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9,792,361 | 1 | 7 | 1. A computer implemented system for presenting social network provided outputs to a mobile electronic device dependent on a location, in response to the mobile electronic device user's input, comprising: a hardware data input port configured to receive information from the mobile electronic device user defining the user input; an automated hardware processor configured to define a user request dependent on the user input and metadata associated with the received information from the mobile electronic device user, comprising at least the location of the mobile electronic device determined by an automated hardware geospatial positioning system; an automated hardware communication interface port configured to: automatically transmit the user request to a social network database comprising a plurality of roadway condition records having time information and location information associated with respective roadway conditions; automatically receive location-dependent social network information from the social network database, selectively dependent on the transmitted user request; and communicate a message dependent on the received location-dependent social network information for creating a new record in the social network database, comprising time information and location information of a respective roadway condition; an automated hardware user interface configured to selectively present the received social network information ranked according to at least one social network ranking factor. | 1. A computer implemented system for presenting social network provided outputs to a mobile electronic device dependent on a location, in response to the mobile electronic device user's input, comprising: a hardware data input port configured to receive information from the mobile electronic device user defining the user input; an automated hardware processor configured to define a user request dependent on the user input and metadata associated with the received information from the mobile electronic device user, comprising at least the location of the mobile electronic device determined by an automated hardware geospatial positioning system; an automated hardware communication interface port configured to: automatically transmit the user request to a social network database comprising a plurality of roadway condition records having time information and location information associated with respective roadway conditions; automatically receive location-dependent social network information from the social network database, selectively dependent on the transmitted user request; and communicate a message dependent on the received location-dependent social network information for creating a new record in the social network database, comprising time information and location information of a respective roadway condition; an automated hardware user interface configured to selectively present the received social network information ranked according to at least one social network ranking factor. 7. The computer implemented system according to claim 1 , wherein the social network database comprises a database of road conditions. | 0.872624 |
9,357,022 | 13 | 14 | 13. A system for providing effectiveness indications for social networking activity, the system comprising: one or more processors; and a machine-readable medium comprising instructions stored therein, which when executed by the processors, cause the processors to perform operations comprising: identifying a social networking activity performed in connection with a profile associated with a first user; identifying a plurality of actions performed with respect to the social networking activity by one or more other users exposed to the social networking activity, wherein the plurality of actions include explicit actions and implicit actions; for each of the plurality of actions, determining a total number of unique users performing said each action; calculating an activity score for the social networking activity based on the determined total number of users performing said each of the plurality of actions; determining a number of users exposed to the social networking activity; and calculating an effectiveness score for the social networking activity based on the activity score and the number of users exposed to the social networking activity. | 13. A system for providing effectiveness indications for social networking activity, the system comprising: one or more processors; and a machine-readable medium comprising instructions stored therein, which when executed by the processors, cause the processors to perform operations comprising: identifying a social networking activity performed in connection with a profile associated with a first user; identifying a plurality of actions performed with respect to the social networking activity by one or more other users exposed to the social networking activity, wherein the plurality of actions include explicit actions and implicit actions; for each of the plurality of actions, determining a total number of unique users performing said each action; calculating an activity score for the social networking activity based on the determined total number of users performing said each of the plurality of actions; determining a number of users exposed to the social networking activity; and calculating an effectiveness score for the social networking activity based on the activity score and the number of users exposed to the social networking activity. 14. The system of claim 13 , the operations further comprising: receiving a request to provide an effectiveness score associated with the social networking activity; and providing the effectiveness score for display, in response to the request. | 0.508065 |
8,719,695 | 1 | 2 | 1. An electronic device, comprising: a display; one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: displaying at least a portion of an electronic document at a first magnification level on the display; detecting a first input indicating a first insertion point in the document, wherein the first insertion point is proximate to a first portion of text in the document, the first portion of text having a first font size; in response to detecting the first input: selecting a second magnification level different from the first magnification level, wherein the second magnification level is selected so as to display the first portion of text at a target text display size; and displaying a portion of the document at the second magnification level; while displaying the portion of the document at the second magnification level, detecting a second input indicating a second insertion point in the document, wherein the second insertion point is proximate to a second portion of text in the document, the second portion of text having a second font size different from the first font size; and in response to detecting the second input: selecting a third magnification level different from the second magnification level, wherein the third magnification level is selected so as to display the second portion of text at the target text display size; and displaying a portion of the document at the third magnification level. | 1. An electronic device, comprising: a display; one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: displaying at least a portion of an electronic document at a first magnification level on the display; detecting a first input indicating a first insertion point in the document, wherein the first insertion point is proximate to a first portion of text in the document, the first portion of text having a first font size; in response to detecting the first input: selecting a second magnification level different from the first magnification level, wherein the second magnification level is selected so as to display the first portion of text at a target text display size; and displaying a portion of the document at the second magnification level; while displaying the portion of the document at the second magnification level, detecting a second input indicating a second insertion point in the document, wherein the second insertion point is proximate to a second portion of text in the document, the second portion of text having a second font size different from the first font size; and in response to detecting the second input: selecting a third magnification level different from the second magnification level, wherein the third magnification level is selected so as to display the second portion of text at the target text display size; and displaying a portion of the document at the third magnification level. 2. The device of claim 1 , wherein first font size is larger than second font size. | 0.790404 |
9,600,600 | 1 | 5 | 1. A method, implemented on at least one computing device each of which has at least one processor, storage, and a communication platform connected to a network for evaluating query suggestion quality, the method comprising the steps of: providing a plurality of query suggestions in a ranking to a user; detecting a selection of one of the plurality of query suggestions, wherein the selection causes modification of the position of the selected query suggestion in the ranking; determining a position of the selected one of the plurality of query suggestions in the ranking; and calculating a quality measure of the plurality of query suggestions based, at least in part, on the selection and the position of the selected one of the plurality of query suggestions, wherein the plurality of query suggestions in the ranking are provided to a plurality of users; and wherein the quality measure of the plurality of query suggestions is determined based on a total number of query suggestions in the plurality of query suggestions whose positions are modified in response to the selection. | 1. A method, implemented on at least one computing device each of which has at least one processor, storage, and a communication platform connected to a network for evaluating query suggestion quality, the method comprising the steps of: providing a plurality of query suggestions in a ranking to a user; detecting a selection of one of the plurality of query suggestions, wherein the selection causes modification of the position of the selected query suggestion in the ranking; determining a position of the selected one of the plurality of query suggestions in the ranking; and calculating a quality measure of the plurality of query suggestions based, at least in part, on the selection and the position of the selected one of the plurality of query suggestions, wherein the plurality of query suggestions in the ranking are provided to a plurality of users; and wherein the quality measure of the plurality of query suggestions is determined based on a total number of query suggestions in the plurality of query suggestions whose positions are modified in response to the selection. 5. The method of claim 1 , further comprising classifying each of the plurality of query suggestions based on the selection and the position of the selected one of the plurality of query suggestions. | 0.672697 |
9,952,881 | 1 | 8 | 1. A mobile device comprising a user interface, a communicator, a central processing unit (CPU), and a storage unit storing instructions executable by the CPU, the instructions configured to implement: a first application module configured to receive a first input command from a user through the user interface; a second application module configured to receive a second input command from the user through the user interface; and an assistant interface configured to translate the first input command into a first semantic atom and to transmit the first semantic atom via the communicator to an external server to perform functions at a first external service; the assistant interface further configured to translate the second input command into a second semantic atom and to transmit the second semantic atom via the communicator to the external server to perform functions at a second external service; the storage unit further storing libraries mapping received input commands to semantic atoms, each semantic atom encapsulating digital data specifying a function to be performed, the first and second semantic atoms corresponding to semantic atoms stored by the storage unit. | 1. A mobile device comprising a user interface, a communicator, a central processing unit (CPU), and a storage unit storing instructions executable by the CPU, the instructions configured to implement: a first application module configured to receive a first input command from a user through the user interface; a second application module configured to receive a second input command from the user through the user interface; and an assistant interface configured to translate the first input command into a first semantic atom and to transmit the first semantic atom via the communicator to an external server to perform functions at a first external service; the assistant interface further configured to translate the second input command into a second semantic atom and to transmit the second semantic atom via the communicator to the external server to perform functions at a second external service; the storage unit further storing libraries mapping received input commands to semantic atoms, each semantic atom encapsulating digital data specifying a function to be performed, the first and second semantic atoms corresponding to semantic atoms stored by the storage unit. 8. The mobile device of claim 1 , the first and second semantic atoms being represented in a format comprising at least one of text, YAML, and XML. | 0.856445 |
8,005,823 | 1 | 9 | 1. A system, comprising: a processor; and a memory coupled to the processor, wherein the memory comprises program instructions executable by the processor to: group users into a plurality of distinct communities according to one or more grouping criteria, such that for each particular one of the communities, members of the particular community share at least one grouping criterion in common, and wherein membership of at least some of the communities does not completely overlap; store indications of membership of each of the communities; receive a query from a member of one or more of the communities, and in response to the query: obtain results of the query; determine one or more of the plurality of communities to associate with the query, wherein the determining comprises comparing the query to queries entered by other members of the one or more of the plurality of communities such that the member from which the query is received is a member of the determined one or more communities, and the determined one or more communities are distinct from others of the plurality of communities; identify other results from only the determined one or more communities, wherein the other results are for at least one other query from at least one other member of the determined one or more communities, and wherein the other results reflect user feedback from the at least one other member of the determined one or more communities; compare the results to the other results from the determined one or more communities to determine a measure of similarity between the results and the other results; and modify the results according to the other results in response to determining that the measure of similarity is above a predetermined threshold, wherein the results are not modified according to the other results if the measure of similarity is not above the predetermined threshold. | 1. A system, comprising: a processor; and a memory coupled to the processor, wherein the memory comprises program instructions executable by the processor to: group users into a plurality of distinct communities according to one or more grouping criteria, such that for each particular one of the communities, members of the particular community share at least one grouping criterion in common, and wherein membership of at least some of the communities does not completely overlap; store indications of membership of each of the communities; receive a query from a member of one or more of the communities, and in response to the query: obtain results of the query; determine one or more of the plurality of communities to associate with the query, wherein the determining comprises comparing the query to queries entered by other members of the one or more of the plurality of communities such that the member from which the query is received is a member of the determined one or more communities, and the determined one or more communities are distinct from others of the plurality of communities; identify other results from only the determined one or more communities, wherein the other results are for at least one other query from at least one other member of the determined one or more communities, and wherein the other results reflect user feedback from the at least one other member of the determined one or more communities; compare the results to the other results from the determined one or more communities to determine a measure of similarity between the results and the other results; and modify the results according to the other results in response to determining that the measure of similarity is above a predetermined threshold, wherein the results are not modified according to the other results if the measure of similarity is not above the predetermined threshold. 9. The system of claim 1 , wherein to determine a measure of similarity between the results and the other results the program instructions are further executable to calculate a ratio of a number of the results in common with the other results to a total number of the results. | 0.736641 |
9,641,681 | 15 | 17 | 15. A computer-implemented predictive modeling method comprising: determining an assessment of an ongoing conversation, wherein the assessment includes an output of a predictive model, wherein determining the assessment comprises applying a predictive model to first conversation data associated with the conversation, wherein the first conversation data include conversation metric data indicative of one or more values of one or more metrics for evaluating conversation quality, wherein the one or more metric values are determined based, at least in part, on communications of two or more participants in the conversation, wherein the metrics include a proportionality metric and/or a matching metric, wherein a value of the proportionality metric depends on proportions of communication contributed to the conversation by the two or more participants, wherein a value of the matching metric depends on an extent to which a communication rate of a first of the participants matches a communication rate of a second of the participants, wherein the predictive model is fitted to second conversation data associated with a plurality of conversations; and providing notification of the assessment of the ongoing conversation. | 15. A computer-implemented predictive modeling method comprising: determining an assessment of an ongoing conversation, wherein the assessment includes an output of a predictive model, wherein determining the assessment comprises applying a predictive model to first conversation data associated with the conversation, wherein the first conversation data include conversation metric data indicative of one or more values of one or more metrics for evaluating conversation quality, wherein the one or more metric values are determined based, at least in part, on communications of two or more participants in the conversation, wherein the metrics include a proportionality metric and/or a matching metric, wherein a value of the proportionality metric depends on proportions of communication contributed to the conversation by the two or more participants, wherein a value of the matching metric depends on an extent to which a communication rate of a first of the participants matches a communication rate of a second of the participants, wherein the predictive model is fitted to second conversation data associated with a plurality of conversations; and providing notification of the assessment of the ongoing conversation. 17. The method of claim 15 , wherein determining the assessment of the ongoing conversation includes predicting (1) a probability of occurrence, during or after the conversation, of a particular event, and/or (2) an outcome of the conversation. | 0.845178 |
9,473,587 | 1 | 12 | 1. A method for generating an aggregated social feed, the method comprising: receiving a plurality of feeds, each feed including a plurality of content items and received from a social networking service; determining a relevance score for each of the plurality of content items based on one or more relevance factors; adjusting the relevance scores for each of one or more of the content items based on the social networking service from which the content item was received, where the adjusting comprises reducing or increasing the relevance score of the content item based on a number of other content items received from the same social networking service; ranking the content items based on the relevance scores thereof; selecting a plurality of the ranked content items based on ranking; and sending for display to a client device the selected content items in the aggregated social feed. | 1. A method for generating an aggregated social feed, the method comprising: receiving a plurality of feeds, each feed including a plurality of content items and received from a social networking service; determining a relevance score for each of the plurality of content items based on one or more relevance factors; adjusting the relevance scores for each of one or more of the content items based on the social networking service from which the content item was received, where the adjusting comprises reducing or increasing the relevance score of the content item based on a number of other content items received from the same social networking service; ranking the content items based on the relevance scores thereof; selecting a plurality of the ranked content items based on ranking; and sending for display to a client device the selected content items in the aggregated social feed. 12. The method of claim 1 , wherein a relevance factor is based on an interest level indication associated with the content item. | 0.884615 |
8,630,992 | 3 | 6 | 3. The method as recited in claim 1 , wherein: the processor is a first processor, and the method further comprises: sending the search query to a second processor by the first processor; sending the search query to the data center by the second processor; receiving the second result set from the data center by the second processor; determining the first rank of the URL in the first result set for the search query by the first processor; and determining the second rank of the URL in the second result set for the search query by the second processor. | 3. The method as recited in claim 1 , wherein: the processor is a first processor, and the method further comprises: sending the search query to a second processor by the first processor; sending the search query to the data center by the second processor; receiving the second result set from the data center by the second processor; determining the first rank of the URL in the first result set for the search query by the first processor; and determining the second rank of the URL in the second result set for the search query by the second processor. 6. The method as recited in claim 3 , further comprising: determining a prior search query by the second processor; and prior to sending the search query by the second processor to the data center, sending the prior search query by the second processor to the data center. | 0.885425 |
8,407,190 | 1 | 7 | 1. A method for storing, on a cloud storage site, a secondary copy of an original data set, the method comprising: receiving, with a computing device, a primary copy of an original data set; updating, with the computing device, a content index to reflect at least some of data content in the original data set; identifying, with the computing device, a target cloud storage site on which to store a secondary copy of the original data set, wherein a network connection is to be established between the target cloud storage site and a media file system agent, and wherein the established network connection has an associated latency and bandwidth; determining, with the computing device, a size for a container file to utilize when deduplicating the primary copy of the original data set, wherein the container file size is determined at least in part on the latency, bandwidth, or both, associated with the network connection to be established; deduplicating, with the computing device, at least some of the data content in the primary copy in order to create one or more container files containing deduplicated data, wherein at least one of the container files has the determined size; establishing, with the computing device, the network connection between the target cloud storage site and the media file system agent; and transferring, with the computing device, the one or more container files to the target cloud storage site. | 1. A method for storing, on a cloud storage site, a secondary copy of an original data set, the method comprising: receiving, with a computing device, a primary copy of an original data set; updating, with the computing device, a content index to reflect at least some of data content in the original data set; identifying, with the computing device, a target cloud storage site on which to store a secondary copy of the original data set, wherein a network connection is to be established between the target cloud storage site and a media file system agent, and wherein the established network connection has an associated latency and bandwidth; determining, with the computing device, a size for a container file to utilize when deduplicating the primary copy of the original data set, wherein the container file size is determined at least in part on the latency, bandwidth, or both, associated with the network connection to be established; deduplicating, with the computing device, at least some of the data content in the primary copy in order to create one or more container files containing deduplicated data, wherein at least one of the container files has the determined size; establishing, with the computing device, the network connection between the target cloud storage site and the media file system agent; and transferring, with the computing device, the one or more container files to the target cloud storage site. 7. The method of claim 1 , wherein identifying the target cloud storage site on which to store the secondary copy further comprises selecting a cloud storage site based at least in part on data storage devices for the cloud storage site being in locations receiving electrical power from two different power grids. | 0.899423 |
9,020,933 | 1 | 6 | 1. A computer-implemented method, comprising: receiving, by a data processing device, data specifying a search query that was submitted by a user; determining, by a data processing device, a particular search topic with which the search query is associated; obtaining a measure of relevance of a topic corpus to the particular search topic; obtaining a topic search volume value for the particular search topic based on a value indicative of a number of received search queries that correspond to the particular search topic; determining, by the data processing device, a topic corpus quality measure for the particular search topic based on the measure of relevance and the topic search volume value; determining, by the data processing device, that the particular search topic with which the search query is associated is classified as an underserved topic based on the topic corpus quality measure being less than a specified threshold value; and providing, by the data processing device and in response to receiving the search query, data that cause presentation of a notification that the search query is associated with an underserved topic. | 1. A computer-implemented method, comprising: receiving, by a data processing device, data specifying a search query that was submitted by a user; determining, by a data processing device, a particular search topic with which the search query is associated; obtaining a measure of relevance of a topic corpus to the particular search topic; obtaining a topic search volume value for the particular search topic based on a value indicative of a number of received search queries that correspond to the particular search topic; determining, by the data processing device, a topic corpus quality measure for the particular search topic based on the measure of relevance and the topic search volume value; determining, by the data processing device, that the particular search topic with which the search query is associated is classified as an underserved topic based on the topic corpus quality measure being less than a specified threshold value; and providing, by the data processing device and in response to receiving the search query, data that cause presentation of a notification that the search query is associated with an underserved topic. 6. The method of claim 1 , further comprising: obtaining topic search volume values for other search topics that have topic corpus quality measures that are within a threshold value of the topic corpus quality measure for the particular search topic; determining a threshold search volume value based on the search volume values for the other search topics; determining that the topic search volume for the particular search topic exceeds the threshold search volume value; and classifying the particular search topic as an underserved topic. | 0.651223 |
8,543,646 | 1 | 5 | 1. A subscription management method for resource content, comprising: selecting an event topic based on an event topic list by a subscriber device, wherein the event topic selected by the subscriber device is a complex event topic set constituted by at least two separate event topics and a predefined rule describing a relation between the separate events related to the complex event topic set; creating for the selected event topic, by the subscriber device, a topic path for receiving a notification event related to the selected event topic; storing the selected event topic and a Web address of a resource content publishing device at the subscriber device, wherein the Web address of the resource content publishing device is for providing the notification event related to the event topic; creating, by the subscriber device, a reversed event, the reversed event comprising reversed event content edited by the subscriber device and an event topic which is stored by the subscriber device and is the same as that of a corresponding notification event; sending, by the subscriber device, the reversed event to the resource content publishing device according to the Web address of the resource content publishing device; sending, by the subscriber device, path information of the created topic path as part of identification information of the subscriber device, along with the selected event topic, to a resource content publishing device; and receiving, by the subscriber device, the notification event sent by the resource content publishing device to the subscriber device according to the identification information of the subscriber device. | 1. A subscription management method for resource content, comprising: selecting an event topic based on an event topic list by a subscriber device, wherein the event topic selected by the subscriber device is a complex event topic set constituted by at least two separate event topics and a predefined rule describing a relation between the separate events related to the complex event topic set; creating for the selected event topic, by the subscriber device, a topic path for receiving a notification event related to the selected event topic; storing the selected event topic and a Web address of a resource content publishing device at the subscriber device, wherein the Web address of the resource content publishing device is for providing the notification event related to the event topic; creating, by the subscriber device, a reversed event, the reversed event comprising reversed event content edited by the subscriber device and an event topic which is stored by the subscriber device and is the same as that of a corresponding notification event; sending, by the subscriber device, the reversed event to the resource content publishing device according to the Web address of the resource content publishing device; sending, by the subscriber device, path information of the created topic path as part of identification information of the subscriber device, along with the selected event topic, to a resource content publishing device; and receiving, by the subscriber device, the notification event sent by the resource content publishing device to the subscriber device according to the identification information of the subscriber device. 5. The subscription management method for resource content according to claim 1 , wherein receiving, by the subscriber device, the notification event, comprises: receiving the notification at a default path; and performing at least one of: distributing the notification event to a corresponding topic path according to the event topic of the received notification event and a corresponding search table of topic paths; and consuming the notification event directly in the default path. | 0.8193 |
7,797,331 | 26 | 27 | 26. Method according to claim 25 , wherein said applying comprises: obtaining a modulation signal from said correlation basis; obtaining a correlation signal from said user provided audio information by convoluting said modulation signal and said user provided audio information having embedded said meta-information in a frequency domain; extracting magnitude signal values from said correlation signal, said magnitude signal values corresponding to each code basis of said set of code bases; and evaluating said magnitude signal values to retrieve said meta-information from said user provided audio information. | 26. Method according to claim 25 , wherein said applying comprises: obtaining a modulation signal from said correlation basis; obtaining a correlation signal from said user provided audio information by convoluting said modulation signal and said user provided audio information having embedded said meta-information in a frequency domain; extracting magnitude signal values from said correlation signal, said magnitude signal values corresponding to each code basis of said set of code bases; and evaluating said magnitude signal values to retrieve said meta-information from said user provided audio information. 27. Method according to claim 26 , wherein said evaluating of said magnitude signals comprises: obtaining magnitude ratio values of each pair of said magnitude signal values; normalizing said magnitude ratio values; and evaluating said normalized magnitude ratio values of said magnitude signal values to extract said meta-information from said user provided audio information. | 0.924236 |
8,566,709 | 1 | 2 | 1. A method of providing a spellchecker function using a processor and for use with documents having rich text, the method comprising: initializing a dictionary containing words, wherein the dictionary is created from word lists then instantiated and serialized, a structure of the dictionary is a hashtable, and each dictionary word is assigned a set of signatures; creating at least one signature for each dictionary word; adding each dictionary word to at least one list keyed by each of the at least one signatures for each dictionary word; determining that a word is misspelled by checking the dictionary for the misspelled word resulting in a null value, the checking the dictionary comprising determining whether the misspelled word is present in the at least one list for a primary signature of the misspelled word, and when the misspelled word is not present in the at least one list, then the misspelled word is not spelled correctly resulting in the null value; when the misspelled word is not spelled correctly, creating a substitution list for the misspelled word, which includes: creating at least one signature associated with the misspelled word; finding all the dictionary words in the at least one list keyed by the at least one signature associated with the misspelled word; selecting best matches to the misspelled word; and providing from the selected best matches at least one replacement word for the misspelled word in the documents having rich text. | 1. A method of providing a spellchecker function using a processor and for use with documents having rich text, the method comprising: initializing a dictionary containing words, wherein the dictionary is created from word lists then instantiated and serialized, a structure of the dictionary is a hashtable, and each dictionary word is assigned a set of signatures; creating at least one signature for each dictionary word; adding each dictionary word to at least one list keyed by each of the at least one signatures for each dictionary word; determining that a word is misspelled by checking the dictionary for the misspelled word resulting in a null value, the checking the dictionary comprising determining whether the misspelled word is present in the at least one list for a primary signature of the misspelled word, and when the misspelled word is not present in the at least one list, then the misspelled word is not spelled correctly resulting in the null value; when the misspelled word is not spelled correctly, creating a substitution list for the misspelled word, which includes: creating at least one signature associated with the misspelled word; finding all the dictionary words in the at least one list keyed by the at least one signature associated with the misspelled word; selecting best matches to the misspelled word; and providing from the selected best matches at least one replacement word for the misspelled word in the documents having rich text. 2. The method of claim 1 , wherein the at least one signature associated with the misspelled word and for each dictionary word is provided by extracting one or more letters and combining the one or more letters. | 0.509302 |
8,910,251 | 25 | 32 | 25. A non-transitory computer-readable storage medium storing computer-executable code comprising: a member profile store configured to store user profiles for a plurality of users of a social networking system; a connection store configured to store a plurality of connections between the users of the social networking system; a web server module configured to: receive a request from a requestor for access to a computing resource, wherein the request is associated with a user of the social networking system; a CAPTCHA manager module configured to: select, for forming a challenge question, another user of the social networking system from a plurality of other users connected to the user via the social networking system, the selection based on a rate of interactions between the user and the other user; obtain information from a user profile of the other user; determine whether the request is received from a suspicious source; determine difficulty level of the challenge question based on whether the source is suspicious; and form the challenge question according to the determined difficulty level, wherein an answer to the challenge question comprises information obtained from the user profile of the other user; and the web server module further configured to: send the challenge question to the requestor; and responsive to receiving a correct answer to the challenge question, allow the requested access. | 25. A non-transitory computer-readable storage medium storing computer-executable code comprising: a member profile store configured to store user profiles for a plurality of users of a social networking system; a connection store configured to store a plurality of connections between the users of the social networking system; a web server module configured to: receive a request from a requestor for access to a computing resource, wherein the request is associated with a user of the social networking system; a CAPTCHA manager module configured to: select, for forming a challenge question, another user of the social networking system from a plurality of other users connected to the user via the social networking system, the selection based on a rate of interactions between the user and the other user; obtain information from a user profile of the other user; determine whether the request is received from a suspicious source; determine difficulty level of the challenge question based on whether the source is suspicious; and form the challenge question according to the determined difficulty level, wherein an answer to the challenge question comprises information obtained from the user profile of the other user; and the web server module further configured to: send the challenge question to the requestor; and responsive to receiving a correct answer to the challenge question, allow the requested access. 32. The non-transitory computer readable storage medium of claim 25 , wherein the other user is selected responsive to a recent interaction between the user and the other user. | 0.690141 |
8,494,193 | 1 | 9 | 1. An apparatus, comprising: a microphone; an analog-to-digital (A/D) converter connected to convert analog sound signals received by the microphone into time domain digital data; a processor connected to process the time domain digital data and to produce time domain digital output, the processor including: a frequency analysis module to convert the time domain digital data into subband digital data; a feature extraction module to determine features of the subband data, the feature extraction module adapted to perform at least periodicity strength measurements; an environment detection module to determine one or more sources of the subband data based on a plurality of possible sources identified by predetermined classification parameters, the plurality of possible sources including wind, machine noise, and speech, wherein the detection module is adapted to determine the sources using a classification result and a classification strength at least in part determined by periodicity strength measurements, wherein the classification strength includes a relative likelihood that one of the plurality of possible sound sources is detected; an environment adaptation module to provide adaptations to processing using the determination of the one or more sources of the subband data; a subband signal processing module to process the subband data using the adaptations from the environment adaptation module; and a time synthesis module to convert processed subband data into the time domain digital output, wherein the feature extraction module is adapted to generate two or more of: periodicity strength measurements, high-to-low-frequency energy ratio, spectral slopes in various frequency regions, average spectral slope, overall spectral slope, spectral shape- related features, spectral centroid, omni signal power, directional signal power, and energy at a fundamental frequency. | 1. An apparatus, comprising: a microphone; an analog-to-digital (A/D) converter connected to convert analog sound signals received by the microphone into time domain digital data; a processor connected to process the time domain digital data and to produce time domain digital output, the processor including: a frequency analysis module to convert the time domain digital data into subband digital data; a feature extraction module to determine features of the subband data, the feature extraction module adapted to perform at least periodicity strength measurements; an environment detection module to determine one or more sources of the subband data based on a plurality of possible sources identified by predetermined classification parameters, the plurality of possible sources including wind, machine noise, and speech, wherein the detection module is adapted to determine the sources using a classification result and a classification strength at least in part determined by periodicity strength measurements, wherein the classification strength includes a relative likelihood that one of the plurality of possible sound sources is detected; an environment adaptation module to provide adaptations to processing using the determination of the one or more sources of the subband data; a subband signal processing module to process the subband data using the adaptations from the environment adaptation module; and a time synthesis module to convert processed subband data into the time domain digital output, wherein the feature extraction module is adapted to generate two or more of: periodicity strength measurements, high-to-low-frequency energy ratio, spectral slopes in various frequency regions, average spectral slope, overall spectral slope, spectral shape- related features, spectral centroid, omni signal power, directional signal power, and energy at a fundamental frequency. 9. The apparatus of claim 1 , wherein the environment detection module comprises: a Bayesian classifier. | 0.924638 |
9,715,375 | 1 | 2 | 1. A method, comprising: tokenizing, with one or more processing devices, input source text to form a token stream having a plurality of tokens, wherein the input source text is organized in two or more divisions and includes a plurality of statements in a compiled programming language and wherein each token has a location; partitioning, with the one or more processing devices, the token stream into partitions by division and by statement, wherein partitioning by statement includes storing an entry representing each partition in a partition table and wherein partitioning by statement further includes scanning the token stream in reverse starting at a statement end; parsing, with the one or more processing devices, two or more of the partitions in parallel, wherein parsing the partitions in parallel includes building, for each statement partition, an annotated syntax tree (AST) to represent the statement, storing, for each symbol, an entry in a common symbol dictionary, and generating error messages corresponding to syntax errors detected while parsing the partitions; and traversing, with the one or more processing devices, the common symbol dictionary to detect semantic errors; wherein scanning the token stream in reverse includes: determining, for each token, if the current token stream location is a conditional marker and, if the current token stream location is a conditional marker, setting a conditional marker flag; determining, for each token, if the current token stream location is an explicit statement terminator and, if the current token stream location is an explicit statement terminator, storing the current token stream location as a latest end statement location; and determining, for each token, if the current token stream location is a period token and, if the current token stream location is a period token, noting the end of a statement. | 1. A method, comprising: tokenizing, with one or more processing devices, input source text to form a token stream having a plurality of tokens, wherein the input source text is organized in two or more divisions and includes a plurality of statements in a compiled programming language and wherein each token has a location; partitioning, with the one or more processing devices, the token stream into partitions by division and by statement, wherein partitioning by statement includes storing an entry representing each partition in a partition table and wherein partitioning by statement further includes scanning the token stream in reverse starting at a statement end; parsing, with the one or more processing devices, two or more of the partitions in parallel, wherein parsing the partitions in parallel includes building, for each statement partition, an annotated syntax tree (AST) to represent the statement, storing, for each symbol, an entry in a common symbol dictionary, and generating error messages corresponding to syntax errors detected while parsing the partitions; and traversing, with the one or more processing devices, the common symbol dictionary to detect semantic errors; wherein scanning the token stream in reverse includes: determining, for each token, if the current token stream location is a conditional marker and, if the current token stream location is a conditional marker, setting a conditional marker flag; determining, for each token, if the current token stream location is an explicit statement terminator and, if the current token stream location is an explicit statement terminator, storing the current token stream location as a latest end statement location; and determining, for each token, if the current token stream location is a period token and, if the current token stream location is a period token, noting the end of a statement. 2. The method of claim 1 , wherein, for statements with conditional markers, parsing the partitions further includes skipping imperative statements following conditional markers. | 0.970981 |
9,053,097 | 1 | 10 | 1. A computer-implemented method for facilitating cross-language communication among users of respective wireless communication devices, the method comprising: receiving, at a first of the wireless communication devices, a first user input indicating willingness to participate in a cross-language communication session with a second of the wireless communication devices; receiving, at the second wireless communication device, a second user input indicating willingness to participate in the cross-language communication session with the first wireless communication device; receiving, at the first wireless communication device, a first signal from a first sensor of the first wireless communication device, other than an antenna; receiving, at the second wireless communication device, a second signal from a second sensor of the second wireless communication device, other than an antenna; automatically comparing the first signal to the second signal to determine whether the first signal and the second signal satisfy a similarity criterion; if the first and second signals satisfy the similarity criterion, automatically establishing the cross-language communication session; and if the cross-language communication session is established: after receiving the first and second user inputs, receiving a first user message entered on the first wireless communication device in a first natural language; automatically generating a translated first user message, including translating the first user message into a second natural language, different than the first natural language; and outputting the translated first user message on the second wireless communication device. | 1. A computer-implemented method for facilitating cross-language communication among users of respective wireless communication devices, the method comprising: receiving, at a first of the wireless communication devices, a first user input indicating willingness to participate in a cross-language communication session with a second of the wireless communication devices; receiving, at the second wireless communication device, a second user input indicating willingness to participate in the cross-language communication session with the first wireless communication device; receiving, at the first wireless communication device, a first signal from a first sensor of the first wireless communication device, other than an antenna; receiving, at the second wireless communication device, a second signal from a second sensor of the second wireless communication device, other than an antenna; automatically comparing the first signal to the second signal to determine whether the first signal and the second signal satisfy a similarity criterion; if the first and second signals satisfy the similarity criterion, automatically establishing the cross-language communication session; and if the cross-language communication session is established: after receiving the first and second user inputs, receiving a first user message entered on the first wireless communication device in a first natural language; automatically generating a translated first user message, including translating the first user message into a second natural language, different than the first natural language; and outputting the translated first user message on the second wireless communication device. 10. A method according to claim 1 , further comprising automatically coordinating establishment of the cross-language communication session by a server, distinct from and wirelessly communicatively coupled to the first and second wireless communication devices, including: receiving, at the server, information about the first and second user inputs indicating willingness to participate in the cross-language communication session; and automatically associating the first wireless communication device with the second wireless communication device, based on the similarity of the first and second signals. | 0.669935 |
9,141,656 | 9 | 15 | 9. One or more non-transitory machine-readable media storing instructions that are executable by one or more processing devices to perform operations comprising: comparing, for each entity of a plurality of entities, a number of connections associated with the entity, in one or more corresponding social graphs, to a threshold number of connections to other entities; based on the comparison, identifying one or more first entities of the plurality of entities that are associated with a number of connections greater than the threshold number of connections to other entities, and in response: identifying first content items in a search index that are authored by the one or more first entities, and associating, for each first content item, a respective author restrict with the first content item, the author restrict comprising data identifying the respective entity that authored the first content item; based on the comparison, identifying one or more second entities of the plurality of entities that are associated with a number of connections less than the threshold number of connections to other entities, and in response: identifying second content items in the search index that are authored by he one or more second items, and associating, for each second content item, one or more searcher restricts with the second content item, each searcher restrict of the one or more searcher restricts comprising data that identifies an other entity of a subset of the one or more other entities that are social connected to the second entity that authored the second content item, wherein the first content items are not associated with any searcher restricts; updating the search index to include the respective author restricts associated with each first content item and the respective one or more searcher restricts associated with each second content item; and storing the updated search index in memory. | 9. One or more non-transitory machine-readable media storing instructions that are executable by one or more processing devices to perform operations comprising: comparing, for each entity of a plurality of entities, a number of connections associated with the entity, in one or more corresponding social graphs, to a threshold number of connections to other entities; based on the comparison, identifying one or more first entities of the plurality of entities that are associated with a number of connections greater than the threshold number of connections to other entities, and in response: identifying first content items in a search index that are authored by the one or more first entities, and associating, for each first content item, a respective author restrict with the first content item, the author restrict comprising data identifying the respective entity that authored the first content item; based on the comparison, identifying one or more second entities of the plurality of entities that are associated with a number of connections less than the threshold number of connections to other entities, and in response: identifying second content items in the search index that are authored by he one or more second items, and associating, for each second content item, one or more searcher restricts with the second content item, each searcher restrict of the one or more searcher restricts comprising data that identifies an other entity of a subset of the one or more other entities that are social connected to the second entity that authored the second content item, wherein the first content items are not associated with any searcher restricts; updating the search index to include the respective author restricts associated with each first content item and the respective one or more searcher restricts associated with each second content item; and storing the updated search index in memory. 15. The one or more non-transitory machine-readable media of claim 9 , wherein the operations comprise: obtaining a search query comprising an author restrict and a searcher restrict; matching the author restrict to a corresponding author restrict associated with content in the search index, and matching the searcher restrict to a corresponding searcher restrict associated with content in the search index; and retrieving, from the search index, content in the search index that is associated with the corresponding author restrict, and content in the search index that is associated with the searcher restrict. | 0.500813 |
4,350,342 | 1 | 6 | 1. A word forming game apparatus comprising a first letter supply means and a second letter supply means, each of said first and second letter supply means providing a plurality of letter selections, each letter selection being greater in number than a full complement of the letters of the alphabet, said first letter supply means having a letter distribution different from that of said second letter supply means, and said first and second letter supply means being adapted to be utilized serially and apart from each other for the respective selection of a first and a second random letter to be used in a word forming capacity, together with a letter selected directly from said alphabet sequentially intermediate thereto, said randomly selected letters and said directly selected letters all having assigned thereto certain numerical point values for scoring purposes, and means to permit the orderly and contiguous recordation of the letters selected, the words formed, and the point scores achieved thereby. | 1. A word forming game apparatus comprising a first letter supply means and a second letter supply means, each of said first and second letter supply means providing a plurality of letter selections, each letter selection being greater in number than a full complement of the letters of the alphabet, said first letter supply means having a letter distribution different from that of said second letter supply means, and said first and second letter supply means being adapted to be utilized serially and apart from each other for the respective selection of a first and a second random letter to be used in a word forming capacity, together with a letter selected directly from said alphabet sequentially intermediate thereto, said randomly selected letters and said directly selected letters all having assigned thereto certain numerical point values for scoring purposes, and means to permit the orderly and contiguous recordation of the letters selected, the words formed, and the point scores achieved thereby. 6. The game apparatus of claim 1 wherein the numerical scoring values of said randomly selected letters and said directly selected letters are A=1, B=2, C=2, D=2, E=1, F=2, G=5, H=4, I=1, J=6, K=6, L=4, M=2, N=3, O=1, P=2, Q=9, R=2, S=2, T=2, U=1, V=7, W=8, X=9, Y=3, Z=9. | 0.501832 |
9,727,547 | 15 | 20 | 15. A non-transitory computer-readable storage medium comprising: a medium configured to store computer-readable instructions for navigating media displayed in a media interface thereon; and the computer-readable instructions which, when executed by a processing device cause the processing device to: display, in a media interface, a presentation pane configured to display primary content and a pair of vertical margin panes configured to display secondary content that is linked to the primary content, wherein the pair of vertical margin panes are adjacent to the presentation pane; receive, by the processing device, a media interface re-sizing event; dynamically measure a size of the vertical margin panes of the media interface after receiving the re-sizing event; scale a glyph displayed in one of the vertical margin panes in accordance with the dynamically measured size of the vertical margin panes; and animate the glyph by transforming the glyph into a note when the glyph has been scaled to a determined size, wherein the note is displayed with at least some of the secondary content. | 15. A non-transitory computer-readable storage medium comprising: a medium configured to store computer-readable instructions for navigating media displayed in a media interface thereon; and the computer-readable instructions which, when executed by a processing device cause the processing device to: display, in a media interface, a presentation pane configured to display primary content and a pair of vertical margin panes configured to display secondary content that is linked to the primary content, wherein the pair of vertical margin panes are adjacent to the presentation pane; receive, by the processing device, a media interface re-sizing event; dynamically measure a size of the vertical margin panes of the media interface after receiving the re-sizing event; scale a glyph displayed in one of the vertical margin panes in accordance with the dynamically measured size of the vertical margin panes; and animate the glyph by transforming the glyph into a note when the glyph has been scaled to a determined size, wherein the note is displayed with at least some of the secondary content. 20. The non-transitory computer-readable storage medium of claim 15 , wherein the instructions further cause the processing device to: upon continued re-sizing of the media interface, determine that a total width of the media interface is large enough to display two primary content displays in the presentation pane; display an additional primary content display in the presentation pane in the media interface, wherein the vertical margin panes are reduced or removed to accommodate the additional primary content display; fade out the display of the note; and re-display the glyph in the presentation pane. | 0.50082 |
7,711,525 | 7 | 8 | 7. The method of claim 6 further comprising checking for completeness of the solution between steps d and e, to determine failure wherein, failure characterizes that the said success in step c is not achievable for any time frame i. | 7. The method of claim 6 further comprising checking for completeness of the solution between steps d and e, to determine failure wherein, failure characterizes that the said success in step c is not achievable for any time frame i. 8. The method of claim 7 wherein the checking for completeness further comprises: (i) adding constraints to ensure that same states are not revisited in the said path, and checking satisfiability of the constraint database; (ii) if unsatisfiable, terminating the search with the said failure, (iii) otherwise, continuing search; and (iv) repeating steps (i)-(iii) until all previous states have been examined. | 0.916531 |
9,092,418 | 4 | 5 | 4. The method of claim 1 , further comprising: employing as the modified text entry the text entry having a wild card element in place of each of a first number of terminal characters of the text entry; identifying the particular language object as a proposed spell-check interpretation at least partially on the basis that it corresponds with the text entry having a wild card element in place of each of a first number of terminal characters of the text entry; making a determination that the quantity of proposed spell-check interpretations is fewer than a predetermined threshold; responsive to said making a determination, identifying a number of language objects that correspond with the text entry having a wild card element in place of each of a second number of terminal characters of the text entry, the second number being greater than the first number; and outputting at least some of the number of language objects as additional proposed spell-check interpretations. | 4. The method of claim 1 , further comprising: employing as the modified text entry the text entry having a wild card element in place of each of a first number of terminal characters of the text entry; identifying the particular language object as a proposed spell-check interpretation at least partially on the basis that it corresponds with the text entry having a wild card element in place of each of a first number of terminal characters of the text entry; making a determination that the quantity of proposed spell-check interpretations is fewer than a predetermined threshold; responsive to said making a determination, identifying a number of language objects that correspond with the text entry having a wild card element in place of each of a second number of terminal characters of the text entry, the second number being greater than the first number; and outputting at least some of the number of language objects as additional proposed spell-check interpretations. 5. The method of claim 4 wherein each language object has associated therewith a frequency object having a frequency value indicative of the relative frequency of the language object in a language, and further comprising outputting the particular language object and the at least some of the number of language objects in order of decreasing frequency value. | 0.899438 |
8,495,491 | 9 | 10 | 9. A computer program product stored on a computer memory adapted be executed by a machine to implement a method for locale and operating platform independent font selection for an operating platform, the computer program product comprising a routine set of instructions which when executed by a machine causes the machine to perform the steps of: parsing a pre-established font properties file comprising a listing of fonts and corresponding supported operating platform configurations for a particular locale; identifying within the font properties file whether a desired font referenced in said font properties file supports at least one of the operating platform configuration and the associated locale; and, utilizing said desired font in the operating platform if it is indicated within said font properties file that said desired font supports said at least one of the operating platform configuration and the associated locale. | 9. A computer program product stored on a computer memory adapted be executed by a machine to implement a method for locale and operating platform independent font selection for an operating platform, the computer program product comprising a routine set of instructions which when executed by a machine causes the machine to perform the steps of: parsing a pre-established font properties file comprising a listing of fonts and corresponding supported operating platform configurations for a particular locale; identifying within the font properties file whether a desired font referenced in said font properties file supports at least one of the operating platform configuration and the associated locale; and, utilizing said desired font in the operating platform if it is indicated within said font properties file that said desired font supports said at least one of the operating platform configuration and the associated locale. 10. The computer program product of claim 9 , wherein said identifying step comprises the step of identifying within the font properties file whether a desired font referenced in said font properties file supports a display of non-Latin text for the associated locale. | 0.764912 |
9,824,142 | 8 | 13 | 8. An information processing method for processing document collections having tags permitting semantic class identification appended to each document, comprising: creating multiple semantic class units containing two or more semantic classes based on a taxonomy that identifies relationships between semantic classes among a plurality of semantic classes, such that there is no semantic class in a semantic class unit which is an ancestor or a descendant of any other semantic class in the same semantic class unit; identifying, for each of the semantic class units, documents that match that semantic class unit in the document collections, and calculating a first frequency and a second frequency, the first frequency representing occurrence of the semantic class units in a first subset of documents of the document collections, and the second frequency representing occurrence of the semantic class units in a second subset of documents of the document collections; and searching in the document collections based on externally entered search terms, and separating the document collections into the first subset by determining that documents of the first subset comprise the search terms and into the second subset by determining that documents of the second subset do not comprise the search terms; and identifying the semantic class units and output the semantic class units to an enumeration tree in response to determining that the first frequency is higher than a first threshold value and that the second frequency is lower than a second threshold value, wherein the taxonomy identifies relationships between semantic classes among the plurality of semantic classes in a hierarchical manner, and wherein the method further comprises carrying out a child class conversion process and a class addition process in the enumeration tree whose root is a null set, and creating the enumeration tree by designating one, two or more of the semantic classes as nodes and establishing links between the nodes, and extracting a combination of semantic classes in which the semantic classes are not an ancestor or a descendant of each other to create the semantic class units. | 8. An information processing method for processing document collections having tags permitting semantic class identification appended to each document, comprising: creating multiple semantic class units containing two or more semantic classes based on a taxonomy that identifies relationships between semantic classes among a plurality of semantic classes, such that there is no semantic class in a semantic class unit which is an ancestor or a descendant of any other semantic class in the same semantic class unit; identifying, for each of the semantic class units, documents that match that semantic class unit in the document collections, and calculating a first frequency and a second frequency, the first frequency representing occurrence of the semantic class units in a first subset of documents of the document collections, and the second frequency representing occurrence of the semantic class units in a second subset of documents of the document collections; and searching in the document collections based on externally entered search terms, and separating the document collections into the first subset by determining that documents of the first subset comprise the search terms and into the second subset by determining that documents of the second subset do not comprise the search terms; and identifying the semantic class units and output the semantic class units to an enumeration tree in response to determining that the first frequency is higher than a first threshold value and that the second frequency is lower than a second threshold value, wherein the taxonomy identifies relationships between semantic classes among the plurality of semantic classes in a hierarchical manner, and wherein the method further comprises carrying out a child class conversion process and a class addition process in the enumeration tree whose root is a null set, and creating the enumeration tree by designating one, two or more of the semantic classes as nodes and establishing links between the nodes, and extracting a combination of semantic classes in which the semantic classes are not an ancestor or a descendant of each other to create the semantic class units. 13. The information processing method according to claim 8 , wherein: as the taxonomy is traversed from a top level to a bottom level, an enumeration tree is created by designating one, two or more of the semantic classes as nodes and establishing links between the nodes, and the nodes of the enumeration tree are designated as the semantic class units; for each of the semantic class units, only the first frequency is calculated in the descending order of the level of the nodes of said semantic class units in the enumeration tree, and identifying the semantic class units further comprises: (d1) if the semantic classes of a certain node in the enumeration tree are contained in the semantic classes of a non-parent node located above said node, establishing a new link between said node and the non-parent node located thereabove; and (d2) in response to the first frequency being calculated, making an assessment as to whether the first frequency is higher than the first threshold value; (d3) if as a result of the assessment made in (d2) it is determined that the first frequency is equal to or lower than the first threshold value, designating the semantic class units subject to calculation in (d2) as items to be excluded and deleting the nodes of the semantic class units subject to exclusion from the enumeration tree; (d4) calculating the second frequency for a plurality of semantic class units obtained by excluding the items to be excluded, for each of the semantic class units, in the ascending order of the level of the nodes of said semantic class units in the enumeration tree; (d5) in response to the second frequency being calculated in (d4), making an assessment as to whether the second frequency is lower than the second threshold value; (d6) if as a result of the assessment made in (d5) it is determined that the second frequency is equal to or higher than the second threshold value, deleting the nodes of the semantic class units subject to calculation and all the superordinate nodes directly and indirectly coupled to said nodes from the enumeration tree; and (d7) identifying the semantic class units obtained from the nodes remaining in the enumeration tree. | 0.548021 |
7,711,573 | 200 | 201 | 200. The computer program product of claim 198 , wherein the program code for storing each said at least one multiplier further comprises: program code for storing each said at least one multiplier as an element defined by a markup language, the element comprising a start tag, content data, and an end tag, wherein the start tag and the end tag include an indication of the salary range unit associated with each said at least one multiplier, and wherein the content data includes each said at least one multiplier. | 200. The computer program product of claim 198 , wherein the program code for storing each said at least one multiplier further comprises: program code for storing each said at least one multiplier as an element defined by a markup language, the element comprising a start tag, content data, and an end tag, wherein the start tag and the end tag include an indication of the salary range unit associated with each said at least one multiplier, and wherein the content data includes each said at least one multiplier. 201. The computer program product of claim 200 , wherein the storing of the element is to a file. | 0.97905 |
8,645,123 | 1 | 6 | 1. A computer-implemented process for establishing a measure of an image-based semantic distance between semantic concepts, comprising: using a computer to perform the following process actions: respectively computing a semantic concept representation for each concept based on images associated with the concept; and computing a degree of difference between two semantic concept representations to produce said image-based semantic distance measure for the pair of corresponding semantic concepts. | 1. A computer-implemented process for establishing a measure of an image-based semantic distance between semantic concepts, comprising: using a computer to perform the following process actions: respectively computing a semantic concept representation for each concept based on images associated with the concept; and computing a degree of difference between two semantic concept representations to produce said image-based semantic distance measure for the pair of corresponding semantic concepts. 6. The process of claim 1 , wherein at least one of the semantic concepts comprises an object depicted in the images associated with the corresponding concept. | 0.915784 |
9,104,969 | 1 | 7 | 1. A system configured to utilize semantic analysis to set a processing level for processing measurements of affective response, comprising: a semantic analyzer configured to: receive a first segment of content, analyze the first segment utilizing semantic analysis, and output a first indication that a first value related to a predicted emotional response to the first segment does not reach a first predetermined threshold; wherein the first segment comprises data representing text; and a hardware-based controller configured to select, based on the first indication, a first processing level for a processor to process measurements of affective response of a user to the first segment; wherein the semantic analyzer is further configured to: receive a second segment of content, analyze the second segment utilizing semantic analysis, and output a second indication that a second value related to a predicted emotional response to the second segment reaches a second predetermined threshold; wherein the second segment comprises data representing text; wherein the hardware-based controller is further configured to select, based on the second indication, a second processing level for a processor to process measurements of affective response of the user to the second segment; wherein, per volume unit of measurement data, the number of computation cycles utilized by the processor to process, at the first processing level, the measurements of the affective response of the user to the first segment, is at least 50% lower than the number of computation cycles utilized by the processor to process, at the second processing level, the measurements of the affective response of the user to the second segment. | 1. A system configured to utilize semantic analysis to set a processing level for processing measurements of affective response, comprising: a semantic analyzer configured to: receive a first segment of content, analyze the first segment utilizing semantic analysis, and output a first indication that a first value related to a predicted emotional response to the first segment does not reach a first predetermined threshold; wherein the first segment comprises data representing text; and a hardware-based controller configured to select, based on the first indication, a first processing level for a processor to process measurements of affective response of a user to the first segment; wherein the semantic analyzer is further configured to: receive a second segment of content, analyze the second segment utilizing semantic analysis, and output a second indication that a second value related to a predicted emotional response to the second segment reaches a second predetermined threshold; wherein the second segment comprises data representing text; wherein the hardware-based controller is further configured to select, based on the second indication, a second processing level for a processor to process measurements of affective response of the user to the second segment; wherein, per volume unit of measurement data, the number of computation cycles utilized by the processor to process, at the first processing level, the measurements of the affective response of the user to the first segment, is at least 50% lower than the number of computation cycles utilized by the processor to process, at the second processing level, the measurements of the affective response of the user to the second segment. 7. The system of claim 1 , wherein the first and second predetermined thresholds represent first and second benefit levels, respectively; and wherein the first and second values represent predicted benefits to measuring affective response to the first and second segments, respectively; whereby the processor is configured to operate at the first processing level to process measurements of affective response of the user to the first segment when the first indication indicates that a benefit of measuring affective response to the first segment does not reach the first benefit level, and the processor is configured to operate at the second processing level to process measurements of affective response of the user to the second segment when the second indication indicates that a benefit of measuring affective response to the second segment does reach the second benefit level. | 0.530818 |
10,142,791 | 18 | 20 | 18. The mobile device of claim 14 , wherein the mobile device is further configured to evaluate a second context of the mobile device by activating classification using at least two of the classifiers in sequence according to the hierarchy. | 18. The mobile device of claim 14 , wherein the mobile device is further configured to evaluate a second context of the mobile device by activating classification using at least two of the classifiers in sequence according to the hierarchy. 20. The mobile device of claim 18 , wherein the mobile device is configured to activate classification by a classifier assigned to the higher level sensor group upon a negative classification by a classifier assigned to the lower level sensor group for either the first context or the second context. | 0.877551 |
9,116,977 | 1 | 2 | 1. A method performed by one or more processors configured with computer-executable instructions, the method comprising: obtaining a category click rate of a query, the category click rate being a percentage of a number of clicks of a respective category to a number of all categories to which the query belongs, the obtaining a category click rate including segmenting the query to obtain one or more words, finding one or more core words among the one or more words from the query, and obtaining a category click rate of a string formed by the one or more core words as the category click rate of the query; obtaining a category click rate of published information; calculating a similarity degree between the query and the published information based on the category click rate of the query and the category click rate of the published information; and returning the published information as a successful matching result if the calculated similarity degree is higher than a first threshold. | 1. A method performed by one or more processors configured with computer-executable instructions, the method comprising: obtaining a category click rate of a query, the category click rate being a percentage of a number of clicks of a respective category to a number of all categories to which the query belongs, the obtaining a category click rate including segmenting the query to obtain one or more words, finding one or more core words among the one or more words from the query, and obtaining a category click rate of a string formed by the one or more core words as the category click rate of the query; obtaining a category click rate of published information; calculating a similarity degree between the query and the published information based on the category click rate of the query and the category click rate of the published information; and returning the published information as a successful matching result if the calculated similarity degree is higher than a first threshold. 2. The method as recited in claim 1 , wherein the finding the one or more core words among the one or more words from the query comprises: determining a word in the one or more words after the segment as a present word; and if a difference between a category click rate of a string formed by the one or more words after the segment except for the present word and a category click rate of another string formed by the one or more words after the segment reaches a second threshold, determining the present word as a core word, or if a difference between a category click rate of a string formed by the one or more words after the segment except for the present word and a category click rate of another string formed by the one or more words after the segment does not reach the second threshold, determining the present word as a non-core word. | 0.733438 |
9,967,297 | 1 | 2 | 1. A non-transitory computer-readable medium embodying a program executable in a computing device, wherein, when executed, the program causes the computing device to at least: identify a plurality of third party profiles corresponding to a plurality of third party users based at least in part on at least one third party selection criterion, the at least one third party selection criterion being received from a first network page rendered on a client device, wherein identifying the plurality of third party profiles based at least in part on the at least one third party selection criterion comprises comparing a plurality of significant terms extracted from a first profile and a second profile associated with a single user account to a respective description for individual ones of the plurality of third party profiles, the plurality of significant terms being extracted from the first profile and the second profile based at least in part on identifying at least one of a grammatically emphasized term or a frequently used term; generate a second network page associated with a topic received from the client device, the second network page comprising a user interface to facilitate an input of a plurality of suggestions from at least one of a plurality of devices associated with the plurality of third party users, wherein the plurality of suggestions are associated with at least one item offered by an electronic commerce system; and cause the second network page to be transmitted to the client device and the plurality of devices associated with the plurality of third party users. | 1. A non-transitory computer-readable medium embodying a program executable in a computing device, wherein, when executed, the program causes the computing device to at least: identify a plurality of third party profiles corresponding to a plurality of third party users based at least in part on at least one third party selection criterion, the at least one third party selection criterion being received from a first network page rendered on a client device, wherein identifying the plurality of third party profiles based at least in part on the at least one third party selection criterion comprises comparing a plurality of significant terms extracted from a first profile and a second profile associated with a single user account to a respective description for individual ones of the plurality of third party profiles, the plurality of significant terms being extracted from the first profile and the second profile based at least in part on identifying at least one of a grammatically emphasized term or a frequently used term; generate a second network page associated with a topic received from the client device, the second network page comprising a user interface to facilitate an input of a plurality of suggestions from at least one of a plurality of devices associated with the plurality of third party users, wherein the plurality of suggestions are associated with at least one item offered by an electronic commerce system; and cause the second network page to be transmitted to the client device and the plurality of devices associated with the plurality of third party users. 2. The non-transitory computer-readable medium of claim 1 , wherein the topic is associated with at least one item offered by the electronic commerce system. | 0.804726 |
8,165,354 | 14 | 15 | 14. A method of face recognition comprising: extracting signature features of a face in at least one image based upon face alignment localization, wherein the extracting includes using a face alignment model; generating at least one reconstruction error based upon the face alignment localization, wherein the generating includes using the face alignment model; and identifying a person from the face in the at least one image based upon a direct combination of the extracted signature features and the at least one generated reconstruction error. | 14. A method of face recognition comprising: extracting signature features of a face in at least one image based upon face alignment localization, wherein the extracting includes using a face alignment model; generating at least one reconstruction error based upon the face alignment localization, wherein the generating includes using the face alignment model; and identifying a person from the face in the at least one image based upon a direct combination of the extracted signature features and the at least one generated reconstruction error. 15. The method of claim 14 , further comprising training shape and texture models based on annotated feature points of at least one of a person or class of persons in order to produce the face alignment model. | 0.733418 |
9,009,176 | 7 | 8 | 7. The method of claim 6 , wherein each trie node includes a sequential ID and the current sequential ID of a descendant trie node is between the sequential id of a parent trie node and a predefined maximum sequential ID. | 7. The method of claim 6 , wherein each trie node includes a sequential ID and the current sequential ID of a descendant trie node is between the sequential id of a parent trie node and a predefined maximum sequential ID. 8. The method of claim 7 , wherein the trie nodes in the iso-depth link are sorted by their IDs in ascending order. | 0.955008 |
7,665,030 | 2 | 11 | 2. A method comprising: displaying a tabstrip widget including at least first and second tabs, each of the at least first and second tabs further including a tab conditions panel and a tab summary panel, the tab summary panel configured to display a first statistic associated with a term of a Boolean expression defined by the corresponding tab conditions panel, a first update element operable to, in response to user selection, update the first statistic, a second statistic associated with the entire Boolean expression, and a second update element operable to, in response to user selection, update the second statistic, and the tabstrip widget being configured to display one tab conditions panel of the at least first and second tabs at a time; receiving a first user input defining a first term of a Boolean expression including a first number of condition statements; displaying the first term of the Boolean expression in the tab conditions panel of the first tab; superimposing the tab conditions panel of the second tab on the tab conditions panel of the first tab; receiving a second user input defining a second term of the Boolean expression including a second number of condition statements, the second number of condition statements being different than the first number of condition statements; displaying the second term of the Boolean expression in the tab conditions panel of the second tab; in response to user selection of the first update element included in the tab summary panel of the second tab, updating the first statistic included in the tab summary panel of the second tab based on the second term of the Boolean expression including the second number of condition statements; in response to user selection of the second update element included in the tab summary panel of the second tab, updating the second statistic included in the tab summary panel of the second tab based on the entire Boolean expression defined by the first term of the Boolean expression including the first number of condition statements and the second term of the Boolean expression including the second number of condition statements; and outputting data satisfying the first and second terms of the Boolean expression. | 2. A method comprising: displaying a tabstrip widget including at least first and second tabs, each of the at least first and second tabs further including a tab conditions panel and a tab summary panel, the tab summary panel configured to display a first statistic associated with a term of a Boolean expression defined by the corresponding tab conditions panel, a first update element operable to, in response to user selection, update the first statistic, a second statistic associated with the entire Boolean expression, and a second update element operable to, in response to user selection, update the second statistic, and the tabstrip widget being configured to display one tab conditions panel of the at least first and second tabs at a time; receiving a first user input defining a first term of a Boolean expression including a first number of condition statements; displaying the first term of the Boolean expression in the tab conditions panel of the first tab; superimposing the tab conditions panel of the second tab on the tab conditions panel of the first tab; receiving a second user input defining a second term of the Boolean expression including a second number of condition statements, the second number of condition statements being different than the first number of condition statements; displaying the second term of the Boolean expression in the tab conditions panel of the second tab; in response to user selection of the first update element included in the tab summary panel of the second tab, updating the first statistic included in the tab summary panel of the second tab based on the second term of the Boolean expression including the second number of condition statements; in response to user selection of the second update element included in the tab summary panel of the second tab, updating the second statistic included in the tab summary panel of the second tab based on the entire Boolean expression defined by the first term of the Boolean expression including the first number of condition statements and the second term of the Boolean expression including the second number of condition statements; and outputting data satisfying the first and second terms of the Boolean expression. 11. The method of claim 2 , further comprising receiving a third user input redefining the first term of the Boolean expression, the redefined first term of the Boolean expression including a third number of condition statements that is different than the first number of condition statements. | 0.836313 |
9,244,973 | 1 | 13 | 1. A method comprising: receiving, by a computing device, a media file; parsing the media file to determine a grammatical structure of language contained in the media file; and adding the language contained in the media file to an index. | 1. A method comprising: receiving, by a computing device, a media file; parsing the media file to determine a grammatical structure of language contained in the media file; and adding the language contained in the media file to an index. 13. The method of claim 1 , comprising: determining a time code at which the language contained in the media file occurs in the media file. | 0.85729 |
9,424,246 | 1 | 6 | 1. A system comprising: a processor; and memory storing instructions that, when executed by the processor, configure the processor to: receive text input by a user; generate at least one first text prediction, each first text prediction comprising a first term and a first associated probability value, based on the received text input, using a general language model; generate at least one second text prediction, each second text prediction comprising a second term and a second associated probability value, based on the received text input, using a context-specific language model, wherein the context-specific language model is trained on user input text inputted during a specific time period; combine the at least one first text prediction generated using the general language model and the at least one second text prediction generated using the context-specific language model; and output one or more of the combined text predictions. | 1. A system comprising: a processor; and memory storing instructions that, when executed by the processor, configure the processor to: receive text input by a user; generate at least one first text prediction, each first text prediction comprising a first term and a first associated probability value, based on the received text input, using a general language model; generate at least one second text prediction, each second text prediction comprising a second term and a second associated probability value, based on the received text input, using a context-specific language model, wherein the context-specific language model is trained on user input text inputted during a specific time period; combine the at least one first text prediction generated using the general language model and the at least one second text prediction generated using the context-specific language model; and output one or more of the combined text predictions. 6. The system of claim 1 , wherein at least one of the first text prediction or the second text prediction comprises a word candidate, and wherein when a word candidate generated using the general language model matches a word candidate generated using the context-specific language model, the processor is configured to apply a weighting factor to the probability of the word candidate generated using the general language model. | 0.602588 |
8,824,548 | 1 | 10 | 1. A method for classifying an object in a scene, comprising the steps of: preprocessing a sequence of images, wherein each image is acquired of the object in the scene by a scanner, wherein the scanner includes a 1D laser line sensor, and each image includes columns of pixels, and each pixel has an associated depth value such that each image is a range image, wherein the preprocessing further comprises; denoising each image in the sequence; removing background pixels from each image; projecting, in 3D, each image to a 3D world coordinate system; correcting depth values; extracting features; and classifying the sequence of images, wherein the classifying further comprises: applying an appearance classifier to the features to obtain labels; applying a sequence classifier to smooth the labels; and enforcing a structure of the object to determine a class of the object, wherein the steps are performed in a processor. | 1. A method for classifying an object in a scene, comprising the steps of: preprocessing a sequence of images, wherein each image is acquired of the object in the scene by a scanner, wherein the scanner includes a 1D laser line sensor, and each image includes columns of pixels, and each pixel has an associated depth value such that each image is a range image, wherein the preprocessing further comprises; denoising each image in the sequence; removing background pixels from each image; projecting, in 3D, each image to a 3D world coordinate system; correcting depth values; extracting features; and classifying the sequence of images, wherein the classifying further comprises: applying an appearance classifier to the features to obtain labels; applying a sequence classifier to smooth the labels; and enforcing a structure of the object to determine a class of the object, wherein the steps are performed in a processor. 10. The method of claim 1 , wherein the labels are determined by evaluating with the appearance classifier by a sliding window technique along a time axis. | 0.503205 |
8,695,021 | 6 | 7 | 6. An article of manufacture comprising: a computer storage medium; computer program instructions stored on the computer storage medium which, when processed by a processing device, instruct the processing device to perform a process comprising: receiving metadata into memory describing application programming interfaces of an operating system; receiving an indication of a named element in a program in a target programming language referring to an element of one of the application programming interfaces; and using the metadata, creating a projection element in the program in the target programming language, the projection element being a projection of the element of the application programming interface of the operating system to the named element in the program, such that at runtime, the projection element in the program allows the program to access the application program interface of the operating system; wherein projecting the projection element marshals data between an operating system representation and an application representation according to type; wherein the metadata is stored in a metadata file, wherein the metadata file describes elements of the application programming interface in a machine readable programming language independent format and is stored in a standard file format in a known location as part of the operating system. | 6. An article of manufacture comprising: a computer storage medium; computer program instructions stored on the computer storage medium which, when processed by a processing device, instruct the processing device to perform a process comprising: receiving metadata into memory describing application programming interfaces of an operating system; receiving an indication of a named element in a program in a target programming language referring to an element of one of the application programming interfaces; and using the metadata, creating a projection element in the program in the target programming language, the projection element being a projection of the element of the application programming interface of the operating system to the named element in the program, such that at runtime, the projection element in the program allows the program to access the application program interface of the operating system; wherein projecting the projection element marshals data between an operating system representation and an application representation according to type; wherein the metadata is stored in a metadata file, wherein the metadata file describes elements of the application programming interface in a machine readable programming language independent format and is stored in a standard file format in a known location as part of the operating system. 7. The article of manufacture of claim 6 , wherein creating the projection element comprises, at compile time, creating code that defines one or more projection elements. | 0.77027 |
8,977,553 | 1 | 5 | 1. A method comprising: receiving an indication of user activity with respect to a text input system of an electronic device; determining one or more activity indicators corresponding to user typing habits based on at least the user activity, including typing speed; identifying one or more components of the text input system, each component providing a typing assistance functionality to a user and being associated with a set of parameters, the one or more components including an auto-correct component and a predictive text component; and for each of the one or more components: determining, by a processor, whether the component should be adjusted based on the one or more activity indicators; and dynamically adjusting the component responsive to determining that the component should be adjusted based on the one or more activity indicators; wherein dynamically adjusting the auto-correct component and the predictive text component comprises adjusting a ratio of display of predictive text to auto-correct text. | 1. A method comprising: receiving an indication of user activity with respect to a text input system of an electronic device; determining one or more activity indicators corresponding to user typing habits based on at least the user activity, including typing speed; identifying one or more components of the text input system, each component providing a typing assistance functionality to a user and being associated with a set of parameters, the one or more components including an auto-correct component and a predictive text component; and for each of the one or more components: determining, by a processor, whether the component should be adjusted based on the one or more activity indicators; and dynamically adjusting the component responsive to determining that the component should be adjusted based on the one or more activity indicators; wherein dynamically adjusting the auto-correct component and the predictive text component comprises adjusting a ratio of display of predictive text to auto-correct text. 5. The method of claim 1 , wherein the one or more components comprise a dictionary component for providing a dictionary in association with the text input system, and wherein the set of parameters associated with the dictionary component comprises at least one of a parameter for a language of the dictionary or a priority for each of multiple language dictionaries. | 0.784371 |
8,384,917 | 1 | 9 | 1. A method for font reproduction in electronic documents, comprising: receiving an image of a printed document; extracting pairs of consecutive characters from the image of the printed document; storing the extracted pairs as images of the characters; and reproducing the printed document as an electronic document with text of overlapping extracted character pair images; wherein said steps are implemented in either: computer hardware configured to perform said identifying, tracing, and providing steps, or computer software embodied in a non-transitory, tangible, computer-readable storage medium. | 1. A method for font reproduction in electronic documents, comprising: receiving an image of a printed document; extracting pairs of consecutive characters from the image of the printed document; storing the extracted pairs as images of the characters; and reproducing the printed document as an electronic document with text of overlapping extracted character pair images; wherein said steps are implemented in either: computer hardware configured to perform said identifying, tracing, and providing steps, or computer software embodied in a non-transitory, tangible, computer-readable storage medium. 9. The method as claimed in claim 1 , including extrapolating character pairs to create missing character pairs. | 0.767635 |
7,734,459 | 23 | 33 | 23. A computer-implemented method of associating dependency structures from two different languages stored on a tangible computer readable medium, wherein the dependency structures comprise nodes organized in a parent/child structure, the computer-implemented method comprising: aligning nodes of the dependency structures with correspondences on the tangible medium with a computer as a function of a set of rules comprising at least three different rules, wherein the dependency structures comprise a set of unaligned nodes and wherein after each of the rules are applied any aligned nodes are removed from the set of unaligned nodes before applying another rule, and wherein aligning does not require beginning with either a top or bottom node of the hierarchical parent/child structure of the dependency structures, and wherein aligning is not based on top-down processing or bottom-up processing of nodes; and providing an output from the computer indicative of the alignment of the dependency structures. | 23. A computer-implemented method of associating dependency structures from two different languages stored on a tangible computer readable medium, wherein the dependency structures comprise nodes organized in a parent/child structure, the computer-implemented method comprising: aligning nodes of the dependency structures with correspondences on the tangible medium with a computer as a function of a set of rules comprising at least three different rules, wherein the dependency structures comprise a set of unaligned nodes and wherein after each of the rules are applied any aligned nodes are removed from the set of unaligned nodes before applying another rule, and wherein aligning does not require beginning with either a top or bottom node of the hierarchical parent/child structure of the dependency structures, and wherein aligning is not based on top-down processing or bottom-up processing of nodes; and providing an output from the computer indicative of the alignment of the dependency structures. 33. The computer-implemented method of claim 23 wherein one rule of the set of rules comprises aligning a pair of nodes, one from each dependency structure, comprising the same part-of-speech, if respective child nodes are aligned with each other and the linguistic relationship between the set of nodes under consideration and their respective child nodes are the same. | 0.648289 |
9,047,104 | 1 | 2 | 1. A method for internationalizing a target computer program, comprising: associating a text string in the target computer program with an attribute of a user-interface element, wherein the target computer program includes program code conforming to a certain programming language syntax, including a non-executable annotation syntax, the user interface element being defined in the target computer program, wherein the associating is provided, at least in part, by forming a user interface element annotation in the non-executable annotation syntax and inserting the user interface element annotation, with the text string therein, in the target computer program; and causing the text string in the target computer program's user interface element annotation to be displayed on the attribute for a displayed instance of the user interface element by a computer system executing an internationalize method of the target computer program, wherein executing the internationalize method obtains the displayed text string directly from the text string of the user interface element annotation. | 1. A method for internationalizing a target computer program, comprising: associating a text string in the target computer program with an attribute of a user-interface element, wherein the target computer program includes program code conforming to a certain programming language syntax, including a non-executable annotation syntax, the user interface element being defined in the target computer program, wherein the associating is provided, at least in part, by forming a user interface element annotation in the non-executable annotation syntax and inserting the user interface element annotation, with the text string therein, in the target computer program; and causing the text string in the target computer program's user interface element annotation to be displayed on the attribute for a displayed instance of the user interface element by a computer system executing an internationalize method of the target computer program, wherein executing the internationalize method obtains the displayed text string directly from the text string of the user interface element annotation. 2. The method of claim 1 , wherein obtaining the displayed text string comprises: extracting the text string from the user interface element annotation by executing the internationalize method, and the method further comprising: defining a name for a resource bundle to which the text string of the user interface element annotation may be extracted, wherein the defining is provided, at least in part, by a resource bundle annotation in the target computer program; and creating the resource bundle by a computer system executing an annotation processor program, wherein the executing annotation processor program processes source code of the target computer program, including processing the user interface element annotation and resource bundle annotation. | 0.500658 |
7,852,499 | 11 | 15 | 11. A method for detecting captions in a document that includes text fragments and objects of interest, the method comprising: assigning a signature to each text fragment, the signature being the value for that text fragment of a text fragment representation comprising at least one text fragment attribute; computing a near property for each text fragment, the near property having a near value if the proximity of the text fragment to at least one object of interest in the document satisfies a near criterion and a value other than the near value otherwise, wherein the near criterion is satisfied conditional upon there being no intervening text fragments between text fragment for which the near property is being computed and at least one object of interest; identifying a caption signature as a signature assigned to a substantial number of text fragments that are near at least one object of interest in the document, the near property being used in the identifying to recognize text fragments that are near at least one object of interest in the document; and detecting one or more captions as one or more text fragments each assigned a caption signature. | 11. A method for detecting captions in a document that includes text fragments and objects of interest, the method comprising: assigning a signature to each text fragment, the signature being the value for that text fragment of a text fragment representation comprising at least one text fragment attribute; computing a near property for each text fragment, the near property having a near value if the proximity of the text fragment to at least one object of interest in the document satisfies a near criterion and a value other than the near value otherwise, wherein the near criterion is satisfied conditional upon there being no intervening text fragments between text fragment for which the near property is being computed and at least one object of interest; identifying a caption signature as a signature assigned to a substantial number of text fragments that are near at least one object of interest in the document, the near property being used in the identifying to recognize text fragments that are near at least one object of interest in the document; and detecting one or more captions as one or more text fragments each assigned a caption signature. 15. The method as set forth in claim 11 , further comprising: conditional upon the identifying initially not identifying any caption signatures, repeating the computing of the near property and the identifying wherein the repeated computing of the near property employs a different near criterion. | 0.558036 |
9,268,668 | 8 | 19 | 8. A computer-implemented method, comprising: executing an application under test in a layout engine module, wherein the application under test comprises one or more instructions in one scripting language, wherein a selected scripting language engine is configured to interpret the one or more instructions in the one scripting language, and wherein the selected scripting language engine is selected using a user interface of testing options; initializing, in the layout engine module, a debugging session for the application under test, wherein the debugging session is configured to generate output data for the application under test, wherein the debugging session is based on a testing option that selects the selected scripting language engine from among a plurality of scripting language engines, and wherein each scripting language engine of the plurality of scripting language engines is configured to interpret the one scripting language; executing a communication module configured to receive at least packed command data associated with the debugging session; and executing an unpack module configured to establish communication between the communication module and the layout engine module at least to provide unpacked command data based on the packed command data to the layout engine module. | 8. A computer-implemented method, comprising: executing an application under test in a layout engine module, wherein the application under test comprises one or more instructions in one scripting language, wherein a selected scripting language engine is configured to interpret the one or more instructions in the one scripting language, and wherein the selected scripting language engine is selected using a user interface of testing options; initializing, in the layout engine module, a debugging session for the application under test, wherein the debugging session is configured to generate output data for the application under test, wherein the debugging session is based on a testing option that selects the selected scripting language engine from among a plurality of scripting language engines, and wherein each scripting language engine of the plurality of scripting language engines is configured to interpret the one scripting language; executing a communication module configured to receive at least packed command data associated with the debugging session; and executing an unpack module configured to establish communication between the communication module and the layout engine module at least to provide unpacked command data based on the packed command data to the layout engine module. 19. The method of claim 8 , further comprising: during the debugging session, determining a hierarchy view of the application under test, the hierarchy view including a plurality of objects associated with the application under test; accessing a class reference included in the hierarchy view; and modifying the executing of the application under test within the debugging session, based at least partly on the class reference. | 0.501168 |
7,937,354 | 1 | 17 | 1. A computer-implemented method comprising: automatically generating, at a local rule engine, a rule engine vocabulary comprising a context description and a result description that respectively define an input to and an output of an external rule engine, the rule engine vocabulary defining a data type of a result; serializing the rule engine vocabulary in a schema document that, when received at the external rule engine, allows a rule to be defined by the external rule engine based on the context description and the result description; transmitting the schema document to the external rule engine; transmitting a context specified according to the context description as the input to the external rule engine, for evaluation by the rule to provide the result corresponding to the data type; receiving, at the local rule engine, the result specified according to the result description as the output of the external rule engine; and outputting the result. | 1. A computer-implemented method comprising: automatically generating, at a local rule engine, a rule engine vocabulary comprising a context description and a result description that respectively define an input to and an output of an external rule engine, the rule engine vocabulary defining a data type of a result; serializing the rule engine vocabulary in a schema document that, when received at the external rule engine, allows a rule to be defined by the external rule engine based on the context description and the result description; transmitting the schema document to the external rule engine; transmitting a context specified according to the context description as the input to the external rule engine, for evaluation by the rule to provide the result corresponding to the data type; receiving, at the local rule engine, the result specified according to the result description as the output of the external rule engine; and outputting the result. 17. The method of claim 1 , wherein the external rule engine is a business rule engine. | 0.857377 |
9,256,808 | 1 | 2 | 1. A camera enabled device for classifying an image based on a user context, said camera enabled device comprising: a camera that captures an image of an object; a location data determining unit that determines a location data of said object captured in said image; a memory unit that stores a set of modules and a database; and a processor that executes said set of modules, wherein said set of modules comprises: an attribute data determination module that determines an attribute data of said object based on said image; a sensor data obtaining module that obtains sensor data from sensors that are associated with said location data based on said attribute data; a user context determination module that determines a recommended user context from a plurality of predefined user contexts based on a comparison of said location data, said attribute data, and said sensor data with location data, attribute data, and sensor data of a plurality of images associated with each of said plurality of predefined user contexts; a relevant class determination module that determines a recommended class of said image based on said recommended user context; and an image classification module that classifies said image based on said recommended class. | 1. A camera enabled device for classifying an image based on a user context, said camera enabled device comprising: a camera that captures an image of an object; a location data determining unit that determines a location data of said object captured in said image; a memory unit that stores a set of modules and a database; and a processor that executes said set of modules, wherein said set of modules comprises: an attribute data determination module that determines an attribute data of said object based on said image; a sensor data obtaining module that obtains sensor data from sensors that are associated with said location data based on said attribute data; a user context determination module that determines a recommended user context from a plurality of predefined user contexts based on a comparison of said location data, said attribute data, and said sensor data with location data, attribute data, and sensor data of a plurality of images associated with each of said plurality of predefined user contexts; a relevant class determination module that determines a recommended class of said image based on said recommended user context; and an image classification module that classifies said image based on said recommended class. 2. The camera enabled device of claim 1 , wherein said set of modules comprise: an annotation data selection module that selects a plurality of annotation data from at least one of said location data, said attribute data, and said sensor data based on said recommended class or said recommended user context; and an image annotation module that annotates said image with said annotation data. | 0.544186 |
8,301,616 | 24 | 36 | 24. The method of claim 7 , wherein the plurality of search contexts includes a web portal. | 24. The method of claim 7 , wherein the plurality of search contexts includes a web portal. 36. One or more non-transitory storage media storing instructions which, when executed by one or more computing devices, cause performance of the method recited in claim 24 . | 0.978444 |
9,325,508 | 34 | 35 | 34. The method of claim 33 , wherein the operational policies and procedures under which the presentation authority operates each has a policy identifier. | 34. The method of claim 33 , wherein the operational policies and procedures under which the presentation authority operates each has a policy identifier. 35. The method of claim 34 , wherein the policy identifier of the presentation authority is an object identifier. | 0.97919 |
9,942,426 | 14 | 16 | 14. A computer program product for receiving edits to an electronic document, the computer program product comprising: a non-transitory computer readable storage medium comprising computer usable program code embodied therewith, the computer usable program code comprising: computer usable program code to, when executed by a processor, present an electronic document to a user via a multi-touch display device of a multifunctional peripheral device; computer usable program code to, when executed by a processor, receive edits to the electronic document; and computer usable program code to, when executed by a processor, store the edits with the electronic document as an electronically separate image surface that is viewable as a thumbnail on the multi-touch display device as a preview, and the electronically separate image surface is different from the image surface of the electronic document, wherein the electronic document remains unchanged when the image surface with edits is placed over the image surface of the electronic document for printing. | 14. A computer program product for receiving edits to an electronic document, the computer program product comprising: a non-transitory computer readable storage medium comprising computer usable program code embodied therewith, the computer usable program code comprising: computer usable program code to, when executed by a processor, present an electronic document to a user via a multi-touch display device of a multifunctional peripheral device; computer usable program code to, when executed by a processor, receive edits to the electronic document; and computer usable program code to, when executed by a processor, store the edits with the electronic document as an electronically separate image surface that is viewable as a thumbnail on the multi-touch display device as a preview, and the electronically separate image surface is different from the image surface of the electronic document, wherein the electronic document remains unchanged when the image surface with edits is placed over the image surface of the electronic document for printing. 16. The computer program product of claim 14 , further comprising computer useable program code to, when executed by a processor, receive input at the multi-touch display device indicative of a gesture-based manipulation of content displayed in the electronic document. | 0.636486 |
9,465,814 | 10 | 12 | 10. The storage medium of claim 8 wherein obtaining the image associated with the particular website further comprises altering the image. | 10. The storage medium of claim 8 wherein obtaining the image associated with the particular website further comprises altering the image. 12. The storage medium of claim 10 wherein altering the image includes resizing the image. | 0.981428 |
8,886,517 | 1 | 6 | 1. A method for generating a trust score for a translation, the method comprising: establishing, using a processor, a trust score for at least a portion of a first translation of a source text translated by a trusted translation system, the trust score representing an accuracy level for the first translation; comparing, using the processor, the first translation of the source text generated by the trusted translation system to a second translation of the source text generated by an untrusted translation system; evaluating, using the processor, the source text using a language model to determine a translation complexity for the source text; and determining, using the processor, a trust score for the second translation based upon the comparison and using the determined translation complexity. | 1. A method for generating a trust score for a translation, the method comprising: establishing, using a processor, a trust score for at least a portion of a first translation of a source text translated by a trusted translation system, the trust score representing an accuracy level for the first translation; comparing, using the processor, the first translation of the source text generated by the trusted translation system to a second translation of the source text generated by an untrusted translation system; evaluating, using the processor, the source text using a language model to determine a translation complexity for the source text; and determining, using the processor, a trust score for the second translation based upon the comparison and using the determined translation complexity. 6. The method according to claim 1 , wherein the trust score for the first translation comprises an average of a sum of trust scores for translated target language segments of the source text. | 0.776744 |
8,997,073 | 1 | 4 | 1. A computer implemented method comprising: identifying code regions in an application from which one or more offloadable tasks can be generated by a compiler for a heterogenous computing system including a processor and an accelerator memory, comprising: adding, by the processor, relaxed semantics to a directive based language in the heterogenous computing system for allowing a user to suggest rather than specify a parallel code region as an offloadable task candidate, wherein the offloadable task candidate is a sub-offload or a super-offload; and identifying, by the processor, one or more offloadable tasks in a neighborhood of code region marked by the directive based language. | 1. A computer implemented method comprising: identifying code regions in an application from which one or more offloadable tasks can be generated by a compiler for a heterogenous computing system including a processor and an accelerator memory, comprising: adding, by the processor, relaxed semantics to a directive based language in the heterogenous computing system for allowing a user to suggest rather than specify a parallel code region as an offloadable task candidate, wherein the offloadable task candidate is a sub-offload or a super-offload; and identifying, by the processor, one or more offloadable tasks in a neighborhood of code region marked by the directive based language. 4. The computer implemented method of claim 1 , wherein the sub-offload comprises handling reduction variables and critical sections across sub-loops without additional synchronization. | 0.691667 |
8,805,861 | 1 | 12 | 1. A non-transitory computer readable storage medium storing at least one program configured for execution by at least one processor of a computer system, the at least one program comprising instructions to: obtain a domain model comprising a set of entity types having corresponding properties and relationships between entities in a set of entities, wherein the domain model is characterized by a domain grammar; receive a first tag layout of a first source document obtained from a first information source associated with the domain model, the first tag layout comprising: (i) a plurality of user-provided navigational tags, wherein a user-provided navigational tag in the plurality of a user-provided navigational tags indicates a navigational position of the first source document relative to a second source document, from the first information source, navigationally connected with the first source document, and (ii) a plurality of corresponding user-identified tokens in the first source document, wherein a user-identified token in the plurality of corresponding user-identified tokens includes a portion of content of the first source document; select a page grammar in plurality of page grammars for the first source document in accordance with the plurality of user provided navigational tags; extract information from a third source document having a predefined degree of tag layout similarity to the first source document using the page grammar, wherein the second source document is obtained from a second information source; and transform the information extracted from the second source document in accordance with the domain grammar, thereby extracting and integrating information from a plurality of information sources. | 1. A non-transitory computer readable storage medium storing at least one program configured for execution by at least one processor of a computer system, the at least one program comprising instructions to: obtain a domain model comprising a set of entity types having corresponding properties and relationships between entities in a set of entities, wherein the domain model is characterized by a domain grammar; receive a first tag layout of a first source document obtained from a first information source associated with the domain model, the first tag layout comprising: (i) a plurality of user-provided navigational tags, wherein a user-provided navigational tag in the plurality of a user-provided navigational tags indicates a navigational position of the first source document relative to a second source document, from the first information source, navigationally connected with the first source document, and (ii) a plurality of corresponding user-identified tokens in the first source document, wherein a user-identified token in the plurality of corresponding user-identified tokens includes a portion of content of the first source document; select a page grammar in plurality of page grammars for the first source document in accordance with the plurality of user provided navigational tags; extract information from a third source document having a predefined degree of tag layout similarity to the first source document using the page grammar, wherein the second source document is obtained from a second information source; and transform the information extracted from the second source document in accordance with the domain grammar, thereby extracting and integrating information from a plurality of information sources. 12. The non-transitory computer readable storage medium of claim 1 , wherein a user-provided navigational tag in the plurality of user-provided navigational tags comprises one or more tokens in a source document in the first set of source documents. | 0.672368 |
4,214,125 | 97 | 100 | 97. For use with a memory element containing compressed information time domain signals produced by predetermined signal compression techniques and instruction signals specifying the particular compression techniques applied to original information bearing time domain signals to produce corresponding portions of said compressed information time domain signals, said predetermined signal compression techniques including Mozer phase adjusting of said original information bearing time domain signals, a controller device for synthesizing said original information bearing time domain signals, said controller device comprising: controller storage means having an input adapted to be coupled to said memory element for sequentially receiving ordered ones of said compressed information time domain signals; means adapted to be coupled to said controller storage means for generating control signals enabling said ordered ones of said compressed information time domain signals to be coupled to said controller storage means, said control signal generator means including means for receiving corresponding ones of said instruction signals identifying the type of compression technique applied to said ordered ones of said compressed information time domain signals associated with said control signals; converter means coupled to said controller storage means for converting said ordered ones of said compressed information time domain signals to synthetic analog signals corresponding to said original information bearing time domain signals; and means responsive to receipt of a Mozer phase adjust instruction signal from said memory element for causing compressed information time domain signals stored in said controller storage means to be sequentially coupled to said converter means in a first ordered manner and subsequently causing the same signals stored in said controller storage means to be sequentially coupled to said converter means in a reverse manner from said first ordered manner. | 97. For use with a memory element containing compressed information time domain signals produced by predetermined signal compression techniques and instruction signals specifying the particular compression techniques applied to original information bearing time domain signals to produce corresponding portions of said compressed information time domain signals, said predetermined signal compression techniques including Mozer phase adjusting of said original information bearing time domain signals, a controller device for synthesizing said original information bearing time domain signals, said controller device comprising: controller storage means having an input adapted to be coupled to said memory element for sequentially receiving ordered ones of said compressed information time domain signals; means adapted to be coupled to said controller storage means for generating control signals enabling said ordered ones of said compressed information time domain signals to be coupled to said controller storage means, said control signal generator means including means for receiving corresponding ones of said instruction signals identifying the type of compression technique applied to said ordered ones of said compressed information time domain signals associated with said control signals; converter means coupled to said controller storage means for converting said ordered ones of said compressed information time domain signals to synthetic analog signals corresponding to said original information bearing time domain signals; and means responsive to receipt of a Mozer phase adjust instruction signal from said memory element for causing compressed information time domain signals stored in said controller storage means to be sequentially coupled to said converter means in a first ordered manner and subsequently causing the same signals stored in said controller storage means to be sequentially coupled to said converter means in a reverse manner from said first ordered manner. 100. The combination of claim 97 wherein said predetermined signal compression techniques include delta modulation of said original information bearing time domain signals, and wherein said controller device further includes means coupled to said controller storage means for delta demodulating signals appearing at the output thereof, when enabled, and means coupled to said delta demodulating means and responsive to the receipt by said control means of a delta modulation instruction signal from said memory element for enabling said delta demodulating means to delta demodulate the ordered ones of said compressed information signals corresponding to said delta demodulation instruction signal. | 0.908877 |
9,396,721 | 22 | 24 | 22. The at least one non-transitory computer-readable medium of claim 17 , wherein the method further comprises an act of capturing the sounds captured from the operating environment. | 22. The at least one non-transitory computer-readable medium of claim 17 , wherein the method further comprises an act of capturing the sounds captured from the operating environment. 24. The at least one non-transitory computer-readable medium of claim 22 , wherein the sounds are captured from the operating environment immediately after a user uses voice to interact with a system in the operating environment. | 0.930268 |
9,547,937 | 1 | 7 | 1. A three-dimensional annotation method comprising: obtaining a source image that is two-dimensional or three-dimensional; displaying said source image on a screen associated with a first computer; accepting an annotation associated with a desired depth of a region within said source image via an input device coupled with said first computer; obtaining at least one depth associated with said annotation; wherein said at least one depth corresponds with said desired depth of said region; and, annotating said source image with said annotation at said at least one depth in a three-dimensional image; generating an annotated stereoscopic image that comprises left and right eye views that differ from each other having said annotation at said at least one depth that differs from a depth of said region; and, generating an output stereoscopic image with said region at said same depth as said at least one depth of said annotation. | 1. A three-dimensional annotation method comprising: obtaining a source image that is two-dimensional or three-dimensional; displaying said source image on a screen associated with a first computer; accepting an annotation associated with a desired depth of a region within said source image via an input device coupled with said first computer; obtaining at least one depth associated with said annotation; wherein said at least one depth corresponds with said desired depth of said region; and, annotating said source image with said annotation at said at least one depth in a three-dimensional image; generating an annotated stereoscopic image that comprises left and right eye views that differ from each other having said annotation at said at least one depth that differs from a depth of said region; and, generating an output stereoscopic image with said region at said same depth as said at least one depth of said annotation. 7. The method of claim 1 wherein said obtaining said at least one depth comprises asserting voice recognition software. | 0.895062 |
7,542,971 | 31 | 38 | 31. The system of claim 26 , wherein the presentation information source is based on at least one of: audio, visual, tactile information. | 31. The system of claim 26 , wherein the presentation information source is based on at least one of: audio, visual, tactile information. 38. The system of claim 31 , wherein the tactile information is displayed using a dynamically refreshable tactile display. | 0.9587 |
9,679,554 | 9 | 13 | 9. A computing system, comprising: at least one processor; memory including instructions that, when executed cause the at least one processor to: receive text data; determine a first text segment of the text data, the first text segment including a first number of different phonetic units; determine a second text segment of the text data, the second text segment including a second number of different phonetic units; determine the first number is greater than the second number; send, based on the first number being greater than the second number, the first text segment to a first proofreader through a communications interface; receive feedback on the first text segment through the communications interface; add, based on the feedback, the first text segment to a text-to-speech (TTS) corpus, the TTS corpus comprising approved text segments; determine a third number of different phonetic units of the TTS corpus comprising the first text segment; determine the third number is less than a desired number of different phonetic units of the TTS corpus; and send, based on the third number being less than the desired number, the second text segment to a second proofreader through the communications interface. | 9. A computing system, comprising: at least one processor; memory including instructions that, when executed cause the at least one processor to: receive text data; determine a first text segment of the text data, the first text segment including a first number of different phonetic units; determine a second text segment of the text data, the second text segment including a second number of different phonetic units; determine the first number is greater than the second number; send, based on the first number being greater than the second number, the first text segment to a first proofreader through a communications interface; receive feedback on the first text segment through the communications interface; add, based on the feedback, the first text segment to a text-to-speech (TTS) corpus, the TTS corpus comprising approved text segments; determine a third number of different phonetic units of the TTS corpus comprising the first text segment; determine the third number is less than a desired number of different phonetic units of the TTS corpus; and send, based on the third number being less than the desired number, the second text segment to a second proofreader through the communications interface. 13. The computing system of claim 9 , wherein the feedback comprises a correction to the first text segment. | 0.884615 |
9,117,455 | 13 | 16 | 13. A system for adjusting a voice intelligibility enhancement, the system comprising: a linear predictive coding analysis module configured to apply a linear predictive coding (LPC) technique to obtain LPC coefficients that correspond to a spectrum of an input voice signal, the spectrum comprising one or more formant frequencies; a mapping module configured to map the LPC coefficients to line spectral pairs; a formant enhancement module configured to modify the line spectral pairs with one or more processors by at least applying a modulation factor to the line spectral pairs to decrease a distance between the line spectral pairs and thereby produce an enhancement filter configured to emphasize the formant frequency; an inverse filter configured to be applied to the input audio signal to obtain an excitation signal; the enhancement filter configured to be applied to the excitation signal to produce a first modified voice signal, the enhancement filter further configured to be applied to the input voice signal to produce a second modified voice signal; a combiner configured to combine at least a portion of the first modified voice signal with at least a portion of the second modified voice signal to produce a combined modified voice signal; and an output module configured to output an audio signal based on the combined modified voice signal for playback. | 13. A system for adjusting a voice intelligibility enhancement, the system comprising: a linear predictive coding analysis module configured to apply a linear predictive coding (LPC) technique to obtain LPC coefficients that correspond to a spectrum of an input voice signal, the spectrum comprising one or more formant frequencies; a mapping module configured to map the LPC coefficients to line spectral pairs; a formant enhancement module configured to modify the line spectral pairs with one or more processors by at least applying a modulation factor to the line spectral pairs to decrease a distance between the line spectral pairs and thereby produce an enhancement filter configured to emphasize the formant frequency; an inverse filter configured to be applied to the input audio signal to obtain an excitation signal; the enhancement filter configured to be applied to the excitation signal to produce a first modified voice signal, the enhancement filter further configured to be applied to the input voice signal to produce a second modified voice signal; a combiner configured to combine at least a portion of the first modified voice signal with at least a portion of the second modified voice signal to produce a combined modified voice signal; and an output module configured to output an audio signal based on the combined modified voice signal for playback. 16. The system of claim 13 , wherein the enhancement filter is further configured to be applied to one or more of the following: the input voice signal and the excitation signal derived from the input voice signal. | 0.84195 |
9,052,854 | 3 | 4 | 3. The system of claim 1 , wherein the splitter is configured to interpret the determined objects based on a deferred evaluation scheme, wherein the interpretation of the determined objects is deferred until the interpretation of the determined objects is actually needed to process the chunks having such objects. | 3. The system of claim 1 , wherein the splitter is configured to interpret the determined objects based on a deferred evaluation scheme, wherein the interpretation of the determined objects is deferred until the interpretation of the determined objects is actually needed to process the chunks having such objects. 4. The system of claim 3 , wherein the deferred evaluation scheme is applied to encoded strings, wherein the splitter is configured to defer interpretation of the encoded strings until the interpretation is actually needed to process the chunks. | 0.942108 |
10,165,149 | 1 | 9 | 1. A system comprising a scanning device, wherein the scanning device comprises: an input device; a display device; a data store in communication with the electronic device; and a computer-readable storage medium comprising one or more programming instructions that, when executed, cause the scanning device to: receive a physical document that is to be converted into an electronic document, perform optical character recognition on at least a portion of the physical document to identify one or more terms that are present in the physical document, store the identified terms in the data store associated with the scanning device, receive, from the input device, input from a user, wherein the input comprises one or more first characters and corresponds to a title of the electronic document, identify one or more terms from the data store that correspond to the one or more first characters by querying the data store using the received input, and cause the identified terms to be displayed to the user via a display device of the scanning device as suggested document names for the electronic document. | 1. A system comprising a scanning device, wherein the scanning device comprises: an input device; a display device; a data store in communication with the electronic device; and a computer-readable storage medium comprising one or more programming instructions that, when executed, cause the scanning device to: receive a physical document that is to be converted into an electronic document, perform optical character recognition on at least a portion of the physical document to identify one or more terms that are present in the physical document, store the identified terms in the data store associated with the scanning device, receive, from the input device, input from a user, wherein the input comprises one or more first characters and corresponds to a title of the electronic document, identify one or more terms from the data store that correspond to the one or more first characters by querying the data store using the received input, and cause the identified terms to be displayed to the user via a display device of the scanning device as suggested document names for the electronic document. 9. The system of claim 1 , wherein the computer-readable storage medium further comprises one or more programming instructions that, when executed, cause the scanning device to: receive one or more second characters; identify one or more updated terms by querying the data store, wherein the updated term comprises the one or more first characters and the one or more second characters; and cause the updated terms to be displayed to the user via the display device as updated suggested document names for the electronic document, wherein the updated suggested document names replace the suggested document names. | 0.522586 |
4,754,485 | 3 | 4 | 3. The system as defined in claim 1, wherein said second predetermined number is greater than said first predetermined number by at least a factor of 2. | 3. The system as defined in claim 1, wherein said second predetermined number is greater than said first predetermined number by at least a factor of 2. 4. The system as defined in claim 3, wherein said first predetermined number equals about 10,000 samples per second and said second predetermined number equals at least 20,000 samples per second. | 0.942512 |
9,203,623 | 10 | 11 | 10. A method for matching a list of keywords against a target document, the method being performed using a computer including at least a processor, data storage, and computer-readable instructions, and the method comprising: a computer-implemented keyword searcher receiving a textual string corresponding to a target document file; the keyword searcher receiving a list of keywords; the keyword searcher searching the string for instances of the keywords so as to generate a sequence of keyword instances; a computer-implemented keyword object generator receiving the sequence of keyword instances; and the keyword object generator generating a keyword object, wherein the keyword object includes a range-dependent match function. | 10. A method for matching a list of keywords against a target document, the method being performed using a computer including at least a processor, data storage, and computer-readable instructions, and the method comprising: a computer-implemented keyword searcher receiving a textual string corresponding to a target document file; the keyword searcher receiving a list of keywords; the keyword searcher searching the string for instances of the keywords so as to generate a sequence of keyword instances; a computer-implemented keyword object generator receiving the sequence of keyword instances; and the keyword object generator generating a keyword object, wherein the keyword object includes a range-dependent match function. 11. The method of claim 10 , wherein the keyword object further includes a first attribute comprising a list of keywords and a second attribute comprising the sequence of keyword instances. | 0.635135 |
7,689,587 | 1 | 10 | 1. A method of generating a repository template of a repository of data for a storage area network management tool, the repository defined to hold data describing storage area network elements and configurations, the method comprising: updating a configuration file to include current configuration data for a first repository, wherein the configuration file includes specifications for a set of schemas defining at least one repository structure; using configuration data from the configuration file to access the first repository currently stored on a host; removing any schemas and data currently stored by the first repository; creating a set of new schemas for the first repository according to the specifications from the configuration file; copying seed data to the host, wherein the seed data defines initial repository information; initializing the set of new schemas with the seed data; upon initializing the set of new schemas, generating a repository template from the set of new schemas and the seed data, the repository template defined for creating one or more repositories to hold storage area network data; creating a second repository from the repository template, wherein the second repository includes the seed data and the set of new schemas; establishing a test environment based on the repository template; wherein establishing the test environment includes: (i) exporting each schema in the set of new schemas into the test environment; (ii) replacing the seed data in each exported schema with data from at least one live storage area network (SAN); (iii) upon determining that each exported new schema properly handles data from the live SAN, indicating, in the test environment, that the second repository is acceptable; loading a prior version of the repository onto the host; comparing the schemas of the prior version of the repository with the schemas of the second repository to determine any differences; and creating at least one script that, when executed on a repository based on the prior version of the repository, will upgrade schemas according to the set of new schemas in the second repository; via the test environment, receiving a correction of at least one schema in the set of new schemas, wherein receiving the correction includes: upon determining that at least one exported schema does not properly handle the data from the live SAN: resolving at least one incompatibility between at least one portion of data from the live SAN and an exported new schema. | 1. A method of generating a repository template of a repository of data for a storage area network management tool, the repository defined to hold data describing storage area network elements and configurations, the method comprising: updating a configuration file to include current configuration data for a first repository, wherein the configuration file includes specifications for a set of schemas defining at least one repository structure; using configuration data from the configuration file to access the first repository currently stored on a host; removing any schemas and data currently stored by the first repository; creating a set of new schemas for the first repository according to the specifications from the configuration file; copying seed data to the host, wherein the seed data defines initial repository information; initializing the set of new schemas with the seed data; upon initializing the set of new schemas, generating a repository template from the set of new schemas and the seed data, the repository template defined for creating one or more repositories to hold storage area network data; creating a second repository from the repository template, wherein the second repository includes the seed data and the set of new schemas; establishing a test environment based on the repository template; wherein establishing the test environment includes: (i) exporting each schema in the set of new schemas into the test environment; (ii) replacing the seed data in each exported schema with data from at least one live storage area network (SAN); (iii) upon determining that each exported new schema properly handles data from the live SAN, indicating, in the test environment, that the second repository is acceptable; loading a prior version of the repository onto the host; comparing the schemas of the prior version of the repository with the schemas of the second repository to determine any differences; and creating at least one script that, when executed on a repository based on the prior version of the repository, will upgrade schemas according to the set of new schemas in the second repository; via the test environment, receiving a correction of at least one schema in the set of new schemas, wherein receiving the correction includes: upon determining that at least one exported schema does not properly handle the data from the live SAN: resolving at least one incompatibility between at least one portion of data from the live SAN and an exported new schema. 10. The method as in claim 1 , wherein updating the configuration file to include current configuration data for the repository includes: creating the specifications for the configuration file, the specifications for at least one first new schema, the first new schema describing a reorganization of data currently in the first repository, wherein the data currently in the first repository relates to respective storage area network components, wherein the first new schema further includes at least one definition of a storage space not included in the first repository. | 0.722868 |
9,710,545 | 9 | 10 | 9. A system for providing a contextual based search, comprising: a context search engine communicatively coupled to a natural language processor module and at least one content browser, wherein the context search engine is configured to provide a user selected search term to the natural language processor, and provide keyword results received from the natural language processor to the content browser; wherein the keyword results are provided to the user as one or more of videos, images, or graphics based on a first historical preference of the user, and as a textual reference based on a second historical preference of the user, and wherein topics of interest to the user are to be determined based on historical use of multiple forms of media by the user over a predetermined period of time, and the topics of interest are to be used to prioritize the keyword results. | 9. A system for providing a contextual based search, comprising: a context search engine communicatively coupled to a natural language processor module and at least one content browser, wherein the context search engine is configured to provide a user selected search term to the natural language processor, and provide keyword results received from the natural language processor to the content browser; wherein the keyword results are provided to the user as one or more of videos, images, or graphics based on a first historical preference of the user, and as a textual reference based on a second historical preference of the user, and wherein topics of interest to the user are to be determined based on historical use of multiple forms of media by the user over a predetermined period of time, and the topics of interest are to be used to prioritize the keyword results. 10. The system as recited in claim 9 , wherein the selected search term is to be selected from closed captioning text of one of a television program, broadcast program, streaming media and recorded media. | 0.835749 |
9,355,075 | 38 | 39 | 38. The system of claim 1 , wherein said rules packet election indication receiving module configured to receive the indication of the election of the rules packet elected from a plurality of rules packets comprises: a rules packet election indication receiving module configured to receive the indication of the election of the rules packet elected from a plurality of rules packets that include at least a first rules packet associated with at least a first communication channel and a second rules packet associated with at least a second communication channel, the first communication channel being a different communication channel than the second communication channel. | 38. The system of claim 1 , wherein said rules packet election indication receiving module configured to receive the indication of the election of the rules packet elected from a plurality of rules packets comprises: a rules packet election indication receiving module configured to receive the indication of the election of the rules packet elected from a plurality of rules packets that include at least a first rules packet associated with at least a first communication channel and a second rules packet associated with at least a second communication channel, the first communication channel being a different communication channel than the second communication channel. 39. The system of claim 38 , wherein said a rules packet election indication receiving module configured to receive the indication of the election of the rules packet elected from a plurality of rules packets that include at least a first rules packet associated with at least a first communication channel and a second rules packet associated with at least a second communication channel, the first communication channel being a different communication channel than the second communication channel comprises: a rules packet election indication receiving module configured to receive the indication of the election of the rules packet elected from a plurality of rules packets that include at least a first rules packet associated with at least a first type of communication channel that is at least one of a social networking website, an email account, or an internal corporate channel and a second rules packet associated with at least a second type of communication channel that is at least one of a social networking website, an email account, or an internal corporate channel, the first type of communication channel being a different type of communication channel than the second type of communication channel. | 0.721638 |
10,086,638 | 28 | 29 | 28. The method of claim 21 , wherein: the one or more features are visible upon transmission of a radiation wave through the one or more features; and the one or more features are not visible without transmission of a radiation wave through the one or more features. | 28. The method of claim 21 , wherein: the one or more features are visible upon transmission of a radiation wave through the one or more features; and the one or more features are not visible without transmission of a radiation wave through the one or more features. 29. The method of claim 28 , wherein the radiation wave is a light wave transmitted from a light source. | 0.954145 |
7,596,574 | 24 | 26 | 24. The method of claim 23 wherein the facet analysis component is configured to receive input information and discover the facets, facet attributes, and facet attribute hierarchies of the input information, said input information comprising at least one of information of the domain to be classified and said dimensional concept taxonomy information. | 24. The method of claim 23 wherein the facet analysis component is configured to receive input information and discover the facets, facet attributes, and facet attribute hierarchies of the input information, said input information comprising at least one of information of the domain to be classified and said dimensional concept taxonomy information. 26. The method of claim 24 wherein the facet analysis component is configured to define the facets, facet attributes, and facet attribute hierarchies using pattern augmentation and statistical analyses to identify patterns of facet attribute relationships in the input information, wherein said facet attribute relationships are determined from facet attributes in related concept definitions and concept relationships in the input information and in accordance with a prevalence of the facet attribute relationships derived from the input information. | 0.792793 |
7,818,663 | 1 | 9 | 1. An editable information management method comprising: storing editable information as a master file and a plurality of segment files, each segment file being editable independently of other segment files; combining said master file and said segment files in a manner specified by said master file to create said editable information; displaying said editable information for editing using an application program, said application program comprising an add in configured to combine said segment objects; receiving edit instructions to edit part of the displayed editable information corresponding to a predetermined segment file; and updating said predetermined segment file in response to said editing. | 1. An editable information management method comprising: storing editable information as a master file and a plurality of segment files, each segment file being editable independently of other segment files; combining said master file and said segment files in a manner specified by said master file to create said editable information; displaying said editable information for editing using an application program, said application program comprising an add in configured to combine said segment objects; receiving edit instructions to edit part of the displayed editable information corresponding to a predetermined segment file; and updating said predetermined segment file in response to said editing. 9. A method according to claim 1 , wherein said master file is a document file. | 0.90684 |
8,255,286 | 2 | 3 | 2. The method of claim 1 , wherein: a user submission among the plurality of user submissions includes an associated start time; and the publishing of the plurality of user submissions includes publishing the user submission according to the associated start time of the user submission. | 2. The method of claim 1 , wherein: a user submission among the plurality of user submissions includes an associated start time; and the publishing of the plurality of user submissions includes publishing the user submission according to the associated start time of the user submission. 3. The method of claim 2 further comprising: scheduling, at the network-based facility, publication of the user submission according to the associated start time of the user submission. | 0.899457 |
7,644,286 | 10 | 11 | 10. The method of claim 9 , further comprising: replacing said first set of get tokens and said second set of get tokens with said merged set of get tokens. | 10. The method of claim 9 , further comprising: replacing said first set of get tokens and said second set of get tokens with said merged set of get tokens. 11. The method of claim 10 , further comprising: merging a first set of send tokens maintained for the first requester and a second set of send tokens maintained for the second requestor. | 0.947969 |
8,121,904 | 8 | 9 | 8. The computer system of claim 1 , wherein the report database stores a plurality of page layouts. | 8. The computer system of claim 1 , wherein the report database stores a plurality of page layouts. 9. The computer system of claim 8 , wherein at least one of the page layouts is configured to display a product picture of a product selected by the user, an environment picture of an environment selected by the user, and a text portion, wherein the text portion is associated with at least one of the product and the environment. | 0.922207 |
7,689,938 | 15 | 24 | 15. A method for displaying usage history of a calculator, the calculator having a user interface, the method comprising: receiving a first mathematical expression in an expression entry area on the calculator: displaying a result in a first window on the calculator, wherein the result displayed in the first window comprises a result for the first mathematical expression; displaying, in a second window on the calculator, a usage history comprising the first mathematical expression, a second mathematical expression, and results, wherein the results displayed in the second window comprise the result for the first mathematical expression and a result for the second mathematical expression, wherein the usage history is displayed in a hierarchical tree such that a result for a given mathematical expression is displayed on a different hierarchical level than the given mathematical expression; and displaying organizational tabs for the second window, wherein each organizational tab is operable to display a given category of data associated with the usage history, wherein the hierarchical tree is expandable and collapsible, and wherein the hierarchical tree can be expanded and collapsed while the result is displayed in the first window. | 15. A method for displaying usage history of a calculator, the calculator having a user interface, the method comprising: receiving a first mathematical expression in an expression entry area on the calculator: displaying a result in a first window on the calculator, wherein the result displayed in the first window comprises a result for the first mathematical expression; displaying, in a second window on the calculator, a usage history comprising the first mathematical expression, a second mathematical expression, and results, wherein the results displayed in the second window comprise the result for the first mathematical expression and a result for the second mathematical expression, wherein the usage history is displayed in a hierarchical tree such that a result for a given mathematical expression is displayed on a different hierarchical level than the given mathematical expression; and displaying organizational tabs for the second window, wherein each organizational tab is operable to display a given category of data associated with the usage history, wherein the hierarchical tree is expandable and collapsible, and wherein the hierarchical tree can be expanded and collapsed while the result is displayed in the first window. 24. The method of claim 15 wherein at least one of the results displayed in the second window comprises a waveform and at least one of the first and second mathematical expressions comprises an expression represented by the waveform. | 0.756785 |
10,108,767 | 8 | 10 | 8. The computer implemented method of claim 1 , determining whether the deadlock candidate is the real deadlock comprising: identifying information pertinent to the deadlock candidate; and initiating a second formal search from a candidate state corresponding to the deadlock candidate. | 8. The computer implemented method of claim 1 , determining whether the deadlock candidate is the real deadlock comprising: identifying information pertinent to the deadlock candidate; and initiating a second formal search from a candidate state corresponding to the deadlock candidate. 10. The computer implemented method of claim 8 , determining whether the deadlock candidate is the real deadlock comprising: sweeping at least a pertinent portion of the state space of the electronic design from the candidate state using the formal verification techniques; and determining one or more clock cycle-based sets of stimuli for the electronic design for one or more clock cycles. | 0.886469 |
8,214,349 | 31 | 42 | 31. A computer implemented method for processing database content, the method comprising the steps of: receiving one or more data objects associated with a database at one or more remote computers; parsing one or more source documents to identify at least one term based on one or more predetermined rules; identifying content for the at least one term; linking the content with the at least one term; and automatically associating the at least one term in the one or more source documents with at least one link; wherein the at least one link denotes an association between the at least one term and the linked content; wherein the one or more data objects associated with the database provide a representation of at least a portion of the database at the one or more remote computers; and wherein the linked content is displayed on a user interface based upon a user interaction with at least a portion of the one or more source documents. | 31. A computer implemented method for processing database content, the method comprising the steps of: receiving one or more data objects associated with a database at one or more remote computers; parsing one or more source documents to identify at least one term based on one or more predetermined rules; identifying content for the at least one term; linking the content with the at least one term; and automatically associating the at least one term in the one or more source documents with at least one link; wherein the at least one link denotes an association between the at least one term and the linked content; wherein the one or more data objects associated with the database provide a representation of at least a portion of the database at the one or more remote computers; and wherein the linked content is displayed on a user interface based upon a user interaction with at least a portion of the one or more source documents. 42. The method of claim 31 , wherein one or more of the predetermined rules are based on availability of content for a term. | 0.566434 |
8,504,365 | 6 | 10 | 6. A system comprising: a processor; a computer-readable storage medium having instructions stored for controlling the processor to perform operations comprising: receiving a plurality of stored speech samples of a same word for verifying a user; comparing each of the plurality of stored speech samples to each other, to yield a variance over time; receiving speech from the user, distinct from the plurality of stored speech samples, to be verified; receiving a parameter that identifies a certainty level associated with the variance, from a plurality of certainty levels, to be applied when verifying the speech as authentic; based on the certainty level, verifying the speech as authentic, to yield a verification; and transmitting access data based on the verification. | 6. A system comprising: a processor; a computer-readable storage medium having instructions stored for controlling the processor to perform operations comprising: receiving a plurality of stored speech samples of a same word for verifying a user; comparing each of the plurality of stored speech samples to each other, to yield a variance over time; receiving speech from the user, distinct from the plurality of stored speech samples, to be verified; receiving a parameter that identifies a certainty level associated with the variance, from a plurality of certainty levels, to be applied when verifying the speech as authentic; based on the certainty level, verifying the speech as authentic, to yield a verification; and transmitting access data based on the verification. 10. The system of claim 6 , wherein each certainty level of the plurality of certainty levels is associated with a different user. | 0.545455 |
8,326,033 | 40 | 47 | 40. A computer-readable memory medium on which is stored computer-executable process steps for causing a computer to build a color transformation workflow for transforming source-side color image data into corresponding destination-side color image data; the computer-readable memory medium further storing a module library, a profile library, and a rule library, wherein the module library includes plural module entries each corresponding to a respective function module which implements color processing functionality, wherein each module entry comprises at least a module locator specifying a location for the function module, wherein for at least some of the module entries of the module library, the module entry further comprises a profile interface definition which specifies an interface for supply of parameters which characterize the function module, wherein the profile library includes plural profile entries each corresponding to a respective source of parameters that characterize a function module, wherein each profile entry comprises at least a profile locator specifying a location for the source of parameters, and a profile interface definition which specifies an interface for supply of the parameters to the function module characterized thereby, wherein the rule library includes entries for plural external rules and entries for plural internal rules, wherein each such external rule is associated with function modules located by module entries in the module library, and wherein the external rules and the internal rules characterize color transformation workflows of the color management module, and wherein the process steps comprise: receiving factual input including factual input derived from the source-side color image data; determining a sequence of function modules and sources of parameters from the module library and profile library, respectively, by using the factual input from the interface and the plural internal and external rules in the rule library; and building the color transformation workflow from the determined sequence of function modules and sources of parameters. | 40. A computer-readable memory medium on which is stored computer-executable process steps for causing a computer to build a color transformation workflow for transforming source-side color image data into corresponding destination-side color image data; the computer-readable memory medium further storing a module library, a profile library, and a rule library, wherein the module library includes plural module entries each corresponding to a respective function module which implements color processing functionality, wherein each module entry comprises at least a module locator specifying a location for the function module, wherein for at least some of the module entries of the module library, the module entry further comprises a profile interface definition which specifies an interface for supply of parameters which characterize the function module, wherein the profile library includes plural profile entries each corresponding to a respective source of parameters that characterize a function module, wherein each profile entry comprises at least a profile locator specifying a location for the source of parameters, and a profile interface definition which specifies an interface for supply of the parameters to the function module characterized thereby, wherein the rule library includes entries for plural external rules and entries for plural internal rules, wherein each such external rule is associated with function modules located by module entries in the module library, and wherein the external rules and the internal rules characterize color transformation workflows of the color management module, and wherein the process steps comprise: receiving factual input including factual input derived from the source-side color image data; determining a sequence of function modules and sources of parameters from the module library and profile library, respectively, by using the factual input from the interface and the plural internal and external rules in the rule library; and building the color transformation workflow from the determined sequence of function modules and sources of parameters. 47. A computer-readable memory medium according to claim 40 , wherein the factual input received at the interface includes at least one of color data, environmental information, geographical information, and a desired output. | 0.842437 |
9,652,553 | 1 | 4 | 1. A method for displaying a web page, comprising: pre-processing text information to be picture processed in a web page, wherein the pre-processing of the text information comprises: setting up display frames, the display frames relating to display positions of the text information; splitting the text information into text blocks based on the display frames; grouping the text blocks based on a threshold and a height of at least one text block, combining dimensions of the at least one text block with groups of corresponding text blocks to set up a concatenation of all the text blocks, the dimensions being calculated based on a text style in the at least one text block; and allocating dimensions for a picture that accommodates the text blocks based on the concatenation; creating the picture; generating a plurality of position descriptions for corresponding text blocks in the picture; filling the corresponding text blocks into the picture based on the position descriptions of the text blocks; saving the filled picture; correspondingly saving a call address of the picture and the position description of each text block in the picture as metadata for the web page; and in the event that an access request for the web page is received: invoking the metadata for the web page; loading the picture based on the call address in the metadata for the web page; selecting at least one corresponding text block from the picture based on at least one position description in the metadata for the web page; and displaying the at least one text block in at least one display position in the web page. | 1. A method for displaying a web page, comprising: pre-processing text information to be picture processed in a web page, wherein the pre-processing of the text information comprises: setting up display frames, the display frames relating to display positions of the text information; splitting the text information into text blocks based on the display frames; grouping the text blocks based on a threshold and a height of at least one text block, combining dimensions of the at least one text block with groups of corresponding text blocks to set up a concatenation of all the text blocks, the dimensions being calculated based on a text style in the at least one text block; and allocating dimensions for a picture that accommodates the text blocks based on the concatenation; creating the picture; generating a plurality of position descriptions for corresponding text blocks in the picture; filling the corresponding text blocks into the picture based on the position descriptions of the text blocks; saving the filled picture; correspondingly saving a call address of the picture and the position description of each text block in the picture as metadata for the web page; and in the event that an access request for the web page is received: invoking the metadata for the web page; loading the picture based on the call address in the metadata for the web page; selecting at least one corresponding text block from the picture based on at least one position description in the metadata for the web page; and displaying the at least one text block in at least one display position in the web page. 4. The method as described in claim 1 , wherein: the pre-processing of the text information further comprises: identifying a text block with a maximum height; and selecting a fraction of a height of the text block with the maximum height as the threshold. | 0.738193 |
9,974,506 | 12 | 14 | 12. A system for associating coronary angiography image annotations with SYNTAX score for assessment of coronary artery disease comprising: a memory having computer readable computer instructions; and a processor for executing the computer readable instructions, the instructions including: receiving and processing, by the processor, a plurality of angiogram videos from a coronary angiography study into a plurality of frames for each of the plurality of angiogram videos; extracting, by the processor, a key frame from the plurality of frames for each of the plurality of angiogram videos, wherein extracting the key frame for each of the plurality of angiogram videos comprises detecting, by the processor, a presence of a contrast agent in one or more frames of the plurality of frames of each given angiogram video, and using edge detection, edge curve following and pairing of curves on opposing sides of an artery to identify a representative frame of the given angiogram video having extended parallel curves; displaying to a user, by the processor via a browsing interface, each of the extracted key frames; in response to receiving a selection from the user of a key frame from the displayed key frames, displaying, by the processor via a video view interface, the angiogram video that is associated with the selected key frame; receiving, by the system, a lesion annotation from the user for a frame of the angiogram video; based on receiving the lesion annotation, displaying, by the system, a SYNTAX score questionnaire in the video viewer interface; based on receiving answers to the SYNTAX score questionnaire from the user, annotating, by the system, the frame of the angiogram video with the answers to the SYNTAX score questionnaire from the user; saving, by the system, the answers to the SYNTAX score questionnaire with the annotated frame in a database; computing and displaying a SYNTAX score for the lesion based on the answers to the SYNTAX score questionnaire; and generating a lesion report for a selected lesion that shows the answers of the SYNTAX score questionnaire for the selected lesion along with one or more frames illustrating the selected lesion. | 12. A system for associating coronary angiography image annotations with SYNTAX score for assessment of coronary artery disease comprising: a memory having computer readable computer instructions; and a processor for executing the computer readable instructions, the instructions including: receiving and processing, by the processor, a plurality of angiogram videos from a coronary angiography study into a plurality of frames for each of the plurality of angiogram videos; extracting, by the processor, a key frame from the plurality of frames for each of the plurality of angiogram videos, wherein extracting the key frame for each of the plurality of angiogram videos comprises detecting, by the processor, a presence of a contrast agent in one or more frames of the plurality of frames of each given angiogram video, and using edge detection, edge curve following and pairing of curves on opposing sides of an artery to identify a representative frame of the given angiogram video having extended parallel curves; displaying to a user, by the processor via a browsing interface, each of the extracted key frames; in response to receiving a selection from the user of a key frame from the displayed key frames, displaying, by the processor via a video view interface, the angiogram video that is associated with the selected key frame; receiving, by the system, a lesion annotation from the user for a frame of the angiogram video; based on receiving the lesion annotation, displaying, by the system, a SYNTAX score questionnaire in the video viewer interface; based on receiving answers to the SYNTAX score questionnaire from the user, annotating, by the system, the frame of the angiogram video with the answers to the SYNTAX score questionnaire from the user; saving, by the system, the answers to the SYNTAX score questionnaire with the annotated frame in a database; computing and displaying a SYNTAX score for the lesion based on the answers to the SYNTAX score questionnaire; and generating a lesion report for a selected lesion that shows the answers of the SYNTAX score questionnaire for the selected lesion along with one or more frames illustrating the selected lesion. 14. The system of claim 12 , further comprising computing and displaying a total SYNTAX score for the coronary angiography study based on the answers to the SYNTAX score questionnaire for all identified lesions in the coronary angiography study. | 0.502033 |
6,049,602 | 13 | 15 | 13. The method of claim 1 wherein said step of receiving telephone log-in information comprises the step of: receiving a telephone password from the station telephone; and comparing the telephone password to a list of authorized telephone passwords. | 13. The method of claim 1 wherein said step of receiving telephone log-in information comprises the step of: receiving a telephone password from the station telephone; and comparing the telephone password to a list of authorized telephone passwords. 15. The method of claim 13 wherein said step of receiving a telephone password comprises the step of receiving a telephone password as one or more spoken words or phrases. | 0.953958 |
8,164,762 | 1 | 5 | 1. A method for text driven document sizing for a plurality of differently-sized documents in a rendering device in a digital document system, comprising: automatically detecting document sizes for said plurality of differently-sized documents by pre-scanning all sides of said plurality of differently-sized documents to determine said minimum output document sizes needed to accommodate all sides of said plurality of differently-sized documents, wherein reproduced output document sizes of said plurality of differently-sized documents are larger sides of said plurality of differently-sized documents; automatically detecting minimum text sizes of text contained in said plurality of differently-sized documents; recording said minimum text sizes of said text contained in said plurality of differently-sized documents; detecting output document sizes available to said rendering device in response to automatically detecting said minimum text sizes of said text contained in said plurality of differently-sized documents and specifying a particular said minimum set text sizes; utilizing said detected said minimum text sizes and said particular minimum set text sizes to automatically determine image magnification ratios and document sizes required to achieve said particular minimum text sizes in rendered documents via said rendering device, wherein text sizes achieved in said rendered documents are as close as possible to said particular minimum set text sizes if said particular minimum set text sizes specified are unachievable; recalculating said magnification ratio to fill a largest loaded paper size; and automatically optimizing said plurality of differently-sized documents reproduction factors including at least one of original document size, image size, magnification ratios, and output document sizes. | 1. A method for text driven document sizing for a plurality of differently-sized documents in a rendering device in a digital document system, comprising: automatically detecting document sizes for said plurality of differently-sized documents by pre-scanning all sides of said plurality of differently-sized documents to determine said minimum output document sizes needed to accommodate all sides of said plurality of differently-sized documents, wherein reproduced output document sizes of said plurality of differently-sized documents are larger sides of said plurality of differently-sized documents; automatically detecting minimum text sizes of text contained in said plurality of differently-sized documents; recording said minimum text sizes of said text contained in said plurality of differently-sized documents; detecting output document sizes available to said rendering device in response to automatically detecting said minimum text sizes of said text contained in said plurality of differently-sized documents and specifying a particular said minimum set text sizes; utilizing said detected said minimum text sizes and said particular minimum set text sizes to automatically determine image magnification ratios and document sizes required to achieve said particular minimum text sizes in rendered documents via said rendering device, wherein text sizes achieved in said rendered documents are as close as possible to said particular minimum set text sizes if said particular minimum set text sizes specified are unachievable; recalculating said magnification ratio to fill a largest loaded paper size; and automatically optimizing said plurality of differently-sized documents reproduction factors including at least one of original document size, image size, magnification ratios, and output document sizes. 5. The method of claim 1 further comprising: collecting at least one user reproduction preference utilizing a user interface associated with said rendering device. | 0.862331 |
8,935,235 | 1 | 2 | 1. A computer-implemented method, comprising: on a search engine having one or more processors and memory storing programs to be executed by the search engine, the search engine remotely located from a client: monitoring a plurality of search engine queries received from a user of the client; logging the plurality of queries, wherein the logged queries are historical queries submitted by the user to the search engine; generating a content feed of logged queries, the content feed including the plurality of logged queries; and transmitting the content feed to the client for display in a client application associated with the user. | 1. A computer-implemented method, comprising: on a search engine having one or more processors and memory storing programs to be executed by the search engine, the search engine remotely located from a client: monitoring a plurality of search engine queries received from a user of the client; logging the plurality of queries, wherein the logged queries are historical queries submitted by the user to the search engine; generating a content feed of logged queries, the content feed including the plurality of logged queries; and transmitting the content feed to the client for display in a client application associated with the user. 2. The method of claim 1 , further comprising logging links, included in responses to the queries, that are selected by the user; and wherein generating the content feed comprises generating the content feed to include the logged queries and the logged links. | 0.591483 |
8,365,138 | 39 | 40 | 39. The process of claim 34 further comprising the step of displaying on a display of a computer diagrams and textual interactive dialogs which said a designer of said Conceptual Model can interact with to use object-oriented modelling techniques to define the classes of said Conceptual Model in an object model and to define a functional model, dynamic model and presentation model, all of said models being automatically converted by said computer to said Formal Specification written in the OASIS formal language, said object model including requirements data entered by said designer to define each class, and wherein said diagrams and textual interactive dialogs are structured to allow said designer to enter requirements data defining or selecting and defining the following elements of said Conceptual Model: a formula for a default value calculation of constant and variable attributes, services, event and transaction arguments, formulas that define local and global transactions, formulas to calculate specialization conditions for inheritance, derivation and valuation formulas including formulas to calculate the values of derived and variable attributes and formulas to calculate conditions, formulas to calculate static and dynamic constraints, formulas to calculate preconditions for actions carried out by events and transactions, formulas to calculate control conditions that control transitions between states in a State Transition Diagram, formulas to calculate conditions for triggers, display sets, filters, and population selection user interface patterns. | 39. The process of claim 34 further comprising the step of displaying on a display of a computer diagrams and textual interactive dialogs which said a designer of said Conceptual Model can interact with to use object-oriented modelling techniques to define the classes of said Conceptual Model in an object model and to define a functional model, dynamic model and presentation model, all of said models being automatically converted by said computer to said Formal Specification written in the OASIS formal language, said object model including requirements data entered by said designer to define each class, and wherein said diagrams and textual interactive dialogs are structured to allow said designer to enter requirements data defining or selecting and defining the following elements of said Conceptual Model: a formula for a default value calculation of constant and variable attributes, services, event and transaction arguments, formulas that define local and global transactions, formulas to calculate specialization conditions for inheritance, derivation and valuation formulas including formulas to calculate the values of derived and variable attributes and formulas to calculate conditions, formulas to calculate static and dynamic constraints, formulas to calculate preconditions for actions carried out by events and transactions, formulas to calculate control conditions that control transitions between states in a State Transition Diagram, formulas to calculate conditions for triggers, display sets, filters, and population selection user interface patterns. 40. The process of claim 39 further comprising the step of displaying on the display of a computer diagrams and textual interactive dialogs which said designer of said Conceptual Model can interact with to use object-oriented modelling techniques to define each class of said Conceptual Model, using a state transition diagram which defines the valid states of objects in said class and valid transitions between them, each transition defined in terms of a change in the attributes of an object in said class undergoing said transition, each transition defined in terms of an action which can cause the change in state of the object, each action defined as execution of a service by an agent, and wherein each action may have a precondition defined in the form of a formula that defines the precondition that needs to be satisfied before said action will be performed and a corresponding error message which will be displayed on a display of a computer executing said application computer program if said precondition does not hold, and wherein said diagrams and textual interactive dialogs are structured to allow said designer to specify a list of interfaces, each interface comprising a list of services that a user of said computer application program can execute and a list of attributes said user can see. | 0.924525 |
8,888,493 | 12 | 15 | 12. The method of claim 8 , wherein text cohesion is determined based upon factors from the group consisting of referential cohesion, causal cohesion, connective non-causal cohesion, and thematic continuity. | 12. The method of claim 8 , wherein text cohesion is determined based upon factors from the group consisting of referential cohesion, causal cohesion, connective non-causal cohesion, and thematic continuity. 15. The method of claim 12 , wherein text cohesion is measured by characterizing the prevalence of different types of sentence connectives from the group consisting of causal connectives, clarification conjuncts, conditional subordinators, concessive coordinators, and multi-function subordinators. | 0.909587 |
8,751,477 | 4 | 5 | 4. The host computer system of claim 2 , wherein the challenge result includes at least a challenge answer and the calculation of the challenge reference score includes calculating an answer vector that includes at least a frequency of terms in the challenge answer, wherein the answer vector is compared with the reference vector to calculate the reference score for the first engine. | 4. The host computer system of claim 2 , wherein the challenge result includes at least a challenge answer and the calculation of the challenge reference score includes calculating an answer vector that includes at least a frequency of terms in the challenge answer, wherein the answer vector is compared with the reference vector to calculate the reference score for the first engine. 5. The host computer system of claim 4 , the quality control system further comprising: a weight dictionary stored in a data store; a weight lookup module looking up a weight for each term in the weight dictionary; and a weight association module attaching the weight of each term in the answer vector. | 0.941016 |
7,856,472 | 156 | 157 | 156. The computer program product of claim 70 , wherein the computer program product is operable such that first preloaded information derived from the first message is preloaded and initially hidden, and later displayed in response to a first user interaction. | 156. The computer program product of claim 70 , wherein the computer program product is operable such that first preloaded information derived from the first message is preloaded and initially hidden, and later displayed in response to a first user interaction. 157. The computer program product of claim 156 , wherein the computer program product is operable such that the first message includes the first preloaded information. | 0.962421 |
7,934,660 | 1 | 2 | 1. A data collection system comprising: a hand held portable data collection terminal having a bar code reader device for decoding bar code symbols, a manual trigger for actuation of bar code decoding, and a radio transceiver; and a computer spaced apart from said hand held portable data collection terminal, said computer having a display, said hand held portable data collection terminal and said computer being configured as part of an IP network including both of said hand held portable data collection terminal and said computer; said computer being configured to display a graphical user interface prompting an operator of said data collection system to enter configuration data for reconfiguring said radio transceiver, said computer further being configured to process configuration data entered by said operator at said computer to build an extensible markup language document including entered data; wherein said data collection system is configured so that said extensible markup language document can be transferred from said computer to said hand held portable data collection terminal either by way of (i) encoding data of said extensible markup language and then decoding encoded data utilizing said bar code reader device of said hand held portable data collection terminal or (ii) transmitting data of said extensible markup language document from said computer to said portable data collection terminal utilizing a data communication protocol supported by said IP network. | 1. A data collection system comprising: a hand held portable data collection terminal having a bar code reader device for decoding bar code symbols, a manual trigger for actuation of bar code decoding, and a radio transceiver; and a computer spaced apart from said hand held portable data collection terminal, said computer having a display, said hand held portable data collection terminal and said computer being configured as part of an IP network including both of said hand held portable data collection terminal and said computer; said computer being configured to display a graphical user interface prompting an operator of said data collection system to enter configuration data for reconfiguring said radio transceiver, said computer further being configured to process configuration data entered by said operator at said computer to build an extensible markup language document including entered data; wherein said data collection system is configured so that said extensible markup language document can be transferred from said computer to said hand held portable data collection terminal either by way of (i) encoding data of said extensible markup language and then decoding encoded data utilizing said bar code reader device of said hand held portable data collection terminal or (ii) transmitting data of said extensible markup language document from said computer to said portable data collection terminal utilizing a data communication protocol supported by said IP network. 2. The data collection system of claim 1 , wherein said computer is further configured to build a data package including said extensible markup language document and file data corresponding to a file other than extensible markup language document. | 0.65884 |
8,291,386 | 6 | 9 | 6. A system for interactive debugging of a computer program, comprising: a debugging module employing a hardware processor for monitoring a computer program executing on one or more processors, the computer program including a class having class methods defining a semantic field of the class; the debugging module including a leveraging function that leverages said class methods by executing the class methods upon object-typed variables to obtain a pseudo-field value, wherein a pseudo-field name is derived from a name of a class method, the class method is executed by the hardware processor and a pseudo-field value associated with the derived pseudo-class name is obtained; and a user interface module that presents the pseudo-field value along with true fields of the said object-typed variables, on a user interface for debugging purposes. | 6. A system for interactive debugging of a computer program, comprising: a debugging module employing a hardware processor for monitoring a computer program executing on one or more processors, the computer program including a class having class methods defining a semantic field of the class; the debugging module including a leveraging function that leverages said class methods by executing the class methods upon object-typed variables to obtain a pseudo-field value, wherein a pseudo-field name is derived from a name of a class method, the class method is executed by the hardware processor and a pseudo-field value associated with the derived pseudo-class name is obtained; and a user interface module that presents the pseudo-field value along with true fields of the said object-typed variables, on a user interface for debugging purposes. 9. The system of claim 6 wherein the leveraging function applies matching and/or filtering rules to select a class method for leveraging. | 0.870755 |
10,157,070 | 7 | 8 | 7. A system comprising: at least one programmable processor; and a machine-readable medium storing instructions that, when executed by the at least one programmable processor, cause the at least one programmable processor to perform operations comprising: receiving at least one parameter relating to a document; generating at least one narrative based on the received parameter; generating at least one document mapping based on the at least one generated narrative; wherein the at least one document mapping includes: (i) a plurality of magnet component identifiers, (ii) a plurality of pivot component identifiers, and (iii) a plurality of glow component identifiers; displaying to a user the plurality of magnet component identifiers, the plurality of pivot component identifiers, and the plurality of glow component identifiers; receiving from the user a selected magnet component identifier from the plurality of magnet component identifiers; receiving from the user a selected pivot component identifier from the plurality of pivot component identifiers; receiving from the user a selected glow component identifier from the plurality of glow component identifiers; generating a user-selected map based on the selected magnet component identifier, the selected pivot component identifier, and the selected glow component identifier; and combining the user-selected map and the at least one generated narrative to generate the document. | 7. A system comprising: at least one programmable processor; and a machine-readable medium storing instructions that, when executed by the at least one programmable processor, cause the at least one programmable processor to perform operations comprising: receiving at least one parameter relating to a document; generating at least one narrative based on the received parameter; generating at least one document mapping based on the at least one generated narrative; wherein the at least one document mapping includes: (i) a plurality of magnet component identifiers, (ii) a plurality of pivot component identifiers, and (iii) a plurality of glow component identifiers; displaying to a user the plurality of magnet component identifiers, the plurality of pivot component identifiers, and the plurality of glow component identifiers; receiving from the user a selected magnet component identifier from the plurality of magnet component identifiers; receiving from the user a selected pivot component identifier from the plurality of pivot component identifiers; receiving from the user a selected glow component identifier from the plurality of glow component identifiers; generating a user-selected map based on the selected magnet component identifier, the selected pivot component identifier, and the selected glow component identifier; and combining the user-selected map and the at least one generated narrative to generate the document. 8. The system according to claim 7 , wherein the at least one parameter includes at least one of the following: a trait, a thought, an idea, a concept, a purpose, a substantive context of the document and any combination thereof. | 0.688859 |
9,792,527 | 8 | 9 | 8. The method of claim 2 , wherein the compared slide text content comprises a plurality of different text contents that comprise slide title text content and slide body text content; wherein the step of generating the text content confidence scores comprises generating a slide title text content confidence score, and a slide body text content confidence score; and wherein the generated similarity confidence scores for each of the respective ones of the plurality of slides are functions of weighted averages of the slide title text content confidence scores and the slide body text content confidence scores, wherein the slide title text content confidence scores are weighted differently from the slide body text content confidence scores. | 8. The method of claim 2 , wherein the compared slide text content comprises a plurality of different text contents that comprise slide title text content and slide body text content; wherein the step of generating the text content confidence scores comprises generating a slide title text content confidence score, and a slide body text content confidence score; and wherein the generated similarity confidence scores for each of the respective ones of the plurality of slides are functions of weighted averages of the slide title text content confidence scores and the slide body text content confidence scores, wherein the slide title text content confidence scores are weighted differently from the slide body text content confidence scores. 9. The method of claim 8 , wherein the plurality of different text contents comprises slide speakers notes text content; and wherein the step of generating the text content confidence scores comprises generating a slide speakers notes text content confidence score; and wherein the generated similarity confidence scores for each of the respective ones of the plurality of slides are functions of weighted averages of the slide speakers notes text content confidence scores, wherein the slide speakers notes text content confidence scores are weighted differently from the slide title text content confidence scores and the slide body text content confidence scores. | 0.87123 |
7,676,798 | 1 | 4 | 1. A computer readable storage medium having computer-executable instructions that, when executed, cause one or more processors to perform acts, the instructions comprising: receiving a string in an interactive environment, the string including a plurality of pipelined cmdlets, the plurality of pipelined cmdlets to share use of one or more common directive functions provided by an administrative tool framework, the one or more common directive functions are applicable to each of the cmdlets via attributions; identifying an attribution for each of the plurality of pipelined cmdlets within the string, each attribution to specify a constraint for an associated construct; identifying the associated construct of each attribution in the string; saving information that correlates each constraint with its associated construct as metadata that is associated with each construct; and executing the string in the interactive environment, wherein executing the string includes: executing a first cmdlet of the plurality of pipelined cmdlets by using metadata associated with a first construct to apply a first constraint to the first construct to produce output objects; providing the output objects to a second cmdlet of the plurality of pipelined cmdlets as input for a second construct by passing a reference of each of the output objects to the second cmdlet; and executing the second cmdlet by using metadata associated with the second construct to apply a second constraint to the second construct, wherein the one or more common directive functions used by each cmdlet is specified by a corresponding data structure that is instantiated into an object for the administrative tool framework. | 1. A computer readable storage medium having computer-executable instructions that, when executed, cause one or more processors to perform acts, the instructions comprising: receiving a string in an interactive environment, the string including a plurality of pipelined cmdlets, the plurality of pipelined cmdlets to share use of one or more common directive functions provided by an administrative tool framework, the one or more common directive functions are applicable to each of the cmdlets via attributions; identifying an attribution for each of the plurality of pipelined cmdlets within the string, each attribution to specify a constraint for an associated construct; identifying the associated construct of each attribution in the string; saving information that correlates each constraint with its associated construct as metadata that is associated with each construct; and executing the string in the interactive environment, wherein executing the string includes: executing a first cmdlet of the plurality of pipelined cmdlets by using metadata associated with a first construct to apply a first constraint to the first construct to produce output objects; providing the output objects to a second cmdlet of the plurality of pipelined cmdlets as input for a second construct by passing a reference of each of the output objects to the second cmdlet; and executing the second cmdlet by using metadata associated with the second construct to apply a second constraint to the second construct, wherein the one or more common directive functions used by each cmdlet is specified by a corresponding data structure that is instantiated into an object for the administrative tool framework. 4. The computer readable storage medium of claim 1 , wherein the string comprises a portion of a script. | 0.844776 |
8,977,979 | 1 | 10 | 1. A method for determining and displaying relationships in a social network, the method comprising the steps of: a computer identifying within content displayed to a user, one or more terms within displayed application window text areas of at least two different types of computer program applications; for each of the identified terms: the computer visually distinguishing the identified term in the displayed application window text areas; the computer transmitting the identified term to one or more servers executing a social networking application; the computer receiving from the one or more servers a list of people that correspond to the identified term; the computer directing a display device to display the list of people that correspond to the identified term; the computer directing a display device to display a mapping clipboard program graphical user interface; the computer receiving input from the user of an identification of a person from the list of people that correspond to the identified term; the computer receiving from the user a selection of a mapping clipboard from a plurality of mapping clipboards; the computer adding the identification of the person from the list of people to the mapping clipboard; and in response to user selection of one of the people in the list of people that correspond to the identified term, the computer directing the display device to display a graph that shows how the one person and other people identified in the list are connected to each other in the social networking application, wherein the connections represent a friend, relative, colleague, present co-worker, former co-worker, or classmate. | 1. A method for determining and displaying relationships in a social network, the method comprising the steps of: a computer identifying within content displayed to a user, one or more terms within displayed application window text areas of at least two different types of computer program applications; for each of the identified terms: the computer visually distinguishing the identified term in the displayed application window text areas; the computer transmitting the identified term to one or more servers executing a social networking application; the computer receiving from the one or more servers a list of people that correspond to the identified term; the computer directing a display device to display the list of people that correspond to the identified term; the computer directing a display device to display a mapping clipboard program graphical user interface; the computer receiving input from the user of an identification of a person from the list of people that correspond to the identified term; the computer receiving from the user a selection of a mapping clipboard from a plurality of mapping clipboards; the computer adding the identification of the person from the list of people to the mapping clipboard; and in response to user selection of one of the people in the list of people that correspond to the identified term, the computer directing the display device to display a graph that shows how the one person and other people identified in the list are connected to each other in the social networking application, wherein the connections represent a friend, relative, colleague, present co-worker, former co-worker, or classmate. 10. A computer system comprising one or more processors, one or more computer-readable memories, one or more computer-readable storage devices and program instructions which are stored on the one or more storage devices for execution by the one or more processors via the one or more memories and when executed by the one or more processors perform the method of claim 1 . | 0.73617 |
8,661,338 | 26 | 28 | 26. A method comprising: comparing one or more elements of at least a portion of an original document against the same types of elements in at least a portion each of a plurality of stored documents, wherein the portion of the original document is the portion that requires adjustment or re-layout; determining a particular stored document in the plurality of stored documents, with the portion which is the closest match to the portion of the original document based on the comparing; identifying a designated output device with one or more characteristics; obtaining one or more mutators from a list of stored mutators which were applied to mutate the portion of the determined particular stored document; and applying the obtained one or more mutators to the portion of the original document based on one or more characteristics of the designated output device and the applying further based on a stored priority order. | 26. A method comprising: comparing one or more elements of at least a portion of an original document against the same types of elements in at least a portion each of a plurality of stored documents, wherein the portion of the original document is the portion that requires adjustment or re-layout; determining a particular stored document in the plurality of stored documents, with the portion which is the closest match to the portion of the original document based on the comparing; identifying a designated output device with one or more characteristics; obtaining one or more mutators from a list of stored mutators which were applied to mutate the portion of the determined particular stored document; and applying the obtained one or more mutators to the portion of the original document based on one or more characteristics of the designated output device and the applying further based on a stored priority order. 28. The method as set forth in claim 26 further comprising selecting the portion of the original document for the comparing. | 0.953383 |
8,117,199 | 10 | 15 | 10. An apparatus for establishing a profile of an entity based on a plurality of products associated with the entity, comprising: at least one processor; a storage medium, coupled to the at least one processor, having stored thereon instructions that, when executed by the at least one processor, cause the at least one processor to: for each of the plurality of products: for each of a plurality of attributes associated with each of the plurality of products: determine based on at least one description of the product an attribute probability set for the attribute according to a probability that each of a plurality of attribute values corresponding to the attribute is representative of the product based on the product description, thereby providing a plurality of attribute value probability sets, the plurality of attribute value probability sets corresponding to the plurality of attributes associated with each product of the plurality of products; determine those attribute value probabilities across the plurality of attribute value probability sets that are comparable to each other to provide a plurality of comparable attribute value probabilities; determine attribute value probabilities that are representative of each of the plurality of comparable attribute value probabilities to provide representative attribute value probability sets; and provide the profile of the entity based on the representative attribute value probability sets. | 10. An apparatus for establishing a profile of an entity based on a plurality of products associated with the entity, comprising: at least one processor; a storage medium, coupled to the at least one processor, having stored thereon instructions that, when executed by the at least one processor, cause the at least one processor to: for each of the plurality of products: for each of a plurality of attributes associated with each of the plurality of products: determine based on at least one description of the product an attribute probability set for the attribute according to a probability that each of a plurality of attribute values corresponding to the attribute is representative of the product based on the product description, thereby providing a plurality of attribute value probability sets, the plurality of attribute value probability sets corresponding to the plurality of attributes associated with each product of the plurality of products; determine those attribute value probabilities across the plurality of attribute value probability sets that are comparable to each other to provide a plurality of comparable attribute value probabilities; determine attribute value probabilities that are representative of each of the plurality of comparable attribute value probabilities to provide representative attribute value probability sets; and provide the profile of the entity based on the representative attribute value probability sets. 15. The apparatus of claim 10 , wherein the storage medium further comprises instructions that, when executed by the at least one processor, cause the at least one processor to: identify the plurality of products based on product offerings of the entity. | 0.785473 |
9,104,756 | 1 | 6 | 1. A method for creating a HTML/CSS representation of a geometric symbol, the method comprising: a. processing a symbol definition from a file; b. creating a web browser specific shape CSS class for each geometric shape comprised in the symbol definition; c. generating the HTML/CSS representation comprising the one or more created web browser specific shape CSS classes; d. wherein the creating further comprises determining equal attributes for each of the shapes and merging the equal attributes into a generic attribute CSS class; and e. creating a web browser specific attribute CSS class from the generic attribute CSS class. | 1. A method for creating a HTML/CSS representation of a geometric symbol, the method comprising: a. processing a symbol definition from a file; b. creating a web browser specific shape CSS class for each geometric shape comprised in the symbol definition; c. generating the HTML/CSS representation comprising the one or more created web browser specific shape CSS classes; d. wherein the creating further comprises determining equal attributes for each of the shapes and merging the equal attributes into a generic attribute CSS class; and e. creating a web browser specific attribute CSS class from the generic attribute CSS class. 6. The method according to claim 1 , wherein the generating of the HTML/CSS representation comprises the generation of the HTML/CSS representations for a set of pre-defined web browsers and storing the set of HTML/CSS representations into a single file. | 0.72619 |
8,694,444 | 1 | 9 | 1. An apparatus comprising: an electronic data processing device configured to perform a multi-task machine learning method to generate a multi-task (MT) predictor for a set of N classification tasks where N is greater than or equal to two, the machine learning method including: learning a multi-task decision tree (MT-DT) including learning decision rules for nodes of the MT-DT that optimize an aggregate information gain (IG) that aggregates single-task IG values for tasks of the set of N classification tasks; and constructing the MT predictor based on one or more learned MT-DTs. | 1. An apparatus comprising: an electronic data processing device configured to perform a multi-task machine learning method to generate a multi-task (MT) predictor for a set of N classification tasks where N is greater than or equal to two, the machine learning method including: learning a multi-task decision tree (MT-DT) including learning decision rules for nodes of the MT-DT that optimize an aggregate information gain (IG) that aggregates single-task IG values for tasks of the set of N classification tasks; and constructing the MT predictor based on one or more learned MT-DTs. 9. The apparatus of claim 1 wherein the electronic data processing device is further configured to perform a multi-task inference method using the constructed MT predictor. | 0.724359 |
8,259,910 | 7 | 8 | 7. A transcription method according to claim 6 , further including storing the audio message in an audio file. | 7. A transcription method according to claim 6 , further including storing the audio message in an audio file. 8. A transcription method according to claim 7 , further including providing access to the audio file for the customer. | 0.949491 |
8,065,116 | 1 | 6 | 1. A method of proofing a design for an apparatus, the method being performed with a computer system having a processor and memory, the method comprising: receiving a CAD object of the apparatus; prompting for a type of casting process for the apparatus to be manufactured with; receiving a response specifying the type of casting process; determining a nominal dimension and a related tolerance from the CAD object; obtaining a first data value from the memory, the first obtained data value being based on the specified type of casting process; obtaining a second data value from the memory, the second obtained data value being based on the specified type of casting process; obtaining a function having a variable; determining a first threshold based on the function, the first obtained data value, and the nominal dimension, the first threshold corresponding to a commercial tolerance threshold; determining a second threshold based on the function, the second obtained data value, and the nominal dimension, the second threshold corresponding to a minimum tolerance threshold; comparing the tolerance with the threshold; comparing the tolerance with the second threshold; and tagging the CAD object based on the comparisons. | 1. A method of proofing a design for an apparatus, the method being performed with a computer system having a processor and memory, the method comprising: receiving a CAD object of the apparatus; prompting for a type of casting process for the apparatus to be manufactured with; receiving a response specifying the type of casting process; determining a nominal dimension and a related tolerance from the CAD object; obtaining a first data value from the memory, the first obtained data value being based on the specified type of casting process; obtaining a second data value from the memory, the second obtained data value being based on the specified type of casting process; obtaining a function having a variable; determining a first threshold based on the function, the first obtained data value, and the nominal dimension, the first threshold corresponding to a commercial tolerance threshold; determining a second threshold based on the function, the second obtained data value, and the nominal dimension, the second threshold corresponding to a minimum tolerance threshold; comparing the tolerance with the threshold; comparing the tolerance with the second threshold; and tagging the CAD object based on the comparisons. 6. The method of claim 1 , further comprising generating a replacement tolerance, and replacing the tolerance with the replacement tolerance. | 0.808943 |
9,372,674 | 1 | 3 | 1. On a computing device, a method for presenting a user interface, the method comprising: receiving a request to display a list of items, each item of the list of items comprising a plurality of parts each having an appearance defined by a corresponding portion of a full version template; for an item in the list of items, populating the full version template with data for each of the plurality of parts to render a full version of a representation of the item; generating via the full version template a preview placeholder template defining an appearance of a thin version of a list item representation comprising a subset of the plurality of parts, the preview placeholder template comprising a subset of items of the full version template tagged for inclusion in the preview placeholder template, the subset of items comprising fewer items than the full version template; storing the preview placeholder template; and in response to a later request for scrolling the list of items, retrieving the preview placeholder template from storage and populating the preview placeholder template with data for the subset of the plurality of parts to render a thin version of one or more items in the list of items initially during scrolling, and then at a later time replacing the thin version of the one or more items in the list of items with the full version of the one or more items in the list of items. | 1. On a computing device, a method for presenting a user interface, the method comprising: receiving a request to display a list of items, each item of the list of items comprising a plurality of parts each having an appearance defined by a corresponding portion of a full version template; for an item in the list of items, populating the full version template with data for each of the plurality of parts to render a full version of a representation of the item; generating via the full version template a preview placeholder template defining an appearance of a thin version of a list item representation comprising a subset of the plurality of parts, the preview placeholder template comprising a subset of items of the full version template tagged for inclusion in the preview placeholder template, the subset of items comprising fewer items than the full version template; storing the preview placeholder template; and in response to a later request for scrolling the list of items, retrieving the preview placeholder template from storage and populating the preview placeholder template with data for the subset of the plurality of parts to render a thin version of one or more items in the list of items initially during scrolling, and then at a later time replacing the thin version of the one or more items in the list of items with the full version of the one or more items in the list of items. 3. The method of claim 1 , further comprising rendering the full version of each of the one or more items in the list of items the item after rendering the thin version. | 0.864583 |
9,020,207 | 47 | 48 | 47. The computer-readable storage medium of claim 37 , wherein searching the sorted similarity scores included in the biometric data using the computed particular similarity score comprises searching the sorted similarity scores in a manner that leverages knowledge of how the similarity scores included in the biometric data are sorted. | 47. The computer-readable storage medium of claim 37 , wherein searching the sorted similarity scores included in the biometric data using the computed particular similarity score comprises searching the sorted similarity scores in a manner that leverages knowledge of how the similarity scores included in the biometric data are sorted. 48. The computer-readable storage medium of claim 47 , wherein searching the sorted similarity scores in a manner that leverages knowledge of how the similarity scores included in the biometric data are sorted comprises performing a binary search of the sorted similarity scores using the computed particular similarity score. | 0.94164 |
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