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1. A spinal rod anchoring system comprising: a rod adapted to extend along a spine of a patient; a first rod anchor adapted to be fixed to a vertebra of the spine, the first rod anchor receiving the rod such that the rod is secured against substantial lateral translation relative to the first rod anchor and the rod is allowed to slide axially relative to the first rod anchor through a first pivot point and to change in pitch and yaw about the first pivot point while substantially limiting roll of the rod relative to the first rod anchor; a housing forming a receptacle portion having a substantially concave inner surface and a protrusion extending inwardly from the concave inner surface; and a sleeve slidably receiving the rod, the sleeve having a substantially convex mating surface mating with the concave inner surface, the sleeve having a circumferential groove in the convex mating surface mating with the protrusion in the concave inner surface of the housing such that the sleeve is adapted to rotate relative to the housing to change in pitch and yaw relative to the housing while being substantially prevented from changing in roll relative to the housing. | 1. A spinal rod anchoring system comprising: a rod adapted to extend along a spine of a patient; a first rod anchor adapted to be fixed to a vertebra of the spine, the first rod anchor receiving the rod such that the rod is secured against substantial lateral translation relative to the first rod anchor and the rod is allowed to slide axially relative to the first rod anchor through a first pivot point and to change in pitch and yaw about the first pivot point while substantially limiting roll of the rod relative to the first rod anchor; a housing forming a receptacle portion having a substantially concave inner surface and a protrusion extending inwardly from the concave inner surface; and a sleeve slidably receiving the rod, the sleeve having a substantially convex mating surface mating with the concave inner surface, the sleeve having a circumferential groove in the convex mating surface mating with the protrusion in the concave inner surface of the housing such that the sleeve is adapted to rotate relative to the housing to change in pitch and yaw relative to the housing while being substantially prevented from changing in roll relative to the housing. 4. The system of claim 1 , wherein the first rod anchor is further adapted to limit yaw of the rod relative to the first rod anchor to a predefined range. | 0.500818 |
1. A computer implemented method utilizing a processor comprising: representing a data model as a graph, the graph stored at a first memory location, and the graph including an assertion as a reified n-ary relation represented as a node in the graph with edges linking to concepts participating in the relation, the node including a score attribute representing a strength of a relationship among concepts represented in the graph; ingesting the graph, including traversing the graph and flattening one or more node paths and storing the paths, the traversal comprising: following all paths from a current concept to a root concept; following all paths from a category of the current concept to a root category; and following a neighborhood of the current concept to an adjacent concept, wherein neighbor data demonstrates a non-hierarchical relationship of the current concept to a neighboring concept; converting the ingested graph into a set of flat document structures supported by information ranking and retrieval framework, including modeling data represented in the graph into a searchable index, the searchable index representing a structure of the node and edges represented in the graph, and storing the document structure at a second memory location; and conducting a search of the searchable index, including specifying a search concept and the score attribute to the searchable index. | 1. A computer implemented method utilizing a processor comprising: representing a data model as a graph, the graph stored at a first memory location, and the graph including an assertion as a reified n-ary relation represented as a node in the graph with edges linking to concepts participating in the relation, the node including a score attribute representing a strength of a relationship among concepts represented in the graph; ingesting the graph, including traversing the graph and flattening one or more node paths and storing the paths, the traversal comprising: following all paths from a current concept to a root concept; following all paths from a category of the current concept to a root category; and following a neighborhood of the current concept to an adjacent concept, wherein neighbor data demonstrates a non-hierarchical relationship of the current concept to a neighboring concept; converting the ingested graph into a set of flat document structures supported by information ranking and retrieval framework, including modeling data represented in the graph into a searchable index, the searchable index representing a structure of the node and edges represented in the graph, and storing the document structure at a second memory location; and conducting a search of the searchable index, including specifying a search concept and the score attribute to the searchable index. 8. The method of claim 1 , further comprising searching the searchable index, including presenting a concept search parameter selected from the group consisting of: concept name, concept synonym, a related concept name, a related concept synonym, category hierarchy, and a concept inheritance hierarchy, and combinations thereof, and an assertion search parameter selected from the group consisting of: a related concept name and a related concept synonym. | 0.543757 |
9. An apparatus comprising: one or more processors; and one or more memories storing instructions which, when processed by one or more processors, cause: an information service receiving, over one or more communications networks from a client device, one or more alphanumeric keywords, wherein both the one or more alphanumeric keywords and an information service indicator that uniquely identifies the information service are displayed to a user of the client device in visual content on a non-Web page medium; the information service identifying, at a first time, one or more first search-limiting criteria that both correspond to the one or more alphanumeric keywords and provide a first context for the one or more alphanumeric keywords, wherein the one or more first search-limiting criteria are not included in the visual content on the non-Web page medium; the information service providing both the one or more alphanumeric keywords and the one or more first search-limiting criteria to a search engine, wherein the search engine performs a first search using both the one or more alphanumeric keywords and the one or more first search-limiting criteria and generates first search results; the information service receiving the first search results from the search engine; the information service transmitting the first search results over the one or more communications networks to the client device; the information service identifying, at a second time that is different than the first time, one or more second search-limiting criteria that both correspond to the one or more alphanumeric keywords and provide, for the one or more alphanumeric keywords, a second context that is different than the first context; and the information service providing both the one or more alphanumeric keywords and the one or more second search-limiting criteria to the search engine, wherein the search engine performs a second search using both the one or more alphanumeric keywords and the one or more second search-limiting criteria and generates second search results. | 9. An apparatus comprising: one or more processors; and one or more memories storing instructions which, when processed by one or more processors, cause: an information service receiving, over one or more communications networks from a client device, one or more alphanumeric keywords, wherein both the one or more alphanumeric keywords and an information service indicator that uniquely identifies the information service are displayed to a user of the client device in visual content on a non-Web page medium; the information service identifying, at a first time, one or more first search-limiting criteria that both correspond to the one or more alphanumeric keywords and provide a first context for the one or more alphanumeric keywords, wherein the one or more first search-limiting criteria are not included in the visual content on the non-Web page medium; the information service providing both the one or more alphanumeric keywords and the one or more first search-limiting criteria to a search engine, wherein the search engine performs a first search using both the one or more alphanumeric keywords and the one or more first search-limiting criteria and generates first search results; the information service receiving the first search results from the search engine; the information service transmitting the first search results over the one or more communications networks to the client device; the information service identifying, at a second time that is different than the first time, one or more second search-limiting criteria that both correspond to the one or more alphanumeric keywords and provide, for the one or more alphanumeric keywords, a second context that is different than the first context; and the information service providing both the one or more alphanumeric keywords and the one or more second search-limiting criteria to the search engine, wherein the search engine performs a second search using both the one or more alphanumeric keywords and the one or more second search-limiting criteria and generates second search results. 11. The apparatus of claim 9 , wherein the one or more first search-limiting criteria include one or more additional alphanumeric keywords. | 0.849515 |
21. A computer-readable e storage medium having a computer-readable program embodied therein for directing operation of a computer system including a processor and at least one input device, wherein the computer-readable program includes instructions for operating the computer system for optimizing a digital circuit design in accordance with the following: receiving a first representation of the digital circuit design from the at least one input device; translating the first representation of the digital circuit design to a second representation of the digital circuit design, the second representation comprising a plurality of syntactic expressions that admit a representation of a higher-order function of base Boolean values; and executing and syntactically manipulating the plurality of syntactic expressions to form a third representation of the digital circuit design, wherein manipulating step comprises reducing a number of nodes within the syntactic expressions. | 21. A computer-readable e storage medium having a computer-readable program embodied therein for directing operation of a computer system including a processor and at least one input device, wherein the computer-readable program includes instructions for operating the computer system for optimizing a digital circuit design in accordance with the following: receiving a first representation of the digital circuit design from the at least one input device; translating the first representation of the digital circuit design to a second representation of the digital circuit design, the second representation comprising a plurality of syntactic expressions that admit a representation of a higher-order function of base Boolean values; and executing and syntactically manipulating the plurality of syntactic expressions to form a third representation of the digital circuit design, wherein manipulating step comprises reducing a number of nodes within the syntactic expressions. 29. The computer-readable storage medium having the computer readable program embodied therein for directing operation of the computer system including the processor and at least one input device as recited in claim 21 , wherein the plurality of syntactic expressions are implemented with kernel cells chosen from the group consisting of selection circuits, memory cells and buffers. | 0.548113 |
3. The method according to claim 1 , wherein the downloading is implemented through a collaboration support component of a software-based Web Application Toolkit (WATT), wherein the social information is downloaded from a social network. | 3. The method according to claim 1 , wherein the downloading is implemented through a collaboration support component of a software-based Web Application Toolkit (WATT), wherein the social information is downloaded from a social network. 4. The method according to claim 3 , wherein the collaboration support component is integrated into a development support component to form the software-based Web Application Toolkit. | 0.885537 |
1. A method of collecting information from users and aggregating it into a useful format, the method comprising: through a computer device and server computer in communication with each other: a. presenting a question to a subject user at the computer device; b. electronically recording, by the server computer, the subject user's free text response to the question; c. calculating a list of one or more prior free text responses from other subject users which may be equivalent to response of the subject user; d. presenting the calculated list of potentially-equivalent free text responses from other subject users to the subject user at the computer device; e. the subject user selecting if one or more prior responses on the list are equivalent to the subject user's response or if none on the list is equivalent; f. electronically recording, by the server computer, the subject user's selection of an equivalent response; g. calculating a selected list of responses to the question; h. re-presenting the question and the selected list of responses to the subject user at the computer device; i. electronically recording, by the server computer which response on the selected list the subject user selects as the best response to the question; such that responses from the subject user are collected and aggregated into the responses from other subject users in a manner resulting in information enhancing knowledge retention and learning. | 1. A method of collecting information from users and aggregating it into a useful format, the method comprising: through a computer device and server computer in communication with each other: a. presenting a question to a subject user at the computer device; b. electronically recording, by the server computer, the subject user's free text response to the question; c. calculating a list of one or more prior free text responses from other subject users which may be equivalent to response of the subject user; d. presenting the calculated list of potentially-equivalent free text responses from other subject users to the subject user at the computer device; e. the subject user selecting if one or more prior responses on the list are equivalent to the subject user's response or if none on the list is equivalent; f. electronically recording, by the server computer, the subject user's selection of an equivalent response; g. calculating a selected list of responses to the question; h. re-presenting the question and the selected list of responses to the subject user at the computer device; i. electronically recording, by the server computer which response on the selected list the subject user selects as the best response to the question; such that responses from the subject user are collected and aggregated into the responses from other subject users in a manner resulting in information enhancing knowledge retention and learning. 18. The method of claim 1 , further comprising the step of providing the subject user with the correct answer(s) to the question and/or educational material to foster learning about the topic covered by the question. | 0.516265 |
1. A system for improved sentence parsing having a computer, a display screen receiving display signals from the computer forming a plurality of display objects on the screen and a cursor image on the screen, and a cursor control element for user control providing i) a cursor control signal to the computer specifying the position of the cursor, and ii) a cursor action signal having attach and detach states to attach and release the cursor to an object underlying the cursor, said underlying object movable with the cursor during the attach state of the cursor action signal, and dropping the object in the current position thereof responsive to the detach state of the cursor action signal, said computer receiving an input sentence signal encoding the characters comprising a sentence and generating therefrom a meta-tag listing of the sentence, and providing according to a preselected parsing algorithm, an initial meta-tag listing signal encoding a parsed version of the noun, verb, and prepositional phrases of the sentence, wherein the computer further comprises: a) a display element receiving the initial meta-tag listing signal, and producing an initial parsed image display signal for the display screen, said initial parsed image display signal creating on the display screen the sentence text arranged in original order, and having on successive lines, the noun, verb, and prepositional phrases of the sentence with indentations specifying the parsing relationships among them; b) a format element receiving the parsed sentence signal and creating an excon image for each phrase in the sentence in an expandable container (excon) format, each said image including the phrase and a decoration unique to that phrase, and encoding the excon format in an excon format signal defining the shape of each excon image and an initial topologic relationship of each excon image to the other excon images specifying the initial parsing; and c) a correction element receiving the excon format signal and the cursor control and action signals, and responsive thereto attaching the cursor to an excon image, moving the cursor and the excon image, and then detaching the cursor from the excon image, and providing a display signal creating an image following said attaching, moving, and detaching activities, and responsive to the change from the attach to the detach state of the cursor action signal, producing a final parsed image display signal creating on the display screen a final topologic relationship of each excon image to the other excon images specifying the altered parsing, wherein the sentence text has on successive lines, the noun, verb, and prepositional phrases of the sentence with indentations specifying the final parsing. | 1. A system for improved sentence parsing having a computer, a display screen receiving display signals from the computer forming a plurality of display objects on the screen and a cursor image on the screen, and a cursor control element for user control providing i) a cursor control signal to the computer specifying the position of the cursor, and ii) a cursor action signal having attach and detach states to attach and release the cursor to an object underlying the cursor, said underlying object movable with the cursor during the attach state of the cursor action signal, and dropping the object in the current position thereof responsive to the detach state of the cursor action signal, said computer receiving an input sentence signal encoding the characters comprising a sentence and generating therefrom a meta-tag listing of the sentence, and providing according to a preselected parsing algorithm, an initial meta-tag listing signal encoding a parsed version of the noun, verb, and prepositional phrases of the sentence, wherein the computer further comprises: a) a display element receiving the initial meta-tag listing signal, and producing an initial parsed image display signal for the display screen, said initial parsed image display signal creating on the display screen the sentence text arranged in original order, and having on successive lines, the noun, verb, and prepositional phrases of the sentence with indentations specifying the parsing relationships among them; b) a format element receiving the parsed sentence signal and creating an excon image for each phrase in the sentence in an expandable container (excon) format, each said image including the phrase and a decoration unique to that phrase, and encoding the excon format in an excon format signal defining the shape of each excon image and an initial topologic relationship of each excon image to the other excon images specifying the initial parsing; and c) a correction element receiving the excon format signal and the cursor control and action signals, and responsive thereto attaching the cursor to an excon image, moving the cursor and the excon image, and then detaching the cursor from the excon image, and providing a display signal creating an image following said attaching, moving, and detaching activities, and responsive to the change from the attach to the detach state of the cursor action signal, producing a final parsed image display signal creating on the display screen a final topologic relationship of each excon image to the other excon images specifying the altered parsing, wherein the sentence text has on successive lines, the noun, verb, and prepositional phrases of the sentence with indentations specifying the final parsing. 2. The system of claim 1 , wherein the decoration comprises a pattern through which the phrase is visible. | 0.535497 |
4. The computer-implemented method set forth in claim 1 , wherein a priority of each of the plurality of components is determined for a plurality of time intervals. | 4. The computer-implemented method set forth in claim 1 , wherein a priority of each of the plurality of components is determined for a plurality of time intervals. 5. The computer-implemented method set forth in claim 4 , further comprising storing data indicating a change in priority for at least one component from one time interval to another time interval. | 0.956311 |
1. A method of sharing in one or more network(s), the method comprising: storing and managing each registered user's one or more profile(s), IN and OUT permission and relational connections or dynamic relationships in a non-transitory computer readable memory of a central server; mapping or requesting sharing of one or more selected contents by one or more requestor or sharing user(s) from one or more network(s) in a non-transitory computer readable memory of a central server; determining one or more target users by requestor(s) or sharing user(s) with the said request including share selected one or more contents from one or more network(s) with or via one or more selected communication channels or services, applications or modules, connections or relations from set of requestor(s) or sharing user(s) related subscribed communication channels or services, installed applications or modules and connected or related users; receiving, storing and processing one or more shared contents with metadata including determined target users of requestor(s) or sharing user(s) from one or more network(s) in a non-transitory computer readable memory of a central server; matching by the central server a target user with the requestor or sharing user, wherein the matching is conducted by the central server based on one or more selections, IN and OUT preferences, profiles and connections of requestor(s) or sharing user(s); and providing or synchronizing or updating said one or more shared contents of said requestor(s) or sharing user(s) from one or more network(s) to said determined one or more target users. | 1. A method of sharing in one or more network(s), the method comprising: storing and managing each registered user's one or more profile(s), IN and OUT permission and relational connections or dynamic relationships in a non-transitory computer readable memory of a central server; mapping or requesting sharing of one or more selected contents by one or more requestor or sharing user(s) from one or more network(s) in a non-transitory computer readable memory of a central server; determining one or more target users by requestor(s) or sharing user(s) with the said request including share selected one or more contents from one or more network(s) with or via one or more selected communication channels or services, applications or modules, connections or relations from set of requestor(s) or sharing user(s) related subscribed communication channels or services, installed applications or modules and connected or related users; receiving, storing and processing one or more shared contents with metadata including determined target users of requestor(s) or sharing user(s) from one or more network(s) in a non-transitory computer readable memory of a central server; matching by the central server a target user with the requestor or sharing user, wherein the matching is conducted by the central server based on one or more selections, IN and OUT preferences, profiles and connections of requestor(s) or sharing user(s); and providing or synchronizing or updating said one or more shared contents of said requestor(s) or sharing user(s) from one or more network(s) to said determined one or more target users. 9. The method as claimed in claim 1 , wherein said shared contents comprising multimedia contents including text, image, video, URL and one or more file types. | 0.599067 |
4. The data learning apparatus according to claim 1 , wherein each of said plurality of first sample feature vectors and said plurality of second sample feature vectors is a vector having feature quantities indicating features of an image as components thereof, and each of the corresponding classes indicated by the first learning data and the second learning data is a class indicating a meaning of an image. | 4. The data learning apparatus according to claim 1 , wherein each of said plurality of first sample feature vectors and said plurality of second sample feature vectors is a vector having feature quantities indicating features of an image as components thereof, and each of the corresponding classes indicated by the first learning data and the second learning data is a class indicating a meaning of an image. 5. The data learning apparatus according to claim 4 , wherein the meaning of an image corresponds to a descriptor of the contents depicted in an image, and is contained in the feature vectors as a parameter. | 0.967891 |
7. The method as claimed in claim 6 further comprising the step of creating templates for transforming or translating the data from the at least one source to obtain the transformed data. | 7. The method as claimed in claim 6 further comprising the step of creating templates for transforming or translating the data from the at least one source to obtain the transformed data. 18. The method as claimed in claim 7 wherein the set of instructions are generated based on the templates and the schema. | 0.903292 |
1. A method comprising: measuring near-infrared optical energy indicative of oxygenation levels in a blood supply of a cortex of a brain of a subject to obtain a plurality of neural responses of the subject each time the subject answers a question of a respective plurality of questions, wherein at least one of the plurality of questions is repeated a plurality of times; measuring near-infrared optical energy indicative of oxygenation levels in the blood supply of the cortex of the brain of the subject to obtain a neural response of the subject associated with the subject's response to a visual cue of an affirmation attestation, wherein the affirmation attestation is indicative of a query as to the truthfulness of a response to a previous one of the plurality of questions; comparing the oxygenation levels indicated by the measured near-infrared optical energy with a baseline oxygenation level, wherein the baseline oxygenation level is indicative of one of a known truthful response or a known false response; and if the oxygenation levels indicated by the measured near-infrared optical energy differs from the baseline oxygenation level, determining that the subject conducted at least one of deception in response to a question or malingered in response to a question. | 1. A method comprising: measuring near-infrared optical energy indicative of oxygenation levels in a blood supply of a cortex of a brain of a subject to obtain a plurality of neural responses of the subject each time the subject answers a question of a respective plurality of questions, wherein at least one of the plurality of questions is repeated a plurality of times; measuring near-infrared optical energy indicative of oxygenation levels in the blood supply of the cortex of the brain of the subject to obtain a neural response of the subject associated with the subject's response to a visual cue of an affirmation attestation, wherein the affirmation attestation is indicative of a query as to the truthfulness of a response to a previous one of the plurality of questions; comparing the oxygenation levels indicated by the measured near-infrared optical energy with a baseline oxygenation level, wherein the baseline oxygenation level is indicative of one of a known truthful response or a known false response; and if the oxygenation levels indicated by the measured near-infrared optical energy differs from the baseline oxygenation level, determining that the subject conducted at least one of deception in response to a question or malingered in response to a question. 6. The method of claim 1 , further comprising determining the subject conducted deception if the oxygenation level indicated by the received near-infrared optical energy is greater than the baseline oxygenation level. | 0.665267 |
1. A computer system, comprising at least one processor coupled to at least one computer-readable storage medium storing instructions executable by the at least one processor to implement: an application component including computer executable functionality; a group component configured to facilitate execution of each of a positional, multi-member, and multi-level group operator specified by the application component, positional group operators being operators for which position within an ordering of one or more elements affects results of the operators, multi-member operators being operators that can cause a specific element to concurrently occupy a plurality of groups, multi-level group operators being operators that can cause a first group to be nested within a second group; and an injector component configured to identify a reference to a group operator in the group component, fetch functionality corresponding to the identified group operator from the group component and inject the functionality into the application component to produce new executable grouping functionality, the injector component being configured to identify, fetch, and inject when the application component is encoded in any of a plurality of program languages. | 1. A computer system, comprising at least one processor coupled to at least one computer-readable storage medium storing instructions executable by the at least one processor to implement: an application component including computer executable functionality; a group component configured to facilitate execution of each of a positional, multi-member, and multi-level group operator specified by the application component, positional group operators being operators for which position within an ordering of one or more elements affects results of the operators, multi-member operators being operators that can cause a specific element to concurrently occupy a plurality of groups, multi-level group operators being operators that can cause a first group to be nested within a second group; and an injector component configured to identify a reference to a group operator in the group component, fetch functionality corresponding to the identified group operator from the group component and inject the functionality into the application component to produce new executable grouping functionality, the injector component being configured to identify, fetch, and inject when the application component is encoded in any of a plurality of program languages. 5. The system of claim 1 , wherein the group operator is executable across an ordered set of data. | 0.627221 |
19. A system comprises: one or more computer systems each computer system including a processor and memory and executing a computer program product tangibly embodied on computer readable storage device, the computer program product comprises instructions for configuring the system to: store a plurality of models in a database, with the models of a type that produce predictions of the likelihood of an event occurring in the future, the models having permission levels that specify the access rights to control access to the models by users; receive a search query to search the database that stores the plurality of models with the models having the permission levels that specify access rights that control access to the models, with search results provided based on search terms included in the user query; send search results to a user system receive a selection of a model from the results; and send a message to the user, the message based on the access rights associated with the model, with the message including at least one option to access the model. | 19. A system comprises: one or more computer systems each computer system including a processor and memory and executing a computer program product tangibly embodied on computer readable storage device, the computer program product comprises instructions for configuring the system to: store a plurality of models in a database, with the models of a type that produce predictions of the likelihood of an event occurring in the future, the models having permission levels that specify the access rights to control access to the models by users; receive a search query to search the database that stores the plurality of models with the models having the permission levels that specify access rights that control access to the models, with search results provided based on search terms included in the user query; send search results to a user system receive a selection of a model from the results; and send a message to the user, the message based on the access rights associated with the model, with the message including at least one option to access the model. 26. The system of claim 19 wherein the computer program product, further configures the system to: generate an interface that renders data that includes statistical predictions from execution of the selected model and a slider bar that allows the user to change parameters of an inference or prediction for a particular day. | 0.5 |
11. A computer program product comprising: a non-transitory computer readable medium; and program code on the non-transitory computer readable medium that when executed within a data processing device within a distributed storage system (DSS), the program code provides the functionality of; identifying a pre-established data storage threshold value for an amount of data that can be stored within the DSS; tracking a current storage usage for an amount of data stored within the DSS; determining whether the current storage usage exceeds the pre-established data storage threshold value; in response to determining that the current storage usage exceeds the pre-established data storage threshold value, calculating a target number of documents that can be deleted from the DSS based on an amount by which the current storage usage exceeds the pre-established data storage threshold value, wherein the current storage usage is proportional to a number of stored documents in the DSS, wherein the stored documents have a same document type; determining a data characteristic parameter that can be used to identify parameter values of the stored documents, which parameter values enable the stored documents to be assigned into a plurality of groups which include a set of document categories, wherein the groups are ordered based on a relative index associated with corresponding parameter values, wherein all of the stored documents assigned to at least one of the plurality of groups can be deleted, based on an order associated with the relative index of the document categories, in order to provide the target number of documents that can be deleted; assigning stored documents to the plurality of groups using corresponding parameter values; and deleting all of the stored documents assigned to at least one of the plurality of groups in order to remove the target number of stored documents. | 11. A computer program product comprising: a non-transitory computer readable medium; and program code on the non-transitory computer readable medium that when executed within a data processing device within a distributed storage system (DSS), the program code provides the functionality of; identifying a pre-established data storage threshold value for an amount of data that can be stored within the DSS; tracking a current storage usage for an amount of data stored within the DSS; determining whether the current storage usage exceeds the pre-established data storage threshold value; in response to determining that the current storage usage exceeds the pre-established data storage threshold value, calculating a target number of documents that can be deleted from the DSS based on an amount by which the current storage usage exceeds the pre-established data storage threshold value, wherein the current storage usage is proportional to a number of stored documents in the DSS, wherein the stored documents have a same document type; determining a data characteristic parameter that can be used to identify parameter values of the stored documents, which parameter values enable the stored documents to be assigned into a plurality of groups which include a set of document categories, wherein the groups are ordered based on a relative index associated with corresponding parameter values, wherein all of the stored documents assigned to at least one of the plurality of groups can be deleted, based on an order associated with the relative index of the document categories, in order to provide the target number of documents that can be deleted; assigning stored documents to the plurality of groups using corresponding parameter values; and deleting all of the stored documents assigned to at least one of the plurality of groups in order to remove the target number of stored documents. 19. The computer program product of claim 11 , wherein the program code further comprises program code for: dividing the target document category into multiple associated sub-categories respectively associated with different ranges of corresponding data characteristic parameter values, wherein the multiple associated sub-categories are next-level categories derived from a corresponding target document category; assigning stored documents from the target document category into the multiple sub-categories, according to respective data characteristic parameter values; determining a maximum number of document sub-categories for which all corresponding stored documents can be deleted without causing a total overall deletion to exceed the target number of stored documents that can be deleted; and deleting all of the stored documents corresponding to the maximum number of document sub-categories corresponding to stored documents that can be deleted. | 0.5605 |
1. A system for validating a translation memory against a terminology dictionary, wherein said terminology dictionary comprises source terms and corresponding target terms, wherein a target term is a translation of a source term found in said terminology dictionary, wherein said translation memory comprises source segments and corresponding target segments, wherein said source segments are a combination of source terms plus additional words, wherein target segments are translations of source segments, and wherein said system comprises: a rule match hardware engine for identifying, for each source term, occurrences of a particular source term within source segments, wherein a context of each of the occurrences is determined according to grammar rules; a fuzzy match hardware engine for calculating, for each identified source term occurrence in a source segment, a closeness score between said each identified source term occurrence and a corresponding occurrence of a corresponding target term in a target segment; a report generator for reporting each identified occurrence of a source term in a source segment, and a closeness score, for said each identified source term occurrence, between said each identified source term occurrence and a corresponding target term in a target segment; and one or more processors, wherein said one or more processors predict whether an expected target term corresponding to a particular source term is in the target segment based on: a percentage of characters common to sub strings in the target term and the target segment exceeding a common character minimum percentage, wherein a common sub string is a same set of characters used in the target term and the target segment; a quantity of chunks from the target term found in the target segment being below a maximum chunk number, wherein a chunk is a portion of the target term, wherein portions of the target term are separated by non-target term words in the target segment to form one or more chunks; and a quantity of characters in any common chunk between the target term and the target segment being above a chunk length minimum; and a rendering hardware engine for rendering a style sheet, wherein the style sheet provides a visual tool to allow visual identification of problematic areas by providing side by side comparison of source segments and target segments that both contain a same highlighted dictionary term. | 1. A system for validating a translation memory against a terminology dictionary, wherein said terminology dictionary comprises source terms and corresponding target terms, wherein a target term is a translation of a source term found in said terminology dictionary, wherein said translation memory comprises source segments and corresponding target segments, wherein said source segments are a combination of source terms plus additional words, wherein target segments are translations of source segments, and wherein said system comprises: a rule match hardware engine for identifying, for each source term, occurrences of a particular source term within source segments, wherein a context of each of the occurrences is determined according to grammar rules; a fuzzy match hardware engine for calculating, for each identified source term occurrence in a source segment, a closeness score between said each identified source term occurrence and a corresponding occurrence of a corresponding target term in a target segment; a report generator for reporting each identified occurrence of a source term in a source segment, and a closeness score, for said each identified source term occurrence, between said each identified source term occurrence and a corresponding target term in a target segment; and one or more processors, wherein said one or more processors predict whether an expected target term corresponding to a particular source term is in the target segment based on: a percentage of characters common to sub strings in the target term and the target segment exceeding a common character minimum percentage, wherein a common sub string is a same set of characters used in the target term and the target segment; a quantity of chunks from the target term found in the target segment being below a maximum chunk number, wherein a chunk is a portion of the target term, wherein portions of the target term are separated by non-target term words in the target segment to form one or more chunks; and a quantity of characters in any common chunk between the target term and the target segment being above a chunk length minimum; and a rendering hardware engine for rendering a style sheet, wherein the style sheet provides a visual tool to allow visual identification of problematic areas by providing side by side comparison of source segments and target segments that both contain a same highlighted dictionary term. 5. The system according to claim 1 , further comprising: a calculation hardware logic for calculating an overall closeness score between the translation memory and the terminology dictionary using individual closeness scores. | 0.535191 |
11. The system of claim 1 , wherein the luminaire further comprises a processor that executes the interpreter module and is coupled to provide the operating parameters to the drive circuit to thereby control time variation of the relative intensities of the light output from the light channels. | 11. The system of claim 1 , wherein the luminaire further comprises a processor that executes the interpreter module and is coupled to provide the operating parameters to the drive circuit to thereby control time variation of the relative intensities of the light output from the light channels. 13. The system of claim 11 , wherein the luminaire further comprises memory storing calibration data, wherein the processor executes a module that uses the calibration data and the script to produce the operating parameters, which are specific to the luminaire. | 0.763476 |
1. A computer-implemented method comprising: identifying, using one or more processors, a creative for processing, the creative including a title portion, a body portion and optionally a reference portion, wherein the title portion constitutes a first line of text, and the body portion includes second and third lines of text; evaluating the body portion including determining when the body portion includes one or more words that can be added to the title portion, wherein evaluating the body portion includes evaluating either or both of the second and the third line of text to identify the one or more words; promoting, using the one or more processors, the one or more words into the title portion; and providing the creative including the title portion with the promoted one or more words. | 1. A computer-implemented method comprising: identifying, using one or more processors, a creative for processing, the creative including a title portion, a body portion and optionally a reference portion, wherein the title portion constitutes a first line of text, and the body portion includes second and third lines of text; evaluating the body portion including determining when the body portion includes one or more words that can be added to the title portion, wherein evaluating the body portion includes evaluating either or both of the second and the third line of text to identify the one or more words; promoting, using the one or more processors, the one or more words into the title portion; and providing the creative including the title portion with the promoted one or more words. 24. The method of claim 1 further comprising determining when promotion should occur including evaluating one or more metrics associated with the creative or delivery of the creative. | 0.640127 |
17. The method of claim 12 further comprising selectively altering the recognizing in response to detecting the initial portion of the user speech input signal. | 17. The method of claim 12 further comprising selectively altering the recognizing in response to detecting the initial portion of the user speech input signal. 18. The method of claim 17 wherein selectively altering the recognizing includes providing echo cancelling. | 0.932288 |
2. The method of claim 1 further comprising detecting the hand by: segmenting the depth data and the classified human body into a human shape; and detecting the hand based upon depth data of the hand relative to depth data of the human shape. | 2. The method of claim 1 further comprising detecting the hand by: segmenting the depth data and the classified human body into a human shape; and detecting the hand based upon depth data of the hand relative to depth data of the human shape. 3. The method of claim 2 wherein detecting the hand comprises refining an object that includes an arm portion and a hand portion to remove the arm portion. | 0.91259 |
1. A computer-implemented method for determining an impact on a simulation model in a modeling environment comprising a plurality of simulation models, said method including: acquiring, by a computer, performance data relating to said plurality of simulation models within a timeframe parameter and a presentation parameter, wherein said performance data includes dependency data and a simulation model score, wherein said plurality of simulation models simulate at least one of outcomes, effectiveness, penetration, utilization, or distribution of marketing strategies based upon at least one of historic, current or probability data of said marketing strategies; analyzing, by said computer, said dependency data relating to said simulation model, having a model identifier; determining, by said computer, individual variables within a first subset of said plurality of simulation models impacted by said dependency data, wherein said dependency data includes bidirectional pointers in a tree of said plurality of simulation models, said plurality of simulation models represented by nodes on said tree, and said dependency data provides interdependencies among said plurality of simulation models, wherein said variables are across said plurality of simulation models, wherein said dependency data depends upon and includes records having an identifier that is based upon said model identifier and that depend at least one of directly or indirectly from said simulation model, and wherein said dependency data relates to a transfer of information exchanged between said simulation model and at least one of said first subset of said plurality of simulation models or a second subset of said plurality of simulation models, wherein said information includes accuracy of said information, an amount of said information, a transfer rate of said information, and a processing rate of said information; analyzing, by said computer, said dependency data relating to said first subset of said plurality of simulation models; determining, by said computer, individual of said variables within said second subset of said plurality of simulation models impacted by said dependency data, wherein said second subset of said plurality of simulation models is dependent upon said first subset of said plurality of simulation models; determining, by said computer, an impact on said first subset of said plurality of simulation models, and said second subset of said plurality of simulation models in response to said analysis of said dependency data; modifying, by said computer, said simulation model score based on said dependency data to create a modified simulation model score; and at least one of: modifying said simulation model or decommissioning said simulation model based on said modified simulation model score. | 1. A computer-implemented method for determining an impact on a simulation model in a modeling environment comprising a plurality of simulation models, said method including: acquiring, by a computer, performance data relating to said plurality of simulation models within a timeframe parameter and a presentation parameter, wherein said performance data includes dependency data and a simulation model score, wherein said plurality of simulation models simulate at least one of outcomes, effectiveness, penetration, utilization, or distribution of marketing strategies based upon at least one of historic, current or probability data of said marketing strategies; analyzing, by said computer, said dependency data relating to said simulation model, having a model identifier; determining, by said computer, individual variables within a first subset of said plurality of simulation models impacted by said dependency data, wherein said dependency data includes bidirectional pointers in a tree of said plurality of simulation models, said plurality of simulation models represented by nodes on said tree, and said dependency data provides interdependencies among said plurality of simulation models, wherein said variables are across said plurality of simulation models, wherein said dependency data depends upon and includes records having an identifier that is based upon said model identifier and that depend at least one of directly or indirectly from said simulation model, and wherein said dependency data relates to a transfer of information exchanged between said simulation model and at least one of said first subset of said plurality of simulation models or a second subset of said plurality of simulation models, wherein said information includes accuracy of said information, an amount of said information, a transfer rate of said information, and a processing rate of said information; analyzing, by said computer, said dependency data relating to said first subset of said plurality of simulation models; determining, by said computer, individual of said variables within said second subset of said plurality of simulation models impacted by said dependency data, wherein said second subset of said plurality of simulation models is dependent upon said first subset of said plurality of simulation models; determining, by said computer, an impact on said first subset of said plurality of simulation models, and said second subset of said plurality of simulation models in response to said analysis of said dependency data; modifying, by said computer, said simulation model score based on said dependency data to create a modified simulation model score; and at least one of: modifying said simulation model or decommissioning said simulation model based on said modified simulation model score. 21. The method of claim 1 , further including receiving, by said computer, one or more selection parameters and a presentation parameter, wherein the one or more selection parameters are used to query a model database and retrieve model data. | 0.526578 |
13. A computing device comprising: at least one processor; and a memory in communication with the at least one processor, the memory being configured to store a similarity manager module, a text manager module, and a search engine module that are executable by the at least one processor, the similarity manager module having instructions that when executed by the at least one processor, cause operations to be performed, the operations comprising: accessing a first document; and identifying one or more terms from a metamodel semantic network, the text analyzer module having instructions that when executed by the at least one processor, cause operations to be performed, the operations comprising: identifying one or more terms from the metamodel semantic network that are also found in the first document, wherein the identification of the one or more terms from the metamodel semantic network comprises: identifying a user that created the first document; retrieving context information associated with the user; identifying business functional data associated with the context information; identifying, from a number of domains, the domain associated with the business functional data, each domain from the number of domains including a different grouping of terms; and selecting terms that are associated with the identified domain for the analysis; and identifying a weighted frequency of occurrence in the first document for each of the one or more identified terms, each weighted frequency of occurrence being a count of occurrences of the corresponding term in the first document multiplied by a weight based on a length of the first document, and the search engine module having instructions that when executed by the at least one processor, cause operations to be performed, the operations comprising searching for another document having one or more weighted frequencies of occurrences that are within a predefined range of a corresponding weighted frequency of occurrence of the corresponding term in the first document, the other document having been previously analyzed using terms from the metamodel semantic network. | 13. A computing device comprising: at least one processor; and a memory in communication with the at least one processor, the memory being configured to store a similarity manager module, a text manager module, and a search engine module that are executable by the at least one processor, the similarity manager module having instructions that when executed by the at least one processor, cause operations to be performed, the operations comprising: accessing a first document; and identifying one or more terms from a metamodel semantic network, the text analyzer module having instructions that when executed by the at least one processor, cause operations to be performed, the operations comprising: identifying one or more terms from the metamodel semantic network that are also found in the first document, wherein the identification of the one or more terms from the metamodel semantic network comprises: identifying a user that created the first document; retrieving context information associated with the user; identifying business functional data associated with the context information; identifying, from a number of domains, the domain associated with the business functional data, each domain from the number of domains including a different grouping of terms; and selecting terms that are associated with the identified domain for the analysis; and identifying a weighted frequency of occurrence in the first document for each of the one or more identified terms, each weighted frequency of occurrence being a count of occurrences of the corresponding term in the first document multiplied by a weight based on a length of the first document, and the search engine module having instructions that when executed by the at least one processor, cause operations to be performed, the operations comprising searching for another document having one or more weighted frequencies of occurrences that are within a predefined range of a corresponding weighted frequency of occurrence of the corresponding term in the first document, the other document having been previously analyzed using terms from the metamodel semantic network. 14. The computing device of claim 13 , wherein the operation of searching for the other document comprises searching for a number of the weighted frequencies of occurrences that fall within a predefined range of the one or more identified weighted frequencies of occurrence. | 0.5 |
1. Apparatus for generating at least one abstract that is useful during information searching and retrieval procedures, comprising: 1. means for sensing information comprising individual words in a selected language, each word comprising one or more individual characters; 2. means for categorizing selected ones only of the characters in said words into predefined character groups that are based on a probability distribution of characters in the language selected; 3. means maintaining a count of the number of characters categorized into each of said predefined character groups; and 4. means for storing said count as an abstract of said information. | 1. Apparatus for generating at least one abstract that is useful during information searching and retrieval procedures, comprising: 1. means for sensing information comprising individual words in a selected language, each word comprising one or more individual characters; 2. means for categorizing selected ones only of the characters in said words into predefined character groups that are based on a probability distribution of characters in the language selected; 3. means maintaining a count of the number of characters categorized into each of said predefined character groups; and 4. means for storing said count as an abstract of said information. 5. The apparatus of claim 1 wherein said words of information are stored in storage areas in groups designated index groups, each index group normally occupying a predetermined area of storage but occasionally exceeding said predetermined area, and further comprising: 5. means for determining when an index group exceeds said predetermined area of storage; and 6. means for recording an area skip code for areas storing the excess of information in any index group. | 0.750554 |
8. The method of claim 6 wherein the plurality of content items are separated into multiple comment groups each corresponding to one of multiple attributes for a category of information, and wherein the multiple selected factors include at least one of a group of factors including a total quantity of supplied content items for each of at least one of the multiple comment groups, an aggregate sentiment of supplied content items for each of at least one of the multiple comment groups, and a rate of change in total quantity of content items supplied between two or more time periods for each of at least one of the multiple comment groups. | 8. The method of claim 6 wherein the plurality of content items are separated into multiple comment groups each corresponding to one of multiple attributes for a category of information, and wherein the multiple selected factors include at least one of a group of factors including a total quantity of supplied content items for each of at least one of the multiple comment groups, an aggregate sentiment of supplied content items for each of at least one of the multiple comment groups, and a rate of change in total quantity of content items supplied between two or more time periods for each of at least one of the multiple comment groups. 18. The method of claim 8 wherein the multiple attributes include multiple distinct geographical locations from which content items are supplied. | 0.943033 |
13. The method of claim 12 , further comprising: providing a user with a personal estimated interpretation time along with a numerical measure for said examination complexity. | 13. The method of claim 12 , further comprising: providing a user with a personal estimated interpretation time along with a numerical measure for said examination complexity. 14. The method of claim 13 , further comprising: providing a pacer alert to said user to inform said user when said estimated interpretation time has elapsed. | 0.89548 |
1. Publication system apparatus for coordinating access to a publication item that is stored in said publication system, comprising: means for storing data that comprises a publication item, including at least one of article text, image data and layout data, comprising; means for storing publication item file name data for identifying said publication item data; and means for storing publication item file name data for identifying said publication item data; and means for storing user identification data for identifying primary users that are authorized to access and modify said publication item data; means for storing publication status data that defines control attributes of said publication item data; and means for coordinating separate simultaneous access to each of said publication item data and said publication status data among a plurality of users wherein at least two of said plurality of users simultaneously access said article text, image data and layout data of a publication item, comprising: means for storing a plurality of the following: publication identification data indicative of a name of a publication, user access data that defines the identity of all users having access to said publication item data, publication item location path data identifying a storage area in a memory of said publication system where said publication item data is stored, header location data that defines the location of an item header within a file related to said publication data, item header data that is a copy of a header contained in said publication item, file header format data that defines a format of said item header record of said publication item, and a watch record that defines at least one predetermined activity relating to said publication data. | 1. Publication system apparatus for coordinating access to a publication item that is stored in said publication system, comprising: means for storing data that comprises a publication item, including at least one of article text, image data and layout data, comprising; means for storing publication item file name data for identifying said publication item data; and means for storing publication item file name data for identifying said publication item data; and means for storing user identification data for identifying primary users that are authorized to access and modify said publication item data; means for storing publication status data that defines control attributes of said publication item data; and means for coordinating separate simultaneous access to each of said publication item data and said publication status data among a plurality of users wherein at least two of said plurality of users simultaneously access said article text, image data and layout data of a publication item, comprising: means for storing a plurality of the following: publication identification data indicative of a name of a publication, user access data that defines the identity of all users having access to said publication item data, publication item location path data identifying a storage area in a memory of said publication system where said publication item data is stored, header location data that defines the location of an item header within a file related to said publication data, item header data that is a copy of a header contained in said publication item, file header format data that defines a format of said item header record of said publication item, and a watch record that defines at least one predetermined activity relating to said publication data. 3. The apparatus of claim 1, wherein said publication system comprises a plurality of user workstations, said means for coordinating comprises: file server means for storing a plurality of publication item data; publication access controller, each of said plurality of user workstations being able to directly access said publication access controller for obtaining publication status data of said publication item data but not being able to directly access said file server means to obtain access to said publication item data, unless said publication access controller first grants access to said file sever means for obtaining said publication item data. | 0.54723 |
1. A computer-implemented method of generating a dynamic corpus, the method comprising: (a) generating a plurality (n) of web threads, based upon a corresponding plurality of sets of words dequeued from a word queue of size m words, to obtain web thread resulting URLs, the web thread resulting URLs being returned by search engines in response to receiving the plurality of sets of words as search requests, the web thread resulting URLs corresponding to websites having text that includes the plurality of sets of words; (b) enqueueing the web thread resulting URLs in a URL queue of size o words; (c) generating a plurality (p) of text extraction threads, based upon documents downloaded using URLs dequeued from the URL queue, to obtain text files, the text files providing the dynamic corpus; (d) randomly obtaining new words from the text files; (e) enqueueing the randomly obtained words in the word queue; (f) iteratively repeating the steps (a), (b), (c), (d) and (e) to obtain the dynamic corpus having a predefined size of x first text files, wherein repeating the step (a) includes utilizing the randomly obtained words as additional search requests and receiving additional thread resulting URLs from the search engines in response to the additional search requests, the additional thread resulting URLs corresponding to websites having text that includes the randomly obtained words; (g) adjusting variables n, m, o, p based on a time required to obtain the dynamic corpus with x first text files and based on a predefined refresh rate that specifies an amount of time within which a user desires the dynamic corpus to obtain x new text files so the x first text files are replaced within the dynamic corpus with the x new text files within the amount of time specified by the refresh rate; and iteratively repeating steps (a), (b), (c), (d), (e), (f) and (g). | 1. A computer-implemented method of generating a dynamic corpus, the method comprising: (a) generating a plurality (n) of web threads, based upon a corresponding plurality of sets of words dequeued from a word queue of size m words, to obtain web thread resulting URLs, the web thread resulting URLs being returned by search engines in response to receiving the plurality of sets of words as search requests, the web thread resulting URLs corresponding to websites having text that includes the plurality of sets of words; (b) enqueueing the web thread resulting URLs in a URL queue of size o words; (c) generating a plurality (p) of text extraction threads, based upon documents downloaded using URLs dequeued from the URL queue, to obtain text files, the text files providing the dynamic corpus; (d) randomly obtaining new words from the text files; (e) enqueueing the randomly obtained words in the word queue; (f) iteratively repeating the steps (a), (b), (c), (d) and (e) to obtain the dynamic corpus having a predefined size of x first text files, wherein repeating the step (a) includes utilizing the randomly obtained words as additional search requests and receiving additional thread resulting URLs from the search engines in response to the additional search requests, the additional thread resulting URLs corresponding to websites having text that includes the randomly obtained words; (g) adjusting variables n, m, o, p based on a time required to obtain the dynamic corpus with x first text files and based on a predefined refresh rate that specifies an amount of time within which a user desires the dynamic corpus to obtain x new text files so the x first text files are replaced within the dynamic corpus with the x new text files within the amount of time specified by the refresh rate; and iteratively repeating steps (a), (b), (c), (d), (e), (f) and (g). 6. The method of claim 1 , wherein step (c) of generating the plurality of text extraction threads, based upon documents downloaded using URLs dequeued from the URL queue, to obtain text files further comprises filtering downloaded documents using a language autodetect filter to ensure that a language of the document is a desired language. | 0.530474 |
1. A system comprising: a data processing apparatus; and a non-transitory computer storage medium encoded with a computer program, the program comprising data processing apparatus instructions executable by the data processing apparatus and that upon such execution cause the data processing apparatus to perform operations comprising: in response to an image insertion request specifying a request to insert image search results referencing images that are responsive to a search query into a list of general search results: determining an insertion score that defines an ordinal insertion position at which an image display environment in which the image search results are to be displayed is to be inserted into a ranking of the general search results that defines ordinal positions for each of the general search results, the insertion score determined, in part, from quality scores of the images; generating a search results resource for displaying the general search results according to respective ordinal positions and the image display environment at an ordinal insertion position within the respective ordinal positions on a client device; and providing the search results resource in response to the search query; wherein each of the image search results is a generated from a search of an image corpus, and each general search result is generated from a search of a resource corpus that is different from the image corpus. | 1. A system comprising: a data processing apparatus; and a non-transitory computer storage medium encoded with a computer program, the program comprising data processing apparatus instructions executable by the data processing apparatus and that upon such execution cause the data processing apparatus to perform operations comprising: in response to an image insertion request specifying a request to insert image search results referencing images that are responsive to a search query into a list of general search results: determining an insertion score that defines an ordinal insertion position at which an image display environment in which the image search results are to be displayed is to be inserted into a ranking of the general search results that defines ordinal positions for each of the general search results, the insertion score determined, in part, from quality scores of the images; generating a search results resource for displaying the general search results according to respective ordinal positions and the image display environment at an ordinal insertion position within the respective ordinal positions on a client device; and providing the search results resource in response to the search query; wherein each of the image search results is a generated from a search of an image corpus, and each general search result is generated from a search of a resource corpus that is different from the image corpus. 9. The system of claim 1 , wherein determining an insertion score further comprises: determining a clustering score that measures a clustering characteristic of images that are responsive to the search query; determining an image intent score for the search query; determining a query length score that is proportional to a number of query terms in the search query; and determining the insertion score from the image intent score, the clustering score, and the query length score. | 0.5 |
1. A method for pruning partitions based on aggregated zone map information comprising: receiving a query statement comprising a filter predicate on a column of a first database table; and pruning a particular table partition of a second database table from access paths for processing the query statement based on determining, based on aggregated zone map information associated with the particular table partition, that the query statement cannot be satisfied by data stored in the particular table partition, the aggregated zone map information comprising an aggregated minimum value for the column and an aggregated maximum value for the column, the aggregated minimum value being a smallest minimum value for the column among a plurality of minimum values for the column, the aggregated maximum value being a greatest maximum value for the column among a plurality of maximum values for the column, the plurality of minimum values for the column and the plurality of maximum values for the column associated with the column by a zone map on the second database table, the plurality of minimum values for the column and the plurality of maximum values for the column associated with a plurality of zones by the zone map, the plurality of zones comprising the data stored in the particular table partition. | 1. A method for pruning partitions based on aggregated zone map information comprising: receiving a query statement comprising a filter predicate on a column of a first database table; and pruning a particular table partition of a second database table from access paths for processing the query statement based on determining, based on aggregated zone map information associated with the particular table partition, that the query statement cannot be satisfied by data stored in the particular table partition, the aggregated zone map information comprising an aggregated minimum value for the column and an aggregated maximum value for the column, the aggregated minimum value being a smallest minimum value for the column among a plurality of minimum values for the column, the aggregated maximum value being a greatest maximum value for the column among a plurality of maximum values for the column, the plurality of minimum values for the column and the plurality of maximum values for the column associated with the column by a zone map on the second database table, the plurality of minimum values for the column and the plurality of maximum values for the column associated with a plurality of zones by the zone map, the plurality of zones comprising the data stored in the particular table partition. 7. The method of claim 1 , wherein the filter predicate is a first filter predicate; wherein the query statement comprises a second filter predicate on a second column of the second database table; wherein values in the second column in the particular table partition are indexed in a particular index partition associated with the particular table partition, the method further comprising: pruning the particular index partition from access paths for processing the query statement based on determining, based on the aggregated zone map information associated with the particular table partition, that the query statement cannot be satisfied by data stored in the particular table partition. | 0.554413 |
9. A method comprising: displaying a keypad for text input, the keypad including a plurality of keys, receiving input indicating a selection of a key from the plurality of keys, the key representing a consonant, receiving a gesture input, wherein the gesture input is associated with one gesture of a set of gestures, each gesture in the set being semantically linked to a tone, and wherein the set of gestures comprises: a substantially horizontal movement associated with a first tone, a movement both horizontal and vertical in a first direction associated with a second tone, a movement both horizontal and vertical in a second direction, then a movement both horizontal and vertical in a third direction associated with a third tone, and a movement both horizontal and vertical in a fourth direction associated with a fourth tone, and displaying a grapheme based upon the selected key and the tone associated with the received gesture, wherein the grapheme is a modified version of a word associated with the selected key and the grapheme is predicted based on only the consonant and the tone associated with the received gesture. | 9. A method comprising: displaying a keypad for text input, the keypad including a plurality of keys, receiving input indicating a selection of a key from the plurality of keys, the key representing a consonant, receiving a gesture input, wherein the gesture input is associated with one gesture of a set of gestures, each gesture in the set being semantically linked to a tone, and wherein the set of gestures comprises: a substantially horizontal movement associated with a first tone, a movement both horizontal and vertical in a first direction associated with a second tone, a movement both horizontal and vertical in a second direction, then a movement both horizontal and vertical in a third direction associated with a third tone, and a movement both horizontal and vertical in a fourth direction associated with a fourth tone, and displaying a grapheme based upon the selected key and the tone associated with the received gesture, wherein the grapheme is a modified version of a word associated with the selected key and the grapheme is predicted based on only the consonant and the tone associated with the received gesture. 13. The method of claim 9 , wherein the first tone is Yin Ping, the second tone is Yang Ping, the third tone is Shang, and the fourth tone is Qu. | 0.657499 |
6. The computing device of claim 5 , wherein to merge the previous token and the next token comprises the merger circuitry to: determine whether an end offset of the next token is greater than or equal to an end offset of the previous token; read a next token from the plurality of token streams in response to a determination that the end offset of the next token is not greater than or equal to the end offset of the previous token; and merge the previous token and the next token in response to a determination that the end offset of the next token is greater than or equal to the end offset of the previous token. | 6. The computing device of claim 5 , wherein to merge the previous token and the next token comprises the merger circuitry to: determine whether an end offset of the next token is greater than or equal to an end offset of the previous token; read a next token from the plurality of token streams in response to a determination that the end offset of the next token is not greater than or equal to the end offset of the previous token; and merge the previous token and the next token in response to a determination that the end offset of the next token is greater than or equal to the end offset of the previous token. 7. The computing device of claim 6 , wherein to merge the previous token and the next token further comprises the merger circuitry to: determine whether the end offset of the next token equals the end offset of the previous token; and drop the next token in response to a determination that the end offset of the next token equals the end offset of the previous token. | 0.801124 |
11. The system of claim 10 , wherein the stability probability is determined using a machine learning algorithm on a corpus of speech utterances. | 11. The system of claim 10 , wherein the stability probability is determined using a machine learning algorithm on a corpus of speech utterances. 12. The system of claim 11 , wherein the machine learning algorithm is a logistic regression. | 0.938462 |
12. A handheld electronic device comprising an input apparatus, a processor apparatus, and an output apparatus, the input apparatus comprising a number of input members, at least some of the input members having a number of linguistic elements assigned thereto, at least some of the input members each having as the number of the linguistic elements assigned thereto a plurality of the linguistic elements, the processor apparatus comprising a processor and a memory having stored therein a plurality of objects comprising a plurality of language objects, at least some of the language objects each comprising a number of the linguistic elements, the output apparatus comprising a display, the memory having stored therein a number of routines which, when executed by the processor, cause the handheld electronic device to be adapted to perform operations comprising: receiving on the handheld electronic device data including one or more language objects; identifying, from among the one or more language objects, one or more proper language objects that have an upper case character as a first character; determining that one or more of the identified proper language objects includes the same characters as one of the plurality of language objects stored in the memory, wherein the plurality of language objects stored in the memory include a non-upper case character as the first character; and storing the identified one or more proper language objects in the memory. | 12. A handheld electronic device comprising an input apparatus, a processor apparatus, and an output apparatus, the input apparatus comprising a number of input members, at least some of the input members having a number of linguistic elements assigned thereto, at least some of the input members each having as the number of the linguistic elements assigned thereto a plurality of the linguistic elements, the processor apparatus comprising a processor and a memory having stored therein a plurality of objects comprising a plurality of language objects, at least some of the language objects each comprising a number of the linguistic elements, the output apparatus comprising a display, the memory having stored therein a number of routines which, when executed by the processor, cause the handheld electronic device to be adapted to perform operations comprising: receiving on the handheld electronic device data including one or more language objects; identifying, from among the one or more language objects, one or more proper language objects that have an upper case character as a first character; determining that one or more of the identified proper language objects includes the same characters as one of the plurality of language objects stored in the memory, wherein the plurality of language objects stored in the memory include a non-upper case character as the first character; and storing the identified one or more proper language objects in the memory. 14. The handheld electronic device of claim 12 wherein the operations further comprise: identifying as a proper language object a language object having an initial portion that corresponds with a code designation within a predetermined range of code designations. | 0.581225 |
19. A computer program product for providing access to a knowledge base, the computer program product comprising computer program instructions stored in one or more non-transitory computer-readable media, the computer program instructions being configured when executed to cause a computing device to: receive a natural language question as input; transmit the natural language question to the knowledge base for translation to an internal query that represents an interpretation of the natural language question and has an internal format compatible with structured data of the knowledge base, the structured data representing first knowledge; and present a definitive natural language answer responsive to the natural language question received from the knowledge base and including second knowledge derived from the first knowledge in response to the internal query, the second knowledge not having been stored in the knowledge base prior to transmission of the natural language question to the knowledge base. | 19. A computer program product for providing access to a knowledge base, the computer program product comprising computer program instructions stored in one or more non-transitory computer-readable media, the computer program instructions being configured when executed to cause a computing device to: receive a natural language question as input; transmit the natural language question to the knowledge base for translation to an internal query that represents an interpretation of the natural language question and has an internal format compatible with structured data of the knowledge base, the structured data representing first knowledge; and present a definitive natural language answer responsive to the natural language question received from the knowledge base and including second knowledge derived from the first knowledge in response to the internal query, the second knowledge not having been stored in the knowledge base prior to transmission of the natural language question to the knowledge base. 21. The computer program product of claim 19 wherein the computer program instructions are further configured when executed to cause the computing device to present representations of one or more query interpretations corresponding to the natural language question. | 0.571818 |
2. The computer-implemented method of claim 1 , further comprising determining, by the computer, whether the user is authorized to annotate the digital video. | 2. The computer-implemented method of claim 1 , further comprising determining, by the computer, whether the user is authorized to annotate the digital video. 5. The computer-implemented method of claim 2 , wherein determining, by the computer, whether the user is authorized to annotate the digital video comprises monitoring actions of a contributor of the digital video with respect to the user. | 0.943262 |
4. A method as described in claim 1 , wherein the indicating of correspondence includes changing a visual characteristic of the second portion of the second document to differentiate the second portion of the second document from one or more other portions of the second document. | 4. A method as described in claim 1 , wherein the indicating of correspondence includes changing a visual characteristic of the second portion of the second document to differentiate the second portion of the second document from one or more other portions of the second document. 5. A method as described in claim 4 , wherein the changing does not include altering a visual characteristic of the first document. | 0.95082 |
16. One or more computer-readable media storing computer-executable instructions that, when executed by a computing device, cause the computing device to: correlate a first set of values with characters of a word, each value of the first set of values being a different value and being associated with a single character of the characters; display modification options for a particular character of the word in response to a selection of a value of the first set of values that corresponds to the particular character, each of the modification options being associated with a value of a second set of values and including a character modification that can modify the particular character in response to a selection of a respective value of the second set of values; receive an indication of a selection of a particular value of the second set of values; and modify the particular character based on one of the modification options that corresponds to the particular value. | 16. One or more computer-readable media storing computer-executable instructions that, when executed by a computing device, cause the computing device to: correlate a first set of values with characters of a word, each value of the first set of values being a different value and being associated with a single character of the characters; display modification options for a particular character of the word in response to a selection of a value of the first set of values that corresponds to the particular character, each of the modification options being associated with a value of a second set of values and including a character modification that can modify the particular character in response to a selection of a respective value of the second set of values; receive an indication of a selection of a particular value of the second set of values; and modify the particular character based on one of the modification options that corresponds to the particular value. 17. The one or more computer-readable media of claim 16 , wherein one or more of the first set of values comprise numerical values. | 0.576846 |
1. An electronic book, comprising: a screen for displaying an electronic book content; at least one first component with at least one underlying link, wherein, upon selection of the at least one first component, the at least one first component links to at least an Internet web site for providing a plurality of streaming video, audio and text data when connected to the electronic book, wherein location information for each of the plurality of streaming video, audio and text data is provided in at least one hidden links table and the at least one hidden links table is provided in conjunction with downloading the content of the electronic book from a remote provider, and each of the at least one hidden links table is associated with the at least one first component with the at least one underlying link, and wherein the location information provides access to the plurality of streaming video, audio and text data, and wherein the at least one first component is a part of a content of the electronic book; and a control function wherein the control function allows selection of one or more of the plurality of streaming video, audio and text data while displaying the content of the electronic book, and wherein the selected data is displayed on the screen of the electronic book, wherein the hidden links table is updatable from a most current links table using information transmitted via the Internet web site from the remote provider, wherein the most current links table is downloaded to the electronic book either periodically by the remote provider, or when a new electronic book content is downloaded to the electronic book by the remote provider, and wherein the control function includes an on-screen show links button, upon selection of which a link menu is displayed on the screen of the electronic book along with the content of the electronic book, wherein the link menu shows all of the first components with the underlying links contained in the content of the electronic book displayed on the screen of the electronic book, and shows linked materials including a number of links, link numbers and descriptions of the linked materials that each of the first components with the underlying links is able to be linked to, such that, by choosing one of the links, a user is able to link to one of the linked materials. | 1. An electronic book, comprising: a screen for displaying an electronic book content; at least one first component with at least one underlying link, wherein, upon selection of the at least one first component, the at least one first component links to at least an Internet web site for providing a plurality of streaming video, audio and text data when connected to the electronic book, wherein location information for each of the plurality of streaming video, audio and text data is provided in at least one hidden links table and the at least one hidden links table is provided in conjunction with downloading the content of the electronic book from a remote provider, and each of the at least one hidden links table is associated with the at least one first component with the at least one underlying link, and wherein the location information provides access to the plurality of streaming video, audio and text data, and wherein the at least one first component is a part of a content of the electronic book; and a control function wherein the control function allows selection of one or more of the plurality of streaming video, audio and text data while displaying the content of the electronic book, and wherein the selected data is displayed on the screen of the electronic book, wherein the hidden links table is updatable from a most current links table using information transmitted via the Internet web site from the remote provider, wherein the most current links table is downloaded to the electronic book either periodically by the remote provider, or when a new electronic book content is downloaded to the electronic book by the remote provider, and wherein the control function includes an on-screen show links button, upon selection of which a link menu is displayed on the screen of the electronic book along with the content of the electronic book, wherein the link menu shows all of the first components with the underlying links contained in the content of the electronic book displayed on the screen of the electronic book, and shows linked materials including a number of links, link numbers and descriptions of the linked materials that each of the first components with the underlying links is able to be linked to, such that, by choosing one of the links, a user is able to link to one of the linked materials. 20. The electronic book of claim 1 , wherein the hidden links table is updated periodically. | 0.554747 |
12. A computer system for determining whether a claim has merit to warrant claim recovery comprising: a computer implemented means for describing a set of documents containing terms and phrases having contextual bases; a means for transforming the terms and phrases; a computer implemented means for iterating a classification process to determine rules that best classify the set of documents based upon context; a computer implemented means for incorporating the rules into an induction and knowledge representation; a thesauri taxonomy and a text summarization to classify claims; a computer implemented means for calculating a base score and one or more concept vectors to identify the selected claims that demonstrate a given probability of recovery. | 12. A computer system for determining whether a claim has merit to warrant claim recovery comprising: a computer implemented means for describing a set of documents containing terms and phrases having contextual bases; a means for transforming the terms and phrases; a computer implemented means for iterating a classification process to determine rules that best classify the set of documents based upon context; a computer implemented means for incorporating the rules into an induction and knowledge representation; a thesauri taxonomy and a text summarization to classify claims; a computer implemented means for calculating a base score and one or more concept vectors to identify the selected claims that demonstrate a given probability of recovery. 14. The computer system of claim 12 further comprising one or more of means for one of a statistical analysis or regression analysis where a statistic proves or disproves a null hypothesis regarding a class in which to include the unstructured textual data. | 0.55137 |
1. A method comprising, by a computing system: receiving, from a client system of a first user of an online social network, an indication of the first user accessing a query field associated with a currently accessed page of the online social network, the online social network being associated with a plurality of entities, wherein the currently accessed page is a unique profile page of a particular entity of the plurality of entities; identifying the particular entity of the plurality of entities corresponding to the profile page generating one or more structured queries based on the particular entity corresponding to the profile page, each structured query comprising a reference to the particular entity corresponding to the profile page and one or more additional query tokens; and sending, to the client system of the first user, responsive to the user accessing the query field, instructions for displaying one or more suggested queries on the page, wherein the one or more suggested queries correspond to one or more of the structured queries, respectively, and wherein each suggested query that is displayed is selectable by the first user to retrieve search results corresponding to the selected query. | 1. A method comprising, by a computing system: receiving, from a client system of a first user of an online social network, an indication of the first user accessing a query field associated with a currently accessed page of the online social network, the online social network being associated with a plurality of entities, wherein the currently accessed page is a unique profile page of a particular entity of the plurality of entities; identifying the particular entity of the plurality of entities corresponding to the profile page generating one or more structured queries based on the particular entity corresponding to the profile page, each structured query comprising a reference to the particular entity corresponding to the profile page and one or more additional query tokens; and sending, to the client system of the first user, responsive to the user accessing the query field, instructions for displaying one or more suggested queries on the page, wherein the one or more suggested queries correspond to one or more of the structured queries, respectively, and wherein each suggested query that is displayed is selectable by the first user to retrieve search results corresponding to the selected query. 10. The method of claim 1 , wherein the structured queries are displayed in a drop-down menu on the profile page, wherein the drop-down menu enables the first user to select one of the structured queries. | 0.62694 |
28. A computer program product, comprising a computer-readable storage medium including computer-readable instructions embodied therein, that when executed by one or more processors, implement a method for the retrieval, analysis and display of electronically tagged financial data in XBRL format, the instructions comprising: an integrated file access component, analysis component and presentation component for accessing, analyzing and presenting electronically tagged financial data in XBRL format within the application; the file access component comprising: one or more user selection modules for selecting a plurality of XBRL files, the XBRL files including at least electronically tagged financial data which adhere to different taxonomies that are associated with the same type of content, the analysis component comprising: one or more analysis modules for calculating at least a first common analysis measure for comparison and analysis of electronically tagged financial data from a first file which adheres to a first taxonomy and corresponding electronically tagged financial data from a second file which adheres to a second taxonomy that are associated with the same type of content, including (i) a first formula having components based on the first taxonomy for calculating the first common analysis measure from electronically tagged financial data from the first file, and (ii) a second formula having components based on the second taxonomy for-calculating the first common analysis measure from electronically tagged financial data from the second file, wherein the first common analysis measure comprises an analytical metric not present in either the first file or the second file; and the presentation component comprising: one or more presentation modules for presenting information associated with the selected XBRL files, the presented information including data elements and a calculation of at least the first common analysis measure automatically formatted according to presentation information associated with the selected XBRL files so as to provide simultaneous line-by-line display of at least the first calculated common analysis measures that correspond to different taxonomies and another calculated common analysis measure. | 28. A computer program product, comprising a computer-readable storage medium including computer-readable instructions embodied therein, that when executed by one or more processors, implement a method for the retrieval, analysis and display of electronically tagged financial data in XBRL format, the instructions comprising: an integrated file access component, analysis component and presentation component for accessing, analyzing and presenting electronically tagged financial data in XBRL format within the application; the file access component comprising: one or more user selection modules for selecting a plurality of XBRL files, the XBRL files including at least electronically tagged financial data which adhere to different taxonomies that are associated with the same type of content, the analysis component comprising: one or more analysis modules for calculating at least a first common analysis measure for comparison and analysis of electronically tagged financial data from a first file which adheres to a first taxonomy and corresponding electronically tagged financial data from a second file which adheres to a second taxonomy that are associated with the same type of content, including (i) a first formula having components based on the first taxonomy for calculating the first common analysis measure from electronically tagged financial data from the first file, and (ii) a second formula having components based on the second taxonomy for-calculating the first common analysis measure from electronically tagged financial data from the second file, wherein the first common analysis measure comprises an analytical metric not present in either the first file or the second file; and the presentation component comprising: one or more presentation modules for presenting information associated with the selected XBRL files, the presented information including data elements and a calculation of at least the first common analysis measure automatically formatted according to presentation information associated with the selected XBRL files so as to provide simultaneous line-by-line display of at least the first calculated common analysis measures that correspond to different taxonomies and another calculated common analysis measure. 51. The computer program product of claim 28 , further comprising a comparison module comprising means for calculating common analysis measures associated with two or more selected XBRL files and means for generating one or more comparison views of common data elements from the two or more selected XBRL files. | 0.537561 |
25. A method performed by a computer system to simulate a physical event, the method comprising: receiving a first input of one or more attributes related to a physical context of the physical event, wherein the receiving the first input of the one or more attributes includes receiving at least one first attribute related to a present location of a physical entity in the physical event; receiving a second input of one or more parameters related to a prediction of future behavior of the physical entity, wherein the receiving the second input of the one or more parameters includes receiving at least one parameter related to information usable to predict the future behavior of the physical entity in the physical event, wherein the at least one parameter is received in response to the at least one first attribute being presented, as a stimulus for the future behavior, on a display; receiving an indication to activate a computer device to start a simulation of the physical event in a virtual context in which the physical entity is simulated, wherein the start of the simulation includes positioning the simulated physical entity in the simulation at a location that corresponds to the present location of the physical entity in the physical event in accordance with the at least one parameter and in accordance with the at least one first attribute; and in response to receipt of the indication, starting the simulation with user control of the simulated physical entity to interact with the simulation from the location at which the simulated physical entity is positioned. | 25. A method performed by a computer system to simulate a physical event, the method comprising: receiving a first input of one or more attributes related to a physical context of the physical event, wherein the receiving the first input of the one or more attributes includes receiving at least one first attribute related to a present location of a physical entity in the physical event; receiving a second input of one or more parameters related to a prediction of future behavior of the physical entity, wherein the receiving the second input of the one or more parameters includes receiving at least one parameter related to information usable to predict the future behavior of the physical entity in the physical event, wherein the at least one parameter is received in response to the at least one first attribute being presented, as a stimulus for the future behavior, on a display; receiving an indication to activate a computer device to start a simulation of the physical event in a virtual context in which the physical entity is simulated, wherein the start of the simulation includes positioning the simulated physical entity in the simulation at a location that corresponds to the present location of the physical entity in the physical event in accordance with the at least one parameter and in accordance with the at least one first attribute; and in response to receipt of the indication, starting the simulation with user control of the simulated physical entity to interact with the simulation from the location at which the simulated physical entity is positioned. 28. The method of claim 25 , wherein: the receiving the one or more attributes includes receiving at least one second attribute related to a present physical context other than the present location of the physical entity in the physical event, and the simulation of the physical entity is based, at least in part, on the at least one second attribute. | 0.617512 |
16. The computer readable storage medium of claim 13 , wherein the campaign fulfillment metric is estimated, at least in part, based on a number of social publishers suitable for displaying the brand art and an estimate of acceptance of offers by the social publishers. | 16. The computer readable storage medium of claim 13 , wherein the campaign fulfillment metric is estimated, at least in part, based on a number of social publishers suitable for displaying the brand art and an estimate of acceptance of offers by the social publishers. 17. The computer readable storage medium of claim 16 , wherein the estimate of acceptance of offers by the social publishers is estimated based, at least in part, on a competitiveness of a bid amount. | 0.954104 |
7. A computer readable storage medium containing a program for automatically generating physical query statements which, when executed, performs operations comprising: receiving a query statement configured to request a result set from a database, the query statement including data manipulation logic in a first query language format and a reference to a previously defined abstract query containing data manipulation logic related to logical fields corresponding to physical fields of the database; merging the data manipulation logic contained in the query statement with the data manipulation logic contained in the previously defined abstract query; generating a query, executable against the database, based on the merged data manipulation logic; and receiving query results corresponding to the executed executable query. | 7. A computer readable storage medium containing a program for automatically generating physical query statements which, when executed, performs operations comprising: receiving a query statement configured to request a result set from a database, the query statement including data manipulation logic in a first query language format and a reference to a previously defined abstract query containing data manipulation logic related to logical fields corresponding to physical fields of the database; merging the data manipulation logic contained in the query statement with the data manipulation logic contained in the previously defined abstract query; generating a query, executable against the database, based on the merged data manipulation logic; and receiving query results corresponding to the executed executable query. 10. The computer readable medium of claim 7 , wherein merging the data manipulation logic included in the query statement with the data manipulation logic contained in the saved abstract query comprises: creating a new abstract query based on the previously defined abstract query and the data manipulation logic included in the query statement. | 0.5 |
10. A method of using multiple speech recognizers, said method comprising: determining an allocation of speech recognition tasks among the multiple speech recognizers based on a complexity level of a speech with respect to a threshold, wherein the threshold is based on a vocabulary size, and wherein the multiple speech recognizers include a mobile-device-based speech recognizer on a mobile device and a server-based speech recognizer on a server; allocating the speech recognition tasks to both the mobile-device-based speech recognizer and the server-based speech recognizer based on the determined allocation; receiving results from the mobile-device-based speech recognizer and the server-based speech recognizer, wherein the results from each of the speech recognizers include recognized words and a confidence score for each of the recognized words; and combining the results to generate a single result, including comparing the results from the mobile-device-based speech recognizer and the results from the server-based speech recognizer on a word-to-word basis, and selecting a word from the mobile-device-based speech recognizer or a word from the server-based speech recognizer as a recognized word for the single result based on the confidence score of that word. | 10. A method of using multiple speech recognizers, said method comprising: determining an allocation of speech recognition tasks among the multiple speech recognizers based on a complexity level of a speech with respect to a threshold, wherein the threshold is based on a vocabulary size, and wherein the multiple speech recognizers include a mobile-device-based speech recognizer on a mobile device and a server-based speech recognizer on a server; allocating the speech recognition tasks to both the mobile-device-based speech recognizer and the server-based speech recognizer based on the determined allocation; receiving results from the mobile-device-based speech recognizer and the server-based speech recognizer, wherein the results from each of the speech recognizers include recognized words and a confidence score for each of the recognized words; and combining the results to generate a single result, including comparing the results from the mobile-device-based speech recognizer and the results from the server-based speech recognizer on a word-to-word basis, and selecting a word from the mobile-device-based speech recognizer or a word from the server-based speech recognizer as a recognized word for the single result based on the confidence score of that word. 13. The method of claim 10 , further comprising: if the complexity of the speech is below the threshold, allocating the speech recognition tasks to the mobile-device-based speech recognizer, and if the results provided by the mobile-device-based speech recognizer are below a predetermined threshold, allocating the speech recognition tasks to the server-based speech recognizer for re-processing. | 0.570655 |
33. The method of claim 20 , wherein the computing system is further programmed to initiate a testing phase mode within the behavioral analysis engine, said testing phase mode configured to detect the occurrence of one or more learned events. | 33. The method of claim 20 , wherein the computing system is further programmed to initiate a testing phase mode within the behavioral analysis engine, said testing phase mode configured to detect the occurrence of one or more learned events. 34. The method of claim 33 , wherein, during the training phase mode of the behavioral analysis engine, the computing system is programmed to: compare features contained within the feature vector against one or more learned events; determine the probability that an event has occurred; and output a response to the user if the probability that the event has occurred is greater than a confidence threshold value. | 0.74116 |
1. A method for comparing a source document with a target document, each document is capable of being parsed into a DOM (Document Object Model) tree, said method comprising the steps of: parsing the source document into a source DOM tree; parsing the target document into a target DOM tree; creating a source leaf path table from the source DOM tree; creating a target leaf path table from the target DOM tree, each of the tables containing leaf paths which comprise nodes; generating a comparison of the source document with the target document by identifying entries, within the target leaf path table, that exactly match entries in the source leaf path table, for each match found, labeling as exactly matched corresponding source and target leaf paths, and for only those leaf paths that have not been labeled as exactly matched, identifying whether or not schema matches exist between those leaf paths present in the source leaf path table and those leaf paths present in the target leaf path table; and outputting to a user the comparison of the documents. | 1. A method for comparing a source document with a target document, each document is capable of being parsed into a DOM (Document Object Model) tree, said method comprising the steps of: parsing the source document into a source DOM tree; parsing the target document into a target DOM tree; creating a source leaf path table from the source DOM tree; creating a target leaf path table from the target DOM tree, each of the tables containing leaf paths which comprise nodes; generating a comparison of the source document with the target document by identifying entries, within the target leaf path table, that exactly match entries in the source leaf path table, for each match found, labeling as exactly matched corresponding source and target leaf paths, and for only those leaf paths that have not been labeled as exactly matched, identifying whether or not schema matches exist between those leaf paths present in the source leaf path table and those leaf paths present in the target leaf path table; and outputting to a user the comparison of the documents. 11. The computer hardware device of claim 1 , wherein the identifying comprises: creating, for each entry in the source leaf path table, a candidate target leaf path list of all entries in the target leaf path table having the same depth as a source leaf path table entry selected to be matched, and searching the candidate target leaf path list for leaf paths that exactly match the selected source leaf path entry. | 0.558783 |
33. The non-transitory computer-readable storage medium of claim 31 , said making the created content preview document available for searching by a search engine further comprising: adding the content preview document to the index that is searchable by the search engine. | 33. The non-transitory computer-readable storage medium of claim 31 , said making the created content preview document available for searching by a search engine further comprising: adding the content preview document to the index that is searchable by the search engine. 35. The non-transitory computer-readable storage medium of claim 33 , said adding the content preview document to the index further comprising: generating the index using a database of documents that includes the content preview document. | 0.901991 |
16. A method performed by a computer system, the method comprising: presenting, via a first interface associated with the computer system, information identifying each of a plurality of documents, selected by a publisher of the plurality of documents, as selected documents, the information including: access statistics for one or more of the selected document that relate to previous accesses of the one or more selected document by users, where the access statistics include an indication of an average number of different pages for a particular document, of the one more of the select documents, accessed per user, and fields that define presentation parameters, applied to each of the selected documents, that relate to how the selected documents are to be presented shown to users when accessing the selected documents, where the presentation parameters, applied to a first document of the selected documents, are different than the presentation parameters applied to a second document of the selected documents, where the fields, for one of the selected documents, include: a field that allows the publisher to define one or more portions, of the one of the selected documents, that are to be provided to the users for purchase, where the one or more portions, of the one of the selected documents to be provided to the users for purchase, are less than the full content of the one of the selected documents, a field that allows the publisher to define whether images, included in the one of the selected documents, are to be viewable to the users when presenting the one of the selected documents to the users, and least one of: a field that allows the publisher to define a maximum portion of the one of the selected documents to present to the users, where the maximum portion is less than an entirety of the one of the selected documents, or a field that allows the publisher to list one or more particular advertisements, of a plurality of advertisements, that are to be blocked when presenting the one of the selected documents to the users; providing a second interface based on selection of one or more documents of the selected documents, where the second interface includes information identifying the one or more documents, the information identifying the one or more documents including the presentation parameters, associated with the fields and corresponding to the one or more documents; receiving, via the second interface, modifications to the presentation parameters, associated with the fields and corresponding to the one or more documents, from the publisher; applying, by a processor associated with the computer system, the modified presentation parameters to the one or more documents; and providing, by a processor associated with the computer system and according to the modified presentation parameters, at least one document, of the one or more documents, to a user. | 16. A method performed by a computer system, the method comprising: presenting, via a first interface associated with the computer system, information identifying each of a plurality of documents, selected by a publisher of the plurality of documents, as selected documents, the information including: access statistics for one or more of the selected document that relate to previous accesses of the one or more selected document by users, where the access statistics include an indication of an average number of different pages for a particular document, of the one more of the select documents, accessed per user, and fields that define presentation parameters, applied to each of the selected documents, that relate to how the selected documents are to be presented shown to users when accessing the selected documents, where the presentation parameters, applied to a first document of the selected documents, are different than the presentation parameters applied to a second document of the selected documents, where the fields, for one of the selected documents, include: a field that allows the publisher to define one or more portions, of the one of the selected documents, that are to be provided to the users for purchase, where the one or more portions, of the one of the selected documents to be provided to the users for purchase, are less than the full content of the one of the selected documents, a field that allows the publisher to define whether images, included in the one of the selected documents, are to be viewable to the users when presenting the one of the selected documents to the users, and least one of: a field that allows the publisher to define a maximum portion of the one of the selected documents to present to the users, where the maximum portion is less than an entirety of the one of the selected documents, or a field that allows the publisher to list one or more particular advertisements, of a plurality of advertisements, that are to be blocked when presenting the one of the selected documents to the users; providing a second interface based on selection of one or more documents of the selected documents, where the second interface includes information identifying the one or more documents, the information identifying the one or more documents including the presentation parameters, associated with the fields and corresponding to the one or more documents; receiving, via the second interface, modifications to the presentation parameters, associated with the fields and corresponding to the one or more documents, from the publisher; applying, by a processor associated with the computer system, the modified presentation parameters to the one or more documents; and providing, by a processor associated with the computer system and according to the modified presentation parameters, at least one document, of the one or more documents, to a user. 25. The method of claim 16 , where the fields further include a field that allows the publisher to define one or more advertisements that are to be presented when the one of the selected documents is presented to the users, the field, that allows the publisher to define one or more advertisements that are to be presented, being associated with a time period defined by the publisher, and where, after expiration of the time period, the one or more advertisements are automatically not presented when the one of the selected documents is presented to the users. | 0.652953 |
13. A method comprising: generating, using at least one processor, data used to display tabular data to a user, a first column of the tabular data being associated with a first entity type and non-heading rows in the tabular data representing entities of the first entity type in a knowledge document; permitting the user to select a second column of the tabular data and provide a second entity type as an object type to be associated with a labeled relationship represented by a heading of the second column; generating, using the at least one processor, an entity in the knowledge document of the second entity type that represents a value in a non-heading row in the tabular data; linking an entity of the first entity type that is associated with a non-heading row to the generated entity by the relationship; and storing an updated knowledge document in a memory. | 13. A method comprising: generating, using at least one processor, data used to display tabular data to a user, a first column of the tabular data being associated with a first entity type and non-heading rows in the tabular data representing entities of the first entity type in a knowledge document; permitting the user to select a second column of the tabular data and provide a second entity type as an object type to be associated with a labeled relationship represented by a heading of the second column; generating, using the at least one processor, an entity in the knowledge document of the second entity type that represents a value in a non-heading row in the tabular data; linking an entity of the first entity type that is associated with a non-heading row to the generated entity by the relationship; and storing an updated knowledge document in a memory. 19. The method of claim 13 , further comprising: permitting the user to add a new column to the tabular data by supplying a name and a natural language computation, the natural language computation identifying a particular relationship; parsing the computation to determine the particular relationship; determining that the computation specifies an inverse relationship; determining a plurality of entities that satisfy the inverse relationship for a second entity of the first entity type; and displaying representations for the plurality of entities as values for the new column in a row of the tabular display associated with the second entity of the first entity type. | 0.629213 |
1. A method for generating a language processing model, comprising: obtaining multiple content items, wherein each content item is associated with one or more multi-media items and comprises one or more n-grams, wherein an n-gram is a digital representation of one or more words or groups of characters; for each selected content item of the multiple content items: identifying one or more multi-media labels for the one or more multi-media items associated with the selected content item; assigning to the identified one or more multi-media labels at least some of the one or more n-grams of the selected content item; and including, in a language corpus, the one or more n-grams of the selected content item; and generating the language processing model comprising a probability distribution by computing, for each selected n-gram of multiple n-grams in the language corpus, a frequency that the selected n-gram occurs in the language corpus, wherein the probability distribution can take representations of multi-media labels as parameters, and wherein at least some probabilities provided by the probability distribution are multi-media context probabilities indicating a probability of a chosen n-gram occurring, given that the chosen n-gram is associated with provided multi-media labels, wherein the multi-media context probabilities are based on the assigning of the identified one or more multi-media labels. | 1. A method for generating a language processing model, comprising: obtaining multiple content items, wherein each content item is associated with one or more multi-media items and comprises one or more n-grams, wherein an n-gram is a digital representation of one or more words or groups of characters; for each selected content item of the multiple content items: identifying one or more multi-media labels for the one or more multi-media items associated with the selected content item; assigning to the identified one or more multi-media labels at least some of the one or more n-grams of the selected content item; and including, in a language corpus, the one or more n-grams of the selected content item; and generating the language processing model comprising a probability distribution by computing, for each selected n-gram of multiple n-grams in the language corpus, a frequency that the selected n-gram occurs in the language corpus, wherein the probability distribution can take representations of multi-media labels as parameters, and wherein at least some probabilities provided by the probability distribution are multi-media context probabilities indicating a probability of a chosen n-gram occurring, given that the chosen n-gram is associated with provided multi-media labels, wherein the multi-media context probabilities are based on the assigning of the identified one or more multi-media labels. 8. The method of claim 1 , wherein the one or more multi-media items that at least one of the content items is associated with comprises an image. | 0.839463 |
2. The method according to claim 1 further comprising: injecting into the client-side page a second meta-proxy code with a different name. | 2. The method according to claim 1 further comprising: injecting into the client-side page a second meta-proxy code with a different name. 3. The method according to claim 2 wherein the second meta-proxy code is for asynchronous calls. | 0.959411 |
1. A field-based similarity search system, comprising: an input device which inputs a query molecule; and a processor which: partitions a conformational space of said query molecule into a fragment graph comprising an acyclic graph including plural fragment nodes connected by rotatable bond edges; computes a property field on fragment pairs of fragments of said query molecule from said fragment graph, said property field comprising a local approximation of a property field of said query molecule; constructs a set of fragment pairs for description of each candidate molecule wherein each set is known as a set of candidate molecule fragment pairs; constructs a set of features of said fragment pairs based on said property field, said features comprising a set of local, rotationally invariant, and moment-based descriptors generated from all conformations of said fragment graph of said query molecule; and weights said descriptors according to importance as perceived from a training set of descriptors to generate a context-adapted descriptor-to-key mapping which maps said set of descriptors to a set of feature keys comprising indices that label grid cells in discriminant space, wherein a candidate molecule fragment pair is within a set of candidate molecule fragment pairs that describe a candidate molecule stored in a feature database to said query molecule, and wherein the number of candidate molecule fragment pairs in the set, C fp , is given by C fp =(n−1)×(C frag ) 2 ×C rbe , where n is the number of fragments in said candidate molecule and n−1 is the number of rotatable bond edges connecting n fragments, C frag is a number of conformations in a fragment of said fragments and C rbe is a number of steps in which said rotatable bond edges are sampled. | 1. A field-based similarity search system, comprising: an input device which inputs a query molecule; and a processor which: partitions a conformational space of said query molecule into a fragment graph comprising an acyclic graph including plural fragment nodes connected by rotatable bond edges; computes a property field on fragment pairs of fragments of said query molecule from said fragment graph, said property field comprising a local approximation of a property field of said query molecule; constructs a set of fragment pairs for description of each candidate molecule wherein each set is known as a set of candidate molecule fragment pairs; constructs a set of features of said fragment pairs based on said property field, said features comprising a set of local, rotationally invariant, and moment-based descriptors generated from all conformations of said fragment graph of said query molecule; and weights said descriptors according to importance as perceived from a training set of descriptors to generate a context-adapted descriptor-to-key mapping which maps said set of descriptors to a set of feature keys comprising indices that label grid cells in discriminant space, wherein a candidate molecule fragment pair is within a set of candidate molecule fragment pairs that describe a candidate molecule stored in a feature database to said query molecule, and wherein the number of candidate molecule fragment pairs in the set, C fp , is given by C fp =(n−1)×(C frag ) 2 ×C rbe , where n is the number of fragments in said candidate molecule and n−1 is the number of rotatable bond edges connecting n fragments, C frag is a number of conformations in a fragment of said fragments and C rbe is a number of steps in which said rotatable bond edges are sampled. 6. The field-based similarity search system of claim 1 , wherein said processor further partitions said conformational space by constructing a data representation in the fragment graph, each node of the fragment graph comprising plural fragment nodes connected by rotatable bond edges, a specific conformation of a fragment node in said plural fragment nodes comprising a fragment of said query molecule, and two neighboring fragments connected by a rotatable bond at a specific dihedral angle comprising said fragment pair. | 0.5 |
1. A method for generating data quality indicators for relationships, wherein relationships are established between a customer and a business, in a database, comprising: comparing, by a computer based system for generating the data quality indicators for the relationships, for each relationship in a set of relationships, data associated with the respective relationship and corresponding data obtained from an industry database to generate a match confidence code for each relationship in the set of relationships, wherein the set of relationships includes multiple relationships obtained from a database; determining, by the computer based system, a link confidence code for the customer, wherein the link confidence code comprises an indication of the quality of the linking between the customer and the set of relationships based on the generated match confidence code for each relationship in the set of relationships and internal information associated with each relationship in the set of relationships, wherein the link confidence code is distinct from the match confidence code; and providing, by the computer based system, at least one of the link confidence code for the customer and the match confidence code for each relationship in the set of relationships linked to the customer. | 1. A method for generating data quality indicators for relationships, wherein relationships are established between a customer and a business, in a database, comprising: comparing, by a computer based system for generating the data quality indicators for the relationships, for each relationship in a set of relationships, data associated with the respective relationship and corresponding data obtained from an industry database to generate a match confidence code for each relationship in the set of relationships, wherein the set of relationships includes multiple relationships obtained from a database; determining, by the computer based system, a link confidence code for the customer, wherein the link confidence code comprises an indication of the quality of the linking between the customer and the set of relationships based on the generated match confidence code for each relationship in the set of relationships and internal information associated with each relationship in the set of relationships, wherein the link confidence code is distinct from the match confidence code; and providing, by the computer based system, at least one of the link confidence code for the customer and the match confidence code for each relationship in the set of relationships linked to the customer. 6. The method of claim 1 , wherein the determining step comprises: appending, by the computer based system, the internal data associated with each relationship in the set of relationships to the match confidence code for each relationship in the set of relationships; and applying a rule, by the computer based system, to the internal data and match confidence code associated with each relationship the set of relationships to generate the link confidence code for the customer. | 0.667692 |
1. A clustering apparatus comprising: an input unit configured to input at least one phonemic model attached with determination information indicating a small amount of speech data for training, and at least one phonemic model not attached with the determination information; a node initializing unit configured to generate a node including the inputted phonemic models as a root node of a tree structure; a candidate generating unit configured to generate candidates of a pair of child sets for a node having no child node among nodes in the tree structure, by partitioning a set of phonemic models included in the node into two; a candidate deleting unit configured to delete a candidate including the two child sets at least one of which includes only phonemic models attached with the determination information, from the generated candidates; a similarity calculating unit configured to calculate a similarity among the phonemic models included in each of the two child sets included in each of the candidates other than the deleted candidates, and calculates a sum of the similarities calculated for the child sets; a candidate selecting unit configured to select one of the candidates having a largest calculated sum; a node generating unit configured to generate two nodes including two child sets included in the selected candidate, respectively, as child nodes of the node that is a generation source of the selected candidate; and a clustering unit configured to cluster the phonemic models in units of phonemic model sets included in nodes of the tree structure. | 1. A clustering apparatus comprising: an input unit configured to input at least one phonemic model attached with determination information indicating a small amount of speech data for training, and at least one phonemic model not attached with the determination information; a node initializing unit configured to generate a node including the inputted phonemic models as a root node of a tree structure; a candidate generating unit configured to generate candidates of a pair of child sets for a node having no child node among nodes in the tree structure, by partitioning a set of phonemic models included in the node into two; a candidate deleting unit configured to delete a candidate including the two child sets at least one of which includes only phonemic models attached with the determination information, from the generated candidates; a similarity calculating unit configured to calculate a similarity among the phonemic models included in each of the two child sets included in each of the candidates other than the deleted candidates, and calculates a sum of the similarities calculated for the child sets; a candidate selecting unit configured to select one of the candidates having a largest calculated sum; a node generating unit configured to generate two nodes including two child sets included in the selected candidate, respectively, as child nodes of the node that is a generation source of the selected candidate; and a clustering unit configured to cluster the phonemic models in units of phonemic model sets included in nodes of the tree structure. 4. The apparatus according to claim 1 , wherein each of the phonemic models corresponds to each state of a Hidden Markov Model (HMM) that is obtained by modeling a transition relation among acoustical features of phonemes. | 0.798007 |
1. A method of generating a virtual suffix tree (ViST) structure for searching XML documents, comprising: receiving one or more XML documents; converting the one or more XML documents into respective structure-encoded sequences; generating the ViST structure comprising: generating a D-Ancestor index of node pairs in the respective structure-encoded sequences; generating an S-Ancestor index of labels in one or more suffix trees corresponding to respective ones of the structure-encoded sequences; and generating a doc-ID index encoding the D-Ancestor index and the S-Ancestor index for each node of the structure-encoded sequences, wherein the encoding of the doc-ID index contains an answer to a query matching a non-contiguous subsequence in the doc-ID index; and updating the ViST structure, the updating comprising: receiving a new XML document; transforming the new XML document into a respecitve structure-encoded sequence; inserting each element of the sequence into the D-Ancestor index to update relationships among nodes of the D-Ancestor index wherein the insertion of at least one of the elements results in the creation of a new node; assigning a new label to the new node based on an estimated number of different elements following the element corresponding to the new node and an occurrence probability of each of the elements following the element corresponding to the new node; and inserting the new label into the S-Ancestor index. | 1. A method of generating a virtual suffix tree (ViST) structure for searching XML documents, comprising: receiving one or more XML documents; converting the one or more XML documents into respective structure-encoded sequences; generating the ViST structure comprising: generating a D-Ancestor index of node pairs in the respective structure-encoded sequences; generating an S-Ancestor index of labels in one or more suffix trees corresponding to respective ones of the structure-encoded sequences; and generating a doc-ID index encoding the D-Ancestor index and the S-Ancestor index for each node of the structure-encoded sequences, wherein the encoding of the doc-ID index contains an answer to a query matching a non-contiguous subsequence in the doc-ID index; and updating the ViST structure, the updating comprising: receiving a new XML document; transforming the new XML document into a respecitve structure-encoded sequence; inserting each element of the sequence into the D-Ancestor index to update relationships among nodes of the D-Ancestor index wherein the insertion of at least one of the elements results in the creation of a new node; assigning a new label to the new node based on an estimated number of different elements following the element corresponding to the new node and an occurrence probability of each of the elements following the element corresponding to the new node; and inserting the new label into the S-Ancestor index. 3. The method of claim 1 , wherein generating the S-Ancestor index comprises generating an S-Ancestor B+Tree, wherein the S-Ancestor B+Tree indexes one or more keys, wherein each of the one or more keys is a pair [begin-ID,end-ID]. | 0.570331 |
13. The method of claim 12 , wherein said mapping maps at least a full set of characters in a human language script between said system font in said mapping and said corresponding target font. | 13. The method of claim 12 , wherein said mapping maps at least a full set of characters in a human language script between said system font in said mapping and said corresponding target font. 14. The method of claim 13 , wherein: said exporting step generates a code that uses a markup language and a style sheet language; and said corresponding target font is a web font. | 0.907379 |
1. A method of operation of a navigation system comprising: generating a training data with a control unit from a randomly sampled uncategorized point of interest; generating a trained classifier model by training a classifier model using the training data; generating a category identifier and confidence score for an uncategorized point of interest using the trained classifier model; generating a categorized point of interest by assigning the category identifier to the uncategorized point of interest; calculating a weighted confidence score based on a weighted F-measure for the category identifier, a pair of the category identifier and the confidence score; consolidating the categorized point of interest based on the weighted confidence score for the category identifier being meeting or exceeding a threshold for displaying on a device; searching a total category set for the categorized point of interest; generating a minimum category set contains an incorrect category identifier from the total category set; and generating a maximum category set without the incorrect category identifier by eliminating the minimum category set from the total category set for the categorized point of interest. | 1. A method of operation of a navigation system comprising: generating a training data with a control unit from a randomly sampled uncategorized point of interest; generating a trained classifier model by training a classifier model using the training data; generating a category identifier and confidence score for an uncategorized point of interest using the trained classifier model; generating a categorized point of interest by assigning the category identifier to the uncategorized point of interest; calculating a weighted confidence score based on a weighted F-measure for the category identifier, a pair of the category identifier and the confidence score; consolidating the categorized point of interest based on the weighted confidence score for the category identifier being meeting or exceeding a threshold for displaying on a device; searching a total category set for the categorized point of interest; generating a minimum category set contains an incorrect category identifier from the total category set; and generating a maximum category set without the incorrect category identifier by eliminating the minimum category set from the total category set for the categorized point of interest. 5. The method as claimed in claim 1 wherein generating the training data includes: generating a random query result using a positive keyword and a negative keyword for the category identifier to query the randomly sampled uncategorized point of interest; verifying the random query result is positive or negative for the category identifier and generating the training data by associating the random query result which is positive with the category identifier; updating the trained classifier model by training the classifier model using the training data; updating the category identifier and the confidence score by classifying the randomly sampled uncategorized point of interest utilizing the trained classifier model; generating an initially classified POI based on the confidence score for the category identifier being less than a fixed threshold; and correcting the initially classified POI and updating the training data with a correctly categorized point of interest. | 0.522848 |
7. The computer-implemented method of claim 1 , wherein transmitting the report of the response to a remote computing system further comprises: providing a user-specific report of the response to the viewed multimedia content to at least one or more of rating agencies, content providers and advertisers. | 7. The computer-implemented method of claim 1 , wherein transmitting the report of the response to a remote computing system further comprises: providing a user-specific report of the response to the viewed multimedia content to at least one or more of rating agencies, content providers and advertisers. 9. The computer-implemented method of claim 7 , further comprising: receiving personalized content related to the viewed multimedia content based on the user-specific report and displaying the personalized content to the one or more users via an audio visual device connected to the computing device. | 0.920669 |
2. The method of claim 1 , where determining the first bridge-based alignment using the first bridge language includes: determining a first alignment between the source language and the first bridge language; determining a second alignment between the first bridge language and the target language; and determining the first bridge-based alignment between the source language and the target language using the first and second alignments. | 2. The method of claim 1 , where determining the first bridge-based alignment using the first bridge language includes: determining a first alignment between the source language and the first bridge language; determining a second alignment between the first bridge language and the target language; and determining the first bridge-based alignment between the source language and the target language using the first and second alignments. 5. The method of claim 2 , where determining the first bridge-based alignment using the first bridge language further comprises: determining a first posterior probability matrix associated with an alignment from the source language to the first bridge language; determining a second posterior probability matrix associated with an alignment from the first bridge language to the target language; determining a third posterior probability matrix associated with an alignment from the source language to the target language as a function of the first posterior probability matrix and the second posterior probability matrix; and identifying a maximum alignment probability using the third posterior probability matrix. | 0.713257 |
1. A Transcription Engine comprising: at least one server configured to automatically register and authenticate an end user or broadcaster based on received end user equipment information and received broadcaster equipment information respectively and perform a broadcast by transcribing, in real time, voice communications received from registered broadcaster equipment, into associated text and broadcast the associated text to the registered end user equipment or to the registered broadcaster equipment; and administrative equipment coupled to the at least one server, the administrative equipment operated to accept a request from a registered end user equipment to ask questions during the broadcast and to confirm the broadcast of the questions or deny the request. | 1. A Transcription Engine comprising: at least one server configured to automatically register and authenticate an end user or broadcaster based on received end user equipment information and received broadcaster equipment information respectively and perform a broadcast by transcribing, in real time, voice communications received from registered broadcaster equipment, into associated text and broadcast the associated text to the registered end user equipment or to the registered broadcaster equipment; and administrative equipment coupled to the at least one server, the administrative equipment operated to accept a request from a registered end user equipment to ask questions during the broadcast and to confirm the broadcast of the questions or deny the request. 5. The Transcription Engine of claim 1 where the at least one server is configured to receive instructions from the administrative equipment to adjust the voice communications being received by the Transcription Engine from the broadcaster equipment. | 0.671745 |
1. A method performed by a computer server for inferring location context categories for a set of mobile users having at least two members, comprising: for each mobile user in the set, obtaining at least one location context category; and applying multi-user collaborative machine learning with an objective function to the at least one location context category for each mobile user in the set to infer a single refined location context category for each mobile user in the set to form a matrix. | 1. A method performed by a computer server for inferring location context categories for a set of mobile users having at least two members, comprising: for each mobile user in the set, obtaining at least one location context category; and applying multi-user collaborative machine learning with an objective function to the at least one location context category for each mobile user in the set to infer a single refined location context category for each mobile user in the set to form a matrix. 10. A non-transitory article of manufacture tangibly embodying a computer readable program which when executed causes a computer to perform the steps of claim 1 . | 0.843269 |
1. A method of incrementally identifying and selecting a television content item to be presented from a relatively large set of selectable television content items, the television content items being associated with descriptive terms that characterize the selectable television content items, the method comprising: using an ordering criteria to rank and associate subsets of television content items with corresponding strings of one or more descriptor prefix strings, each descriptor prefix string being a variable length string containing a subset of the characters of the descriptive terms that characterize the selectable television content items, wherein each descriptor prefix string contains less than all characters of the descriptive terms; subsequent to ranking and associating the television content items with strings of one or more descriptor prefix strings, receiving incremental text input entered by a user, the incremental text input including a first descriptor prefix of a word entered by the user for incrementally identifying at least one desired television content item of the relatively large set of television content items, wherein the first descriptor prefix contains less than all characters of the word the user is using to incrementally identify the at least one desired television content item; selecting and presenting on a display device the subset of television content items that is associated with the first descriptor prefix string; subsequent to receiving the first descriptor prefix, receiving subsequent incremental text input entered by the user, the subsequent incremental text input including a second descriptor prefix of a word entered by the user for incrementally identifying the at least one desired television content item and forming a string of prefixes including the first descriptor prefix and the second descriptor prefix in the order received, wherein the second descriptor prefix contains less than all characters of the word the user is using to incrementally identify the at least one desired television content item; and selecting and presenting on the display device the subset of television content items that is associated with the string of prefixes received. | 1. A method of incrementally identifying and selecting a television content item to be presented from a relatively large set of selectable television content items, the television content items being associated with descriptive terms that characterize the selectable television content items, the method comprising: using an ordering criteria to rank and associate subsets of television content items with corresponding strings of one or more descriptor prefix strings, each descriptor prefix string being a variable length string containing a subset of the characters of the descriptive terms that characterize the selectable television content items, wherein each descriptor prefix string contains less than all characters of the descriptive terms; subsequent to ranking and associating the television content items with strings of one or more descriptor prefix strings, receiving incremental text input entered by a user, the incremental text input including a first descriptor prefix of a word entered by the user for incrementally identifying at least one desired television content item of the relatively large set of television content items, wherein the first descriptor prefix contains less than all characters of the word the user is using to incrementally identify the at least one desired television content item; selecting and presenting on a display device the subset of television content items that is associated with the first descriptor prefix string; subsequent to receiving the first descriptor prefix, receiving subsequent incremental text input entered by the user, the subsequent incremental text input including a second descriptor prefix of a word entered by the user for incrementally identifying the at least one desired television content item and forming a string of prefixes including the first descriptor prefix and the second descriptor prefix in the order received, wherein the second descriptor prefix contains less than all characters of the word the user is using to incrementally identify the at least one desired television content item; and selecting and presenting on the display device the subset of television content items that is associated with the string of prefixes received. 5. The method of claim 1 , wherein the selected and presented subset of television content item comprises two or more television content items, and wherein the selected and presented subset of television content items are ordered for presentation in accordance with a given relevance function. | 0.548479 |
1. A computer-implemented method comprising: receiving, through a first service, a query, wherein the query comprises a reserved term associated with a particular second service; in response to receiving the query, interpreting the query as being directed to an action for the particular second service; identifying the particular second service; and providing a portion of the query to the particular second service to obtain a message for an application associated with the particular second service, the message comprising the portion of the query. | 1. A computer-implemented method comprising: receiving, through a first service, a query, wherein the query comprises a reserved term associated with a particular second service; in response to receiving the query, interpreting the query as being directed to an action for the particular second service; identifying the particular second service; and providing a portion of the query to the particular second service to obtain a message for an application associated with the particular second service, the message comprising the portion of the query. 15. The computer-implemented method of claim 1 , further comprising: determining a location associated with the computing device, wherein the message comprises the determined location. | 0.590446 |
5. The system of claim 2 , wherein the first respective score for each respective statement pair is the greater of a third respective score and a fourth respective score for the respective statement pair. | 5. The system of claim 2 , wherein the first respective score for each respective statement pair is the greater of a third respective score and a fourth respective score for the respective statement pair. 7. The system of claim 5 , wherein the fourth respective score, for each statement pair, is based on a semantical similarity between the textual statement of the first set and the textual statement of the second set. | 0.942615 |
1. A method for displaying a plurality of chat threads on a wireless mobile terminal comprising a user input device and a display, the method comprising: receiving a plurality of inbound chat messages corresponding to the plurality of chat threads, each of the plurality of inbound chat messages comprising message content; transmitting a plurality of outbound chat messages corresponding to the plurality of chat threads, each of the plurality of outbound chat messages comprising message content and being transmitted to at least one user-selected recipient to thereby become a sent chat message; simultaneously displaying the message content of each of the pluralities of inbound and sent chat messages corresponding to the plurality of chat threads in a single content region of a chat history display; receiving at the user input device a user selection of the displayed message content of a user-selected displayed chat message corresponding to one of the displayed pluralities of inbound and sent chat messages; and in response to the user selection of the displayed message content of the user-selected displayed chat message, visually highlighting in the single content region of the chat history display the displayed message content of each of the displayed inbound and sent chat messages associated with a particular chat thread corresponding to the user-selected displayed chat message and further in response to said user selection, displaying in the title bar of the chat history display a plurality of display identifiers representative of a sender and each of one or more recipients of the user-selected displayed chat message. | 1. A method for displaying a plurality of chat threads on a wireless mobile terminal comprising a user input device and a display, the method comprising: receiving a plurality of inbound chat messages corresponding to the plurality of chat threads, each of the plurality of inbound chat messages comprising message content; transmitting a plurality of outbound chat messages corresponding to the plurality of chat threads, each of the plurality of outbound chat messages comprising message content and being transmitted to at least one user-selected recipient to thereby become a sent chat message; simultaneously displaying the message content of each of the pluralities of inbound and sent chat messages corresponding to the plurality of chat threads in a single content region of a chat history display; receiving at the user input device a user selection of the displayed message content of a user-selected displayed chat message corresponding to one of the displayed pluralities of inbound and sent chat messages; and in response to the user selection of the displayed message content of the user-selected displayed chat message, visually highlighting in the single content region of the chat history display the displayed message content of each of the displayed inbound and sent chat messages associated with a particular chat thread corresponding to the user-selected displayed chat message and further in response to said user selection, displaying in the title bar of the chat history display a plurality of display identifiers representative of a sender and each of one or more recipients of the user-selected displayed chat message. 8. The method of claim 1 , wherein at least one of the plurality of inbound chat messages further comprises a message type, a plurality of recipient identifiers, a thread identifier, a message length, and a new user definition. | 0.598243 |
1. A method of retrieving a scanned document stored in a repository, comprising: displaying in a user interface a preview of a plurality of index images and each name of the document from which each index image originates, wherein each index image represents image regions in multiple documents or between pages of a single document, and each index image occurs at least once in each of its corresponding documents; displaying along with each of the index images and the document names, a document type, and a user associated with each of the documents; and responsive to user selection of at least one index image displayed in the user interface, retrieving all documents associated with the selected index image. | 1. A method of retrieving a scanned document stored in a repository, comprising: displaying in a user interface a preview of a plurality of index images and each name of the document from which each index image originates, wherein each index image represents image regions in multiple documents or between pages of a single document, and each index image occurs at least once in each of its corresponding documents; displaying along with each of the index images and the document names, a document type, and a user associated with each of the documents; and responsive to user selection of at least one index image displayed in the user interface, retrieving all documents associated with the selected index image. 6. The method of claim 1 , wherein upon selection of the at least one index image, all associated documents are displayed in the user interface. | 0.546875 |
9. A method comprising: receiving, in a specification, input data including a set of declarative statements defining parameters of a semantic network model, the input data identifying multiple resource nodes and corresponding relationships amongst the resource nodes; populating the specification with the set of declarative statements to define the semantic network model; and maintaining the specification in a repository. | 9. A method comprising: receiving, in a specification, input data including a set of declarative statements defining parameters of a semantic network model, the input data identifying multiple resource nodes and corresponding relationships amongst the resource nodes; populating the specification with the set of declarative statements to define the semantic network model; and maintaining the specification in a repository. 10. The method as in claim 9 , wherein populating the specification with the set of declarative statements to define the semantic network model includes: populating the specification in accordance with a markup language, the markup language including a predefined set of tags for delineating segments in which to define attributes associated with the semantic network model. | 0.832739 |
1. A system for authenticating an electronic document having a digital signing signature enabling a relying party that receives the digitally signed electronic document to evaluate a risk of relying on the digitally signed electronic document, comprising: an electronic network configured for electronic communication among a plurality of communication devices each associated with a respective computer system operated by a certification authority, by a signature authority, and by a signing party; the certification authority computer system configured for generating by the certification authority a digital certificate certifying a cryptographic key pair of a private key and a public key for the signature authority; the signing party computer system configured for directing the signature authority to execute a to be signed electronic document for creating a digitally signed electronic document by generating a signature creation request specifying the to be signed electronic document and communicating the signature creation request through the electronic network to the signature authority computer system; the signature authority computer system having an electronic storage device that stores the private key and the digital certificate communicated by the certification authority through the electronic network to the signature authority computer system for use when constructing an electronic signature for indicating execution of the to be signed electronic document as directed by the signing party to create the digitally signed electronic document; the signature authority computer system configured for obtaining in response to a receipt of the signature creation request, a copy of the to be signed electronic document specified in the signature creation request; the signature authority computer system configured for creating a signature data structure that includes an assertion that the signature authority applies its digital signature to the to be signed electronic document for the purpose of certifying that the signing party has legally signed the to be signed document as directed in the signature creation request, the signature authority, creating the signature data structure and, with the retrieved private key and digital certificate, creating a digital signing signature covering the signature data structure and the to be signed document and resulting in a digitally signed electronic document, whereby a relying party receiving the digitally signed electronic document, relying on the signature data structure, the digital signing signature, and the signature authority digital certificate for verifying the digital signing signature on the signature data structure using the signature authority digital certificate, to evaluate a risk of relying on the digitally signed electronic document. | 1. A system for authenticating an electronic document having a digital signing signature enabling a relying party that receives the digitally signed electronic document to evaluate a risk of relying on the digitally signed electronic document, comprising: an electronic network configured for electronic communication among a plurality of communication devices each associated with a respective computer system operated by a certification authority, by a signature authority, and by a signing party; the certification authority computer system configured for generating by the certification authority a digital certificate certifying a cryptographic key pair of a private key and a public key for the signature authority; the signing party computer system configured for directing the signature authority to execute a to be signed electronic document for creating a digitally signed electronic document by generating a signature creation request specifying the to be signed electronic document and communicating the signature creation request through the electronic network to the signature authority computer system; the signature authority computer system having an electronic storage device that stores the private key and the digital certificate communicated by the certification authority through the electronic network to the signature authority computer system for use when constructing an electronic signature for indicating execution of the to be signed electronic document as directed by the signing party to create the digitally signed electronic document; the signature authority computer system configured for obtaining in response to a receipt of the signature creation request, a copy of the to be signed electronic document specified in the signature creation request; the signature authority computer system configured for creating a signature data structure that includes an assertion that the signature authority applies its digital signature to the to be signed electronic document for the purpose of certifying that the signing party has legally signed the to be signed document as directed in the signature creation request, the signature authority, creating the signature data structure and, with the retrieved private key and digital certificate, creating a digital signing signature covering the signature data structure and the to be signed document and resulting in a digitally signed electronic document, whereby a relying party receiving the digitally signed electronic document, relying on the signature data structure, the digital signing signature, and the signature authority digital certificate for verifying the digital signing signature on the signature data structure using the signature authority digital certificate, to evaluate a risk of relying on the digitally signed electronic document. 11. The system as recited in claim 1 , wherein the signature creation request specifies a plurality of electronic documents as each to be the to be signed electronic document respectively in sequence. | 0.539048 |
15. A system, comprising: one or more processors; and memory storing one or more applications, which, when executed on the one or more processors perform an operation for selecting a response to an audio stream query, the operation comprising: receiving, over a network, a self-support query including spoken content from a user recorded by a remote mobile device; determining a set of paralinguistic features from the spoken content; estimating an emotional state of the user based on the set of paralinguistic features; identifying text strings representing subject matter based on the spoken content in the audio stream query; determining two or more query responses corresponding to the text strings representing the subject matter; selecting, from a query response database, one of the query responses to present to the user based, at least in part, on the emotional state of the user and an uplift model used to select query responses for users with the emotional state; receiving, over the network from the remote mobile device, a user reaction to the query response; determining a favorability metric associated with the user reaction; updating the uplift model based on the attribute of the user, the user reaction and the favorability metric; and based on updating the uplift model, transmitting an additional query response to the remote mobile device, wherein the additional query response is selected based on the uplift model for users with the emotional state of the user. | 15. A system, comprising: one or more processors; and memory storing one or more applications, which, when executed on the one or more processors perform an operation for selecting a response to an audio stream query, the operation comprising: receiving, over a network, a self-support query including spoken content from a user recorded by a remote mobile device; determining a set of paralinguistic features from the spoken content; estimating an emotional state of the user based on the set of paralinguistic features; identifying text strings representing subject matter based on the spoken content in the audio stream query; determining two or more query responses corresponding to the text strings representing the subject matter; selecting, from a query response database, one of the query responses to present to the user based, at least in part, on the emotional state of the user and an uplift model used to select query responses for users with the emotional state; receiving, over the network from the remote mobile device, a user reaction to the query response; determining a favorability metric associated with the user reaction; updating the uplift model based on the attribute of the user, the user reaction and the favorability metric; and based on updating the uplift model, transmitting an additional query response to the remote mobile device, wherein the additional query response is selected based on the uplift model for users with the emotional state of the user. 20. The system of claim 15 , wherein identifying subject matter corresponding to the spoken content in the audio stream query comprises comparing the spoken content to types of subject matter in a database. | 0.537869 |
1. A computer-implemented method for extracting meaning from a plurality of documents, the method comprising: identifying, by a computer, a meaning taxonomy including a plurality of concepts; identifying a plurality of meaning loaded entities within the meaning taxonomy; identifying a group of syntactic structures including at least one normalized syntactic structure and a plurality of non-normalized syntactic structures, the at least one normalized syntactic structure being used to standardize the plurality of non-normalized syntactic structures; associating the at least one normalized syntactic structure with at least one of the plurality of concepts; associating at least one of the plurality of non-normalized syntactic structures with the at least one normalized syntactic structure; and associating at least one of the plurality of documents with the at least one of the plurality of concepts based on a relationship between the at least one of the plurality of documents and the at least one of the plurality of non-normalized syntactic structures. | 1. A computer-implemented method for extracting meaning from a plurality of documents, the method comprising: identifying, by a computer, a meaning taxonomy including a plurality of concepts; identifying a plurality of meaning loaded entities within the meaning taxonomy; identifying a group of syntactic structures including at least one normalized syntactic structure and a plurality of non-normalized syntactic structures, the at least one normalized syntactic structure being used to standardize the plurality of non-normalized syntactic structures; associating the at least one normalized syntactic structure with at least one of the plurality of concepts; associating at least one of the plurality of non-normalized syntactic structures with the at least one normalized syntactic structure; and associating at least one of the plurality of documents with the at least one of the plurality of concepts based on a relationship between the at least one of the plurality of documents and the at least one of the plurality of non-normalized syntactic structures. 9. The computer-implemented method according to claim 1 , further comprising: executing a search against the plurality of documents, the search resulting in a subset of the plurality of documents; and providing the subset of the plurality of documents to an external entity, the subset of the plurality of documents grouped by at least one concept of the plurality of concepts that is associated with at least one of the subset of the plurality of documents. | 0.515652 |
1. A computer-implemented method for generating a universal query result set, comprising: under control of one or more computer systems configured with executable instructions, receiving a query from a searching entity; submitting the query to a plurality of search indexes, each search index corresponding to a respective category of items, at least one of the plurality of search indexes utilizing at least one of a different ranking property, scale, function, or definition for ranking items relative to other search indexes; receiving one of a plurality of search index result sets from each of the plurality of search indexes in response to the query; determining a plurality of appropriateness scores each corresponding to one of the plurality of search indexes, each of the plurality of appropriateness scores indicating an appropriateness of the category of items corresponding to the respective search index with respect to the query and being based at least in part on historical queries similar to the query that were submitted to the respective search index; determining a universal item score for each of a plurality of items in the plurality of search index result sets at least in part by normalizing the at least one of the different ranking property, scale, function, and definition to a ranking scale common to all the search index result sets; for each of the plurality of items, determining a probability that the item satisfies the query based at least in part on the appropriateness score for the search index associated with the item and the universal item score for the item; including in the universal query result set ones of the plurality of items selected in an order based at least in part on the probabilities of the plurality of items satisfying the query; and providing the universal query result set to the searching entity, wherein determining the plurality of appropriateness scores comprises modifying the plurality of appropriateness scores differently based at least in part on different types of recorded actions associated with the historical queries that were submitted to a corresponding search index. | 1. A computer-implemented method for generating a universal query result set, comprising: under control of one or more computer systems configured with executable instructions, receiving a query from a searching entity; submitting the query to a plurality of search indexes, each search index corresponding to a respective category of items, at least one of the plurality of search indexes utilizing at least one of a different ranking property, scale, function, or definition for ranking items relative to other search indexes; receiving one of a plurality of search index result sets from each of the plurality of search indexes in response to the query; determining a plurality of appropriateness scores each corresponding to one of the plurality of search indexes, each of the plurality of appropriateness scores indicating an appropriateness of the category of items corresponding to the respective search index with respect to the query and being based at least in part on historical queries similar to the query that were submitted to the respective search index; determining a universal item score for each of a plurality of items in the plurality of search index result sets at least in part by normalizing the at least one of the different ranking property, scale, function, and definition to a ranking scale common to all the search index result sets; for each of the plurality of items, determining a probability that the item satisfies the query based at least in part on the appropriateness score for the search index associated with the item and the universal item score for the item; including in the universal query result set ones of the plurality of items selected in an order based at least in part on the probabilities of the plurality of items satisfying the query; and providing the universal query result set to the searching entity, wherein determining the plurality of appropriateness scores comprises modifying the plurality of appropriateness scores differently based at least in part on different types of recorded actions associated with the historical queries that were submitted to a corresponding search index. 5. A computer-implemented method according to claim 1 , wherein at least one of the historical queries is associated with a recorded action of selecting a thereby identified item for potential purchase. | 0.571579 |
1. A method of operating a computing device to execute a document authoring tool that forms an interactive document, the method comprising: with at least one processor: receiving a plurality of user inputs defining elements of the interactive document, the elements comprising: a plurality of entities to be incorporated in the interactive document; a transformation indicating a relationship between input data and output data of a first entity of the plurality of entities; a visualization for visually representing input data of a second entity of the plurality of entities, wherein the document authoring tool selects a visualization with interactivity and represents the visualization with interactivity by a third entity and a fourth entity, the third entity comprising an entity with an input and no output and the fourth entity comprising an entity with an output and no input, wherein the third entity is separate and disconnected from the fourth entity; and a plurality of edges, each of the plurality of edges indicating a data flow between two of the plurality of entities; and verifying that the plurality of edges interconnect the plurality of entities in an acyclic graph, wherein the plurality of entities are of a plurality of types. | 1. A method of operating a computing device to execute a document authoring tool that forms an interactive document, the method comprising: with at least one processor: receiving a plurality of user inputs defining elements of the interactive document, the elements comprising: a plurality of entities to be incorporated in the interactive document; a transformation indicating a relationship between input data and output data of a first entity of the plurality of entities; a visualization for visually representing input data of a second entity of the plurality of entities, wherein the document authoring tool selects a visualization with interactivity and represents the visualization with interactivity by a third entity and a fourth entity, the third entity comprising an entity with an input and no output and the fourth entity comprising an entity with an output and no input, wherein the third entity is separate and disconnected from the fourth entity; and a plurality of edges, each of the plurality of edges indicating a data flow between two of the plurality of entities; and verifying that the plurality of edges interconnect the plurality of entities in an acyclic graph, wherein the plurality of entities are of a plurality of types. 6. The method of claim 1 , wherein the transformation represents a set of equations. | 0.704198 |
12. The method of claim 10 , wherein the producing step includes incorporating the first speech input into a grammar used in the server-based speech recognition engine. | 12. The method of claim 10 , wherein the producing step includes incorporating the first speech input into a grammar used in the server-based speech recognition engine. 14. The method of claim 12 , wherein the incorporating step includes replacing a proper name in the first speech input with a corresponding name category to thereby create a modified first speech input. | 0.955474 |
11. A system enabling instantiating a database having a database schema corresponding to a unified modeling language (UML) specification, the system comprising: one or more computer processors; and one or more physical computer-readable storage devices having stored thereon computer-executable instructions that, when executed by the one or more computer processors, cause the system to perform a method, the method including: extracting a plurality of model elements from a unified modeling language (UML) specification, the unified modeling language (UML) specification being defined by a first model comprising a plurality of model elements that defines the unified modeling language (UML) specification, the first model being usable to define software system structure, software system behavior, and software system architecture for one or more particular software systems; generating at least one declarative-language coding pattern based on a plurality of transform directives, the declarative language coding pattern defining at least a portion of a database having a database schema representing the plurality of model elements defining the UML specification; translating the generated at least one declarative-language coding pattern into at least one Structured Query Language (SQL) statement that, when executed, can instantiate at least a portion of a database having a database schema representing the plurality of model elements defining the UML specification; and instantiating within a data storage system, by executing the first set of one or more SQL statements, the at least a portion of a relational database having a database schema representing the plurality of model elements defining the UML specification. | 11. A system enabling instantiating a database having a database schema corresponding to a unified modeling language (UML) specification, the system comprising: one or more computer processors; and one or more physical computer-readable storage devices having stored thereon computer-executable instructions that, when executed by the one or more computer processors, cause the system to perform a method, the method including: extracting a plurality of model elements from a unified modeling language (UML) specification, the unified modeling language (UML) specification being defined by a first model comprising a plurality of model elements that defines the unified modeling language (UML) specification, the first model being usable to define software system structure, software system behavior, and software system architecture for one or more particular software systems; generating at least one declarative-language coding pattern based on a plurality of transform directives, the declarative language coding pattern defining at least a portion of a database having a database schema representing the plurality of model elements defining the UML specification; translating the generated at least one declarative-language coding pattern into at least one Structured Query Language (SQL) statement that, when executed, can instantiate at least a portion of a database having a database schema representing the plurality of model elements defining the UML specification; and instantiating within a data storage system, by executing the first set of one or more SQL statements, the at least a portion of a relational database having a database schema representing the plurality of model elements defining the UML specification. 14. The system as in claim 11 , wherein the plurality of transform directives include at least one general transform directive applied to the first model as a whole and at least one class-specific transform directive applied to at least one of the plurality of model elements. | 0.514132 |
22. The system of claim 20 , wherein the state machine module is configured to instantiate the state machine instance by parsing a state machine definition script file, the state machine definition script file including the state machine definition and providing the information indicative of one or both of a state of the particular graphical object or a state transition of the particular graphical object. | 22. The system of claim 20 , wherein the state machine module is configured to instantiate the state machine instance by parsing a state machine definition script file, the state machine definition script file including the state machine definition and providing the information indicative of one or both of a state of the particular graphical object or a state transition of the particular graphical object. 23. The system of claim 22 , wherein the state machine definition provide the respective scripting functions having one or more tokens with script expressions therein, the one or more tokens used in the state machine definition to indicate information that is unspecified at least in part in the state machine definition, and is determined during execution; and wherein the game engine module is configured to: parse the respective scripting functions provided within the state machine definition to obtain one or more expressions including one or more of a function to be performed on the particular graphical object, a literal expression, a geographically-specified text expression, or a property of the particular graphical object; evaluate an expression obtained from the respective scripting functions; and in response, substitute the evaluated expression for the one or more tokens included in the state machine definition. | 0.823903 |
45. A computer program product comprising control logic stored in a non-transitory computer-readable storage medium, said control logic comprising: means for enabling a computing device to facilitate a user to define a plurality of indexes to increase searching performance; means for enabling said computing device to facilitate said user or another user to enter information representative of at least one IP asset having at least one of said plurality of user-defined indexes associated with or more data fields representative of said at least one IP asset; means for enabling said computing device to facilitate said user or another user to enter information representative of at least one license agreement, each license agreement associated with at least one IP asset; and means for enabling said computing device to process, in a manner specified by a received command, and by searching the at least one of said plurality of user-defined indexes, information representative of at least one of said at least one IP asset or said at least one license agreement. | 45. A computer program product comprising control logic stored in a non-transitory computer-readable storage medium, said control logic comprising: means for enabling a computing device to facilitate a user to define a plurality of indexes to increase searching performance; means for enabling said computing device to facilitate said user or another user to enter information representative of at least one IP asset having at least one of said plurality of user-defined indexes associated with or more data fields representative of said at least one IP asset; means for enabling said computing device to facilitate said user or another user to enter information representative of at least one license agreement, each license agreement associated with at least one IP asset; and means for enabling said computing device to process, in a manner specified by a received command, and by searching the at least one of said plurality of user-defined indexes, information representative of at least one of said at least one IP asset or said at least one license agreement. 46. The computer program product of claim 45 , wherein said control logic further comprises: means for enabling a computing device to facilitate a user to enter information representative of at least one royalty statement, each royalty statement associated with at least one license agreement; means for enabling said computing device to facilitate said user or another user to enter information representative of at least one payment, each payment associated with at least one license agreement; and means for facilitating said computing device to facilitate processing of, in a manner specified by a received command, information representative of at least one of: said at least one IP asset; said at least one license agreement, said at least one royalty statement; or said at least one payment. | 0.67919 |
1. A method for processing electronic documents comprising: obtaining an electronic document being sent over a network toward a destination; analyzing text content of the electronic documents to identify whether the electronic document matches any of a plurality of predefined document templates, wherein the electronic document conforms to a structure of at least one of the plurality of predefined document templates, and wherein the analyzing comprises executing at least one machine learning algorithm, the at least one machine learning algorithm trained using at least one sample electronic document having a predefined template; obtaining a document loss prevention (DLP) policy based on the at least one predefined document template associated with the electronic document, wherein the DLP policy defines at least one rule to block sending of at least one of the electronic documents if the at least one of the electronic documents matches any of the plurality of predefined document templates; and selectively allowing the electronic document to continue toward the destination based on the DLP policy. | 1. A method for processing electronic documents comprising: obtaining an electronic document being sent over a network toward a destination; analyzing text content of the electronic documents to identify whether the electronic document matches any of a plurality of predefined document templates, wherein the electronic document conforms to a structure of at least one of the plurality of predefined document templates, and wherein the analyzing comprises executing at least one machine learning algorithm, the at least one machine learning algorithm trained using at least one sample electronic document having a predefined template; obtaining a document loss prevention (DLP) policy based on the at least one predefined document template associated with the electronic document, wherein the DLP policy defines at least one rule to block sending of at least one of the electronic documents if the at least one of the electronic documents matches any of the plurality of predefined document templates; and selectively allowing the electronic document to continue toward the destination based on the DLP policy. 5. The method of claim 1 , wherein the plurality of predefined document templates were generated based on one or more predefined rules. | 0.667806 |
20. The computer-program product of claim 19 , wherein the processor is caused to perform operations comprising: retrieve multiple instances of node data from the multiple node devices, wherein the multiple instances of node data comprises the node data retrieved from the node device; and in response to the detection of a match that meets the similarity threshold between the at least one characteristic described in the current data set model and the at least one characteristic described in the at least one previously generated data set model: select at least one computer language from which to generate multiple instances of node instructions to cause each node device of the multiple node devices to perform the at least one previously performed action on a corresponding portion of the current data set, wherein in the multiple instances of node instructions comprises the node instructions transmitted to the node device; and transmit the multiple instances of node instructions to the multiple node devices. | 20. The computer-program product of claim 19 , wherein the processor is caused to perform operations comprising: retrieve multiple instances of node data from the multiple node devices, wherein the multiple instances of node data comprises the node data retrieved from the node device; and in response to the detection of a match that meets the similarity threshold between the at least one characteristic described in the current data set model and the at least one characteristic described in the at least one previously generated data set model: select at least one computer language from which to generate multiple instances of node instructions to cause each node device of the multiple node devices to perform the at least one previously performed action on a corresponding portion of the current data set, wherein in the multiple instances of node instructions comprises the node instructions transmitted to the node device; and transmit the multiple instances of node instructions to the multiple node devices. 21. The computer-program product of claim 20 , wherein the processor is caused to perform operations comprising: minimize a quantity of instances of the node instructions generated for the multiple node devices by minimizing a quantity of computer languages within the at least one computer language. | 0.94978 |
1. A computer-implemented method comprising: receiving data provided by one or more mobile computing systems configured to determine a current location and a travel speed associated with a user, the data describing the current location and the travel speed associated with the user; determining a travel status associated with the user based on the current location and the travel speed, the travel status describing a current state of a journey of the user; creating a zone of relevance for the user based on the travel status, the zone of relevance including one or more regions with each region being mapped to one or more regional circles, creating the zone of relevance including determining a regional angle and a regional length for each region based on the travel status, and generating the one or more regions based on the regional angle and the regional length; generating one or more queries for the zone of relevance; retrieving one or more query results that match the zone of relevance using the one or more queries; processing the one or more query results to generate zone information relevant to the user; and providing the zone information to the user. | 1. A computer-implemented method comprising: receiving data provided by one or more mobile computing systems configured to determine a current location and a travel speed associated with a user, the data describing the current location and the travel speed associated with the user; determining a travel status associated with the user based on the current location and the travel speed, the travel status describing a current state of a journey of the user; creating a zone of relevance for the user based on the travel status, the zone of relevance including one or more regions with each region being mapped to one or more regional circles, creating the zone of relevance including determining a regional angle and a regional length for each region based on the travel status, and generating the one or more regions based on the regional angle and the regional length; generating one or more queries for the zone of relevance; retrieving one or more query results that match the zone of relevance using the one or more queries; processing the one or more query results to generate zone information relevant to the user; and providing the zone information to the user. 2. The method of claim 1 , wherein creating the zone of relevance comprises: determining one or more circle centers and one or more radii for the one or more regional circles in each region; matching each region to the one or more corresponding regional circles that are determined by the one or more circle centers and the one or more radii; and determining the zone of relevance including the one or more regions with each region being mapped to the one or more corresponding regional circles. | 0.629297 |
6. A system for displaying a menu of commands in a video game environment, the system comprising: a microphone for receiving vocal utterances from a user; a computing device including a processor to execute game software and a speech recognition module; a speech recognition module stored in memory and executable by the processor to match a first vocal utterance from the user with an available command in a first menu of available commends and a second vocal utterance from the user with an available command in a second menu of available commands, the matched vocal utterances associated with an action to be performed in the video game environment; and game software stored in memory and executable by the processor to: cause a character to perform the action in the video game environment, the action corresponding to the combination of the matched first vocal utterance and the matched second vocal utterance, and cause the display of a menu of available commands for selection by the user and in the video game environment. | 6. A system for displaying a menu of commands in a video game environment, the system comprising: a microphone for receiving vocal utterances from a user; a computing device including a processor to execute game software and a speech recognition module; a speech recognition module stored in memory and executable by the processor to match a first vocal utterance from the user with an available command in a first menu of available commends and a second vocal utterance from the user with an available command in a second menu of available commands, the matched vocal utterances associated with an action to be performed in the video game environment; and game software stored in memory and executable by the processor to: cause a character to perform the action in the video game environment, the action corresponding to the combination of the matched first vocal utterance and the matched second vocal utterance, and cause the display of a menu of available commands for selection by the user and in the video game environment. 8. The system in claim 6 , wherein the speech recognition module is context-sensitive. | 0.924348 |
11. The method of claim 10 , further comprising rewriting the procedure call in the first command to a prefixed namespace by prepending the package namespace to the procedure call. | 11. The method of claim 10 , further comprising rewriting the procedure call in the first command to a prefixed namespace by prepending the package namespace to the procedure call. 13. The method of claim 11 , wherein the rewriting the procedure call is performed in response to a determination that the procedure call is made outside of the package. | 0.951512 |
16. Apparatus for recognizing a static handwritten word of cursive script, comprising; means for reading said word and forming a bit map of pixels representing said word; means for skeletonizing said word within said bit map; means for segmenting said skeletonized word into one or more primitives, said skeletonized word including a plurality of feature points and said primitives each comprising a continuous segment of said skeletonized word extending between an original feature point and a terminal feature point; means for forming a sequence representing the order in which said primitives were written by ordering said primitives in succession beginning at the left side of said word; and means for classifying said word by comparing said primitives and said sequence with each of a plurality of stored primitives and their associated sequences for known words, wherein said means for forming a sequence comprises: means for locating a primitive which is left-most in said word, examining said left-most primitive for the presence of one or more of said end points and designating said left-most primitive as a first primitive if it contains one or more of said end points; means for examining a primitive connected with said left-most primitive for the presence of an end point if said left-most primitive does not contain one or more of said end points, and for designating said connected primitive as said first primitive if it contains an end point and designating said left-most primitive as said first primitive if said connected primitive does not contain an end point; and means for ordinally designating as subsequent primitives each of said primitives which are connected with said first primitive and with said subsequent primitive. | 16. Apparatus for recognizing a static handwritten word of cursive script, comprising; means for reading said word and forming a bit map of pixels representing said word; means for skeletonizing said word within said bit map; means for segmenting said skeletonized word into one or more primitives, said skeletonized word including a plurality of feature points and said primitives each comprising a continuous segment of said skeletonized word extending between an original feature point and a terminal feature point; means for forming a sequence representing the order in which said primitives were written by ordering said primitives in succession beginning at the left side of said word; and means for classifying said word by comparing said primitives and said sequence with each of a plurality of stored primitives and their associated sequences for known words, wherein said means for forming a sequence comprises: means for locating a primitive which is left-most in said word, examining said left-most primitive for the presence of one or more of said end points and designating said left-most primitive as a first primitive if it contains one or more of said end points; means for examining a primitive connected with said left-most primitive for the presence of an end point if said left-most primitive does not contain one or more of said end points, and for designating said connected primitive as said first primitive if it contains an end point and designating said left-most primitive as said first primitive if said connected primitive does not contain an end point; and means for ordinally designating as subsequent primitives each of said primitives which are connected with said first primitive and with said subsequent primitive. 18. The apparatus according to claim 16, wherein said means for segmenting said skeletonized word comprises: means for tracing adjacent pixels, beginning at a first one of said points, until a second one of said points is encountered, said first and second points and said adjacent pixels thereby constituting a primitive; and means for storing the location of said first and second points and the number and direction of pixels between said first and second points. | 0.526138 |
6. A tangible computer readable storage device or storage disk comprising computer readable instructions which, when executed, cause a computing device to at least: process a video image obtained from a video signal of a device implementing a web browser to identify a first image region less than the entire video image, the first image region having a first shape corresponding to an address bar of the web browser; tag first textual information identified in the first image region as corresponding to an address of a web page displayed by the web browser in response to determining that the first textual information includes a first string of text matching a reference string of text; and report the tagged first textual information to determine usage of the web browser. | 6. A tangible computer readable storage device or storage disk comprising computer readable instructions which, when executed, cause a computing device to at least: process a video image obtained from a video signal of a device implementing a web browser to identify a first image region less than the entire video image, the first image region having a first shape corresponding to an address bar of the web browser; tag first textual information identified in the first image region as corresponding to an address of a web page displayed by the web browser in response to determining that the first textual information includes a first string of text matching a reference string of text; and report the tagged first textual information to determine usage of the web browser. 10. The storage device or storage disk as defined in claim 6 , wherein the reference string of text corresponds to at least one of: (1) a uniform resource locator (URL) scheme, (2) a start of a URL, (3) a domain suffix, (4) a sequence of at least two strings of text separated by one or more periods, or (5) a numeric internet protocol (IP) address format. | 0.738361 |
12. A system including a computer processor and comprising the following computer-executable components: a receiver component that receives a uniform resource identifier that corresponds to a web page, the uniform resource identifier included in a message to be displayed by way of a communications application; a selector component that selects an extractor definition from a plurality of extractor definitions, wherein the extractor definition is configured to indicate one or more entities that are desirably extracted from the web page, wherein the extractor definition comprises a plurality of properties for extracting a particular entity, wherein the properties have priorities corresponding thereto, and wherein the extractor component extracts the particular entity based at least in part upon the priorities corresponding to the properties; an extractor component that extracts the one or more entities from the web page as indicated in the extractor definition; a packager component that packages the one or more entities extracted from the web page in a structured data object; and a display component that displays a summary of the web page based at least in part upon the structured data object, the display component displaying the summary of the web page in the message in place of the uniform resource identifier. | 12. A system including a computer processor and comprising the following computer-executable components: a receiver component that receives a uniform resource identifier that corresponds to a web page, the uniform resource identifier included in a message to be displayed by way of a communications application; a selector component that selects an extractor definition from a plurality of extractor definitions, wherein the extractor definition is configured to indicate one or more entities that are desirably extracted from the web page, wherein the extractor definition comprises a plurality of properties for extracting a particular entity, wherein the properties have priorities corresponding thereto, and wherein the extractor component extracts the particular entity based at least in part upon the priorities corresponding to the properties; an extractor component that extracts the one or more entities from the web page as indicated in the extractor definition; a packager component that packages the one or more entities extracted from the web page in a structured data object; and a display component that displays a summary of the web page based at least in part upon the structured data object, the display component displaying the summary of the web page in the message in place of the uniform resource identifier. 16. The system of claim 12 , further comprising a filter component that filters at least some unstructured data that has been extracted from the web page through utilization of the extractor definition based at least in part upon predefined filtering criteria. | 0.589203 |
41. A computing device, comprising: force sensing means for sensing a force applied to a case of the computing device; means for receiving an electrical signal from the force sensing means; means for comparing the received electrical signal to each of a plurality of reference signal templates; means for calculating cross-correlation values of the received electrical signal and each of the plurality of reference signal templates; means for determining a best match reference signal template for the received electrical signal based on the cross-correlation values; means for identifying a functionality associated with the best match reference signal template; and means for implementing the identified functionality on the computing device. | 41. A computing device, comprising: force sensing means for sensing a force applied to a case of the computing device; means for receiving an electrical signal from the force sensing means; means for comparing the received electrical signal to each of a plurality of reference signal templates; means for calculating cross-correlation values of the received electrical signal and each of the plurality of reference signal templates; means for determining a best match reference signal template for the received electrical signal based on the cross-correlation values; means for identifying a functionality associated with the best match reference signal template; and means for implementing the identified functionality on the computing device. 59. The computing device of claim 41 , wherein the force sensing means comprises a plurality of force sensitive sensors. | 0.761829 |
2. A computer-implemented method comprising: storing one or more user profiles of users of a social networking system and a set of connections among the users, each user profile including information corresponding to at least one user interest, and wherein one or more of the user profiles includes a connection to a brand page in the social networking system, the brand page associated with an entity, the information of each user profile including at least one affinity corresponding to the at least one user interest; receiving, at the social networking system, a request from a viewing user associated with a corresponding user profile to view the brand page stored in the social networking system; retrieving one or more keywords associated with a plurality of content items posted to the brand page, at least one of the plurality of content items including an additional content message for accessing one or more additional content items, and another at least one of the plurality of content items including at least one of: information about the entity associated with the brand page, information about a brand of the brand page, and information about a product associated with a brand of the brand page, and the one or more keywords describing at least one of the brand of the brand page and the information about the product associated with the brand of the brand page, and each of the one or more keywords defined by the entity; retrieving the user profile associated with the viewing user and maintained by the social networking system; selecting, by the social networking system, content items from the plurality of content items based on: an affinity of the at least one affinity, the affinity between at least one user interest and the content items, the one or more keywords associated with each of the plurality of content items, and the information corresponding to the at least one user interest in the user profile associated with the viewing user, wherein at least one of the selected content items includes the additional content message for accessing additional content items; and presenting the selected content items to the viewing user. | 2. A computer-implemented method comprising: storing one or more user profiles of users of a social networking system and a set of connections among the users, each user profile including information corresponding to at least one user interest, and wherein one or more of the user profiles includes a connection to a brand page in the social networking system, the brand page associated with an entity, the information of each user profile including at least one affinity corresponding to the at least one user interest; receiving, at the social networking system, a request from a viewing user associated with a corresponding user profile to view the brand page stored in the social networking system; retrieving one or more keywords associated with a plurality of content items posted to the brand page, at least one of the plurality of content items including an additional content message for accessing one or more additional content items, and another at least one of the plurality of content items including at least one of: information about the entity associated with the brand page, information about a brand of the brand page, and information about a product associated with a brand of the brand page, and the one or more keywords describing at least one of the brand of the brand page and the information about the product associated with the brand of the brand page, and each of the one or more keywords defined by the entity; retrieving the user profile associated with the viewing user and maintained by the social networking system; selecting, by the social networking system, content items from the plurality of content items based on: an affinity of the at least one affinity, the affinity between at least one user interest and the content items, the one or more keywords associated with each of the plurality of content items, and the information corresponding to the at least one user interest in the user profile associated with the viewing user, wherein at least one of the selected content items includes the additional content message for accessing additional content items; and presenting the selected content items to the viewing user. 3. The computer-implemented method of claim 2 , wherein at least one keyword of the one or more keywords associated with a content item comprises targeting criteria defining one or more characteristics of a user of the social networking system eligible to be presented with the content item. | 0.636779 |
19. At least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by at least one computer, cause the at least one computer to perform: receiving, via at least one network, a first communication from a device different from the at least one computer; identifying, from the first communication, a request to access a web resource; generating an image comprising pixel values in a plurality of channels including a transparency channel, the generating comprising encoding a challenge text in the image at least in part by: generating decoding information for displaying the challenge text, the decoding information including a plurality of saturation values for a respective plurality of pixels in the image; and storing the decoding information, including the plurality of saturation values, in the transparency channel of the image; transmitting, to the device and via the at least one network, the generated image and software code that, when executed by the device, uses the decoding information to facilitate displaying of the challenge text by the device; receiving, via the at least one network, a second communication from the device; identifying, from the second communication, a response text; and providing the device with access to the web resource based on a comparison between the challenge text and the response text. | 19. At least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by at least one computer, cause the at least one computer to perform: receiving, via at least one network, a first communication from a device different from the at least one computer; identifying, from the first communication, a request to access a web resource; generating an image comprising pixel values in a plurality of channels including a transparency channel, the generating comprising encoding a challenge text in the image at least in part by: generating decoding information for displaying the challenge text, the decoding information including a plurality of saturation values for a respective plurality of pixels in the image; and storing the decoding information, including the plurality of saturation values, in the transparency channel of the image; transmitting, to the device and via the at least one network, the generated image and software code that, when executed by the device, uses the decoding information to facilitate displaying of the challenge text by the device; receiving, via the at least one network, a second communication from the device; identifying, from the second communication, a response text; and providing the device with access to the web resource based on a comparison between the challenge text and the response text. 20. The at least one non-transitory computer readable storage medium of claim 19 , wherein the software code comprises JAVASCRIPT software code for execution by an Internet browser executing on the device. | 0.531547 |
7. The system of claim 1 , wherein the test generation component further comprises a color generation component to generate or select a set of colors for manipulating the target image based at least on one of the plurality of human vision properties. | 7. The system of claim 1 , wherein the test generation component further comprises a color generation component to generate or select a set of colors for manipulating the target image based at least on one of the plurality of human vision properties. 8. The system of claim 7 , wherein the set of colors comprises at least three colors such that positive and negative data in the target image are visually differentiable while being numerically ambiguous. | 0.890616 |
11. The system of claim 10 , wherein the one or more processors are further configured to, based on the set of instructions, select the context from a plurality of contexts based on a relevance of the context to the member in comparison to a relevance of an additional context of the plurality of contexts to the member. | 11. The system of claim 10 , wherein the one or more processors are further configured to, based on the set of instructions, select the context from a plurality of contexts based on a relevance of the context to the member in comparison to a relevance of an additional context of the plurality of contexts to the member. 12. The system of claim 11 , wherein the selecting the context from the plurality of contexts is further based on information specified by the member in a profile of the member. | 0.916776 |
10. A method comprising: receiving, for an input media file, an input annotation; identifying, in a second database, (1) a set of co-occurring annotations that occur for media files associated with the input annotation, and (2) a count associated with each co-occurring annotation from the set of annotations indicating for how many media files in a first database the co-occurring annotation occurs with the input annotation, wherein the second database comprises records, each record in the comprising the count indicating the number of media files from the first database associated with the annotation and the respective co-occurring annotation; identifying, in a first database, media files similar to the input media file by retrieving media files associated with annotations, from the set of co-occurring annotations, having an associated count meeting a predefined criterion indicating a minimum number of media files in the first database for which the co-occurring annotation occurs with the input annotation; and selecting annotations associated with the similar media files that have the associated count meeting the predefined criterion to present as a list of recommended annotations for the input media file. | 10. A method comprising: receiving, for an input media file, an input annotation; identifying, in a second database, (1) a set of co-occurring annotations that occur for media files associated with the input annotation, and (2) a count associated with each co-occurring annotation from the set of annotations indicating for how many media files in a first database the co-occurring annotation occurs with the input annotation, wherein the second database comprises records, each record in the comprising the count indicating the number of media files from the first database associated with the annotation and the respective co-occurring annotation; identifying, in a first database, media files similar to the input media file by retrieving media files associated with annotations, from the set of co-occurring annotations, having an associated count meeting a predefined criterion indicating a minimum number of media files in the first database for which the co-occurring annotation occurs with the input annotation; and selecting annotations associated with the similar media files that have the associated count meeting the predefined criterion to present as a list of recommended annotations for the input media file. 12. The method of claim 10 , wherein the predefined criterion further comprises media files that have appeared in a same download transaction. | 0.583879 |
9. The method of claim 7 , further comprising: providing the ranked list of keywords to the author; and receiving an approval of the ranked list of keywords from the author prior to querying the database of potential reviewers. | 9. The method of claim 7 , further comprising: providing the ranked list of keywords to the author; and receiving an approval of the ranked list of keywords from the author prior to querying the database of potential reviewers. 10. The method of claim 9 , wherein receiving an approval of the ranked list of keywords from the author comprises reordering of the ranked list of keywords by the author. | 0.920118 |
1. A method, comprising: receiving, at one or more computing devices, information identifying a first knowledge element from a plurality of knowledge elements; for each of a plurality of similar knowledge elements: determining, by the one or more computing devices, a first value based on actions taken by a user with respect to a respective knowledge element from the plurality of similar knowledge elements, determining a second value that represents similarity of the first knowledge element to the respective knowledge element, and determining an expertise component value for the respective knowledge element based at least in part on a multiplicative product of the first value and the second value; and determining, by the one or more computing devices, an expertise value that represents the user's expertise level relative to a subject matter described by the first knowledge element based on the expertise component values for the plurality of similar knowledge elements. | 1. A method, comprising: receiving, at one or more computing devices, information identifying a first knowledge element from a plurality of knowledge elements; for each of a plurality of similar knowledge elements: determining, by the one or more computing devices, a first value based on actions taken by a user with respect to a respective knowledge element from the plurality of similar knowledge elements, determining a second value that represents similarity of the first knowledge element to the respective knowledge element, and determining an expertise component value for the respective knowledge element based at least in part on a multiplicative product of the first value and the second value; and determining, by the one or more computing devices, an expertise value that represents the user's expertise level relative to a subject matter described by the first knowledge element based on the expertise component values for the plurality of similar knowledge elements. 4. The method of claim 1 , wherein the knowledge elements include bibliographic data, and determining the first value is performed using the bibliographic data from the similar knowledge elements. | 0.521256 |
14. A system, comprising: one or more data processing apparatus; and a memory coupled to the one or more data processing apparatus having instructions stored thereon which, when executed by the data processing apparatus cause the data processing apparatus to perform operations comprising: receiving a first query associated with a user request; determining a score for a word in the first query based at least in part on a first count of activities representing user interaction with content items served for display in response to a past query that included the word and a second count of activities representing user interaction with content items served for display in response to another past query that did not include the word; selecting a keyword derived from the first query based at least in part on the score; and identifying candidate content items using the selected keyword. | 14. A system, comprising: one or more data processing apparatus; and a memory coupled to the one or more data processing apparatus having instructions stored thereon which, when executed by the data processing apparatus cause the data processing apparatus to perform operations comprising: receiving a first query associated with a user request; determining a score for a word in the first query based at least in part on a first count of activities representing user interaction with content items served for display in response to a past query that included the word and a second count of activities representing user interaction with content items served for display in response to another past query that did not include the word; selecting a keyword derived from the first query based at least in part on the score; and identifying candidate content items using the selected keyword. 18. The system of claim 14 , wherein one of the candidate content items is a search result snippet. | 0.641962 |
21. A method in a computer system for assessing the strength of an input semantic relation comprising two input words and an input relation type relating the input words, comprising: identifying a salient semantic relation having the input relation type and relating one of the input words to an intermediate word other than the other input word; determining the weight of the identified semantic relation; generating a quantitative measure of the similarity of the intermediate word and the other input word; and generating a confidence weight for the input semantic relation based upon both the generated quantitative measure of the similarity of the intermediate word and the other input word and the determined weight of the identified semantic relation determined. | 21. A method in a computer system for assessing the strength of an input semantic relation comprising two input words and an input relation type relating the input words, comprising: identifying a salient semantic relation having the input relation type and relating one of the input words to an intermediate word other than the other input word; determining the weight of the identified semantic relation; generating a quantitative measure of the similarity of the intermediate word and the other input word; and generating a confidence weight for the input semantic relation based upon both the generated quantitative measure of the similarity of the intermediate word and the other input word and the determined weight of the identified semantic relation determined. 23. The method of claim 21, further comprising determining the path weight of an artificial path comprising the identified semantic relation and a special semantic relation characterizing the level of similarity of the intermediate word and the other input word, and wherein the generating step generates a confidence weight based on the determined path weights. | 0.797659 |
25. A device comprising: a memory to store instructions; and a processor to execute the instructions to implement: means for receiving a sequence of terms; means for calculating a first value representing a coherence of terms in the sequence of terms; means for calculating a second value representing variation of context in which the sequence occurs; means for comparing the first value to a first threshold and the second value to a second threshold; means for identifying that the sequence is a semantic unit based at least in part on the first value satisfying the first threshold and second value satisfying the second threshold; and means for outputting an indication that the sequence is a semantic unit based on identifying that the sequence is a semantic unit. | 25. A device comprising: a memory to store instructions; and a processor to execute the instructions to implement: means for receiving a sequence of terms; means for calculating a first value representing a coherence of terms in the sequence of terms; means for calculating a second value representing variation of context in which the sequence occurs; means for comparing the first value to a first threshold and the second value to a second threshold; means for identifying that the sequence is a semantic unit based at least in part on the first value satisfying the first threshold and second value satisfying the second threshold; and means for outputting an indication that the sequence is a semantic unit based on identifying that the sequence is a semantic unit. 26. The system of claim 25 , where the coherence of the terms in the sequence is calculated as a likelihood ratio that defines a probability of the sequence occurring in the collection of documents relative to parts of the sequence occurring. | 0.693772 |
8. The medium of claim 7 , wherein the instructions for separating noise, graphics, handwriting, and/or touching text from validated grid line components further comprises instructions for classifying said short grid lines and said connected components that are not connected with an inverse cell component by, for each connected component C: merging C to a final table grid CC F if C is a short line and connected with CC F ; adding C to a group of all remaining black connected components if C is a short line but is not connected with CC F ; adding C the group of all remaining black connected components if C is not a short line but connected to at least one component in said group of all remaining black connected components; and merging C to CC F if C is not a short line and not connected with any component in said group of all remaining black connected components. | 8. The medium of claim 7 , wherein the instructions for separating noise, graphics, handwriting, and/or touching text from validated grid line components further comprises instructions for classifying said short grid lines and said connected components that are not connected with an inverse cell component by, for each connected component C: merging C to a final table grid CC F if C is a short line and connected with CC F ; adding C to a group of all remaining black connected components if C is a short line but is not connected with CC F ; adding C the group of all remaining black connected components if C is not a short line but connected to at least one component in said group of all remaining black connected components; and merging C to CC F if C is not a short line and not connected with any component in said group of all remaining black connected components. 9. The medium of claim 8 , wherein the instructions for separating noise, graphics, handwriting, and/or touching text from validated grid line components further comprises instructions for classifying the components in the group of all remaining black connected components into graphics, grid or text by: determining that a connected component with one dimension larger than a maximum text size is graphics; determining that a connected component with one dimension smaller than a minimum text size is a grid; checking that a connected component with text size has one round corner component and, if so, merging the round corner component into a grid; and determining that components with text size that do not have round corner components are text. | 0.665821 |
10. A computer program product for comparing a unit of streaming text data to an existing document collection in real-time, including a computer-readable medium encoded with instructions configured to be executed by a processor in order to perform predetermined operations comprising: constructing a term-by-document matrix of the existing document collection; decomposing the term-by-document matrix into a term basis matrix, a weights matrix, and a document basis matrix; determining a multidimensional term subspace of the term basis matrix; computing a vector representation of the unit of streaming text data in real-time; transforming the vector representation into a projection into the predetermined multidimensional term subspace in real-time; calculating a relationship value indicative of the relationship between the vector representation and the predetermined multidimensional term subspace in real-time, wherein the relationship value is a residual vector that quantifies the difference between the vector representation of the streaming text data document and the subspace representing the original document collection; and appending the projection of the unit of streaming text data to the existing document collection represented by the predetermined multidimensional term subspace, the existing document collection being represented by a quantity of vectors corresponding to an equivalent quantity of documents in the existing document collection, the appending being performed without determining a new multidimensional term subspace and without adding additional terms not originally included in the term basis matrix, the appending being performed when it is determined that a relationship exists between the streaming text data and the predetermined multidimensional term subspace, wherein the relationship exists when the residual vector is less than a threshold. | 10. A computer program product for comparing a unit of streaming text data to an existing document collection in real-time, including a computer-readable medium encoded with instructions configured to be executed by a processor in order to perform predetermined operations comprising: constructing a term-by-document matrix of the existing document collection; decomposing the term-by-document matrix into a term basis matrix, a weights matrix, and a document basis matrix; determining a multidimensional term subspace of the term basis matrix; computing a vector representation of the unit of streaming text data in real-time; transforming the vector representation into a projection into the predetermined multidimensional term subspace in real-time; calculating a relationship value indicative of the relationship between the vector representation and the predetermined multidimensional term subspace in real-time, wherein the relationship value is a residual vector that quantifies the difference between the vector representation of the streaming text data document and the subspace representing the original document collection; and appending the projection of the unit of streaming text data to the existing document collection represented by the predetermined multidimensional term subspace, the existing document collection being represented by a quantity of vectors corresponding to an equivalent quantity of documents in the existing document collection, the appending being performed without determining a new multidimensional term subspace and without adding additional terms not originally included in the term basis matrix, the appending being performed when it is determined that a relationship exists between the streaming text data and the predetermined multidimensional term subspace, wherein the relationship exists when the residual vector is less than a threshold. 12. The computer program product of claim 10 , wherein the step of computing further comprises statistically transforming the term frequency according to a predetermined statistical transformation policy. | 0.577483 |
22. The computer readable storage medium of claim 21 , where said detecting a user request to store said view statistic comprises detecting a completeness level request for said view statistic, and said step of collecting said view statistic collects said view statistic to said requested completeness level. | 22. The computer readable storage medium of claim 21 , where said detecting a user request to store said view statistic comprises detecting a completeness level request for said view statistic, and said step of collecting said view statistic collects said view statistic to said requested completeness level. 23. The computer readable storage medium of claim 22 where said using said view statistic to estimate the cost of said candidate plan comprises using said requested completeness level to determine the accuracy of said cost estimation. | 0.91197 |
1. A computer-implemented method of normalizing item recommendation scores, the method comprising: by a computer system comprising computer hardware: assigning scores to candidate recommendations with first and second recommenders, the first recommender configured to assign first scores to a first portion of the candidate recommendations, the second recommender configured to assign second scores to a second portion of the candidate recommendations using a different scoring scale than the first recommender; outputting the scores from each of the recommenders to a normalization engine; for each recommender, normalizing the scores output by the recommender with the normalization engine by at least: combining the scores for at least some of the candidate recommendations to generate a combined score, said combining comprising computing a moving average of at least some of the scores, and calculating normalized scores based at least in part on the combined score and the scores for at least some of the candidate recommendations; and using the normalized scores to select at least a portion of the candidate recommendations to recommend to the target user. | 1. A computer-implemented method of normalizing item recommendation scores, the method comprising: by a computer system comprising computer hardware: assigning scores to candidate recommendations with first and second recommenders, the first recommender configured to assign first scores to a first portion of the candidate recommendations, the second recommender configured to assign second scores to a second portion of the candidate recommendations using a different scoring scale than the first recommender; outputting the scores from each of the recommenders to a normalization engine; for each recommender, normalizing the scores output by the recommender with the normalization engine by at least: combining the scores for at least some of the candidate recommendations to generate a combined score, said combining comprising computing a moving average of at least some of the scores, and calculating normalized scores based at least in part on the combined score and the scores for at least some of the candidate recommendations; and using the normalized scores to select at least a portion of the candidate recommendations to recommend to the target user. 2. The method of claim 1 , wherein said translating at least some of the scores comprises translating at least some of the scores by a difference between a minimum score and the desired normalized minimum score in response to determining that the minimum score differs from the desired normalized minimum score. | 0.5 |
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