based on the statistics and selecting rectangle sizes based on whether an aspect ratio of a candidate rectangle satisfies a threshold.
| 0.884665 |
9,569,551 | 9 | 10 |
9. The system of claim 8 , wherein the at least one processor is further operable to determine geospatial weights associated with words in the word set based on the localness of words.
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9. The system of claim 8 , wherein the at least one processor is further operable to determine geospatial weights associated with words in the word set based on the localness of words. 10. The system of claim 9 , wherein the at least one processor is further operable to predict location information for a new text message based on words in the new text message and the geospatial weights.
| 0.5 |
8,560,561 | 1 | 7 |
1. One or more computer-storage memory media storing computer-useable instructions that, when executed by a computing device, perform a method for providing location aware query suggestions, the method comprising: receiving a first query; generating a first plurality of query suggestions based on the first query; detecting a query locality associated with the first query; constructing one or more additional query suggestions based on a geographic entity associated with the detected query locality, the associated geographic entity corresponding to a geographic designation; wherein constructing one or more additional query suggestions comprises: determining neighbor geographic entities for the geographic entity associated with the detected query locality; constructing a query suggestion corresponding to each neighbor geographic entity based on the first query and the neighbor geographic entity; identifying at least one query suggestion, from the first plurality of query suggestions, associated with a second geographic entity different from the geographic entity associated with the detected query locality; and displaying the constructed additional query suggestions without displaying the identified query suggestions.
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1. One or more computer-storage memory media storing computer-useable instructions that, when executed by a computing device, perform a method for providing location aware query suggestions, the method comprising: receiving a first query; generating a first plurality of query suggestions based on the first query; detecting a query locality associated with the first query; constructing one or more additional query suggestions based on a geographic entity associated with the detected query locality, the associated geographic entity corresponding to a geographic designation; wherein constructing one or more additional query suggestions comprises: determining neighbor geographic entities for the geographic entity associated with the detected query locality; constructing a query suggestion corresponding to each neighbor geographic entity based on the first query and the neighbor geographic entity; identifying at least one query suggestion, from the first plurality of query suggestions, associated with a second geographic entity different from the geographic entity associated with the detected query locality; and displaying the constructed additional query suggestions without displaying the identified query suggestions. 7. The one or more computer-storage memory media of claim 1 , wherein constructing one or more additional query suggestions comprises constructing a query suggestion based on the first query and the geographic entity associated with the detected query locality.
| 0.679361 |
8,335,344 | 1 | 6 |
1. A method for annotating an electronic document comprising: embedding annotation information into an electronic annotation object having image data including an annotation; and producing an electronic annotated document using pixel information from the electronic document and the electronic annotation object, wherein said annotation embedded information is used to select corresponding pixel information from one of the electronic annotated object and electronic document to be provided in the electronic annotated document.
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1. A method for annotating an electronic document comprising: embedding annotation information into an electronic annotation object having image data including an annotation; and producing an electronic annotated document using pixel information from the electronic document and the electronic annotation object, wherein said annotation embedded information is used to select corresponding pixel information from one of the electronic annotated object and electronic document to be provided in the electronic annotated document. 6. The method according to claim 1 , wherein the annotating is one of opaque and transparent annotation.
| 0.787755 |
8,560,564 | 7 | 11 |
7. A device comprising: a memory to store instructions to implement: a browser to retrieve a document and present the document, and a browser assistant to: detect selection of one or more groups of characters in a paragraph in the document, determine one or more textual concepts in the selected one or more groups of characters in the document, generate a search query from the determined one or more textual concepts in the selected one or more groups of characters in the document, transmit the generated search query to another device, receive, based on transmitting the generated search query, a list of links to documents from the other device, and present the list of links to documents; and a processor to execute the instructions.
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7. A device comprising: a memory to store instructions to implement: a browser to retrieve a document and present the document, and a browser assistant to: detect selection of one or more groups of characters in a paragraph in the document, determine one or more textual concepts in the selected one or more groups of characters in the document, generate a search query from the determined one or more textual concepts in the selected one or more groups of characters in the document, transmit the generated search query to another device, receive, based on transmitting the generated search query, a list of links to documents from the other device, and present the list of links to documents; and a processor to execute the instructions. 11. The device of claim 7 , where when determining one or more textual concepts, the browser assistant is to: use one of a summarization technique or a vector space model to identify the one or more textual concepts.
| 0.564516 |
9,754,036 | 9 | 10 |
9. A system comprising: one or more computers; and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving, by a search engine and from a classifier, topic information indicating that, based at least on information about a user that was provided by the search engine to the classifier, the user is likely interested in a set of one or more topics; receiving, by the search engine, a search query with one or more terms that correspond to a subset of the topics in which the user is likely interested; identifying, by the search engine, the subset of the topics in which the user is likely interested that correspond to one or more terms in the search query; generating, by the search engine, a search results page that includes a link (i) to a particular resource that the search engine identifies as responsive to the search query, and (ii) that is encoded with topic information for the subset of topics that were indicated to the search engine by the classifier as topics in which the user is likely interested and identified by the search engine as topics that correspond to one or more terms in the search query; and providing the search results page for display.
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9. A system comprising: one or more computers; and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving, by a search engine and from a classifier, topic information indicating that, based at least on information about a user that was provided by the search engine to the classifier, the user is likely interested in a set of one or more topics; receiving, by the search engine, a search query with one or more terms that correspond to a subset of the topics in which the user is likely interested; identifying, by the search engine, the subset of the topics in which the user is likely interested that correspond to one or more terms in the search query; generating, by the search engine, a search results page that includes a link (i) to a particular resource that the search engine identifies as responsive to the search query, and (ii) that is encoded with topic information for the subset of topics that were indicated to the search engine by the classifier as topics in which the user is likely interested and identified by the search engine as topics that correspond to one or more terms in the search query; and providing the search results page for display. 10. The system of claim 9 , wherein the information about the user that was received by the search engine indicates a likelihood, for each topic of the set of one or more topics, that the user is interested in the topic, and wherein the information, encoded with the link, that references the subset of topics that were indicated to the search engine by the classifier as topics in which the user is likely interested indicates the likelihood, for each topic of the subset of the topics, that the user is interested in the topic.
| 0.501883 |
8,620,658 | 43 | 47 |
43. An information processing apparatus, comprising: a broadcast audio information receiving unit that receives broadcast audio information transmitted from a broadcasting station; a parameter extraction unit that extracts a parameter from voice data contained in the broadcast audio information, the parameter characterizing the voice data; a keyword extraction unit that recognizes the voice data and extracts keywords from the voice data based on the parameter and a keyword extraction database; an information search unit that searches for the extracted keywords using a search engine and acquires a search result for the keywords and articles related to the keywords, the information search unit acquiring from the search engine a search keyword list containing search keywords searched by the search engine and rank information associated with the search keyword list; and an external display device connection control unit that performs connection control with an external display device and outputs the keywords, the search result for the keywords, and the articles related to the keywords to the external display device, wherein the search engine represents a website that provides a keyword search service and a directory search service so that a user uses the search engine to search for information available through Internet.
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43. An information processing apparatus, comprising: a broadcast audio information receiving unit that receives broadcast audio information transmitted from a broadcasting station; a parameter extraction unit that extracts a parameter from voice data contained in the broadcast audio information, the parameter characterizing the voice data; a keyword extraction unit that recognizes the voice data and extracts keywords from the voice data based on the parameter and a keyword extraction database; an information search unit that searches for the extracted keywords using a search engine and acquires a search result for the keywords and articles related to the keywords, the information search unit acquiring from the search engine a search keyword list containing search keywords searched by the search engine and rank information associated with the search keyword list; and an external display device connection control unit that performs connection control with an external display device and outputs the keywords, the search result for the keywords, and the articles related to the keywords to the external display device, wherein the search engine represents a website that provides a keyword search service and a directory search service so that a user uses the search engine to search for information available through Internet. 47. The information processing apparatus according to claim 43 , further comprising a keyword synchronization unit that transmits the extracted keywords to at least one information processing apparatus and performs keyword synchronization with the at least one information processing apparatus.
| 0.668919 |
4,384,329 | 6 | 7 |
6. A method according to claim 5 including the step of appending a code to the run-length encoded displacement of said binary bits indicative of the direction of displacement of each succeeding bit from the preceding bit.
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6. A method according to claim 5 including the step of appending a code to the run-length encoded displacement of said binary bits indicative of the direction of displacement of each succeeding bit from the preceding bit. 7. A method according to claim 6 including the step of decoding said appended code and arranging the concatenated linguistic expressions in the order indicated by the direction of displacement of said binary bit.
| 0.5 |
8,438,573 | 7 | 12 |
7. A non-transitory computer-readable storage medium storing instructions which, when executed, cause one or more processors to perform the steps of: interpreting a resource profile of a first resource in a plurality of resources, wherein each resource in the plurality of resources is a logical or physical entity that enables an application to provide services, and the resource profile includes one or more attributes of the first resource, wherein at least one attribute defines a dependency between the first resource and a resource type and not any particular resource of that resource type, and wherein at least one attribute is inherited by the resource profile from a type profile that includes default attributes that augment the resource profile by supplying a value for at least one attribute that is not defined in the resource profile; determining, based on the resource profile of the first resource that the first resource is of a first resource type and has a dependency on a second resource type; and managing the plurality of resources by at least: determining that a second resource is an instance of the second resource type; provisioning the second resource to satisfy the dependency; and provisioning the first resource.
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7. A non-transitory computer-readable storage medium storing instructions which, when executed, cause one or more processors to perform the steps of: interpreting a resource profile of a first resource in a plurality of resources, wherein each resource in the plurality of resources is a logical or physical entity that enables an application to provide services, and the resource profile includes one or more attributes of the first resource, wherein at least one attribute defines a dependency between the first resource and a resource type and not any particular resource of that resource type, and wherein at least one attribute is inherited by the resource profile from a type profile that includes default attributes that augment the resource profile by supplying a value for at least one attribute that is not defined in the resource profile; determining, based on the resource profile of the first resource that the first resource is of a first resource type and has a dependency on a second resource type; and managing the plurality of resources by at least: determining that a second resource is an instance of the second resource type; provisioning the second resource to satisfy the dependency; and provisioning the first resource. 12. The non-transitory computer-readable storage medium of claim 7 , wherein said resource profile attributes include at least one attribute that does not define a dependency.
| 0.740356 |
8,333,792 | 1 | 7 |
1. A dynamic pedicle screw comprising: a bone screw having a longitudinal axis, a proximal end and a distal end; the distal end of the bone screw having surface texture and adapted to engage a vertebra; a housing at the proximal end of the bone screw; a bore in the housing aligned with the longitudinal axis of the bone screw, the bore having an open end and a closed end and the closed end of the bore terminating in a hemispherical pocket; an elongated deflectable post; a ball-shaped retainer at a first end of the deflectable post, wherein the deflectable post is received in the bore such that the ball-shaped retainer is positioned within the hemispherical pocket and a second end of the deflectable post extends through the open end of the bore; a fastener which secures the ball-shaped retainer in the hemispherical pocket such that the ball may pivot and rotate within the hemispherical pocket; and a compliant sleeve positioned within the bore between the deflectable post and the housing such that the deflectable post is flexibly aligned with the longitudinal axis of the bone screw such that deflection of the deflectable post away from alignment with the longitudinal axis of the bone screw causes compression of the compliant sleeve such that the compliant sleeve applies a force upon the deflectable post pushing the deflectable post towards a position in which the deflectable post is aligned with the longitudinal axis of the bone screw; and said housing associated with a surface positioned to contact the deflectable post after a predetermined amount of deflection of the deflectable post away from alignment with the longitudinal axis of the bone screw; and wherein further deflection of said deflectable post beyond said predetermined amount requires a larger load per unit of deflection than deflection of said deflectable post up to said predetermined amount.
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1. A dynamic pedicle screw comprising: a bone screw having a longitudinal axis, a proximal end and a distal end; the distal end of the bone screw having surface texture and adapted to engage a vertebra; a housing at the proximal end of the bone screw; a bore in the housing aligned with the longitudinal axis of the bone screw, the bore having an open end and a closed end and the closed end of the bore terminating in a hemispherical pocket; an elongated deflectable post; a ball-shaped retainer at a first end of the deflectable post, wherein the deflectable post is received in the bore such that the ball-shaped retainer is positioned within the hemispherical pocket and a second end of the deflectable post extends through the open end of the bore; a fastener which secures the ball-shaped retainer in the hemispherical pocket such that the ball may pivot and rotate within the hemispherical pocket; and a compliant sleeve positioned within the bore between the deflectable post and the housing such that the deflectable post is flexibly aligned with the longitudinal axis of the bone screw such that deflection of the deflectable post away from alignment with the longitudinal axis of the bone screw causes compression of the compliant sleeve such that the compliant sleeve applies a force upon the deflectable post pushing the deflectable post towards a position in which the deflectable post is aligned with the longitudinal axis of the bone screw; and said housing associated with a surface positioned to contact the deflectable post after a predetermined amount of deflection of the deflectable post away from alignment with the longitudinal axis of the bone screw; and wherein further deflection of said deflectable post beyond said predetermined amount requires a larger load per unit of deflection than deflection of said deflectable post up to said predetermined amount. 7. The dynamic pedicle screw of claim 1 , wherein the housing has an exterior surface and wherein said exterior surface is fluted to be adapted to engage the exterior surface by one of a connector and a driver.
| 0.5 |
4,726,065 | 1 | 4 |
1. A method for using voice input to data processing machine of the type having a visual display screen and means for selectively displaying images on the screen comprising the steps of generating a set of visible dividers on the screen which segregate the screen into sectors which can be uniquely discribed by one or more alphanumeric symbols; providing a storage location for data bits from which a display is to be produced on the screen; functionally dividing the storage location into a plurality of storage portions at least equal in number to the number of sectors so that addresses in the storage location can be functionally correlated with the positions of image features displayed on the screen; providing a voice responsive transducer for converting received utterances into electrical signals representative of speech patterns; storing a dictionary of speech patterns of a plurality of utterances including utterances recognizable as the alphanumeric symbols identifying the sectors and preselected instructions; providing the display screen with touch responsive means so that touching the screen identifies a location to the machine, whereby utterances can be employed in conjunction with touch to efect display changes; comparing the speech patterns of an utterance received by the transducer with the patterns stored in the dictionary and producing outputs of recognized utterances as an instruction or a sector identification followed by an instruction, recognition being defined as a close match of patterns; and executing the instruction.
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1. A method for using voice input to data processing machine of the type having a visual display screen and means for selectively displaying images on the screen comprising the steps of generating a set of visible dividers on the screen which segregate the screen into sectors which can be uniquely discribed by one or more alphanumeric symbols; providing a storage location for data bits from which a display is to be produced on the screen; functionally dividing the storage location into a plurality of storage portions at least equal in number to the number of sectors so that addresses in the storage location can be functionally correlated with the positions of image features displayed on the screen; providing a voice responsive transducer for converting received utterances into electrical signals representative of speech patterns; storing a dictionary of speech patterns of a plurality of utterances including utterances recognizable as the alphanumeric symbols identifying the sectors and preselected instructions; providing the display screen with touch responsive means so that touching the screen identifies a location to the machine, whereby utterances can be employed in conjunction with touch to efect display changes; comparing the speech patterns of an utterance received by the transducer with the patterns stored in the dictionary and producing outputs of recognized utterances as an instruction or a sector identification followed by an instruction, recognition being defined as a close match of patterns; and executing the instruction. 4. A method according to claim 1, wherein the stored dictionary includes a pattern recognizable as an instruction to change the location of a cursor on the screen from one sector to another.
| 0.743935 |
7,703,003 | 31 | 33 |
31. A computer-implemented method, comprising: maintaining a service store comprising a plurality of service objects each corresponding to a different service, wherein each service object has a hierarchical structure specifying a plurality of activities and one or more service elements for each activity, wherein each activity is a procedure to be carried out in providing the corresponding service, wherein each service object includes activity data identifying the service object's respective plurality of activities and specifying the one or more service elements for each activity, wherein each service element represents a component of the corresponding activity and specifies a representation for inclusion in a document to be used in performing the service; wherein a particular service element of an activity of a service object stored in the service store comprises at least one of: a description of the activity, an input for the activity, an output or deliverable from the activity, an assumption for the activity, information regarding responsibility for the activity, a subsidiary activity of the activity, or a sub-work plan of the activity; maintaining a document template store comprising one or more document templates, wherein each document template specifies an organization of a type of document to be used in performing a service; and identifying, for a given service selected by a user, and for a given document template selected by the user, one or more service elements of one or more activities of a service object corresponding to the given service, wherein representations of the one or more service elements are to be included in a document organized in accordance with the given document template; and generating a document including representations of the one or more service elements, wherein the document is organized in accordance with the given document template, wherein the representations of the one or more service elements are included in the document without the user having to identify each representation separately.
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31. A computer-implemented method, comprising: maintaining a service store comprising a plurality of service objects each corresponding to a different service, wherein each service object has a hierarchical structure specifying a plurality of activities and one or more service elements for each activity, wherein each activity is a procedure to be carried out in providing the corresponding service, wherein each service object includes activity data identifying the service object's respective plurality of activities and specifying the one or more service elements for each activity, wherein each service element represents a component of the corresponding activity and specifies a representation for inclusion in a document to be used in performing the service; wherein a particular service element of an activity of a service object stored in the service store comprises at least one of: a description of the activity, an input for the activity, an output or deliverable from the activity, an assumption for the activity, information regarding responsibility for the activity, a subsidiary activity of the activity, or a sub-work plan of the activity; maintaining a document template store comprising one or more document templates, wherein each document template specifies an organization of a type of document to be used in performing a service; and identifying, for a given service selected by a user, and for a given document template selected by the user, one or more service elements of one or more activities of a service object corresponding to the given service, wherein representations of the one or more service elements are to be included in a document organized in accordance with the given document template; and generating a document including representations of the one or more service elements, wherein the document is organized in accordance with the given document template, wherein the representations of the one or more service elements are included in the document without the user having to identify each representation separately. 33. The method as recited in claim 31 , further comprising: providing an interface to select a document template from the document template store; in response to input received from a user via the interface, selecting the given document template.
| 0.723596 |
9,171,539 | 12 | 13 |
12. A method of converting components of a web page, having a plurality of HTML components, to voice prompts for a user, comprising: using an identifier and selecting a voice attribute file from a plurality of existing voice attribute files to be associated with a particular web page, the voice attribute file containing a plurality of voice attribute components that may be selectively enabled, the enabled voice attribute components in the selected voice attribute file determining which specific HTML components of the plurality of HTML components of a web page associated with the file are to be transformed for voice prompts; selecting a voice attribute component; determining whether the selected voice attribute component is enabled; in response to a determination that the selected voice attribute component is enabled, determining whether an HTML component of the plurality of HTML components is associated with the selected voice attribute component; determining whether a pre-prompt associated with the HTML component and/or the selected voice attribute component is enabled; in response to a determination that a pre-prompt associated with the HTML component and/or the selected voice attribute component is enabled, adding the pre-prompt to a parameterized component; and forwarding the parameterized component to a mobile system, the mobile system configured to play a speech dialog using voice prompts based upon the parameterized component.
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12. A method of converting components of a web page, having a plurality of HTML components, to voice prompts for a user, comprising: using an identifier and selecting a voice attribute file from a plurality of existing voice attribute files to be associated with a particular web page, the voice attribute file containing a plurality of voice attribute components that may be selectively enabled, the enabled voice attribute components in the selected voice attribute file determining which specific HTML components of the plurality of HTML components of a web page associated with the file are to be transformed for voice prompts; selecting a voice attribute component; determining whether the selected voice attribute component is enabled; in response to a determination that the selected voice attribute component is enabled, determining whether an HTML component of the plurality of HTML components is associated with the selected voice attribute component; determining whether a pre-prompt associated with the HTML component and/or the selected voice attribute component is enabled; in response to a determination that a pre-prompt associated with the HTML component and/or the selected voice attribute component is enabled, adding the pre-prompt to a parameterized component; and forwarding the parameterized component to a mobile system, the mobile system configured to play a speech dialog using voice prompts based upon the parameterized component. 13. The method of claim 12 , wherein the pre-prompt indicates to a user a context for the HTML component with which the pre-prompt is associated.
| 0.89508 |
7,532,756 | 1 | 3 |
1. A grayscale character dictionary generation apparatus, comprising: a 1st synthetic grayscale degraded character image generation unit for generating a plurality of 1st synthetic grayscale degraded character images using binary character images inputted therein; a clustering unit for dividing each category of the 1st synthetic grayscale degraded character images generated by the 1st synthetic grayscale degraded character image generation unit into a plurality of clusters; a template calculation unit for generating template for each of the clusters; a transformation matrix generation unit for generating transformation matrix in relation to each of the templates; a 2nd synthetic grayscale degraded character dictionary generation unit for obtaining character feature of every grayscale degraded character of each of the clusters using the transformation matrix, and for constructing eigenspace of each category of the synthetic grayscale degraded character, which is the 2nd synthetic grayscale character dictionary.
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1. A grayscale character dictionary generation apparatus, comprising: a 1st synthetic grayscale degraded character image generation unit for generating a plurality of 1st synthetic grayscale degraded character images using binary character images inputted therein; a clustering unit for dividing each category of the 1st synthetic grayscale degraded character images generated by the 1st synthetic grayscale degraded character image generation unit into a plurality of clusters; a template calculation unit for generating template for each of the clusters; a transformation matrix generation unit for generating transformation matrix in relation to each of the templates; a 2nd synthetic grayscale degraded character dictionary generation unit for obtaining character feature of every grayscale degraded character of each of the clusters using the transformation matrix, and for constructing eigenspace of each category of the synthetic grayscale degraded character, which is the 2nd synthetic grayscale character dictionary. 3. The grayscale character dictionary generation apparatus according to claim 1 , wherein the clustering unit divides the plurality of clusters using a hierarchical clustering method.
| 0.865639 |
5,493,608 | 8 | 12 |
8. A method of adapting a voice response system to a conversational pace of a caller, comprising the steps of: measuring an amount of time indicative of the time required for said caller to respond to a voice message spoken by the system at a predetermined speaking rate; and adjusting, in accordance with the caller response time measurement obtained during said measuring step, a subsequent speaking rate of a subsequent voice message to be subsequently spoken by the system.
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8. A method of adapting a voice response system to a conversational pace of a caller, comprising the steps of: measuring an amount of time indicative of the time required for said caller to respond to a voice message spoken by the system at a predetermined speaking rate; and adjusting, in accordance with the caller response time measurement obtained during said measuring step, a subsequent speaking rate of a subsequent voice message to be subsequently spoken by the system. 12. The method according to claim 8, wherein said voice message of said measuring step is the first prompt spoken by said system.
| 0.872277 |
9,792,373 | 1 | 3 |
1. A computer-implemented method comprising: determining, by a computing system, at least one topic for potential presentation to a user based on an interaction of a connection of the user on a social networking system; determining, by the computing system, a degree of separation between the user and the connection within the social networking system; determining, by the computing system, a value of affinity between the user and the connection; determining, by the computing system, a weight reflecting a value of interest similarity between the user and the connection; calculating, by the computing system, a term based on the degree of separation, the value of affinity, and the weight reflecting a value of interest similarity; and combining, by the computing system, terms associated with the at least one topic to generate a composite score associated with the at least one topic to determine whether to present the at least one topic to the user.
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1. A computer-implemented method comprising: determining, by a computing system, at least one topic for potential presentation to a user based on an interaction of a connection of the user on a social networking system; determining, by the computing system, a degree of separation between the user and the connection within the social networking system; determining, by the computing system, a value of affinity between the user and the connection; determining, by the computing system, a weight reflecting a value of interest similarity between the user and the connection; calculating, by the computing system, a term based on the degree of separation, the value of affinity, and the weight reflecting a value of interest similarity; and combining, by the computing system, terms associated with the at least one topic to generate a composite score associated with the at least one topic to determine whether to present the at least one topic to the user. 3. The computer-implemented method of claim 1 , wherein the weight reflecting a value of interest similarity between the user and the connection is based on similarity of recently interacted topics and categories at different levels of granularity.
| 0.5 |
9,213,756 | 12 | 19 |
12. A system for determining at least one location of at least one target in at least one document, comprising: at least one processor, wherein the at least one processor is configured for: creating, utilizing at least one localization module in communication with the at least one processor, information compiled from at least one training document, the information comprising at least one reference and at least one reference vector tying each reference to the at least one target, wherein the creating further comprises: finding, utilizing the at least one localization module, the at least one reference; creating, utilizing the at least one localization module, the at least one reference vector for each reference; performing variance filtering, utilizing the at least one localization module, on the at least one reference and the at least one reference vector from each document to obtain any similar references and any similar reference vectors from all documents; and using any similar references and any similar reference vectors, utilizing the at least one localization module, to create at least one dynamic variance network (DVN), the at least one DVN comprising at least one reference and at least one reference vector tying each reference to the at least one target; comparing, utilizing the at least one localization module, the at least one reference to at least one new reference in at least one new document to determine if there are any similar references that are possibly the at least one target, wherein similar references are: position similar, or type similar, or both; and wherein when the at least one new reference comprises at least one typo, at least one OCR mistake, or any combination thereof, the at least one new reference is determined to be the at least one target because of the at least one new reference's location; and applying the information, utilizing the at least one localization module, on at least one new document to determine at least one location of the at least one target on the at least one new document, wherein the applying further comprises: comparing, utilizing the at least one localization module, any similar references to the at least one new reference on at least one new document to determine if there are any matching references; and using, utilizing the at least one localization module, any similar reference vectors corresponding to any matching references to determine the at least one target on the at least one new document.
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12. A system for determining at least one location of at least one target in at least one document, comprising: at least one processor, wherein the at least one processor is configured for: creating, utilizing at least one localization module in communication with the at least one processor, information compiled from at least one training document, the information comprising at least one reference and at least one reference vector tying each reference to the at least one target, wherein the creating further comprises: finding, utilizing the at least one localization module, the at least one reference; creating, utilizing the at least one localization module, the at least one reference vector for each reference; performing variance filtering, utilizing the at least one localization module, on the at least one reference and the at least one reference vector from each document to obtain any similar references and any similar reference vectors from all documents; and using any similar references and any similar reference vectors, utilizing the at least one localization module, to create at least one dynamic variance network (DVN), the at least one DVN comprising at least one reference and at least one reference vector tying each reference to the at least one target; comparing, utilizing the at least one localization module, the at least one reference to at least one new reference in at least one new document to determine if there are any similar references that are possibly the at least one target, wherein similar references are: position similar, or type similar, or both; and wherein when the at least one new reference comprises at least one typo, at least one OCR mistake, or any combination thereof, the at least one new reference is determined to be the at least one target because of the at least one new reference's location; and applying the information, utilizing the at least one localization module, on at least one new document to determine at least one location of the at least one target on the at least one new document, wherein the applying further comprises: comparing, utilizing the at least one localization module, any similar references to the at least one new reference on at least one new document to determine if there are any matching references; and using, utilizing the at least one localization module, any similar reference vectors corresponding to any matching references to determine the at least one target on the at least one new document. 19. The system of claim 12 , wherein the at least one reference and/or the at least one new reference is: merged with at least one other reference; or split into at least two references; or both.
| 0.721429 |
8,365,072 | 22 | 24 |
22. A computer readable medium storing a computer program which when executed by at least one processor analyzes a document, the computer program comprising sets of instructions for: receiving the document that comprises a plurality of primitive graphic elements, each primitive graphic element defined as a single object in the document, the document having a drawing order that indicates the order in which the primitive graphic elements are drawn when the unstructured document is displayed; calculating relative positional values for each pair of successive primitive graphic elements in the drawing order, wherein the calculated relative positional values relate to a size of the primitive graphic elements in the pair; based on the calculated relative positional values, defining a cluster of successive primitive graphic elements; identifying a set of sub-clusters of primitive graphic elements in the cluster that satisfy particular constraints; and defining each particular sub-cluster as a single structural graphic element within the document comprising the primitive graphic elements in the particular sub-cluster.
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22. A computer readable medium storing a computer program which when executed by at least one processor analyzes a document, the computer program comprising sets of instructions for: receiving the document that comprises a plurality of primitive graphic elements, each primitive graphic element defined as a single object in the document, the document having a drawing order that indicates the order in which the primitive graphic elements are drawn when the unstructured document is displayed; calculating relative positional values for each pair of successive primitive graphic elements in the drawing order, wherein the calculated relative positional values relate to a size of the primitive graphic elements in the pair; based on the calculated relative positional values, defining a cluster of successive primitive graphic elements; identifying a set of sub-clusters of primitive graphic elements in the cluster that satisfy particular constraints; and defining each particular sub-cluster as a single structural graphic element within the document comprising the primitive graphic elements in the particular sub-cluster. 24. The computer readable medium of claim 22 , wherein the document is an unstructured document.
| 0.746032 |
10,095,686 | 1 | 2 |
1. A non-transitory computer storage medium storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform operations comprising: sampling data, via a social engine, from one or more social media streams, in accordance with a user selection received via a user device; assigning part-of-speech (POS) tags to text in the data; applying natural language processing, by a trending topic tool, to extract candidate topics from the data using a first rule comprising: identifying a sequence of a plurality of the assigned POS tags, wherein each POS tag of the sequence is selected from a group consisting of at least one of a proper noun tag, a plural proper noun tag, or a cardinal number tag; defining topic boundaries based on the identified sequence; and extracting a portion of the text corresponding to the topic boundaries as one of the candidate topics; ranking the candidate topics, by the trending topic tool, with a relevance score that quantifies relative importance of each candidate topic to determine trending topics; classifying, by the trending topic tool, the trending topics into categories; grouping the candidate topics into topic clusters of semantically-similar topics, by the trending topic tool, and transmitting the classified and clustered trending topics for display on the user device.
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1. A non-transitory computer storage medium storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform operations comprising: sampling data, via a social engine, from one or more social media streams, in accordance with a user selection received via a user device; assigning part-of-speech (POS) tags to text in the data; applying natural language processing, by a trending topic tool, to extract candidate topics from the data using a first rule comprising: identifying a sequence of a plurality of the assigned POS tags, wherein each POS tag of the sequence is selected from a group consisting of at least one of a proper noun tag, a plural proper noun tag, or a cardinal number tag; defining topic boundaries based on the identified sequence; and extracting a portion of the text corresponding to the topic boundaries as one of the candidate topics; ranking the candidate topics, by the trending topic tool, with a relevance score that quantifies relative importance of each candidate topic to determine trending topics; classifying, by the trending topic tool, the trending topics into categories; grouping the candidate topics into topic clusters of semantically-similar topics, by the trending topic tool, and transmitting the classified and clustered trending topics for display on the user device. 2. The non-transitory computer storage medium of claim 1 , wherein the user selection is a time constraint.
| 0.913149 |
9,418,374 | 1 | 6 |
1. A memory device having instructions stored thereon that, in response to execution by a processing device, cause the processing device to perform operations comprising: identifying a key phrase that appears in digital content; generating a score for the key phrase based at least in part on social media popularity of the key phrase and frequency of the key phrase on a peer group of digital pages associated with a target digital page of the digital content, the peer group of digital pages of a plurality of network accessible sites; identifying said peer group of digital pages, at least in part, by identifying at least one of an outbound link from or an inbound link to the target digital page; determining, based at least in part on the score, whether to use the key phrase to select contextually relevant content to associate with the digital content; and responsive to determining to use the key phrase to select contextually relevant content to associate with the digital document, storing an indication of the determination in the memory device or another memory device.
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1. A memory device having instructions stored thereon that, in response to execution by a processing device, cause the processing device to perform operations comprising: identifying a key phrase that appears in digital content; generating a score for the key phrase based at least in part on social media popularity of the key phrase and frequency of the key phrase on a peer group of digital pages associated with a target digital page of the digital content, the peer group of digital pages of a plurality of network accessible sites; identifying said peer group of digital pages, at least in part, by identifying at least one of an outbound link from or an inbound link to the target digital page; determining, based at least in part on the score, whether to use the key phrase to select contextually relevant content to associate with the digital content; and responsive to determining to use the key phrase to select contextually relevant content to associate with the digital document, storing an indication of the determination in the memory device or another memory device. 6. The memory device of claim 1 , wherein the operations further comprise displaying a user interface that provides functionality for an operator to select or exclude the key phrase for use in an advertising campaign.
| 0.762061 |
7,840,408 | 10 | 12 |
10. The method for training a duration prediction model according to claim 1 , further comprising: obtaining corresponding values of said plurality of attributes related to duration prediction; and calculating a duration based on said duration prediction model and said corresponding values of said plurality of attributes related to duration prediction.
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10. The method for training a duration prediction model according to claim 1 , further comprising: obtaining corresponding values of said plurality of attributes related to duration prediction; and calculating a duration based on said duration prediction model and said corresponding values of said plurality of attributes related to duration prediction. 12. The method for training a duration prediction model according to any one of claims 10 - 11 , further comprising: performing speech synthesis based on the durations predicted.
| 0.5 |
6,120,297 | 1 | 4 |
1. A method of guiding a student's acquisition of additional terminology for use in the student's vocabulary through the use of structured inductive reasoning, said method comprising the steps of: displaying information indicating the derivation of a current target word to be added to the student's vocabulary; displaying a clue that relates to the information indicating the derivation of the current target word and does not use the current target word, said clue offering answers for selection by the student; displaying a clue that relates to and does use the current target word, said clue offering answers for selection by the student; displaying the student's selected answer and asking the student to try again, if the answer selected by the student for a given clue was incorrect; displaying the correct answer to the clue and an explanation of that answer, if the answer selected by the student for a given clue was correct; and displaying the correct answer to the clue and an explanation of that answer after a given number of incorrect answers have been selected by the student for a given clue.
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1. A method of guiding a student's acquisition of additional terminology for use in the student's vocabulary through the use of structured inductive reasoning, said method comprising the steps of: displaying information indicating the derivation of a current target word to be added to the student's vocabulary; displaying a clue that relates to the information indicating the derivation of the current target word and does not use the current target word, said clue offering answers for selection by the student; displaying a clue that relates to and does use the current target word, said clue offering answers for selection by the student; displaying the student's selected answer and asking the student to try again, if the answer selected by the student for a given clue was incorrect; displaying the correct answer to the clue and an explanation of that answer, if the answer selected by the student for a given clue was correct; and displaying the correct answer to the clue and an explanation of that answer after a given number of incorrect answers have been selected by the student for a given clue. 4. The method of claim 1, said method further comprising the steps of: displaying the current target word, its pronunciation and part of speech, as a part of each clue displayed, and providing the student access to a display of the derivation information as a part of each clue displayed.
| 0.754266 |
8,478,749 | 17 | 18 |
17. The apparatus of claim 15 , wherein the first matrix is sorted according to the term column, and then sorted according to the document column, such that documents sharing a common term are in immediate succession of one another in the sorted first matrix.
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17. The apparatus of claim 15 , wherein the first matrix is sorted according to the term column, and then sorted according to the document column, such that documents sharing a common term are in immediate succession of one another in the sorted first matrix. 18. The apparatus of claim 17 , further comprising determining a position in the second matrix, based on the documents sharing a common term in the sorted first matrix, and incrementing a value of the second matrix at the determined position.
| 0.5 |
8,749,800 | 8 | 10 |
8. A system comprising: a computer; an electronic memory accessible by the computer for storing a digital image; a printer coupled to the computer, the printer including a plurality of receiver sheets for printing the digital image thereon; a printer interface for selecting an area of one of the receiver sheets for printing the selected digital image therein; a document editor for generating a document comprising text and the digital image, the text comprising known text characters, for printing on one of the receiver sheets; handwritten alphanumeric characters stored in the electronic memory, wherein each handwritten alphanumeric character is represented by a plurality of points, each point having x and y coordinates; wherein the stored handwritten alphanumeric characters each comprise two mathematical functions defining a shape of the corresponding stored handwritten alphanumeric character, the first mathematical function corresponding to the x coordinates of a plurality of points representing the stored handwritten alphanumeric character and the second mathematical function corresponding to the y coordinates of the plurality of points representing the stored handwritten alphanumeric character, and wherein the mathematical function is a Taylor Series, a Maclaurin Series, a piecewise continuous Taylor Series, or a piecewise continuous Maclaurin Series; and a processor for associating and transcribing the handwritten alphanumeric characters into corresponding ones of the known text characters.
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8. A system comprising: a computer; an electronic memory accessible by the computer for storing a digital image; a printer coupled to the computer, the printer including a plurality of receiver sheets for printing the digital image thereon; a printer interface for selecting an area of one of the receiver sheets for printing the selected digital image therein; a document editor for generating a document comprising text and the digital image, the text comprising known text characters, for printing on one of the receiver sheets; handwritten alphanumeric characters stored in the electronic memory, wherein each handwritten alphanumeric character is represented by a plurality of points, each point having x and y coordinates; wherein the stored handwritten alphanumeric characters each comprise two mathematical functions defining a shape of the corresponding stored handwritten alphanumeric character, the first mathematical function corresponding to the x coordinates of a plurality of points representing the stored handwritten alphanumeric character and the second mathematical function corresponding to the y coordinates of the plurality of points representing the stored handwritten alphanumeric character, and wherein the mathematical function is a Taylor Series, a Maclaurin Series, a piecewise continuous Taylor Series, or a piecewise continuous Maclaurin Series; and a processor for associating and transcribing the handwritten alphanumeric characters into corresponding ones of the known text characters. 10. The system according to claim 8 wherein the printer prints the digital image on a first side of the receiver and the transcribed alphanumeric characters on a second side of the receiver.
| 0.529703 |
9,558,267 | 1 | 10 |
1. A computer-implemented method comprising: using a processor to mine user related content information, wherein the information is mined from an information repository; filtering the mined user related content information from the information repository, wherein the filtering comprises identifying a subset of the mined user related content information comprising information related to a predetermined category; identifying, using a cosine similarity measure, a plurality of words having a similarity to a seed set of words by analyzing the subset, using a plurality of analyzers, wherein each analyzer is configured to capture a plurality of representational variations, from the information repository, related to the seed set of words; classifying, based on the analyzing, the plurality of representational variations, wherein the classifying comprises ranking the filtered user related content information; combining the classified plurality of representational variations of the user related content information from each of the plurality of analyzers, wherein the combining comprises identifying a relevancy of a representational variation to a user intent based upon the ranking of the filtered user related content information; and training a classifier for characterizing real-time intention content from information repositories using the combined plurality of representational variations.
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1. A computer-implemented method comprising: using a processor to mine user related content information, wherein the information is mined from an information repository; filtering the mined user related content information from the information repository, wherein the filtering comprises identifying a subset of the mined user related content information comprising information related to a predetermined category; identifying, using a cosine similarity measure, a plurality of words having a similarity to a seed set of words by analyzing the subset, using a plurality of analyzers, wherein each analyzer is configured to capture a plurality of representational variations, from the information repository, related to the seed set of words; classifying, based on the analyzing, the plurality of representational variations, wherein the classifying comprises ranking the filtered user related content information; combining the classified plurality of representational variations of the user related content information from each of the plurality of analyzers, wherein the combining comprises identifying a relevancy of a representational variation to a user intent based upon the ranking of the filtered user related content information; and training a classifier for characterizing real-time intention content from information repositories using the combined plurality of representational variations. 10. The method as claimed in claim 1 , wherein said assigning of a final classification comprises comparing the summed weights of the classified plurality of representational variations of the user related content information to a threshold.
| 0.574205 |
8,510,294 | 1 | 11 |
1. A method for determining a search ranking score, comprising: (a) receiving a search query; (b) determining a first population associated with the search query based on at least one sender of the search query; (c) determining a first article associated with the search query; and (d) determining a first ranking score for the first article based at least in part on data associated with the first population.
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1. A method for determining a search ranking score, comprising: (a) receiving a search query; (b) determining a first population associated with the search query based on at least one sender of the search query; (c) determining a first article associated with the search query; and (d) determining a first ranking score for the first article based at least in part on data associated with the first population. 11. The method of claim 1 , wherein the data associated with the first population comprises a selection score for the first article in a context of the first population.
| 0.55291 |
8,055,652 | 1 | 3 |
1. A computer implemented method comprising: performing, by a processor, a first Xpath evaluation on a stream of Extensible Markup Language (XML) messages, the first Xpath evaluation based on a group of Xpath queries associated with a first user transaction; receiving, by a processor, a plurality of requests to modify the Xpath query group and combining the plurality of requests into a single atomic modification; and modifying, by a processor, the Xpath query group, in a persistent manner, without affecting the ongoing first Xpath evaluation on the XML messages, wherein modifying the Xpath query group comprises: generating a second data structure as a copy of portions of a first data structure, the first data structure comprising a hash table with branches, the branches derived from the group of Xpath queries prior to modification and only copying branches of the first data structure being modified; altering at least one branch of the second data structure in accordance with the modification request, wherein the single atomic modification modifies the second data structure to perform a subsequent Xpath evaluation corresponding to a subsequent modification request of the plurality of requests without generating an additional data structure; performing a second Xpath evaluation, associated with a second user transaction, using the second data structure in substantially real time with the first Xpath evaluation such that the first and second user transactions are overlapping; and deleting the first data structure upon completion of the first user transaction and using the second data structure for additional user transactions until modified.
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1. A computer implemented method comprising: performing, by a processor, a first Xpath evaluation on a stream of Extensible Markup Language (XML) messages, the first Xpath evaluation based on a group of Xpath queries associated with a first user transaction; receiving, by a processor, a plurality of requests to modify the Xpath query group and combining the plurality of requests into a single atomic modification; and modifying, by a processor, the Xpath query group, in a persistent manner, without affecting the ongoing first Xpath evaluation on the XML messages, wherein modifying the Xpath query group comprises: generating a second data structure as a copy of portions of a first data structure, the first data structure comprising a hash table with branches, the branches derived from the group of Xpath queries prior to modification and only copying branches of the first data structure being modified; altering at least one branch of the second data structure in accordance with the modification request, wherein the single atomic modification modifies the second data structure to perform a subsequent Xpath evaluation corresponding to a subsequent modification request of the plurality of requests without generating an additional data structure; performing a second Xpath evaluation, associated with a second user transaction, using the second data structure in substantially real time with the first Xpath evaluation such that the first and second user transactions are overlapping; and deleting the first data structure upon completion of the first user transaction and using the second data structure for additional user transactions until modified. 3. The computer implemented method of claim 1 , wherein said receiving the modification request comprises receiving a request for: adding a new Xpath query to the Xpath query group.
| 0.867883 |
6,021,412 | 21 | 25 |
21. An apparatus for automatically assisting a user to select and insert a graphic image in a presentation document, said graphic image thus inserted being relevant to a concept expressed by text within the presentation document, the apparatus comprising: (a) a presentation document generation module for inserting textual and multimedia content into a presentation document in response to user input; (b) a graphics library query module for retrieving graphics images that are relevant to a concept expressed by the text from a graphics library comprising a plurality of graphic images, each graphic image being associated with a concept, the graphics library query module, in response to a request, providing one or more graphic images based on their associated concept, to a requesting module; and (c) a conceptual graphic insertion module for detecting that textual content in the presentation document includes a conceptual word, and in response thereto, submitting a request to the graphics library query module for one or more graphic images associated with the conceptual word based on the concept associated with such graphic images, and enabling a user to select a graphic image from said one or more graphic images provided by the graphics library module in the response to the submitted request, to be inserted in the presentation document.
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21. An apparatus for automatically assisting a user to select and insert a graphic image in a presentation document, said graphic image thus inserted being relevant to a concept expressed by text within the presentation document, the apparatus comprising: (a) a presentation document generation module for inserting textual and multimedia content into a presentation document in response to user input; (b) a graphics library query module for retrieving graphics images that are relevant to a concept expressed by the text from a graphics library comprising a plurality of graphic images, each graphic image being associated with a concept, the graphics library query module, in response to a request, providing one or more graphic images based on their associated concept, to a requesting module; and (c) a conceptual graphic insertion module for detecting that textual content in the presentation document includes a conceptual word, and in response thereto, submitting a request to the graphics library query module for one or more graphic images associated with the conceptual word based on the concept associated with such graphic images, and enabling a user to select a graphic image from said one or more graphic images provided by the graphics library module in the response to the submitted request, to be inserted in the presentation document. 25. The apparatus of claim 21, further including a graphics library modification module for modifying the contents of the graphics library in response to user input.
| 0.841651 |
9,177,558 | 2 | 3 |
2. The method of claim 1 further comprising excluding words not reliably recognized in generating the word hypotheses from contributing to the assessment score.
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2. The method of claim 1 further comprising excluding words not reliably recognized in generating the word hypotheses from contributing to the assessment score. 3. The method of claim 2 , wherein a confidence level is associated with each word in the word hypotheses identifying a likelihood that a word in a word hypothesis was correctly recognized in generating the word hypotheses.
| 0.5 |
8,200,654 | 9 | 10 |
9. A computer-readable storage medium containing a program which, when executed, performs an operation for processing a database query, the operation comprising: receiving a query generated using a query builder application; identifying at least a first query condition included in the query having an associated database extension; identifying at least a second query condition included in the query having an associated parallel application extension; submitting the first query condition for execution against a database to produce a first query result, wherein the first query condition is executed according to the database extension associated with the first query condition; receiving a second query result produced by invoking an analysis routine on a parallel computer system, based on the second query condition, wherein the analysis routine is identified by the parallel application extension associated with the second query condition, the invoking comprising: transmitting, over a connection to a compute node of the parallel computing system, the second query condition and the first query result, wherein the compute node is configured to translate the second condition into a format compatible with the analysis routine, and wherein the compute node is further configured to invoke, on the parallel computing system, an execution of the analysis routine using the translated second condition and the first query result to obtain the second query result; merging the first query result and the second query result to produce merged results; and returning, as a response to the received query, the merged results.
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9. A computer-readable storage medium containing a program which, when executed, performs an operation for processing a database query, the operation comprising: receiving a query generated using a query builder application; identifying at least a first query condition included in the query having an associated database extension; identifying at least a second query condition included in the query having an associated parallel application extension; submitting the first query condition for execution against a database to produce a first query result, wherein the first query condition is executed according to the database extension associated with the first query condition; receiving a second query result produced by invoking an analysis routine on a parallel computer system, based on the second query condition, wherein the analysis routine is identified by the parallel application extension associated with the second query condition, the invoking comprising: transmitting, over a connection to a compute node of the parallel computing system, the second query condition and the first query result, wherein the compute node is configured to translate the second condition into a format compatible with the analysis routine, and wherein the compute node is further configured to invoke, on the parallel computing system, an execution of the analysis routine using the translated second condition and the first query result to obtain the second query result; merging the first query result and the second query result to produce merged results; and returning, as a response to the received query, the merged results. 10. The computer-readable storage medium of claim 9 , wherein the operation further comprises, writing the translated second condition and the first query result to an input file, wherein the analysis routine parses the input file to obtain the translated second condition and the first query result.
| 0.5 |
8,769,405 | 8 | 9 |
8. An apparatus comprising: a processor; and memory operatively coupled to the processor and storing computer readable instructions that, when executed, cause the apparatus to: receive, from a first client device, a request for a font; determine whether the request for the font specifies a set of glyphs that includes less than all glyphs defined for the font; in response to determining that the specified set of glyphs includes less than all of the glyphs defined for the font, generate a reduced glyph font file that includes only the specified set of glyphs; cache, at a font server different from the first client device, the reduced glyph font file in association with an identifier of a network document corresponding to the request for the font; receive, from a second client device, a request for the network document, wherein the request for the network document includes the identifier of the network document; and in response to receiving the request for the network document and based on the identifier of the network document, provide the cached reduced glyph font file to the second client device.
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8. An apparatus comprising: a processor; and memory operatively coupled to the processor and storing computer readable instructions that, when executed, cause the apparatus to: receive, from a first client device, a request for a font; determine whether the request for the font specifies a set of glyphs that includes less than all glyphs defined for the font; in response to determining that the specified set of glyphs includes less than all of the glyphs defined for the font, generate a reduced glyph font file that includes only the specified set of glyphs; cache, at a font server different from the first client device, the reduced glyph font file in association with an identifier of a network document corresponding to the request for the font; receive, from a second client device, a request for the network document, wherein the request for the network document includes the identifier of the network document; and in response to receiving the request for the network document and based on the identifier of the network document, provide the cached reduced glyph font file to the second client device. 9. The apparatus of claim 8 , wherein the request for the font further includes a serial number and wherein the computer readable instructions, when executed, further cause the apparatus to: verify validity of the request for the font based on the serial number.
| 0.793049 |
10,162,609 | 1 | 5 |
1. A computer-implemented method for creating an object for data access, the method comprising: receiving user input object-oriented source code in a code editor of a graphical user interface of a development tool; creating a function-expression with the object-oriented source code as an object method that includes an indication that the function-expression should be displayed in a graphical user interface of a development tool; displaying the defined function-expression in a list of available fields for data access in the graphical user interface of the development tool used to create the object; receiving a selection of a field among a list of available fields for data access; creating the object for data access based on the selection; and saving the object for data access in a metadata store.
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1. A computer-implemented method for creating an object for data access, the method comprising: receiving user input object-oriented source code in a code editor of a graphical user interface of a development tool; creating a function-expression with the object-oriented source code as an object method that includes an indication that the function-expression should be displayed in a graphical user interface of a development tool; displaying the defined function-expression in a list of available fields for data access in the graphical user interface of the development tool used to create the object; receiving a selection of a field among a list of available fields for data access; creating the object for data access based on the selection; and saving the object for data access in a metadata store. 5. The computer-implemented method of claim 1 , and further comprising converting the object for data access into a string and transmitting the string to a target data source.
| 0.5 |
9,721,023 | 7 | 8 |
7. The method of claim 6 , wherein the first subquery and the second subquery, of the plurality of subqueries, are constructed to offset broadness in the first subquery with specificity in the second subquery by: (i) including, in the first subquery, a hypernym corresponding to a third sensitive term of the plurality of sensitive terms, and (ii) including the third sensitive term in the second subquery.
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7. The method of claim 6 , wherein the first subquery and the second subquery, of the plurality of subqueries, are constructed to offset broadness in the first subquery with specificity in the second subquery by: (i) including, in the first subquery, a hypernym corresponding to a third sensitive term of the plurality of sensitive terms, and (ii) including the third sensitive term in the second subquery. 8. The method of claim 7 , further comprising: obfuscating the received query by executing the first subquery at a first time and executing the second subquery at a second time, different than the first time.
| 0.5 |
7,711,573 | 408 | 409 |
408. The method of claim 406 , wherein the storing of each said at least one multiplier further comprises: storing each said at least one multiplier as an element defined by a markup language, the element comprising a start tag, content data, and an end tag, wherein the start tag and the end tag include an indication of the salary range unit associated with each said at least one multiplier, and wherein the content data includes each said at least one multiplier.
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408. The method of claim 406 , wherein the storing of each said at least one multiplier further comprises: storing each said at least one multiplier as an element defined by a markup language, the element comprising a start tag, content data, and an end tag, wherein the start tag and the end tag include an indication of the salary range unit associated with each said at least one multiplier, and wherein the content data includes each said at least one multiplier. 409. The method of claim 408 , wherein the storing of the element is to a file.
| 0.5 |
7,606,772 | 1 | 6 |
1. An adaptive recommendation method comprising: interacting with a content aspect comprising information; interacting with a computer-implemented structural aspect comprising the content aspect and associated relationships; contributing behaviors to a usage aspect, the usage aspect comprising captured usage behaviors, wherein the usage behaviors are associated with one or more users corresponding to a plurality of usage behavior categories; and applying a user tunable adaptive recommendation to navigate the computer-implemented structural aspect, the adaptive recommendation being based, at least in part, on an automatic inference of a preference of a user from a plurality of the captured usage behaviors associated with the one or more users corresponding to a plurality of usage behavior categories.
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1. An adaptive recommendation method comprising: interacting with a content aspect comprising information; interacting with a computer-implemented structural aspect comprising the content aspect and associated relationships; contributing behaviors to a usage aspect, the usage aspect comprising captured usage behaviors, wherein the usage behaviors are associated with one or more users corresponding to a plurality of usage behavior categories; and applying a user tunable adaptive recommendation to navigate the computer-implemented structural aspect, the adaptive recommendation being based, at least in part, on an automatic inference of a preference of a user from a plurality of the captured usage behaviors associated with the one or more users corresponding to a plurality of usage behavior categories. 6. The method of claim 1 , wherein applying a user tunable adaptive recommendation to navigate the computer-implemented structural aspect, the adaptive recommendation being based, at least in part, on an automatic inference of a preference of a user from a plurality of the captured usage behaviors associated with the one or more users corresponding to a plurality of usage behavior categories comprises: applying usage behavior categories, wherein the usage behavior categories are selected from a group consisting of navigation and access patterns, collaborative patterns, direct feedback patterns, subscription patterns, self-profiling patterns, reference patterns, and physical location patterns.
| 0.528898 |
9,778,929 | 14 | 15 |
14. One or more computing devices comprising: processing hardware; storage hardware storing instructions that when executed by the processing hardware cause the processing hardware to perform a process comprising: accessing resource text strings obtained from a resource file of a program project, wherein the resource text strings are referenced in a source code file of the program project, wherein the program project is configured to be compiled to produce a corresponding program, and wherein the resource text strings are in a first human language; accessing a dictionary of historical resource text strings, wherein the historical resource text strings have been obtained from resource files of respective other program projects, and wherein the historical resource text strings are in the first human language; for each resource text string, selecting one or more of the historical resource text strings based on the resource text strings by determining similarity between the resource text string and the corresponding selected one or more historical resource text strings; storing, in a file, the resource text strings in association with respective selected historical resource text strings; providing the file to an editor of a computing device operated by a human translator, the editor concurrently displaying a resource text string in the first human language and, based on association in the file with the resource text string in the first human language, one or more historical resource text strings in the first human language determined to be similar to the resource text string; and receiving translation strings, in a second human language, the translation strings received from a user interface of the editor and corresponding to human translations associated with the file, the translation strings including a translation string in the second human language that corresponds to the displayed resource string in the first human language.
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14. One or more computing devices comprising: processing hardware; storage hardware storing instructions that when executed by the processing hardware cause the processing hardware to perform a process comprising: accessing resource text strings obtained from a resource file of a program project, wherein the resource text strings are referenced in a source code file of the program project, wherein the program project is configured to be compiled to produce a corresponding program, and wherein the resource text strings are in a first human language; accessing a dictionary of historical resource text strings, wherein the historical resource text strings have been obtained from resource files of respective other program projects, and wherein the historical resource text strings are in the first human language; for each resource text string, selecting one or more of the historical resource text strings based on the resource text strings by determining similarity between the resource text string and the corresponding selected one or more historical resource text strings; storing, in a file, the resource text strings in association with respective selected historical resource text strings; providing the file to an editor of a computing device operated by a human translator, the editor concurrently displaying a resource text string in the first human language and, based on association in the file with the resource text string in the first human language, one or more historical resource text strings in the first human language determined to be similar to the resource text string; and receiving translation strings, in a second human language, the translation strings received from a user interface of the editor and corresponding to human translations associated with the file, the translation strings including a translation string in the second human language that corresponds to the displayed resource string in the first human language. 15. One or more computing devices according to claim 14 , the process further comprising adding a new resource file to the program project, the new resource file comprised of the translation strings, the translation strings and the resource text strings associated with and referenced by same respective identifiers in the source code file.
| 0.5 |
7,752,159 | 7 | 8 |
7. The method of claim 1 , further comprising a step of selecting an appropriate script from a plurality of scripts and executing the selected script to identify concepts in the text.
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7. The method of claim 1 , further comprising a step of selecting an appropriate script from a plurality of scripts and executing the selected script to identify concepts in the text. 8. The method of claim 7 , wherein the step of selecting an appropriate script from a plurality of scripts includes identifying a language in which the text is written, and selecting the script corresponding to the identified language.
| 0.5 |
8,285,537 | 53 | 54 |
53. At least one computer readable medium as recited in claim 46 , wherein said augmenting includes adding the text string to a dictionary used by the speech recognizer.
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53. At least one computer readable medium as recited in claim 46 , wherein said augmenting includes adding the text string to a dictionary used by the speech recognizer. 54. At least one computer readable medium as recited in claim 53 , wherein said augmenting uses a standard phonetic alphabet in the text string.
| 0.754266 |
7,533,069 | 1 | 3 |
1. A data mining method in a data processing system comprising a processor and a memory for storing data mined from a variety of sources into a structured target data model, the method comprising the steps of: (a) receiving a first source data for mining by the data processing system; (b) parsing said first source data by the data processing system; said parsing step further comprising: (b1) parsing a source format of said first source data with an outer parser running in the processor; (b2) based on said parsed source format, processing selected data extracted from said first source data with an inner level parser embedded in said outer parser; and (b3) executing by said inner level parser one or more statements in an order dictated by a content of said first source data as dictated by an evolution of a parsing state of said outer level parser, wherein said one or more statements are expressed using an ontology description language having one or more data types and one or more data fields which are directly manipulated and assigned by said one or more statements executed within said inner level parser through said ontology description language without explicit declarations therein; (c) creating, as a result of said parsing steps, a first collection of records conformed to the structured target data model as described by said ontology description language, wherein each of said records in said first collection of records are referenced and cross-referenced to each other; (d) storing said first collection of records conformed to the structured target data model in the memory; (e) retrieving said first collection of records for further processing by the data processing system.
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1. A data mining method in a data processing system comprising a processor and a memory for storing data mined from a variety of sources into a structured target data model, the method comprising the steps of: (a) receiving a first source data for mining by the data processing system; (b) parsing said first source data by the data processing system; said parsing step further comprising: (b1) parsing a source format of said first source data with an outer parser running in the processor; (b2) based on said parsed source format, processing selected data extracted from said first source data with an inner level parser embedded in said outer parser; and (b3) executing by said inner level parser one or more statements in an order dictated by a content of said first source data as dictated by an evolution of a parsing state of said outer level parser, wherein said one or more statements are expressed using an ontology description language having one or more data types and one or more data fields which are directly manipulated and assigned by said one or more statements executed within said inner level parser through said ontology description language without explicit declarations therein; (c) creating, as a result of said parsing steps, a first collection of records conformed to the structured target data model as described by said ontology description language, wherein each of said records in said first collection of records are referenced and cross-referenced to each other; (d) storing said first collection of records conformed to the structured target data model in the memory; (e) retrieving said first collection of records for further processing by the data processing system. 3. The method according to claim 1 , wherein said parsing step further comprises the step of: utilizing a named source specific lexical analyzer specification for parsing said first source data.
| 0.705167 |
9,563,690 | 1 | 10 |
1. A method for document searching, comprising: receiving, by a server, first search information from a device, the first search information derived from a first image, the first image captured with a camera of the device, the first image comprising a first portion of a document; performing, by the server, a first search on a set of documents based on the first search information; the server sending a first result from the first search to the device, wherein the first result is presented on the device; receiving, by the server, second search information from the device, the second search information derived from joining the first image and a second image, the second image captured with the camera of the device after a movement of the device, the second image comprising a second portion of the document; performing, by the server, a second search of the set of documents based on the second search information; the server updating the first result using the second search information to form a second result; and the server sending the second result to the device, wherein the first result on the device is replaced with the second result.
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1. A method for document searching, comprising: receiving, by a server, first search information from a device, the first search information derived from a first image, the first image captured with a camera of the device, the first image comprising a first portion of a document; performing, by the server, a first search on a set of documents based on the first search information; the server sending a first result from the first search to the device, wherein the first result is presented on the device; receiving, by the server, second search information from the device, the second search information derived from joining the first image and a second image, the second image captured with the camera of the device after a movement of the device, the second image comprising a second portion of the document; performing, by the server, a second search of the set of documents based on the second search information; the server updating the first result using the second search information to form a second result; and the server sending the second result to the device, wherein the first result on the device is replaced with the second result. 10. The method of claim 1 , wherein the first search information or the second search information includes search terms.
| 0.677419 |
8,471,821 | 1 | 7 |
1. A method for analyzing movements of a handheld electronic device, comprising: calculating a matching score for a rotational string representation of rotational movement data for the device to a gesture string representing a gesture related to a command for the device by recursively traversing a matrix containing the rotational string representation, the gesture string representation and earlier movement data of the device using a distance edit algorithm to generate matching scores for values of the rotational string representation against the gesture string; and if a threshold for the matching score is met, executing a command associated with the gesture on the device.
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1. A method for analyzing movements of a handheld electronic device, comprising: calculating a matching score for a rotational string representation of rotational movement data for the device to a gesture string representing a gesture related to a command for the device by recursively traversing a matrix containing the rotational string representation, the gesture string representation and earlier movement data of the device using a distance edit algorithm to generate matching scores for values of the rotational string representation against the gesture string; and if a threshold for the matching score is met, executing a command associated with the gesture on the device. 7. The method for analyzing movements of a handheld electronic device as claimed in claim 1 , wherein the rotational string representation and the earlier movement data are used in calculating the matching score to determine if the gesture string straddles the rotational string representation and the earlier movement data.
| 0.647826 |
8,365,086 | 1 | 11 |
1. A computer-implemented system for building instrument or front panels, comprising: a computational device providing access to a graphical panel building application, where: the graphical panel building application generates a graphical user interface (GUI) for rendering and placing components on an instrument or front panel, where: at least one component on the instrument or front panel: directly corresponds with, and interacts only with, a section of code in a textual language program, displays input or output values for the textual language program during execution of the textual language program, and does not interact with or correspond with a graphical diagram, the textual language program includes code for the execution of one or more components on the instrument or front panel, and the instrument or front panel runs in a continuous mode of operation during the execution of the textual language program; and a display device in communication with the computational device, the display device displaying the GUI, the GUI: displaying the instrument or front panel, separately displaying the textual language program, and displaying in a window with the textual language program at least one control allowing a user to switch between threads of execution of the textual language program, the threads of execution comprising two or more of: an initialization procedure, a foreground task, a background task, a timed execution task, an event-driven execution task, and a termination procedure.
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1. A computer-implemented system for building instrument or front panels, comprising: a computational device providing access to a graphical panel building application, where: the graphical panel building application generates a graphical user interface (GUI) for rendering and placing components on an instrument or front panel, where: at least one component on the instrument or front panel: directly corresponds with, and interacts only with, a section of code in a textual language program, displays input or output values for the textual language program during execution of the textual language program, and does not interact with or correspond with a graphical diagram, the textual language program includes code for the execution of one or more components on the instrument or front panel, and the instrument or front panel runs in a continuous mode of operation during the execution of the textual language program; and a display device in communication with the computational device, the display device displaying the GUI, the GUI: displaying the instrument or front panel, separately displaying the textual language program, and displaying in a window with the textual language program at least one control allowing a user to switch between threads of execution of the textual language program, the threads of execution comprising two or more of: an initialization procedure, a foreground task, a background task, a timed execution task, an event-driven execution task, and a termination procedure. 11. The system of claim 1 , further comprising: a library of I/O devices from which the interface to an external data sink or source may be selected.
| 0.631188 |
9,827,017 | 2 | 3 |
2. The method of claim 1 , wherein securing the first rod includes securing a plurality of anchors on the first side of the spine and securing the first rod to the plurality of anchors, the plurality of anchors selectively prevent axial sliding and changes in pitch, yaw, and roll of the first rod.
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2. The method of claim 1 , wherein securing the first rod includes securing a plurality of anchors on the first side of the spine and securing the first rod to the plurality of anchors, the plurality of anchors selectively prevent axial sliding and changes in pitch, yaw, and roll of the first rod. 3. The method of claim 2 , wherein the plurality of anchors are secured to vertebrae outside an apical region of the spine.
| 0.5 |
9,424,553 | 10 | 12 |
10. The apparatus of claim 8 , wherein the processor is configured to execute instructions stored on the memory to output information for displaying the interfaces representing the issue record.
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10. The apparatus of claim 8 , wherein the processor is configured to execute instructions stored on the memory to output information for displaying the interfaces representing the issue record. 12. The apparatus of claim 10 , wherein the processor is configured to execute instructions stored on the memory to output information for displaying the interfaces by outputting information for displaying the consolidated comment.
| 0.538 |
7,805,464 | 1 | 5 |
1. A computer-implemented method for building a web address, comprising: presenting a setup dialog in a single window on a display device, the setup dialog having a website listing area, a parameter edit area, and a web address edit area; displaying in the website listing area a list of websites, each of the websites having a corresponding website Uniform Resource Locator (URL) template for building a web address expression for a web address for the website within the setup dialog; receiving a first input through the setup dialog in the website listing area, the first input specifying a website from the list of websites; automatically determining a list of parameters of the web address for the website based on the corresponding website URL template of the website; presenting the list of parameters in the setup dialog in the parameter edit area; for each parameter presented in the parameter edit area, generating a corresponding parameter edit input for the parameter; receiving a second input through the setup dialog in a parameter edit input for a first parameter, the second input specifying a value for the first parameter; and building the web address expression dynamically in the web address edit area, the web address expression including the first parameter set to the specified value.
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1. A computer-implemented method for building a web address, comprising: presenting a setup dialog in a single window on a display device, the setup dialog having a website listing area, a parameter edit area, and a web address edit area; displaying in the website listing area a list of websites, each of the websites having a corresponding website Uniform Resource Locator (URL) template for building a web address expression for a web address for the website within the setup dialog; receiving a first input through the setup dialog in the website listing area, the first input specifying a website from the list of websites; automatically determining a list of parameters of the web address for the website based on the corresponding website URL template of the website; presenting the list of parameters in the setup dialog in the parameter edit area; for each parameter presented in the parameter edit area, generating a corresponding parameter edit input for the parameter; receiving a second input through the setup dialog in a parameter edit input for a first parameter, the second input specifying a value for the first parameter; and building the web address expression dynamically in the web address edit area, the web address expression including the first parameter set to the specified value. 5. The method of claim 1 , further comprising: presenting a static portion of the web address in the web address expression in the web address edit area of the setup dialog.
| 0.830392 |
7,613,365 | 8 | 9 |
8. The video summarization method according to claim 7 , wherein the step of computing the sums of the similarity values, respectively, to obtain the operation results is based on an equation: S A ( u + 1 , v ) = min i { S A ( u , i ) + S ( i , v ) } , v - 1 ≤ i ≤ V - U + u , where v represents the index of the frames, V represents the number of the frames, u represents the index of the key frames, U represents the number of the key frames, S A (u+1,v) represents one of the operation results, S A (u,i) represents the sum of part of the similarity values, and S(i,v) represents the similarity between the ith frame and the vth frame of the frames.
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8. The video summarization method according to claim 7 , wherein the step of computing the sums of the similarity values, respectively, to obtain the operation results is based on an equation: S A ( u + 1 , v ) = min i { S A ( u , i ) + S ( i , v ) } , v - 1 ≤ i ≤ V - U + u , where v represents the index of the frames, V represents the number of the frames, u represents the index of the key frames, U represents the number of the key frames, S A (u+1,v) represents one of the operation results, S A (u,i) represents the sum of part of the similarity values, and S(i,v) represents the similarity between the ith frame and the vth frame of the frames. 9. The video summarization method according to claim 8 , wherein the step of finding the minimum value from the operation results is in accordance with an equation: S Best = min v [ S A ( U , v ) ] , where S Best represents the minimum value and S A (U,v) represents the operation results.
| 0.5 |
7,680,913 | 1 | 3 |
1. A method for use in a telecommunications network for implementing subscriber availability preferences that govern how clients of the network can use data and resources associated with subscribers of the network, comprising: establishing a set of availability preferences for a subscriber; said availability preferences being based on one or more attribute values; translating said availability preferences into one or more availability policies, wherein said policies evaluate events and implement rules based on said events, and implementation of said rules produces actions and events; receiving a service request for subscriber data and resources; generating, at a processor, at least one evaluator to evaluate each of the one or more availability policies by compiling each policy into a different policy evaluator program, wherein each generated evaluator evaluates one availability policy; associating each evaluator with one availability policy; and evaluating, at the processor, each availability policy using the associated evaluator when said availability policy corresponds to the received service request, wherein evaluating an availability policy comprises determining the number of times that the availability policy has been evaluated to determine whether to update an event condition; and serving requests from said clients for said subscriber data and resources according to said preferences and the evaluated availability policy.
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1. A method for use in a telecommunications network for implementing subscriber availability preferences that govern how clients of the network can use data and resources associated with subscribers of the network, comprising: establishing a set of availability preferences for a subscriber; said availability preferences being based on one or more attribute values; translating said availability preferences into one or more availability policies, wherein said policies evaluate events and implement rules based on said events, and implementation of said rules produces actions and events; receiving a service request for subscriber data and resources; generating, at a processor, at least one evaluator to evaluate each of the one or more availability policies by compiling each policy into a different policy evaluator program, wherein each generated evaluator evaluates one availability policy; associating each evaluator with one availability policy; and evaluating, at the processor, each availability policy using the associated evaluator when said availability policy corresponds to the received service request, wherein evaluating an availability policy comprises determining the number of times that the availability policy has been evaluated to determine whether to update an event condition; and serving requests from said clients for said subscriber data and resources according to said preferences and the evaluated availability policy. 3. A method in accordance with claim 1 further including initialization handling to initialize policy contexts, prepare to receive input events and maintain an event history.
| 0.5 |
8,462,372 | 9 | 10 |
9. The image processing apparatus as claimed in claim 1 , further comprising: an event data transmitting part configured to transmit event data including the document kind data corresponding to the document requested to be output from an application; and a controlling part configured to control the outputting of the document according to the event data transmitted from the event data transmitting part.
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9. The image processing apparatus as claimed in claim 1 , further comprising: an event data transmitting part configured to transmit event data including the document kind data corresponding to the document requested to be output from an application; and a controlling part configured to control the outputting of the document according to the event data transmitted from the event data transmitting part. 10. The image processing apparatus as claimed in claim 9 , wherein the event data transmitting part is configured to transmit the event data further including at least one of the output condition data and a result notification data indicating a destination for transmitting a result of outputting the document.
| 0.5 |
8,533,188 | 1 | 8 |
1. A computer-implemented method for facilitating online advertising, comprising: generating a semantic user profile for each of a plurality of users, based at least on user behavior data collected for each user; indexing the semantic user profiles; receiving at least one semantic query; performing a search over the indexed semantic user profiles based on the at least one semantic query, to enable selection of a target user segment from the plurality of users; determining a set of the indexed semantic user profiles resulting from the search; ranking the set of the indexed semantic user profiles based at least on an index of each of the indexed semantic user profiles of the set; and providing the ranked set of the indexed semantic user profiles, to enable the selection of the target user segment.
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1. A computer-implemented method for facilitating online advertising, comprising: generating a semantic user profile for each of a plurality of users, based at least on user behavior data collected for each user; indexing the semantic user profiles; receiving at least one semantic query; performing a search over the indexed semantic user profiles based on the at least one semantic query, to enable selection of a target user segment from the plurality of users; determining a set of the indexed semantic user profiles resulting from the search; ranking the set of the indexed semantic user profiles based at least on an index of each of the indexed semantic user profiles of the set; and providing the ranked set of the indexed semantic user profiles, to enable the selection of the target user segment. 8. The method of claim 1 , wherein ranking the set of indexed semantic user profiles employs a ranking model developed using machine learning.
| 0.681614 |
9,477,715 | 16 | 20 |
16. A non-transitory computer-readable medium storing instructions, the instructions comprising: one or more instructions that, when executed by at least one processor, cause the at least one processor to: create news content that includes a plurality of news items; receive a request to remove a news item, of the plurality of news items, from the news content; identify one or more similar news items, of the plurality of news items, with content similar to content of the news item; remove the news item and the one or more similar news items from the news content based on the request to remove the news item; identify one or more replacement news items to replace the news item and the similar one or more news items; create updated content by replacing the news item and the one or more similar news items with the one or more replacement news items; and provide, for presentation, the updated news content.
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16. A non-transitory computer-readable medium storing instructions, the instructions comprising: one or more instructions that, when executed by at least one processor, cause the at least one processor to: create news content that includes a plurality of news items; receive a request to remove a news item, of the plurality of news items, from the news content; identify one or more similar news items, of the plurality of news items, with content similar to content of the news item; remove the news item and the one or more similar news items from the news content based on the request to remove the news item; identify one or more replacement news items to replace the news item and the similar one or more news items; create updated content by replacing the news item and the one or more similar news items with the one or more replacement news items; and provide, for presentation, the updated news content. 20. The non-transitory computer-readable medium of claim 16 , where the instructions further comprise: one or more instructions that, when executed by the at least one processor, cause the at least one processor to: determine a ranking based on the news content, and provide, for presentation, information regarding the news content based on the ranking.
| 0.598639 |
8,170,866 | 8 | 13 |
8. A non-transitory computer-readable storage module containing instructions which, when executed by a computing device, cause the computing device to generate a speech recognition model, the instructions comprising: retrieving a list of numbers in a calling history associated with an individual; identifying data of a social network associated with each number in the list of numbers; refining the data of the social network based on at least one parameter, to yield refined data of the social network; and creating, via a processor, a language model for the individual based on the refined data of the social network.
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8. A non-transitory computer-readable storage module containing instructions which, when executed by a computing device, cause the computing device to generate a speech recognition model, the instructions comprising: retrieving a list of numbers in a calling history associated with an individual; identifying data of a social network associated with each number in the list of numbers; refining the data of the social network based on at least one parameter, to yield refined data of the social network; and creating, via a processor, a language model for the individual based on the refined data of the social network. 13. The non-transitory computer-readable storage module of claim 8 , further comprising implementing the language model in a spoken dialog system at a time based on a history of the individual and to anticipate user input.
| 0.504464 |
8,447,722 | 9 | 12 |
9. An apparatus, comprising: a capture system that includes a processor and the memory, the apparatus being configured to: filter information contained in a plurality of tags stored in a database, the filtering based on one or more specified elements of a tag, wherein the information relates to objects discovered through a capture system, and wherein each object is associated with one of the tags, wherein each of the one or more specified elements includes one of a communication parameter, a content type, a concept, a word, and a signature, generate an Online Analytical Processing (OLAP) element to represent the filtered information, and receive one or more parameters based, at least in part, on the OLAP element, wherein each of the one or more parameters includes one of a communication parameter, a content type, a concept, a word, and a signature, wherein a rule is generated from the one or more parameters, and wherein the rule includes an action to be performed on one or more objects identified by the one or more parameters, the one or more objects sought to be propagated through e-mail in a network environment.
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9. An apparatus, comprising: a capture system that includes a processor and the memory, the apparatus being configured to: filter information contained in a plurality of tags stored in a database, the filtering based on one or more specified elements of a tag, wherein the information relates to objects discovered through a capture system, and wherein each object is associated with one of the tags, wherein each of the one or more specified elements includes one of a communication parameter, a content type, a concept, a word, and a signature, generate an Online Analytical Processing (OLAP) element to represent the filtered information, and receive one or more parameters based, at least in part, on the OLAP element, wherein each of the one or more parameters includes one of a communication parameter, a content type, a concept, a word, and a signature, wherein a rule is generated from the one or more parameters, and wherein the rule includes an action to be performed on one or more objects identified by the one or more parameters, the one or more objects sought to be propagated through e-mail in a network environment. 12. The apparatus of claim 9 , wherein the capture system captures a packet stream, recreates a flow from the packet stream, analyzes the flow to create at least one tag and at least one object from the flow, and stores the at least one tag in a tag database and the at least one object in an object database.
| 0.5 |
8,977,614 | 33 | 34 |
33. The method of claim 30 , wherein: searching of the at least one contextual database is performed by a database search engine; and selecting of the at least one advertisement from the advertisement database is performed by an associative search engine.
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33. The method of claim 30 , wherein: searching of the at least one contextual database is performed by a database search engine; and selecting of the at least one advertisement from the advertisement database is performed by an associative search engine. 34. The method of claim 33 , wherein: producing the at least one modified search result is performed by the database search engine; and updating the at least one advertisement is performed by the associative search engine.
| 0.5 |
10,037,460 | 2 | 10 |
2. The method of claim 1 , further comprising: determining a first correlation level between the retrieved payload data and the extracted personally identifiable information.
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2. The method of claim 1 , further comprising: determining a first correlation level between the retrieved payload data and the extracted personally identifiable information. 10. The method of claim 2 , wherein receiving an identification document comprises receiving a passport of the person.
| 0.82948 |
8,589,410 | 1 | 9 |
1. A system comprising: a processor in communication with computer-readable storage media; an index maintained in the computer-readable storage media, the index comprising image data that describes one or more first shape-descriptors, including first edgel-based representations, of each of a plurality of images, wherein the first edgel-based representations comprise a set of pixels that depict one or more boundary contours of each of the plurality of images and are created by segmenting each of the plurality of images into a plurality of image segments and performing a multi-phase contour detection on the plurality of image segments; a query receiving component that receives a visual input as a search query; a query parser that converts the visual input into at least one second shape-descriptor, including a second edgel-based representation, wherein the second edgel-based representation comprises a set of pixels that depicts one or more boundary contours of the visual input and is created by segmenting the visual input into a plurality of visual input segments and performing a multi-phase contour detection on each of the visual input segments; and a visual input matching component that matches the one or more first shape-descriptors, including the first edgel-based representations, of the plurality of images with the at least one second shape-descriptor, including the second edgel-based representation, of the visual input from the search query to identify at least one matching image of the plurality of images.
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1. A system comprising: a processor in communication with computer-readable storage media; an index maintained in the computer-readable storage media, the index comprising image data that describes one or more first shape-descriptors, including first edgel-based representations, of each of a plurality of images, wherein the first edgel-based representations comprise a set of pixels that depict one or more boundary contours of each of the plurality of images and are created by segmenting each of the plurality of images into a plurality of image segments and performing a multi-phase contour detection on the plurality of image segments; a query receiving component that receives a visual input as a search query; a query parser that converts the visual input into at least one second shape-descriptor, including a second edgel-based representation, wherein the second edgel-based representation comprises a set of pixels that depicts one or more boundary contours of the visual input and is created by segmenting the visual input into a plurality of visual input segments and performing a multi-phase contour detection on each of the visual input segments; and a visual input matching component that matches the one or more first shape-descriptors, including the first edgel-based representations, of the plurality of images with the at least one second shape-descriptor, including the second edgel-based representation, of the visual input from the search query to identify at least one matching image of the plurality of images. 9. The system of claim 1 , wherein the search query received by the query receiving component comprises visual input and textual input and wherein the query parser extracts the textual input from the visual input.
| 0.580709 |
7,707,635 | 19 | 20 |
19. The method of claim 15 wherein the plurality of script patterns are executed by a scripting engine.
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19. The method of claim 15 wherein the plurality of script patterns are executed by a scripting engine. 20. The method of claim 19 wherein the plurality of script patterns are executed in separate contexts.
| 0.5 |
9,235,978 | 23 | 24 |
23. The system method of claim 21 , wherein the first data set of captured user interactions comprises information regarding an action initiated by the user, selected from a group consisting of: a selection by the user to visit to a web site; a selection by the user to like content on a web site; a selection by the user to follow content on a web site; and a selection by the user to retrieve a document.
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23. The system method of claim 21 , wherein the first data set of captured user interactions comprises information regarding an action initiated by the user, selected from a group consisting of: a selection by the user to visit to a web site; a selection by the user to like content on a web site; a selection by the user to follow content on a web site; and a selection by the user to retrieve a document. 24. The method of claim 23 , further comprising: access a second data set comprising background data pertaining to user interactions with the client computing device from electronic memory storage, wherein the second data set comprises natural language provided by the user; and wherein the processor receives the second data set and analyzes the second data set, the analysis comprising processing the natural language within a context derived from the second data set.
| 0.5 |
7,818,378 | 1 | 9 |
1. A computer-implemented method of processing messages, comprising: at a client computer: receiving a plurality of messages directed to a user, each message having a unique message identifier; associating each of the plurality of messages with a respective conversation, each conversation having a respective conversation identifier, wherein each conversation comprises a set of one or more messages sharing a common set of characteristics that meet first predefined criteria and the respective conversation identifier is distinct from a subject reference of the one or more messages in the respective conversation; associating with each conversation a set of senders of messages included in the conversation; and displaying a list of conversations in an order determined in accordance with second predefined criteria, each conversation being represented as a single item in the list, wherein a plurality of conversations in the list of conversations each include a plurality of messages that share a common set of characteristics that meet the first predefined criteria; wherein the list of conversations comprises a set of rows, each row corresponding to one of the listed conversations and including at least a sender list, a conversation topic and a date/time value, wherein the sender list of a row in the list of conversations includes identifiers of one or more senders of at least one message in the corresponding conversation, including identifiers of a plurality of the senders in the set of senders, but less than all of the senders in the set of senders, when the set of senders exceeds a predefined limit.
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1. A computer-implemented method of processing messages, comprising: at a client computer: receiving a plurality of messages directed to a user, each message having a unique message identifier; associating each of the plurality of messages with a respective conversation, each conversation having a respective conversation identifier, wherein each conversation comprises a set of one or more messages sharing a common set of characteristics that meet first predefined criteria and the respective conversation identifier is distinct from a subject reference of the one or more messages in the respective conversation; associating with each conversation a set of senders of messages included in the conversation; and displaying a list of conversations in an order determined in accordance with second predefined criteria, each conversation being represented as a single item in the list, wherein a plurality of conversations in the list of conversations each include a plurality of messages that share a common set of characteristics that meet the first predefined criteria; wherein the list of conversations comprises a set of rows, each row corresponding to one of the listed conversations and including at least a sender list, a conversation topic and a date/time value, wherein the sender list of a row in the list of conversations includes identifiers of one or more senders of at least one message in the corresponding conversation, including identifiers of a plurality of the senders in the set of senders, but less than all of the senders in the set of senders, when the set of senders exceeds a predefined limit. 9. The method of claim 1 , wherein, when the conversation corresponding to the row includes a message sent by a first sender and one or more messages sent by a second sender, the displaying includes displaying in a first distinct format an identifier of the first sender in the sender list when the message sent by the first sender has not been viewed or marked as read by the user, and displaying in second distinct format an identifier of the second sender in the sender list when all the messages sent by the second sender have been viewed or marked as read by the user.
| 0.5 |
9,442,899 | 21 | 26 |
21. A non-transitory computer-readable recording medium storing a text data embedding program for making a computer of an image forming apparatus execute functions comprising: obtaining an image file by scanning a document; obtaining a text string from each line of text by performing character recognition on the image file, wherein each text string respectively corresponds to one line of text in the image file; splitting each text string into a plurality of short text strings in accordance with a predetermined rule, wherein at least one of the plurality of short text strings which form one text string corresponding to one line of text in the image file comprises a plurality of characters; determining a uniform font size for each text string such that the plurality of short text strings, which form the text string and which include the at least one short text string comprising the plurality of characters, have the same uniform font size; determining an x-axis position for each of the short text strings to be embedded in the image file, based on x-coordinates of characters at a forefront of the respective short text strings, the short text strings including the at least one short text string comprising the plurality of characters, wherein an x-axis of each short text string is aligned along forward and backward reading directions; and embedding text data of the short text strings in the image file at the respective determined x-axis positions in the determined uniform font size for the entire text string.
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21. A non-transitory computer-readable recording medium storing a text data embedding program for making a computer of an image forming apparatus execute functions comprising: obtaining an image file by scanning a document; obtaining a text string from each line of text by performing character recognition on the image file, wherein each text string respectively corresponds to one line of text in the image file; splitting each text string into a plurality of short text strings in accordance with a predetermined rule, wherein at least one of the plurality of short text strings which form one text string corresponding to one line of text in the image file comprises a plurality of characters; determining a uniform font size for each text string such that the plurality of short text strings, which form the text string and which include the at least one short text string comprising the plurality of characters, have the same uniform font size; determining an x-axis position for each of the short text strings to be embedded in the image file, based on x-coordinates of characters at a forefront of the respective short text strings, the short text strings including the at least one short text string comprising the plurality of characters, wherein an x-axis of each short text string is aligned along forward and backward reading directions; and embedding text data of the short text strings in the image file at the respective determined x-axis positions in the determined uniform font size for the entire text string. 26. The non-transitory computer-readable recording medium storing the text data embedding program as recited in claim 21 , wherein each text string is split into a plurality of short text strings at every comma, dot, or space, or a combination of two or all the three of the foregoing.
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