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8,185,606 | 16 | 17 |
16. The computer program product of claim 15 , wherein the computer executable program code for parsing the received email with a second parser comprises: computer executable program code for selectively and programmatically enabling the capability of the second parser to parse the annotated portion.
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16. The computer program product of claim 15 , wherein the computer executable program code for parsing the received email with a second parser comprises: computer executable program code for selectively and programmatically enabling the capability of the second parser to parse the annotated portion. 17. The computer program product of claim 16 , wherein the computer executable program code for selectively and programmatically enabling further comprises: computer executable program code for selection through a set of controls, the controls managing selective and programmatic enablement according to a set of criteria comprising sending user, email topic, email priority and receiving user.
| 0.5 |
8,351,706 | 4 | 5 |
4. The document extracting apparatus according to claim 2 , wherein the document data obtaining step obtains a plurality of pieces of input document data, wherein the judgment step judges, for each of a plurality of pieces of the input document data, similarity between the stored document data and the input document data, and wherein when document index associated with document data highly similar to each of a plurality of pieces of the input document data is identical to each other, the document data extracting step extracts a plurality of pieces of document data corresponding to a plurality of pages included in a document indicated by the document index.
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4. The document extracting apparatus according to claim 2 , wherein the document data obtaining step obtains a plurality of pieces of input document data, wherein the judgment step judges, for each of a plurality of pieces of the input document data, similarity between the stored document data and the input document data, and wherein when document index associated with document data highly similar to each of a plurality of pieces of the input document data is identical to each other, the document data extracting step extracts a plurality of pieces of document data corresponding to a plurality of pages included in a document indicated by the document index. 5. The document extracting apparatus according to claim 4 , the apparatus further comprising: requesting further input document data when a plurality of document indices associated with document data highly similar to input document data have been obtained, or when a plurality of document indices common to a plurality of pieces of the input document data, among document indices associated with document data highly similar to each of a plurality of pieces of the input document data, have been obtained.
| 0.5 |
9,092,826 | 11 | 22 |
11. The method of claim 1 , further comprising: maintaining a plurality of photographs for the first user in the profile store of the first user, wherein a subset of the photographs comprise an element indicating an association of the second user with the biographical information item; selecting two or more most photographs as most relevant to second user based at least in part on the element indicating an association of the second user with the two or more photographs; concatenating the two or more selected most relevant photographs to include with the short biography for the first user; and providing the concatenated photographs with the short biography to the second user for display in connection with the first user's profile page.
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11. The method of claim 1 , further comprising: maintaining a plurality of photographs for the first user in the profile store of the first user, wherein a subset of the photographs comprise an element indicating an association of the second user with the biographical information item; selecting two or more most photographs as most relevant to second user based at least in part on the element indicating an association of the second user with the two or more photographs; concatenating the two or more selected most relevant photographs to include with the short biography for the first user; and providing the concatenated photographs with the short biography to the second user for display in connection with the first user's profile page. 22. The method of claim 11 , wherein the selecting of the two or more most relevant biographical information items and the two or more most relevant photographs is based on relevance of the two or more items and two or more photographs to the second user.
| 0.5 |
10,141,023 | 1 | 2 |
1. A method for multimedia summary generation adapted to a multimedia system, wherein the method comprises following steps: capturing a multimedia information from a multimedia source, wherein the multimedia information comprises at least a video clip or a picture; processing the video clip or the picture of the multimedia information according to a predetermined condition to generate a multimedia summary candidate, wherein the predetermined condition comprises at least a system setting value, an overlapping time, a maximum video clip length, a minimum video clip length, a people capturing ratio or a combination thereof, for determining a start point and an end point of the video clip, wherein the predetermined condition further comprises screening video clips and pictures similar to the video clip and the picture from the multimedia information by using a clustering algorithm to form a multimedia summary candidate group; generating a multimedia summary list by checking whether a threshold is predetermined; outputting the multimedia summary candidate to join the multimedia summary list when no threshold is predetermined, checking whether the multimedia summary candidate meets the predetermined threshold when the threshold is predetermined; joining the multimedia summary candidate to the multimedia summary list when the multimedia summary candidate meets the predetermined threshold; ignoring the multimedia summary candidate when the multimedia summary candidate does not meet the predetermined threshold; combining the multimedia summary candidate in the multimedia summary candidate list to generate a multimedia summary; and sending message of the video clips and pictures similar to the video clip and the picture from the multimedia information to generate an Internet spread website via the Internet after forming the multimedia summary candidate group, wherein the predetermined threshold is realizable at least by a number of users selecting the multimedia summary candidate, a ratio of the number of users selecting the multimedia summary candidate or a combination thereof.
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1. A method for multimedia summary generation adapted to a multimedia system, wherein the method comprises following steps: capturing a multimedia information from a multimedia source, wherein the multimedia information comprises at least a video clip or a picture; processing the video clip or the picture of the multimedia information according to a predetermined condition to generate a multimedia summary candidate, wherein the predetermined condition comprises at least a system setting value, an overlapping time, a maximum video clip length, a minimum video clip length, a people capturing ratio or a combination thereof, for determining a start point and an end point of the video clip, wherein the predetermined condition further comprises screening video clips and pictures similar to the video clip and the picture from the multimedia information by using a clustering algorithm to form a multimedia summary candidate group; generating a multimedia summary list by checking whether a threshold is predetermined; outputting the multimedia summary candidate to join the multimedia summary list when no threshold is predetermined, checking whether the multimedia summary candidate meets the predetermined threshold when the threshold is predetermined; joining the multimedia summary candidate to the multimedia summary list when the multimedia summary candidate meets the predetermined threshold; ignoring the multimedia summary candidate when the multimedia summary candidate does not meet the predetermined threshold; combining the multimedia summary candidate in the multimedia summary candidate list to generate a multimedia summary; and sending message of the video clips and pictures similar to the video clip and the picture from the multimedia information to generate an Internet spread website via the Internet after forming the multimedia summary candidate group, wherein the predetermined threshold is realizable at least by a number of users selecting the multimedia summary candidate, a ratio of the number of users selecting the multimedia summary candidate or a combination thereof. 2. The method according to claim 1 , wherein the multimedia summary candidate is realized by the processed video clip and the processed picture.
| 0.811518 |
9,819,858 | 1 | 6 |
1. A method for capturing videos, comprising: setting a video capture class in a framework layer of a first programming language, the video capture class inheriting a class in a video capture bottom layer library and registering a callback function for the video capture bottom layer library; receiving, by the video capture class, a video capture command sent by an application in an application layer of a second programming language other than the first programming language; sending, by the video capture class, the video capture command to the video capture bottom layer library which starts to capture video data according to the video capture command; obtaining, by the video capture class, the video data from the video capture bottom layer library by using the callback function; sending, by the video capture class, the video data to an encoder which is pre-set in the framework layer of the first programming language and instructing the encoder to encode the video data; and providing, by video capture class, video data codes obtained by the encoder to the application in the application layer.
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1. A method for capturing videos, comprising: setting a video capture class in a framework layer of a first programming language, the video capture class inheriting a class in a video capture bottom layer library and registering a callback function for the video capture bottom layer library; receiving, by the video capture class, a video capture command sent by an application in an application layer of a second programming language other than the first programming language; sending, by the video capture class, the video capture command to the video capture bottom layer library which starts to capture video data according to the video capture command; obtaining, by the video capture class, the video data from the video capture bottom layer library by using the callback function; sending, by the video capture class, the video data to an encoder which is pre-set in the framework layer of the first programming language and instructing the encoder to encode the video data; and providing, by video capture class, video data codes obtained by the encoder to the application in the application layer. 6. The method of claim 1 , wherein the video capture bottom layer library starts to capturing video data according to the video capture command comprises: capturing, by the video capturing bottom layer library, the video data by using a camera hardware service library in response to the video capture command.
| 0.722222 |
9,563,680 | 1 | 7 |
1. A method for integrating a document from a first document repository to another document repository in a cloud computing environment, the method comprising: receiving by a server a configuration setup file including information identifying a source document repository, a destination document repository located in a cloud computing environment, and at least one web portal; receiving by the server an indication to upload a document from the source document repository to the destination document repository; in response to receiving the indication, retrieving automatically by the server the document from the source document repository, wherein the document is formatted in a first format; converting automatically by the server the document from the first format to a second format; identifying automatically by the server at least one static object in the converted document; transmitting the at least one static object associated with the converted document to the at least one web portal; and transmitting the converted document to the destination document repository, wherein the converted document is accessed via the at least one web portal.
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1. A method for integrating a document from a first document repository to another document repository in a cloud computing environment, the method comprising: receiving by a server a configuration setup file including information identifying a source document repository, a destination document repository located in a cloud computing environment, and at least one web portal; receiving by the server an indication to upload a document from the source document repository to the destination document repository; in response to receiving the indication, retrieving automatically by the server the document from the source document repository, wherein the document is formatted in a first format; converting automatically by the server the document from the first format to a second format; identifying automatically by the server at least one static object in the converted document; transmitting the at least one static object associated with the converted document to the at least one web portal; and transmitting the converted document to the destination document repository, wherein the converted document is accessed via the at least one web portal. 7. The method of claim 1 further comprising providing by the server a plurality of conversion modules associated with a plurality of formats, wherein each conversion module is configured to convert the document from the first format to the format associated with the conversion module.
| 0.733146 |
9,372,540 | 2 | 3 |
2. The electronic device of claim 1 , wherein the plurality of display regions display at least two different types of content.
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2. The electronic device of claim 1 , wherein the plurality of display regions display at least two different types of content. 3. The electronic device of claim 2 , wherein the different types of content include a video signal, a webpage, an image, and an application.
| 0.5 |
6,067,348 | 4 | 5 |
4. The apparatus of claim 1, wherein said plurality of personal greeting root name segments includes a generic greeting that can be used when no first or last name can be matched to an intended recipient.
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4. The apparatus of claim 1, wherein said plurality of personal greeting root name segments includes a generic greeting that can be used when no first or last name can be matched to an intended recipient. 5. The apparatus of claim 4, wherein said message body is contained within said storage area.
| 0.772059 |
9,710,459 | 1 | 5 |
1. A computer-implemented method for communication monitoring based on sentiment, comprising: monitoring a new communication prior to sending created by a sender to a recipient, wherein the new communication comprises text input by the sender; analyzing the text of the new communication using sentiment analysis and determining a sentiment score on a scale between negative sentiment and positive sentiment; referencing an overall relationship score based on past communications between the sender and the recipient in response to the sentiment score for the text of the new communication being on a negative side of a first predefined threshold on the scale; holding a transmission of the new communication or activating another action in response to the overall relationship score being on the negative side of a second predefined threshold; and sending a notification to at least one of the sender or a supervisor of the sender in response to the overall relationship score being on the negative side of the second predefined threshold.
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1. A computer-implemented method for communication monitoring based on sentiment, comprising: monitoring a new communication prior to sending created by a sender to a recipient, wherein the new communication comprises text input by the sender; analyzing the text of the new communication using sentiment analysis and determining a sentiment score on a scale between negative sentiment and positive sentiment; referencing an overall relationship score based on past communications between the sender and the recipient in response to the sentiment score for the text of the new communication being on a negative side of a first predefined threshold on the scale; holding a transmission of the new communication or activating another action in response to the overall relationship score being on the negative side of a second predefined threshold; and sending a notification to at least one of the sender or a supervisor of the sender in response to the overall relationship score being on the negative side of the second predefined threshold. 5. The method as claimed in claim 1 , wherein multiple communication channel sources comprise sources from a group of: email communication channels, instant messaging communication channels, short message service communication channels, social media network communication channels, online forum channels, and other forms of communication channel sent from a computing device or mobile communication device.
| 0.5 |
8,260,785 | 1 | 8 |
1. A computer implemented method comprising: at a computer system including one or more processors and memory storing one or more programs, the one or more processors executing the one or more programs to perform the operations of: storing a plurality of objects in a fact repository, wherein the objects are associated with facts, each fact having one or more terms; modifying one or more of the facts in the fact repository, including automatically, without user intervention: establishing a list of object names of objects in the fact repository, wherein the list of object names is stored as a hash table; for a respective fact having multiple terms, comparing a respective phrase-identification metric for each of a plurality of different combinations of terms in the respective fact to identify one or more candidate phrases; checking at least a subset of the candidate phrases against the list of object names, wherein checking the candidate phrases against the list of object names includes determining, for each respective candidate phrase whether a hash of the respective candidate phrase collides with a value in the hash table; and for each fact in of a plurality of respective candidate phrases that match respective object names in the list of object names, constructing a respective search link for a respective fact corresponding to the respective candidate phrase, and storing the respective search link at a location associated with the respective fact in the fact repository, wherein selection of a representation of the respective search link invokes performance of a search query against the fact repository, the search query including one or more search criteria that include the respective object name corresponding to the respective candidate phrase; and after modifying the facts in the fact repository, in accordance with a determination that one or more predefined criteria have been met, automatically repeating, without user intervention, the steps of establishing a list of object names from a plurality of name facts, identifying candidate phrases, checking candidate phrases against the list of object names and constructing and storing search links in the fact repository.
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1. A computer implemented method comprising: at a computer system including one or more processors and memory storing one or more programs, the one or more processors executing the one or more programs to perform the operations of: storing a plurality of objects in a fact repository, wherein the objects are associated with facts, each fact having one or more terms; modifying one or more of the facts in the fact repository, including automatically, without user intervention: establishing a list of object names of objects in the fact repository, wherein the list of object names is stored as a hash table; for a respective fact having multiple terms, comparing a respective phrase-identification metric for each of a plurality of different combinations of terms in the respective fact to identify one or more candidate phrases; checking at least a subset of the candidate phrases against the list of object names, wherein checking the candidate phrases against the list of object names includes determining, for each respective candidate phrase whether a hash of the respective candidate phrase collides with a value in the hash table; and for each fact in of a plurality of respective candidate phrases that match respective object names in the list of object names, constructing a respective search link for a respective fact corresponding to the respective candidate phrase, and storing the respective search link at a location associated with the respective fact in the fact repository, wherein selection of a representation of the respective search link invokes performance of a search query against the fact repository, the search query including one or more search criteria that include the respective object name corresponding to the respective candidate phrase; and after modifying the facts in the fact repository, in accordance with a determination that one or more predefined criteria have been met, automatically repeating, without user intervention, the steps of establishing a list of object names from a plurality of name facts, identifying candidate phrases, checking candidate phrases against the list of object names and constructing and storing search links in the fact repository. 8. The method of claim 1 , further comprising: displaying an object including the respective fact, the object including the object name as the anchor of the respective search link for the respective fact; responsive to receiving a selection of the respective search link, providing the search query to a search engine for retrieving objects having a name fact that matches the object name included in the search criteria of the respective search link; receiving from the search engine at least one search result including an object having an object name that matches the object name included in the search criteria of the respective search link; and displaying the received object.
| 0.5 |
7,574,426 | 19 | 20 |
19. One or more computer memories collectively storing a search engine index data structure and, for each of a plurality of items indexed by the search engine index data structure, comprising: at least one substantive field containing query terms that are among data or metadata of the item; and at least one item selection field containing one or more query terms, each of the one or more query terms contained in the at least one item selection field being a query term that, when included in queries whose search results contain the item, frequently coincide with a user selecting the item from such search results, the one or more query terms in the at least one item selection field being repeated a number of times representing a level of relevance of each of the one or more query terms to the item, the level of relevance based at least in part upon a number of users having selected the item from the search results, the contents of the search engine data structure being usable by any search engine, able to use the index data structure to generate search results, to determine an ordered set of items relating to a received query, an order of the ordered set of items being determined at least in part by generating a ranking score for each item in the ordered set of items, the ranking score being generated for each item in the ordered set of items by assigning a field score for each occurrence of one of the one or more query terms in the at least one item selection field and the at least one substantive field and summing the field scores for each item, wherein the search engine is able to generate the search results without modifying operation of the search engine.
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19. One or more computer memories collectively storing a search engine index data structure and, for each of a plurality of items indexed by the search engine index data structure, comprising: at least one substantive field containing query terms that are among data or metadata of the item; and at least one item selection field containing one or more query terms, each of the one or more query terms contained in the at least one item selection field being a query term that, when included in queries whose search results contain the item, frequently coincide with a user selecting the item from such search results, the one or more query terms in the at least one item selection field being repeated a number of times representing a level of relevance of each of the one or more query terms to the item, the level of relevance based at least in part upon a number of users having selected the item from the search results, the contents of the search engine data structure being usable by any search engine, able to use the index data structure to generate search results, to determine an ordered set of items relating to a received query, an order of the ordered set of items being determined at least in part by generating a ranking score for each item in the ordered set of items, the ranking score being generated for each item in the ordered set of items by assigning a field score for each occurrence of one of the one or more query terms in the at least one item selection field and the at least one substantive field and summing the field scores for each item, wherein the search engine is able to generate the search results without modifying operation of the search engine. 20. The computer memories of claim 19 wherein the item selection field contains a number of occurrences of each term that is directly related to the relative rate of selection for each of the terms.
| 0.5 |
10,025,454 | 13 | 14 |
13. A non-transitory computer-readable storage medium including instructions that, when executed by a processor, cause the processor to provide a mechanism for navigating a software application, by performing the steps of: generating a first graphic that includes a first wheel configured to allow a first user to navigate a software application, wherein the first wheel has a first plurality of activation zones, and each activation zone included in the first plurality of activation zones is associated with a different function in a first plurality of functions for navigating the software application, generating a second graphic that includes a second wheel configured to allow a second user to navigate the software application, wherein the second wheel has a second plurality of activation zones that comprises a superset of the first plurality of activation zones, and a portion of the activation zones included in the second plurality of activation zones is associated with different functions in a second plurality of functions for navigating the software application that are not included in the first plurality of function, and displaying at least one of the first graphic and the second graphic, generating a mini wheel, distinct from the first wheel and the second wheel, wherein the mini wheel is a miniaturized version of the second wheel and includes the second plurality of activation zones and corresponding functions from the first plurality and the second plurality of functions, displaying the mini wheel as a pie menu at a position of a cursor, wherein the cursor is hidden when the mini wheel is displayed, wherein the mini wheel has a third plurality of activation zones; responsive to a first input, highlighting a first activation zone located the third plurality of activation zones that corresponds to a direction of a movement of an input device and highlighting a command that corresponds to the first activation zone, responsive to a second input, displaying a tool cursor associated with the first activation zone and remove the mini wheel from the display, responsive to a third input, executing a first function that is included in either the first plurality of functions or the second plurality of functions and is associated with the first activation zone to modify the software application, and responsive to a fourth input, replacing the displayed tool cursor with the mini wheel.
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13. A non-transitory computer-readable storage medium including instructions that, when executed by a processor, cause the processor to provide a mechanism for navigating a software application, by performing the steps of: generating a first graphic that includes a first wheel configured to allow a first user to navigate a software application, wherein the first wheel has a first plurality of activation zones, and each activation zone included in the first plurality of activation zones is associated with a different function in a first plurality of functions for navigating the software application, generating a second graphic that includes a second wheel configured to allow a second user to navigate the software application, wherein the second wheel has a second plurality of activation zones that comprises a superset of the first plurality of activation zones, and a portion of the activation zones included in the second plurality of activation zones is associated with different functions in a second plurality of functions for navigating the software application that are not included in the first plurality of function, and displaying at least one of the first graphic and the second graphic, generating a mini wheel, distinct from the first wheel and the second wheel, wherein the mini wheel is a miniaturized version of the second wheel and includes the second plurality of activation zones and corresponding functions from the first plurality and the second plurality of functions, displaying the mini wheel as a pie menu at a position of a cursor, wherein the cursor is hidden when the mini wheel is displayed, wherein the mini wheel has a third plurality of activation zones; responsive to a first input, highlighting a first activation zone located the third plurality of activation zones that corresponds to a direction of a movement of an input device and highlighting a command that corresponds to the first activation zone, responsive to a second input, displaying a tool cursor associated with the first activation zone and remove the mini wheel from the display, responsive to a third input, executing a first function that is included in either the first plurality of functions or the second plurality of functions and is associated with the first activation zone to modify the software application, and responsive to a fourth input, replacing the displayed tool cursor with the mini wheel. 14. The computer-readable storage medium of claim 13 , wherein the first graphic further includes a text graphic describing a cursor tracking behavior of the first wheel, and wherein the second graphic further includes a text graphic describing a cursor tracking behavior of the second wheel.
| 0.7154 |
10,061,847 | 10 | 14 |
10. A non-transitory computer-readable storage medium storing instructions that, when executed by a processor of a device, cause the processor to perform operations comprising: receiving, by a personal agent executing on the device, personal information relating to a user of the device, the personal information being provided by a plurality of trusted components included in a plurality of applications executing on the device, wherein the personal information comprises location information obtained by one or more location sensors of the device; accessing, by the personal agent, one or more interest ontologies from one or more first content providers; generating, by the personal agent based on the personal information, a personal ontology graph for the user, the personal ontology graph comprising location nodes relating to the user derived from at least one or more inferences based on the location information and the one or more interest ontologies; receiving, by the personal agent, a plurality of first content items from the one or more first content providers; receiving, by the personal agent, an objective function from a second content provider; selecting, by the personal agent, based at least in part on the personal ontology graph and the objective function, a content item of the plurality of first content items for rendering in connection with a second content item associated with the second content provider; and rendering, by the device, the selected content item of the first content items in connection with the second content item, wherein the personal ontology graph further comprises at least one attribute of an edge associating a node representing the user with a node representing an interest.
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10. A non-transitory computer-readable storage medium storing instructions that, when executed by a processor of a device, cause the processor to perform operations comprising: receiving, by a personal agent executing on the device, personal information relating to a user of the device, the personal information being provided by a plurality of trusted components included in a plurality of applications executing on the device, wherein the personal information comprises location information obtained by one or more location sensors of the device; accessing, by the personal agent, one or more interest ontologies from one or more first content providers; generating, by the personal agent based on the personal information, a personal ontology graph for the user, the personal ontology graph comprising location nodes relating to the user derived from at least one or more inferences based on the location information and the one or more interest ontologies; receiving, by the personal agent, a plurality of first content items from the one or more first content providers; receiving, by the personal agent, an objective function from a second content provider; selecting, by the personal agent, based at least in part on the personal ontology graph and the objective function, a content item of the plurality of first content items for rendering in connection with a second content item associated with the second content provider; and rendering, by the device, the selected content item of the first content items in connection with the second content item, wherein the personal ontology graph further comprises at least one attribute of an edge associating a node representing the user with a node representing an interest. 14. The non-transitory computer-readable storage medium of claim 10 , wherein the personal information comprises activity information relating to activities performed by the user.
| 0.780098 |
9,600,543 | 1 | 4 |
1. A machine-implemented method, comprising: receiving an indication of a request from a user to view a stream associated with the user; generating a request for one or more items, of a plurality of items, that are visible to the user for display within the stream, wherein each of the plurality of items includes one or more user tokens up to a threshold number of user tokens, the one or more user tokens indicate viewability of the item by users associated with the one or more user tokens, wherein the request comprises a search query identifying search criteria including one or more tokens up to a threshold number of tokens, the one or more tokens includes at least a user token identifying the user, and wherein generating the request comprises: determining that a super followee token is to be included in the search query, the super followee token corresponding to a super followee user that owns an item visible to a number of users that meets a threshold number of users, replacing the super followee token with a super doc token when the included super followee token causes the one or more tokens to exceed the threshold number of tokens, the super doc token identifying a type of item owned by the super followee user; receiving one or more items in response to the request, the one or more items including at least one of the one or more tokens and further being visible to the user; and providing the one or more items for display to the user within the stream in response to the request.
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1. A machine-implemented method, comprising: receiving an indication of a request from a user to view a stream associated with the user; generating a request for one or more items, of a plurality of items, that are visible to the user for display within the stream, wherein each of the plurality of items includes one or more user tokens up to a threshold number of user tokens, the one or more user tokens indicate viewability of the item by users associated with the one or more user tokens, wherein the request comprises a search query identifying search criteria including one or more tokens up to a threshold number of tokens, the one or more tokens includes at least a user token identifying the user, and wherein generating the request comprises: determining that a super followee token is to be included in the search query, the super followee token corresponding to a super followee user that owns an item visible to a number of users that meets a threshold number of users, replacing the super followee token with a super doc token when the included super followee token causes the one or more tokens to exceed the threshold number of tokens, the super doc token identifying a type of item owned by the super followee user; receiving one or more items in response to the request, the one or more items including at least one of the one or more tokens and further being visible to the user; and providing the one or more items for display to the user within the stream in response to the request. 4. The method of claim 1 , wherein the super doc token is associated with a set of filter criteria.
| 0.927737 |
9,798,774 | 17 | 20 |
17. The apparatus according to claim 16 , wherein the instructions further cause the processor to be configured to: store the start query node in the query node and the start graph node into the storage space again, and adjust a value of the dynamic reduction parameter to a second preset value when the reduction subgraph changes; and continue to read the query node and the graph node matching the query node stored in the storage space, until the quantity of query nodes and the quantity of graph nodes matching the query nodes are 0, or until the query node and the graph node matching the query node that are stored in the storage space are marked.
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17. The apparatus according to claim 16 , wherein the instructions further cause the processor to be configured to: store the start query node in the query node and the start graph node into the storage space again, and adjust a value of the dynamic reduction parameter to a second preset value when the reduction subgraph changes; and continue to read the query node and the graph node matching the query node stored in the storage space, until the quantity of query nodes and the quantity of graph nodes matching the query nodes are 0, or until the query node and the graph node matching the query node that are stored in the storage space are marked. 20. The apparatus according to claim 17 , wherein the instructions further cause the processor to be configured to: obtain auxiliary information of each roadmap node in the roadmap node tree according to the query condition; determine, according to the auxiliary information of the roadmap node, a path policy in order to obtain the first to-be-queried graph node; and search the roadmap node tree according to the path policy in order to obtain the first to-be-queried graph node.
| 0.5 |
9,836,678 | 5 | 7 |
5. A barcoded quality indicator operative to provide a machine-readable indication of exceedance of at least one threshold by at least one product quality affecting parameter, said barcoded quality indicator including: a first machine-readable visible state prior to actuation thereof; a second machine-readable visible state, different from said first machine-readable visible state, following actuation thereof and prior to exceedance of said at least one threshold by said at least one product quality affecting parameter; and at least one third machine-readable visible state, different from said first machine-readable visible state and different from said second machine-readable visible state, following actuation thereof and following exceedance of said at least one threshold by said at least one product quality affecting parameter.
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5. A barcoded quality indicator operative to provide a machine-readable indication of exceedance of at least one threshold by at least one product quality affecting parameter, said barcoded quality indicator including: a first machine-readable visible state prior to actuation thereof; a second machine-readable visible state, different from said first machine-readable visible state, following actuation thereof and prior to exceedance of said at least one threshold by said at least one product quality affecting parameter; and at least one third machine-readable visible state, different from said first machine-readable visible state and different from said second machine-readable visible state, following actuation thereof and following exceedance of said at least one threshold by said at least one product quality affecting parameter. 7. A barcoded quality indicator according to claim 5 and wherein one of said at least one product quality affecting parameters is time.
| 0.802632 |
10,133,736 | 10 | 11 |
10. The computer program product of claim 9 , further comprising program code executable by a processing unit to assign the match to the replaced anaphora in the created sentence structure.
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10. The computer program product of claim 9 , further comprising program code executable by a processing unit to assign the match to the replaced anaphora in the created sentence structure. 11. The computer program product of claim 10 , wherein the sentence structure with the assigned match is a solved analogy association.
| 0.5 |
7,643,732 | 13 | 14 |
13. An apparatus for decoding a text subtitle stream recorded on a recording medium, the method comprising: a subtitle loading buffer configured to load the text subtitle stream, the loaded text subtitle stream including a style segment defining at least one region style and at least one presentation segment, each of the at least one presentation segment containing at least one region of text and being linked to one of the at least one region style, the style segment further defining at least one set of user control style for each of the at least one region style, each of the at least one set of user control style including at least one user control style being selectable for changing at least one of region presentation properties specified by a corresponding region style; and a text subtitle decoder configured to decode each of the at least one presentation segment using the linked region style and one of the at least one user control style, wherein the style segment includes a player style flag indicating whether a player is permitted to use its own player style in addition to at least one region style defined in the style segment of the text subtitle stream in the recording medium, wherein each of the at least one set of user control style specifies a direction and a delta of a change in the at least one of region presentation properties specified by the corresponding region style.
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13. An apparatus for decoding a text subtitle stream recorded on a recording medium, the method comprising: a subtitle loading buffer configured to load the text subtitle stream, the loaded text subtitle stream including a style segment defining at least one region style and at least one presentation segment, each of the at least one presentation segment containing at least one region of text and being linked to one of the at least one region style, the style segment further defining at least one set of user control style for each of the at least one region style, each of the at least one set of user control style including at least one user control style being selectable for changing at least one of region presentation properties specified by a corresponding region style; and a text subtitle decoder configured to decode each of the at least one presentation segment using the linked region style and one of the at least one user control style, wherein the style segment includes a player style flag indicating whether a player is permitted to use its own player style in addition to at least one region style defined in the style segment of the text subtitle stream in the recording medium, wherein each of the at least one set of user control style specifies a direction and a delta of a change in the at least one of region presentation properties specified by the corresponding region style. 14. The apparatus of claim 13 , wherein the subtitle loading buffer is configured to load the text subtitle stream including the style segment which includes a data field indicating a number of the set of the at least one user control style defined in the style segment for each of the least one region style.
| 0.671975 |
7,752,598 | 17 | 18 |
17. An article of manufacture comprising a computer readable storage medium having code executed to generate methods deployed at a server and invoked by a client application, wherein the code causes operations to be performed, the operations comprising: receiving a file including code defining a class implementing at least one method in an information model for a device management schema and wherein one of the at least one method relates to device management operations with respect to a device; translating the file to produce an object oriented implementation of the class and the at least one method for the device management operations for the device in an object oriented programming (OOP) language file; adding protocol statements of the information model to the OOP file to enable the client application to invoke the at least one method on the server to perform the device management operations with respect to the device; and compiling the OOP file to produce an executable object capable of being invoked by a call to a method invocation statement, wherein the client application calling the method invocation statement causes execution of the protocol statements and the at least one method in the executable object to invoke the at least one method on the server to cause the device management operations of the method with respect to the device.
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17. An article of manufacture comprising a computer readable storage medium having code executed to generate methods deployed at a server and invoked by a client application, wherein the code causes operations to be performed, the operations comprising: receiving a file including code defining a class implementing at least one method in an information model for a device management schema and wherein one of the at least one method relates to device management operations with respect to a device; translating the file to produce an object oriented implementation of the class and the at least one method for the device management operations for the device in an object oriented programming (OOP) language file; adding protocol statements of the information model to the OOP file to enable the client application to invoke the at least one method on the server to perform the device management operations with respect to the device; and compiling the OOP file to produce an executable object capable of being invoked by a call to a method invocation statement, wherein the client application calling the method invocation statement causes execution of the protocol statements and the at least one method in the executable object to invoke the at least one method on the server to cause the device management operations of the method with respect to the device. 18. The article of manufacture of claim 17 , wherein the protocol statements enable communication between the client and a provider at the server to enable the client to invoke the at least one method with the provider, wherein the at least one method comprises a device independent command that the provider translates to a device specific command to implement the functionality of the at least one method for the device.
| 0.5 |
8,082,277 | 1 | 8 |
1. A document generation system, comprising: a plurality of client computer systems; and a server computer system having memory for storing data defining a document, the document having a plurality of sections, the server computer system configured to communicate with the client computer systems via a network, the server computer system configured to define a plurality of permission levels, including at least a first permission level, a second permission level, and a third permission level, and to assign each of a plurality of users to a respective one of the permission levels, wherein users assigned to the first permission level are authorized by the server computer system to at least modify the document, wherein users assigned to the second permission level are authorized by the server computer system to at least review the document and make comments for reading by at least one user assigned to the first permission level, and wherein users assigned to the third permission level are authorized by the server computer system to at least review the document and approve the document on a section-by-section basis, the server computer system configured to permit a first user assigned to the first permission level to edit a first section of the document and to provide a first input for indicating that the first user deems the first section to be ready for review by at least one user assigned to the second permission level, the server computer system further configured to automatically send a notice to a second user assigned to the second permission level in response to the first input, the server computer system configured to permit the second user to review the first section, provide a comment related to the first section, and provide a second input for indicating that the second user approves the first section for review by at least one user assigned to the third permission level, the server computer system configured to provide the comment from the second user to the first user and to automatically send a notice to a third user assigned to the third permission level in response to the second user input, the server computer system configured to permit the third user to review the first section and provide a third input for indicating that the third user approves the first section, the server computer system configured to associate each section of the document with a respective status indicator indicating whether the respective section has been approved by at least one user assigned to the second permission level, the server computer system configured to update the status indicator assigned to the first section in response to the second input to indicate that the first section has been approved by at least one user assigned to the second permission level.
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1. A document generation system, comprising: a plurality of client computer systems; and a server computer system having memory for storing data defining a document, the document having a plurality of sections, the server computer system configured to communicate with the client computer systems via a network, the server computer system configured to define a plurality of permission levels, including at least a first permission level, a second permission level, and a third permission level, and to assign each of a plurality of users to a respective one of the permission levels, wherein users assigned to the first permission level are authorized by the server computer system to at least modify the document, wherein users assigned to the second permission level are authorized by the server computer system to at least review the document and make comments for reading by at least one user assigned to the first permission level, and wherein users assigned to the third permission level are authorized by the server computer system to at least review the document and approve the document on a section-by-section basis, the server computer system configured to permit a first user assigned to the first permission level to edit a first section of the document and to provide a first input for indicating that the first user deems the first section to be ready for review by at least one user assigned to the second permission level, the server computer system further configured to automatically send a notice to a second user assigned to the second permission level in response to the first input, the server computer system configured to permit the second user to review the first section, provide a comment related to the first section, and provide a second input for indicating that the second user approves the first section for review by at least one user assigned to the third permission level, the server computer system configured to provide the comment from the second user to the first user and to automatically send a notice to a third user assigned to the third permission level in response to the second user input, the server computer system configured to permit the third user to review the first section and provide a third input for indicating that the third user approves the first section, the server computer system configured to associate each section of the document with a respective status indicator indicating whether the respective section has been approved by at least one user assigned to the second permission level, the server computer system configured to update the status indicator assigned to the first section in response to the second input to indicate that the first section has been approved by at least one user assigned to the second permission level. 8. The document generation system of claim 1 , wherein the server computer system is further configured to provide an indication when each section of the document has been approved by at least one user assigned to the third permission level.
| 0.5 |
7,856,598 | 4 | 5 |
4. The method of claim 2 , where comparing the set of liaoalphagrams associated with the query term to the sets of liaoalphagrams associated with the candidate correctly spelled words includes computing a liaoalphagram similarity score.
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4. The method of claim 2 , where comparing the set of liaoalphagrams associated with the query term to the sets of liaoalphagrams associated with the candidate correctly spelled words includes computing a liaoalphagram similarity score. 5. The method of claim 4 , the liaoalphagram similarity score being based, at least in part, on a Jaccard distance.
| 0.754274 |
8,280,700 | 1 | 19 |
1. A configuration method for a room, the method comprising: selecting from a client device a consumer application from a plurality of consumer applications accessible from the client device, wherein each of the plurality of consumer applications is pre-configured to include a plurality of room components associated therewith; storing in a memory module data defining a plurality of attributes for the plurality of components associated with the selected consumer application, wherein the data are organized in a frame/slot hierarchy such that attributes of the plurality of attributes are represented as slots of a plurality of frames; and selecting a user-specified attribute from available attributes for at least one of the plurality of the room components wherein selection of invalid attributes is prevented, comprising performing in a processor-based system an attribute-based inference operation that identifies among the plurality of room components within the frame/slot hierarchy the available attributes and the invalid attributes for the at least one of the plurality of room components, wherein the selecting the consumer application imposes constraints that determine, at least in part, the available attributes within the frame/slot hierarchy.
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1. A configuration method for a room, the method comprising: selecting from a client device a consumer application from a plurality of consumer applications accessible from the client device, wherein each of the plurality of consumer applications is pre-configured to include a plurality of room components associated therewith; storing in a memory module data defining a plurality of attributes for the plurality of components associated with the selected consumer application, wherein the data are organized in a frame/slot hierarchy such that attributes of the plurality of attributes are represented as slots of a plurality of frames; and selecting a user-specified attribute from available attributes for at least one of the plurality of the room components wherein selection of invalid attributes is prevented, comprising performing in a processor-based system an attribute-based inference operation that identifies among the plurality of room components within the frame/slot hierarchy the available attributes and the invalid attributes for the at least one of the plurality of room components, wherein the selecting the consumer application imposes constraints that determine, at least in part, the available attributes within the frame/slot hierarchy. 19. The method of claim 1 wherein the storing data further includes storing a plurality of layers, each of the layers being associated with a component of the plurality of components and having a plurality of variations, wherein each of the plurality of variations represents one or more attributes of the component.
| 0.723292 |
9,477,756 | 10 | 14 |
10. A non-transitory computer-readable storage medium having computer-executable instructions stored thereon that, when executed by a computing device, cause the computing device to at least: receive a structured document; parse structural elements from the structured document; generate a text string representing a structure of the structured document from the structural elements, wherein the text string does not comprise textual content from the structured document; derive metadata from the structured document; add the metadata to the text string, the metadata representing a complexity value of the structure of the structured document based at least in part upon a maximum depth of nested structural elements in the structured document; group structural elements in the text string into N-grams utilizing a sliding window; utilize a classifier trained from a plurality of training documents labeled as belonging to a first document class to determine a probability that the structured document belongs to the first document class based on the N-grams, the classifier using the complexity value of the structure of the structured document as a coefficient for a first probability that the structured document belongs to the first document class, wherein the complexity value has a relatively lower value for a first set of documents that are similar and include a simple structure while the complexity value has a relatively higher value for a second set of documents that are relatively less similar and include a relatively more complex structure as compared to the first set of documents; determine whether the first probability that the structured document belongs to the first document class satisfies a threshold value; if the first probability that the structured document belongs to the first document class satisfies the threshold value, classifying the structured document as belonging to the first document class; and if the first probability that the structured document belongs to the first document class does not satisfy the threshold value, utilizing the classifier trained from a plurality of training documents labeled as belonging to the second document class to determine a second probability that the structured document belongs to the second document class based on the text string representing the structure of the structured document.
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10. A non-transitory computer-readable storage medium having computer-executable instructions stored thereon that, when executed by a computing device, cause the computing device to at least: receive a structured document; parse structural elements from the structured document; generate a text string representing a structure of the structured document from the structural elements, wherein the text string does not comprise textual content from the structured document; derive metadata from the structured document; add the metadata to the text string, the metadata representing a complexity value of the structure of the structured document based at least in part upon a maximum depth of nested structural elements in the structured document; group structural elements in the text string into N-grams utilizing a sliding window; utilize a classifier trained from a plurality of training documents labeled as belonging to a first document class to determine a probability that the structured document belongs to the first document class based on the N-grams, the classifier using the complexity value of the structure of the structured document as a coefficient for a first probability that the structured document belongs to the first document class, wherein the complexity value has a relatively lower value for a first set of documents that are similar and include a simple structure while the complexity value has a relatively higher value for a second set of documents that are relatively less similar and include a relatively more complex structure as compared to the first set of documents; determine whether the first probability that the structured document belongs to the first document class satisfies a threshold value; if the first probability that the structured document belongs to the first document class satisfies the threshold value, classifying the structured document as belonging to the first document class; and if the first probability that the structured document belongs to the first document class does not satisfy the threshold value, utilizing the classifier trained from a plurality of training documents labeled as belonging to the second document class to determine a second probability that the structured document belongs to the second document class based on the text string representing the structure of the structured document. 14. The non-transitory computer-readable storage medium of claim 10 , wherein the structured document and at least one of the plurality of training documents comprise hypertext markup language (HTML) documents generated from a same template.
| 0.813178 |
8,027,943 | 6 | 8 |
6. The method of claim 1 , wherein the first group of user profiles includes profiles of users selected from the social network users based on a calculated probability that each social network user will respond to an invitation.
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6. The method of claim 1 , wherein the first group of user profiles includes profiles of users selected from the social network users based on a calculated probability that each social network user will respond to an invitation. 8. The method of claim 6 , wherein the second group of user profiles includes profiles of users selected randomly from the social network users.
| 0.686957 |
9,020,862 | 1 | 3 |
1. A machine learning method for computer question-answering, comprising: receiving a plurality of questions to be trained, and obtaining a candidate answer set for each of said questions; determining a part of said questions to which said candidate answer sets include correct answers, and using first feature sets of said candidate answers to which said part of said questions correspond to form a first input training data set, wherein said first feature sets comprises at least one of: a matching degree of a type of said candidate answer and said question to be trained; a literal similarity between the text around said candidate answer and the text of said question to be trained; a matching degree of a time feature of said candidate answer and the time appearing in said question to be trained; and a matching degree of a geographic location of said candidate answer and a geographic location appearing in said question to be trained; performing machine learning on said first input training data set to obtain a first mathematical model, and using said first mathematical model to compute a first confidence degree that said candidate answer is a correct answer based on said first feature set; computing first confidence degrees of said candidate answers of all of said questions to be trained, and for each question, extracting a second feature set related to said first confidence degrees and said first feature set; and performing machine learning on a second input training data set formed by said second feature sets of said plurality of questions to be trained, to obtain a second mathematic model, and using said second mathematical model to compute a second confidence degree that said candidate answer is a correct answer based on said second feature set.
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1. A machine learning method for computer question-answering, comprising: receiving a plurality of questions to be trained, and obtaining a candidate answer set for each of said questions; determining a part of said questions to which said candidate answer sets include correct answers, and using first feature sets of said candidate answers to which said part of said questions correspond to form a first input training data set, wherein said first feature sets comprises at least one of: a matching degree of a type of said candidate answer and said question to be trained; a literal similarity between the text around said candidate answer and the text of said question to be trained; a matching degree of a time feature of said candidate answer and the time appearing in said question to be trained; and a matching degree of a geographic location of said candidate answer and a geographic location appearing in said question to be trained; performing machine learning on said first input training data set to obtain a first mathematical model, and using said first mathematical model to compute a first confidence degree that said candidate answer is a correct answer based on said first feature set; computing first confidence degrees of said candidate answers of all of said questions to be trained, and for each question, extracting a second feature set related to said first confidence degrees and said first feature set; and performing machine learning on a second input training data set formed by said second feature sets of said plurality of questions to be trained, to obtain a second mathematic model, and using said second mathematical model to compute a second confidence degree that said candidate answer is a correct answer based on said second feature set. 3. The method according to claim 1 , wherein said second feature set comprises at least one of: a maximum value of said first confidence degrees; a difference between said maximum value and a second maximum value of said first confidence degrees; an average of said first confidence degrees; an average of an important feature in said first feature set; and a standard deviation of an important feature in said first feature set.
| 0.5 |
9,495,964 | 14 | 15 |
14. A computer-readable storage device storing instructions which, when executed by a processor, cause the processor to perform operations comprising: comparing a transcription of a media presentation to a list of anchor word candidates to identify a pair of anchor words separated from one another within the media presentation by a time greater than an anchor word time duration requirement; and generating captions by aligning the transcription with an automatic speech recognition output of the media presentation according to the pair of anchor words.
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14. A computer-readable storage device storing instructions which, when executed by a processor, cause the processor to perform operations comprising: comparing a transcription of a media presentation to a list of anchor word candidates to identify a pair of anchor words separated from one another within the media presentation by a time greater than an anchor word time duration requirement; and generating captions by aligning the transcription with an automatic speech recognition output of the media presentation according to the pair of anchor words. 15. The computer-readable storage device of claim 14 , wherein the list of anchor word candidates further comprises a stop word list of words not to be considered as the pair of anchor words.
| 0.801867 |
8,442,931 | 14 | 18 |
14. A system for searching a data set for one or more data patterns, comprising: a receiver computer configured to obtain at least one data block of the data set; a rule computer configured to generate a graph rule set that represents a set of rules as a graph, wherein said set of rules describes the one or more data patterns; a search computer configured to traverse said graph rule set as a function of a current state of said graph rule set and said at least one data block, wherein a value of said data block falls within a predefined range of values of said graph rule set, and identifies a rule of said set of rules based upon traversal of said graph rule set; and a mechanism configured to read said identified rule and modify said data set by attaching a flag to said data set based on at least in part on said identified rule.
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14. A system for searching a data set for one or more data patterns, comprising: a receiver computer configured to obtain at least one data block of the data set; a rule computer configured to generate a graph rule set that represents a set of rules as a graph, wherein said set of rules describes the one or more data patterns; a search computer configured to traverse said graph rule set as a function of a current state of said graph rule set and said at least one data block, wherein a value of said data block falls within a predefined range of values of said graph rule set, and identifies a rule of said set of rules based upon traversal of said graph rule set; and a mechanism configured to read said identified rule and modify said data set by attaching a flag to said data set based on at least in part on said identified rule. 18. the system of claim 14 , wherein the one or more data patterns are indicative of malware.
| 0.835106 |
9,690,758 | 16 | 19 |
16. A system for supporting an electronic book (e-book) application service, the system comprising: at least one mobile device configured to: create, when a number of words related to place names are selected in a reproduced e-book, e-book auxiliary content that includes information regarding a map to which information regarding routes between place locations corresponding to the selected words is applied, with respect to at least one page containing the selected words, and store the e-book that includes the e-book auxiliary content; and a content providing server configured to: receive and store the e-book auxiliary content transmitted from the mobile device, or provide stored e-book auxiliary content to the mobile device, wherein in response, when a user selects a predetermined item in a content items displaying area of a screen where the e-book auxiliary content is reproduced, at least one processor is configured to display on a detailed map information area, information regarding routes including development of a story flow from pages included in previous items to a corresponding page.
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16. A system for supporting an electronic book (e-book) application service, the system comprising: at least one mobile device configured to: create, when a number of words related to place names are selected in a reproduced e-book, e-book auxiliary content that includes information regarding a map to which information regarding routes between place locations corresponding to the selected words is applied, with respect to at least one page containing the selected words, and store the e-book that includes the e-book auxiliary content; and a content providing server configured to: receive and store the e-book auxiliary content transmitted from the mobile device, or provide stored e-book auxiliary content to the mobile device, wherein in response, when a user selects a predetermined item in a content items displaying area of a screen where the e-book auxiliary content is reproduced, at least one processor is configured to display on a detailed map information area, information regarding routes including development of a story flow from pages included in previous items to a corresponding page. 19. The system of claim 16 , wherein the mobile device further comprises: a touch screen configured to receive a selection of an item that includes at least one of a particular word, a phrase, a sentence, or an image, from the e-book content; and a memory configured to: link at least one of text information, image information, or audio information, to the selected item, and store the at least one of text information, image information, or audio information.
| 0.666425 |
8,898,557 | 17 | 24 |
17. A handheld mobile computing device comprising one or more processors, the handheld mobile computing device further comprising: a user interface module configured to: receive, from a server, a command associated with a user request received at another computing device for a rendering of a document being edited in document editing software executing at the other computing device, wherein the server provides a user interface element to the other computing device in response to determining that a user is logged into a same account at both the handheld mobile computing device and the other computing device, wherein receipt of the user interface element causes the other computing device to display the user interface element in a print menu of the document editing software, and wherein the user request is indicative of a selection of the user interface element at the other computing device and obtain the rendering of the document; a touch display configured to: automatically display the rendering of the document in response to the command, and receive handwritten annotations to the rendering of the document from the user; and a rendering annotating module configured to generate an annotated version of the rendering by overlaying the handwritten annotations over the rendering of the document.
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17. A handheld mobile computing device comprising one or more processors, the handheld mobile computing device further comprising: a user interface module configured to: receive, from a server, a command associated with a user request received at another computing device for a rendering of a document being edited in document editing software executing at the other computing device, wherein the server provides a user interface element to the other computing device in response to determining that a user is logged into a same account at both the handheld mobile computing device and the other computing device, wherein receipt of the user interface element causes the other computing device to display the user interface element in a print menu of the document editing software, and wherein the user request is indicative of a selection of the user interface element at the other computing device and obtain the rendering of the document; a touch display configured to: automatically display the rendering of the document in response to the command, and receive handwritten annotations to the rendering of the document from the user; and a rendering annotating module configured to generate an annotated version of the rendering by overlaying the handwritten annotations over the rendering of the document. 24. The handheld mobile computing device of claim 17 , wherein the user interface module obtains the rendering of the document by receiving document information associated with the document, and generates the rendering of the document based on the document information received.
| 0.551613 |
8,495,143 | 1 | 18 |
1. A computer-implemented method comprising: maintaining a user profile for each of a plurality of users of a social networking system, each user profile comprising a set of attributes; selecting a user from the plurality of users; receiving user profile information for at least one user of a set of users in the social networking system who are connected to the selected user in the social networking system; inferring a value of one or more attributes of the user profile for the selected user based on information describing the set of users who are connected to the selected user in the social networking system; comparing a confidence score value for an inferred user profile attribute to a threshold value; storing, responsive to the confidence score being above the threshold value, the inferred value of the user profile attribute with the user profile for the selected user; determining relevant information for the selected user based on the inferred user profile attribute; and sending the relevant information to the selected user.
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1. A computer-implemented method comprising: maintaining a user profile for each of a plurality of users of a social networking system, each user profile comprising a set of attributes; selecting a user from the plurality of users; receiving user profile information for at least one user of a set of users in the social networking system who are connected to the selected user in the social networking system; inferring a value of one or more attributes of the user profile for the selected user based on information describing the set of users who are connected to the selected user in the social networking system; comparing a confidence score value for an inferred user profile attribute to a threshold value; storing, responsive to the confidence score being above the threshold value, the inferred value of the user profile attribute with the user profile for the selected user; determining relevant information for the selected user based on the inferred user profile attribute; and sending the relevant information to the selected user. 18. The computer-implemented method of claim 1 , wherein the inferred attribute is a location of the user, inferred by determining a location value with the highest frequency of occurrence in the set of users.
| 0.743243 |
8,805,839 | 17 | 19 |
17. A storage device for storing computer readable instructions, the computer readable instructions when executed by one or more processing devices perform a method for analyzing network activity comprising: receiving a plurality of labeled access event items and unlabeled access event items from a computer network, each access event item pertaining to a connection made in the computer network between a first entity and a second entity; constructing a multi-class classifier model based on the labeled access event items; predicting labels for the unlabeled access event items using the multi-class classifier model; generating scores for each access event item to identify potential anomalies using feature-based analysis and graph-based analysis; ranking the access event items using the generated scores; presenting a list of candidate problematic access event items to a user in ranked order based on the generated scores; receiving one or more labels from the user to assign to the presented access event items; removing the access event items with user assigned labels from consideration as problematic access event items; updating the ranked list of candidate problematic access event items; presenting the user with the updated list of candidate problematic access event items; and successively removing accepted access event items identified by the user from consideration to reveal at least one potentially unacceptable access event item, if the at least one potentially unacceptable access event item is present.
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17. A storage device for storing computer readable instructions, the computer readable instructions when executed by one or more processing devices perform a method for analyzing network activity comprising: receiving a plurality of labeled access event items and unlabeled access event items from a computer network, each access event item pertaining to a connection made in the computer network between a first entity and a second entity; constructing a multi-class classifier model based on the labeled access event items; predicting labels for the unlabeled access event items using the multi-class classifier model; generating scores for each access event item to identify potential anomalies using feature-based analysis and graph-based analysis; ranking the access event items using the generated scores; presenting a list of candidate problematic access event items to a user in ranked order based on the generated scores; receiving one or more labels from the user to assign to the presented access event items; removing the access event items with user assigned labels from consideration as problematic access event items; updating the ranked list of candidate problematic access event items; presenting the user with the updated list of candidate problematic access event items; and successively removing accepted access event items identified by the user from consideration to reveal at least one potentially unacceptable access event item, if the at least one potentially unacceptable access event item is present. 19. The storage device of claim 17 , wherein each candidate problematic access event item presented to the user has a classification that is assessed as anomalous.
| 0.5 |
8,996,511 | 1 | 2 |
1. A method of providing search results using an interactive graphical user interface, comprising: receiving a first search query; transmitting the first search query to a search interface; receiving a data set of search results having at least one data entry; determining at least one search category related to the search query; causing to be displayed on a connected device a first data visualization containing the contents of the received data set of search results; causing to be displayed at least one visual representation of the at least one search category related to the search query determining one or more second search queries related to the first search query, transmitting at least one related search query to a search interface receiving a data set of search results for each of the at least one related search queries; causing to be displayed on a connected device, adjacent to the first data visualization, at least a second visually distinguishable data visualization containing the contents of the data set of search results generated by the at least one related search query; determining a plurality of related search subcategories, wherein the plurality of related search subcategories are a subclass of the at least one related search query transmitted to the search interface; and causing to be displayed an additional visual representation of the plurality of related search subcategories, wherein the additional visual representation is a three-dimensional interactive structure having a plurality of surfaces, wherein each of the plurality of surfaces is associated with one of the plurality of related search subcategories, and selection of a surface displays at least one further visual representation; wherein the search categories related to the search query, and the plurality of related search subcategories are generated from a hierarchical classification such that search results are displayed by the first visual representation, second visual representation and additional visual representations in a hierarchical graphic format.
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1. A method of providing search results using an interactive graphical user interface, comprising: receiving a first search query; transmitting the first search query to a search interface; receiving a data set of search results having at least one data entry; determining at least one search category related to the search query; causing to be displayed on a connected device a first data visualization containing the contents of the received data set of search results; causing to be displayed at least one visual representation of the at least one search category related to the search query determining one or more second search queries related to the first search query, transmitting at least one related search query to a search interface receiving a data set of search results for each of the at least one related search queries; causing to be displayed on a connected device, adjacent to the first data visualization, at least a second visually distinguishable data visualization containing the contents of the data set of search results generated by the at least one related search query; determining a plurality of related search subcategories, wherein the plurality of related search subcategories are a subclass of the at least one related search query transmitted to the search interface; and causing to be displayed an additional visual representation of the plurality of related search subcategories, wherein the additional visual representation is a three-dimensional interactive structure having a plurality of surfaces, wherein each of the plurality of surfaces is associated with one of the plurality of related search subcategories, and selection of a surface displays at least one further visual representation; wherein the search categories related to the search query, and the plurality of related search subcategories are generated from a hierarchical classification such that search results are displayed by the first visual representation, second visual representation and additional visual representations in a hierarchical graphic format. 2. The method of claim 1 , further comprising causing to be displayed on a connected device at least one visual representation of one or more initial search categories.
| 0.809091 |
8,098,177 | 1 | 2 |
1. A method of mapping a keypad, the method comprising: mapping at least one key on a numeric keypad to alphabetic letters of a language, wherein a plurality of the alphabetic letters are assigned to each of the at least one key on the numeric keypad; receiving a first interaction with one key of the at least one key; selecting a first alphabetic letter from among the plurality of alphabetic letters assigned to the one key of the at least one key, in response to the first interaction with the one key, such that the first alphabetic letter is a first most frequently used letter from among said plurality of alphabetic letters assigned to the one key; receiving a second interaction with the one key of the at least one key; and selecting a second alphabetic letter from among the plurality of alphabetic letters assigned to the one key of the at least one key, in response to the second interaction with the one key, such that the second alphabetic letter is a second most frequently used letter from among said plurality of letters assigned to the one key, wherein the plurality of alphabetic letters assigned to the one key of the at least one key are displayed on a surface of the one key in a stylized manner reflecting frequency of use of each of said plurality of alphabetic letters such that more frequently used letters are styled in a more ubiquitous manner in comparison to less frequently used letters, and wherein a color coding scheme or a font visualization scheme is used to distinguish the more frequently used letters from the less frequently used letters.
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1. A method of mapping a keypad, the method comprising: mapping at least one key on a numeric keypad to alphabetic letters of a language, wherein a plurality of the alphabetic letters are assigned to each of the at least one key on the numeric keypad; receiving a first interaction with one key of the at least one key; selecting a first alphabetic letter from among the plurality of alphabetic letters assigned to the one key of the at least one key, in response to the first interaction with the one key, such that the first alphabetic letter is a first most frequently used letter from among said plurality of alphabetic letters assigned to the one key; receiving a second interaction with the one key of the at least one key; and selecting a second alphabetic letter from among the plurality of alphabetic letters assigned to the one key of the at least one key, in response to the second interaction with the one key, such that the second alphabetic letter is a second most frequently used letter from among said plurality of letters assigned to the one key, wherein the plurality of alphabetic letters assigned to the one key of the at least one key are displayed on a surface of the one key in a stylized manner reflecting frequency of use of each of said plurality of alphabetic letters such that more frequently used letters are styled in a more ubiquitous manner in comparison to less frequently used letters, and wherein a color coding scheme or a font visualization scheme is used to distinguish the more frequently used letters from the less frequently used letters. 2. The method of claim 1 , wherein the plurality of alphabetic letters assigned to the one key of the at least one key are displayed on a surface of the one key in an order associated with frequency of use of each of said plurality of alphabetic letters.
| 0.559028 |
9,049,549 | 1 | 2 |
1. A method of delivering location-based information, comprising: receiving a request via connections to a packet-based network, the request including a location indicator, the location indicator including first location components; deriving one or more second location components from one or more of the first location components; forming one or more location component groups each including a respective subset of one or more location components selected from the first location components and the one or more second location components, the respective subset of one or more location components being determined to be consistent with each other; generating a probabilistic representation of a mobile user's location based on the location indicator and historical data collected from mobile devices, the probabilistic representation including one or more probable geographical areas each having an associated weight, each of the one or more probable geographical areas corresponding to a respective one of the one or more location component groups; retrieving information from a data store based on the probabilistic representation; and transmitting the information to the packet-based network for receipt by the mobile user.
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1. A method of delivering location-based information, comprising: receiving a request via connections to a packet-based network, the request including a location indicator, the location indicator including first location components; deriving one or more second location components from one or more of the first location components; forming one or more location component groups each including a respective subset of one or more location components selected from the first location components and the one or more second location components, the respective subset of one or more location components being determined to be consistent with each other; generating a probabilistic representation of a mobile user's location based on the location indicator and historical data collected from mobile devices, the probabilistic representation including one or more probable geographical areas each having an associated weight, each of the one or more probable geographical areas corresponding to a respective one of the one or more location component groups; retrieving information from a data store based on the probabilistic representation; and transmitting the information to the packet-based network for receipt by the mobile user. 2. The method of claim 1 , wherein the first location components of the location indicator include at least one of a first code associated with a place or region, a first name associated with a place or region, first geographical coordinates, and an Internet Protocol (IP) address, and wherein deriving one or more second location components from one or more of the first location components comprises: in response to the first location components including the IP address, obtaining one or more derived location components from the IP address; and in response to any of the one or more derived location components being inconsistent with a corresponding one of the first location components, assigning the one or more derived location components to a separate location component group from the one of the first location components.
| 0.5 |
9,836,547 | 1 | 5 |
1. A method for capturing and managing knowledge from social networking interactions comprising: presenting a marking element in a social networking interaction, wherein: said marking element is a visual interface element that allows a user to mark a message of the social networking interaction with at least one of a question specifier and an answer specifier; said question specifier indicates that the user found a message to include a question; and said answer specifier indicates that the user found a message to include an answer; creating a knowledge element in response to a user specifying a message of the social networking interaction to be a question and specifying another message of the social networking interaction to be an answer; presenting a knowledge element indicator to accompany a corresponding message in said social networking interaction, which knowledge element indicator indicates whether said corresponding message corresponds to at least one of the group consisting of a question and an answer; and recommending said knowledge element for use in response to a user comprising a message relevant to said knowledge element in said social networking interaction before said user shares said message within said social networking interaction.
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1. A method for capturing and managing knowledge from social networking interactions comprising: presenting a marking element in a social networking interaction, wherein: said marking element is a visual interface element that allows a user to mark a message of the social networking interaction with at least one of a question specifier and an answer specifier; said question specifier indicates that the user found a message to include a question; and said answer specifier indicates that the user found a message to include an answer; creating a knowledge element in response to a user specifying a message of the social networking interaction to be a question and specifying another message of the social networking interaction to be an answer; presenting a knowledge element indicator to accompany a corresponding message in said social networking interaction, which knowledge element indicator indicates whether said corresponding message corresponds to at least one of the group consisting of a question and an answer; and recommending said knowledge element for use in response to a user comprising a message relevant to said knowledge element in said social networking interaction before said user shares said message within said social networking interaction. 5. The method of claim 1 , further comprising presenting an editing element for editing said knowledge element.
| 0.729268 |
8,706,742 | 4 | 7 |
4. The system according to claim 3 wherein said document discriminator comprises a metadata-based relevant-irrelevant document discriminator characterized in that said at least one metadata value correlates with relevance of said electronic documents to the issue.
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4. The system according to claim 3 wherein said document discriminator comprises a metadata-based relevant-irrelevant document discriminator characterized in that said at least one metadata value correlates with relevance of said electronic documents to the issue. 7. The system according to claim 4 wherein said relevance rater generates binary relevance scores having exactly 2 values: “relevant” and “irrelevant” and wherein said discriminator is operative to define as a lead, each logical condition over metadata which is statistically dependent, vis a vis possession by electronic documents of “relevant” and “irrelevant” scores, at a predetermined level of confidence.
| 0.805318 |
7,711,573 | 411 | 449 |
411. A computer program product, to be used on a computer, for improving a precision ratio when searching a resume database, comprising: a computer readable medium storing: program code for receiving a resume; program code for parsing the resume to: locate at least one skill or experience-related phrase in the resume; determine an experience range for each said at least one skill or experience-related phrase by examining a use of each said at least one skill or experience-related phrase in the resume; and compute a term of experience for each said at least one skill or experience-related phrase based on the experience range, wherein the term of experience for each said at least one skill or experience-related phrase is a summation of the term of experience for each occurrence of the phrase associated with a different experience range; program code for storing the resume in the resume database; program code for associating at least one of said at least one skill or experience-related phrase located in the resume with at least one implied skill or experience-related phrase, wherein a term of experience for each said at least one implied skill or experience-related phrase is the term of experience computed for said at least one of said at least one skill or experience-related phrase, and wherein said at least one skill or experience-related phrase and said at least one implied skill or experience-related phrase are searchable phrases in the resume; program code for creating a parsed resume based on the resume, the parsed resume including each searchable phrase in the resume, the term of experience for each searchable phrase, and a relationship between the term of experience and each searchable phrase; program code for storing the parsed resume in the resume database; program code for sending a database query to the resume database, the database query including a job description that includes at least one job requirement, each said at least one job requirement including a required skill or experience-related phrase, and a required term of experience; and program code for receiving a result set in response to the database query, wherein the result set includes the resume when the parsed resume satisfies the job description.
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411. A computer program product, to be used on a computer, for improving a precision ratio when searching a resume database, comprising: a computer readable medium storing: program code for receiving a resume; program code for parsing the resume to: locate at least one skill or experience-related phrase in the resume; determine an experience range for each said at least one skill or experience-related phrase by examining a use of each said at least one skill or experience-related phrase in the resume; and compute a term of experience for each said at least one skill or experience-related phrase based on the experience range, wherein the term of experience for each said at least one skill or experience-related phrase is a summation of the term of experience for each occurrence of the phrase associated with a different experience range; program code for storing the resume in the resume database; program code for associating at least one of said at least one skill or experience-related phrase located in the resume with at least one implied skill or experience-related phrase, wherein a term of experience for each said at least one implied skill or experience-related phrase is the term of experience computed for said at least one of said at least one skill or experience-related phrase, and wherein said at least one skill or experience-related phrase and said at least one implied skill or experience-related phrase are searchable phrases in the resume; program code for creating a parsed resume based on the resume, the parsed resume including each searchable phrase in the resume, the term of experience for each searchable phrase, and a relationship between the term of experience and each searchable phrase; program code for storing the parsed resume in the resume database; program code for sending a database query to the resume database, the database query including a job description that includes at least one job requirement, each said at least one job requirement including a required skill or experience-related phrase, and a required term of experience; and program code for receiving a result set in response to the database query, wherein the result set includes the resume when the parsed resume satisfies the job description. 449. The computer program product of claim 411 , wherein the job description further includes a required salary range comprising a minimum required salary and a maximum required salary, the computer readable medium further storing: program code for storing the job description; and program code for sending a portion of the result set, wherein the result set includes at least one matching resume from the resume database, each said at least one matching resume satisfying the job description.
| 0.569056 |
8,577,868 | 12 | 14 |
12. A system, comprising: a memory configured to store instructions; and a processor configured to execute one or more of the instructions to: receive a search query from a user; obtain search results related to the search query, each of the search results being associated with a respective document in a group of documents; determine respective ranks of the search results based on the search query; and automatically bookmark, based on the respective ranks, a highest ranking one of the search results.
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12. A system, comprising: a memory configured to store instructions; and a processor configured to execute one or more of the instructions to: receive a search query from a user; obtain search results related to the search query, each of the search results being associated with a respective document in a group of documents; determine respective ranks of the search results based on the search query; and automatically bookmark, based on the respective ranks, a highest ranking one of the search results. 14. The system of claim 12 , where the processor, when determining the respective ranks of the search results, is further configured to execute at least one of the instructions to: determine a particular topic associated with the user; and determine the respective ranks of the search results further based on the particular topic.
| 0.547814 |
8,818,977 | 1 | 7 |
1. A computer-implemented method, comprising: determining, for a current user session and by one or more computers, a user context that is indicative of a category of user interest for the user session, the determination being based on content provided to a particular user during the current user session, wherein determining the user context comprises: determining that the content provided to the particular user during the current user session includes a hub page, the hub page being a page that has been identified as part of both a first context and a second context, the first context being different from the second context, and each of the first context and the second context being identified based at least in part on characteristics of the hub page; identifying previous user sessions that include requests for the hub page; obtaining a first metric for the first context, the first metric being calculated based on a frequency with which the previous user sessions that included requests for the hub page were determined to be part of the first context; obtaining a second metric for the second context, the second metric being calculated based on a frequency with which the previous user sessions that included requests for the hub page were determined to be part of the second context; and determining that the user context is one of the first context or second context based on the first metric and the second metric; and receiving, during the user session and after determining the user context, a user search query from the particular user; and providing, by one or more computers and in response to receiving the user search query, ranked search results for the user search query, the ranking being based at least in part on a first contextual click model for the user context.
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1. A computer-implemented method, comprising: determining, for a current user session and by one or more computers, a user context that is indicative of a category of user interest for the user session, the determination being based on content provided to a particular user during the current user session, wherein determining the user context comprises: determining that the content provided to the particular user during the current user session includes a hub page, the hub page being a page that has been identified as part of both a first context and a second context, the first context being different from the second context, and each of the first context and the second context being identified based at least in part on characteristics of the hub page; identifying previous user sessions that include requests for the hub page; obtaining a first metric for the first context, the first metric being calculated based on a frequency with which the previous user sessions that included requests for the hub page were determined to be part of the first context; obtaining a second metric for the second context, the second metric being calculated based on a frequency with which the previous user sessions that included requests for the hub page were determined to be part of the second context; and determining that the user context is one of the first context or second context based on the first metric and the second metric; and receiving, during the user session and after determining the user context, a user search query from the particular user; and providing, by one or more computers and in response to receiving the user search query, ranked search results for the user search query, the ranking being based at least in part on a first contextual click model for the user context. 7. The computer-implemented method of claim 1 , wherein the user context comprises one or more of a news context, a shopping context, a travel context or an educational context, wherein the news context is determined when it is identified that the user is navigating sites related to news content, the shopping context is determined when it is identified that the user is navigating sites related to shopping content, the travel context is determined when it is identified that the user is navigating travel content and the educational context is determined when it is identified that the user is navigating educational content; and wherein the first contextual click model associated with the user context is operable to increase the ranking of content related to the user context.
| 0.5 |
8,959,427 | 15 | 17 |
15. A computer program product, comprising: a non-transitory computer-readable medium having computer-readable program instructions embodied therein that when executed by a computer cause the computer to generate JavaScript based HTML website layouts, the computer-readable program instructions comprising: computer-readable program instructions to receive a request to generate a website; computer-readable program instructions to generate a Hypertext Markup Language (HTML) website, wherein the HTML website comprises at least: a first HTML content block, wherein the first HTML content block comprises static HTML content and a first HTML identification code (ID), and at least one second HTML content block, wherein the second HTML content block comprises a second HTML ID; computer-readable program instructions to receive a request to move the static HTML content from the first HTML content block to the second HTML content block; computer-readable program instructions to input the first HTML ID of the first HTML content block as an origin of the static HTML content and the second HTML ID of the second HTML content block as a destination for the static HTML content; computer-readable program instructions to re-write the static HTML content from the origin HTML content block to the destination HTML content block, based on the HTML ID input; and computer-readable program instructions to remove the first HTML content block.
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15. A computer program product, comprising: a non-transitory computer-readable medium having computer-readable program instructions embodied therein that when executed by a computer cause the computer to generate JavaScript based HTML website layouts, the computer-readable program instructions comprising: computer-readable program instructions to receive a request to generate a website; computer-readable program instructions to generate a Hypertext Markup Language (HTML) website, wherein the HTML website comprises at least: a first HTML content block, wherein the first HTML content block comprises static HTML content and a first HTML identification code (ID), and at least one second HTML content block, wherein the second HTML content block comprises a second HTML ID; computer-readable program instructions to receive a request to move the static HTML content from the first HTML content block to the second HTML content block; computer-readable program instructions to input the first HTML ID of the first HTML content block as an origin of the static HTML content and the second HTML ID of the second HTML content block as a destination for the static HTML content; computer-readable program instructions to re-write the static HTML content from the origin HTML content block to the destination HTML content block, based on the HTML ID input; and computer-readable program instructions to remove the first HTML content block. 17. The computer program product of claim 15 , wherein the HTML website is embedded with JavaScript computer code.
| 0.839888 |
9,734,233 | 31 | 32 |
31. The system of claim 20 , wherein the processor has a lock release function of limiting and releasing access to the semantic menu.
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31. The system of claim 20 , wherein the processor has a lock release function of limiting and releasing access to the semantic menu. 32. The system of claim 31 , wherein the lock release function is provided so as to select an entire lock for the entire semantic menus, a partial lock for partially selected menus among the semantic menus, and an individual lock for an individual semantic menu.
| 0.676543 |
9,753,723 | 1 | 6 |
1. A system for generating a language-independent representation of a software project's structure from its source code comprises: one or more language analyzers, each comprising a language structurer system and a language inferencer system for a selected language, wherein said language structurer system generates a language-specific representation of code structure from the software project, and said language inferencer system augments the language-specific representation with additional, inferred information; one or more language translators in communication with said one or more language analyzers for mapping from language-specific components to language-independent components, wherein said language-independent components represent a source-to-source translation that maintains a semantic structure of the software project's source code such that each language-independent component corresponds to at least one of a function, a method, a package, a class, a type, a field, a variable declaration, a comment, an interface, a reference to the function, a reference to the method, a reference to the package, a reference to the class, a reference to the type, a reference to the field, and a reference to the variable declaration; and a database for storage of the language-independent components.
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1. A system for generating a language-independent representation of a software project's structure from its source code comprises: one or more language analyzers, each comprising a language structurer system and a language inferencer system for a selected language, wherein said language structurer system generates a language-specific representation of code structure from the software project, and said language inferencer system augments the language-specific representation with additional, inferred information; one or more language translators in communication with said one or more language analyzers for mapping from language-specific components to language-independent components, wherein said language-independent components represent a source-to-source translation that maintains a semantic structure of the software project's source code such that each language-independent component corresponds to at least one of a function, a method, a package, a class, a type, a field, a variable declaration, a comment, an interface, a reference to the function, a reference to the method, a reference to the package, a reference to the class, a reference to the type, a reference to the field, and a reference to the variable declaration; and a database for storage of the language-independent components. 6. The system of claim 1 , wherein said language inferencer system augments the language-specific representation with global information regarding the language-specific components of the software project.
| 0.587045 |
7,594,172 | 1 | 10 |
1. A method of storing descriptive metatag-value pairs for parametized information regarding first and second items having differing classifications, comprising: providing a first electronic interface through which a first human user identifies the first item in a first document to a computer system; prompting the first user to select a first classification for the first item, wherein the first user selects the first classification for the first item; providing the first user with a first set of metatag choices determined at least in part by the first user's selection of the first classification; presenting the first user with: (a) the first set of metatag choices for possible association with the first item, and (b) candidate values for at least one of the metatag choices that allows the first user to define a first metatag-value pair; providing a second electronic interface through which the first user creates a new metatag for the first set of metatag choices which based on an analysis of a second document that includes the second item, is subsequently displayed in the first set of metatag choices to a second human user for the second user to utilize in entering a second metatag-value pair for possible association with the second item in the second document; and storing an association of the first item and the new metatag in a data structure.
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1. A method of storing descriptive metatag-value pairs for parametized information regarding first and second items having differing classifications, comprising: providing a first electronic interface through which a first human user identifies the first item in a first document to a computer system; prompting the first user to select a first classification for the first item, wherein the first user selects the first classification for the first item; providing the first user with a first set of metatag choices determined at least in part by the first user's selection of the first classification; presenting the first user with: (a) the first set of metatag choices for possible association with the first item, and (b) candidate values for at least one of the metatag choices that allows the first user to define a first metatag-value pair; providing a second electronic interface through which the first user creates a new metatag for the first set of metatag choices which based on an analysis of a second document that includes the second item, is subsequently displayed in the first set of metatag choices to a second human user for the second user to utilize in entering a second metatag-value pair for possible association with the second item in the second document; and storing an association of the first item and the new metatag in a data structure. 10. The method of claim 1 , wherein at least one of the metatag choices relates to a price of the first item.
| 0.673653 |
8,121,412 | 8 | 10 |
8. A processing device comprising: at least one processor; and a memory connected to the at least one processor, the memory including instructions for the at least one processor to perform a method, the method comprising: detecting an existence of a tabular structure within handwritten input including a plurality of atoms, applying a plurality of rewriting rules of an extended grammar parsing framework to atoms, included in a plurality of regions and a plurality of partitions, to produce a plurality of recognition results, the extended grammar parsing framework having been formed by adding a plurality of tabular structure productions to a grammar parsing framework, the applying of a plurality of rewriting rules of an extended grammar parsing framework to atoms, included in a plurality of regions and a plurality of partitions, to produce a plurality of recognition results, further comprising: preventing an application of a unary production on a configuration region if the configuration region includes at least one configuration partition; and selecting and displaying a best recognition result from among the plurality of recognition results.
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8. A processing device comprising: at least one processor; and a memory connected to the at least one processor, the memory including instructions for the at least one processor to perform a method, the method comprising: detecting an existence of a tabular structure within handwritten input including a plurality of atoms, applying a plurality of rewriting rules of an extended grammar parsing framework to atoms, included in a plurality of regions and a plurality of partitions, to produce a plurality of recognition results, the extended grammar parsing framework having been formed by adding a plurality of tabular structure productions to a grammar parsing framework, the applying of a plurality of rewriting rules of an extended grammar parsing framework to atoms, included in a plurality of regions and a plurality of partitions, to produce a plurality of recognition results, further comprising: preventing an application of a unary production on a configuration region if the configuration region includes at least one configuration partition; and selecting and displaying a best recognition result from among the plurality of recognition results. 10. The processing device of claim 8 , wherein the detecting an existence of a tabular structure within handwritten input including a plurality of atoms, further comprises: detecting a left grouping structure based on the plurality of atoms, removing from consideration atoms forming the left grouping structure and leaving a remaining group of atoms for consideration, projecting the remaining group of atoms onto an x-axis and a y-axis to determine a number of rows and a number of columns, assigning ones of the remaining group of atoms to respective cells of the rows and the columns based on a position of each of the respective ones of the remaining group of atoms, merging a pair of the rows of cells or a pair of the columns of cells when at least one empty cell exists to eliminate the at least one empty cell, and validating a final number of rows and a final number of columns.
| 0.551968 |
8,630,961 | 18 | 19 |
18. A computer-implemented method enabling a user to construct a conversation data structure stored in a database to conduct an automated conversation with a correspondent having an associated stored correspondent profile comprising a plurality of profile variables, wherein the conversation data structure comprises a plurality of conversation nodes, wherein the conversation nodes each comprise coded information adapted for processing to determine a successive conversation node for a conversation, the conversation including multiple conversational interactions including generated conversational responses to the correspondent, the multiple conversation interactions sufficiently associated in terms of subject matter to form a conversation path, the successive conversation node being in response to one or more of an input message received from the correspondent, the method comprising: displaying to the user a graphical representation of the conversation data structure; providing a predetermined plurality of conversation node types, each type having associated coded information fields, values of which are used in processing corresponding conversation nodes in the conversation data structure, and each type being selectable by the user via the graphical representation for placement in the conversation data structure; receiving from the user a selection of at least one of the node types along with user input specifying via the graphical representation a placement of a conversation node within the conversation data structure; receiving from the user values for the coded information fields of the conversation node; and updating the conversation data structure in the database to include the conversation node and coded information.
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18. A computer-implemented method enabling a user to construct a conversation data structure stored in a database to conduct an automated conversation with a correspondent having an associated stored correspondent profile comprising a plurality of profile variables, wherein the conversation data structure comprises a plurality of conversation nodes, wherein the conversation nodes each comprise coded information adapted for processing to determine a successive conversation node for a conversation, the conversation including multiple conversational interactions including generated conversational responses to the correspondent, the multiple conversation interactions sufficiently associated in terms of subject matter to form a conversation path, the successive conversation node being in response to one or more of an input message received from the correspondent, the method comprising: displaying to the user a graphical representation of the conversation data structure; providing a predetermined plurality of conversation node types, each type having associated coded information fields, values of which are used in processing corresponding conversation nodes in the conversation data structure, and each type being selectable by the user via the graphical representation for placement in the conversation data structure; receiving from the user a selection of at least one of the node types along with user input specifying via the graphical representation a placement of a conversation node within the conversation data structure; receiving from the user values for the coded information fields of the conversation node; and updating the conversation data structure in the database to include the conversation node and coded information. 19. The method of claim 18 wherein at least one of the conversation node types perform one or more of the following: receiving an input message; checking one or more conversation nodes or groups of conversation nodes; displaying an output message; comparing a received input message with possible conversation node input messages; selecting a conversation node from within the data structure for subsequent processing along the conversation path; displaying an output message generated using a base personality stored in the database which stored the conversation data structure; selecting a conversation node at random from a plurality of conversation nodes in the conversation data structure for subsequent processing along the conversation path; and/or select a default conversation node within the conversation data structure for subsequent processing along the conversation path.
| 0.5 |
8,117,198 | 11 | 13 |
11. A system that generates a task-enhanced search engine index, comprising: means for determining associations between user tasks and resources accessed by a user while performing various tasks, wherein determining the associations includes determining associations for a particular task in connection with a plurality of resources identified of use in the context of the particular task, and wherein the associations determined for the particular task are determined according to task-related information provided based on use of the plurality of resources in the context of the particular task; means for filtering the plurality of resources, as filtered resources, according to the associations determined for the particular task; means for storing, as stored associations, the associations determined for the particular task with respect to the filtered resources for each of the user tasks; means for computing from the stored associations task-related metadata for each of the resources; means for storing the computed task-related metadata in a search engine index; means for predicting a predicted task using the computer task-related metadata stored in the search engine index, wherein the predicted task is different from the particular task, and wherein predicting the predicted task includes determining that performing the particular task indicates a probability of subsequently performing the predicted task according to the computer-task related metadata; and means for generating search results in response to a search query by the user, the search results being generated according to the predicted task and the search engine index.
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11. A system that generates a task-enhanced search engine index, comprising: means for determining associations between user tasks and resources accessed by a user while performing various tasks, wherein determining the associations includes determining associations for a particular task in connection with a plurality of resources identified of use in the context of the particular task, and wherein the associations determined for the particular task are determined according to task-related information provided based on use of the plurality of resources in the context of the particular task; means for filtering the plurality of resources, as filtered resources, according to the associations determined for the particular task; means for storing, as stored associations, the associations determined for the particular task with respect to the filtered resources for each of the user tasks; means for computing from the stored associations task-related metadata for each of the resources; means for storing the computed task-related metadata in a search engine index; means for predicting a predicted task using the computer task-related metadata stored in the search engine index, wherein the predicted task is different from the particular task, and wherein predicting the predicted task includes determining that performing the particular task indicates a probability of subsequently performing the predicted task according to the computer-task related metadata; and means for generating search results in response to a search query by the user, the search results being generated according to the predicted task and the search engine index. 13. The system of claim 11 wherein the task-related metadata includes a list of tasks associated with each of the resources.
| 0.772894 |
9,135,583 | 13 | 14 |
13. A method, comprising: receiving query definition parameters from a user via a graphical user interface; based on the query definition parameters, automatically creating a pull-type query to pull data from a database; based on the query definition parameters, automatically creating a push-type continuous event query; and establishing a continuous user-query, the continuous user-query providing at least one user output data value based on both the pull-type query and the push-type continuous event query, wherein the data pulled from the database is transformed into events before being joined with a push-type continuous event query output.
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13. A method, comprising: receiving query definition parameters from a user via a graphical user interface; based on the query definition parameters, automatically creating a pull-type query to pull data from a database; based on the query definition parameters, automatically creating a push-type continuous event query; and establishing a continuous user-query, the continuous user-query providing at least one user output data value based on both the pull-type query and the push-type continuous event query, wherein the data pulled from the database is transformed into events before being joined with a push-type continuous event query output. 14. The method of claim 13 , wherein the automatic creation of the pull-type query is associated with semantic layer information.
| 0.5 |
9,727,600 | 1 | 11 |
1. A data consistency management system comprising: a memory storing machine readable instructions executed by at least one hardware processor to: receive a query; determine a suitability of the query for processing by a relational database management system (RDBMS) by ranking data tables based on a combination of read queries for the data tables and query patterns suitable for a not-only structured query language (NoSQL) data store for the data tables, at least one of the data tables containing information for responding to the query, based on the ranking, determining data tables from the ranked data tables that are to be managed by the NoSQL data store, or by the RDBMS, assigning the data tables from the ranked data tables that are to be managed by the NoSQL data store for management by the NoSQL data store, and remaining data tables from the ranked data tables for management by the RDBMS, and determining whether the query is for at least one data table managed by the RDBMS; and in response to a determination that the query is for the at least one data table managed by the RDBMS, forward the query to the RDBMS for processing the query.
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1. A data consistency management system comprising: a memory storing machine readable instructions executed by at least one hardware processor to: receive a query; determine a suitability of the query for processing by a relational database management system (RDBMS) by ranking data tables based on a combination of read queries for the data tables and query patterns suitable for a not-only structured query language (NoSQL) data store for the data tables, at least one of the data tables containing information for responding to the query, based on the ranking, determining data tables from the ranked data tables that are to be managed by the NoSQL data store, or by the RDBMS, assigning the data tables from the ranked data tables that are to be managed by the NoSQL data store for management by the NoSQL data store, and remaining data tables from the ranked data tables for management by the RDBMS, and determining whether the query is for at least one data table managed by the RDBMS; and in response to a determination that the query is for the at least one data table managed by the RDBMS, forward the query to the RDBMS for processing the query. 11. The data consistency management system of claim 1 , wherein the machine readable instructions to determine the data tables from the ranked data tables that are to be managed by the NoSQL data store, or by the RDBMS further comprise instructions to: determine data tables for which the ranking exceeds a predetermined threshold.
| 0.865775 |
9,582,542 | 11 | 13 |
11. A non-transitory machine-readable, tangible storage medium storing executable instructions which cause a device configured to store a plurality of contents and corresponding metadata to perform a method of searching for content, the method comprising: identifying a sorting criterion from among a plurality of sorting criteria for sorting the plurality of contents into a plurality of content groups based on the corresponding metadata, wherein the corresponding metadata associated with each content in a content group is similar to other metadata of other contents in the same content group, and a number of content groups for the identified sorting criterion is greatest; automatically generating a question based on the identified sorting criterion; displaying the question; in response to receiving an answer to the question, searching for matching content corresponding to the answer to the question from the plurality of contents in the device; and displaying the content matching the answer to the question.
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11. A non-transitory machine-readable, tangible storage medium storing executable instructions which cause a device configured to store a plurality of contents and corresponding metadata to perform a method of searching for content, the method comprising: identifying a sorting criterion from among a plurality of sorting criteria for sorting the plurality of contents into a plurality of content groups based on the corresponding metadata, wherein the corresponding metadata associated with each content in a content group is similar to other metadata of other contents in the same content group, and a number of content groups for the identified sorting criterion is greatest; automatically generating a question based on the identified sorting criterion; displaying the question; in response to receiving an answer to the question, searching for matching content corresponding to the answer to the question from the plurality of contents in the device; and displaying the content matching the answer to the question. 13. The storage medium of claim 11 , the method further comprising: when the plurality of contents is searched based on the answer, identify an additional sorting criterion from among the remaining of the plurality of sorting criteria for sorting the plurality of searched contents into content groups based on corresponding metadata of the plurality of searched contents, wherein a number of content groups for the additional sorting criterion is greatest; displaying another question based on the additional sorting criterion; in response to receiving an answer to the other question, searching for matching content corresponding to the answer to the question from the plurality of searched contents; and displaying the content matching the answer to the question.
| 0.573497 |
8,775,409 | 28 | 30 |
28. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a request to identify trending search queries in a search system; grouping a plurality of search queries into a plurality of clusters of search queries; associating each cluster of search queries with a respective representative category; determining, by one or more computers and for each cluster of search queries, a cluster score based on a cluster performance score or a category popularity score, wherein the category popularity score of a particular category is a score whose value correlates with the number of clusters associated with the particular category, and wherein the cluster performance score of a particular cluster is a score whose value correlates with a respective rank of one or more pages that are identified for one or more of search queries that are grouped into the particular cluster; generating a ranking of the clusters of search queries based on the cluster scores; and presenting, as a representation of the trending search queries in the search system, information identifying a subset of the clusters of search queries as ranked according to the ranking.
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28. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a request to identify trending search queries in a search system; grouping a plurality of search queries into a plurality of clusters of search queries; associating each cluster of search queries with a respective representative category; determining, by one or more computers and for each cluster of search queries, a cluster score based on a cluster performance score or a category popularity score, wherein the category popularity score of a particular category is a score whose value correlates with the number of clusters associated with the particular category, and wherein the cluster performance score of a particular cluster is a score whose value correlates with a respective rank of one or more pages that are identified for one or more of search queries that are grouped into the particular cluster; generating a ranking of the clusters of search queries based on the cluster scores; and presenting, as a representation of the trending search queries in the search system, information identifying a subset of the clusters of search queries as ranked according to the ranking. 30. The system of claim 28 , wherein grouping the plurality of search queries further comprises: identifying a set of result documents that a search engine has identified for each search query; and grouping the plurality of search queries into a plurality of clusters of search queries based on each search query's respective set of result documents.
| 0.608501 |
9,437,215 | 1 | 9 |
1. A video analytics system adapted to predict user behavior based on analysis of a video communication, which comprises: a node comprising a processor and a non-transitory computer readable medium operably coupled thereto, the non-transitory computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, where the plurality of instructions comprises: instructions that, when executed, receive a video communication from a user, wherein the video communication comprises an audio component and a video component; instructions that, when executed, analyze the video component to provide time-coded video behavioral data from the user; instructions that, when executed, analyze the audio component to provide time-coded spoken words from the user; instructions that, when executed, associate the time-coded spoken words with the video behavioral data to determine an emotional state of the user; instructions that, when executed, collect biographical profile information specific to the user; instructions that, when executed, determine a personality type of the user by applying a linguistic-based algorithm to the spoken words, searching a density of keywords in the spoken words, and comparing the keywords to a library separated by different personality types; and instructions that, when executed, enter the collected biographical profile information, the emotional state, and the personality type into a predictive model, wherein the predictive model generates an indication of a likelihood of an outcome of the video communication.
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1. A video analytics system adapted to predict user behavior based on analysis of a video communication, which comprises: a node comprising a processor and a non-transitory computer readable medium operably coupled thereto, the non-transitory computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, where the plurality of instructions comprises: instructions that, when executed, receive a video communication from a user, wherein the video communication comprises an audio component and a video component; instructions that, when executed, analyze the video component to provide time-coded video behavioral data from the user; instructions that, when executed, analyze the audio component to provide time-coded spoken words from the user; instructions that, when executed, associate the time-coded spoken words with the video behavioral data to determine an emotional state of the user; instructions that, when executed, collect biographical profile information specific to the user; instructions that, when executed, determine a personality type of the user by applying a linguistic-based algorithm to the spoken words, searching a density of keywords in the spoken words, and comparing the keywords to a library separated by different personality types; and instructions that, when executed, enter the collected biographical profile information, the emotional state, and the personality type into a predictive model, wherein the predictive model generates an indication of a likelihood of an outcome of the video communication. 9. The system of claim 1 , which further comprises instructions, that when executed, determine distress and engagement of the user.
| 0.869 |
9,961,388 | 1 | 6 |
1. A method of a client device comprising: applying an automatic content recognition algorithm to determine a content identifier of an audio-visual data; associating the content identifier with an advertisement data based on a semantic correlation between a meta-data of the advertisement data provided by a content provider and the content identifier, wherein the advertisement data is generated through an advertising exchange server based on the content identifier of the audio-visual data and a public internet-protocol address associated with an application requesting the advertisement data; referencing an additional meta-data comprising at least one of the content identifier and the advertisement based on a video processing algorithm, wherein the additional meta-data is at least one of a title, a description, a thumbnail, a name of an individual, and a historical data, and wherein the additional meta-data is determined from a browser history captured from the client device based on a capture policy, and correlating a relevance of the browser history with the at least one of the content identifier and the advertisement; constraining an executable environment in a security sandbox; executing a sandboxed application in the executable environment using a processor and a memory; automatically instantiating a connection between the sandboxed application and an unannounced device associated with a networked media device based on the determination that an IP address of a port from the unannounced device is associated with the networked media device; processing an identification data associated with a sandbox reachable service of the networked media device sharing a public address with the client device; determining a private address pair of the sandbox reachable service based on the identification data; establishing a communication session between the sandboxed application and the sandbox reachable service using a cross-site scripting technique of the security sandbox; appending a header of a hypertext transfer protocol to permit the networked media device to communicate with the sandboxed application as a permitted origin domain through a Cross-origin resource sharing (CORS) algorithm, wherein the header is either one of an origin header when the CORS algorithm is applied and a referrer header in an alternate algorithm, wherein the sandboxed application queries a MAC address of the sandbox reachable service in a common private network, wherein the sandbox reachable service optionally verifies that the sandboxed application is in the common private network, wherein the sandbox reachable service communicates a MAC address of the sandboxed application to the sandboxed application when the common private network is shared, wherein the sandboxed application stores the MAC address of the sandboxed application and a unique identifier derived from the MAC address of the sandboxed application, and wherein the sandboxed application communicates the MAC address and the unique identifier to a pairing server; and automatically regenerating a script embedded in at least one of the client device, a supply-side platform, and a data provider integrated with the supply side platform when the common private network is shared by the sandboxed application and sandbox reachable service based on the MAC address of the sandboxed application and the unique identifier communicated to the pairing server.
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1. A method of a client device comprising: applying an automatic content recognition algorithm to determine a content identifier of an audio-visual data; associating the content identifier with an advertisement data based on a semantic correlation between a meta-data of the advertisement data provided by a content provider and the content identifier, wherein the advertisement data is generated through an advertising exchange server based on the content identifier of the audio-visual data and a public internet-protocol address associated with an application requesting the advertisement data; referencing an additional meta-data comprising at least one of the content identifier and the advertisement based on a video processing algorithm, wherein the additional meta-data is at least one of a title, a description, a thumbnail, a name of an individual, and a historical data, and wherein the additional meta-data is determined from a browser history captured from the client device based on a capture policy, and correlating a relevance of the browser history with the at least one of the content identifier and the advertisement; constraining an executable environment in a security sandbox; executing a sandboxed application in the executable environment using a processor and a memory; automatically instantiating a connection between the sandboxed application and an unannounced device associated with a networked media device based on the determination that an IP address of a port from the unannounced device is associated with the networked media device; processing an identification data associated with a sandbox reachable service of the networked media device sharing a public address with the client device; determining a private address pair of the sandbox reachable service based on the identification data; establishing a communication session between the sandboxed application and the sandbox reachable service using a cross-site scripting technique of the security sandbox; appending a header of a hypertext transfer protocol to permit the networked media device to communicate with the sandboxed application as a permitted origin domain through a Cross-origin resource sharing (CORS) algorithm, wherein the header is either one of an origin header when the CORS algorithm is applied and a referrer header in an alternate algorithm, wherein the sandboxed application queries a MAC address of the sandbox reachable service in a common private network, wherein the sandbox reachable service optionally verifies that the sandboxed application is in the common private network, wherein the sandbox reachable service communicates a MAC address of the sandboxed application to the sandboxed application when the common private network is shared, wherein the sandboxed application stores the MAC address of the sandboxed application and a unique identifier derived from the MAC address of the sandboxed application, and wherein the sandboxed application communicates the MAC address and the unique identifier to a pairing server; and automatically regenerating a script embedded in at least one of the client device, a supply-side platform, and a data provider integrated with the supply side platform when the common private network is shared by the sandboxed application and sandbox reachable service based on the MAC address of the sandboxed application and the unique identifier communicated to the pairing server. 6. The method of claim 1 , wherein the sandboxed application is at least one of a web page, another script, a binary executable, an intermediate bytecode, an abstract syntax tree, and an executable application in the security sandbox, wherein the sandboxed application comprises at least one of a HyperText Markup Language 5 (HTML5) application, a Javascript® application, an Adobe® Flash® application, a Microsoft® Silverlight® application, a JQuery® application, an Asynchronous Javascript® and an XML (AJAX) application, and wherein an access control algorithm governs a policy through which a secondary authentication is required when establishing the communication session between the sandboxed application and the networked media device.
| 0.921608 |
9,852,117 | 5 | 6 |
5. The method of claim 4 , further comprising: wherein the plurality of pointers includes a first pointer pointing to a first version of the image, wherein the first version of the image is a thumbnail version of the image, a second pointer pointing to a second version of the image, wherein the second version of the image is a small device size version of the image, the small device size version of the image suitable for display on target devices having a relatively small display screen, and a third pointer pointing to a third version of the image, wherein the third version of the image is a large device size version of the image, the large device size version of the image being larger than the small device size version of the image and suitable for display on target devices having a relatively large display screen; and wherein generating the publishable output includes storing the plurality of pointers in the publishable output.
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5. The method of claim 4 , further comprising: wherein the plurality of pointers includes a first pointer pointing to a first version of the image, wherein the first version of the image is a thumbnail version of the image, a second pointer pointing to a second version of the image, wherein the second version of the image is a small device size version of the image, the small device size version of the image suitable for display on target devices having a relatively small display screen, and a third pointer pointing to a third version of the image, wherein the third version of the image is a large device size version of the image, the large device size version of the image being larger than the small device size version of the image and suitable for display on target devices having a relatively large display screen; and wherein generating the publishable output includes storing the plurality of pointers in the publishable output. 6. The method of claim 5 , wherein generating the publishable output further comprises: generating a plurality of Web pages, each of the plurality of Web pages corresponding to at least one of the text-fragments in the text file; and wherein at least one of Web pages displays i) an image based on a pointer to the image contained in the metadata of a text-fragment corresponding to the Web page, and ii) the text of the text-fragment corresponding to the Web page.
| 0.5 |
7,895,178 | 12 | 15 |
12. A method for operating a data processing device of a user to receive advertisements via a communications link from an advertising machine implemented on at least one computer, the method comprising: based upon interaction with the user, creating a search request that includes a search argument; transmitting to the advertising machine via the communications link the search request that includes the search argument; receiving search results and at least one advertisement via the communications link from the advertising machine, the at least one advertisement relating to the search argument; displaying the search results and the at least one advertisement on a display of the data processing device; based upon interaction with the user, receiving search refinement input; transmitting the search refinement input to the advertising machine via the communications link; receiving modified search results and at least one other advertisement from the advertising machine that are based upon at least the search refinement input; and displaying the modified search results and the at least one other advertisement on the display of the data processing device.
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12. A method for operating a data processing device of a user to receive advertisements via a communications link from an advertising machine implemented on at least one computer, the method comprising: based upon interaction with the user, creating a search request that includes a search argument; transmitting to the advertising machine via the communications link the search request that includes the search argument; receiving search results and at least one advertisement via the communications link from the advertising machine, the at least one advertisement relating to the search argument; displaying the search results and the at least one advertisement on a display of the data processing device; based upon interaction with the user, receiving search refinement input; transmitting the search refinement input to the advertising machine via the communications link; receiving modified search results and at least one other advertisement from the advertising machine that are based upon at least the search refinement input; and displaying the modified search results and the at least one other advertisement on the display of the data processing device. 15. The method of claim 12 , wherein the search refinement input comprises additional search criteria.
| 0.831126 |
8,650,024 | 27 | 28 |
27. The computer storage medium of claim 21 , wherein determining that a plurality of addresses cannot be geocoded by a geocoding system includes attempting to geocode each potential address in a corpus of potential addresses by sending each potential address to the geocoding system.
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27. The computer storage medium of claim 21 , wherein determining that a plurality of addresses cannot be geocoded by a geocoding system includes attempting to geocode each potential address in a corpus of potential addresses by sending each potential address to the geocoding system. 28. The computer storage medium of claim 27 , wherein each potential address is an address for a same country.
| 0.5 |
9,066,135 | 9 | 13 |
9. A system for generating content for a display of an electronic device, the content coordinating with video content displayed on a display of another electronic device, comprising: a communication interface operatively connected to receive subtitle data for the displayed video content from a video data source; a processing device that executes logical instructions to: analyze subtitle data for the displayed video content for presence of predetermined keywords from a keyword library and, by way of the analysis, identify one or more of the predetermined keywords that are present in the subtitle data for the displayed video content; identify links to media content, the media content relating to the one or more of the identified predetermined keywords that are present in the subtitle data for the displayed video content; output at least one of the links or the media content for display on the display of the electronic device as second screen content relative to the another electronic device; and control display of the second screen content in coordination with the display of the video content on the another electronic device, wherein the subtitle data contains synchronizing information and the control includes timing the output to output the at least one of the links or the media content at times when corresponding keywords are scheduled for display according to the synchronizing information.
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9. A system for generating content for a display of an electronic device, the content coordinating with video content displayed on a display of another electronic device, comprising: a communication interface operatively connected to receive subtitle data for the displayed video content from a video data source; a processing device that executes logical instructions to: analyze subtitle data for the displayed video content for presence of predetermined keywords from a keyword library and, by way of the analysis, identify one or more of the predetermined keywords that are present in the subtitle data for the displayed video content; identify links to media content, the media content relating to the one or more of the identified predetermined keywords that are present in the subtitle data for the displayed video content; output at least one of the links or the media content for display on the display of the electronic device as second screen content relative to the another electronic device; and control display of the second screen content in coordination with the display of the video content on the another electronic device, wherein the subtitle data contains synchronizing information and the control includes timing the output to output the at least one of the links or the media content at times when corresponding keywords are scheduled for display according to the synchronizing information. 13. The system of claim 9 , wherein the link for at least one of the identified keywords is predetermined.
| 0.888186 |
9,268,880 | 1 | 2 |
1. A computer implemented method, comprising: identifying an association of a user to a provided media file, wherein the provided media file is available to the user for consumption; identifying an aspect of the provided media file, wherein the aspect is a specific attribute of the provided media file; identifying a search query entered by the user; identifying a plurality of query suggestions, wherein the query suggestions are based on the search query; determining, based on identifying the association of the user to the provided media file, a similarity between one or more of the query suggestions and the aspect of the provided media file; and selecting one or more of the query suggestions to provide to the user, wherein a given query suggestion of the query suggestions is selected based on the similarity between the given query suggestion and the aspect; wherein selecting the given query suggestion to provide to the user is further based on a difference between a time interval and a threshold time period, wherein the time interval is based on the time between the user being provided the media file or consuming the media file and the user entering the search query, and wherein the threshold time period is dependent on a type of media of the provided media file.
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1. A computer implemented method, comprising: identifying an association of a user to a provided media file, wherein the provided media file is available to the user for consumption; identifying an aspect of the provided media file, wherein the aspect is a specific attribute of the provided media file; identifying a search query entered by the user; identifying a plurality of query suggestions, wherein the query suggestions are based on the search query; determining, based on identifying the association of the user to the provided media file, a similarity between one or more of the query suggestions and the aspect of the provided media file; and selecting one or more of the query suggestions to provide to the user, wherein a given query suggestion of the query suggestions is selected based on the similarity between the given query suggestion and the aspect; wherein selecting the given query suggestion to provide to the user is further based on a difference between a time interval and a threshold time period, wherein the time interval is based on the time between the user being provided the media file or consuming the media file and the user entering the search query, and wherein the threshold time period is dependent on a type of media of the provided media file. 2. The method of claim 1 , wherein the provided media file has been shared with the user by a secondary source.
| 0.933612 |
8,392,816 | 11 | 14 |
11. A system for classifying a page type of a first portion of an electronic document, the system comprising: a computing device associated with a page classifier engine having one or more processors and one or more computer-storage media; and a data store coupled with the page classifier engine, wherein the page classifier engine: receives an OCR file associated with the electronic document, wherein the OCR file includes semantic information about text in the electronic document; analyzes the semantic information about the text in a first portion of the electronic document by applying one or more features to the semantic information, the one or more features comprising assigning a weight to the following: key phrases, a size of a word or phrase, font, a location of a word or phrase, one or more page numbers, and a repletion of a word or phrase in the first portion of the electronic document; uses the semantic information about the text in the first portion of the electronic document to automatically reference a second portion of the electronic document; extracts semantic information about the text in the second portion of the electronic document; analyzes the semantic information about the text in the second portion of the electronic document by applying one or more features to the semantic information, the one or more features comprising determining that the second portion contains a page-type title, figure, or text similar to a page-type title, figure, or text in the first portion of the electronic document; determines the page type of the first portion of the electronic document based at least upon the application of the one or more features to the semantic information in the first portion of the electronic document and the application of the one or more features to the semantic information in the second portion of the electronic document; and stores an indication of the page type.
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11. A system for classifying a page type of a first portion of an electronic document, the system comprising: a computing device associated with a page classifier engine having one or more processors and one or more computer-storage media; and a data store coupled with the page classifier engine, wherein the page classifier engine: receives an OCR file associated with the electronic document, wherein the OCR file includes semantic information about text in the electronic document; analyzes the semantic information about the text in a first portion of the electronic document by applying one or more features to the semantic information, the one or more features comprising assigning a weight to the following: key phrases, a size of a word or phrase, font, a location of a word or phrase, one or more page numbers, and a repletion of a word or phrase in the first portion of the electronic document; uses the semantic information about the text in the first portion of the electronic document to automatically reference a second portion of the electronic document; extracts semantic information about the text in the second portion of the electronic document; analyzes the semantic information about the text in the second portion of the electronic document by applying one or more features to the semantic information, the one or more features comprising determining that the second portion contains a page-type title, figure, or text similar to a page-type title, figure, or text in the first portion of the electronic document; determines the page type of the first portion of the electronic document based at least upon the application of the one or more features to the semantic information in the first portion of the electronic document and the application of the one or more features to the semantic information in the second portion of the electronic document; and stores an indication of the page type. 14. The system of claim 11 , wherein the machine learning network utilizes a Bayesian algorithm.
| 0.734807 |
7,895,068 | 30 | 31 |
30. A non-transitory computer-readable medium having computer executable instructions stored thereon that, when executed, cause a processor to perform a method comprising: a) generating a capability domain, by the processor, having a plurality of entity roles within a predetermined degree of separation, the predetermined degree of separation being dependent on an activity trust level of a relationship a first entity is seeking to establish with the second entity; b) generating an activity trust domain, by the processor, having a plurality of levels of trust; and c) generating a respective business process of a plurality of business processes being associated with one or more combinations of a respective role of the plurality of roles and a respective trust level of the plurality of trust levels, wherein the data structure is indexed by the capability domain and the activity trust domain to obtain a corresponding business process.
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30. A non-transitory computer-readable medium having computer executable instructions stored thereon that, when executed, cause a processor to perform a method comprising: a) generating a capability domain, by the processor, having a plurality of entity roles within a predetermined degree of separation, the predetermined degree of separation being dependent on an activity trust level of a relationship a first entity is seeking to establish with the second entity; b) generating an activity trust domain, by the processor, having a plurality of levels of trust; and c) generating a respective business process of a plurality of business processes being associated with one or more combinations of a respective role of the plurality of roles and a respective trust level of the plurality of trust levels, wherein the data structure is indexed by the capability domain and the activity trust domain to obtain a corresponding business process. 31. The computer-readable medium having stored thereon a data structure according to claim 30 , wherein each respective role in the plurality of roles defines a respective function that one entity fulfills to another entity.
| 0.544715 |
9,509,757 | 1 | 6 |
1. A computer-implemented method, comprising: creating, at a computer having one or more processors, a multi-language sorting index for strings associated with an application having a plurality of supported languages by: for each string associated with the application: recursively, at each offset of the string, identifying, at the computer, each substring at the offset that is in a combined mapping table, the combined mapping table mapping substrings to collation elements in the plurality of supported languages such that (i) the combined mapping table maps each particular substring to at least one particular collation element in each of the plurality of supported languages, and (ii) each and every particular collation element that corresponds to the particular substring in each of the plurality of supported languages is identified in the combined mapping table, wherein a collation element is a logical mapping of a character to a sequence of weights, for each substring: appending, at the computer, the one or more collation elements in the combined mapping table that correspond to the substring to one or more collation element sequences for the string, wherein the appending comprises building the one or more collation element sequences for each of the supported languages by (i) identifying languages from the combined mapping table based on each substring, and (ii) appending each collation element with respect to each of the identified languages for each substring; and moving, at the computer, the offset by the length of the substring, and upon reaching the end of the string, converting, at the computer, each collation element sequence for the string into a sort key to generate the multi-language sorting index that includes all the sort keys for the string in each of the plurality of supported languages, wherein a sort key is string of bytes that encapsulates a sorting order for a string, wherein the multi-language sorting index corresponds to a single index for the plurality of supported languages and wherein multiple sort keys are generated in a single pass of the combined mapping table for at least one of the strings associated with the application.
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1. A computer-implemented method, comprising: creating, at a computer having one or more processors, a multi-language sorting index for strings associated with an application having a plurality of supported languages by: for each string associated with the application: recursively, at each offset of the string, identifying, at the computer, each substring at the offset that is in a combined mapping table, the combined mapping table mapping substrings to collation elements in the plurality of supported languages such that (i) the combined mapping table maps each particular substring to at least one particular collation element in each of the plurality of supported languages, and (ii) each and every particular collation element that corresponds to the particular substring in each of the plurality of supported languages is identified in the combined mapping table, wherein a collation element is a logical mapping of a character to a sequence of weights, for each substring: appending, at the computer, the one or more collation elements in the combined mapping table that correspond to the substring to one or more collation element sequences for the string, wherein the appending comprises building the one or more collation element sequences for each of the supported languages by (i) identifying languages from the combined mapping table based on each substring, and (ii) appending each collation element with respect to each of the identified languages for each substring; and moving, at the computer, the offset by the length of the substring, and upon reaching the end of the string, converting, at the computer, each collation element sequence for the string into a sort key to generate the multi-language sorting index that includes all the sort keys for the string in each of the plurality of supported languages, wherein a sort key is string of bytes that encapsulates a sorting order for a string, wherein the multi-language sorting index corresponds to a single index for the plurality of supported languages and wherein multiple sort keys are generated in a single pass of the combined mapping table for at least one of the strings associated with the application. 6. The method of claim 1 , wherein: the strings associated with the application are stored in a primary database table associated with the application; and the multi-language sorting index is stored in an auxiliary database table associated with the application, the auxiliary database table further storing a reference to each string in the primary database table.
| 0.537975 |
9,911,420 | 1 | 6 |
1. A computer-implemented method comprising: receiving, by an automated speech recognition system that (i) is configured to automatically perform an action in response to receiving a voice command that includes a particular term, and (ii) includes an automated speech recognizer and a text-to-speech generator, audio data corresponding to a user speaking the voice command using a restricted, canonical pronunciation for the particular term; and generating and providing, for output by the automated speech recognition system, (i) a transcription of the particular term that is generated by the automated speech recognizer, and (ii) an audible alert, generated by the text-to-speech generator, indicating that the user has spoken the particular term using the restricted, canonical pronunciation for the particular term, without initiating the action that is associated with the voice command.
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1. A computer-implemented method comprising: receiving, by an automated speech recognition system that (i) is configured to automatically perform an action in response to receiving a voice command that includes a particular term, and (ii) includes an automated speech recognizer and a text-to-speech generator, audio data corresponding to a user speaking the voice command using a restricted, canonical pronunciation for the particular term; and generating and providing, for output by the automated speech recognition system, (i) a transcription of the particular term that is generated by the automated speech recognizer, and (ii) an audible alert, generated by the text-to-speech generator, indicating that the user has spoken the particular term using the restricted, canonical pronunciation for the particular term, without initiating the action that is associated with the voice command. 6. The computer-implemented method of claim 1 , comprising: detecting, by the automated speech recognition system, a presence of another user when the another user is within a pre-determined distance of the user; determining, based on a comparison of (i) data that indicates an age of the user and (ii) an indication of age-appropriateness associated with the restricted, canonical pronunciation of the particular term, that the restricted, canonical pronunciation of the particular term by the user is not age appropriate; and based on determining that the restricted, canonical pronunciation of the particular term by the user is not age appropriate, transmitting the audible alert to the another user indicating that the restricted, canonical pronunciation is not age-appropriate.
| 0.5 |
8,768,707 | 24 | 25 |
24. The method of claim 22 , wherein a second verifying who is speaking occurs when a higher security is deemed necessary.
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24. The method of claim 22 , wherein a second verifying who is speaking occurs when a higher security is deemed necessary. 25. The method of claim 24 where a manual log in is not required in a secure situation because the second verifying is performed.
| 0.5 |
8,645,421 | 34 | 35 |
34. The computer program product of claim 30 , wherein the mapping table identifies all levels in the attribute hierarchy.
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34. The computer program product of claim 30 , wherein the mapping table identifies all levels in the attribute hierarchy. 35. The computer program product of claim 34 , wherein the mapping table further identifies which levels in the attribute hierarchy were present in the physical hierarchy.
| 0.5 |
8,682,989 | 11 | 14 |
11. A computer-readable storage medium, excluding a signal, storing computer-executable instructions for making document changes using electronic messages, comprising: creating an electronic message that includes: a change made to a shared document and a comment area that is used to enter a comment that is to be included within the document for the change made to the document within a body of the electronic message, wherein the document is collaborated on by reviewers; sending the electronic message to at least a portion of the reviewers that includes the change made to the document within the body of the electronic message; receiving a reply to the electronic message that includes a received change that is to be incorporated into the document that is made without editing the document; and automatically incorporating the received change into the document.
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11. A computer-readable storage medium, excluding a signal, storing computer-executable instructions for making document changes using electronic messages, comprising: creating an electronic message that includes: a change made to a shared document and a comment area that is used to enter a comment that is to be included within the document for the change made to the document within a body of the electronic message, wherein the document is collaborated on by reviewers; sending the electronic message to at least a portion of the reviewers that includes the change made to the document within the body of the electronic message; receiving a reply to the electronic message that includes a received change that is to be incorporated into the document that is made without editing the document; and automatically incorporating the received change into the document. 14. The computer-readable storage medium of claim 11 , wherein creating the electronic message comprises including a predetermined amount of content of the document before each change and after each change and an indicator that specifies a section of the document where the change was made.
| 0.589235 |
8,447,785 | 1 | 2 |
1. A method comprising: a server analyzing portions of data, including a particular portion of data, that are stored in an unstructured database column in a database to determine whether or not the portions of data include marked up text, wherein, prior to analyzing the portions of data, the portions of data, as stored, were not defined as marked up text; without changing the particular portion of data that is stored in the unstructured database column, the server determining that the particular portion contains a marked up text node as a descendant of an ancestor node, and the server storing a location of the marked up text node and an indication that the marked up text node is a descendant of the ancestor node; the server receiving an expression that specifies a value and a hierarchical path; the server evaluating the expression against the unstructured database column at least in part by: the server accessing the marked up text node from the location without scanning the particular portion of data; the server determining that the marked up text node contains the specified value; and the server determining that the marked up text node is under the hierarchical path based at least in part on the indication; wherein the method is performed, by the server, on one or more computing devices.
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1. A method comprising: a server analyzing portions of data, including a particular portion of data, that are stored in an unstructured database column in a database to determine whether or not the portions of data include marked up text, wherein, prior to analyzing the portions of data, the portions of data, as stored, were not defined as marked up text; without changing the particular portion of data that is stored in the unstructured database column, the server determining that the particular portion contains a marked up text node as a descendant of an ancestor node, and the server storing a location of the marked up text node and an indication that the marked up text node is a descendant of the ancestor node; the server receiving an expression that specifies a value and a hierarchical path; the server evaluating the expression against the unstructured database column at least in part by: the server accessing the marked up text node from the location without scanning the particular portion of data; the server determining that the marked up text node contains the specified value; and the server determining that the marked up text node is under the hierarchical path based at least in part on the indication; wherein the method is performed, by the server, on one or more computing devices. 2. The method of claim 1 , wherein the marked up text node is marked according to a hierarchical markup language as being under the hierarchical path in a document that is stored in the unstructured database column, and wherein the document stores other marked up text nodes that are marked according to the hierarchical markup language as not being under the hierarchical path.
| 0.687603 |
10,115,202 | 1 | 14 |
1. An apparatus that is configured to identify a moving object in spatial data, the apparatus comprising: a memory coupled to at least one processor; and the at least one processor, configured to: receive, from a spatial data source, a data structure that comprises spatial-temporal data, wherein spatial-temporal data comprises a combination of time series data and spatial data; convert the spatial-temporal data to a sequence of spatial data frames, where the sequence of spatial data frames represents the spatial data as a sequence of image-like objects; determine a location of one or more clusters in the sequence of spatial data frames at two or more of a plurality of time values, the sequence of spatial data frames defining one or more locations of the one or more clusters at the plurality of time values; determine that a first cluster of the one or more clusters in a first of the two or more time values corresponds to a second cluster of the one or more clusters in a second of the two or more time values; wherein, to determine that the first cluster corresponds to the second cluster, the processor is further configured to: determine a location of each cluster at the first of the two or more time values; determine a location of each cluster at the second of the two or more time values; compute a cluster similarity score for one or more of the clusters at the first time value with one or more of the clusters at the second time value; and associate the first cluster with the second cluster based on the similarity score; determine at least one motion vector between the first cluster and the second cluster; and determine a moving object based on information comprising the at least one motion vector, wherein the processor is further configured to generate an output text using a natural language generation system, the output text linguistically describing the moving object.
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1. An apparatus that is configured to identify a moving object in spatial data, the apparatus comprising: a memory coupled to at least one processor; and the at least one processor, configured to: receive, from a spatial data source, a data structure that comprises spatial-temporal data, wherein spatial-temporal data comprises a combination of time series data and spatial data; convert the spatial-temporal data to a sequence of spatial data frames, where the sequence of spatial data frames represents the spatial data as a sequence of image-like objects; determine a location of one or more clusters in the sequence of spatial data frames at two or more of a plurality of time values, the sequence of spatial data frames defining one or more locations of the one or more clusters at the plurality of time values; determine that a first cluster of the one or more clusters in a first of the two or more time values corresponds to a second cluster of the one or more clusters in a second of the two or more time values; wherein, to determine that the first cluster corresponds to the second cluster, the processor is further configured to: determine a location of each cluster at the first of the two or more time values; determine a location of each cluster at the second of the two or more time values; compute a cluster similarity score for one or more of the clusters at the first time value with one or more of the clusters at the second time value; and associate the first cluster with the second cluster based on the similarity score; determine at least one motion vector between the first cluster and the second cluster; and determine a moving object based on information comprising the at least one motion vector, wherein the processor is further configured to generate an output text using a natural language generation system, the output text linguistically describing the moving object. 14. The apparatus of claim 1 , wherein the processor is further configured to remove at least one of the one or more clusters from consideration based on at least one of a size of the cluster or the cluster motion type of the at least one of the one or more clusters.
| 0.563725 |
9,691,085 | 16 | 18 |
16. The method of claim 15 , further comprising: classifying the customers into customer categories based on: item tiers of items purchased by the customers; mean item prices of the items purchased by the customers; and item volumes of the items purchased by the customers.
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16. The method of claim 15 , further comprising: classifying the customers into customer categories based on: item tiers of items purchased by the customers; mean item prices of the items purchased by the customers; and item volumes of the items purchased by the customers. 18. The method of claim 16 , further comprising: matching the customer categories with the merchant categories; and providing offers from merchants in a merchant category to customers in a customer category matching with the merchant category.
| 0.5 |
7,580,918 | 1 | 11 |
1. A computer-implemented method comprising: storing a generalized directed acyclic graph (DAG) in a database, wherein the storing comprises encoding path information of the generalized DAG in entries of a path table in the database, the encoding comprises converting the path information into text strings, and the entries of the path table correspond to paths in the generalized DAG from nodes of the generalized DAG to a root node of the generalized DAG; triggering generation of a lexical index of the path table using the text strings, wherein the lexical index separately lists tokens included in the entries; and retrieving one or more portions of the generalized DAG from the database for in-memory operations; wherein the storing comprises generating an adjacency list of the nodes of the generalized DAG. the adjacency list and the path table together forming a dual representation of the generalized DAG.
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1. A computer-implemented method comprising: storing a generalized directed acyclic graph (DAG) in a database, wherein the storing comprises encoding path information of the generalized DAG in entries of a path table in the database, the encoding comprises converting the path information into text strings, and the entries of the path table correspond to paths in the generalized DAG from nodes of the generalized DAG to a root node of the generalized DAG; triggering generation of a lexical index of the path table using the text strings, wherein the lexical index separately lists tokens included in the entries; and retrieving one or more portions of the generalized DAG from the database for in-memory operations; wherein the storing comprises generating an adjacency list of the nodes of the generalized DAG. the adjacency list and the path table together forming a dual representation of the generalized DAG. 11. The method of claim 1 , wherein the retrieving comprises retrieving inference chains and sub-DAGs using the path table, and the method further comprises collecting statistical information for the generalized DAG using the adjacency list.
| 0.668044 |
9,092,437 | 9 | 14 |
9. A system for creating one or more “experience streams” for use in enabling interactive narratives, comprising: a computing device configured to define an “experience stream” as including a set of “data binding” elements that define and populate an environment through which the experience stream runs and a set of “trajectory” elements comprising any combination of “keyframes”, “transitions”, and “markers”; wherein the set of data binding elements further includes “environment data” comprising elements including any combination of images, video, and audio; wherein the set of data binding elements further includes zero or more “artifacts” comprising one or more objects logically embedded in an image; wherein the set of data binding elements further includes zero or more highlighted regions within an image; said keyframes each comprising information states that define states of corresponding elements of the environment data at one or more points in time; wherein the set of trajectory elements are used to structure how the experience stream evolves as a function of narrative time; said “markers” being used to specify a particular point in a logical sequence of an interactive narrative constructed by combining multiple experience streams; and wherein multiple experience streams are mapped to different viewports in the environment using layout constraints that dictate a size and position of each viewport relative to each other viewport in the environment.
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9. A system for creating one or more “experience streams” for use in enabling interactive narratives, comprising: a computing device configured to define an “experience stream” as including a set of “data binding” elements that define and populate an environment through which the experience stream runs and a set of “trajectory” elements comprising any combination of “keyframes”, “transitions”, and “markers”; wherein the set of data binding elements further includes “environment data” comprising elements including any combination of images, video, and audio; wherein the set of data binding elements further includes zero or more “artifacts” comprising one or more objects logically embedded in an image; wherein the set of data binding elements further includes zero or more highlighted regions within an image; said keyframes each comprising information states that define states of corresponding elements of the environment data at one or more points in time; wherein the set of trajectory elements are used to structure how the experience stream evolves as a function of narrative time; said “markers” being used to specify a particular point in a logical sequence of an interactive narrative constructed by combining multiple experience streams; and wherein multiple experience streams are mapped to different viewports in the environment using layout constraints that dictate a size and position of each viewport relative to each other viewport in the environment. 14. The system of claim 9 wherein one or more of the experience streams supports user pause-and-explore type operations while the user is viewing the interactive narrative.
| 0.785 |
7,535,844 | 16 | 17 |
16. The circuit of claim 15 , wherein the decoders resolve the character types from a group consisting of the SOF character, the EOF character, valid data characters, and an idle character; and the parser invalidates those of the characters determined to be outside a frame delineated by at least one of the SOF character and the EOF character detected.
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16. The circuit of claim 15 , wherein the decoders resolve the character types from a group consisting of the SOF character, the EOF character, valid data characters, and an idle character; and the parser invalidates those of the characters determined to be outside a frame delineated by at least one of the SOF character and the EOF character detected. 17. The circuit of claim 16 , wherein the packer is configured to pack the valid data characters of the characters determined to be inside the frame after being decoded, and to align the valid data characters packed with one of a left or right alignment; and the generator is configured to provide the SOF character as a second sideband signal associated with the valid data group for the sideband encapsulation.
| 0.5 |
8,719,298 | 11 | 16 |
11. In a computing environment, a system comprising, at least one processor, a memory communicatively connected to the at least one processor and including components comprising, a feature extraction mechanism configured to obtain features for a search query in which the features comprise a query-only feature set, a query-context feature set comprising textual context-related features of query keyword data, and a corpus frequency feature set comprising features tracking one or more query keywords over time, a classifier configured to output classification output based upon the features and constructed by detecting changes between dynamic data from at least one data source that has been updated within a configurable time period and static reference data from at least one other data source that has not been updated within the configurable time period, the classification output corresponding to a probability that specialized content will be clicked on if returned, and decision logic that uses the classification output to determine whether to return the specialized content as part of a set of results returned in response to the query.
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11. In a computing environment, a system comprising, at least one processor, a memory communicatively connected to the at least one processor and including components comprising, a feature extraction mechanism configured to obtain features for a search query in which the features comprise a query-only feature set, a query-context feature set comprising textual context-related features of query keyword data, and a corpus frequency feature set comprising features tracking one or more query keywords over time, a classifier configured to output classification output based upon the features and constructed by detecting changes between dynamic data from at least one data source that has been updated within a configurable time period and static reference data from at least one other data source that has not been updated within the configurable time period, the classification output corresponding to a probability that specialized content will be clicked on if returned, and decision logic that uses the classification output to determine whether to return the specialized content as part of a set of results returned in response to the query. 16. The system of claim 11 further comprising, means for updating the corpus of events.
| 0.774611 |
8,973,013 | 6 | 8 |
6. A process for supporting computing infrastructure, the process comprising: providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code in a computer comprising a central processing unit (CPU), wherein the CPU carries out instructions contained in the code causing the computer to perform a method of generating an analytic solution, the method comprising the steps of: displaying in a user interface a plurality of input data sources and a plurality of output types; receiving, via the user interface, a selection by a user of one of the displayed plurality of input data sources and a selection by the user of one of the displayed plurality of output types; based in part on the selected output type and the selected input data source, executing a back chain reasoning process based on the selected output type and the selected input data source; based on the back chain reasoning process, determining (1) a final step of a workflow being a web service or a web-based applet generating output of the selected output type, (2) an initial step of the workflow being a web service or a web-based applet collecting input data from the selected input data source, (3) first multiple web services or web-based applets, each of the first multiple web services or web-based applets being a potential first intermediary step in the workflow between the initial and final steps, and (4) second multiple web services or web-based applets, each of the second multiple web services or web-based applets being a potential second intermediary step in the workflow between the initial and final steps, and the first and second multiple web services or web-based applets based in part on a description of input to the web service or web-based applet generating the output of the selected output type and a description of output of the web service or web-based applet collecting the input data from the selected input data source; displaying in the user interface the first and second multiple web services or web-based applets; receiving, via the user interface displaying the first and second multiple web services or web-based applets, a first selection by the user of a first web service or a first web-based applet as a first intermediary step in the workflow, the first web service being selected from the displayed first multiple web services or the first web-based applet being selected from the displayed first multiple web-based applets; receiving, via the user interface displaying the first and second multiple web services or web-based applets, a second selection by the user of a second web service or a second web-based applet as a second intermediary step in the workflow, the second web service being selected from the displayed second multiple web services, or the second web-based applet being selected from the displayed second multiple web-based applets, the second intermediary step being different from the first intermediary step and the second selection being different from the first selection; executing the workflow that includes the initial step, the first web service or the first web-based applet as the first intermediary step, the second web service or the second web-based applet as the second intermediary step, and the final step; determining the output generated by the final step of the executed workflow that includes the first web service or the first web-based applet as the first intermediary step and further includes the second web service or the second web-based applet as the second intermediary step does not satisfy a business objective; in response to the output not satisfying the business objective, receiving, via the user interface displaying the first multiple web services or web-based applets and displaying the second selection of the second web service or the second web-based applet, a third selection by the user of a third web service or a third web-based applet as a replacement of the first selection as the first intermediary step in the workflow, the third web service being selected from the displayed first multiple web services, or the third web-based applet being selected from the displayed first multiple web-based applets, and the third selection being different from the first selection; updating the workflow to include the initial step, the third web service or the third web-based applet as the first intermediary step, the second web service or the second web-based applet as the second intermediary step, and the final step, the third web service or the third web-based applet being a replacement of the first web service or the first web-based applet as the first intermediary step in the workflow, and the second web service or the second web-based applet being unchanged from the second intermediary step in the workflow executed prior to the step of updating; executing the updated workflow; determining the output generated by the final step of the executed updated workflow that includes the third web service or the third web-based applet as the first intermediary step and the second web service or the second web-based applet as the second intermediary step satisfies the business objective; and based on the output generated by the final step of the executed updated workflow satisfying the business objective, determining the updated workflow is the analytic solution; determining a report generation web service whose output is a report that includes correlations and connections among categories and features of data from the selected input data source, wherein the step of receiving the selection of one of the displayed plurality of output types includes receiving a selection of the report that includes the correlations and the connections among the categories and the features of the data from the selected input data source; based on the selected input data source being a collection of documents, determining that one or more taxonomies over the collection of documents is an input required by the report generation web service, the one or more taxonomies divide the data into meaningful groups characterized by the categories and the features, wherein the step of receiving the selection of one of the displayed plurality of input data sources includes receiving a selection of the collection of documents; determining a taxonomy creation web service whose output is the input required by the report generation web service; determining that relevant content is an input required by the taxonomy creation web service, the relevant content being content that is from a selected subset of the documents and that remains after a systematic removal of irrelevant content from the selected subset of the documents using clustering or rule-based filters; determining an irrelevant content removal web service whose output is the input required by the taxonomy creation web service; determining the selected subset of the documents is an input required by the irrelevant content removal web service, the selected subset of the documents being selected from the collection of documents based on a keyword, a structure, and a category of the one or more taxonomies; determining a document subset selection web service whose output is the input required by the irrelevant content removal web service and whose required input is the collection of documents; and determining an ordered arrangement of web services which is (1) the document subset selection web service, (2) the irrelevant content removal web service, (3) the taxonomy creation web service, and (4) the report generation web service, wherein the step of determining the final step of the workflow includes the step of determining the report generation web service, and wherein the step of determining the initial step of the workflow includes determining the document subset selection web service.
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6. A process for supporting computing infrastructure, the process comprising: providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code in a computer comprising a central processing unit (CPU), wherein the CPU carries out instructions contained in the code causing the computer to perform a method of generating an analytic solution, the method comprising the steps of: displaying in a user interface a plurality of input data sources and a plurality of output types; receiving, via the user interface, a selection by a user of one of the displayed plurality of input data sources and a selection by the user of one of the displayed plurality of output types; based in part on the selected output type and the selected input data source, executing a back chain reasoning process based on the selected output type and the selected input data source; based on the back chain reasoning process, determining (1) a final step of a workflow being a web service or a web-based applet generating output of the selected output type, (2) an initial step of the workflow being a web service or a web-based applet collecting input data from the selected input data source, (3) first multiple web services or web-based applets, each of the first multiple web services or web-based applets being a potential first intermediary step in the workflow between the initial and final steps, and (4) second multiple web services or web-based applets, each of the second multiple web services or web-based applets being a potential second intermediary step in the workflow between the initial and final steps, and the first and second multiple web services or web-based applets based in part on a description of input to the web service or web-based applet generating the output of the selected output type and a description of output of the web service or web-based applet collecting the input data from the selected input data source; displaying in the user interface the first and second multiple web services or web-based applets; receiving, via the user interface displaying the first and second multiple web services or web-based applets, a first selection by the user of a first web service or a first web-based applet as a first intermediary step in the workflow, the first web service being selected from the displayed first multiple web services or the first web-based applet being selected from the displayed first multiple web-based applets; receiving, via the user interface displaying the first and second multiple web services or web-based applets, a second selection by the user of a second web service or a second web-based applet as a second intermediary step in the workflow, the second web service being selected from the displayed second multiple web services, or the second web-based applet being selected from the displayed second multiple web-based applets, the second intermediary step being different from the first intermediary step and the second selection being different from the first selection; executing the workflow that includes the initial step, the first web service or the first web-based applet as the first intermediary step, the second web service or the second web-based applet as the second intermediary step, and the final step; determining the output generated by the final step of the executed workflow that includes the first web service or the first web-based applet as the first intermediary step and further includes the second web service or the second web-based applet as the second intermediary step does not satisfy a business objective; in response to the output not satisfying the business objective, receiving, via the user interface displaying the first multiple web services or web-based applets and displaying the second selection of the second web service or the second web-based applet, a third selection by the user of a third web service or a third web-based applet as a replacement of the first selection as the first intermediary step in the workflow, the third web service being selected from the displayed first multiple web services, or the third web-based applet being selected from the displayed first multiple web-based applets, and the third selection being different from the first selection; updating the workflow to include the initial step, the third web service or the third web-based applet as the first intermediary step, the second web service or the second web-based applet as the second intermediary step, and the final step, the third web service or the third web-based applet being a replacement of the first web service or the first web-based applet as the first intermediary step in the workflow, and the second web service or the second web-based applet being unchanged from the second intermediary step in the workflow executed prior to the step of updating; executing the updated workflow; determining the output generated by the final step of the executed updated workflow that includes the third web service or the third web-based applet as the first intermediary step and the second web service or the second web-based applet as the second intermediary step satisfies the business objective; and based on the output generated by the final step of the executed updated workflow satisfying the business objective, determining the updated workflow is the analytic solution; determining a report generation web service whose output is a report that includes correlations and connections among categories and features of data from the selected input data source, wherein the step of receiving the selection of one of the displayed plurality of output types includes receiving a selection of the report that includes the correlations and the connections among the categories and the features of the data from the selected input data source; based on the selected input data source being a collection of documents, determining that one or more taxonomies over the collection of documents is an input required by the report generation web service, the one or more taxonomies divide the data into meaningful groups characterized by the categories and the features, wherein the step of receiving the selection of one of the displayed plurality of input data sources includes receiving a selection of the collection of documents; determining a taxonomy creation web service whose output is the input required by the report generation web service; determining that relevant content is an input required by the taxonomy creation web service, the relevant content being content that is from a selected subset of the documents and that remains after a systematic removal of irrelevant content from the selected subset of the documents using clustering or rule-based filters; determining an irrelevant content removal web service whose output is the input required by the taxonomy creation web service; determining the selected subset of the documents is an input required by the irrelevant content removal web service, the selected subset of the documents being selected from the collection of documents based on a keyword, a structure, and a category of the one or more taxonomies; determining a document subset selection web service whose output is the input required by the irrelevant content removal web service and whose required input is the collection of documents; and determining an ordered arrangement of web services which is (1) the document subset selection web service, (2) the irrelevant content removal web service, (3) the taxonomy creation web service, and (4) the report generation web service, wherein the step of determining the final step of the workflow includes the step of determining the report generation web service, and wherein the step of determining the initial step of the workflow includes determining the document subset selection web service. 8. The process of claim 6 , wherein the step of displaying the plurality of output types includes displaying, in the user interface, output types consisting of a trend chart and a contingency table.
| 0.735294 |
9,116,877 | 13 | 14 |
13. A process for determining whether a text in digital form is deceptive, comprising: automatically and programmatically establishing a set of cues in a computing device; and evaluating, via a computing device, whether the text is deceptive based on an automated, programmatic Markov chain evaluation of cue sequences in the digital text; determining the number of words n in the text; assigning a state to each word 1 . . . n in the text according to whether the word is within a particular cue category; computing, via the computing device, the probabilities of n consecutive transitions, P ndec and P ntru , according to the equation: p l ( s 1 , s 2 , … s l ) = π s 1 ∑ j = 1 l - I p s i , s i + 1 for all p 1 within the text, utilizing a first transition probability matrix P dec , comprising an average of transition probablility matrices determined from an evaluation of deceptive texts from a database of deceptive texts, and a second transition probability matrix P tru , comprising an average of transition probability matrices determined from an evaluation of true texts from a database of true texts.
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13. A process for determining whether a text in digital form is deceptive, comprising: automatically and programmatically establishing a set of cues in a computing device; and evaluating, via a computing device, whether the text is deceptive based on an automated, programmatic Markov chain evaluation of cue sequences in the digital text; determining the number of words n in the text; assigning a state to each word 1 . . . n in the text according to whether the word is within a particular cue category; computing, via the computing device, the probabilities of n consecutive transitions, P ndec and P ntru , according to the equation: p l ( s 1 , s 2 , … s l ) = π s 1 ∑ j = 1 l - I p s i , s i + 1 for all p 1 within the text, utilizing a first transition probability matrix P dec , comprising an average of transition probablility matrices determined from an evaluation of deceptive texts from a database of deceptive texts, and a second transition probability matrix P tru , comprising an average of transition probability matrices determined from an evaluation of true texts from a database of true texts. 14. The method of claim 13 , further comprising: labeling the text as deceptive where P ndec >P ntru .
| 0.5 |
10,009,504 | 1 | 2 |
1. A method for processing a plurality of references included in a document, the method comprising: receiving a job request including a document for processing from a user, wherein the document comprises at least one of: a hardcopy document and a digital document, wherein the document comprises one or more references; prompting the user to select a reference processing option when the user wants at least one reference of the document to be processed; based on the selection of the reference processing option, determining the one or more references included in the document; based on the determined one or more references, searching for a referred content information corresponding to each of the one or more references; and presenting the referred content information along with one or more options including at least one of: a print option, a save option and a send option to the user.
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1. A method for processing a plurality of references included in a document, the method comprising: receiving a job request including a document for processing from a user, wherein the document comprises at least one of: a hardcopy document and a digital document, wherein the document comprises one or more references; prompting the user to select a reference processing option when the user wants at least one reference of the document to be processed; based on the selection of the reference processing option, determining the one or more references included in the document; based on the determined one or more references, searching for a referred content information corresponding to each of the one or more references; and presenting the referred content information along with one or more options including at least one of: a print option, a save option and a send option to the user. 2. The method of claim 1 , wherein the referred content information along with one or more options including at least one of a print option, a save option and a send option are presented via a user interface of a multi-function device, wherein the referred content information further comprises a purchase information for purchasing the referred content and a download information for downloading the referred content.
| 0.5 |
7,890,505 | 11 | 20 |
11. An article of manufacture comprising a computer-readable storage device storing computer-readable instructions which, when executed, cause one or more processing devices to perform the following: access information indicating which documents in a set of documents were selected by a user for viewing and which documents in the set of documents were not selected by the user for viewing, wherein each of the documents in the set of documents is associated with a category; generate at least one positive word vector using words contained in at least a segment of at least one of the documents that was selected by the user for viewing; generate at least one negative word vector using words contained in at least a segment of at least one the documents that was not selected by the user for viewing; generate document word vectors for at least some of the documents that were selected by the user for viewing; perform a vector space relationship analysis of the positive word vector, the negative word vector, and the document word vectors; establish a document rank order of the documents selected by the user for viewing based on the performed vector space relationship analysis; rank the categories associated with the documents in the set of documents based on the document rank order; and create an advertising profile for the user, the advertising profile comprising the ranked categories.
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11. An article of manufacture comprising a computer-readable storage device storing computer-readable instructions which, when executed, cause one or more processing devices to perform the following: access information indicating which documents in a set of documents were selected by a user for viewing and which documents in the set of documents were not selected by the user for viewing, wherein each of the documents in the set of documents is associated with a category; generate at least one positive word vector using words contained in at least a segment of at least one of the documents that was selected by the user for viewing; generate at least one negative word vector using words contained in at least a segment of at least one the documents that was not selected by the user for viewing; generate document word vectors for at least some of the documents that were selected by the user for viewing; perform a vector space relationship analysis of the positive word vector, the negative word vector, and the document word vectors; establish a document rank order of the documents selected by the user for viewing based on the performed vector space relationship analysis; rank the categories associated with the documents in the set of documents based on the document rank order; and create an advertising profile for the user, the advertising profile comprising the ranked categories. 20. The manufacture of claim 11 wherein the segment is one or more of a headline of the document, a lead of the document, or a summary of the document.
| 0.896717 |
8,645,825 | 31 | 35 |
31. A computer storage medium encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving, by the one or more computers, an n-gram of characters; identifying, in a local cache of the one or more computers, cached autocomplete suggestions for the n-gram; requesting, at a first time and over a network, additional autocomplete suggestions for the n-gram; preventing, by the one or more computers, presentation of the cached autocomplete suggestions until a presentation event occurs, wherein the presentation event comprises (i) receiving the requested additional autocomplete suggestions by the one or more computers or (ii) the end of a predetermined period after the first time; determining that the presentation event has occurred; and in response to determining that the presentation event has occurred, presenting one or more of the cached autocomplete suggestions or the additional autocomplete suggestions.
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31. A computer storage medium encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving, by the one or more computers, an n-gram of characters; identifying, in a local cache of the one or more computers, cached autocomplete suggestions for the n-gram; requesting, at a first time and over a network, additional autocomplete suggestions for the n-gram; preventing, by the one or more computers, presentation of the cached autocomplete suggestions until a presentation event occurs, wherein the presentation event comprises (i) receiving the requested additional autocomplete suggestions by the one or more computers or (ii) the end of a predetermined period after the first time; determining that the presentation event has occurred; and in response to determining that the presentation event has occurred, presenting one or more of the cached autocomplete suggestions or the additional autocomplete suggestions. 35. The computer storage medium of claim 31 , wherein preventing, by the one or more computers, presentation of the cached autocomplete suggestions until the presentation event occurs, wherein the presentation event comprises (i) receiving the requested additional autocomplete suggestions by the computing device or (ii) the end of a predetermined period after the first time comprises: preventing, by the one or more computers, presentation of the cached autocomplete suggestions until the earlier of (i) receiving the requested additional autocomplete suggestions by the computing device and (ii) the end of the predetermined period after the first time.
| 0.5 |
8,560,519 | 3 | 4 |
3. The method of claim 2 , further comprising: creating another virtual document representing an external data source linked to the relevant first document; and including the other virtual document in indexing the search results.
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3. The method of claim 2 , further comprising: creating another virtual document representing an external data source linked to the relevant first document; and including the other virtual document in indexing the search results. 4. The method of claim 3 , further comprising: rendering a relationship between at least one of: the relevant first document and the second document, and the relevant first document and the third document employing the virtual document and the other virtual document.
| 0.567961 |
8,117,026 | 12 | 13 |
12. The string matching method of claim 9 , wherein the determining the representative string comprises determining a representative string included in one of the records included in the candidate list as the output representative string based on the matching scores.
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12. The string matching method of claim 9 , wherein the determining the representative string comprises determining a representative string included in one of the records included in the candidate list as the output representative string based on the matching scores. 13. The string matching method of claim 12 , wherein the determining the representative string further comprises: if none of the phonetic symbol strings included in the candidate list exceed a reference value, determining the input string as the output representative string, and, if the input string is determined as the output representative string, the storing the input string and the output representative string in the previous results database further comprises storing the input string in the representative list DB together with the phonetic symbol string with a highest matching score among the phonetic symbol strings included in the candidate list.
| 0.5 |
9,983,849 | 1 | 4 |
1. A mobile device news reader, comprising: at least one processor; at least one database coupled to the at least one processor; a text-to-speech engine embedded in the mobile device and executable by the at least one processor to convert text data stored in the at least one database to a speech-based output; a speech-to-text engine embedded in the mobile device and executable by the at least one processor to process a voice command input received from a user of the device and generate data in the form of text that corresponds to the received voice command input; and non-transient memory coupled to the at least one processor that stores program instructions, which, when executed by the at least one processor, cause the at least one processor to: receive text-based news articles and text-based headlines associated with the news articles over a network from a remote server, store an identification of a single, unique, system-wide, and context-independent voice command input for use to select text-based news articles for output by the speech-to-text engine, to select menu options, and to modify output settings, store a list of the received news articles correlated with a list of the received headlines in the at least one database, and without utilizing a connection to the network, retrieve the list of headlines from the at least one database, enter a first list-pause cycle comprising: a list-pause that comprises: outputting, via the text-to-speech engine, a headline from the list of received headlines; and a pause of a predetermined length of time; repeating the list-pause, each repetition of the list-pause outputting a different next headline from the list of received headlines, until determining that the single, unique, system-wide, and context-independent voice command input has been spoken during the pause of a most recent list-pause; and responsive to determining that the single, unique, system-wide, and context-independent voice command input has been spoken during the pause of the most recent list-pause, outputting, via the text-to-speech engine, at least a portion of the news article from the sequence of news articles correlated with the headline output during that most recent list-pause; enter a second list-pause cycle comprising: a list-pause comprising: outputting, via the text-to-speech engine, an identifier of a menu option; and a pause of a predetermined length of time; repeating the list-pause, each repetition of the list-pause outputting a different next identifier of a menu option, until that the single, unique, system-wide, and context-independent voice command input has been spoken during the pause of a most recent list-pause; and responsive to determining that the single, unique, system-wide, and context-independent voice command input has been spoken during the pause of the most recent list-pause, navigating to a different menu or mode of the news reader associated with the identifier output during that list-pause; and enter a third list-pause cycle comprising: a list-pause comprising: outputting, via the text-to-speech engine, an identifier of an output setting; and a pause of a predetermined length of time; repeating the list-pause, each repetition of the list-pause outputting a different next identifier of an output setting, until determining that the single, unique, system-wide, and context-independent voice command input has been spoken during the pause of a most recent list-pause; and responsive to determining that the single, unique, system-wide, and context-independent voice command input has been spoken during the pause of the most recent list-pause, modifying an output setting of the text-to-speech engine to match a setting associated with the identifier output during that list-pause.
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1. A mobile device news reader, comprising: at least one processor; at least one database coupled to the at least one processor; a text-to-speech engine embedded in the mobile device and executable by the at least one processor to convert text data stored in the at least one database to a speech-based output; a speech-to-text engine embedded in the mobile device and executable by the at least one processor to process a voice command input received from a user of the device and generate data in the form of text that corresponds to the received voice command input; and non-transient memory coupled to the at least one processor that stores program instructions, which, when executed by the at least one processor, cause the at least one processor to: receive text-based news articles and text-based headlines associated with the news articles over a network from a remote server, store an identification of a single, unique, system-wide, and context-independent voice command input for use to select text-based news articles for output by the speech-to-text engine, to select menu options, and to modify output settings, store a list of the received news articles correlated with a list of the received headlines in the at least one database, and without utilizing a connection to the network, retrieve the list of headlines from the at least one database, enter a first list-pause cycle comprising: a list-pause that comprises: outputting, via the text-to-speech engine, a headline from the list of received headlines; and a pause of a predetermined length of time; repeating the list-pause, each repetition of the list-pause outputting a different next headline from the list of received headlines, until determining that the single, unique, system-wide, and context-independent voice command input has been spoken during the pause of a most recent list-pause; and responsive to determining that the single, unique, system-wide, and context-independent voice command input has been spoken during the pause of the most recent list-pause, outputting, via the text-to-speech engine, at least a portion of the news article from the sequence of news articles correlated with the headline output during that most recent list-pause; enter a second list-pause cycle comprising: a list-pause comprising: outputting, via the text-to-speech engine, an identifier of a menu option; and a pause of a predetermined length of time; repeating the list-pause, each repetition of the list-pause outputting a different next identifier of a menu option, until that the single, unique, system-wide, and context-independent voice command input has been spoken during the pause of a most recent list-pause; and responsive to determining that the single, unique, system-wide, and context-independent voice command input has been spoken during the pause of the most recent list-pause, navigating to a different menu or mode of the news reader associated with the identifier output during that list-pause; and enter a third list-pause cycle comprising: a list-pause comprising: outputting, via the text-to-speech engine, an identifier of an output setting; and a pause of a predetermined length of time; repeating the list-pause, each repetition of the list-pause outputting a different next identifier of an output setting, until determining that the single, unique, system-wide, and context-independent voice command input has been spoken during the pause of a most recent list-pause; and responsive to determining that the single, unique, system-wide, and context-independent voice command input has been spoken during the pause of the most recent list-pause, modifying an output setting of the text-to-speech engine to match a setting associated with the identifier output during that list-pause. 4. The mobile device news reader of claim 1 , further comprising: a display screen coupled to the at least one processor; and wherein the program instructions are further configured to cause the at least one processor to provide a visual display of voice commands available to the user on the display screen.
| 0.5 |
8,972,395 | 22 | 24 |
22. A computer-implemented method for enabling Internet users to interact with a graphical search interface, the method comprising: receiving, from a user over an electronic network, an initial search parameter to use for a search; identifying, using a search engine database, a plurality of related search parameters to use for the search, based on the received initial search parameter; generating, by a processor, a multi-dimensional search space having a perimeter defined by the received initial search parameter and the plurality of related search parameters; transmitting, for display to the user over the network, a graphical interface projecting the multi-dimensional search space, along with a plurality of user elements corresponding to the received initial search parameter and the plurality of related search parameters by which the user may adjust a relative weight of one or more of the received initial search parameter and the plurality of related search parameters, wherein the relative weight of each of the received initial search parameter and the plurality of related search parameters is calculated based on one or both of (i) a spatial distance between each of the received initial search parameter and the plurality of related search parameters of the perimeter and a radial center of the multi-dimensional search space; and (ii) a spatial distance and an angle between two or more of each of the received initial search parameter and the plurality of related search parameters of the perimeter; and transmitting, for display to the user over the network, a plurality of search results automatically updated in real time based on the user-adjusted weights of at least one of the received initial search parameter and the plurality of related search parameters.
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22. A computer-implemented method for enabling Internet users to interact with a graphical search interface, the method comprising: receiving, from a user over an electronic network, an initial search parameter to use for a search; identifying, using a search engine database, a plurality of related search parameters to use for the search, based on the received initial search parameter; generating, by a processor, a multi-dimensional search space having a perimeter defined by the received initial search parameter and the plurality of related search parameters; transmitting, for display to the user over the network, a graphical interface projecting the multi-dimensional search space, along with a plurality of user elements corresponding to the received initial search parameter and the plurality of related search parameters by which the user may adjust a relative weight of one or more of the received initial search parameter and the plurality of related search parameters, wherein the relative weight of each of the received initial search parameter and the plurality of related search parameters is calculated based on one or both of (i) a spatial distance between each of the received initial search parameter and the plurality of related search parameters of the perimeter and a radial center of the multi-dimensional search space; and (ii) a spatial distance and an angle between two or more of each of the received initial search parameter and the plurality of related search parameters of the perimeter; and transmitting, for display to the user over the network, a plurality of search results automatically updated in real time based on the user-adjusted weights of at least one of the received initial search parameter and the plurality of related search parameters. 24. The computer-implemented method of claim 22 , wherein the perimeter of the multi-dimensional search space has a plurality of vertices, each vertex of the plurality of vertices representing one of the received initial search parameter and the plurality of related search parameters employed in the search initiated by the user.
| 0.62754 |
9,130,975 | 1 | 3 |
1. A method comprising: receiving at a macro recorder a request to start recording one or more communication exchanges between a web browser and a server; sending a communication from the web browser in a first format to the server, wherein the first format is at least one of a content format and a protocol, the first format is one of HTML and XHTML, and the first format comprises human-readable Application Programming Interface (API) documentation about a user interaction with the server; recording by the macro recorder at least part of the communication; receiving at the web browser a response to the communication sent from the server, the response being sent from the server and received at the web browser and the response comprising the first format and a second format, wherein the second format is at least one of a content format and a protocol and is different than the first format, and the second format is not parsable by the web browser, and the first format in combination with the second format describes the machine-readable API about the user interaction with the server; sending a request to send a response with a specific type of second format and determining from the specific type of second format in the response a computer language to normalize a representation of the response; parsing in a micro browser the response in the second format to produce the normalized representation of the response; and generating in the macro recorder, a macro, wherein the macro is created based on the at least part of the communication and the normalized representation of the response.
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1. A method comprising: receiving at a macro recorder a request to start recording one or more communication exchanges between a web browser and a server; sending a communication from the web browser in a first format to the server, wherein the first format is at least one of a content format and a protocol, the first format is one of HTML and XHTML, and the first format comprises human-readable Application Programming Interface (API) documentation about a user interaction with the server; recording by the macro recorder at least part of the communication; receiving at the web browser a response to the communication sent from the server, the response being sent from the server and received at the web browser and the response comprising the first format and a second format, wherein the second format is at least one of a content format and a protocol and is different than the first format, and the second format is not parsable by the web browser, and the first format in combination with the second format describes the machine-readable API about the user interaction with the server; sending a request to send a response with a specific type of second format and determining from the specific type of second format in the response a computer language to normalize a representation of the response; parsing in a micro browser the response in the second format to produce the normalized representation of the response; and generating in the macro recorder, a macro, wherein the macro is created based on the at least part of the communication and the normalized representation of the response. 3. The method of claim 1 , wherein the communication further comprises the second format, and wherein the micro browser creates a normalized representation of the communication based on the second format and the macro recorder creates the macro based on the normalized representation of the communication and the normalized representation of the response.
| 0.5 |
9,400,789 | 26 | 27 |
26. The computer-implemented method of claim 25 , further comprising assigning to the particular author profile one or more additional document groups, comprising: determining a correspondence score for each of one or more of the document groups in reference to the particular author profile; determining that the correspondence score for a first document group of the one or more document groups satisfies a threshold; and adding documents in the first document group to the particular author profile as documents authored by the particular author.
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26. The computer-implemented method of claim 25 , further comprising assigning to the particular author profile one or more additional document groups, comprising: determining a correspondence score for each of one or more of the document groups in reference to the particular author profile; determining that the correspondence score for a first document group of the one or more document groups satisfies a threshold; and adding documents in the first document group to the particular author profile as documents authored by the particular author. 27. The computer-implemented method of claim 26 , wherein the correspondence score for each document group is based on a count of documents that are in both the document group and in the particular author profile, a count of documents that are in the document group and have never been in the particular author profile, and a count of documents that are in the document group and have been removed from the particular author profile.
| 0.5 |
9,659,563 | 1 | 7 |
1. A method comprising: receiving a request from a client device at a server to view first content containing regions of the world comprising: for a first region of the regions of the world, determining to include in the viewed first content the first region when the first region includes at least one user-provided voice recording in a language; and determining to exclude from the viewed first content the first region when the first region does not include at least one user-provided voice recording in the language; transmitting from the server to the client device the first content containing the regions of which region-specific user-provided voice recordings of phrases of a language are available; receiving a request from the client device at the server to view second content containing a list of phrases and user-provided voice recordings associated with each of the phrases, for a region of the first content selected by a user at the client device; and transmitting to the client device from the server the second content containing the list of phrases and user-provided voice recordings associated with each of the phrases, for the region of the first content selected by the user.
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1. A method comprising: receiving a request from a client device at a server to view first content containing regions of the world comprising: for a first region of the regions of the world, determining to include in the viewed first content the first region when the first region includes at least one user-provided voice recording in a language; and determining to exclude from the viewed first content the first region when the first region does not include at least one user-provided voice recording in the language; transmitting from the server to the client device the first content containing the regions of which region-specific user-provided voice recordings of phrases of a language are available; receiving a request from the client device at the server to view second content containing a list of phrases and user-provided voice recordings associated with each of the phrases, for a region of the first content selected by a user at the client device; and transmitting to the client device from the server the second content containing the list of phrases and user-provided voice recordings associated with each of the phrases, for the region of the first content selected by the user. 7. The method of claim 1 comprising: receiving at the server from the client device a user selection of a phrase and the user's voice recording of the phrase.
| 0.800505 |
8,811,946 | 6 | 7 |
6. An apparatus according to claim 1 , further comprising a setting unit constructed to set the display language, wherein the control unit inhibits the change in the display language by the setting unit until the authentication by the authenticating unit is successful.
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6. An apparatus according to claim 1 , further comprising a setting unit constructed to set the display language, wherein the control unit inhibits the change in the display language by the setting unit until the authentication by the authenticating unit is successful. 7. An apparatus according to claim 6 , further comprising a slot for inserting the storage medium thereinto, and an operating unit constructed to turn on a power source of the apparatus, wherein the authenticating unit makes the authentication each time the power source is turned on by the operating unit, and wherein according to the turn-on of the power source, the control unit discriminates whether or not the storage medium has been replaced after the authentication by the authenticating unit is successful, if the storage medium is not replaced, the control unit generates the display signal of the authenticating display screen of the display language set by the setting unit, and if the storage medium has been replaced, the control unit generates the display signal of the authenticating display screen of the display language decided by using the read-out communication carrier identification information.
| 0.5 |
9,870,501 | 7 | 8 |
7. The method according to claim 1 , wherein to the at least one gesture a data input information item is allocated as input information, and an inputting of data in the value-document processing apparatus is effected on the basis of the data input information item.
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7. The method according to claim 1 , wherein to the at least one gesture a data input information item is allocated as input information, and an inputting of data in the value-document processing apparatus is effected on the basis of the data input information item. 8. The method according to claim 7 , wherein the data input information concerns a property of a processed value document.
| 0.861678 |
7,813,920 | 13 | 14 |
13. The system of claim 11 , wherein the recognizer receives data from at least one of the following: an application wordlist, a system lexicon and personalized data.
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13. The system of claim 11 , wherein the recognizer receives data from at least one of the following: an application wordlist, a system lexicon and personalized data. 14. The system of claim 13 , wherein the personalized data harvests data from at least one of the following: one or more electronic mail (Email) messages, a browser history, and a contacts list.
| 0.5 |
8,041,701 | 1 | 9 |
1. A method for visually displaying search results comprising: receiving, by a processor from a first search engine, first search result data; determining, by the processor, search query information from said first search result data; transmitting said search query information to a second search engine; receiving, from said second search engine, second search result data identifying a plurality of webpages; determining network address information for a webpage of said plurality of webpages from the second search result data; retrieving, at a first location, said webpage using said network address information determined from the second search result data; creating, at said first location, a reduced size representation of said webpage as it would currently appear if presently displayed; and displaying, at said first location, said representation of said webpage from the second search result data and said first search result data.
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1. A method for visually displaying search results comprising: receiving, by a processor from a first search engine, first search result data; determining, by the processor, search query information from said first search result data; transmitting said search query information to a second search engine; receiving, from said second search engine, second search result data identifying a plurality of webpages; determining network address information for a webpage of said plurality of webpages from the second search result data; retrieving, at a first location, said webpage using said network address information determined from the second search result data; creating, at said first location, a reduced size representation of said webpage as it would currently appear if presently displayed; and displaying, at said first location, said representation of said webpage from the second search result data and said first search result data. 9. The method of claim 1 , further comprising: in response to receiving the first search result data from the first search engine, executing comparative search instructions for analyzing the first search result data from the first search engine to determine the search query information.
| 0.542994 |
9,614,690 | 1 | 4 |
1. A building-specific device interaction method comprising: obtaining, by a dialog interaction engine, input signals from a multi-modal interface; retrieving, by the dialog interaction engine, a building-specific location vocabulary associated with a building; identifying, by the dialog interaction engine, based on the input signals at least one domain specific vocabulary library having a vocabulary relevant to a specific domain; converting, by the dialog interaction engine, the input signals into a query by mapping the input signals to an interaction object using at least one of the building-specific location vocabulary library and the domain specific vocabulary, the query comprising a digital representation of a semantic meaning of the input signal; retrieving, by the dialog interaction engine, at least one interaction rule object from an interaction guide library in response to submitting the query to an interaction guide library; generating at least one device command from the at least one interaction rule object and from the input signals; and configuring, by the dialog interaction engine and via a device interface, at least one device to execute the at least one device command.
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1. A building-specific device interaction method comprising: obtaining, by a dialog interaction engine, input signals from a multi-modal interface; retrieving, by the dialog interaction engine, a building-specific location vocabulary associated with a building; identifying, by the dialog interaction engine, based on the input signals at least one domain specific vocabulary library having a vocabulary relevant to a specific domain; converting, by the dialog interaction engine, the input signals into a query by mapping the input signals to an interaction object using at least one of the building-specific location vocabulary library and the domain specific vocabulary, the query comprising a digital representation of a semantic meaning of the input signal; retrieving, by the dialog interaction engine, at least one interaction rule object from an interaction guide library in response to submitting the query to an interaction guide library; generating at least one device command from the at least one interaction rule object and from the input signals; and configuring, by the dialog interaction engine and via a device interface, at least one device to execute the at least one device command. 4. The method of claim 1 , wherein the domain specific vocabulary library includes a vocabulary relevant to a group of people.
| 0.787162 |
9,213,774 | 5 | 10 |
5. The computer-implemented method of claim 1 , wherein the candidate query is further selected in response to determining that a quality score for the revised query is greater than a quality score threshold and that a navigation score for the revised query is greater than a navigation score threshold.
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5. The computer-implemented method of claim 1 , wherein the candidate query is further selected in response to determining that a quality score for the revised query is greater than a quality score threshold and that a navigation score for the revised query is greater than a navigation score threshold. 10. The computer-implemented method of claim 5 , wherein the navigation score for the revised query is determined by: determining a traffic proportion for each resource identified by a search engine in response to the revised query, the traffic proportion being a proportion of traffic from search results generated in response to the query; and the navigation score threshold is a traffic proportion threshold.
| 0.774918 |
5,543,818 | 9 | 18 |
9. A system for entering text into a computer system, including: a processor; a display device connected to the processor; and an input device connected to the processor, said input device including keys, wherein the processor is programmed with software for displaying on the display device a character selection menu including simultaneously displayed groups of character representations, each of said groups including representations of B characters, the characters within each group arranged in a pattern, highlighting a selected one of the groups in response to actuation of a first set of the keys, and selecting a character representation within the selected one of the groups in response to actuation of a one of a second set of the keys, where said second set of the keys consists of B of the keys, where B is a positive integer not less than two, and where said second set of the keys is separate from the display device and is arranged in a pattern corresponding to the pattern of the characters within each group.
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9. A system for entering text into a computer system, including: a processor; a display device connected to the processor; and an input device connected to the processor, said input device including keys, wherein the processor is programmed with software for displaying on the display device a character selection menu including simultaneously displayed groups of character representations, each of said groups including representations of B characters, the characters within each group arranged in a pattern, highlighting a selected one of the groups in response to actuation of a first set of the keys, and selecting a character representation within the selected one of the groups in response to actuation of a one of a second set of the keys, where said second set of the keys consists of B of the keys, where B is a positive integer not less than two, and where said second set of the keys is separate from the display device and is arranged in a pattern corresponding to the pattern of the characters within each group. 18. The system of claim 9, wherein the processor includes means for communicating with a passenger information and entertainment network.
| 0.854873 |
9,189,568 | 7 | 11 |
7. A system comprising at least one server to: receive, for a plurality of item listings within a plurality of categories, item attributes expressed in a plurality of languages, each item attribute comprising an item attribute name and an item attribute value; convert the item attribute names and the item attribute values of the item attributes from the plurality of languages into language-independent symbols and store the item attributes for the plurality of item listings, expressed with the language-independent symbols, in an item listing table; receive one or more search attributes expressed in a language that is different from one or more of the plurality of languages of the item attributes, each search attribute comprising a search attribute name and a search attribute value; convert the search attribute name and the search attribute value of each of the one or more search attributes into the language-independent symbols; perform a search within the item listing table to identify at least one item listing with one or more item attributes expressed in the language-independent symbols that match the one or more search attributes expressed in the language-independent symbols; and display the item attributes of the at least one identified item listing in the language in which the search attributes as received were expressed.
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7. A system comprising at least one server to: receive, for a plurality of item listings within a plurality of categories, item attributes expressed in a plurality of languages, each item attribute comprising an item attribute name and an item attribute value; convert the item attribute names and the item attribute values of the item attributes from the plurality of languages into language-independent symbols and store the item attributes for the plurality of item listings, expressed with the language-independent symbols, in an item listing table; receive one or more search attributes expressed in a language that is different from one or more of the plurality of languages of the item attributes, each search attribute comprising a search attribute name and a search attribute value; convert the search attribute name and the search attribute value of each of the one or more search attributes into the language-independent symbols; perform a search within the item listing table to identify at least one item listing with one or more item attributes expressed in the language-independent symbols that match the one or more search attributes expressed in the language-independent symbols; and display the item attributes of the at least one identified item listing in the language in which the search attributes as received were expressed. 11. The system of claim 7 , wherein the language-independent symbols comprise numbers.
| 0.883784 |
9,697,198 | 1 | 11 |
1. A method for guiding a conversation based on cognitive analytics, the method comprising: receiving, from a conversation interface, while the conversation is continuing, data of the conversation up to a time in the conversation; receiving while the conversation is continuing, current data from a data source, the current data relating to a remote participant in the conversation and a topic in the conversation; computing, as a part of the cognitive analytics, using a processor and a memory, from the current data and the conversation data, a measurement of a sentiment value of the remote participant during the conversation; introducing, while the conversation is continuing, data of a prompt into the conversation, wherein the data of the prompt is configured to cause the conversation to increase the sentiment value of the remote participant; and updating a profile of the remote participant with the sentiment value, to form an updated profile; and using the updated profile as a second data source in a later portion of the conversation.
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1. A method for guiding a conversation based on cognitive analytics, the method comprising: receiving, from a conversation interface, while the conversation is continuing, data of the conversation up to a time in the conversation; receiving while the conversation is continuing, current data from a data source, the current data relating to a remote participant in the conversation and a topic in the conversation; computing, as a part of the cognitive analytics, using a processor and a memory, from the current data and the conversation data, a measurement of a sentiment value of the remote participant during the conversation; introducing, while the conversation is continuing, data of a prompt into the conversation, wherein the data of the prompt is configured to cause the conversation to increase the sentiment value of the remote participant; and updating a profile of the remote participant with the sentiment value, to form an updated profile; and using the updated profile as a second data source in a later portion of the conversation. 11. The method of claim 1 , further comprising: further updating the profile with the data of the prompt.
| 0.872573 |
8,825,639 | 11 | 13 |
11. A non-transitory computer storage medium encoded with instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising: receiving machine-readable member profile information characterizing a first member and a second member in a member network; receiving a first search query submitted by the first member and a second search query submitted by the second member; responding to each of the first search query and the second search query with a) links to a collection of articles and b) one or more links for receiving input characterizing respectively ratings of the first member and ratings of the second member of articles in the collection; receiving a selection by the first member of a link for receiving input characterizing the first member's rating of a first of the articles in the collection; receiving a selection by the second member of a second link for receiving input characterizing the second member's rating of the first of the articles; storing machine-readable information characterizing the first member's rating and machine-readable information characterizing the second member's rating; receiving a third search query submitted by a third member, wherein the third search query is identical or relevant to the first search query and the second search query and the third member is not explicitly associated with the first member in the member network; determining a collection of articles that are responsive to the third search query, wherein the collection includes the first of the articles; identifying that the member profile information of the first member in the member network is associated with the third search query by virtue of the member profile information describing that the first member has expertise in a field associated with the third search query; and providing the third member with information describing the collection of articles responsive to the third search query and information describing an availability of the information characterizing the first member's rating of the first of the articles, wherein the information provided to the third member excludes any indication that information characterizing the second member's rating of the first of the articles has been received.
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11. A non-transitory computer storage medium encoded with instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising: receiving machine-readable member profile information characterizing a first member and a second member in a member network; receiving a first search query submitted by the first member and a second search query submitted by the second member; responding to each of the first search query and the second search query with a) links to a collection of articles and b) one or more links for receiving input characterizing respectively ratings of the first member and ratings of the second member of articles in the collection; receiving a selection by the first member of a link for receiving input characterizing the first member's rating of a first of the articles in the collection; receiving a selection by the second member of a second link for receiving input characterizing the second member's rating of the first of the articles; storing machine-readable information characterizing the first member's rating and machine-readable information characterizing the second member's rating; receiving a third search query submitted by a third member, wherein the third search query is identical or relevant to the first search query and the second search query and the third member is not explicitly associated with the first member in the member network; determining a collection of articles that are responsive to the third search query, wherein the collection includes the first of the articles; identifying that the member profile information of the first member in the member network is associated with the third search query by virtue of the member profile information describing that the first member has expertise in a field associated with the third search query; and providing the third member with information describing the collection of articles responsive to the third search query and information describing an availability of the information characterizing the first member's rating of the first of the articles, wherein the information provided to the third member excludes any indication that information characterizing the second member's rating of the first of the articles has been received. 13. The computer storage medium of claim 11 , wherein receiving the selection by the first member of the link for receiving input characterizing the first member's rating of the first of the articles in the collection comprises receiving the selection by the first member who is provided with a financial incentive to rate the first of the articles.
| 0.78323 |
8,271,436 | 35 | 36 |
35. The system of claim 13 , wherein the shadowing system is configured to generate and maintain in response to at least one of an automatic trigger, a timer notification, an event notification, a poll, and a request.
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35. The system of claim 13 , wherein the shadowing system is configured to generate and maintain in response to at least one of an automatic trigger, a timer notification, an event notification, a poll, and a request. 36. The system of claim 35 , wherein the automatic trigger includes a trigger automatically initiated in response to at least one pre-specified parameter.
| 0.67094 |
7,996,765 | 13 | 14 |
13. A system, comprising: a memory; a processor in communication with the memory, the processor configured to: receive a first display element, the first display element defined at least in part according to a first style attribute defined in a style sheet language; receive a second display element, the second display element defined at least in part according to a second style attribute defined in the style sheet language; receive a first relationship between the first display element and the second display element; automatically generate a modified second style attribute in the style sheet language, the modified second style sheet attribute based on the first style attribute and the first relationship; store the modified second style attribute in the style sheet language document; receive a third display element, the third display element defined at least in part according to a third style attribute defined in a style sheet language; receive a second relationship between the first display element and the third display element; automatically generate a modified third style attribute in the style sheet language, the modified third style sheet attribute based on the first style attribute and the second relationship; and store the modified third style attribute in the style sheet language document, wherein at least one of the first or the second relationship comprises a spatial relationship or a size relationship, and wherein at least one of the first or the second relationship is dynamic.
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13. A system, comprising: a memory; a processor in communication with the memory, the processor configured to: receive a first display element, the first display element defined at least in part according to a first style attribute defined in a style sheet language; receive a second display element, the second display element defined at least in part according to a second style attribute defined in the style sheet language; receive a first relationship between the first display element and the second display element; automatically generate a modified second style attribute in the style sheet language, the modified second style sheet attribute based on the first style attribute and the first relationship; store the modified second style attribute in the style sheet language document; receive a third display element, the third display element defined at least in part according to a third style attribute defined in a style sheet language; receive a second relationship between the first display element and the third display element; automatically generate a modified third style attribute in the style sheet language, the modified third style sheet attribute based on the first style attribute and the second relationship; and store the modified third style attribute in the style sheet language document, wherein at least one of the first or the second relationship comprises a spatial relationship or a size relationship, and wherein at least one of the first or the second relationship is dynamic. 14. The system of claim 13 , wherein the processor is further configured to: receive a modification of the first style attribute; and store the modification of the first style attribute in the style sheet language document; wherein the modified second style sheet attribute is further based on the modification of the first style attribute.
| 0.5 |
8,433,573 | 3 | 5 |
3. The prosody modification device according to claim 1 , wherein the real voice prosody modification part includes a phoneme boundary resetting part that resets the real voice phoneme boundary of the phoneme or the phoneme string to be modified in the real voice prosody information based on the regular phoneme length of each phoneme of the regular prosody information and a speech rate ratio as a ratio between a rate of speech of the real voice prosody information and a rate of speech of the regular prosody information in the section of the phoneme or the phoneme string to be modified, thereby modifying the real voice prosody information.
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3. The prosody modification device according to claim 1 , wherein the real voice prosody modification part includes a phoneme boundary resetting part that resets the real voice phoneme boundary of the phoneme or the phoneme string to be modified in the real voice prosody information based on the regular phoneme length of each phoneme of the regular prosody information and a speech rate ratio as a ratio between a rate of speech of the real voice prosody information and a rate of speech of the regular prosody information in the section of the phoneme or the phoneme string to be modified, thereby modifying the real voice prosody information. 5. The prosody modification device according to claim 3 , further comprising: a phoneme length ratio calculating part that calculates a ratio between the real voice phoneme length of each phoneme determined by the real voice phoneme boundary and the regular phoneme length of the phoneme determined by the regular phoneme boundary as a phoneme length ratio of the phoneme in the section of the phoneme or the phoneme string to be modified in the real voice prosody information; and a speech rate ratio calculating part that smoothes the phoneme length ratio calculated by the phoneme length ratio calculating part, thereby calculating the ratio between the rate of speech of the real voice prosody information and the rate of speech of the regular prosody information as the speech rate ratio, wherein the phoneme boundary resetting part calculates a modified phoneme length based on the regular phoneme length of the phoneme of the regular prosody information and the speech rate ratio calculated by the speech rate ratio calculating part in the section of the phoneme or the phoneme string to be modified, and resets the real voice phoneme boundary of the real voice prosody information so that each real voice phoneme length in the section becomes the modified phoneme length, thereby modifying the real voice prosody information.
| 0.580554 |
9,710,549 | 2 | 3 |
2. The method of claim 1 , wherein normalizing the value of the name fact comprises: normalizing the value of the name fact by applying a group of normalization rules to the value of the name fact.
|
2. The method of claim 1 , wherein normalizing the value of the name fact comprises: normalizing the value of the name fact by applying a group of normalization rules to the value of the name fact. 3. The method of claim 2 , wherein the group of normalization rules comprises at least one rule selected from one of: removing social titles; and removing predefined adjective words.
| 0.5 |
8,938,451 | 8 | 11 |
8. An apparatus for linking documents, comprising: means for obtaining a set of documents, wherein documents in the set of documents are not interlinked with other documents via one or more hyperlinks; means for storing a plurality of clusters from the set of documents, each cluster comprising one or more documents; means for building a cluster page for each cluster to represent the documents in the cluster; and means for building links based on analysis of the contents of the clusters and the documents; wherein, when a similarity of a topic of a first document of the set of documents to a second document of the set of documents is greater than a threshold, a link is built from the first document to the second document, the similarity being a cosine function of an angle between a topic vector of the first document and the document vector of the second document; wherein the link building means comprises one or more of the following units: a cluster page linking unit that builds the link between the cluster pages; a cluster-document linking unit that builds the link from the cluster page to the document; a document-cluster linking unit that builds the link from the document to the cluster page; and a document linking unit that builds the link between the documents; wherein, when the number of documents commonly owned by a first cluster and a second cluster is greater than or equal to a threshold, the link building means builds the links between the cluster page of the first cluster and the cluster page of the second cluster; and wherein, when the proportion of the number of commonly owned documents in the first cluster is greater than that in the second cluster, the link building means generates a link from the cluster page of the second cluster to the cluster page of the first cluster, otherwise the link building means generates a link from the cluster page of the first cluster to the cluster page of the second cluster.
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8. An apparatus for linking documents, comprising: means for obtaining a set of documents, wherein documents in the set of documents are not interlinked with other documents via one or more hyperlinks; means for storing a plurality of clusters from the set of documents, each cluster comprising one or more documents; means for building a cluster page for each cluster to represent the documents in the cluster; and means for building links based on analysis of the contents of the clusters and the documents; wherein, when a similarity of a topic of a first document of the set of documents to a second document of the set of documents is greater than a threshold, a link is built from the first document to the second document, the similarity being a cosine function of an angle between a topic vector of the first document and the document vector of the second document; wherein the link building means comprises one or more of the following units: a cluster page linking unit that builds the link between the cluster pages; a cluster-document linking unit that builds the link from the cluster page to the document; a document-cluster linking unit that builds the link from the document to the cluster page; and a document linking unit that builds the link between the documents; wherein, when the number of documents commonly owned by a first cluster and a second cluster is greater than or equal to a threshold, the link building means builds the links between the cluster page of the first cluster and the cluster page of the second cluster; and wherein, when the proportion of the number of commonly owned documents in the first cluster is greater than that in the second cluster, the link building means generates a link from the cluster page of the second cluster to the cluster page of the first cluster, otherwise the link building means generates a link from the cluster page of the first cluster to the cluster page of the second cluster. 11. The apparatus according to claim 8 , wherein, when the similarity of a document and its cluster is greater than a threshold, the link building means generates a link form the document to the cluster page of the cluster, the similarity is a cosine function of the angle between the document vector of the document and the centroid vector of the cluster, and the centroid vector is the arithmetic average value of the document vector.
| 0.659906 |
9,203,849 | 9 | 10 |
9. The system of claim 8 , the memory further storing computer executable instructions that when executed by the processor cause the processor to carry out the steps that include: attempting to extend the normalized link text to include the context text from the left side or the right side of the normalized link text when the normalized link text matches the link address; and determining that the link text is safe when there is no additional context text to the left side or the right side of the normalized link text.
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9. The system of claim 8 , the memory further storing computer executable instructions that when executed by the processor cause the processor to carry out the steps that include: attempting to extend the normalized link text to include the context text from the left side or the right side of the normalized link text when the normalized link text matches the link address; and determining that the link text is safe when there is no additional context text to the left side or the right side of the normalized link text. 10. The system of claim 9 , the memory further storing computer executable instructions that when executed by the processor cause the processor to carry out the attempting to extend the normalized link text to include the context text from the left side or the right side of the normalized link text by: determining whether there is additional content text displayed adjacent to the normalized link text; and when there is additional context text displayed adjacent to the normalized link text: extending the normalized link text to include the additional context text, and repeating the steps of generating, determining, and the responsive actions, wherein the normalized text is generated based on the additional context text.
| 0.5 |
8,099,662 | 15 | 19 |
15. An apparatus comprising: one or more processors and a memory; input means for receiving, from a user interface, an annotation associated with a background image; control means for adding the annotation to a queue of pending annotations; output means for transmitting the annotation from the apparatus to a server; wherein the control means removes the annotation from the queue of pending annotations, and adds the annotation to a list of acknowledged annotations, when an acknowledgment of the annotation is received by the apparatus from the server; wherein the output means generates a display image comprising the background image, annotations in the list of acknowledged annotations, and annotations in the queue of pending annotations; and wherein the one or more processors and the memory cooperate to implement at least in part the input, output and control means.
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15. An apparatus comprising: one or more processors and a memory; input means for receiving, from a user interface, an annotation associated with a background image; control means for adding the annotation to a queue of pending annotations; output means for transmitting the annotation from the apparatus to a server; wherein the control means removes the annotation from the queue of pending annotations, and adds the annotation to a list of acknowledged annotations, when an acknowledgment of the annotation is received by the apparatus from the server; wherein the output means generates a display image comprising the background image, annotations in the list of acknowledged annotations, and annotations in the queue of pending annotations; and wherein the one or more processors and the memory cooperate to implement at least in part the input, output and control means. 19. The apparatus of claim 15 : wherein the control means removes one or more coordinates from the annotation before transmitting the annotation.
| 0.792857 |
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