patent_num
int64 3.93M
10.2M
| claim_num1
int64 1
519
| claim_num2
int64 2
520
| sentence1
stringlengths 40
15.9k
| sentence2
stringlengths 88
20k
| label
float64 0.5
0.99
|
|---|---|---|---|---|---|
7,672,932 | 21 | 22 | 21. A computer-implemented method of providing speculative search results, comprising the steps of: receiving a search query from a client node, wherein said search query is not-yet-submitted; as characters are added or removed from said not-yet-submitted search query, determining whether said not-yet-submitted search query matches at least one phrase in a collection of pre-defined phrases; as long as said not-yet-submitted search query does not match at least one phrase in the collection of pre-defined phrases, then not determining a speculative search result; only when said not-yet-submitted search query matches at least one phrase in the collection of pre-defined phrases, then performing: determining a speculative search result for said not-yet-submitted search query prior to receiving an indication from said client node that said not-yet-submitted search query is completely formed, and providing said speculative search result to said client node, wherein said speculative search result identifies at least one item that satisfies said not-yet submitted search query; receiving input that indicates that said search query is submitted; and performing a search based on said submitted search query; wherein the steps are performed on one or more computing devices. | 21. A computer-implemented method of providing speculative search results, comprising the steps of: receiving a search query from a client node, wherein said search query is not-yet-submitted; as characters are added or removed from said not-yet-submitted search query, determining whether said not-yet-submitted search query matches at least one phrase in a collection of pre-defined phrases; as long as said not-yet-submitted search query does not match at least one phrase in the collection of pre-defined phrases, then not determining a speculative search result; only when said not-yet-submitted search query matches at least one phrase in the collection of pre-defined phrases, then performing: determining a speculative search result for said not-yet-submitted search query prior to receiving an indication from said client node that said not-yet-submitted search query is completely formed, and providing said speculative search result to said client node, wherein said speculative search result identifies at least one item that satisfies said not-yet submitted search query; receiving input that indicates that said search query is submitted; and performing a search based on said submitted search query; wherein the steps are performed on one or more computing devices. 22. A computer-readable storage medium storing one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform the method recited in claim 21 . | 0.5 |
9,852,205 | 16 | 19 | 16. A computer readable storage medium storing computer executable instructions configured for execution by one or more processors of a computer system to configure the one or more processors to: generate a graphical user interface including at least a representation of a plurality of dimensions of a multidimensional data set; receive, via the graphical user interface, a selection of at least two dimensions of the multidimensional data set; determine a plurality of data objects each corresponding to different combinations of values of the selected dimensions; generate a plurality of two-dimensional graphs that are spatially positioned in a single graphical user interface view, wherein: each of the two-dimensional graphs is generated based on data associated with a respective one of the plurality of data objects, each of the two-dimensional graphs comprises a respective x-axis and a respective y-axis, the x-axes of the two-dimensional graphs each have a first common scale and a first common interval, and the y-axes of the two-dimensional graphs each have a second common scale and a second common interval, and data represented in each respective two-dimensional graph is shown according to the first common scale and the first common interval of the x-axes and the second common scale and the second common interval of the y-axes; and update the graphical user interface to display the single graphical user interface view including the plurality of two-dimensional graphs, wherein: the plurality of two-dimensional graphs are displayed in a plurality of rows and columns, each combination of row and column corresponds to a different respective combination of values of the selected dimensions, and the plurality of two-dimensional graphs are spatially positioned in the single graphical user interface view in corresponding rows and columns to enable a user to directly compare data represented in the plurality of two-dimensional graphs to view differences in data across the selected dimensions. | 16. A computer readable storage medium storing computer executable instructions configured for execution by one or more processors of a computer system to configure the one or more processors to: generate a graphical user interface including at least a representation of a plurality of dimensions of a multidimensional data set; receive, via the graphical user interface, a selection of at least two dimensions of the multidimensional data set; determine a plurality of data objects each corresponding to different combinations of values of the selected dimensions; generate a plurality of two-dimensional graphs that are spatially positioned in a single graphical user interface view, wherein: each of the two-dimensional graphs is generated based on data associated with a respective one of the plurality of data objects, each of the two-dimensional graphs comprises a respective x-axis and a respective y-axis, the x-axes of the two-dimensional graphs each have a first common scale and a first common interval, and the y-axes of the two-dimensional graphs each have a second common scale and a second common interval, and data represented in each respective two-dimensional graph is shown according to the first common scale and the first common interval of the x-axes and the second common scale and the second common interval of the y-axes; and update the graphical user interface to display the single graphical user interface view including the plurality of two-dimensional graphs, wherein: the plurality of two-dimensional graphs are displayed in a plurality of rows and columns, each combination of row and column corresponds to a different respective combination of values of the selected dimensions, and the plurality of two-dimensional graphs are spatially positioned in the single graphical user interface view in corresponding rows and columns to enable a user to directly compare data represented in the plurality of two-dimensional graphs to view differences in data across the selected dimensions. 19. The computer readable storage medium of claim 16 , wherein the one or more processors are further configured to: update the graphical user interface to display a plurality of selectable layers, each of the selectable layers corresponding to different values of one of the selected dimensions, each of the selectable layers including the plurality of two-dimensional graphs generated based on the corresponding value of the one of the selected dimensions. | 0.690958 |
8,935,166 | 15 | 16 | 15. A system for providing a dictation interface comprising: a processor; and a memory component that is coupled to the processor, wherein the memory component stores a target application and a dictation application wherein a dictation application interface, associated with the dictation application, is sized and positioned to cover a predetermined portion of a text area of a target application interface, associated with the target application, to appear as if the dictation application interface is part of the target application interface such that, if the target application interface is moved, minimized, maximized, or resized, the dictation application interface will adjust to match the target application interface; and wherein said dictation application receives an audio dictation from a user; provides the audio dictation as a text in the dictation application interface; and in response, to receiving a user command to complete the dictation, automatically copies the text from the dictation application interface and inserts the text into the target application interface. | 15. A system for providing a dictation interface comprising: a processor; and a memory component that is coupled to the processor, wherein the memory component stores a target application and a dictation application wherein a dictation application interface, associated with the dictation application, is sized and positioned to cover a predetermined portion of a text area of a target application interface, associated with the target application, to appear as if the dictation application interface is part of the target application interface such that, if the target application interface is moved, minimized, maximized, or resized, the dictation application interface will adjust to match the target application interface; and wherein said dictation application receives an audio dictation from a user; provides the audio dictation as a text in the dictation application interface; and in response, to receiving a user command to complete the dictation, automatically copies the text from the dictation application interface and inserts the text into the target application interface. 16. A system as claimed in claim 15 wherein said dictation application interface is automatically sized and positioned to fully cover a text area of the target application interface. | 0.625514 |
7,593,917 | 11 | 12 | 11. A computer-readable medium having stored thereon data representing sequences of instructions that, when executed by a processor, cause the processor to perform operations comprising: generating one or more entries in a directory for an application to be executed by a processor, and storing the one or more entries in a set of one or more registers, the one or more entries including one or more attributes for the management of the application, the one or more entries including an entry containing an identity of a host that is running the application; receiving a request from a program object of a first client of a plurality of clients, the request asking to connect the program object of the first client to the start up and control framework to manage the application, the request being received at an interface of a startup and control framework, the plurality of clients including the first client running on a first computer platform and a second client running on a second computer platform, the second computer platform being different than the first computer platform, the interface being compatible with both the first client and the second client; and providing information to the requesting client regarding the application via the set of one or more registers, the information being based on the one or more entries in the directory, the information comprising information regarding one or more attributes of the application; and managing the application under control of the program object of the first client via the startup and control framework utilizing the information provided via the set of one or more registers. | 11. A computer-readable medium having stored thereon data representing sequences of instructions that, when executed by a processor, cause the processor to perform operations comprising: generating one or more entries in a directory for an application to be executed by a processor, and storing the one or more entries in a set of one or more registers, the one or more entries including one or more attributes for the management of the application, the one or more entries including an entry containing an identity of a host that is running the application; receiving a request from a program object of a first client of a plurality of clients, the request asking to connect the program object of the first client to the start up and control framework to manage the application, the request being received at an interface of a startup and control framework, the plurality of clients including the first client running on a first computer platform and a second client running on a second computer platform, the second computer platform being different than the first computer platform, the interface being compatible with both the first client and the second client; and providing information to the requesting client regarding the application via the set of one or more registers, the information being based on the one or more entries in the directory, the information comprising information regarding one or more attributes of the application; and managing the application under control of the program object of the first client via the startup and control framework utilizing the information provided via the set of one or more registers. 12. The medium of claim 11 , wherein the directory comprises an LDAP (Lightweight Directory Access Protocol) directory. | 0.816358 |
7,596,222 | 1 | 4 | 1. A method for protecting data for N users using N passphrases respectively known to the N users such that N is at least 2, comprising: encrypting data using a master key according to a first symmetric encryption algorithm, to provide encrypted data; deriving a key encryption key for each user from the passphrase known to each user; encrypting the master key using the key encryption key of each user according to a second symmetric encryption algorithm, to provide an encrypted master key for each user; deriving a verification key for each user from the passphrase known to each user, said verification key for each user differing from said key encryption key for each user; and posting the encrypted data along with an ancillary file for access by the user, said ancillary file comprising a user identifier specific to each user, the encrypted master key for each user, and the verification key for each user. | 1. A method for protecting data for N users using N passphrases respectively known to the N users such that N is at least 2, comprising: encrypting data using a master key according to a first symmetric encryption algorithm, to provide encrypted data; deriving a key encryption key for each user from the passphrase known to each user; encrypting the master key using the key encryption key of each user according to a second symmetric encryption algorithm, to provide an encrypted master key for each user; deriving a verification key for each user from the passphrase known to each user, said verification key for each user differing from said key encryption key for each user; and posting the encrypted data along with an ancillary file for access by the user, said ancillary file comprising a user identifier specific to each user, the encrypted master key for each user, and the verification key for each user. 4. The method of claim 1 , wherein the method further comprises: prior to said encrypting data and said encrypting the master key, randomly generating the master key. | 0.781579 |
9,208,218 | 25 | 28 | 25. An apparatus for evaluating or facilitating evaluating of a content item, comprising: a processor; a configurator to be operated by the processor to organize a plurality of other content items into a directed acyclic graph of sub-collections to facilitate searching the other content items through execution of a search expression to generate a search result containing selected ones of the other content items considered relevant to the content item, to facilitate the evaluation of the content item, wherein the content item is a selected one of a web page, a post to a social networking site, a post to a blog, a document, or an electronic message, having text divisible into sub-texts; and wherein the search expression was generated based on the content item to evaluate or facilitate evaluation of probable effect of publication of the content item, wherein the search expression includes a hierarchy of nested juxtaposition sub-expressions , wherein the nesting of nested juxtaposition sub-expressions corresponds with nesting of the sub-texts; and a search result analyzer to be operated by the processor to evaluate the content item to recommend publication or re-write at least a portion of the content item, based at least in part on the search result generated from searching the other content items through execution of the search expression having the hierarchy of nested juxtaposition sub-expressions. | 25. An apparatus for evaluating or facilitating evaluating of a content item, comprising: a processor; a configurator to be operated by the processor to organize a plurality of other content items into a directed acyclic graph of sub-collections to facilitate searching the other content items through execution of a search expression to generate a search result containing selected ones of the other content items considered relevant to the content item, to facilitate the evaluation of the content item, wherein the content item is a selected one of a web page, a post to a social networking site, a post to a blog, a document, or an electronic message, having text divisible into sub-texts; and wherein the search expression was generated based on the content item to evaluate or facilitate evaluation of probable effect of publication of the content item, wherein the search expression includes a hierarchy of nested juxtaposition sub-expressions , wherein the nesting of nested juxtaposition sub-expressions corresponds with nesting of the sub-texts; and a search result analyzer to be operated by the processor to evaluate the content item to recommend publication or re-write at least a portion of the content item, based at least in part on the search result generated from searching the other content items through execution of the search expression having the hierarchy of nested juxtaposition sub-expressions. 28. The apparatus of claim 25 , further comprising a search engine adapted to be operated by the processor to apply the search expression to the other content items, including establishment of relevance geometries for the other content items, and generation of search scores for the other content items for the search expression having the hierarchy of nested juxtaposition sub-expressions, based at least in part on the relevance geometries. | 0.5 |
9,690,806 | 1 | 6 | 1. A computer-implemented method for word recommendation, comprising: constructing a geographic-related language database of a geographic-related language by counting utilization frequencies of words in the geographic-related language, and collecting one or more geographic-related language words having a utilization frequency greater than a predetermined value; receiving, from a user device, a coded character string; collecting geographic information associated with the user device; determining a geographic-related language corresponding to the geographic information; and obtaining a geographic-related language candidate word corresponding to the coded character string based on the geographic-related language database of the geographic-related language. | 1. A computer-implemented method for word recommendation, comprising: constructing a geographic-related language database of a geographic-related language by counting utilization frequencies of words in the geographic-related language, and collecting one or more geographic-related language words having a utilization frequency greater than a predetermined value; receiving, from a user device, a coded character string; collecting geographic information associated with the user device; determining a geographic-related language corresponding to the geographic information; and obtaining a geographic-related language candidate word corresponding to the coded character string based on the geographic-related language database of the geographic-related language. 6. The computer-implemented method of claim 1 , further comprising: retrieving a corresponding common candidate word in a common database based on the coded character string; and presenting the geographic-related language candidate word when displaying the common candidate word. | 0.753097 |
9,368,126 | 21 | 22 | 21. A computer-implemented method for assessing speech prosody comprising: receiving, by a computing device, spoken speech, the spoken speech being converted into input speech data representing the spoken speech; processing, by the computing device, the input speech data to acquire an input language structure that corresponds to the input speech data and that represents part of speech role of words of the spoken speech; obtaining, from a corpus of standard speech data comprising at least one example of standard speech data having a matching language structure as at least a portion of the input speech data, a language structure of standard speech; obtaining traversing a decision tree that corresponds to the language structure of standard speech based on at least a portion of the input language structure to identify, for a word in the input language structure, an occurrence probability of phrase boundary location at the word and a silence duration of phrase boundary location at the word, wherein a leaf node of the decision tree identifies a determined occurrence probability of phrase boundary location for a part of speech and a determined average silence duration for the part of speech each based on a first adjacent part of speech to the left of the part of speech and a second adjacent part of speech to the right of the part of speech; acquiring a rhythm feature and a fluency feature of the input speech data, wherein the rhythm feature is acquired based, at least in part, on the occurrence probability of phrase boundary location for the word and wherein the fluency feature is acquired based, at least in part, on the silence duration of phrase boundary location for the word; acquiring, from the corpus of standard speech data, a standard rhythm feature and a standard fluency feature based on the decision tree; performing a first comparison of the rhythm feature to the standard rhythm feature; performing a second comparison of the fluency feature to the standard fluency feature; obtaining a prosody assessment result based on the first and second comparisons; and based on the prosody assessment result, either adding the input speech data to the corpus of standard speech data or outputting reference speech data that indicates a correct way to say the spoken speech. | 21. A computer-implemented method for assessing speech prosody comprising: receiving, by a computing device, spoken speech, the spoken speech being converted into input speech data representing the spoken speech; processing, by the computing device, the input speech data to acquire an input language structure that corresponds to the input speech data and that represents part of speech role of words of the spoken speech; obtaining, from a corpus of standard speech data comprising at least one example of standard speech data having a matching language structure as at least a portion of the input speech data, a language structure of standard speech; obtaining traversing a decision tree that corresponds to the language structure of standard speech based on at least a portion of the input language structure to identify, for a word in the input language structure, an occurrence probability of phrase boundary location at the word and a silence duration of phrase boundary location at the word, wherein a leaf node of the decision tree identifies a determined occurrence probability of phrase boundary location for a part of speech and a determined average silence duration for the part of speech each based on a first adjacent part of speech to the left of the part of speech and a second adjacent part of speech to the right of the part of speech; acquiring a rhythm feature and a fluency feature of the input speech data, wherein the rhythm feature is acquired based, at least in part, on the occurrence probability of phrase boundary location for the word and wherein the fluency feature is acquired based, at least in part, on the silence duration of phrase boundary location for the word; acquiring, from the corpus of standard speech data, a standard rhythm feature and a standard fluency feature based on the decision tree; performing a first comparison of the rhythm feature to the standard rhythm feature; performing a second comparison of the fluency feature to the standard fluency feature; obtaining a prosody assessment result based on the first and second comparisons; and based on the prosody assessment result, either adding the input speech data to the corpus of standard speech data or outputting reference speech data that indicates a correct way to say the spoken speech. 22. The computer-implemented method of claim 21 further comprising: acquiring input text data corresponding to the input speech data; and the input language structure corresponding to the input text data. | 0.5 |
9,773,271 | 3 | 5 | 3. The apparatus according to claim 1 , wherein the processing circuitry is further configured to: control presentation of information on the item selected in accordance with the user's preference by displaying the word corresponding to the feature quantity in a format different from other words out of words constituting a comment, the word contributing to the selection of the item. | 3. The apparatus according to claim 1 , wherein the processing circuitry is further configured to: control presentation of information on the item selected in accordance with the user's preference by displaying the word corresponding to the feature quantity in a format different from other words out of words constituting a comment, the word contributing to the selection of the item. 5. The apparatus according to claim 3 , wherein the processing circuitry is configured to display information on the item selected in accordance with the user's preference onto a screen of a user apparatus connected through a network. | 0.803691 |
10,127,323 | 8 | 9 | 8. A computer system for generating a multi-document summary, the computer system comprising: one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage media, and program instructions stored on at least one of the one or more tangible storage media for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising: receiving a query statement, one or more documents, one or more summary constraints, and one or more goals; identifying one or more keywords within the query statement; performing a sentence selection from the one or more documents based on the one or more identified keywords; generating a plurality of candidate summaries of the one or more documents based on the performed sentence selection, the one or more goals, and a fully-polynomial randomized approximation scheme (FPRAS) cross entropy method; calculating a quality score for each of the plurality of generated candidate summaries using a plurality of quality features; and selecting a candidate summary from the plurality of generated candidate summaries with the highest calculated quality score that also satisfies a quality score threshold. | 8. A computer system for generating a multi-document summary, the computer system comprising: one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage media, and program instructions stored on at least one of the one or more tangible storage media for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising: receiving a query statement, one or more documents, one or more summary constraints, and one or more goals; identifying one or more keywords within the query statement; performing a sentence selection from the one or more documents based on the one or more identified keywords; generating a plurality of candidate summaries of the one or more documents based on the performed sentence selection, the one or more goals, and a fully-polynomial randomized approximation scheme (FPRAS) cross entropy method; calculating a quality score for each of the plurality of generated candidate summaries using a plurality of quality features; and selecting a candidate summary from the plurality of generated candidate summaries with the highest calculated quality score that also satisfies a quality score threshold. 9. The computer system of claim 8 , further comprising: generating an expanded query statement using a plurality of query expansion techniques, wherein the expanded query statement comprises the one or more identified keywords and one or more other keywords related to the received query statement, and wherein the expanded query statement is used in the sentence selection. | 0.801697 |
7,903,878 | 1 | 18 | 1. A handheld apparatus for capturing text found on an object, the handheld apparatus comprising: a. a framing component configured to aid in positioning the object; b. a light source configured to provide lighting on the object; c. a focusing component configured to generate an image; d. an image capture component configured to generate an image of the object; e. an image composition component configured to process the image to create a composition page scan; f. an image conditioning component configured to create a conditioned image; g. an OCR component configured to convert the conditioned image to a digital text, wherein the digital text is stored in a data structure; h. a material context component configured to organize the data structure to retain the layout of the text on the object; i. a storage component configured to store the data structure as a stored digital text; j. a librarian component configured to manage access to the stored digital text from the storage component; k. a data port for data transfer; l. a handheld housing containing the framing component, the light source, the image capture component, the image composition component, the image conditioning component, the OCR component, the data port, and the material context component, m. wherein the handheld apparatus is configured to be mounted to and removed from a standalone system including an automatic page turner and a docking mechanism configured to receive the handheld apparatus. | 1. A handheld apparatus for capturing text found on an object, the handheld apparatus comprising: a. a framing component configured to aid in positioning the object; b. a light source configured to provide lighting on the object; c. a focusing component configured to generate an image; d. an image capture component configured to generate an image of the object; e. an image composition component configured to process the image to create a composition page scan; f. an image conditioning component configured to create a conditioned image; g. an OCR component configured to convert the conditioned image to a digital text, wherein the digital text is stored in a data structure; h. a material context component configured to organize the data structure to retain the layout of the text on the object; i. a storage component configured to store the data structure as a stored digital text; j. a librarian component configured to manage access to the stored digital text from the storage component; k. a data port for data transfer; l. a handheld housing containing the framing component, the light source, the image capture component, the image composition component, the image conditioning component, the OCR component, the data port, and the material context component, m. wherein the handheld apparatus is configured to be mounted to and removed from a standalone system including an automatic page turner and a docking mechanism configured to receive the handheld apparatus. 18. The handheld apparatus of claim 1 , further including a level detector configured to determine whether the handheld device is level to a surface of the object. | 0.671371 |
7,711,312 | 13 | 14 | 13. A system for detecting a bad faith essay response, the system comprising: a processor; and a processor-readable storage medium, wherein the processor-readable storage medium contains one or more programming instructions for detecting a bad faith essay response by causing the processor to execute steps comprising: receiving a plurality of essay prompts, receiving an essay response associated with a particular essay prompt of the plurality of essay prompts, scoring the essay response associated with the particular essay response against each of the plurality of essay prompts to generate plural similarity scores, and determining if the essay response associated with the particular essay prompt is a bad faith essay response based at least in part on determining whether the plural similarity scores indicate the essay response associated with the particular essay prompt is sufficiently dissimilar to each of the plurality of essay prompts. | 13. A system for detecting a bad faith essay response, the system comprising: a processor; and a processor-readable storage medium, wherein the processor-readable storage medium contains one or more programming instructions for detecting a bad faith essay response by causing the processor to execute steps comprising: receiving a plurality of essay prompts, receiving an essay response associated with a particular essay prompt of the plurality of essay prompts, scoring the essay response associated with the particular essay response against each of the plurality of essay prompts to generate plural similarity scores, and determining if the essay response associated with the particular essay prompt is a bad faith essay response based at least in part on determining whether the plural similarity scores indicate the essay response associated with the particular essay prompt is sufficiently dissimilar to each of the plurality of essay prompts. 14. The system of claim 13 wherein determining if the essay response is a bad faith essay response further comprises using a classifier including a neural network, the classifier being trained by vectors of features and then at least assisting in determining whether the essay response is a bad faith essay response based on the vectors of features. | 0.5 |
9,311,031 | 17 | 19 | 17. A non-transitory computer-readable medium for processing PDF print data on a printing device, the non-transitory computer-readable medium storing instructions which, when processed by one or more processors, cause: a locked print module on the printing device: examining PDF print data received by the printing device to determine whether an electronic document contained in the PDF print data is a policy-enabled document, if the electronic document contained in the PDF print data is a policy-enabled document, then cause the PDF print data to be stored at the printing device instead of being processed for printing, and in response to both a successful verification of a user and a request to print the electronic document via a user interface at the printing device, designating the PDF print data as available for processing; a policy client module on the printing device: retrieving, from a shared memory, a request for security data for the PDF print data, based upon the request, retrieving, from a policy server, the security data for the PDF print data, and storing, in the shared memory, the security data for the PDF print data; and a PDF-to-postscript conversion module on the printing device: retrieving the PDF print data stored at the printing device, generating, based upon the PDF print data, the request for security data for the PDF print data, storing the request for the security data for the PDF print data in the shared memory, retrieving, from the shared memory, the security data for the PDF print data, decrypting the PDF print data to generate decrypted PDF print data, and converting the decrypted PDF print data into postscript print data for printing. | 17. A non-transitory computer-readable medium for processing PDF print data on a printing device, the non-transitory computer-readable medium storing instructions which, when processed by one or more processors, cause: a locked print module on the printing device: examining PDF print data received by the printing device to determine whether an electronic document contained in the PDF print data is a policy-enabled document, if the electronic document contained in the PDF print data is a policy-enabled document, then cause the PDF print data to be stored at the printing device instead of being processed for printing, and in response to both a successful verification of a user and a request to print the electronic document via a user interface at the printing device, designating the PDF print data as available for processing; a policy client module on the printing device: retrieving, from a shared memory, a request for security data for the PDF print data, based upon the request, retrieving, from a policy server, the security data for the PDF print data, and storing, in the shared memory, the security data for the PDF print data; and a PDF-to-postscript conversion module on the printing device: retrieving the PDF print data stored at the printing device, generating, based upon the PDF print data, the request for security data for the PDF print data, storing the request for the security data for the PDF print data in the shared memory, retrieving, from the shared memory, the security data for the PDF print data, decrypting the PDF print data to generate decrypted PDF print data, and converting the decrypted PDF print data into postscript print data for printing. 19. The non-transitory computer-readable medium as recited in claim 17 , wherein: the security data includes decryption data, and the computer-readable medium further carries one or more additional instructions which, when processed by the one or more processors, causes the PDF-to-PS conversion module to use the decryption data to decrypt the PDF print data. | 0.717425 |
8,977,255 | 9 | 10 | 9. A method as recited in claim 1 , wherein the electronic device is a portable multi-function device that supports wireless voice communications and wherein the portable multi-function device can operatively connect, wirelessly or wired, with at least one other electronic device or system that supports media playback. | 9. A method as recited in claim 1 , wherein the electronic device is a portable multi-function device that supports wireless voice communications and wherein the portable multi-function device can operatively connect, wirelessly or wired, with at least one other electronic device or system that supports media playback. 10. A method as recited in claim 9 , wherein the voice command is executed on the at least one other electronic device or system. | 0.5 |
8,831,957 | 25 | 26 | 25. A client device comprising: one or more processors and one or more storage devices storing instructions that are operable, when executed by the one or more processors, to cause the one or more processors to perform operations comprising: receiving an utterance at a client device; obtaining, at the client device, location indicia for an area within a building where the utterance was spoken; communicating, from the client device to a server, data corresponding to the utterance and the location indicia for the area within the building where the utterance was spoken; and receiving, at the client device, a transcription of the utterance, wherein the transcription of the utterance was generated using a composite model, and wherein the composite model was generated using one or more selected models associated with one or more predetermined areas of the building, each of the one or more selected models being selected based on a likelihood that the utterance was spoken in the corresponding predetermined area of the building. | 25. A client device comprising: one or more processors and one or more storage devices storing instructions that are operable, when executed by the one or more processors, to cause the one or more processors to perform operations comprising: receiving an utterance at a client device; obtaining, at the client device, location indicia for an area within a building where the utterance was spoken; communicating, from the client device to a server, data corresponding to the utterance and the location indicia for the area within the building where the utterance was spoken; and receiving, at the client device, a transcription of the utterance, wherein the transcription of the utterance was generated using a composite model, and wherein the composite model was generated using one or more selected models associated with one or more predetermined areas of the building, each of the one or more selected models being selected based on a likelihood that the utterance was spoken in the corresponding predetermined area of the building. 26. The client device of claim 25 , wherein the location indicia comprises location data based on short-range wireless radio transmissions received at the client device. | 0.700355 |
9,984,165 | 1 | 11 | 1. A method of handling travel queries, the method comprising: maintaining, by a travel search platform, a plurality of pre-computed priced travel recommendations, each pre-computed priced travel recommendation having been previously computed based on underlying data obtained from a primary data source at a time that the pre-computed priced travel recommendation was computed; associating, by the travel search platform, each pre-computed priced travel recommendation with a corresponding confidence factor that indicates a probability that the associated pre-computed priced travel recommendation is still valid, the pre-computed priced travel recommendation being valid if the underlying data in the primary data source has not changed in a time period passed since the time that the pre-computed priced travel recommendation was computed and being invalid if the underlying data in the primary data source has changed in the time period; receiving, at the travel search platform, a travel query from a client indicating at least one travel search criterion; identifying, by the travel search platform from the plurality of pre-computed priced travel recommendations, a set of pre-computed priced travel recommendations that comply with the at least one travel search criterion; evaluating the confidence factors associated with the identified set of pre-computed priced travel recommendations; validating the pre-computed priced travel recommendations for which the confidence factor is greater than a given threshold by querying the primary data source for valid database query results; returning to the client, by the travel search platform, the set of pre-computed priced travel recommendations and the validated priced travel recommendations associated with confidence factors greater than the given threshold in a response to the travel query, wherein the probability the underlying data used to compute a respective pre-computed priced travel recommendation has changed increases as a function of a duration of the time period, and the response to the travel query is returned by sending a first message conveying the set of pre-computed priced travel recommendations and a second message conveying the validated priced travel recommendations associated with confidence factors greater than the given threshold. | 1. A method of handling travel queries, the method comprising: maintaining, by a travel search platform, a plurality of pre-computed priced travel recommendations, each pre-computed priced travel recommendation having been previously computed based on underlying data obtained from a primary data source at a time that the pre-computed priced travel recommendation was computed; associating, by the travel search platform, each pre-computed priced travel recommendation with a corresponding confidence factor that indicates a probability that the associated pre-computed priced travel recommendation is still valid, the pre-computed priced travel recommendation being valid if the underlying data in the primary data source has not changed in a time period passed since the time that the pre-computed priced travel recommendation was computed and being invalid if the underlying data in the primary data source has changed in the time period; receiving, at the travel search platform, a travel query from a client indicating at least one travel search criterion; identifying, by the travel search platform from the plurality of pre-computed priced travel recommendations, a set of pre-computed priced travel recommendations that comply with the at least one travel search criterion; evaluating the confidence factors associated with the identified set of pre-computed priced travel recommendations; validating the pre-computed priced travel recommendations for which the confidence factor is greater than a given threshold by querying the primary data source for valid database query results; returning to the client, by the travel search platform, the set of pre-computed priced travel recommendations and the validated priced travel recommendations associated with confidence factors greater than the given threshold in a response to the travel query, wherein the probability the underlying data used to compute a respective pre-computed priced travel recommendation has changed increases as a function of a duration of the time period, and the response to the travel query is returned by sending a first message conveying the set of pre-computed priced travel recommendations and a second message conveying the validated priced travel recommendations associated with confidence factors greater than the given threshold. 11. The method of claim 1 wherein identifying the set of pre-computed priced travel recommendations comprises: filtering out pre-computed priced travel recommendations complying with the at least one travel search criterion that are associated with confidence factor values below the given threshold. | 0.648712 |
9,606,716 | 22 | 24 | 22. A method comprising: receiving a selection of a smart copy control for a text input control on a mobile device, the text input control being in a first mobile application; receiving a selected area of a display generated by a second mobile application; identifying at least one entity of a graph-based data store in the selected area based on recognition performed on content of the selected area; automatically navigating back to the text input control in the first mobile application; and pasting a text description of the entity from the graph in the text input control. | 22. A method comprising: receiving a selection of a smart copy control for a text input control on a mobile device, the text input control being in a first mobile application; receiving a selected area of a display generated by a second mobile application; identifying at least one entity of a graph-based data store in the selected area based on recognition performed on content of the selected area; automatically navigating back to the text input control in the first mobile application; and pasting a text description of the entity from the graph in the text input control. 24. The method of claim 22 , further comprising: providing a third mobile application as a suggestion, the third mobile application selected based on prior smart copy operations. | 0.526596 |
7,702,499 | 9 | 17 | 9. A computer implemented method of preparing software for a performance estimation, comprising: obtaining a software assembly code module from a source code module, wherein the software assembly code module is an assembly-language representation; generating a software simulation model in a high level language format by disassembling a binary code, wherein the software assembly code module comprises the binary code, and the act of generating the software simulation model is performed by a processor; annotating the software simulation model with performance information of hardware together with which the software simulation model runs to capture a dynamic interaction between tasks during runtime, wherein the act of annotating the software simulation model is performed during a time of the act of generating the software simulation model; and storing at least the software simulation model on a computer usable storage medium or displaying the at least the software simulation model on a display apparatus, wherein the software simulation model is an assembler-level software simulation model, expressed in a high-level programming language. | 9. A computer implemented method of preparing software for a performance estimation, comprising: obtaining a software assembly code module from a source code module, wherein the software assembly code module is an assembly-language representation; generating a software simulation model in a high level language format by disassembling a binary code, wherein the software assembly code module comprises the binary code, and the act of generating the software simulation model is performed by a processor; annotating the software simulation model with performance information of hardware together with which the software simulation model runs to capture a dynamic interaction between tasks during runtime, wherein the act of annotating the software simulation model is performed during a time of the act of generating the software simulation model; and storing at least the software simulation model on a computer usable storage medium or displaying the at least the software simulation model on a display apparatus, wherein the software simulation model is an assembler-level software simulation model, expressed in a high-level programming language. 17. The method of claim 9 , wherein the performance information comprises estimated performance information. | 0.766234 |
8,312,022 | 8 | 11 | 8. The method of claim 1 further comprising displaying a web page comprising computer-executable links to the set of related multimedia content elements. | 8. The method of claim 1 further comprising displaying a web page comprising computer-executable links to the set of related multimedia content elements. 11. The method of claim 8 wherein the web page further comprises one or more of the tags, the keywords, and the additional text and phrases. | 0.683258 |
10,027,778 | 3 | 4 | 3. The method of claim 1 , comprising: responsive to receiving the endorsement of the particular skill from the first member, increasing a calculated skill rank for the second member for the particular skill. | 3. The method of claim 1 , comprising: responsive to receiving the endorsement of the particular skill from the first member, increasing a calculated skill rank for the second member for the particular skill. 4. The method of claim 3 , wherein an amount with which the calculated skill rank for the second member is increased for the particular skill depends on a skill rank of the first member for the particular skill. | 0.5 |
9,640,180 | 1 | 14 | 1. A computer-implemented method comprising: receiving, by a computer-implemented agent specific to a user device, a digital representation of speech encoding an utterance; determining, by the computer-implemented agent, that the utterance specifies a request for another computer-implemented agent represented by data, stored on the user device, that identifies a particular style of expression for the other computer-implemented agent from among two or more different styles of expression for a particular language; receiving, by the user device, identification of a response to the utterance from the other computer-implemented agent; determining, by the user device, the particular style of expression for the other computer-implemented agent to use for presentation of the response; and presenting, by the user device, the response to the utterance received from the other computer-implemented agent according to the particular style of expression. | 1. A computer-implemented method comprising: receiving, by a computer-implemented agent specific to a user device, a digital representation of speech encoding an utterance; determining, by the computer-implemented agent, that the utterance specifies a request for another computer-implemented agent represented by data, stored on the user device, that identifies a particular style of expression for the other computer-implemented agent from among two or more different styles of expression for a particular language; receiving, by the user device, identification of a response to the utterance from the other computer-implemented agent; determining, by the user device, the particular style of expression for the other computer-implemented agent to use for presentation of the response; and presenting, by the user device, the response to the utterance received from the other computer-implemented agent according to the particular style of expression. 14. The method of claim 1 comprising: receiving, by the user device, a description of an entity that created the other computer-implemented agent; and providing, by the user device, a representation of the description of the entity that created the other computer-implemented agent for presentation. | 0.82391 |
8,590,011 | 1 | 5 | 1. A method of providing controlled, electronic access to variable domain data stored in a data processing system, the method comprising: performing using a computer system: receiving information from a principal that includes information identifying the principal; performing one or more logical relationship operations on a data security model and a variable domain data model using security attributes of the data security model to determine a level of resource data access to be granted to the principal, wherein the variable domain model comprises a product configuration model, and performing the one or more logical operations comprises executing a configuration engine to perform an intersection between configuration spaces defined by a data security model and a product configuration model, wherein data included in any overlap of the configuration spaces is used to determine a level of resource data access to be granted to the principal; and granting the principal access to the resource data in accordance with the determined level of resource data access to be granted to the principal, wherein the principal comprises an entity that has controlled access to the resource data. | 1. A method of providing controlled, electronic access to variable domain data stored in a data processing system, the method comprising: performing using a computer system: receiving information from a principal that includes information identifying the principal; performing one or more logical relationship operations on a data security model and a variable domain data model using security attributes of the data security model to determine a level of resource data access to be granted to the principal, wherein the variable domain model comprises a product configuration model, and performing the one or more logical operations comprises executing a configuration engine to perform an intersection between configuration spaces defined by a data security model and a product configuration model, wherein data included in any overlap of the configuration spaces is used to determine a level of resource data access to be granted to the principal; and granting the principal access to the resource data in accordance with the determined level of resource data access to be granted to the principal, wherein the principal comprises an entity that has controlled access to the resource data. 5. The method of claim 1 wherein the level of resource data access granted to the principal comprises rights to view the resource data. | 0.846591 |
7,676,680 | 1 | 8 | 1. A computer assisted method of providing a private placement document to a potential investor in a private placement, the method comprising: generating the private placement document in an encrypted electronic format with a computer system comprising at least one processor and operatively associated memory, wherein generating the private placement document includes labeling the private placement document with a unique identifier and wherein the private placement document comprises a subscription document; providing the private placement document to the potential investor electronically with the computer system, wherein the subscription document is programmed to: (i) prompt the potential investor to enter information relating to the potential investor into the subscription document; (ii) conditioned upon the potential investor declining to enter the information relating to the potential investor into the subscription document, rendering the private placement document unreadable by the potential investor; (iii) conditioned upon the information relating to the potential investor failing to meet a pre-determined qualification standard, rendering the private placement document unreadable by the potential investor; and (iv) conditioned upon the potential investor failing to enter the information relating to the potential investor into the subscription document within a predetermined amount of time, rendering the private placement document unreadable by the potential investor; recording the unique identifier at a database in communication with the computer system, wherein the unique identifier is recorded at the database in association with the potential investor; electronically receiving the subscription document from the potential investor with the computer system, wherein the subscription document, when received from the potential investor, comprises the information relating to the potential investor; and verifying with the computer system that the information relating to the potential investor is correctly entered into the subscription document. | 1. A computer assisted method of providing a private placement document to a potential investor in a private placement, the method comprising: generating the private placement document in an encrypted electronic format with a computer system comprising at least one processor and operatively associated memory, wherein generating the private placement document includes labeling the private placement document with a unique identifier and wherein the private placement document comprises a subscription document; providing the private placement document to the potential investor electronically with the computer system, wherein the subscription document is programmed to: (i) prompt the potential investor to enter information relating to the potential investor into the subscription document; (ii) conditioned upon the potential investor declining to enter the information relating to the potential investor into the subscription document, rendering the private placement document unreadable by the potential investor; (iii) conditioned upon the information relating to the potential investor failing to meet a pre-determined qualification standard, rendering the private placement document unreadable by the potential investor; and (iv) conditioned upon the potential investor failing to enter the information relating to the potential investor into the subscription document within a predetermined amount of time, rendering the private placement document unreadable by the potential investor; recording the unique identifier at a database in communication with the computer system, wherein the unique identifier is recorded at the database in association with the potential investor; electronically receiving the subscription document from the potential investor with the computer system, wherein the subscription document, when received from the potential investor, comprises the information relating to the potential investor; and verifying with the computer system that the information relating to the potential investor is correctly entered into the subscription document. 8. The method of claim 1 , wherein the private placement document is configured to become unusable after a predetermined amount of time. | 0.823834 |
9,342,789 | 5 | 6 | 5. The computer program product of claim 1 , wherein said training comprises: training the classifier tool based on the training dataset and associated labels; obtaining predictions by the classifier tool with respect to at least a portion of the dataset; and training the reliability classifier tool based on the training dataset and correlation between the predicted label and the associated label with respect to the same data-point. | 5. The computer program product of claim 1 , wherein said training comprises: training the classifier tool based on the training dataset and associated labels; obtaining predictions by the classifier tool with respect to at least a portion of the dataset; and training the reliability classifier tool based on the training dataset and correlation between the predicted label and the associated label with respect to the same data-point. 6. The computer program product of claim 5 , wherein said training the classifier is performed with respect to a portion of the training dataset and said obtaining predications is performed with respect to a different portion of the training dataset. | 0.819103 |
9,230,280 | 10 | 14 | 10. A computer system to assist a human analyst in analyzing large amounts of electronic communications for malfeasance, comprising: one or more computer readable storage devices configured to store: one or more software modules including computer executable instructions, the one or more software modules including a cluster engine module and a workflow engine module; a plurality of clustering strategies; a plurality of transaction risk indicators; and a plurality of communication risk indicators; one or more cluster data sources configure to store: a plurality of electronic trade data items, each electronic trade data item associated with a trade of a financial instrument, properties, and property values, each electronic trade data item comprising a trader property associating a trader identifier of a trader executing the trade; and a plurality of electronic communication data items, each electronic communication data item associated with an electronic communication and one or more trader identifiers that sent or received the electronic communication; and and one or more hardware computer processors in communication with the one or more computer readable storage devices and the one or more cluster data sources, and configured to execute the one or more software modules in order to cause the one or more hardware computer processors to: designate, by the cluster engine module, one or more seeds by: accessing, from the one or more computer readable storage devices, the plurality of transaction risk indicators and at least one electronic trade data item of the plurality of electronic trade data items; comparing the plurality of transaction risk indicators to the at least one electronic trade data item and associated properties; based at least on the comparison and in response to determining the at least one electronic trade data item is related to at least one transaction risk indicator, designating the at least one electronic trade data item as a first seed; determining a subset of electronic communication data items from the plurality of electronic communication data items that are identifiable as likely side conversations, wherein determining the subset of electronic communication data items comprises identifying an electronic communication data item that has at least one less of a particular participant than a previous electronic communication associated with the electronic communication data item; searching the subset of electronic communication data items to identify an initial electronic communication data item, distinct from the at least one electronic trade data item, based at least on a communication risk indicator of the plurality of communication risk indicators and a sender or recipient of the initial electronic communication data item corresponding to a trader associated with the at least one electronic trade data item; and designating the initial electronic communication data item as a second seed; for each designated first and second seed: identify, by the cluster engine module, one or more first data items determined to be associated with the first seed based at least in part on a first clustering strategy of the plurality of clustering strategies, wherein the first clustering strategy queries the one or more cluster data sources to determine at least one of: a first trader identifier associated with the first seed of the at least one electronic trade data item, or an electronic communication data item of the plurality of electronic communication data items associated with a first trader corresponding to the first trader identifier; identify, by the cluster engine module, one or more second data items determined to be associated with the second seed based at least in part on a second clustering strategy of the plurality of clustering strategies, wherein the second clustering strategy queries the one or more cluster data sources to determine at least one of: a sender or recipient associated with the second seed of the initial electronic communication data item, an initial participant corresponding to at least one of the sender or recipient of the initial electronic communication data item, or an electronic trade data item of the plurality of electronic trade data items associated with the initial participant; generate, by the cluster engine module, a cluster based at least on the first and second seed, wherein generating the cluster comprises: adding the first and second seed to the cluster; adding the one or more first data items to the cluster; adding the one or more second data items to the cluster; storing the generated cluster in the one or more computer readable storage devices; and determine, by the cluster engine module, a score for the generated cluster, based at least on one or more scoring criterions; and cause presentation, by the workflow engine module, of at least one generated cluster and the determined score for the at least one generated cluster in a user interface of a client computing device. | 10. A computer system to assist a human analyst in analyzing large amounts of electronic communications for malfeasance, comprising: one or more computer readable storage devices configured to store: one or more software modules including computer executable instructions, the one or more software modules including a cluster engine module and a workflow engine module; a plurality of clustering strategies; a plurality of transaction risk indicators; and a plurality of communication risk indicators; one or more cluster data sources configure to store: a plurality of electronic trade data items, each electronic trade data item associated with a trade of a financial instrument, properties, and property values, each electronic trade data item comprising a trader property associating a trader identifier of a trader executing the trade; and a plurality of electronic communication data items, each electronic communication data item associated with an electronic communication and one or more trader identifiers that sent or received the electronic communication; and and one or more hardware computer processors in communication with the one or more computer readable storage devices and the one or more cluster data sources, and configured to execute the one or more software modules in order to cause the one or more hardware computer processors to: designate, by the cluster engine module, one or more seeds by: accessing, from the one or more computer readable storage devices, the plurality of transaction risk indicators and at least one electronic trade data item of the plurality of electronic trade data items; comparing the plurality of transaction risk indicators to the at least one electronic trade data item and associated properties; based at least on the comparison and in response to determining the at least one electronic trade data item is related to at least one transaction risk indicator, designating the at least one electronic trade data item as a first seed; determining a subset of electronic communication data items from the plurality of electronic communication data items that are identifiable as likely side conversations, wherein determining the subset of electronic communication data items comprises identifying an electronic communication data item that has at least one less of a particular participant than a previous electronic communication associated with the electronic communication data item; searching the subset of electronic communication data items to identify an initial electronic communication data item, distinct from the at least one electronic trade data item, based at least on a communication risk indicator of the plurality of communication risk indicators and a sender or recipient of the initial electronic communication data item corresponding to a trader associated with the at least one electronic trade data item; and designating the initial electronic communication data item as a second seed; for each designated first and second seed: identify, by the cluster engine module, one or more first data items determined to be associated with the first seed based at least in part on a first clustering strategy of the plurality of clustering strategies, wherein the first clustering strategy queries the one or more cluster data sources to determine at least one of: a first trader identifier associated with the first seed of the at least one electronic trade data item, or an electronic communication data item of the plurality of electronic communication data items associated with a first trader corresponding to the first trader identifier; identify, by the cluster engine module, one or more second data items determined to be associated with the second seed based at least in part on a second clustering strategy of the plurality of clustering strategies, wherein the second clustering strategy queries the one or more cluster data sources to determine at least one of: a sender or recipient associated with the second seed of the initial electronic communication data item, an initial participant corresponding to at least one of the sender or recipient of the initial electronic communication data item, or an electronic trade data item of the plurality of electronic trade data items associated with the initial participant; generate, by the cluster engine module, a cluster based at least on the first and second seed, wherein generating the cluster comprises: adding the first and second seed to the cluster; adding the one or more first data items to the cluster; adding the one or more second data items to the cluster; storing the generated cluster in the one or more computer readable storage devices; and determine, by the cluster engine module, a score for the generated cluster, based at least on one or more scoring criterions; and cause presentation, by the workflow engine module, of at least one generated cluster and the determined score for the at least one generated cluster in a user interface of a client computing device. 14. The computer system of claim 10 , wherein an additional electronic communication data item from the plurality of electronic communication data items comprises an email message or a chat message, and wherein generating the cluster further comprises: identifying the additional electronic communication data item, from the plurality of electronic communication data items, comprising a name of an entity and recipient data, wherein the recipient data indicates that a recipient of the additional electronic communication data item matches a person or identifier value in the cluster, and a representative of the entity was not a recipient of the additional electronic communication data item. | 0.652305 |
9,477,749 | 33 | 50 | 33. A non-transitory computer readable storage medium comprising instructions that if executed enables a computing system to: access unstructured data from one or more sources of text; process text from the unstructured data to extract features from the unstructured data; receive an instruction to execute a report from a user; receive an instruction to determine the one or more causal factors associated with an observation selected by the user; determine a baseline for comparison with the selected observation, the baseline being determined by the user as either data comprising one or more features in which the observation is not present or the data originating in a particular time period comprising one or more features in which the observation is present; determine the one or more causal factors associated with the selected observation by calculating an impact of one or more of the features of the unstructured data on the observation selected by the user using the baseline for comparison with the observation selected, at least one of the one or more causal factors comprising one or more of the features, and the impact on a measurable characteristic of the observation selected being calculated based on a comparison of one or more of the features of the unstructured data associated with the presence of the observation and features of the unstructured data associated with the baseline, the measurable characteristic being a volume-based metric, a sentiment metric, a satisfaction metric, or another user-defined metric; rank the one or more causal factors based on a measure of statistical association to the selected observation; and present results to the user. | 33. A non-transitory computer readable storage medium comprising instructions that if executed enables a computing system to: access unstructured data from one or more sources of text; process text from the unstructured data to extract features from the unstructured data; receive an instruction to execute a report from a user; receive an instruction to determine the one or more causal factors associated with an observation selected by the user; determine a baseline for comparison with the selected observation, the baseline being determined by the user as either data comprising one or more features in which the observation is not present or the data originating in a particular time period comprising one or more features in which the observation is present; determine the one or more causal factors associated with the selected observation by calculating an impact of one or more of the features of the unstructured data on the observation selected by the user using the baseline for comparison with the observation selected, at least one of the one or more causal factors comprising one or more of the features, and the impact on a measurable characteristic of the observation selected being calculated based on a comparison of one or more of the features of the unstructured data associated with the presence of the observation and features of the unstructured data associated with the baseline, the measurable characteristic being a volume-based metric, a sentiment metric, a satisfaction metric, or another user-defined metric; rank the one or more causal factors based on a measure of statistical association to the selected observation; and present results to the user. 50. The non-transitory computer readable storage medium of claim 33 , further comprising instructions that if executed enable the computing system to: present a non-trended report by displaying volume aggregated over a non-time data dimension; and wherein the instructions for receiving an instruction to determine the one or more causal factors associated with the observation selected by the user further comprise instructions that if executed enable the computing system to: allow the user to select a specific data dimension value as the observation for investigating any causal factors that show a statistically significant tendency to associate more with the selected data dimension value rather than other data dimension values. | 0.5 |
7,809,760 | 1 | 24 | 1. A method for utilizing description records from multimedia content, the method causing a computing device to perform steps comprising: receiving multimedia content having description records generated by steps comprising: generating multimedia object descriptions for at least one identified multimedia type based on multimedia objects extracted from the multimedia content; generating, from the multimedia object descriptions, non-hierarchical entity relation graph descriptions for the at least one identified multimedia type, wherein the non-hierarchical entity relation graph descriptions are associated with communication between multimedia objects; and integrating the multimedia object descriptions and the entity relation graph descriptions to generate at least one description record to represent content embedded within the multimedia content; extracting a description record from the multimedia content; displaying the multimedia content; and displaying the extracted description record in connection with the displayed multimedia content. | 1. A method for utilizing description records from multimedia content, the method causing a computing device to perform steps comprising: receiving multimedia content having description records generated by steps comprising: generating multimedia object descriptions for at least one identified multimedia type based on multimedia objects extracted from the multimedia content; generating, from the multimedia object descriptions, non-hierarchical entity relation graph descriptions for the at least one identified multimedia type, wherein the non-hierarchical entity relation graph descriptions are associated with communication between multimedia objects; and integrating the multimedia object descriptions and the entity relation graph descriptions to generate at least one description record to represent content embedded within the multimedia content; extracting a description record from the multimedia content; displaying the multimedia content; and displaying the extracted description record in connection with the displayed multimedia content. 24. The method of claim 1 , wherein description records are generated by steps further comprising: receiving and encoding the multimedia object descriptions into encoded description information; and storing the encoded description information as the at least one description record. | 0.716298 |
8,694,511 | 1 | 3 | 1. A computer-implemented method, the method comprising: identifying click data for a document, wherein the click data represents a plurality of selections of the document, each selection being weighted according to a respective viewing time of the document when the document was identified as a search result responsive to a query submitted by a respective user in a respective country in a respective language; calculating first click data by aggregating the weighted selections of the document that are for a same respective country in a respective language; calculating second click data by aggregating the weighted selections of the document that are for a same respective language; deemphasizing the second click data relative to the first click data based on, at least, a determination that a language of the query and a language of a user interface are the same; and calculating a quality of result statistic for the document by combining the first click data with the deemphasized second click data; and providing the quality of result statistic as an input to a ranking for the document. | 1. A computer-implemented method, the method comprising: identifying click data for a document, wherein the click data represents a plurality of selections of the document, each selection being weighted according to a respective viewing time of the document when the document was identified as a search result responsive to a query submitted by a respective user in a respective country in a respective language; calculating first click data by aggregating the weighted selections of the document that are for a same respective country in a respective language; calculating second click data by aggregating the weighted selections of the document that are for a same respective language; deemphasizing the second click data relative to the first click data based on, at least, a determination that a language of the query and a language of a user interface are the same; and calculating a quality of result statistic for the document by combining the first click data with the deemphasized second click data; and providing the quality of result statistic as an input to a ranking for the document. 3. The method of claim 1 wherein the deemphasizing further comprises: determining whether a language of the document and the language of the user interface are the same; and deemphasizing the second click data relative to the first click data based at least partially on the determination that the language of the document and the language of the user interface are the same. | 0.577703 |
9,112,978 | 1 | 3 | 1. A method comprising: establishing, by a data-processing system, a call comprising a first telecommunications terminal and a second telecommunications terminal; transmitting a first directive signal from said first telecommunications terminal; receiving, at the data-processing system, said first directive signal to transmit a first alert signal to said second telecommunications terminal when a first topic signal has been received, wherein the first topic signal is transmitted by the first telecommunications terminal in response to receiving user input at the first telecommunications terminal and wherein the first topic signal indicates that a first topic is next to be discussed during the call; receiving, at the data-processing system, the first topic signal from the first telecommunications terminal; transmitting, by the data-processing system, said first alert signal to said second telecommunications terminal in response to receiving said first topic signal; receiving a second directive signal to add an additional telecommunications terminal to said call when a second topic signal has been received, the second topic signal indicating that a second topic is next to be discussed on the call; and adding said additional telecommunications terminal to the call when both the second directive signal and the second topic signal have been received. | 1. A method comprising: establishing, by a data-processing system, a call comprising a first telecommunications terminal and a second telecommunications terminal; transmitting a first directive signal from said first telecommunications terminal; receiving, at the data-processing system, said first directive signal to transmit a first alert signal to said second telecommunications terminal when a first topic signal has been received, wherein the first topic signal is transmitted by the first telecommunications terminal in response to receiving user input at the first telecommunications terminal and wherein the first topic signal indicates that a first topic is next to be discussed during the call; receiving, at the data-processing system, the first topic signal from the first telecommunications terminal; transmitting, by the data-processing system, said first alert signal to said second telecommunications terminal in response to receiving said first topic signal; receiving a second directive signal to add an additional telecommunications terminal to said call when a second topic signal has been received, the second topic signal indicating that a second topic is next to be discussed on the call; and adding said additional telecommunications terminal to the call when both the second directive signal and the second topic signal have been received. 3. The method of claim 1 , wherein said first directive signal is received at said first telecommunications terminal from a user of said first telecommunications terminal. | 0.77321 |
7,792,780 | 4 | 8 | 4. The method of claim 1 , wherein the engine logic comprises at least one rule set, wherein said at least one rule set comprises a plurality of rules. | 4. The method of claim 1 , wherein the engine logic comprises at least one rule set, wherein said at least one rule set comprises a plurality of rules. 8. The method of claim 4 , wherein the engine executes the rules in said at least one rule set in an IF-ELSE mode by terminating the execution of the rules upon encountering a rule that is applicable. | 0.672131 |
9,195,756 | 9 | 13 | 9. An apparatus providing personalized search and browsing capabilities of internet web pages, said apparatus comprising: an index server comprising one or more computers maintaining dynamic indices to internet web pages and employing a hierarchical plurality of topic categories whose contents are maintained and updated by said index server, wherein a master index is maintained as well as one for each user; a link permitting a user to specify for the user's index any subset of said plurality of topic categories; a link adding to an electronic medium link information permitting execution of searches of internet web page contents of the internet web pages accessible to said index server in at least two categories of said subset but only of categories in said subset, or any subset of that subset; and a link allowing the user to propose addition of an internet web page to said master index in conjunction with one or more categories of said subset; and wherein said index server adds via an evaluator said proposed page to said master index wherein all users can search said proposed page via said link information in the applicable one or more topic categories, and wherein proposed pages are given to the evaluator ordered by one or more of the group consisting of a number of users who have added the proposed page to the same topic category, average user percentage of users that recommended the proposed page, and age of the proposed page recommendation. | 9. An apparatus providing personalized search and browsing capabilities of internet web pages, said apparatus comprising: an index server comprising one or more computers maintaining dynamic indices to internet web pages and employing a hierarchical plurality of topic categories whose contents are maintained and updated by said index server, wherein a master index is maintained as well as one for each user; a link permitting a user to specify for the user's index any subset of said plurality of topic categories; a link adding to an electronic medium link information permitting execution of searches of internet web page contents of the internet web pages accessible to said index server in at least two categories of said subset but only of categories in said subset, or any subset of that subset; and a link allowing the user to propose addition of an internet web page to said master index in conjunction with one or more categories of said subset; and wherein said index server adds via an evaluator said proposed page to said master index wherein all users can search said proposed page via said link information in the applicable one or more topic categories, and wherein proposed pages are given to the evaluator ordered by one or more of the group consisting of a number of users who have added the proposed page to the same topic category, average user percentage of users that recommended the proposed page, and age of the proposed page recommendation. 13. The apparatus of claim 9 wherein the user comprises a group of users. | 0.857422 |
10,054,329 | 1 | 5 | 1. A computer-implemented method comprising: obtaining historical event data for events detected over a past period of time by sensors within a property; receiving a set of current event data for one or more events detected by one or more of the sensors within the property; determining that the set of current event data matches a pattern of events indicated by the historical event data; generating, based on the pattern of events, a confidence score for the set of current event data that indicates the likeliness that a person is not within the property; determining, based on analyzing a cost for performing an action and a convenience to a resident of the property for performing the action, a confidence threshold for the action; comparing the confidence score for the set of current event data to the confidence threshold for the action; based on comparing the confidence score for the set of current event data to the confidence threshold for the action, determining that the confidence score satisfies the confidence threshold; and in response to determining that the confidence score satisfies the confidence threshold for the action, performing the action. | 1. A computer-implemented method comprising: obtaining historical event data for events detected over a past period of time by sensors within a property; receiving a set of current event data for one or more events detected by one or more of the sensors within the property; determining that the set of current event data matches a pattern of events indicated by the historical event data; generating, based on the pattern of events, a confidence score for the set of current event data that indicates the likeliness that a person is not within the property; determining, based on analyzing a cost for performing an action and a convenience to a resident of the property for performing the action, a confidence threshold for the action; comparing the confidence score for the set of current event data to the confidence threshold for the action; based on comparing the confidence score for the set of current event data to the confidence threshold for the action, determining that the confidence score satisfies the confidence threshold; and in response to determining that the confidence score satisfies the confidence threshold for the action, performing the action. 5. The computer-implemented method of claim 1 , wherein generating, based on the pattern of events, a confidence score for the set of current event data comprises: generating the confidence score based on how often the pattern of events is followed by detecting no one is at the property. | 0.678571 |
8,352,388 | 1 | 2 | 1. A personal search agent system, comprising: a user agent comprising a processor or microprocessor, wherein the processor or microprocessor is programmed to: receive a query statement from a user; format the query statement; forward the query statement to a server-based search manager agent; receive the response to the query statement; and display the response to the user; a search manager agent comprising a processor or microprocessor, wherein the processor or microprocessor is programmed to: receive a query statement from the user agent; assign search tasks to one or more search engine task agents; collect search results; validate search results; order search results into a response; and forward the response to the user agent; a user miner agent comprising a processor or microprocessor, wherein the processor or microprocessor is programmed to: observe the user's interaction with the user agent; and learn the behavior and preferences of the user; and a data mining agent comprising a processor or microprocessor, wherein the processor or microprocessor is programmed to: analyze the responses to the user's queries; and build a conceptual network of the knowledge contained in the response. | 1. A personal search agent system, comprising: a user agent comprising a processor or microprocessor, wherein the processor or microprocessor is programmed to: receive a query statement from a user; format the query statement; forward the query statement to a server-based search manager agent; receive the response to the query statement; and display the response to the user; a search manager agent comprising a processor or microprocessor, wherein the processor or microprocessor is programmed to: receive a query statement from the user agent; assign search tasks to one or more search engine task agents; collect search results; validate search results; order search results into a response; and forward the response to the user agent; a user miner agent comprising a processor or microprocessor, wherein the processor or microprocessor is programmed to: observe the user's interaction with the user agent; and learn the behavior and preferences of the user; and a data mining agent comprising a processor or microprocessor, wherein the processor or microprocessor is programmed to: analyze the responses to the user's queries; and build a conceptual network of the knowledge contained in the response. 2. The system of claim 1 , wherein the data mining agent further learns associations of natural language artifacts in unstructured data sources, wherein said artifacts include at least one of words, phrases, subjects, predicates, modifiers, and other syntactic forms. | 0.5 |
9,412,392 | 55 | 56 | 55. The method of claim 47 , wherein the contextual information comprises an operational state of the electronic device at the time the at least a portion of the voice command is recorded. | 55. The method of claim 47 , wherein the contextual information comprises an operational state of the electronic device at the time the at least a portion of the voice command is recorded. 56. The method of claim 55 , wherein the operational state of the electronic device comprises whether or not an application of the electronic device is running at the time the at least a portion of the voice command is recorded. | 0.5 |
7,984,008 | 10 | 11 | 10. A computer-implemented method comprising: identifying sub-string repetition in a pass phrase; generating a sub-string index; determining a number of bits required to represent each character in the pass phrase; assigning, using a processor, an entropy value to each character in the pass phrase in accordance with a probability function that assigns lowest probabilities when a ratio of a number of pass phrase characters to pass phrase length is equal to a ratio of a size the interval to a sum of interval sizes; and computing a total entropy value for the pass phrase. | 10. A computer-implemented method comprising: identifying sub-string repetition in a pass phrase; generating a sub-string index; determining a number of bits required to represent each character in the pass phrase; assigning, using a processor, an entropy value to each character in the pass phrase in accordance with a probability function that assigns lowest probabilities when a ratio of a number of pass phrase characters to pass phrase length is equal to a ratio of a size the interval to a sum of interval sizes; and computing a total entropy value for the pass phrase. 11. The computer-implemented method of claim 10 , wherein the identifying comprises identifying a sub-string as one or more characters that occurs at least twice in the pass phrase. | 0.621339 |
8,887,301 | 1 | 10 | 1. A computerized method for classifying and redacting an email message for distributing to multiple recipients having different security levels, the method comprising: using a processor for: selecting a segment of the email message; automatically analyzing contents of the selected segment in real time by using an artificial intelligence (AI) system; automatically classifying the segment, based on results of the analysis performed by the artificial intelligence system, and in accordance with a set of classification options characterizing a type of information contained in the segment; automatically marking the segment in accordance with a respective classification option, producing a marked segment; automatically classifying the email message based on classifications of segments of the email message; and automatically redacting the email message in real time in accordance with a respective clearance level of a recipient of the email message, producing a redacted email message, comprising: (i) arranging recipients of the email message in a hierarchy in accordance with respective clearance levels such that a recipient with a higher clearance level occupies a higher level in the hierarchy in comparison to a recipient with a lower clearance level; and (ii) automatically distributing the redacted email message to the recipients of a particular level in the hierarchy concurrently with the redacting marked segments for the recipients at the immediate lower level in the hierarchy. | 1. A computerized method for classifying and redacting an email message for distributing to multiple recipients having different security levels, the method comprising: using a processor for: selecting a segment of the email message; automatically analyzing contents of the selected segment in real time by using an artificial intelligence (AI) system; automatically classifying the segment, based on results of the analysis performed by the artificial intelligence system, and in accordance with a set of classification options characterizing a type of information contained in the segment; automatically marking the segment in accordance with a respective classification option, producing a marked segment; automatically classifying the email message based on classifications of segments of the email message; and automatically redacting the email message in real time in accordance with a respective clearance level of a recipient of the email message, producing a redacted email message, comprising: (i) arranging recipients of the email message in a hierarchy in accordance with respective clearance levels such that a recipient with a higher clearance level occupies a higher level in the hierarchy in comparison to a recipient with a lower clearance level; and (ii) automatically distributing the redacted email message to the recipients of a particular level in the hierarchy concurrently with the redacting marked segments for the recipients at the immediate lower level in the hierarchy. 10. The method of claim 1 , further comprising redacting marked segments incrementally, comprising redacting the marked segments for the recipients in a particular level in the hierarchy prior to the redacting the marked segments for the recipients at an immediate lower level in the hierarchy. | 0.5 |
7,640,232 | 22 | 23 | 22. The process of claim 16 , wherein the results of the refined search are returned to the recipient other than the user, and wherein the process further comprises the steps of: receiving information from the recipient; and selectively sending the results of the refined search to the recipient based upon any of the information received from the recipient and a selection of the recipient by the user. | 22. The process of claim 16 , wherein the results of the refined search are returned to the recipient other than the user, and wherein the process further comprises the steps of: receiving information from the recipient; and selectively sending the results of the refined search to the recipient based upon any of the information received from the recipient and a selection of the recipient by the user. 23. The process of claim 22 , wherein the information received from the recipient comprises an interest in the results. | 0.5 |
9,424,010 | 4 | 6 | 4. The method of claim 1 , wherein the plurality of property labels includes valueness labels for object oriented language classes. | 4. The method of claim 1 , wherein the plurality of property labels includes valueness labels for object oriented language classes. 6. The method of claim 4 , further comprising labeling all classes in the computer code written in object oriented language with a valueness property, the valueness property being labeled by at least one of the plurality of property labels. | 0.5 |
9,508,098 | 1 | 4 | 1. A system, comprising: at least one hardware processor; and memory storing instructions that are executable using the at least one hardware processor to cause the system to perform operations including: providing, in a user interface, a graphical element that includes an identification of a context in relation to a product or service; in response to receiving a selection of the graphical element in the user interface: processing information from a plurality of users of a network marketplace regarding the product or service to determine attributes relevant to the context, and displaying, in the user interface, a list of the determined attributes; in response to receiving a selection of at least one of the determined attributes: generating result data by retrieving data associated with the context and filtering the retrieved data according to the at least one selected attribute, grouping the result data based on corresponding data types, and providing graphical tabs, in the user interface, for each group of result data, each tab including an identification of the corresponding data type; and in response to receiving a selection of a graphical tab, updating the user interface to display an entry field for entering a new result data of the corresponding data type for which the selected graphical tab is provided. | 1. A system, comprising: at least one hardware processor; and memory storing instructions that are executable using the at least one hardware processor to cause the system to perform operations including: providing, in a user interface, a graphical element that includes an identification of a context in relation to a product or service; in response to receiving a selection of the graphical element in the user interface: processing information from a plurality of users of a network marketplace regarding the product or service to determine attributes relevant to the context, and displaying, in the user interface, a list of the determined attributes; in response to receiving a selection of at least one of the determined attributes: generating result data by retrieving data associated with the context and filtering the retrieved data according to the at least one selected attribute, grouping the result data based on corresponding data types, and providing graphical tabs, in the user interface, for each group of result data, each tab including an identification of the corresponding data type; and in response to receiving a selection of a graphical tab, updating the user interface to display an entry field for entering a new result data of the corresponding data type for which the selected graphical tab is provided. 4. The system of claim 1 , wherein the result data types include at least one from a group consisting of: a review list, a recommendation list, research from other users, research from the user, a seller list, and a buyer list. | 0.625413 |
9,684,690 | 1 | 2 | 1. A computer-implemented method to search for flights from non-customized search engine interfaces, comprising: receiving, by one or more computing devices, an expressive search query in a search interface, wherein the search interface is not customized for flight search inputs from a user computing device and the search interface is configured to accept a search query that is not flight-related; determining, by the one or more computing devices, that the received search query is a flights-related query based on context in the search query; and in response to determining that the search query is a flights-related query and without further user input, providing, by the one or more computing devices, a flight search interface including a plurality of search dimensions and a plurality of specific flight search results, each dimension associated with an attribute of flight search and each dimension having an associated value, wherein one or more dimension values correspond to values extracted from the search query, wherein each specific flight search result identifies a specific flight responsive to the query, and wherein the plurality of specific flight search results are filtered according to the dimension values. | 1. A computer-implemented method to search for flights from non-customized search engine interfaces, comprising: receiving, by one or more computing devices, an expressive search query in a search interface, wherein the search interface is not customized for flight search inputs from a user computing device and the search interface is configured to accept a search query that is not flight-related; determining, by the one or more computing devices, that the received search query is a flights-related query based on context in the search query; and in response to determining that the search query is a flights-related query and without further user input, providing, by the one or more computing devices, a flight search interface including a plurality of search dimensions and a plurality of specific flight search results, each dimension associated with an attribute of flight search and each dimension having an associated value, wherein one or more dimension values correspond to values extracted from the search query, wherein each specific flight search result identifies a specific flight responsive to the query, and wherein the plurality of specific flight search results are filtered according to the dimension values. 2. The computer-implemented method of claim 1 , wherein one or more of the plurality of dimensions are associated with default values. | 0.791277 |
10,033,533 | 6 | 12 | 6. A non-transitory computer-readable medium storing instructions that, when executed by a client computing device associated with a signer, cause the client computing device to perform operations comprising: receiving, by the signer's client computing device from a client computing device of a sender, an electronic signature document, wherein the electronic signature document is received from the client computing device of the sender by the client computing device of the signer independently of an electronic signature service; installing a code module on the signer's client computing device, the code module received from the electronic signature service and configured to transmit the electronic signature document received by an email client of the signer's client computing device to the electronic signature service; in response to a first input received from the signer, transmitting, by the signer's client computing device, the received electronic signature to the electronic signature service for storage in the electronic signature service; accessing, by the signer's client computing device, the electronic signature document stored in the electronic signature service; wherein accessing the electronic signature document includes signing the stored electronic signature document in response to a second input from the signer; and causing, by the signer's client computing device, the electronic signature service to transmit an email attached with a copy of the stored electronic signature document to the client computing device of the sender. | 6. A non-transitory computer-readable medium storing instructions that, when executed by a client computing device associated with a signer, cause the client computing device to perform operations comprising: receiving, by the signer's client computing device from a client computing device of a sender, an electronic signature document, wherein the electronic signature document is received from the client computing device of the sender by the client computing device of the signer independently of an electronic signature service; installing a code module on the signer's client computing device, the code module received from the electronic signature service and configured to transmit the electronic signature document received by an email client of the signer's client computing device to the electronic signature service; in response to a first input received from the signer, transmitting, by the signer's client computing device, the received electronic signature to the electronic signature service for storage in the electronic signature service; accessing, by the signer's client computing device, the electronic signature document stored in the electronic signature service; wherein accessing the electronic signature document includes signing the stored electronic signature document in response to a second input from the signer; and causing, by the signer's client computing device, the electronic signature service to transmit an email attached with a copy of the stored electronic signature document to the client computing device of the sender. 12. The computer-readable medium of claim 6 , wherein the medium further stores instructions for causing, by the signer's client computing device, the electronic signature service to transmit a copy of the stored electronic signature document to the sender as a fax. | 0.5 |
9,183,224 | 11 | 13 | 11. A server system, for processing a visual query, comprising: one or more central processing units for executing programs; memory storing one or more programs be executed by the one or more central processing units; the one or more programs comprising instructions for: receiving a visual query from a client system; performing optical character recognition (OCR) on the visual query to produce text recognition data representing a plurality of textual characters, including a plurality of textual characters in a contiguous region of the visual query; scoring each textual character in the plurality of textual characters based on at least high quality textual character scores and low quality textual character scores of other textual characters surrounding the textual character, wherein the scoring of each textual character is based, in part, on a transition cost associated with each textual character such that each textual character will score more similarly to the other textual characters surrounding the textual character as the transition cost increases; identifying one or more high quality text segments in the contiguous region of the visual query in accordance with a determination that a respective high quality text segment of the one or more high quality text segments comprises a plurality of high scoring textual characters; identifying, a document containing at least one high quality text segment of the one or more high quality text segments; retrieving the document containing the at least one high quality text segment; and sending at least a portion of the document to the client system. | 11. A server system, for processing a visual query, comprising: one or more central processing units for executing programs; memory storing one or more programs be executed by the one or more central processing units; the one or more programs comprising instructions for: receiving a visual query from a client system; performing optical character recognition (OCR) on the visual query to produce text recognition data representing a plurality of textual characters, including a plurality of textual characters in a contiguous region of the visual query; scoring each textual character in the plurality of textual characters based on at least high quality textual character scores and low quality textual character scores of other textual characters surrounding the textual character, wherein the scoring of each textual character is based, in part, on a transition cost associated with each textual character such that each textual character will score more similarly to the other textual characters surrounding the textual character as the transition cost increases; identifying one or more high quality text segments in the contiguous region of the visual query in accordance with a determination that a respective high quality text segment of the one or more high quality text segments comprises a plurality of high scoring textual characters; identifying, a document containing at least one high quality text segment of the one or more high quality text segments; retrieving the document containing the at least one high quality text segment; and sending at least a portion of the document to the client system. 13. The system of claim 11 , wherein the instructions for scoring of a respective textual character comprises instructions for a binary scoring of the textual character: as either a high quality textual character or a low quality textual character. | 0.726872 |
9,348,909 | 1 | 3 | 1. A method for ingesting and delivering video comprising: crawling, by a crawler component executed by a processor, one or more predetermined video reference sources and selectively ingesting, by an ingest component executed by a processor, one or more videos and their metadata based on predetermined ingest criteria, the ingested metadata including a title for each video and a description for each video, the title and description being maintained by a third party location from which the video and its metadata are ingested; analyzing, by an analysis component executed by a processor, the ingested videos to identify moments in the video by parsing comments relating to the video, identifying a moment if a comment includes a reference to a time in the video and storing the time and a text of the comment in a record of the moment; recording user activity data related to a user's activity with respect to one or more ingested videos, the user activity data including at least data indicating previous search parameters received from the user; rating, by a rating component executed by a processor, the video according to predetermined rating factors, including at least comparing metadata of the video to previous search parameters received from the user; searching, by a search component executed by a processor, at least the text of moment records and the titles and keywords associated with ingested videos based on search parameters received from the user; selectively delivering videos, by a delivery component executed by a processor, based on the results of the searching step in order of their rating as determined by the results of the rating step; displaying moments together with the delivered videos by displaying text of a particular moment at the time of the particular moment as the video is delivered; storing the search parameters received from the user as a channel; and in response to the receipt of a selection of a channel from a user, searching at least the text of moment records based on search parameters stored in association with the channel. | 1. A method for ingesting and delivering video comprising: crawling, by a crawler component executed by a processor, one or more predetermined video reference sources and selectively ingesting, by an ingest component executed by a processor, one or more videos and their metadata based on predetermined ingest criteria, the ingested metadata including a title for each video and a description for each video, the title and description being maintained by a third party location from which the video and its metadata are ingested; analyzing, by an analysis component executed by a processor, the ingested videos to identify moments in the video by parsing comments relating to the video, identifying a moment if a comment includes a reference to a time in the video and storing the time and a text of the comment in a record of the moment; recording user activity data related to a user's activity with respect to one or more ingested videos, the user activity data including at least data indicating previous search parameters received from the user; rating, by a rating component executed by a processor, the video according to predetermined rating factors, including at least comparing metadata of the video to previous search parameters received from the user; searching, by a search component executed by a processor, at least the text of moment records and the titles and keywords associated with ingested videos based on search parameters received from the user; selectively delivering videos, by a delivery component executed by a processor, based on the results of the searching step in order of their rating as determined by the results of the rating step; displaying moments together with the delivered videos by displaying text of a particular moment at the time of the particular moment as the video is delivered; storing the search parameters received from the user as a channel; and in response to the receipt of a selection of a channel from a user, searching at least the text of moment records based on search parameters stored in association with the channel. 3. The method of claim 1 , wherein the predetermined rating factors include at least the total number of comments for the video. | 0.709091 |
8,996,437 | 2 | 3 | 2. The method of claim 1 , wherein the automatically the updating value metric scores of the expanded set of experts via the programmable device as the function of the timeliness of the response received from the associated expert comprises: increasing the value metric score of a first expert as a function of an elapsed time of a response of the first expert to a sent survey question that is less than a normal response time; and decreasing the value metric score of a second expert in response to a failure to receive a response to a sent survey question from the second expert within an allowable time for response to the sent survey question. | 2. The method of claim 1 , wherein the automatically the updating value metric scores of the expanded set of experts via the programmable device as the function of the timeliness of the response received from the associated expert comprises: increasing the value metric score of a first expert as a function of an elapsed time of a response of the first expert to a sent survey question that is less than a normal response time; and decreasing the value metric score of a second expert in response to a failure to receive a response to a sent survey question from the second expert within an allowable time for response to the sent survey question. 3. The method of claim 2 , further comprising: sending a reminder to the second expert in response to the failure to receive the response to the sent survey question from the second expert within the threshold allowable time for response; and removing the second expert from the updated set of experts in response to a failure to receive a response to the reminder within an allowable time for response to the reminder. | 0.655428 |
7,805,240 | 3 | 4 | 3. The driving behavior prediction apparatus of claim 2 , wherein the first weight update unit updates the weighting factor for each of the relevant templates in a manner that increases the reliability in proportion to the object point distance at the time of predicting the driving behavior. | 3. The driving behavior prediction apparatus of claim 2 , wherein the first weight update unit updates the weighting factor for each of the relevant templates in a manner that increases the reliability in proportion to the object point distance at the time of predicting the driving behavior. 4. The driving behavior prediction apparatus of claim 3 , wherein the first weight update unit updates the weighting factor for each of the relevant templates by adding a reward for increasing the reliability of each of the relevant templates, and the reward is configured to increase in geometric progression in proportion to the object point distance. | 0.5 |
7,587,251 | 5 | 7 | 5. The system of claim 1 , further comprising a security component that ensures that an initiator of the request is authorized to execute the web page. | 5. The system of claim 1 , further comprising a security component that ensures that an initiator of the request is authorized to execute the web page. 7. The system of claim 5 , the security component analyzes one or more of a username, password, personal identification number, and biometric indicia in connection with ensuring that the initiator of the request is authorized to execute the web page. | 0.5 |
7,953,688 | 18 | 23 | 18. A system for conducting a compliance audit, the system comprising: at least one first processor and at least one first memory operably coupleable to the at least one first processor, the first processor and the first memory operable to access a database, wherein the database includes a knowledge base, the knowledge base including a rule set, the rule set including rules formulated from at least one requirement; an interface operable to accept input regarding circumstance data, the interface for accepting input regarding circumstance data operably coupleable to the at least one first processor and to the at least one first memory, the circumstance data regarding a subject of the at least one requirement; at least one second processor and at least one second memory, the at least one second processor operably coupleable to the interface for accepting input regarding circumstance data, the at least one second processor and the at least one second memory operable to apply the rule set to the input regarding circumstance data; and at least one third processor and at least one third memory, the at least one third processor and at least one third memory operable to generate a compliance audit, the at least one third processor and the at least one third memory operably coupleable to the at least one second processor for applying the rule set to the input regarding circumstance data, the compliance audit based on an application of the rule set to the input regarding circumstance data; wherein the circumstance data comprises: product class data to identify a general class of products for an item of manufacture; and at least one item from the group consisting of: product type data to identify a more specific type of product, within the general class of products, for the item of manufacture; product attribute data to identify a property of the item of manufacture; and customer data to identify a type of customer for the item of manufacture. | 18. A system for conducting a compliance audit, the system comprising: at least one first processor and at least one first memory operably coupleable to the at least one first processor, the first processor and the first memory operable to access a database, wherein the database includes a knowledge base, the knowledge base including a rule set, the rule set including rules formulated from at least one requirement; an interface operable to accept input regarding circumstance data, the interface for accepting input regarding circumstance data operably coupleable to the at least one first processor and to the at least one first memory, the circumstance data regarding a subject of the at least one requirement; at least one second processor and at least one second memory, the at least one second processor operably coupleable to the interface for accepting input regarding circumstance data, the at least one second processor and the at least one second memory operable to apply the rule set to the input regarding circumstance data; and at least one third processor and at least one third memory, the at least one third processor and at least one third memory operable to generate a compliance audit, the at least one third processor and the at least one third memory operably coupleable to the at least one second processor for applying the rule set to the input regarding circumstance data, the compliance audit based on an application of the rule set to the input regarding circumstance data; wherein the circumstance data comprises: product class data to identify a general class of products for an item of manufacture; and at least one item from the group consisting of: product type data to identify a more specific type of product, within the general class of products, for the item of manufacture; product attribute data to identify a property of the item of manufacture; and customer data to identify a type of customer for the item of manufacture. 23. The system of claim 18 , wherein the accepting input regarding circumstance data, the circumstance data regarding a subject of the at least one requirement, further comprises: the accepting input regarding circumstance data, the circumstance data regarding a subject of the at least one requirement, wherein the at least one requirement includes a standard provision. | 0.776775 |
8,019,610 | 1 | 5 | 1. A method for interacting with a user using an automated dialog system, comprising: generating and storing via a processor communicative goals based on a single communication received from the user, the communicative goals being related to all information needed from the user; generating a plurality of sentence plans based on the communicative goals and on a dialog history database comprising previously gathered dialogs and a present dialog to yield a plurality of generated sentence plans, wherein each sentence plan of the plurality of generated sentence plans comprises an unordered set of elementary speech acts encoding the communicative goals, each speech act assigned a canonical lexico-structural representation, and wherein each sentence plan of the plurality of sentence plans is a viable and potentially usable prompt in response to the single communication received from the user; ranking, independent of the user, the plurality of generated sentence plans to yield ranked sentence plans; and outputting at least one of the ranked sentence plans to yield an output sentence plan, wherein each needed communicative goal of the communicative goals are addressed by the output sentence plan. | 1. A method for interacting with a user using an automated dialog system, comprising: generating and storing via a processor communicative goals based on a single communication received from the user, the communicative goals being related to all information needed from the user; generating a plurality of sentence plans based on the communicative goals and on a dialog history database comprising previously gathered dialogs and a present dialog to yield a plurality of generated sentence plans, wherein each sentence plan of the plurality of generated sentence plans comprises an unordered set of elementary speech acts encoding the communicative goals, each speech act assigned a canonical lexico-structural representation, and wherein each sentence plan of the plurality of sentence plans is a viable and potentially usable prompt in response to the single communication received from the user; ranking, independent of the user, the plurality of generated sentence plans to yield ranked sentence plans; and outputting at least one of the ranked sentence plans to yield an output sentence plan, wherein each needed communicative goal of the communicative goals are addressed by the output sentence plan. 5. The method of claim 1 , wherein the dialog history database comprises interaction information related to a set of interactions between the user and the automated dialog system, and wherein the generating a plurality of sentence plans step generates sentence plans using the interaction information. | 0.5 |
8,880,388 | 3 | 5 | 3. The system as claimed in claim 1 , wherein said processor device is further configured to: substitute at least one of said replacement terms with a generalized type information term using a database of entity type knowledge. | 3. The system as claimed in claim 1 , wherein said processor device is further configured to: substitute at least one of said replacement terms with a generalized type information term using a database of entity type knowledge. 5. The system as claimed in claim 3 , wherein to query said lexical knowledge database to obtain said at least one replacement term, said processor device is configured to apply a Generalized Frame Model to obtain said at least one replacement term. | 0.5 |
9,052,854 | 3 | 6 | 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. 6. The system of claim 3 , the deferred evaluation scheme is applied to a show operator. | 0.857143 |
10,089,772 | 11 | 12 | 11. The method of claim 10 , further comprising: generating a command signal based on the comparison; and providing the command signal to one or more of the first physical object and the second physical object, the command signal being sufficient to cause either or both of the first physical object and the second physical object to perform an action defined by the command signal. | 11. The method of claim 10 , further comprising: generating a command signal based on the comparison; and providing the command signal to one or more of the first physical object and the second physical object, the command signal being sufficient to cause either or both of the first physical object and the second physical object to perform an action defined by the command signal. 12. The method of claim 11 , wherein at least one of the first physical object and the second physical object is an animatronic toy. | 0.5 |
8,117,225 | 15 | 26 | 15. A computer program product embodied on a non-transitory computer-readable medium, comprising: code for registering a global unique user login information capable of being used to access a plurality of different online applications associated with an online application system including a first online application that provides access to a first one or more files associated with the first online application, a second online application that provides access to a second one or more files associated with the second online application, a third online application that provides access to a third one or more files associated with the third online application, and a fourth online application that provides access to a fourth one or more files associated with the fourth online application; code for receiving the global unique user login information in connection with a login; code for receiving an indication to add access to the first online application, utilizing at least one first online application identifier associated with the first online application; code for receiving an indication to add access to the second online application, utilizing at least one second online application identifier associated with the second online application; code for receiving an indication to add access to the third online application, utilizing at least one third online application identifier associated with the third online application; code for receiving an indication to add access to the fourth online application, utilizing at least one fourth online application identifier associated with the fourth online application; code for allowing registration of the first online application; code for allowing registration of the second online application; code for allowing registration of the third online application; code for allowing registration of the fourth online application; code for displaying the at least one first online application identifier associated with the first online application for access purposes; code for displaying the at least one second online application identifier associated with the second online application for access purposes; code for displaying the at least one third online application identifier associated with the third online application for access purposes; code for displaying the at least one fourth online application identifier associated with the fourth online application for access purposes; code for receiving a selection of the at least one first online application identifier associated with the first online application for access purposes; code for receiving a selection of the at least one second online application identifier associated with the second online application for access purposes; code for receiving a selection of the at least one third online application identifier associated with the third online application for access purposes; code for receiving a selection of the at least one fourth online application identifier associated with the fourth online application for access purposes; code for, in response to the selection of the at least one first online application identifier associated with the first online application for access purposes, allowing access to the first online application; code for, in response to the selection of the at least one second online application identifier associated with the second online application for access purposes, allowing access to the second online application; code for, in response to the selection of the at least one third online application identifier associated with the third online application for access purposes, allowing access to the third online application; code for, in response to the selection of the at least one fourth online application identifier associated with the fourth online application for access purposes, allowing access to the fourth online application; code for identifying at least one profile, the at least one profile including: at least one user profile of an accessing user, the at least one user profile including: registration information determined when the accessing user registered, and automatically determined information that is determined automatically based on user selections of the accessing user; and at least one group profile; code for displaying a search interface in connection with the online application system, the search interface being displayed simultaneously with an advertisement that is selected based on the registration information and the automatically determined information of the at least one user profile, and the at least one group profile; code for performing a search in connection with the online application system utilizing the search interface; and code for displaying search results of the search, where the search results involve a plurality of the different online applications associated with the online application system. | 15. A computer program product embodied on a non-transitory computer-readable medium, comprising: code for registering a global unique user login information capable of being used to access a plurality of different online applications associated with an online application system including a first online application that provides access to a first one or more files associated with the first online application, a second online application that provides access to a second one or more files associated with the second online application, a third online application that provides access to a third one or more files associated with the third online application, and a fourth online application that provides access to a fourth one or more files associated with the fourth online application; code for receiving the global unique user login information in connection with a login; code for receiving an indication to add access to the first online application, utilizing at least one first online application identifier associated with the first online application; code for receiving an indication to add access to the second online application, utilizing at least one second online application identifier associated with the second online application; code for receiving an indication to add access to the third online application, utilizing at least one third online application identifier associated with the third online application; code for receiving an indication to add access to the fourth online application, utilizing at least one fourth online application identifier associated with the fourth online application; code for allowing registration of the first online application; code for allowing registration of the second online application; code for allowing registration of the third online application; code for allowing registration of the fourth online application; code for displaying the at least one first online application identifier associated with the first online application for access purposes; code for displaying the at least one second online application identifier associated with the second online application for access purposes; code for displaying the at least one third online application identifier associated with the third online application for access purposes; code for displaying the at least one fourth online application identifier associated with the fourth online application for access purposes; code for receiving a selection of the at least one first online application identifier associated with the first online application for access purposes; code for receiving a selection of the at least one second online application identifier associated with the second online application for access purposes; code for receiving a selection of the at least one third online application identifier associated with the third online application for access purposes; code for receiving a selection of the at least one fourth online application identifier associated with the fourth online application for access purposes; code for, in response to the selection of the at least one first online application identifier associated with the first online application for access purposes, allowing access to the first online application; code for, in response to the selection of the at least one second online application identifier associated with the second online application for access purposes, allowing access to the second online application; code for, in response to the selection of the at least one third online application identifier associated with the third online application for access purposes, allowing access to the third online application; code for, in response to the selection of the at least one fourth online application identifier associated with the fourth online application for access purposes, allowing access to the fourth online application; code for identifying at least one profile, the at least one profile including: at least one user profile of an accessing user, the at least one user profile including: registration information determined when the accessing user registered, and automatically determined information that is determined automatically based on user selections of the accessing user; and at least one group profile; code for displaying a search interface in connection with the online application system, the search interface being displayed simultaneously with an advertisement that is selected based on the registration information and the automatically determined information of the at least one user profile, and the at least one group profile; code for performing a search in connection with the online application system utilizing the search interface; and code for displaying search results of the search, where the search results involve a plurality of the different online applications associated with the online application system. 26. The computer program product of claim 15 , wherein the at least one profile includes an aggregate of multiple profiles. | 0.919291 |
9,251,279 | 19 | 20 | 19. A method as claimed in claim 1 , wherein the displayed set of search results is an ordered set. | 19. A method as claimed in claim 1 , wherein the displayed set of search results is an ordered set. 20. A method as claimed in claim 19 , wherein the displayed set of search results is a list of any one or combination of names, usernames, and images of people, and ordering of the set is a ranking by any one or combination of: relative closeness of relationship between the user and each person listed; degree of relative interaction; and social importance in the community of users. | 0.5 |
8,368,700 | 20 | 21 | 20. An animatronics device comprising: a plurality of motors, wherein each motor is configured to be driven by motor driving data; a first portion and a second portion, coupled via a motor from the plurality of motors; a memory configured to store a plurality of motor driving data, wherein motor driving data associated with a the motor from the plurality of motors comprises driving data at a first rate of data per time period, wherein the driving data is determined in response to animation timing data, wherein the animation timing data comprises animation data at a second rate of data per time period, wherein the first rate exceeds the second rate, and wherein the animation timing data is determined in response to animation curve data defined by a user; and a processor coupled to the memory and to the motor, wherein the processor is configured to retrieve the motor driving data from the memory and configured to apply the motor driving data to the plurality of motors at the first rate. | 20. An animatronics device comprising: a plurality of motors, wherein each motor is configured to be driven by motor driving data; a first portion and a second portion, coupled via a motor from the plurality of motors; a memory configured to store a plurality of motor driving data, wherein motor driving data associated with a the motor from the plurality of motors comprises driving data at a first rate of data per time period, wherein the driving data is determined in response to animation timing data, wherein the animation timing data comprises animation data at a second rate of data per time period, wherein the first rate exceeds the second rate, and wherein the animation timing data is determined in response to animation curve data defined by a user; and a processor coupled to the memory and to the motor, wherein the processor is configured to retrieve the motor driving data from the memory and configured to apply the motor driving data to the plurality of motors at the first rate. 21. The animatronics device of claim 20 wherein the processor is configured to determine the motor driving data in response to the animation data. | 0.688034 |
7,908,325 | 1 | 3 | 1. A method, comprising: executing, by a first computer system, a first collaboration framework and an instance of an application, wherein executing the instance of the application comprises displaying an instance of a graphical user interface of the application on the first computer system; the first collaboration framework intercepting, via an operating system event handling mechanism on the first computer system, a local user input event targeted to the instance of the application, wherein the instance of the application applies a modification to the instance of the graphical user interface in response to receiving the user input event; in response to said intercepting, the first collaboration framework sending a message including the user input event to one or more other collaboration frameworks each executing on a respective other computer system that is executing a respective other instance of the application, wherein said executing each respective other instance of the application comprises displaying a respective other instance of the graphical user interface of the application on the respective other computer system; in response to receiving the message, each of the one or more other collaboration frameworks delivering, via an operating system event handling mechanism on the respective other computer system, the user input event to the respective other instance of the application executing on the respective other computer system, displays a respective other user interface; wherein the operating system event handling mechanism delivers the user input event to the respective other application as if the user input event originated locally from the respective other user interface displayed by the respective other application; and in response to receiving the user input event, the respective other instance of the application applying the modification to the respective other instance of the graphical user interface of the application displayed by the respective other computer system. | 1. A method, comprising: executing, by a first computer system, a first collaboration framework and an instance of an application, wherein executing the instance of the application comprises displaying an instance of a graphical user interface of the application on the first computer system; the first collaboration framework intercepting, via an operating system event handling mechanism on the first computer system, a local user input event targeted to the instance of the application, wherein the instance of the application applies a modification to the instance of the graphical user interface in response to receiving the user input event; in response to said intercepting, the first collaboration framework sending a message including the user input event to one or more other collaboration frameworks each executing on a respective other computer system that is executing a respective other instance of the application, wherein said executing each respective other instance of the application comprises displaying a respective other instance of the graphical user interface of the application on the respective other computer system; in response to receiving the message, each of the one or more other collaboration frameworks delivering, via an operating system event handling mechanism on the respective other computer system, the user input event to the respective other instance of the application executing on the respective other computer system, displays a respective other user interface; wherein the operating system event handling mechanism delivers the user input event to the respective other application as if the user input event originated locally from the respective other user interface displayed by the respective other application; and in response to receiving the user input event, the respective other instance of the application applying the modification to the respective other instance of the graphical user interface of the application displayed by the respective other computer system. 3. The method of claim 1 , wherein the input event is one of a mouse event, a keyboard event, or a pointer event. | 0.909164 |
9,858,437 | 1 | 12 | 1. A method of operating an application search system, the method comprising: storing, in an application record data store, a plurality of application records corresponding respectively to a plurality of applications; storing, in a privacy record data store, for each application of at least some of the plurality of applications, a global privacy indicator specific to the application and applicable to all users; in response to receiving a first search query from a user device: identifying a plurality of search results responsive to the first search query from the application record data store, the plurality of search results corresponding to respective ones of the plurality of application records; for each search result of the plurality of search results, selectively determining a privacy indicator based on the privacy record data store; determining a search sensitivity value based on the privacy indicators; declaring the first search query as private based on the search sensitivity value; transmitting the plurality of search results to the user device; and in response to the first search query being declared as private, transmitting a search privacy indicator to the user device. | 1. A method of operating an application search system, the method comprising: storing, in an application record data store, a plurality of application records corresponding respectively to a plurality of applications; storing, in a privacy record data store, for each application of at least some of the plurality of applications, a global privacy indicator specific to the application and applicable to all users; in response to receiving a first search query from a user device: identifying a plurality of search results responsive to the first search query from the application record data store, the plurality of search results corresponding to respective ones of the plurality of application records; for each search result of the plurality of search results, selectively determining a privacy indicator based on the privacy record data store; determining a search sensitivity value based on the privacy indicators; declaring the first search query as private based on the search sensitivity value; transmitting the plurality of search results to the user device; and in response to the first search query being declared as private, transmitting a search privacy indicator to the user device. 12. The method of claim 1 , wherein: the at least some of the plurality of applications includes a first application; and the method further comprises: determining a set of applications that are similar to the first application; and generating the global privacy indicator for the first application based on the global privacy indicators of the set of applications. | 0.671171 |
7,840,934 | 11 | 15 | 11. A method for supporting workflow design comprising the steps of: a) receiving a high-level process definition; b) converting the high-level process definition into a structured data and flow; c) automatically extracting at least one business-to-business (B2B) interaction point; and d) generating a business-to-business (B2B) service template for the extracted interaction point. | 11. A method for supporting workflow design comprising the steps of: a) receiving a high-level process definition; b) converting the high-level process definition into a structured data and flow; c) automatically extracting at least one business-to-business (B2B) interaction point; and d) generating a business-to-business (B2B) service template for the extracted interaction point. 15. The method of claim 11 wherein converting the high-level process definition into a structured data and flow includes representing data in a structured form by employing a mark-up language. | 0.643123 |
9,208,228 | 1 | 4 | 1. A computer-implemented method executed by one or more processors of a social video search system, the method comprising: receiving a query from a user; obtaining, by the one or more processors, social context information about interactions of the user from a social graph; obtaining, by the one or more processors, a search result using the query; generating, by the one or more processors, an annotation for at least one search result where the annotation indicates the association with a particular source and the relation to the user; and providing, for display to the user, the modified search result and the annotation. | 1. A computer-implemented method executed by one or more processors of a social video search system, the method comprising: receiving a query from a user; obtaining, by the one or more processors, social context information about interactions of the user from a social graph; obtaining, by the one or more processors, a search result using the query; generating, by the one or more processors, an annotation for at least one search result where the annotation indicates the association with a particular source and the relation to the user; and providing, for display to the user, the modified search result and the annotation. 4. The method of claim 1 wherein the social context information includes information about interaction of the user with other users. | 0.635359 |
9,986,390 | 8 | 9 | 8. The telephone system as in claim 7 , wherein the computer part also includes an editor which allows changing parts of the greeting. | 8. The telephone system as in claim 7 , wherein the computer part also includes an editor which allows changing parts of the greeting. 9. The telephone system as in claim 8 , wherein the editor allows changing a color scheme of the greeting. | 0.5 |
7,571,099 | 1 | 6 | 1. A voice synthesis device, comprising: a memory unit operable to store, in advance for each voice quality, voice element information regarding a plurality of voice elements having the plural voice qualities that are different from each other; a voice information generating unit operable to acquire text data, and to generate, from plural pieces of the voice element information stored in said memory unit, synthetic voice information for each of the voice qualities, the synthetic voice information indicating synthetic voice having the voice quality which corresponds to a character that is included in the text data; a designating unit operable to place fixed points at N th dimensional coordinates for display where N is a natural number, the fixed points indicating voice quality of each piece of the voice element information stored in said memory unit, and to place plural set points at the coordinates for display on the basis of operation by a user so as to derive and designate a ratio at which changes each of plural pieces of the synthetic voice information which contributes to morphing along a time sequence on the basis of the placement of a moving point and the fixed points, the moving point continuously moving between the plural set points along the time sequence; a morphing unit operable to generate intermediate synthetic voice information using each of the plural pieces of synthetic voice information generated by said voice information generating unit with the ratio of change along the time sequence designated by said designating unit, the intermediate synthetic voice information indicating synthetic voice having intermediate voice quality, between the plural voice qualities, which corresponds to a character that is included in the text data; and a voice outputting unit operable to convert, to synthetic voice having the intermediate voice quality, the intermediate synthetic voice information generated by said morphing unit, and to output the resulting synthetic voice, wherein said voice information generating unit is operable to generate each of the plural pieces of synthetic voice information as a sequence of each of plural characteristic parameters, and said morphing unit is operable to generate the intermediate synthetic voice information by calculating an intermediate value of the plural characteristic parameters to which the plural pieces of synthetic voice information respectively correspond. | 1. A voice synthesis device, comprising: a memory unit operable to store, in advance for each voice quality, voice element information regarding a plurality of voice elements having the plural voice qualities that are different from each other; a voice information generating unit operable to acquire text data, and to generate, from plural pieces of the voice element information stored in said memory unit, synthetic voice information for each of the voice qualities, the synthetic voice information indicating synthetic voice having the voice quality which corresponds to a character that is included in the text data; a designating unit operable to place fixed points at N th dimensional coordinates for display where N is a natural number, the fixed points indicating voice quality of each piece of the voice element information stored in said memory unit, and to place plural set points at the coordinates for display on the basis of operation by a user so as to derive and designate a ratio at which changes each of plural pieces of the synthetic voice information which contributes to morphing along a time sequence on the basis of the placement of a moving point and the fixed points, the moving point continuously moving between the plural set points along the time sequence; a morphing unit operable to generate intermediate synthetic voice information using each of the plural pieces of synthetic voice information generated by said voice information generating unit with the ratio of change along the time sequence designated by said designating unit, the intermediate synthetic voice information indicating synthetic voice having intermediate voice quality, between the plural voice qualities, which corresponds to a character that is included in the text data; and a voice outputting unit operable to convert, to synthetic voice having the intermediate voice quality, the intermediate synthetic voice information generated by said morphing unit, and to output the resulting synthetic voice, wherein said voice information generating unit is operable to generate each of the plural pieces of synthetic voice information as a sequence of each of plural characteristic parameters, and said morphing unit is operable to generate the intermediate synthetic voice information by calculating an intermediate value of the plural characteristic parameters to which the plural pieces of synthetic voice information respectively correspond. 6. The voice synthesis device according to claim 1 , further comprising: an image storing unit operable to store, in advance for each of the voice quality, image information indicating an image which corresponds to each of the voice quality; an image morphing unit operable to generate, from a plural pieces of the image information, intermediate image information indicating an image which corresponds to each of the voice quality of the intermediate synthetic sound information; and a display unit operable to acquire the intermediate image information generated by said image morphing unit, and to display the image indicated by the intermediate image information in synchronization with the synthetic voice outputted from said voice outputting unit. | 0.61345 |
6,023,714 | 29 | 32 | 29. The computer-readable medium of claim 28, wherein the layout generator generates a style sheet component by selecting a style definition which defines a format value for a format property, the format value supported by the capability of the output device. | 29. The computer-readable medium of claim 28, wherein the layout generator generates a style sheet component by selecting a style definition which defines a format value for a format property, the format value supported by the capability of the output device. 32. The computer-readable medium of claim 29, wherein the output device is a display device, the format property is a text property, and the capability of the output device is a resolution, and wherein the layout generator generates a style sheet component by: if the resolution is within a first predetermined resolution range, then generating a style sheet definition which defines a text value for a high resolution display device; if the resolution is within a second predetermined resolution range, then generating a style definition which defines a text value for a medium resolution display device; and if the resolution is within a third predetermined resolution range, then generating a style definition which defines a text value for a low resolution display device. | 0.5 |
8,570,376 | 11 | 17 | 11. An apparatus for storing selected video segments for a person or a plurality of persons that visited an area covered by a plurality of means for capturing images, comprising: a) a plurality of means for capturing images for capturing a plurality of video streams of the person or the plurality of persons in the area, b) at least a means for video interface that is connected to the plurality of means for capturing images, c) at least a computer that executes computer vision algorithms on the plurality of video streams, performing the following steps of: finding information for the trip of the person or the plurality of persons based on track sequences calculated from tracking the person or the plurality of persons in video streams, determining a first set of video segments that contain the trip information of the person or the plurality of persons and a second set of video segments that do not contain the trip information of the person or the plurality of persons in each of the video streams, removing the second set of video segments from each of the video streams, selecting video segments from the first set of video segments based on predefined selection criteria, applying multi-layered spatiotemporal constraints to select the video segments, for the statistical behavior analysis, applying domain-specific sampling criteria to the selection of video segments, and compacting each of the video streams using the first set of video segments, after removing the second set of video segments from each of the video streams., d) at least a means for storing data that stores the selected video segments, and whereby the application of the multi-layered spatiotemporal constraints further reduces the size of the selected video segments. | 11. An apparatus for storing selected video segments for a person or a plurality of persons that visited an area covered by a plurality of means for capturing images, comprising: a) a plurality of means for capturing images for capturing a plurality of video streams of the person or the plurality of persons in the area, b) at least a means for video interface that is connected to the plurality of means for capturing images, c) at least a computer that executes computer vision algorithms on the plurality of video streams, performing the following steps of: finding information for the trip of the person or the plurality of persons based on track sequences calculated from tracking the person or the plurality of persons in video streams, determining a first set of video segments that contain the trip information of the person or the plurality of persons and a second set of video segments that do not contain the trip information of the person or the plurality of persons in each of the video streams, removing the second set of video segments from each of the video streams, selecting video segments from the first set of video segments based on predefined selection criteria, applying multi-layered spatiotemporal constraints to select the video segments, for the statistical behavior analysis, applying domain-specific sampling criteria to the selection of video segments, and compacting each of the video streams using the first set of video segments, after removing the second set of video segments from each of the video streams., d) at least a means for storing data that stores the selected video segments, and whereby the application of the multi-layered spatiotemporal constraints further reduces the size of the selected video segments. 17. The apparatus according to claim 11 , wherein the apparatus further comprises a computer for creating a trip-centered format that stores the compacted video streams with the first set of video segments based on the track sequences from the plurality of means for capturing images. | 0.699789 |
9,552,549 | 17 | 18 | 17. A system comprising: one or more computers and one or more storage devices storing instructions which are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving respective label scores determined by a neural network for at least two labels for at least one training example wherein at least one of the at least two labels for each training example is a positive label for the training example and at least one other of the at least two labels is a negative label for the training example; determining an error of the neural network based on a semantic ranking loss of the label scores, wherein the semantic ranking loss is determined according to: J = ∑ i = 1 n ∑ j = 1 c + ∑ k = 1 c - D ( y c + j , y c - k ) max ( 0 , ρ - x i W c + j + x i W c - k ) where W is a ranking function of the neural network, n is the number of training examples, x i is an ith training example, c+ is the number of positive labels for the training example x i , c− is the number of negative labels for the training example x i , ρ is a margin for hinge loss, y c+ j is the jth positive label, y c− k is kth negative label, D(y c+ j , y c− k ) is a function that evaluates the semantic distance between two labels, y c+ j and y c− k , x i W c+ j is the label score given to the jth positive label when the ranking function W is used to evaluate the training example x i , and x i W c− k is the label score given to the kth negative label when the ranking function W is used to evaluate the training example x i ; determining updated weights for the neural network based on a gradient of the determined error of the neural network; and applying the updated weights to the neural network to train the neural network. | 17. A system comprising: one or more computers and one or more storage devices storing instructions which are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving respective label scores determined by a neural network for at least two labels for at least one training example wherein at least one of the at least two labels for each training example is a positive label for the training example and at least one other of the at least two labels is a negative label for the training example; determining an error of the neural network based on a semantic ranking loss of the label scores, wherein the semantic ranking loss is determined according to: J = ∑ i = 1 n ∑ j = 1 c + ∑ k = 1 c - D ( y c + j , y c - k ) max ( 0 , ρ - x i W c + j + x i W c - k ) where W is a ranking function of the neural network, n is the number of training examples, x i is an ith training example, c+ is the number of positive labels for the training example x i , c− is the number of negative labels for the training example x i , ρ is a margin for hinge loss, y c+ j is the jth positive label, y c− k is kth negative label, D(y c+ j , y c− k ) is a function that evaluates the semantic distance between two labels, y c+ j and y c− k , x i W c+ j is the label score given to the jth positive label when the ranking function W is used to evaluate the training example x i , and x i W c− k is the label score given to the kth negative label when the ranking function W is used to evaluate the training example x i ; determining updated weights for the neural network based on a gradient of the determined error of the neural network; and applying the updated weights to the neural network to train the neural network. 18. The system of claim 17 , wherein D(y c+ j , y c− k ) is determined based on number of nodes traversed to travel between a leaf for the positive label y c+ j and a leaf for the negative label y c− k in a semantic tree. | 0.5 |
7,974,864 | 1 | 11 | 1. A system for managing business driven learning efforts to meet learning needs of a sales-based organization, the system comprising: a processor; and computer-readable medium encoding instructions for managing the business driven learning efforts, the instructions comprising modules of interrelated and interdependent business processes for execution by the processor, including: a business strategy alignment module configured to receive a request that identifies a first learning need related to a customer solution, and to accept the request or deny the request in view of recognized and prioritized learning needs of the sales-based organization; wherein the business strategy alignment module is further configured to select a learning approach to meet the first learning need, and wherein the customer solution comprises a group of products for meeting business needs of a customer of the sales-based organization, and a content management module configured to design, procure, and manage a first learning effort comprising information relating to an interplay of the products associated with the customer solution, wherein the first learning effort is based on the selected learning approach; a delivery module configured to coordinate delivery of learning solution resources for providing the first learning effort to members of the sales-based organization or departments within the sales-based organization across a plurality of training media; and a learning administration module configured to manage and track availability, delivery, and results of the first learning effort in relation to the members or the departments. | 1. A system for managing business driven learning efforts to meet learning needs of a sales-based organization, the system comprising: a processor; and computer-readable medium encoding instructions for managing the business driven learning efforts, the instructions comprising modules of interrelated and interdependent business processes for execution by the processor, including: a business strategy alignment module configured to receive a request that identifies a first learning need related to a customer solution, and to accept the request or deny the request in view of recognized and prioritized learning needs of the sales-based organization; wherein the business strategy alignment module is further configured to select a learning approach to meet the first learning need, and wherein the customer solution comprises a group of products for meeting business needs of a customer of the sales-based organization, and a content management module configured to design, procure, and manage a first learning effort comprising information relating to an interplay of the products associated with the customer solution, wherein the first learning effort is based on the selected learning approach; a delivery module configured to coordinate delivery of learning solution resources for providing the first learning effort to members of the sales-based organization or departments within the sales-based organization across a plurality of training media; and a learning administration module configured to manage and track availability, delivery, and results of the first learning effort in relation to the members or the departments. 11. The system according to claim 1 , wherein the request comprises an electronically submitted request. | 0.892116 |
8,407,578 | 17 | 19 | 17. A method for deploying a chemical web browser system, the method comprising: providing computer system, including the chemical web browser; providing a document system for obtaining and displaying a document containing at least one chemical name; and providing a chemical annotation system for identifying the at least one chemical name and associating a chemical structure with the identified chemical name, wherein the document system displays the chemical structure proximate to the identified chemical name from the document in the chemical web browser in response to selection of an annotate button displayed in the chemical web browser, and wherein the document system displays an alphanumeric character proximate to the identified chemical name in the chemical web browser in response to the selection of the annotate button displayed in the chemical web browser. | 17. A method for deploying a chemical web browser system, the method comprising: providing computer system, including the chemical web browser; providing a document system for obtaining and displaying a document containing at least one chemical name; and providing a chemical annotation system for identifying the at least one chemical name and associating a chemical structure with the identified chemical name, wherein the document system displays the chemical structure proximate to the identified chemical name from the document in the chemical web browser in response to selection of an annotate button displayed in the chemical web browser, and wherein the document system displays an alphanumeric character proximate to the identified chemical name in the chemical web browser in response to the selection of the annotate button displayed in the chemical web browser. 19. The method of claim 17 , wherein the chemical annotation system determines whether the at least one chemical name in the text is convertible to a valid chemical structure. | 0.5 |
8,356,041 | 12 | 13 | 12. A computer readable storage device comprising computer-executable instructions that when executed via a processor perform a method for assisting a user in generating a phrase, comprising: presenting at least two terms from a first group of terms; presenting at least one term from a second group of terms, where the presented at least one term is a function of a focused on term from the first group of terms, at least two terms from the first group of terms presented concurrently with the presentation of the at least one term from the second group of terms; and linking a term selected from the first group of terms with a term selected from the second group of terms to generate the phrase. | 12. A computer readable storage device comprising computer-executable instructions that when executed via a processor perform a method for assisting a user in generating a phrase, comprising: presenting at least two terms from a first group of terms; presenting at least one term from a second group of terms, where the presented at least one term is a function of a focused on term from the first group of terms, at least two terms from the first group of terms presented concurrently with the presentation of the at least one term from the second group of terms; and linking a term selected from the first group of terms with a term selected from the second group of terms to generate the phrase. 13. The computer readable storage device of claim 12 , the method comprising: receiving user input in a character entry field; and presenting the at least two terms from the first group of terms based upon the received user input; and inserting the generated phrase into the character entry field. | 0.5 |
7,856,438 | 1 | 3 | 1. A device Device (D) for semantic analysis of documents, comprising a computer device, a structural and semantic database (BD) and a document interpreter (ID) arranged so as to determine whether a document has a meaning, using said database, characterized in that the document interpreter (ID) comprises: an n-ary tree controller (GAN) arranged to construct a structural n-ary tree from a breakdown of a document which is to be analyzed into an ordered series of verbal entities and structural and/or semantic constraints selected from and defined in said database (BD), the structural n-ary tree comprising a root node formed by a primary governing verbal entity, and structures formed by a secondary subordinate verbal entity and attached either directly or indirectly to the root node by a link having at least one connectional characteristic, a secondary subordinate verbal entity being in turn capable of becoming a governing verbal entity, a semantic tree controller (GAS) arranged to determine, at least from the structural n-ary tree and the database (BD), categorizing entities of an object type and activity type, activated by certain nodes of the n-ary tree, for constructing a semantic tree provided with principal nodes made up of the categorizing entities of object and activity and linked by semantic relations arising from connectional characteristics of said n-ary tree and with which attributes are associated as a function of the characteristics of other nodes of the n-ary tree and their respective links; wherein the document interpreter (ID) comprises a binary tree controller (GAB) arranged to construct a structural binary tree from said breakdown of a document into an ordered series of verbal entities and structural and/or semantic constraints selected from and defined in said database (BD), the structural binary tree comprising leaves, each associated with a verbal entity of the series and constituting one of two son nodes attached to a father node, and a root node, constituting a father node and associated with all or some of the verbal entities in the series, and in that said n-ary tree controller (GAN) is arranged to construct each n-ary tree from a structural binary tree. | 1. A device Device (D) for semantic analysis of documents, comprising a computer device, a structural and semantic database (BD) and a document interpreter (ID) arranged so as to determine whether a document has a meaning, using said database, characterized in that the document interpreter (ID) comprises: an n-ary tree controller (GAN) arranged to construct a structural n-ary tree from a breakdown of a document which is to be analyzed into an ordered series of verbal entities and structural and/or semantic constraints selected from and defined in said database (BD), the structural n-ary tree comprising a root node formed by a primary governing verbal entity, and structures formed by a secondary subordinate verbal entity and attached either directly or indirectly to the root node by a link having at least one connectional characteristic, a secondary subordinate verbal entity being in turn capable of becoming a governing verbal entity, a semantic tree controller (GAS) arranged to determine, at least from the structural n-ary tree and the database (BD), categorizing entities of an object type and activity type, activated by certain nodes of the n-ary tree, for constructing a semantic tree provided with principal nodes made up of the categorizing entities of object and activity and linked by semantic relations arising from connectional characteristics of said n-ary tree and with which attributes are associated as a function of the characteristics of other nodes of the n-ary tree and their respective links; wherein the document interpreter (ID) comprises a binary tree controller (GAB) arranged to construct a structural binary tree from said breakdown of a document into an ordered series of verbal entities and structural and/or semantic constraints selected from and defined in said database (BD), the structural binary tree comprising leaves, each associated with a verbal entity of the series and constituting one of two son nodes attached to a father node, and a root node, constituting a father node and associated with all or some of the verbal entities in the series, and in that said n-ary tree controller (GAN) is arranged to construct each n-ary tree from a structural binary tree. 3. The device according to claim 1 , wherein the document interpreter (ID) comprises a semantic analyser (AS) arranged to determine the semantic compatibility relations between principal nodes of the object type and/or principal nodes of the activity type of at least one semantic tree. | 0.5 |
5,412,756 | 2 | 16 | 2. A software shell as claimed in claim 1 wherein the control module includes: an activation/agenda manager module, in communication with the at least one knowledge source module and the event detector module, executing the at least one knowledge source module in accordance with a predetermined knowledge source priority scheme. | 2. A software shell as claimed in claim 1 wherein the control module includes: an activation/agenda manager module, in communication with the at least one knowledge source module and the event detector module, executing the at least one knowledge source module in accordance with a predetermined knowledge source priority scheme. 16. A software shell as claimed in claim 2 wherein the event detector module includes a mechanism receiving blackboard input data and determining when knowledge source execution preconditions are met. | 0.81982 |
10,140,989 | 6 | 10 | 6. A method, comprising: assigning, using an instant messaging server (IMS), a unique identifier to speech information received from a sending end to serve as a speech ID; sending, using the IMS, the speech information to a receiving end; and in response to a determination that a speech recognition request issued from a user of the receiving end corresponding to the speech information is received: extracting, using the IMS, the speech ID corresponding to the speech information from the speech recognition request; looking up, using the IMS, the speech information; and delivering, using the IMS, a speech recognition command in the speech recognition request and the looked-up speech information to one of a speech recognition module, a speech recognition server, or a speech recognition server cluster; performing, using the one of the speech recognition module, the speech recognition server, or the speech recognition server cluster, speech recognition based on the speech information and the speech recognition command; converting, using the one of the speech recognition module, the speech recognition server, or the speech recognition server cluster, the speech information to obtain text information corresponding to the speech information, wherein the IMS obtains the text information from the one of the speech recognition module, the speech recognition server, or the speech recognition server cluster; sending, using a sending module, the obtained text information back as a speech recognition result to the receiving end, wherein the speech recognition module is set up in the one of the IMS, the speech recognition server, or the speech recognition server cluster; storing, using the IMS, the obtained text information in a cache in correspondence with the speech ID; and in response to a determination that another speech recognition request for the same speech information is received: extracting, using the IMS, a speech ID from the other speech recognition request; and locating, using the IMS, the text information corresponding to the speech ID from the other speech recognition request. | 6. A method, comprising: assigning, using an instant messaging server (IMS), a unique identifier to speech information received from a sending end to serve as a speech ID; sending, using the IMS, the speech information to a receiving end; and in response to a determination that a speech recognition request issued from a user of the receiving end corresponding to the speech information is received: extracting, using the IMS, the speech ID corresponding to the speech information from the speech recognition request; looking up, using the IMS, the speech information; and delivering, using the IMS, a speech recognition command in the speech recognition request and the looked-up speech information to one of a speech recognition module, a speech recognition server, or a speech recognition server cluster; performing, using the one of the speech recognition module, the speech recognition server, or the speech recognition server cluster, speech recognition based on the speech information and the speech recognition command; converting, using the one of the speech recognition module, the speech recognition server, or the speech recognition server cluster, the speech information to obtain text information corresponding to the speech information, wherein the IMS obtains the text information from the one of the speech recognition module, the speech recognition server, or the speech recognition server cluster; sending, using a sending module, the obtained text information back as a speech recognition result to the receiving end, wherein the speech recognition module is set up in the one of the IMS, the speech recognition server, or the speech recognition server cluster; storing, using the IMS, the obtained text information in a cache in correspondence with the speech ID; and in response to a determination that another speech recognition request for the same speech information is received: extracting, using the IMS, a speech ID from the other speech recognition request; and locating, using the IMS, the text information corresponding to the speech ID from the other speech recognition request. 10. The method as described in claim 6 , further comprising: in response to a determination that the speech recognition request is received from the receiving end: locating, using the IMS, the corresponding text information based on the speech ID. | 0.840439 |
8,824,785 | 1 | 5 | 1. A method of segregating handwritten information from typographic information on a document, the method comprising: receiving an electronic document image of a document, the electronic document image comprising a plurality of pixels, wherein each of the plurality of pixels comprises a characteristic of a plurality of characteristics; identifying a first, a second and a third most frequently occurring characteristic of the plurality of pixels, wherein the pixels of the plurality of pixels comprising the first most frequently occurring characteristic of the plurality of characteristics represent a background of the document; determining typographic information of the document, wherein the typographic information is represented by the pixels of the plurality of pixels of the electronic document image which comprise the second most frequently occurring characteristic of the plurality of characteristics; determining, by a processor, handwritten information of the document, wherein the handwritten information is represented by the pixels of the plurality of pixels of the electronic document image which comprise the third most frequently occurring characteristic of the plurality of characteristics; and deriving a first representation of the handwritten information and a second representation of the typographic information. | 1. A method of segregating handwritten information from typographic information on a document, the method comprising: receiving an electronic document image of a document, the electronic document image comprising a plurality of pixels, wherein each of the plurality of pixels comprises a characteristic of a plurality of characteristics; identifying a first, a second and a third most frequently occurring characteristic of the plurality of pixels, wherein the pixels of the plurality of pixels comprising the first most frequently occurring characteristic of the plurality of characteristics represent a background of the document; determining typographic information of the document, wherein the typographic information is represented by the pixels of the plurality of pixels of the electronic document image which comprise the second most frequently occurring characteristic of the plurality of characteristics; determining, by a processor, handwritten information of the document, wherein the handwritten information is represented by the pixels of the plurality of pixels of the electronic document image which comprise the third most frequently occurring characteristic of the plurality of characteristics; and deriving a first representation of the handwritten information and a second representation of the typographic information. 5. The method of claim 1 further comprising: determining a plurality of characters corresponding to the handwritten information; determining a document type corresponding to the typographic information; and providing the plurality of characters and an indication of the document type. | 0.5 |
9,990,441 | 1 | 3 | 1. A method comprising, by one or more computing devices: receiving, by one or more computing devices, from a client system of a first user of an online social network, an unstructured text query to search for posts of the online social network, the text query comprising one or more n-grams; parsing, by the one or more computing devices, the text query to identify one or more n-grams; searching, by the one or more computing devices, a personalized index of keyword phrases associated with the first user to identify one or more keyword phrases matching one or more of the n-grams of the text query, the index of keyword phrases being based on content extracted from posts authored by one or more second users of the online social network that have been viewed by the first user; calculating, by the one or more computing devices, a keyword score for each of the identified keyword phrases; generating, by the one or more computing devices, one or more user interface elements corresponding to one or more suggested queries, respectively, each suggested query comprising one or more n-grams identified from the text query and one or more identified keyword phrases having a keyword score greater than a threshold keyword score; and providing, by the one or more computing devices, to the client system of the first user in response to receiving the text query, instructions for displaying a user interface comprising one or more of the user interface elements corresponding to one or more of the suggested queries, respectively, to search for posts of the online social network. | 1. A method comprising, by one or more computing devices: receiving, by one or more computing devices, from a client system of a first user of an online social network, an unstructured text query to search for posts of the online social network, the text query comprising one or more n-grams; parsing, by the one or more computing devices, the text query to identify one or more n-grams; searching, by the one or more computing devices, a personalized index of keyword phrases associated with the first user to identify one or more keyword phrases matching one or more of the n-grams of the text query, the index of keyword phrases being based on content extracted from posts authored by one or more second users of the online social network that have been viewed by the first user; calculating, by the one or more computing devices, a keyword score for each of the identified keyword phrases; generating, by the one or more computing devices, one or more user interface elements corresponding to one or more suggested queries, respectively, each suggested query comprising one or more n-grams identified from the text query and one or more identified keyword phrases having a keyword score greater than a threshold keyword score; and providing, by the one or more computing devices, to the client system of the first user in response to receiving the text query, instructions for displaying a user interface comprising one or more of the user interface elements corresponding to one or more of the suggested queries, respectively, to search for posts of the online social network. 3. The method of claim 1 , further comprising generating the index of keyword phrases by extracting keyword phrases from a set of posts authored by one or more second users of the online social network. | 0.84812 |
7,849,439 | 2 | 3 | 2. The system of claim 1 wherein said received data is in a non-proprietary language. | 2. The system of claim 1 wherein said received data is in a non-proprietary language. 3. The system of claim 2 wherein said non-proprietary language comprises Extensible Markup Language (XML). | 0.5 |
8,190,422 | 3 | 6 | 3. A non-transitory computer readable media comprising instructions configured to cause one or more processors to execute a method for generating a semantic cognitive map, the method comprising: creating a semantic cognitive map by associating each of a multitude of dictionary entries with a point among a multitude of points in a metric space, each of the dictionary entries associated with at least one onym, the at least one onym including at least one synonym or antonym, the metric space having a topology and metrics, the location of each of the multitude of points defined by a global minimum of an energy function of the multitude of points. | 3. A non-transitory computer readable media comprising instructions configured to cause one or more processors to execute a method for generating a semantic cognitive map, the method comprising: creating a semantic cognitive map by associating each of a multitude of dictionary entries with a point among a multitude of points in a metric space, each of the dictionary entries associated with at least one onym, the at least one onym including at least one synonym or antonym, the metric space having a topology and metrics, the location of each of the multitude of points defined by a global minimum of an energy function of the multitude of points. 6. The media according to claim 3 , wherein the energy function is defined so that any pair of the multitude of points, the pair including a first point and a second point, the first point and the second point take opposing positions along the spatial dimension that characterizes the semantic relationship between the between the dictionary entry associated with the first point and the dictionary entry associated with the second point when the dictionary entry associated with the first point is an antonym of the dictionary entry associated with the second point. | 0.5 |
7,664,734 | 1 | 13 | 1. A computer-implemented method for generating multiple implicit search queries comprising: identifying a plurality of events responsive to monitoring real-time user interactions with a client device; identifying a plurality of user-context attributes based at least in part on the plurality of events, wherein the plurality of user-context attributes indicate aspects of the real-time user interactions with the client device; generating a plurality of implicit search queries comprising terms, wherein the terms are based at least in part on the plurality of user-context attributes; receiving a plurality of search results generated responsive to the plurality of implicit search queries; and updating a display of search results responsive to receiving the plurality of search results. | 1. A computer-implemented method for generating multiple implicit search queries comprising: identifying a plurality of events responsive to monitoring real-time user interactions with a client device; identifying a plurality of user-context attributes based at least in part on the plurality of events, wherein the plurality of user-context attributes indicate aspects of the real-time user interactions with the client device; generating a plurality of implicit search queries comprising terms, wherein the terms are based at least in part on the plurality of user-context attributes; receiving a plurality of search results generated responsive to the plurality of implicit search queries; and updating a display of search results responsive to receiving the plurality of search results. 13. The method of claim 1 , wherein the search results comprise a first search result set and updating a display of search results responsive to receiving the plurality of search results further comprises combining the first result set with a second result set, the second result set comprised of results from previously generated search queries. | 0.574939 |
7,716,199 | 27 | 39 | 27. A system comprising: one or more computers; a computer-readable medium coupled to the one or more computers having commands stored thereon which, when executed by the one or more computers, causes the one or more computers to perform operations comprising: receiving multiple context files from one or more third-party content providers, wherein each context file contains one or more commands for controlling an operation of the search engine in processing a search query input and in presenting search results, each context file is one of a plurality of predefined context files; receiving in a search engine the search query input, the search query input received from an interface provided by one of the third party content providers; aggregating the commands in the multiple context files into a set of aggregated commands; using the aggregated commands to control an organization and a presentation of the search results resulting from the processing of the search query input, including: processing the search query input using the aggregated commands to produce a context processed search query; generating context processed search results responsive to the context processed search query; and providing the context processed search results in accordance with the aggregated commands. | 27. A system comprising: one or more computers; a computer-readable medium coupled to the one or more computers having commands stored thereon which, when executed by the one or more computers, causes the one or more computers to perform operations comprising: receiving multiple context files from one or more third-party content providers, wherein each context file contains one or more commands for controlling an operation of the search engine in processing a search query input and in presenting search results, each context file is one of a plurality of predefined context files; receiving in a search engine the search query input, the search query input received from an interface provided by one of the third party content providers; aggregating the commands in the multiple context files into a set of aggregated commands; using the aggregated commands to control an organization and a presentation of the search results resulting from the processing of the search query input, including: processing the search query input using the aggregated commands to produce a context processed search query; generating context processed search results responsive to the context processed search query; and providing the context processed search results in accordance with the aggregated commands. 39. The system of claim 27 , further comprising: receiving the search query input and an accompanying context identifier identifying a first context file. | 0.784314 |
8,180,624 | 15 | 16 | 15. A decoding apparatus, comprising: a memory that retains instructions for receiving sequence data requiring sequence translation; front-loading an estimated future distortion penalty in translating a remainder of the sequence of data; creating a search space of possible next-phrase translations; reducing the search space based in part on the estimated future distortion penalty; and selecting a translation candidate for the sequence data; and a processor that is configured to execute the instructions within the memory. | 15. A decoding apparatus, comprising: a memory that retains instructions for receiving sequence data requiring sequence translation; front-loading an estimated future distortion penalty in translating a remainder of the sequence of data; creating a search space of possible next-phrase translations; reducing the search space based in part on the estimated future distortion penalty; and selecting a translation candidate for the sequence data; and a processor that is configured to execute the instructions within the memory. 16. The decoding apparatus of claim 15 , the memory further retains instruction for statistical machine translation. | 0.56391 |
4,679,951 | 25 | 30 | 25. An electronic system for typing symbolic language text material through identification of selected features thereof, wherein different graphic characters for said language may have similar identifying features, comprising: first storage means for receiving and storing a graphic character list and a permitted character pairing list for each graphic character, each said graphic character having an index code selectable by at least one specified identifier code; manually operable selector means corresponding to selected identifying features of graphic characters, said selector means being operable to produce an identifier code representing identified features of the character to be typed; means responsive to each said identifier code to call up the index codes and corresponding pairing lists of all graphic characters having the specified identifier code; means for displaying the graphic character or characters selected by said identifier code; and means for resolving ambiguities in the selection of said characters, whereby only the desired character or characters to be typed remains. | 25. An electronic system for typing symbolic language text material through identification of selected features thereof, wherein different graphic characters for said language may have similar identifying features, comprising: first storage means for receiving and storing a graphic character list and a permitted character pairing list for each graphic character, each said graphic character having an index code selectable by at least one specified identifier code; manually operable selector means corresponding to selected identifying features of graphic characters, said selector means being operable to produce an identifier code representing identified features of the character to be typed; means responsive to each said identifier code to call up the index codes and corresponding pairing lists of all graphic characters having the specified identifier code; means for displaying the graphic character or characters selected by said identifier code; and means for resolving ambiguities in the selection of said characters, whereby only the desired character or characters to be typed remains. 30. The system of claim 25, wherein symbolic language incorporates single words represented by two characters, said system further including: second storage means for receiving and storing the index codes and corresponding pairings list for first character of said two-character word; and third storage means for receiving and storing the index codes of said second character of said two-character word, wherein said means for resolving ambiguities comprises matching means for comparing said index codes in said third storage means with said pairings list in said second storage means to produce a list of possible character pairs for a two-character word having the identifying features selected by said selector means, and wherein said display means displays said list of possible character pairs. | 0.5 |
7,571,145 | 13 | 26 | 13. The method of claim 1 , wherein training the machine learning mechanism comprises training the machine learning mechanism based on information that was extracted from a search engine's analysis of search results that resulted from a web search query, wherein the information comprises at least one of: (a) a number of sites occurring within a specified set of search results that have been classified as adult sites, and (b) a number of links within a specified set of search results that have been classified as spam links. | 13. The method of claim 1 , wherein training the machine learning mechanism comprises training the machine learning mechanism based on information that was extracted from a search engine's analysis of search results that resulted from a web search query, wherein the information comprises at least one of: (a) a number of sites occurring within a specified set of search results that have been classified as adult sites, and (b) a number of links within a specified set of search results that have been classified as spam links. 26. A volatile or non-volatile computer-readable storage medium that stores instructions which, when executed by one or more processors, cause the one or more processors to perform the method of claim 13 . | 0.5 |
8,601,387 | 19 | 20 | 19. The computer-readable medium of claim 17 , wherein the search view links are substantially in the same location in each one of the views. | 19. The computer-readable medium of claim 17 , wherein the search view links are substantially in the same location in each one of the views. 20. The computer-readable medium of claim 19 , wherein the search view links are located vertically below one another. | 0.5 |
7,715,635 | 12 | 13 | 12. The computing device of claim 11 , wherein determining metrics for each identified paragraph further comprises, for each identified paragraph, determining the line height of the paragraph, the line height being the distance between the baselines of two consecutive lines of textual content. | 12. The computing device of claim 11 , wherein determining metrics for each identified paragraph further comprises, for each identified paragraph, determining the line height of the paragraph, the line height being the distance between the baselines of two consecutive lines of textual content. 13. The computing device of claim 12 , wherein determining metrics for each identified paragraph further comprises, for each identified paragraph, determining the level of hierarchical nesting of the textual content. | 0.5 |
8,570,376 | 1 | 4 | 1. A method for storing selected video segments for a person or a plurality of persons that visited an area covered by a plurality of means for capturing images using at least a computer that executes computer vision algorithms on a plurality of video streams, comprising the following steps of: a) finding information for the trip of the person or the plurality of persons based on track sequences calculated from tracking the person or the plurality of persons in video streams, b) determining a first set of video segments that contain the trip information of the person or the plurality of persons and a second set of video segments that do not contain the trip information of the person or the plurality of persons in each of the video streams, c) removing the second set of video segments from each of the video streams, d) selecting video segments from the first set of video segments based on predefined selection criteria, applying multi-layered spatiotemporal constraints to select the video segments, for the statistical behavior analysis e) applying domain-specific sampling criteria to the selection of video segments, and f) compacting each of the video streams using the first set of video segments, after removing the second set of video segments from each of the video streams, and whereby the application of the multi-layered spatiotemporal constraints further reduces the size of the selected video segments. | 1. A method for storing selected video segments for a person or a plurality of persons that visited an area covered by a plurality of means for capturing images using at least a computer that executes computer vision algorithms on a plurality of video streams, comprising the following steps of: a) finding information for the trip of the person or the plurality of persons based on track sequences calculated from tracking the person or the plurality of persons in video streams, b) determining a first set of video segments that contain the trip information of the person or the plurality of persons and a second set of video segments that do not contain the trip information of the person or the plurality of persons in each of the video streams, c) removing the second set of video segments from each of the video streams, d) selecting video segments from the first set of video segments based on predefined selection criteria, applying multi-layered spatiotemporal constraints to select the video segments, for the statistical behavior analysis e) applying domain-specific sampling criteria to the selection of video segments, and f) compacting each of the video streams using the first set of video segments, after removing the second set of video segments from each of the video streams, and whereby the application of the multi-layered spatiotemporal constraints further reduces the size of the selected video segments. 4. The method according to claim 1 , wherein the method further comprises a step of sampling the video segments based on rule-based sampling criteria, wherein the rule-based sampling criteria comprise a rule application module, and whereby the rule application module comprises information unit verification technologies. | 0.651087 |
8,082,242 | 21 | 22 | 21. A memory device to store instructions that are executable by a processor of a network device, the instructions comprising: one or more instructions to receive, independent of any search query and from a first user, a selection of one or more documents, where the one or more documents are used to form a plurality of custom content groups; one or more instructions to index the one or more documents to form a custom search index for each of the plurality of custom content groups, where each custom search index is different from a web search index and any other custom search index associated with the plurality of content groups; one or more instructions to receive, from a second, different user, a selection of one or more of the plurality of custom content groups; one or more instructions to receive, from a client device associated with the second user, a search query; one or more instructions to perform, based on the search query, a search of the web search index to identify web search results; one or more instructions to perform, based on the search query, a search of one or more of the custom search indexes associated with the selected one or more custom content groups to identify custom search results; one or more instructions to generate a search result document that includes the web search results, the custom search results, and a plurality of advertisements presented within at least a first area and a second area of the search result document, where the first area is distinct from the second area within the search result document, where the web search results and one or more of the custom search results are included within the first area, and where the advertisements and another one or more of the custom search results are included within the second area; and one or more instructions to provide, to the client device, the search result document. | 21. A memory device to store instructions that are executable by a processor of a network device, the instructions comprising: one or more instructions to receive, independent of any search query and from a first user, a selection of one or more documents, where the one or more documents are used to form a plurality of custom content groups; one or more instructions to index the one or more documents to form a custom search index for each of the plurality of custom content groups, where each custom search index is different from a web search index and any other custom search index associated with the plurality of content groups; one or more instructions to receive, from a second, different user, a selection of one or more of the plurality of custom content groups; one or more instructions to receive, from a client device associated with the second user, a search query; one or more instructions to perform, based on the search query, a search of the web search index to identify web search results; one or more instructions to perform, based on the search query, a search of one or more of the custom search indexes associated with the selected one or more custom content groups to identify custom search results; one or more instructions to generate a search result document that includes the web search results, the custom search results, and a plurality of advertisements presented within at least a first area and a second area of the search result document, where the first area is distinct from the second area within the search result document, where the web search results and one or more of the custom search results are included within the first area, and where the advertisements and another one or more of the custom search results are included within the second area; and one or more instructions to provide, to the client device, the search result document. 22. The device of claim 21 , where the one or more instructions to receive the selection of the one or more custom content groups further include: one or more instructions to determine at least one of the plurality of custom content groups that the second user is permitted to access, and one or more instructions to automatically select the at least one custom content group that the second user is permitted to access. | 0.66877 |
6,120,297 | 6 | 7 | 6. The method of claim 1, said method further comprising the step of: displaying a bonus clue requiring the student to use some part of the information previously displayed for the current target word, said clue offering answers for selection by the student, said bonus clue being displayed after a definition of the current target word and the answers to all the clues to the current target word have been displayed; and displaying the correct answer to the bonus clue without an explanation of that correct answer, if the answer selected by the student for the bonus clue was correct. | 6. The method of claim 1, said method further comprising the step of: displaying a bonus clue requiring the student to use some part of the information previously displayed for the current target word, said clue offering answers for selection by the student, said bonus clue being displayed after a definition of the current target word and the answers to all the clues to the current target word have been displayed; and displaying the correct answer to the bonus clue without an explanation of that correct answer, if the answer selected by the student for the bonus clue was correct. 7. The method of claim 6 wherein said predetermined number of answers is offered for said bonus clue. | 0.5 |
9,973,759 | 1 | 3 | 1. A method for three-dimensional or multi-view video encoding or decoding, the method comprising: receiving input data associated with a syntax element of a current block in a dependent view; conditionally determining context selection based on selected information associated with one or more neighboring blocks of the current block in a single direction depending on whether said one or more neighboring blocks are available; encoding or decoding the syntax element using context-based coding according to the context selection, wherein the selected information associated with said one or more neighboring blocks of the current block corresponds to the syntax element of said one or more neighboring blocks of the current block, and wherein said one or more neighboring blocks of the current block correspond to only an above or a left neighboring block, the syntax element associated with each block corresponds to a 1-bit flag, and the context-based coding corresponds to CABAC (Context Adaptive Binary Arithmetic Coding) having two contexts. | 1. A method for three-dimensional or multi-view video encoding or decoding, the method comprising: receiving input data associated with a syntax element of a current block in a dependent view; conditionally determining context selection based on selected information associated with one or more neighboring blocks of the current block in a single direction depending on whether said one or more neighboring blocks are available; encoding or decoding the syntax element using context-based coding according to the context selection, wherein the selected information associated with said one or more neighboring blocks of the current block corresponds to the syntax element of said one or more neighboring blocks of the current block, and wherein said one or more neighboring blocks of the current block correspond to only an above or a left neighboring block, the syntax element associated with each block corresponds to a 1-bit flag, and the context-based coding corresponds to CABAC (Context Adaptive Binary Arithmetic Coding) having two contexts. 3. The method of claim 1 , wherein said one or more neighboring blocks of the current block correspond to a left neighboring block, an above neighboring block, or both the left neighboring block and the above neighboring block of the current block. | 0.664865 |
8,676,732 | 28 | 33 | 28. The at least one non-transitory computer-readable storage medium of claim 27 , wherein obtaining the at least one concept semantically relevant to the first search query comprises: constructing a merged semantic network based on the reference semantic network and the target semantic network; identifying or generating a first concept in the merged semantic network, the first concept representing the user-specified search query; obtaining the at least one concept, including a second concept, semantically relevant to the first concept at least in part by synthesizing the second concept based on the first concept and at least one other concept in the merged semantic network. | 28. The at least one non-transitory computer-readable storage medium of claim 27 , wherein obtaining the at least one concept semantically relevant to the first search query comprises: constructing a merged semantic network based on the reference semantic network and the target semantic network; identifying or generating a first concept in the merged semantic network, the first concept representing the user-specified search query; obtaining the at least one concept, including a second concept, semantically relevant to the first concept at least in part by synthesizing the second concept based on the first concept and at least one other concept in the merged semantic network. 33. The at least one non-transitory computer-readable storage medium of claim 28 , wherein obtaining the at least one concept comprises: obtaining a plurality of concepts semantically relevant to the first concept; computing a score for one or more concepts in the plurality of concepts, wherein the score for a specific concept is indicative of the semantic relevance of the specific concept to the first concept; and selecting the at least one concept based on the scores computed for the one or more concepts. | 0.5 |
8,060,367 | 18 | 19 | 18. A method for matching a spoken location description with data associated with a feature that exists geographically within the coordinate location on the surface of the earth, the method comprising: determining a coordinate associated with a specific location; using one or more processors to choose an initial tile and a first grammar associated with the initial tile, the initial tile being substantially centered around the coordinate and defining an area on the surface of the earth and the defined area is a more or less symmetrical shape defined by a coordinate system and can have a spatially proximate relationship to other tiles, the grammar being associated with the initial tile and being derived from feature names of first level identifiers in the area defined by the initial tile and each first level identifier corresponding to a point on the surface of the earth; obtaining a spoken language description of a point within the specific location; using one or more processors to compare the point with the data associated with the feature, wherein the first grammar comprises an audio file associated with each of the feature names of the first level identifiers associated with the tile, and wherein the utterance corresponds to a feature from which the first grammar was derived if the spoken language description matches an audio file associated with the first grammar; querying a geocoding module with text associated with the feature, the text associated with the feature comprises a text representation of the audio file that matched the spoken language description; and providing information associated with the feature. | 18. A method for matching a spoken location description with data associated with a feature that exists geographically within the coordinate location on the surface of the earth, the method comprising: determining a coordinate associated with a specific location; using one or more processors to choose an initial tile and a first grammar associated with the initial tile, the initial tile being substantially centered around the coordinate and defining an area on the surface of the earth and the defined area is a more or less symmetrical shape defined by a coordinate system and can have a spatially proximate relationship to other tiles, the grammar being associated with the initial tile and being derived from feature names of first level identifiers in the area defined by the initial tile and each first level identifier corresponding to a point on the surface of the earth; obtaining a spoken language description of a point within the specific location; using one or more processors to compare the point with the data associated with the feature, wherein the first grammar comprises an audio file associated with each of the feature names of the first level identifiers associated with the tile, and wherein the utterance corresponds to a feature from which the first grammar was derived if the spoken language description matches an audio file associated with the first grammar; querying a geocoding module with text associated with the feature, the text associated with the feature comprises a text representation of the audio file that matched the spoken language description; and providing information associated with the feature. 19. The method of claim 18 , wherein the point includes one or more of a street address, an intersection, or a landmark. | 0.795918 |
9,767,255 | 36 | 40 | 36. A portable electronic device, comprising: touchscreen means for receiving an input from a user and displaying an output to the user; means for receiving a request from a healthcare professional to perform data entry directed to a patient file, the receiving the request comprising detecting, via the touchscreen means, a click in a text input field in which textual information can be entered via a virtual keyboard; means for displaying, on a region of the touchscreen means, a plurality of predefined suggestions as candidates for the data entry, wherein the predefined suggestions are customized for one of: the healthcare professional or the patient, wherein the plurality of predefined suggestions are previously hidden, and an appearance of the predefined suggestions is triggered in response to the detecting of the click in the text input field and without using the virtual keyboard, and wherein the displaying comprises: assigning a respective rank to each of the plurality of predefined suggestions according to a respective proximity of a plurality of medical devices to the portable electronic device, and displaying the plurality of predefined suggestions according to their respective ranks; means for detecting a selection of one of the plurality of predefined suggestions by detecting a touch of the region of the touchscreen means made by the healthcare professional; means for automatically entering the selected predefined suggestion as the data entry in the text input field without the use of the virtual keyboard; and means for programming a pulse generator according to a plurality of stimulation parameters to deliver an electrical stimulation therapy for a patient the stimulation parameters include one or more of: stimulation pulse amplitude, stimulation pulse frequency, stimulation pulse width, electrode polarity, and electrode combination. | 36. A portable electronic device, comprising: touchscreen means for receiving an input from a user and displaying an output to the user; means for receiving a request from a healthcare professional to perform data entry directed to a patient file, the receiving the request comprising detecting, via the touchscreen means, a click in a text input field in which textual information can be entered via a virtual keyboard; means for displaying, on a region of the touchscreen means, a plurality of predefined suggestions as candidates for the data entry, wherein the predefined suggestions are customized for one of: the healthcare professional or the patient, wherein the plurality of predefined suggestions are previously hidden, and an appearance of the predefined suggestions is triggered in response to the detecting of the click in the text input field and without using the virtual keyboard, and wherein the displaying comprises: assigning a respective rank to each of the plurality of predefined suggestions according to a respective proximity of a plurality of medical devices to the portable electronic device, and displaying the plurality of predefined suggestions according to their respective ranks; means for detecting a selection of one of the plurality of predefined suggestions by detecting a touch of the region of the touchscreen means made by the healthcare professional; means for automatically entering the selected predefined suggestion as the data entry in the text input field without the use of the virtual keyboard; and means for programming a pulse generator according to a plurality of stimulation parameters to deliver an electrical stimulation therapy for a patient the stimulation parameters include one or more of: stimulation pulse amplitude, stimulation pulse frequency, stimulation pulse width, electrode polarity, and electrode combination. 40. The portable electronic device of claim 36 , further comprising: means for analyzing an existing data content in the patient file: and means for recommending the predefined suggestions based on the analyzed content. | 0.763499 |
7,809,695 | 8 | 10 | 8. An information-retrieval system comprising: a plurality of databases; and a server for providing users access to one or more of the databases, the server including: means for defining and processing a query to generate results comprising documents that include content duplicative of content within one or more other documents within the results; duplicate-determination means for determining whether one or more documents within the results of the query include content duplicative of content within one or more other documents within the results, wherein the duplicate-determination means includes: means for comparing a first document signature for a first one of the documents within the results to a second document signature for a second one of the documents within the results, with each signature based on a plurality of terms and with corresponding positions within the corresponding document; means for comparing, respectively, first and second lengths and first and second temporal features of the first and second documents; means for comparing first and second hash values for the respective first and second documents, with each hash value based on features and positions of the features within its respective document; and wherein the duplicate-determination means is adapted to determine whether the first and second documents are duplicates in response to the results of the means for comparing hash values; means for controlling display of results of the query with at least one of the displayed results indicated as including content duplicative of content in one or more other documents within the results; and means for controlling output of results of the query to a printer or email transmission device, based on user selected options related to output of documents that include content duplicative of content of one or more other documents within the results. | 8. An information-retrieval system comprising: a plurality of databases; and a server for providing users access to one or more of the databases, the server including: means for defining and processing a query to generate results comprising documents that include content duplicative of content within one or more other documents within the results; duplicate-determination means for determining whether one or more documents within the results of the query include content duplicative of content within one or more other documents within the results, wherein the duplicate-determination means includes: means for comparing a first document signature for a first one of the documents within the results to a second document signature for a second one of the documents within the results, with each signature based on a plurality of terms and with corresponding positions within the corresponding document; means for comparing, respectively, first and second lengths and first and second temporal features of the first and second documents; means for comparing first and second hash values for the respective first and second documents, with each hash value based on features and positions of the features within its respective document; and wherein the duplicate-determination means is adapted to determine whether the first and second documents are duplicates in response to the results of the means for comparing hash values; means for controlling display of results of the query with at least one of the displayed results indicated as including content duplicative of content in one or more other documents within the results; and means for controlling output of results of the query to a printer or email transmission device, based on user selected options related to output of documents that include content duplicative of content of one or more other documents within the results. 10. The system of claim 8 , wherein each means comprises one or more sets of machine-executable instructions. | 0.900183 |
8,352,246 | 1 | 11 | 1. A computer-implemented method, comprising: accessing audio data; accessing information that indicates a first context, the first context being associated with the audio data; accessing at least one term; accessing information that indicates a second context, the second context being associated with the term; determining a similarity score that indicates a degree of similarity between the second context and the first context; adjusting a language model based on the accessed term and the determined similarity score to generate an adjusted language model, wherein the adjusted language model includes the accessed term and a weighting value assigned to the accessed term based on the similarity score, wherein the weighting value changes a probability for a transition between a first decision state in the language model and a second decision state in the language model; and performing speech recognition on the audio data using the adjusted language model to select one or more candidate transcriptions for a portion of the audio data. | 1. A computer-implemented method, comprising: accessing audio data; accessing information that indicates a first context, the first context being associated with the audio data; accessing at least one term; accessing information that indicates a second context, the second context being associated with the term; determining a similarity score that indicates a degree of similarity between the second context and the first context; adjusting a language model based on the accessed term and the determined similarity score to generate an adjusted language model, wherein the adjusted language model includes the accessed term and a weighting value assigned to the accessed term based on the similarity score, wherein the weighting value changes a probability for a transition between a first decision state in the language model and a second decision state in the language model; and performing speech recognition on the audio data using the adjusted language model to select one or more candidate transcriptions for a portion of the audio data. 11. The method of claim 1 , wherein the accessed term was recognized from a speech sequence and wherein the audio data is a continuation of the speech sequence. | 0.756839 |
8,489,623 | 5 | 8 | 5. A method comprising: receiving first input data; accessing an ontology for a data store, wherein the ontology comprises a plurality of object property types; determining whether the first input data matches one or more parser definitions that specify two or more parser sub-definitions, wherein each of the two or more parser sub-definitions specifies how to transform a portion of the first input data into a portion of modified input data that is compatible with a component of one of the object property types of the ontology for the data store; wherein each component is associated with a data type of data; using a matching one of the one or more parser sub-definitions, creating a property instance of the object property type that is associated with the matching one of the one or more parser sub-definitions, and storing the portion of the modified input data in a component of the property instance; wherein the method is performed by one or more computer systems. | 5. A method comprising: receiving first input data; accessing an ontology for a data store, wherein the ontology comprises a plurality of object property types; determining whether the first input data matches one or more parser definitions that specify two or more parser sub-definitions, wherein each of the two or more parser sub-definitions specifies how to transform a portion of the first input data into a portion of modified input data that is compatible with a component of one of the object property types of the ontology for the data store; wherein each component is associated with a data type of data; using a matching one of the one or more parser sub-definitions, creating a property instance of the object property type that is associated with the matching one of the one or more parser sub-definitions, and storing the portion of the modified input data in a component of the property instance; wherein the method is performed by one or more computer systems. 8. The method of claim 5 , wherein the one or more parser definitions are associated with one or more program code modules, wherein each of the program code modules comprises computer program code which when executed causes transforming the first input data into the modified input data. | 0.783886 |
8,543,396 | 1 | 3 | 1. A computer-implemented method, the computer-implemented method comprising: under control of one or more computing devices configured with specific computer-executable instructions, receiving audio data comprising speech; transcribing the speech, using a speech recognition engine, to generate a transcription comprising first text; determining a metric associated with the first text; selecting, based at least in part on the metric, an indicator of the metric; and causing presentation of the first text using the indicator of the metric. | 1. A computer-implemented method, the computer-implemented method comprising: under control of one or more computing devices configured with specific computer-executable instructions, receiving audio data comprising speech; transcribing the speech, using a speech recognition engine, to generate a transcription comprising first text; determining a metric associated with the first text; selecting, based at least in part on the metric, an indicator of the metric; and causing presentation of the first text using the indicator of the metric. 3. The computer-implemented method of claim 1 , wherein the audio data was received from a client device, and wherein causing presentation of the first text using the indicator of the metric comprises transmitting the first text to the client device. | 0.665775 |
9,020,951 | 11 | 12 | 11. A computer-implemented method, comprising: in response to a search query having a search term having a plurality of characters, determining a key for each character of the search term; building a data structure having a plurality of nodes based on the search term, each node representing one of characters in the search term, wherein the data structure includes at least two nodes corresponding to different characters that have an identical meaning under a current language locale; and traversing each of the nodes in the data structure to identify one or more postings lists of an index corresponding to the plurality of nodes of the data structure, including for each node of the data structure, identifying one or more equivalent characters based on the current language locale, wherein each node of the data structure is associated with a key presenting a collation of variance of different characters having an identical meaning in different language locales, wherein traversing each of the nodes in the data structure comprises: comparing keys of the equivalent characters with the key of the corresponding character in the search term, matching a first key of each node of the data structure against a second key of a corresponding character of the search term, removing an equivalent character having a key that does not match the key of the corresponding character in the search term, wherein remaining characters are used to identify the one or more postings lists in the index, and returning to the client one or more item identifiers obtained from the one or more postings list, the one or more item identifiers identifying one or more files that contain the variance of the search term represented by the data structure. | 11. A computer-implemented method, comprising: in response to a search query having a search term having a plurality of characters, determining a key for each character of the search term; building a data structure having a plurality of nodes based on the search term, each node representing one of characters in the search term, wherein the data structure includes at least two nodes corresponding to different characters that have an identical meaning under a current language locale; and traversing each of the nodes in the data structure to identify one or more postings lists of an index corresponding to the plurality of nodes of the data structure, including for each node of the data structure, identifying one or more equivalent characters based on the current language locale, wherein each node of the data structure is associated with a key presenting a collation of variance of different characters having an identical meaning in different language locales, wherein traversing each of the nodes in the data structure comprises: comparing keys of the equivalent characters with the key of the corresponding character in the search term, matching a first key of each node of the data structure against a second key of a corresponding character of the search term, removing an equivalent character having a key that does not match the key of the corresponding character in the search term, wherein remaining characters are used to identify the one or more postings lists in the index, and returning to the client one or more item identifiers obtained from the one or more postings list, the one or more item identifiers identifying one or more files that contain the variance of the search term represented by the data structure. 12. The method of claim 11 , further comprising presenting to a client one or more item identifiers obtained from the one or more postings list, the item identifiers identifying one or more files that contain the variance of the search term represented by the data structure. | 0.5 |
9,886,514 | 9 | 13 | 9. A method comprising: receiving a search query from a user; retrieving a plurality of citations, wherein content from each of the plurality of citations matches the search query and the plurality of citations cites a plurality of objects; generating a subject list that includes a plurality of subjects, wherein each of the plurality of subjects are connected to the user either directly or indirectly in an influence network of a user and each subject is a representation of a different user in the influence network; calculating an influence score for each of the plurality of subjects based at least on a distance on a path from the user to that subject in the influence network and each subject is a representation of a different user in the influence network; ranking the plurality of objects using a bias filter that includes ranking function based on at least the influence scores of the subjects of each matching citation, wherein the influence scores are obtained from the user's subject list for those citing subjects that are on the list; and selecting a subset of objects from the ranked plurality of objects as the search results for presentation to the user. | 9. A method comprising: receiving a search query from a user; retrieving a plurality of citations, wherein content from each of the plurality of citations matches the search query and the plurality of citations cites a plurality of objects; generating a subject list that includes a plurality of subjects, wherein each of the plurality of subjects are connected to the user either directly or indirectly in an influence network of a user and each subject is a representation of a different user in the influence network; calculating an influence score for each of the plurality of subjects based at least on a distance on a path from the user to that subject in the influence network and each subject is a representation of a different user in the influence network; ranking the plurality of objects using a bias filter that includes ranking function based on at least the influence scores of the subjects of each matching citation, wherein the influence scores are obtained from the user's subject list for those citing subjects that are on the list; and selecting a subset of objects from the ranked plurality of objects as the search results for presentation to the user. 13. The method of claim 9 , further comprising: calculating the influence score of a subject based on the one or more of: influence of the subject on and/or respect from the user and number and length of paths from the subject to the user in a user's influence network. | 0.5 |
8,863,474 | 1 | 4 | 1. A main work construction method for reinforced concrete building comprises the following steps: a) arranging at least one lifting platform and multiple lifting mechanisms on a surface layer of a permanent foundation; b) constructing a top story framework on said lifting mechanisms and said lifting platform, wherein constructing the top story framework comprises constructing a roof board directly on said lifting platform; c) lifting the top story framework by said lifting mechanisms off the surface layer of the permanent foundation; d) supporting the lifted top story framework by supporting devices, descending and resetting the lifting mechanisms to the surface layer of the permanent foundation, constructing a second top story framework on the lifting mechanisms and the lifting platform, and permanently connecting the top story framework with the second top story framework; wherein the second top story framework is positioned below the top story framework; e) lifting said top story framework and said second top story framework by the lifting mechanisms off the permanent foundation; wherein the lifting mechanisms and the lifting platform are commissioned and calibrated between step a) and step b), and said commissioning and calibration comprise the following steps: putting a commissioning heavy object on the lifting platform, preloading the lifting mechanisms, determining a whole construction height datum, weighing the commissioning heavy object, calculating a gravity center of load formed by the commissioning heavy object and the lifting platform and a load distribution, and preparing for lifting operation during construction; wherein lifting the top story framework by said lifting mechanisms off the surface layer of the permanent foundation comprises lifting the lifting platform by said lifting mechanisms off the surface layer of the permanent foundation. | 1. A main work construction method for reinforced concrete building comprises the following steps: a) arranging at least one lifting platform and multiple lifting mechanisms on a surface layer of a permanent foundation; b) constructing a top story framework on said lifting mechanisms and said lifting platform, wherein constructing the top story framework comprises constructing a roof board directly on said lifting platform; c) lifting the top story framework by said lifting mechanisms off the surface layer of the permanent foundation; d) supporting the lifted top story framework by supporting devices, descending and resetting the lifting mechanisms to the surface layer of the permanent foundation, constructing a second top story framework on the lifting mechanisms and the lifting platform, and permanently connecting the top story framework with the second top story framework; wherein the second top story framework is positioned below the top story framework; e) lifting said top story framework and said second top story framework by the lifting mechanisms off the permanent foundation; wherein the lifting mechanisms and the lifting platform are commissioned and calibrated between step a) and step b), and said commissioning and calibration comprise the following steps: putting a commissioning heavy object on the lifting platform, preloading the lifting mechanisms, determining a whole construction height datum, weighing the commissioning heavy object, calculating a gravity center of load formed by the commissioning heavy object and the lifting platform and a load distribution, and preparing for lifting operation during construction; wherein lifting the top story framework by said lifting mechanisms off the surface layer of the permanent foundation comprises lifting the lifting platform by said lifting mechanisms off the surface layer of the permanent foundation. 4. The main work construction method for reinforced concrete building of claim 1 , wherein said step b) further comprises the steps of: constructing top story vertical structural members among said lifting mechanisms and the lifting platform; wherein said step c) comprises the steps of: lifting the top story framework by one story; wherein said step d) comprises the steps of: constructing second top story vertical structural members among said lifting mechanisms, using the second top story vertical structural members as said supporting devices, and permanently connecting the second top story vertical structural members with the top story vertical structural members, and constructing a top story floor on the lifting platform; wherein said method also comprises: anchoring a lowest story framework to the permanent foundation. | 0.5 |
7,856,472 | 6 | 8 | 6. The method of claim 5 , and further comprising, utilizing the at least one window, displaying, in response to a second user interaction, the second additional information associated with the second message. | 6. The method of claim 5 , and further comprising, utilizing the at least one window, displaying, in response to a second user interaction, the second additional information associated with the second message. 8. The method of claim 6 , wherein the first additional information and the second additional information each includes a date and time. | 0.682243 |
8,229,402 | 4 | 5 | 4. The method as recited in claim 1 , wherein the meta descriptor language file comprises instructions for the generic parser how to binary parse a tag of a data file of the particular data format. | 4. The method as recited in claim 1 , wherein the meta descriptor language file comprises instructions for the generic parser how to binary parse a tag of a data file of the particular data format. 5. The method as recited in claim 4 , wherein the step of extracting meta data from the data file comprises the step of: locating and decoding fields in said data file, identified in said tag. | 0.5 |
9,013,485 | 9 | 10 | 9. A system, comprising: an input device; a display device; and a computer device that is configured to: receive data representing a query stroke, wherein the data representing the query stroke comprises trajectory data indicating a trajectory of the query stroke with respect to two degrees of freedom; access data representing a plurality of reference strokes, wherein the data representing each of the plurality of reference strokes comprises trajectory data indicating a trajectory of the reference stroke with respect to the two degrees of freedom and pose data for the reference stroke with respect to one or more other degrees of freedom; create a sequence of synthesized poses that follows the trajectory of the query stroke, wherein pose data for the synthesized poses is dependent, at least in part, on the data representing the plurality of reference strokes, the data representing the query stroke comprising data for fewer degrees of freedom than the data representing the reference strokes and fewer degrees of freedom than the data representing the sequence of synthesized poses; and output data representing the sequence of synthesized poses to the display device. | 9. A system, comprising: an input device; a display device; and a computer device that is configured to: receive data representing a query stroke, wherein the data representing the query stroke comprises trajectory data indicating a trajectory of the query stroke with respect to two degrees of freedom; access data representing a plurality of reference strokes, wherein the data representing each of the plurality of reference strokes comprises trajectory data indicating a trajectory of the reference stroke with respect to the two degrees of freedom and pose data for the reference stroke with respect to one or more other degrees of freedom; create a sequence of synthesized poses that follows the trajectory of the query stroke, wherein pose data for the synthesized poses is dependent, at least in part, on the data representing the plurality of reference strokes, the data representing the query stroke comprising data for fewer degrees of freedom than the data representing the reference strokes and fewer degrees of freedom than the data representing the sequence of synthesized poses; and output data representing the sequence of synthesized poses to the display device. 10. The system of claim 9 , wherein to said create the sequence of synthesized poses, the computer device is configured to: construct a feature vector for each of a plurality of samples of the query stroke, wherein the feature vector for each of the plurality of samples comprises trajectory data components that are dependent on trajectory data for one or more neighboring samples of the query stroke; compare the feature vector for each of the plurality of samples of the query stroke to feature vectors for a plurality of samples of one or more reference strokes; and identify a best neighbor feature vector for each of the plurality of samples of the query stroke from among the feature vectors for the plurality of samples of the one or more reference strokes. | 0.5 |
5,418,943 | 21 | 22 | 21. The method set forth in claim 14 wherein: an element of the compositional description defines one or more of the entities; and the step of automatically translating the first compositional description includes the step of including an expression by means of which the defined entities are located in the data base. | 21. The method set forth in claim 14 wherein: an element of the compositional description defines one or more of the entities; and the step of automatically translating the first compositional description includes the step of including an expression by means of which the defined entities are located in the data base. 22. The method set forth in claim 21 wherein: the element is a primitive; and the expression serves to locate one or more entities defined by the primitive. | 0.5 |
8,260,779 | 10 | 14 | 10. A clinical terminology services system providing a controlled medical vocabulary, said system comprising: an importer framework accessing an initial controlled medical vocabulary including at least one external terminology; a vocabulary management server including terminology modeler and mapper to process local clinical content represented by one or more clinical models including unstructured local clinical content, the terminology modeler and mapper including a text analyzer and extraction tool to extract and analyze the unstructured local clinical content using a text analyzer and extraction tool to generate one or more proposed terms, the vocabulary management server facilitating identifying one or more synonyms for the one or more proposed terms, placing the one or more synonyms into a queue to be added to the controlled medical vocabulary, and reviewing the one or more synonyms placed into the queue, the vocabulary management server adding the one or more synonyms to the controlled medical vocabulary with placement and relationship based on analyzing and extracting unstructured local clinical content to automatically map between the at least one external terminology and the local clinical content to supplement the controlled medical vocabulary with the local clinical content wherein the text analyzer and extraction tool extracts and analyzes unstructured local content by: ranking a granularity of a medical term; determining a popularity of a term; and evaluating a relationship to similar terms, wherein analyzing results in one or more proposals regarding where to place the local clinical content and representations of the local clinical content in the controlled medical vocabulary. | 10. A clinical terminology services system providing a controlled medical vocabulary, said system comprising: an importer framework accessing an initial controlled medical vocabulary including at least one external terminology; a vocabulary management server including terminology modeler and mapper to process local clinical content represented by one or more clinical models including unstructured local clinical content, the terminology modeler and mapper including a text analyzer and extraction tool to extract and analyze the unstructured local clinical content using a text analyzer and extraction tool to generate one or more proposed terms, the vocabulary management server facilitating identifying one or more synonyms for the one or more proposed terms, placing the one or more synonyms into a queue to be added to the controlled medical vocabulary, and reviewing the one or more synonyms placed into the queue, the vocabulary management server adding the one or more synonyms to the controlled medical vocabulary with placement and relationship based on analyzing and extracting unstructured local clinical content to automatically map between the at least one external terminology and the local clinical content to supplement the controlled medical vocabulary with the local clinical content wherein the text analyzer and extraction tool extracts and analyzes unstructured local content by: ranking a granularity of a medical term; determining a popularity of a term; and evaluating a relationship to similar terms, wherein analyzing results in one or more proposals regarding where to place the local clinical content and representations of the local clinical content in the controlled medical vocabulary. 14. The system of claim 10 , wherein the vocabulary management server processes at least one of local customer presentations and mappings. | 0.8125 |
5,455,901 | 1 | 2 | 1. A device for input of data comprising: a display for receiving input of data and for displaying said data; a field generator for generating a plurality of fields, each of said fields for receiving, and for being associated with, a respective block of said data; a data entry device for entering a respective block of said data in each of said plurality of fields in an original ink form; a translator for generating a translated form of each respective block of said data from said original ink form of said respective block of said data; a mode enabler for causing said display to display, in each of said fields, said respective block of data associated with said field in one of (a) a first display mode where said respective block of said data is in said original ink form and (b) a second display mode where said respective block of said data is in said translated form; a mode selector for selecting said display mode; and memory for retaining a respective block of said data in said original ink form whenever said respective block of said data is displayed in said second display mode. | 1. A device for input of data comprising: a display for receiving input of data and for displaying said data; a field generator for generating a plurality of fields, each of said fields for receiving, and for being associated with, a respective block of said data; a data entry device for entering a respective block of said data in each of said plurality of fields in an original ink form; a translator for generating a translated form of each respective block of said data from said original ink form of said respective block of said data; a mode enabler for causing said display to display, in each of said fields, said respective block of data associated with said field in one of (a) a first display mode where said respective block of said data is in said original ink form and (b) a second display mode where said respective block of said data is in said translated form; a mode selector for selecting said display mode; and memory for retaining a respective block of said data in said original ink form whenever said respective block of said data is displayed in said second display mode. 2. The device of claim 1 wherein said display comprises a display of a computer system. | 0.892593 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.