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9. The method of claim 7 , further comprising, in response to determining that the sorted matching queue is not empty, selecting a highest priority matching from the matchings in the sorted matching queue to generate the set of logical conclusions from ones of the logical statements corresponding to the highest priority matching, and conditionally adding the set of logical conclusions to a bag of statements, wherein using the set of logical conclusions to build the ontology-based RDF graph comprises converting the bag of statements to the ontology-based RDF graph. | 9. The method of claim 7 , further comprising, in response to determining that the sorted matching queue is not empty, selecting a highest priority matching from the matchings in the sorted matching queue to generate the set of logical conclusions from ones of the logical statements corresponding to the highest priority matching, and conditionally adding the set of logical conclusions to a bag of statements, wherein using the set of logical conclusions to build the ontology-based RDF graph comprises converting the bag of statements to the ontology-based RDF graph. 10. The method of claim 9 , further comprising searching for new matchings in response to determining that conditionally adding the set of logical conclusions to the bag of statements is successful. | 0.828259 |
1. A system comprising: a computer-readable memory storing executable instructions; and one or more processors in communication with the computer-readable memory, wherein the one or more processors are programmed by the executable instructions to at least: obtain a sequence of feature vectors, wherein the sequence of feature vectors represents at least a portion of a stream of audio data; generate a keyword score based at least partly on a likelihood that a particular feature vector of the sequence of feature vectors represents audio data corresponding to a keyword; generate a background score based at least partly on a likelihood that the particular feature vector represents audio data corresponding to background audio; determine that a difference between the keyword score and the background score is greater than differences associated with feature vectors preceding the particular feature vector in a subset of the sequence of feature vectors, wherein the particular feature vector is in a center of the subset; determine that the difference is greater than differences associated with feature vectors subsequent to the particular feature vector in the subset; and generate data indicating the particular feature vector corresponds to an end of the keyword. | 1. A system comprising: a computer-readable memory storing executable instructions; and one or more processors in communication with the computer-readable memory, wherein the one or more processors are programmed by the executable instructions to at least: obtain a sequence of feature vectors, wherein the sequence of feature vectors represents at least a portion of a stream of audio data; generate a keyword score based at least partly on a likelihood that a particular feature vector of the sequence of feature vectors represents audio data corresponding to a keyword; generate a background score based at least partly on a likelihood that the particular feature vector represents audio data corresponding to background audio; determine that a difference between the keyword score and the background score is greater than differences associated with feature vectors preceding the particular feature vector in a subset of the sequence of feature vectors, wherein the particular feature vector is in a center of the subset; determine that the difference is greater than differences associated with feature vectors subsequent to the particular feature vector in the subset; and generate data indicating the particular feature vector corresponds to an end of the keyword. 5. The system of claim 1 , wherein the executable instructions to generate the keyword score comprise instructions to generate the keyword score using a hidden Markov model of audio data that corresponds to the keyword, and wherein the executable instructions to generate the background score comprise instructions to generate the background score using a hidden Markov model of audio data that does not correspond to the keyword. | 0.5 |
11. The non-transitory computer-readable recording medium of claim 10 , further comprising producing a new distributed representation for the new sequence of items produced in the producing the new sequence of items. | 11. The non-transitory computer-readable recording medium of claim 10 , further comprising producing a new distributed representation for the new sequence of items produced in the producing the new sequence of items. 13. The non-transitory computer-readable recording medium of claim 11 , further comprising displaying a dominant member of each class based on the cosine distance between the word vector of a potential dominant member item and the class representative vector. | 0.904508 |
1. A method, comprising: allowing a user to specify trigger words; allowing the user to prepare an email message including adding a trigger word to indicate confidential previously presented nature of information being sent through a message or an attachment; detecting initiation of sending of the email message by detecting activation of a send function; scanning, by an email server, the email message including at least one of a message body and an attachment of the email message to determine whether the email message includes one or more of the trigger words which are indicated in a trigger word table, the trigger word table indicating that a message may be sensitive where the message comprises a message body and a message attachment and being created by the user previous to the email message preparation; alerting the user with a sound and a pop-up display message when the scanning determines that the email message includes one or more of the trigger words, the pop-up display message includes: a border surrounding that blinks, a message that the user is about to send the one or more of the trigger words determined as comprising confidential, proprietary or sensitive material in the trigger word table and, an email address of a recipient of the email message and corresponding locations of the one or more of the trigger words in the email message; wherein the pop-up display message further contains execution icons which allow the user to approve sending of the email message or to disapprove sending of the email message, wherein the trigger words are selected to stop sending of the email message determined as comprising confidential, proprietary or sensitive material, wherein the user is alerted directly when one or more of the trigger words are first found, wherein the alerting is triggered by an exact match with one or more of the trigger words, wherein the corresponding locations of the one or more of the trigger words determined to be included in the at least one of the message body and the attachment of the email message respectively identify the one or more of the trigger words as being located in one or more of a subject line, the message body and the attachment. | 1. A method, comprising: allowing a user to specify trigger words; allowing the user to prepare an email message including adding a trigger word to indicate confidential previously presented nature of information being sent through a message or an attachment; detecting initiation of sending of the email message by detecting activation of a send function; scanning, by an email server, the email message including at least one of a message body and an attachment of the email message to determine whether the email message includes one or more of the trigger words which are indicated in a trigger word table, the trigger word table indicating that a message may be sensitive where the message comprises a message body and a message attachment and being created by the user previous to the email message preparation; alerting the user with a sound and a pop-up display message when the scanning determines that the email message includes one or more of the trigger words, the pop-up display message includes: a border surrounding that blinks, a message that the user is about to send the one or more of the trigger words determined as comprising confidential, proprietary or sensitive material in the trigger word table and, an email address of a recipient of the email message and corresponding locations of the one or more of the trigger words in the email message; wherein the pop-up display message further contains execution icons which allow the user to approve sending of the email message or to disapprove sending of the email message, wherein the trigger words are selected to stop sending of the email message determined as comprising confidential, proprietary or sensitive material, wherein the user is alerted directly when one or more of the trigger words are first found, wherein the alerting is triggered by an exact match with one or more of the trigger words, wherein the corresponding locations of the one or more of the trigger words determined to be included in the at least one of the message body and the attachment of the email message respectively identify the one or more of the trigger words as being located in one or more of a subject line, the message body and the attachment. 8. The method as recited in claim 1 , wherein the scanning determines a type of the attachment and the attachment is converted into a text file for text scanning. | 0.514881 |
11. A system comprising: a processor programmed to initiate executable operations comprising: identifying at least one originating user input related to a conversation intended by the originating user to take place, the desired conversation including a first set of the plurality of participants, wherein the conversation is not pre-scheduled; identifying a subject of the conversation; monitoring, using a processor, information which corresponds to the subject of the conversation, the information obtained from at least one external news website; identifying that the information obtained from the at least one external news website includes a first contextual information that corresponds to the subject of the conversation; identifying, using the processor, at least one additional person not currently included in the first set of the plurality of the participants for the conversation but who is an expert for the first contextual information that corresponds the subject of the conversation, and indicating that the additional person is required to participate in the conversation as a condition for the at least one participant within the first set of the plurality of participants to participate in the conversation; monitoring, using the processor, at least a second contextual information of the at least one additional person and determining whether the at least one additional person is available to participate in the conversation; monitoring, using a processor, at least a third contextual information of the originating user and the first set of the plurality of participants, and the second contextual information for the at least one additional person, to determine whether it is presently appropriate for the conversation to take place; and when the third contextual information of the originating user and the first set of the plurality of participants and the second contextual information for the at least one additional person indicates that it is presently appropriate for the conversation to take place, using the processor, attempting to initiate the conversation. | 11. A system comprising: a processor programmed to initiate executable operations comprising: identifying at least one originating user input related to a conversation intended by the originating user to take place, the desired conversation including a first set of the plurality of participants, wherein the conversation is not pre-scheduled; identifying a subject of the conversation; monitoring, using a processor, information which corresponds to the subject of the conversation, the information obtained from at least one external news website; identifying that the information obtained from the at least one external news website includes a first contextual information that corresponds to the subject of the conversation; identifying, using the processor, at least one additional person not currently included in the first set of the plurality of the participants for the conversation but who is an expert for the first contextual information that corresponds the subject of the conversation, and indicating that the additional person is required to participate in the conversation as a condition for the at least one participant within the first set of the plurality of participants to participate in the conversation; monitoring, using the processor, at least a second contextual information of the at least one additional person and determining whether the at least one additional person is available to participate in the conversation; monitoring, using a processor, at least a third contextual information of the originating user and the first set of the plurality of participants, and the second contextual information for the at least one additional person, to determine whether it is presently appropriate for the conversation to take place; and when the third contextual information of the originating user and the first set of the plurality of participants and the second contextual information for the at least one additional person indicates that it is presently appropriate for the conversation to take place, using the processor, attempting to initiate the conversation. 12. The system of claim 11 , wherein monitoring, in real time, contextual information of the plurality of participants to determine whether it is presently appropriate for the conversation to take place comprises: automatically acquiring, for each of the plurality of participants, at least one attribute from an external information source or at least one attribute from a user input. | 0.587569 |
1. A method comprising: determining that one or more entities in visual content, which is displayed on a display of a processing system, are selected in accordance with an explicit scoping command from a user, the explicit scoping command identifying the one or more entities in the visual content to explicitly indicate a scope of an interaction between the user and the processing system; turning on speech understanding functionality of the processing system, using at least one processor of the processing system, in response to determining that the one or more entities are selected, the speech understanding functionality enabling the processing system to understand natural language requests; and automatically monitoring audio signals received via an audio interface of the processing system for speech requests from the user to be processed using the speech understanding functionality in response to determining that the one or more entities are selected. | 1. A method comprising: determining that one or more entities in visual content, which is displayed on a display of a processing system, are selected in accordance with an explicit scoping command from a user, the explicit scoping command identifying the one or more entities in the visual content to explicitly indicate a scope of an interaction between the user and the processing system; turning on speech understanding functionality of the processing system, using at least one processor of the processing system, in response to determining that the one or more entities are selected, the speech understanding functionality enabling the processing system to understand natural language requests; and automatically monitoring audio signals received via an audio interface of the processing system for speech requests from the user to be processed using the speech understanding functionality in response to determining that the one or more entities are selected. 7. The method of claim 1 , further comprising: automatically monitoring a tactile interface of the processing system to detect tactile commands from the user in response to determining that the one or more entities are selected. | 0.852717 |
9. A method for performing classification comprising: implementing a boosted classifier having a plurality of weak hypotheses that produce a classification, each of the plurality of weak hypotheses having at least one weight, using a hardware processor; receiving testing data; receiving at least one piece of training data subsequently to receiving the testing data; calculating corrective terms for correcting a sum of weights of correctly classified training data and a sum of weights of incorrectly classified training data for at least one of the plurality of weak hypotheses based on a change in weights for the at least one weight of other of the plurality of weak hypotheses; calculating the sum of weights of correctly classified training data and the sum of weights of incorrectly classified training data based on the corrective terms; modifying the at least one weight of at least one of the plurality of weak hypotheses in response to the at least one piece of training data based on the sum of weights to produce modified weights; classifying the testing data based on the modified weights to produce a classification; and indicating the classification of the testing data. | 9. A method for performing classification comprising: implementing a boosted classifier having a plurality of weak hypotheses that produce a classification, each of the plurality of weak hypotheses having at least one weight, using a hardware processor; receiving testing data; receiving at least one piece of training data subsequently to receiving the testing data; calculating corrective terms for correcting a sum of weights of correctly classified training data and a sum of weights of incorrectly classified training data for at least one of the plurality of weak hypotheses based on a change in weights for the at least one weight of other of the plurality of weak hypotheses; calculating the sum of weights of correctly classified training data and the sum of weights of incorrectly classified training data based on the corrective terms; modifying the at least one weight of at least one of the plurality of weak hypotheses in response to the at least one piece of training data based on the sum of weights to produce modified weights; classifying the testing data based on the modified weights to produce a classification; and indicating the classification of the testing data. 16. The method of claim 9 , further comprising determining whether to stop processing a piece of training data based on a margin associated with the piece of training data. | 0.832364 |
16. The computer-readable storage media recited in claim 9 , further comprising creating a second logical connection between a third digital object and the first or second digital object in response to a user input placing the third digital object proximate to the first or second digital object. | 16. The computer-readable storage media recited in claim 9 , further comprising creating a second logical connection between a third digital object and the first or second digital object in response to a user input placing the third digital object proximate to the first or second digital object. 17. The computer-readable storage media recited in claim 16 , further comprising modifying the graphical mashup in response to a user input removing one of the first, second, or third digital objects. | 0.871371 |
7. The system of claim 1 further comprising: an audio data processing unit receiving an audio input and generating a second set of words based on the audio input; and a words integrator to integrate the generated first set of words and the generated second set of words and generate an integrated set of words. | 7. The system of claim 1 further comprising: an audio data processing unit receiving an audio input and generating a second set of words based on the audio input; and a words integrator to integrate the generated first set of words and the generated second set of words and generate an integrated set of words. 8. The system of claim 7 further comprising a voice synthesizer unit communicatively coupled to the words integrator to generate an audio signal corresponding to the integrated set of words. | 0.872847 |
7. The method of claim 6 , wherein traffic streams are modified using Network Address Translation (NAT) techniques. | 7. The method of claim 6 , wherein traffic streams are modified using Network Address Translation (NAT) techniques. 8. The method of claim 7 , further comprising using a graphical user interface without the use of a programming or scripting language, and that is represented using a descriptive format that requires no programming or scripting language. | 0.88178 |
15. The A non-transitory computer readable medium storing machine readable instructions that when executed by a physical processor cause the physical processor to: store security events associated with network devices; store an actor category model including a plurality of levels arranged in a hierarchy and each level is associated with a subcategory for a category of the model; correlate security events with the actor category model, wherein to correlate the security events the at least one processor is to identify a user for each security event, determine the actor category model is applicable to the user for each security event and any of the security events associated with the user by matching the attribute for users in the actor category model with a user attribute of the user in a user data model, and identify a level in the actor category model associated with the user for each security event, wherein to identify the user for each security event, the processor determines an application associated with the security event, identifies an authenticator that provisions user accounts for the application, determines an account ID associated with the security event, and determines the user based on the authenticator and the account ID; and determines whether the security threat exists based on the correlating, wherein to determine whether the security threat exists, the at least one processor is to select a security rule for the identified level from a plurality of security rules, and determine whether the security threat exists by applying the selected security rule. | 15. The A non-transitory computer readable medium storing machine readable instructions that when executed by a physical processor cause the physical processor to: store security events associated with network devices; store an actor category model including a plurality of levels arranged in a hierarchy and each level is associated with a subcategory for a category of the model; correlate security events with the actor category model, wherein to correlate the security events the at least one processor is to identify a user for each security event, determine the actor category model is applicable to the user for each security event and any of the security events associated with the user by matching the attribute for users in the actor category model with a user attribute of the user in a user data model, and identify a level in the actor category model associated with the user for each security event, wherein to identify the user for each security event, the processor determines an application associated with the security event, identifies an authenticator that provisions user accounts for the application, determines an account ID associated with the security event, and determines the user based on the authenticator and the account ID; and determines whether the security threat exists based on the correlating, wherein to determine whether the security threat exists, the at least one processor is to select a security rule for the identified level from a plurality of security rules, and determine whether the security threat exists by applying the selected security rule. 17. The non-transitory computer readable medium of claim 15 , wherein the machine readable instructions, when executed by the processor cause the processor to: modify an attribute or a parent-child relationship in the actor category model; and store the modified actor category model in a data storage. | 0.553887 |
1. A method for providing a robot apparatus with a personality, the method comprising: obtaining, by a first device associated with a robotic apparatus, information from a second device, wherein the information relates to communication between a user and the second device containing personification indicators, and wherein the first device is configured to interact with the user; in response to obtaining the information, the first device processing that information to obtain data usable to modify the robotic apparatus so as to provide the robotic apparatus with a personality, wherein processing comprises accessing a cloud computing system and analyzing one or more data of the information selected from the group of (i) characters, (ii) word-choice, and (iii) sentence structure relating to the communication between the user and the second device; and based on the data, the first device modifying the robotic apparatus so as to provide the robotic apparatus with a personality. | 1. A method for providing a robot apparatus with a personality, the method comprising: obtaining, by a first device associated with a robotic apparatus, information from a second device, wherein the information relates to communication between a user and the second device containing personification indicators, and wherein the first device is configured to interact with the user; in response to obtaining the information, the first device processing that information to obtain data usable to modify the robotic apparatus so as to provide the robotic apparatus with a personality, wherein processing comprises accessing a cloud computing system and analyzing one or more data of the information selected from the group of (i) characters, (ii) word-choice, and (iii) sentence structure relating to the communication between the user and the second device; and based on the data, the first device modifying the robotic apparatus so as to provide the robotic apparatus with a personality. 9. The method of claim 1 , wherein the personality comprises: identifying indicators of a desired personality from the context of the communication between the user and the second device. | 0.581368 |
5. The computer implemented method of claim 1 , further comprising the steps of: (a) providing a display; (b) displaying said first source command on said display in response to said using said input device to select said first predetermined command and said first object; and (c) displaying said second source command on said display in response to said using said input device to select said second predetermined command and said second object. | 5. The computer implemented method of claim 1 , further comprising the steps of: (a) providing a display; (b) displaying said first source command on said display in response to said using said input device to select said first predetermined command and said first object; and (c) displaying said second source command on said display in response to said using said input device to select said second predetermined command and said second object. 6. The computer implemented method of claim 5 , wherein said first source command is different than said first predetermined command and wherein said second source command is different than said second predetermined command. | 0.922609 |
18. A non-transitory machine-readable storage medium according to claim 17 , the method further comprising: providing the decision tree for detecting the predetermined data, the decision tree comprising a plurality of states, each of said plurality of states being linked with at least one other state by a respective condition, an arrangement of linked states forming a plurality of paths in the tree; comparing the token types of the sequence of tokens to respective conditions in the decision tree to match the sequence of tokens to one or more paths in the tree; and detecting the predetermined data without using an epsilon reduction to take account of said at least one optional token type. | 18. A non-transitory machine-readable storage medium according to claim 17 , the method further comprising: providing the decision tree for detecting the predetermined data, the decision tree comprising a plurality of states, each of said plurality of states being linked with at least one other state by a respective condition, an arrangement of linked states forming a plurality of paths in the tree; comparing the token types of the sequence of tokens to respective conditions in the decision tree to match the sequence of tokens to one or more paths in the tree; and detecting the predetermined data without using an epsilon reduction to take account of said at least one optional token type. 20. A non-transitory machine-readable storage medium according to claim 18 , wherein the predetermined data is at least one of a physical address, an IP address, an e-mail address, a time, a day, a date, and a contact number. | 0.929215 |
1. A computer-readable storage medium comprising code representing instructions to cause a processor to: receive, from a user, a first selection indicating a predefined corpus of a plurality of objects, the plurality of objects being of a finite number; extract, from the plurality of objects, a plurality of all concepts that occur in the corpus, each concept from the plurality of all concepts being one or more of: a part of speech; a geographic region; a person; a group of persons; a business unit; an organization; an action; a process; a product; a service; a subject; or a category; receive, from the user, a second selection indicating a first concept and a second concept from the plurality of all concepts, wherein the first concept includes a seed concept and at least one related concept, and wherein the second concept includes a seed concept and at least one related concept; calculate a strength of a relationship between the first user-selected concept and the second user-selected concept, the relationship being based at least in part on a presence of both the first user-selected concept and the second user-selected concept in each of at least a first object and a second object in the corpus, the calculating including receiving, from a user, a proximity value for the first user-selected concept and the second user-selected concept, the proximity value being based at least in part on a number of words occurring between the first user-selected concept and the second user-selected concept within each object from the plurality of objects; and identify a third concept when the strength of the relationship exceeds a predetermined threshold, the third concept being the relationship between the first concept and the second concept, the predetermined threshold being based at least in part on a predetermined proximity threshold value, the predetermined proximity threshold value being based at least in part on a number of words between two concepts within an object. | 1. A computer-readable storage medium comprising code representing instructions to cause a processor to: receive, from a user, a first selection indicating a predefined corpus of a plurality of objects, the plurality of objects being of a finite number; extract, from the plurality of objects, a plurality of all concepts that occur in the corpus, each concept from the plurality of all concepts being one or more of: a part of speech; a geographic region; a person; a group of persons; a business unit; an organization; an action; a process; a product; a service; a subject; or a category; receive, from the user, a second selection indicating a first concept and a second concept from the plurality of all concepts, wherein the first concept includes a seed concept and at least one related concept, and wherein the second concept includes a seed concept and at least one related concept; calculate a strength of a relationship between the first user-selected concept and the second user-selected concept, the relationship being based at least in part on a presence of both the first user-selected concept and the second user-selected concept in each of at least a first object and a second object in the corpus, the calculating including receiving, from a user, a proximity value for the first user-selected concept and the second user-selected concept, the proximity value being based at least in part on a number of words occurring between the first user-selected concept and the second user-selected concept within each object from the plurality of objects; and identify a third concept when the strength of the relationship exceeds a predetermined threshold, the third concept being the relationship between the first concept and the second concept, the predetermined threshold being based at least in part on a predetermined proximity threshold value, the predetermined proximity threshold value being based at least in part on a number of words between two concepts within an object. 16. The computer-readable storage medium of claim 1 , further comprising code representing instructions to cause a processor to: define a plurality of concept pairs, each concept pair from the plurality of concept pairs including two concepts from the plurality of concepts; and calculate, for each concept pair from the plurality of concept pairs, a strength of a relationship based at least in part on a presence of that concept pair in the plurality of objects. | 0.561903 |
9. A system, comprising: an annotation engine comprising a processor configured to annotate one or more reviews with one or more applicable tags; and an aggregation engine comprising a processor configured to: aggregate annotations of reviews associated with a subject of interest to identify an applicable insight into the subject of interest; and publish the identified insight determined from reviews of the subject of interest on a page associated with the subject of interest, wherein the published insight comprises a selectable hyperlink to navigate to pages of one or more other subjects of interest on which the same insight is published. | 9. A system, comprising: an annotation engine comprising a processor configured to annotate one or more reviews with one or more applicable tags; and an aggregation engine comprising a processor configured to: aggregate annotations of reviews associated with a subject of interest to identify an applicable insight into the subject of interest; and publish the identified insight determined from reviews of the subject of interest on a page associated with the subject of interest, wherein the published insight comprises a selectable hyperlink to navigate to pages of one or more other subjects of interest on which the same insight is published. 11. The system of claim 9 , wherein to annotate one or more reviews with one or more applicable tags comprises to annotate a review with a tag if the review includes at least a threshold number of terms associated with the tag. | 0.543478 |
1. A method, comprising: accepting, at an audio receiver of an information handling device, voice input of a user; interpreting, using a processor, the voice input; thereafter receiving, at the audio receiver, partially repeated voice input of the user; dynamically determining, based upon the partially repeated voice input, that a result of the interpreting of the voice input was incorrect; identifying a correction for a result of the interpreting of the voice input based on the partially repeated voice input; and correcting, using the processor, the result of the interpreting of the voice input using the partially repeated voice input, wherein the corrective voice input does not include a predetermined voice command. | 1. A method, comprising: accepting, at an audio receiver of an information handling device, voice input of a user; interpreting, using a processor, the voice input; thereafter receiving, at the audio receiver, partially repeated voice input of the user; dynamically determining, based upon the partially repeated voice input, that a result of the interpreting of the voice input was incorrect; identifying a correction for a result of the interpreting of the voice input based on the partially repeated voice input; and correcting, using the processor, the result of the interpreting of the voice input using the partially repeated voice input, wherein the corrective voice input does not include a predetermined voice command. 2. The method of claim 1 , further comprising receiving the partially repeated voice input more than once. | 0.619247 |
1. A voice server, comprising a processor configured to perform operations including: authenticating a user based on a voice exemplar received by the voice server, wherein the voice server is in direct communication with an access device associated with the user; receiving voice inputs from the access device, converting the voice inputs into a user request, and sending the user request to a protocol server among a plurality of protocol servers, wherein each of the protocol servers is configured to communicate with a transaction server which is in direct communication with a plurality of legacy systems, the transaction server is configured to receive the user request and provide responsive information from the plurality of legacy systems based on the user request, each of the protocol servers includes an application programming interface server, and the transaction server includes an application programming interface client configured to communicate with each application programming interface server, providing a menu of operations associated with the plurality of legacy systems to the access device; and receiving the responsive information and formatting the responsive information into an output for the access device, including choosing from among a plurality of output formats comprising speech synthesized data and text data, wherein if the user request is a data-intensive request, the responsive information is not output via speech synthesized data, and wherein the data-intensive request comprises a request for service order details to be retrieved from the plurality of legacy systems. | 1. A voice server, comprising a processor configured to perform operations including: authenticating a user based on a voice exemplar received by the voice server, wherein the voice server is in direct communication with an access device associated with the user; receiving voice inputs from the access device, converting the voice inputs into a user request, and sending the user request to a protocol server among a plurality of protocol servers, wherein each of the protocol servers is configured to communicate with a transaction server which is in direct communication with a plurality of legacy systems, the transaction server is configured to receive the user request and provide responsive information from the plurality of legacy systems based on the user request, each of the protocol servers includes an application programming interface server, and the transaction server includes an application programming interface client configured to communicate with each application programming interface server, providing a menu of operations associated with the plurality of legacy systems to the access device; and receiving the responsive information and formatting the responsive information into an output for the access device, including choosing from among a plurality of output formats comprising speech synthesized data and text data, wherein if the user request is a data-intensive request, the responsive information is not output via speech synthesized data, and wherein the data-intensive request comprises a request for service order details to be retrieved from the plurality of legacy systems. 5. The voice server of claim 1 , wherein the processor is further configured to convert text to speech. | 0.525867 |
1. A computer-readable storage medium containing a program which, when executed by a processor, performs operations for managing execution of an analysis routine on input data, the operations comprising: receiving input; receiving user-selection of an analysis routine for processing the received input; wherein the analysis routine is defined by at least one abstract rule set having one or more abstract rules each having a conditional statement and a consequential statement; wherein the consequential statement defines a particular recommendation that is returned when the conditional statement is satisfied; wherein the conditional statement and the consequential statement are defined using logical field definitions defined in an abstraction model that models underlying physical data, wherein the logical field definitions each specify at least a logical field name and an access method mapping the logical field name to corresponding underlying physical data; and executing the analysis routine on the received input, comprising: identifying all required inputs for each abstract rule of the analysis routine; determining whether the received input includes data for all required inputs; and if the received input does not include data for one or more of the required inputs, retrieving suitable data for the one or more of the required inputs from a database. | 1. A computer-readable storage medium containing a program which, when executed by a processor, performs operations for managing execution of an analysis routine on input data, the operations comprising: receiving input; receiving user-selection of an analysis routine for processing the received input; wherein the analysis routine is defined by at least one abstract rule set having one or more abstract rules each having a conditional statement and a consequential statement; wherein the consequential statement defines a particular recommendation that is returned when the conditional statement is satisfied; wherein the conditional statement and the consequential statement are defined using logical field definitions defined in an abstraction model that models underlying physical data, wherein the logical field definitions each specify at least a logical field name and an access method mapping the logical field name to corresponding underlying physical data; and executing the analysis routine on the received input, comprising: identifying all required inputs for each abstract rule of the analysis routine; determining whether the received input includes data for all required inputs; and if the received input does not include data for one or more of the required inputs, retrieving suitable data for the one or more of the required inputs from a database. 8. The computer-readable storage medium of claim 1 , wherein executing the analysis routine on the received input further comprises: identifying data values for all required inputs from the received input and the retrieved suitable data; and running the analysis routine on the identified data values. | 0.520251 |
2. The method of claim 1 , wherein said one or more input features and said one or more output features are extracted from one or more of input data, output data, execution data and provenance data of said workflow. | 2. The method of claim 1 , wherein said one or more input features and said one or more output features are extracted from one or more of input data, output data, execution data and provenance data of said workflow. 3. The method of claim 2 , wherein said one or more input features and said one or more output features comprise features from within one or more files referenced by said provenance data. | 0.955869 |
4. The non-transitory computer-readable medium of claim 3 , wherein the application includes input controls for accessing a plurality of user interface windows and for entering information in a database. | 4. The non-transitory computer-readable medium of claim 3 , wherein the application includes input controls for accessing a plurality of user interface windows and for entering information in a database. 7. The non-transitory computer-readable medium of claim 4 , wherein the action includes presenting a user interface window of the plurality of user interface windows in a display operably coupled with the computing device. | 0.94223 |
3. The skyline query apparatus for performing a skyline query of claim 1 , wherein the data comprise at least one attribute having ordered values, and the processor is further configured to determine a leaf node of the quad tree, to which the data will belong, by splitting a space, which has the number of the attributes of the data indicated by the criteria contained in the skyline query as a dimension, once or more according to location of points represented by the data in the space. | 3. The skyline query apparatus for performing a skyline query of claim 1 , wherein the data comprise at least one attribute having ordered values, and the processor is further configured to determine a leaf node of the quad tree, to which the data will belong, by splitting a space, which has the number of the attributes of the data indicated by the criteria contained in the skyline query as a dimension, once or more according to location of points represented by the data in the space. 8. The skyline query apparatus for performing a skyline query of claim 3 , wherein in response to the type of the skyline query being determined to be the reverse skyline query, the processor is further configured to generate a quad tree for each of spaces split based on the point represented by the skyline query. | 0.882757 |
5. A non-transitory computer readable storage medium having computer-readable program code stored thereon for causing a computer system to perform a method for using a graph database of a virtualization infrastructure, the method comprising: receiving a query related to the virtualization infrastructure, wherein the virtualization infrastructure is mapped into a social network comprising human members and non-human members, wherein the human members of the social network comprise users corresponding to entities of the virtualization infrastructure and groups of users, wherein the non-human members of the social network comprise components of the virtualization infrastructure, and wherein the components of the virtualization infrastructure comprise a host computing system and a virtual machine hosted by the host computing system, wherein the query is sent through the social network of the virtualization infrastructure, wherein the query is received at a user of the social network associated with the graph database, and wherein the query identifies at least one of: a type of member of the virtualization infrastructure and a type of relationship of the virtualization infrastructure; accessing the graph database populated with the members and relationships of the social network of the virtualization infrastructure, the graph database comprising nodes associated with the members of the virtualization infrastructure and edges associated with the relationships of the members of the virtualization infrastructure, wherein the nodes and the relationships comprise types, wherein the graph database is based on the social network of the virtualization infrastructure, and wherein the relationships of the members are in accordance with an inventory structure of the virtualization infrastructure, wherein the entities of the virtualization infrastructure comprises at least one host computing system, and at least one virtual machine hosted by the at least one host computing system; retrieving an answer to the query from the graph database; and transmitting the answer over the social network from the user of the social network associated with the graph database to a user of the social network associated with a source of the query. | 5. A non-transitory computer readable storage medium having computer-readable program code stored thereon for causing a computer system to perform a method for using a graph database of a virtualization infrastructure, the method comprising: receiving a query related to the virtualization infrastructure, wherein the virtualization infrastructure is mapped into a social network comprising human members and non-human members, wherein the human members of the social network comprise users corresponding to entities of the virtualization infrastructure and groups of users, wherein the non-human members of the social network comprise components of the virtualization infrastructure, and wherein the components of the virtualization infrastructure comprise a host computing system and a virtual machine hosted by the host computing system, wherein the query is sent through the social network of the virtualization infrastructure, wherein the query is received at a user of the social network associated with the graph database, and wherein the query identifies at least one of: a type of member of the virtualization infrastructure and a type of relationship of the virtualization infrastructure; accessing the graph database populated with the members and relationships of the social network of the virtualization infrastructure, the graph database comprising nodes associated with the members of the virtualization infrastructure and edges associated with the relationships of the members of the virtualization infrastructure, wherein the nodes and the relationships comprise types, wherein the graph database is based on the social network of the virtualization infrastructure, and wherein the relationships of the members are in accordance with an inventory structure of the virtualization infrastructure, wherein the entities of the virtualization infrastructure comprises at least one host computing system, and at least one virtual machine hosted by the at least one host computing system; retrieving an answer to the query from the graph database; and transmitting the answer over the social network from the user of the social network associated with the graph database to a user of the social network associated with a source of the query. 6. The non-transitory computer readable storage medium of claim 5 , wherein the query is received at a virtualization infrastructure manager. | 0.575521 |
1. A speech processing system receiving an input related to one of speech and text and process the input to provide an output related to one of speech and text, the speech processing system comprising: a module derived from a phone set having a plurality of phones for a tonal language, wherein the tonal language comprises a plurality of different tones with different levels of pitch, the phones being used to model syllables used in the module, the syllables having an initial part and a final part, wherein at least some of the syllables of the tonal language include a glide, the glide being embodied in the initial part, and wherein the final part comprises a first temporal portion corresponding to a first relative pitch and a second temporal portion corresponding to a second relative pitch, wherein the first portion and the second portion jointly and implicitly carry tonal information, and wherein the different levels of pitch comprise at least two discrete categorical levels, and wherein each portion has a discrete categorical level associated with it; and a processor configured to receive an input related to one of speech and text and access the module to process the input to provide an output related to one of speech and text. | 1. A speech processing system receiving an input related to one of speech and text and process the input to provide an output related to one of speech and text, the speech processing system comprising: a module derived from a phone set having a plurality of phones for a tonal language, wherein the tonal language comprises a plurality of different tones with different levels of pitch, the phones being used to model syllables used in the module, the syllables having an initial part and a final part, wherein at least some of the syllables of the tonal language include a glide, the glide being embodied in the initial part, and wherein the final part comprises a first temporal portion corresponding to a first relative pitch and a second temporal portion corresponding to a second relative pitch, wherein the first portion and the second portion jointly and implicitly carry tonal information, and wherein the different levels of pitch comprise at least two discrete categorical levels, and wherein each portion has a discrete categorical level associated with it; and a processor configured to receive an input related to one of speech and text and access the module to process the input to provide an output related to one of speech and text. 3. The speech processing system of claim 1 wherein the different levels of pitch comprise five categorical levels, and wherein each portion has a discrete categorical level associated with it. | 0.506907 |
14. A system in accordance with claim 13 wherein the main server is configured to provide, to the workstation, an interface which an administrator can use to create a screening rule by defining a question for the intake form, by providing different potential answers to the question, and by providing different scores for the respective different potential answers. | 14. A system in accordance with claim 13 wherein the main server is configured to provide, to the workstation, an interface which an administrator can use to create a screening rule by defining a question for the intake form, by providing different potential answers to the question, and by providing different scores for the respective different potential answers. 15. A system in accordance with claim 14 wherein an administrator can use the interface to define the question by specifying a question name and by choosing a question type from a plurality of predetermined possible types, the question appearing on the intake form. | 0.909644 |
1. A method of communication comprising: receiving an audio message from a caller to a recipient; transcribing the audio voice message to produce text; providing a text message including the text and a link comprising information that links to a conversion system capable of converting speech to text and an identifier indicating a destination for a reply message, such that when the recipient selects the link, the recipient is connected to the conversion system to speak the reply message that is automatically transcribed into a reply text message and provided to the destination associated with the identifier; and transmitting the text message to a mobile device of the recipient. | 1. A method of communication comprising: receiving an audio message from a caller to a recipient; transcribing the audio voice message to produce text; providing a text message including the text and a link comprising information that links to a conversion system capable of converting speech to text and an identifier indicating a destination for a reply message, such that when the recipient selects the link, the recipient is connected to the conversion system to speak the reply message that is automatically transcribed into a reply text message and provided to the destination associated with the identifier; and transmitting the text message to a mobile device of the recipient. 9. The method of claim 1 , wherein the destination associated with the identifier is a telephone number of the caller. | 0.785301 |
1. A computer-implemented method for reporting a performance score for a Web page, comprising computer-implemented operations of: sending, by a Web browser tool on a first computing system a request to a second computing system to load data from the Web page, such that the first computing system causes the second computing system to respond by sending the data to load the Web page in the Web browser tool of the first computing system; heuristically calculating a performance sub-score for each of a plurality of Web page performance metrics; combining said performance sub-scores to produce at least one interpretable Web page performance score; and compiling and outputting a report of the at least one interpretable Web page performance score. | 1. A computer-implemented method for reporting a performance score for a Web page, comprising computer-implemented operations of: sending, by a Web browser tool on a first computing system a request to a second computing system to load data from the Web page, such that the first computing system causes the second computing system to respond by sending the data to load the Web page in the Web browser tool of the first computing system; heuristically calculating a performance sub-score for each of a plurality of Web page performance metrics; combining said performance sub-scores to produce at least one interpretable Web page performance score; and compiling and outputting a report of the at least one interpretable Web page performance score. 2. The method according to claim 1 , wherein the method is implemented in real time. | 0.562053 |
1. A computer system, comprising: one or more processors; and one or more computer storage devices having stored thereon computer executable instructions that, when executed by the one or more processors, implement a method for retrieving information in a second programming language based on a request for information in a first programming language, the method comprising: the computer system receiving user input from a user in the form of a request for information, wherein the request for information comprises one or more first search terms in the form of a first programming language that is familiar to the user, including one or more search terms that have been employed over time by the user; the computer system parsing the user input into parsed strings to facilitate the request for information; the computer system mapping the parsed strings to semantically equivalent strings in a second programming language in view of one or more functional objects that include vocabulary and terminology of the first programming language that has been modeled from past user patterns when requesting information, wherein the one or more functional objects are associated with a decision-theoretic analysis that includes analyzing extrinsic evidence or data of a user's present context state and directing information in accordance with the data; the computer system generating one or more second search terms in the form of the second programming language, wherein the one or more second search terms are semantically equivalent to the one or more first search terms; the computer system requesting information from one or more databases based upon the one or more second search terms; and the computer system providing one or more results of the request to the user, wherein the results comprise at least one result including terms in the form of the second programming language. | 1. A computer system, comprising: one or more processors; and one or more computer storage devices having stored thereon computer executable instructions that, when executed by the one or more processors, implement a method for retrieving information in a second programming language based on a request for information in a first programming language, the method comprising: the computer system receiving user input from a user in the form of a request for information, wherein the request for information comprises one or more first search terms in the form of a first programming language that is familiar to the user, including one or more search terms that have been employed over time by the user; the computer system parsing the user input into parsed strings to facilitate the request for information; the computer system mapping the parsed strings to semantically equivalent strings in a second programming language in view of one or more functional objects that include vocabulary and terminology of the first programming language that has been modeled from past user patterns when requesting information, wherein the one or more functional objects are associated with a decision-theoretic analysis that includes analyzing extrinsic evidence or data of a user's present context state and directing information in accordance with the data; the computer system generating one or more second search terms in the form of the second programming language, wherein the one or more second search terms are semantically equivalent to the one or more first search terms; the computer system requesting information from one or more databases based upon the one or more second search terms; and the computer system providing one or more results of the request to the user, wherein the results comprise at least one result including terms in the form of the second programming language. 7. The computer system of claim 1 , wherein the at least one result comprises a technical document, further comprising: the computer system displaying a graphical user interface that provides at least one user interface control that permits the user to determine a relevance value for the technical document which was retrieved based on the user's request for information. | 0.505515 |
9. A system for enhancing a speech sound, said system comprising: a feature detector configured to: identify a first consonant-vowel (CV) speech sound from among a plurality of CV sounds; identify a second CV speech sound, that is different than the first CV speech sound, from among the plurality of CV sounds; locate, in a speech signal, a first feature that at least partially encodes the first speech sound, wherein the first feature includes a first time value and a first frequency value that together locate the first feature within the first speech sound; locate a second feature within the second speech sound, the second feature at least partially encoding the second speech sound, wherein the second feature includes a second time value and a second frequency value that together locate the second feature within the second speech sound and that are different than the first time value and the first frequency value, respectively; a speech enhancer configured to enhance said speech signal by modifying, based on the first time value and the first frequency value, a contribution of the first feature to the first speech sound, and modifying, based on the second time value and the second frequency value, a contribution of the second feature to the second speech sound based on the second time value and the second frequency value; and an output to provide the enhanced speech signal to a listener. | 9. A system for enhancing a speech sound, said system comprising: a feature detector configured to: identify a first consonant-vowel (CV) speech sound from among a plurality of CV sounds; identify a second CV speech sound, that is different than the first CV speech sound, from among the plurality of CV sounds; locate, in a speech signal, a first feature that at least partially encodes the first speech sound, wherein the first feature includes a first time value and a first frequency value that together locate the first feature within the first speech sound; locate a second feature within the second speech sound, the second feature at least partially encoding the second speech sound, wherein the second feature includes a second time value and a second frequency value that together locate the second feature within the second speech sound and that are different than the first time value and the first frequency value, respectively; a speech enhancer configured to enhance said speech signal by modifying, based on the first time value and the first frequency value, a contribution of the first feature to the first speech sound, and modifying, based on the second time value and the second frequency value, a contribution of the second feature to the second speech sound based on the second time value and the second frequency value; and an output to provide the enhanced speech signal to a listener. 16. The system of claim 9 , wherein each of the first speech sound and the second speech sound comprises at least one of /pa, ta, ka, ba, da, ga, fa, θa, sa, ∫a, δa, va, ca/. | 0.6417 |
2. The method of claim 1 , further comprising: analyzing the nugget to determine a presence of a feature in the nugget, wherein the feature is a member of a set of features specified for the domain, and wherein the set of features are based on a set of questions to be answered using the domain-related data. | 2. The method of claim 1 , further comprising: analyzing the nugget to determine a presence of a feature in the nugget, wherein the feature is a member of a set of features specified for the domain, and wherein the set of features are based on a set of questions to be answered using the domain-related data. 3. The method of claim 2 , further comprising: adjusting the set of features to achieve a different result in using the pseudo-document. | 0.968778 |
9. The method according to claim 1 , wherein identifying the one or more suggested replacement keywords for the one or more of the keywords of the search query comprises identifying synonyms of the one or more of the keywords of the search query as the one or more suggested replacement keywords. | 9. The method according to claim 1 , wherein identifying the one or more suggested replacement keywords for the one or more of the keywords of the search query comprises identifying synonyms of the one or more of the keywords of the search query as the one or more suggested replacement keywords. 10. The method according to claim 9 , wherein identifying the synonyms comprises: using the at least one association graph, calculating respective strengths of association of each of the identified synonyms with the plurality of keywords of the search query other than the one of the keywords of the search query corresponding to the identified synonym; and responsively to the calculated strengths of association, selecting as the suggested replacement keywords a portion of the identified synonyms including one or more of the identified synonyms. | 0.782092 |
6. The mobile terminal of claim 1 , wherein the controller is further configured to cause the touch screen to display a second pop-up window including a text pasting mode for converting the received voice signal to the text to be displayed and an audio data pasting mode for causing displaying of a playback icon for playing the received voice signal such that one of the text pasting mode and the audio data pasting mode is selected via the second pop-up window. | 6. The mobile terminal of claim 1 , wherein the controller is further configured to cause the touch screen to display a second pop-up window including a text pasting mode for converting the received voice signal to the text to be displayed and an audio data pasting mode for causing displaying of a playback icon for playing the received voice signal such that one of the text pasting mode and the audio data pasting mode is selected via the second pop-up window. 8. The mobile terminal of claim 6 , wherein the controller is further configured to cause the touch screen to display the playback icon at the specific position of the execution screen in response selection of the audio data pasting mode from the second pop-up window. | 0.856826 |
1. A method, comprising: creating a data-interactive application and providing said data-interactive application within a shared platform, said shared platform including one or more computing devices, by which data describing actions performed by a plurality of users is received over a network within said shared platform via said data-interactive application; configuring said shared platform to be accessible by said plurality of users via said data-interactive application, by one or more computing devices of said shared platform, the data-interactive application within said shared platform and accessible asynchronously by said plurality of users over said network, said data-interactive application installed on the shared platform to receive said data describing actions variously performed by said plurality of users, the shared platform containing a content-organization engine coupled to said data-interactive application to execute said data describing said actions variously performed by said plurality of users; receiving, by the one or more computing devices of said shared platform, via said data-interactive application within the shared platform, certain content created by said data describing actions performed by a particular user from the plurality of users, relating to particular text within electronic content stored within said shared platform and providing for display by the content-organization engine said electronic content in the form of a book, for viewing by another user over the network at a remote device, and embedding the certain content created by said one user within a page in the book; sharing automatically, by the one or more computing devices within said shared platform and the content-organization engine, the certain content created by the user with groups of other users as designated by a sharing engine coupled to the content-organization engine, wherein the certain content is provided for display to one or more groups of users on at least said remote device, if the one or more groups are designated for viewing said certain content added by said particular user and when the one or more groups review the electronic content stored within said shared platform; creating automatically by the content-organization engine, and by the one or more computing devices of shared platform, a master identification code for identifying all versions of the electronic content and providing the certain content created by the particular user by said data describing said actions performed by said particular user for display by a graphical user interface with multiple windows displaying all the versions of the electronic content stored within said shared platform; generating by the content-organization engine and providing for display by the graphical user interface and via said multiple windows, and by at least one of the one or more computing devices of said shared platform, multiple channels for multiple threads of discussion created for different groups based on restrictions designated and starting a new channel for a new thread of discussion for a private group without including previous discussions; generating, by the content-organization engine and by the one or more computing devices of said shared platform, a chapter map for the electronic content stored within the shared platform, by which the certain content created by the particular user and provided to others is selectively located in an appropriate version of the electronic content identified from all the versions of the electronic content and wherein if the certain content created by the particular user defines an assignment, answers from other users responding to the assignment are compiled for review by the particular user providing the assignment; and providing a content discovery system as part of the content-organization engine and configured to allow certain users to browse through lists of materials compiled by other users based on established relationships and discover content that may be of interest. | 1. A method, comprising: creating a data-interactive application and providing said data-interactive application within a shared platform, said shared platform including one or more computing devices, by which data describing actions performed by a plurality of users is received over a network within said shared platform via said data-interactive application; configuring said shared platform to be accessible by said plurality of users via said data-interactive application, by one or more computing devices of said shared platform, the data-interactive application within said shared platform and accessible asynchronously by said plurality of users over said network, said data-interactive application installed on the shared platform to receive said data describing actions variously performed by said plurality of users, the shared platform containing a content-organization engine coupled to said data-interactive application to execute said data describing said actions variously performed by said plurality of users; receiving, by the one or more computing devices of said shared platform, via said data-interactive application within the shared platform, certain content created by said data describing actions performed by a particular user from the plurality of users, relating to particular text within electronic content stored within said shared platform and providing for display by the content-organization engine said electronic content in the form of a book, for viewing by another user over the network at a remote device, and embedding the certain content created by said one user within a page in the book; sharing automatically, by the one or more computing devices within said shared platform and the content-organization engine, the certain content created by the user with groups of other users as designated by a sharing engine coupled to the content-organization engine, wherein the certain content is provided for display to one or more groups of users on at least said remote device, if the one or more groups are designated for viewing said certain content added by said particular user and when the one or more groups review the electronic content stored within said shared platform; creating automatically by the content-organization engine, and by the one or more computing devices of shared platform, a master identification code for identifying all versions of the electronic content and providing the certain content created by the particular user by said data describing said actions performed by said particular user for display by a graphical user interface with multiple windows displaying all the versions of the electronic content stored within said shared platform; generating by the content-organization engine and providing for display by the graphical user interface and via said multiple windows, and by at least one of the one or more computing devices of said shared platform, multiple channels for multiple threads of discussion created for different groups based on restrictions designated and starting a new channel for a new thread of discussion for a private group without including previous discussions; generating, by the content-organization engine and by the one or more computing devices of said shared platform, a chapter map for the electronic content stored within the shared platform, by which the certain content created by the particular user and provided to others is selectively located in an appropriate version of the electronic content identified from all the versions of the electronic content and wherein if the certain content created by the particular user defines an assignment, answers from other users responding to the assignment are compiled for review by the particular user providing the assignment; and providing a content discovery system as part of the content-organization engine and configured to allow certain users to browse through lists of materials compiled by other users based on established relationships and discover content that may be of interest. 2. The method of claim 1 , further comprising: generating, by the one or more computing devices of the shared platform, an identification of coordinates of where the electronic content is located in the appropriate version identified from all the versions of the electronic content stored on said shared platform. | 0.535247 |
1. A computer-storage device storing computer-executable instructions that, when executed by a computing device, facilitate a method of providing one or more suggested search-engine queries related to content of a web page that is requested, the method comprising: retrieving the web page in response to a request from a client computing device to provide the web page, wherein the web page is configured to present an advertisement in an advertisement frame; identifying a suggested search-engine query to be provided together with the web page, wherein identifying the suggested search-engine query includes identifying one or more hyperlinks included on the web page, analyzing historical user metrics, or a combination thereof; creating a web-page element that includes a hyperlink that, when selected, communicates the suggested search-engine query to a search-engine server, wherein the suggested search-engine query includes a search term derived from the one or more hyperlinks or the historical user metrics; inserting the web-page element in the advertisement frame instead of the advertisement to syndicate the request to the search-engine server by way of the advertisement frame; and providing to the client computing device the web page, which includes both the web-page element having the hyperlink and the content combined together in a same web page, thereby providing the suggested search-engine query comprised of the search term. | 1. A computer-storage device storing computer-executable instructions that, when executed by a computing device, facilitate a method of providing one or more suggested search-engine queries related to content of a web page that is requested, the method comprising: retrieving the web page in response to a request from a client computing device to provide the web page, wherein the web page is configured to present an advertisement in an advertisement frame; identifying a suggested search-engine query to be provided together with the web page, wherein identifying the suggested search-engine query includes identifying one or more hyperlinks included on the web page, analyzing historical user metrics, or a combination thereof; creating a web-page element that includes a hyperlink that, when selected, communicates the suggested search-engine query to a search-engine server, wherein the suggested search-engine query includes a search term derived from the one or more hyperlinks or the historical user metrics; inserting the web-page element in the advertisement frame instead of the advertisement to syndicate the request to the search-engine server by way of the advertisement frame; and providing to the client computing device the web page, which includes both the web-page element having the hyperlink and the content combined together in a same web page, thereby providing the suggested search-engine query comprised of the search term. 5. The computer-storage device of claim 1 , wherein the method further comprises querying one or more click logs to identify other suggested search-engine queries. | 0.572165 |
1. A method for broadcast audience interaction, comprising: broadcasting, by a first device associated with a media output device to a portable device, a discovery signal, receipt of the discovery signal causing the portable device to activate a microphone of the portable device; receiving, by the first device, a segment of audio output by the media output device and an audio interaction of a user recorded by the microphone of the portable device; identifying, by the first device an existence of the portable device based on correlation between the segment of audio output by the media output device and the audio interaction of the user; determining, by the first device, that the audio interaction of the user is not output by the media output device based on identifying the existence of the portable device; generating, by the first device, a first identifier of the audio interaction of the user and a second identifier of the segment of audio output by the media device; and transmitting, by the first device to a measurement system, the first identifier and the second identifier, the measurement system recording an identification of an item of content corresponding to the segment of audio output by the media device and an interaction with the item of content. | 1. A method for broadcast audience interaction, comprising: broadcasting, by a first device associated with a media output device to a portable device, a discovery signal, receipt of the discovery signal causing the portable device to activate a microphone of the portable device; receiving, by the first device, a segment of audio output by the media output device and an audio interaction of a user recorded by the microphone of the portable device; identifying, by the first device an existence of the portable device based on correlation between the segment of audio output by the media output device and the audio interaction of the user; determining, by the first device, that the audio interaction of the user is not output by the media output device based on identifying the existence of the portable device; generating, by the first device, a first identifier of the audio interaction of the user and a second identifier of the segment of audio output by the media device; and transmitting, by the first device to a measurement system, the first identifier and the second identifier, the measurement system recording an identification of an item of content corresponding to the segment of audio output by the media device and an interaction with the item of content. 5. The method of claim 1 , wherein broadcasting the discovery signal further comprises broadcasting the discovery signal to the portable device, the receipt of the discovery signal causing the portable to device to activate the microphone of the portable device for a predetermined duration of time. | 0.589796 |
29. A spinal implant adapted to be implanted in a patient comprising: a shield with a shield cavity; a mount extending from said shield; a deflection rod extending through the shield cavity and having a first end mounted in said shield cavity and a second end external to said shield cavity; the second end of the deflection rod including a connector configured for mounting a spinal rod; and wherein said deflection rod is able to be deflected in said shield cavity and wherein deflection of said deflection rod is limited by contact with the shield. | 29. A spinal implant adapted to be implanted in a patient comprising: a shield with a shield cavity; a mount extending from said shield; a deflection rod extending through the shield cavity and having a first end mounted in said shield cavity and a second end external to said shield cavity; the second end of the deflection rod including a connector configured for mounting a spinal rod; and wherein said deflection rod is able to be deflected in said shield cavity and wherein deflection of said deflection rod is limited by contact with the shield. 35. The spinal implant of claim 29 , wherein said deflection rod comprises an inner Nitinol rod and an outer polymer sleeve. | 0.782949 |
14. A non-transitory computer-readable storage medium having computer-executable instructions, the computer-executable instructions when installed onto a computing device enable the computing device to perform actions, comprising: receiving a message having at least one attachment; using a machine learning model to select a set of sentences from within the message to be relevant to the at least one attachment based on a set of predefined sentence level features; identifying from within the set of relevant sentences a set of keywords further relevant to the at least one attachment; and associating at least one of the keywords in the set to the at least one attachment, such that the association is useable for at least one of indexing or searching of the at least one attachment. | 14. A non-transitory computer-readable storage medium having computer-executable instructions, the computer-executable instructions when installed onto a computing device enable the computing device to perform actions, comprising: receiving a message having at least one attachment; using a machine learning model to select a set of sentences from within the message to be relevant to the at least one attachment based on a set of predefined sentence level features; identifying from within the set of relevant sentences a set of keywords further relevant to the at least one attachment; and associating at least one of the keywords in the set to the at least one attachment, such that the association is useable for at least one of indexing or searching of the at least one attachment. 20. The non-transitory computer-readable storage medium of claim 14 , wherein the computer-executable instructions are configured to be downloadable and executed from within a client device, or configured to operate within a cloud architecture. | 0.806162 |
1. A computer-implemented method for creating text signatures for identifying spam messages, the method comprising: identifying a spam message; tokenizing the text of the spam message; identifying at least one incorrectly punctuated token within the tokenized text of the spam message; identifying, within the tokenized text of the spam message, at least two tokens that are adjacent to the incorrectly punctuated token by at least one of: identifying a predetermined number of tokens preceding the incorrectly punctuated token that are suitable for inclusion in a candidate signature; identifying a predetermined number of tokens following the incorrectly punctuated token that are suitable for inclusion in the candidate signature; creating the candidate signature for identifying future spam messages that includes both the incorrectly punctuated token and the tokens that are adjacent to the incorrectly punctuated token; wherein at least a portion of the method is performed by a computing device comprising at least one processor. | 1. A computer-implemented method for creating text signatures for identifying spam messages, the method comprising: identifying a spam message; tokenizing the text of the spam message; identifying at least one incorrectly punctuated token within the tokenized text of the spam message; identifying, within the tokenized text of the spam message, at least two tokens that are adjacent to the incorrectly punctuated token by at least one of: identifying a predetermined number of tokens preceding the incorrectly punctuated token that are suitable for inclusion in a candidate signature; identifying a predetermined number of tokens following the incorrectly punctuated token that are suitable for inclusion in the candidate signature; creating the candidate signature for identifying future spam messages that includes both the incorrectly punctuated token and the tokens that are adjacent to the incorrectly punctuated token; wherein at least a portion of the method is performed by a computing device comprising at least one processor. 6. The method of claim 1 , wherein identifying the tokens that are adjacent to the incorrectly punctuated token comprises: determining that less than a predetermined number of suitable tokens follow the incorrectly punctuated token; automatically compensating for a lack of suitable tokens following the incorrectly punctuated token by identifying an increased number of tokens preceding the incorrectly punctuated token that are suitable for inclusion in the candidate signature. | 0.569802 |
1. A method of facilitating memory access, said method comprising: providing a first partition within a system configuration, the first partition configured to support an operating system (OS) designed for a first address translation architecture, wherein configuration of the first partition to support the OS designed for the first address translation architecture is indicated in a configuration data structure, and wherein the first partition is not configured, as indicated in the configuration data structure, to support an OS designed for a second address translation architecture; and providing a second partition within the system configuration, the second partition configured to support the OS designed for the second address translation architecture, the second partition not configured to support the OS designed for the first address translation architecture, wherein the first address translation architecture is structurally different from the second address translation architecture, and wherein the first partition is a paravirtualized partition in which a guest of the first partition assists in handling address translation faults corresponding to host translations, and the second partition is a virtualized partition in which handling of address translation faults corresponding to host translations is independent of assistance from a guest of the second partition. | 1. A method of facilitating memory access, said method comprising: providing a first partition within a system configuration, the first partition configured to support an operating system (OS) designed for a first address translation architecture, wherein configuration of the first partition to support the OS designed for the first address translation architecture is indicated in a configuration data structure, and wherein the first partition is not configured, as indicated in the configuration data structure, to support an OS designed for a second address translation architecture; and providing a second partition within the system configuration, the second partition configured to support the OS designed for the second address translation architecture, the second partition not configured to support the OS designed for the first address translation architecture, wherein the first address translation architecture is structurally different from the second address translation architecture, and wherein the first partition is a paravirtualized partition in which a guest of the first partition assists in handling address translation faults corresponding to host translations, and the second partition is a virtualized partition in which handling of address translation faults corresponding to host translations is independent of assistance from a guest of the second partition. 10. The method of claim 1 , further comprising: identifying a page of memory that is the same in the first partition and the second partition; and removing the page from one of the first partition and the second partition, wherein the page that remains is shared by the first partition and the second partition. | 0.501379 |
7. A non-transitory computer readable storage medium embodying a computer program for performing a method of combining text mining services that rely upon different taxonomies, said method comprising: applying a first text mining service relying upon a first taxonomy, to a knowledge base comprising a plurality of documents according to a first iterative instance generation process in order to generate a plurality of instances of an entity type of the first taxonomy; applying a second text mining service relying upon a second taxonomy, to the knowledge base according to a second iterative instance generation process to generate a plurality of instances of an entity type of the second taxonomy; utilizing the plurality of instances of the first taxonomy and the plurality of instances of the second taxonomy to construct an instance-matching procedure; applying the first text mining service to a target text document smaller than the knowledge base to produce a plurality of first taxonomy entity types; applying the second text mining service to the target text document to produce a plurality of second taxonomy entity types; creating a mapping of the plurality of first taxonomy entity types to the plurality of the second taxonomy entity types based at least in part on the instance-matching procedure; using the mapping to create a merged result that compares a result of applying the first text mining service to the target text document, with a result of applying the second text mining service to the target text document; and displaying the merged result to a user. | 7. A non-transitory computer readable storage medium embodying a computer program for performing a method of combining text mining services that rely upon different taxonomies, said method comprising: applying a first text mining service relying upon a first taxonomy, to a knowledge base comprising a plurality of documents according to a first iterative instance generation process in order to generate a plurality of instances of an entity type of the first taxonomy; applying a second text mining service relying upon a second taxonomy, to the knowledge base according to a second iterative instance generation process to generate a plurality of instances of an entity type of the second taxonomy; utilizing the plurality of instances of the first taxonomy and the plurality of instances of the second taxonomy to construct an instance-matching procedure; applying the first text mining service to a target text document smaller than the knowledge base to produce a plurality of first taxonomy entity types; applying the second text mining service to the target text document to produce a plurality of second taxonomy entity types; creating a mapping of the plurality of first taxonomy entity types to the plurality of the second taxonomy entity types based at least in part on the instance-matching procedure; using the mapping to create a merged result that compares a result of applying the first text mining service to the target text document, with a result of applying the second text mining service to the target text document; and displaying the merged result to a user. 12. The non-transitory computer readable storage medium of claim 7 wherein the method further comprises using a mapping rewriting technique to revise the mapping. | 0.658097 |
52. A non-transitory computer readable medium for use on a computing device, the medium storing instructions executable using the computing device, the instructions for: identifying a plurality of entities having relationships therebetween; accessing a first entity from the plurality of entities, the first entity including a graphical model that has a graphical affordance; accessing a second entity from the plurality of entities, the second entity including at least one of a generated code or an intermediate representation that corresponds to the graphical model; and mapping the first entity to the second entity, using a computer, to facilitate graphical identification of a bi-directional mapping between a first part, of the first entity, that includes the graphical affordance depicted in the graphical model, and a second part, of the second entity, that includes a segment, of the at least one of the generated code or the intermediate representation, associated with the graphical affordance. | 52. A non-transitory computer readable medium for use on a computing device, the medium storing instructions executable using the computing device, the instructions for: identifying a plurality of entities having relationships therebetween; accessing a first entity from the plurality of entities, the first entity including a graphical model that has a graphical affordance; accessing a second entity from the plurality of entities, the second entity including at least one of a generated code or an intermediate representation that corresponds to the graphical model; and mapping the first entity to the second entity, using a computer, to facilitate graphical identification of a bi-directional mapping between a first part, of the first entity, that includes the graphical affordance depicted in the graphical model, and a second part, of the second entity, that includes a segment, of the at least one of the generated code or the intermediate representation, associated with the graphical affordance. 80. The computer readable medium of claim 52 , where the instructions are further for: associating undisplayed aspects of the graphical model with the second part; selecting the second part; and displaying, based on selecting the second part, the undisplayed aspects. | 0.707499 |
10. An apparatus for predictive coding of previously collected electronic discovery documents, the apparatus comprising: a computing platform including at least one processor, a memory in communication with the processor and a display in communication with the processor; a document coding application stored in the memory, executable by the processor and configured to receive a plurality of document coding inputs that each assign a review code to one of a plurality of first documents, which are associated with a case within an electronic discovery system and have been previously collected from one of a plurality of custodians associated with the case, wherein the review code indicates a level of relevancy or importance in relation to the case and at least one document coding input codes a first document as privileged; and a predictive document coding application stored in the memory, executable by the processor and including, a document similarity evaluator configured to (1) determine, in response to receiving each of the plurality of document coding inputs, if one or more second documents, which are associated with the case, have been previously collected from the plurality of custodians and are pending review, are similar to or same as the first document, and (2) determine, in response to receiving the at least one document coding input that codes the first document as privileged, determining, via a computing device, if one or more third documents, which are associated with other cases in the electronic discovery system, have been collected from the plurality of custodians and are pending review are same as the first document, a code assignor configured to (1), in response to determining that the second documents are same as the first document, automatically assign a review code assigned to the first document to the one or more second documents that are the same as the first document and, (2) in response to determining that the third documents are same as the first document, automatically assign the privilege code to the one or more third documents that are the same as the first document, a document remover configured to remove the one or more second documents that are the same as the first document from a plurality of pending review documents based on the assignment of the review code, wherein the pending review documents are included in a document review assignment currently being reviewed by a reviewer, and a confidence indicator presenter configured to present, on the display, the one or more second documents that are similar to the first document and a confidence indicator that indicates a level of similarity between the first document and a presented second document, wherein the reviewer makes a determination based on the confidence indicator as to whether the presented second document reaches a level of similarity to the first document to justify assigning the review code to the presented document. | 10. An apparatus for predictive coding of previously collected electronic discovery documents, the apparatus comprising: a computing platform including at least one processor, a memory in communication with the processor and a display in communication with the processor; a document coding application stored in the memory, executable by the processor and configured to receive a plurality of document coding inputs that each assign a review code to one of a plurality of first documents, which are associated with a case within an electronic discovery system and have been previously collected from one of a plurality of custodians associated with the case, wherein the review code indicates a level of relevancy or importance in relation to the case and at least one document coding input codes a first document as privileged; and a predictive document coding application stored in the memory, executable by the processor and including, a document similarity evaluator configured to (1) determine, in response to receiving each of the plurality of document coding inputs, if one or more second documents, which are associated with the case, have been previously collected from the plurality of custodians and are pending review, are similar to or same as the first document, and (2) determine, in response to receiving the at least one document coding input that codes the first document as privileged, determining, via a computing device, if one or more third documents, which are associated with other cases in the electronic discovery system, have been collected from the plurality of custodians and are pending review are same as the first document, a code assignor configured to (1), in response to determining that the second documents are same as the first document, automatically assign a review code assigned to the first document to the one or more second documents that are the same as the first document and, (2) in response to determining that the third documents are same as the first document, automatically assign the privilege code to the one or more third documents that are the same as the first document, a document remover configured to remove the one or more second documents that are the same as the first document from a plurality of pending review documents based on the assignment of the review code, wherein the pending review documents are included in a document review assignment currently being reviewed by a reviewer, and a confidence indicator presenter configured to present, on the display, the one or more second documents that are similar to the first document and a confidence indicator that indicates a level of similarity between the first document and a presented second document, wherein the reviewer makes a determination based on the confidence indicator as to whether the presented second document reaches a level of similarity to the first document to justify assigning the review code to the presented document. 16. The apparatus of claim 10 , wherein the document similarity evaluator is further configured to determine if the one or more second documents include a predetermined threshold of concepts included in the first document. | 0.517281 |
7. A system comprising: program code comprising: an object management system to call a constructor to register an interface to a description of a persistent class; and a database management system kernel to access the registered interface to determine an internal structure of the persistent class, to process an instance of the persistent class based on the determined internal structure, wherein the instance of the persistent class is a persistent database object, to determine, based on the determined internal structure, members of the persistent database object that are filled with default values, to store the persistent database object in a database, to reduce storage demands on the database by removing the default values from the persistent database object before the storing of the persistent database object in the database, to read the persistent database object from the database after the storing of the persistent database object in the database, to populate the determined members of the persistent database object with the default values after the reading of the persistent database object from the database, to define an index associated with one or more members of the instance based on the determined internal structure and to verify referential integrity of the instance; and at least one processor to execute the program code. | 7. A system comprising: program code comprising: an object management system to call a constructor to register an interface to a description of a persistent class; and a database management system kernel to access the registered interface to determine an internal structure of the persistent class, to process an instance of the persistent class based on the determined internal structure, wherein the instance of the persistent class is a persistent database object, to determine, based on the determined internal structure, members of the persistent database object that are filled with default values, to store the persistent database object in a database, to reduce storage demands on the database by removing the default values from the persistent database object before the storing of the persistent database object in the database, to read the persistent database object from the database after the storing of the persistent database object in the database, to populate the determined members of the persistent database object with the default values after the reading of the persistent database object from the database, to define an index associated with one or more members of the instance based on the determined internal structure and to verify referential integrity of the instance; and at least one processor to execute the program code. 9. The system according to claim 7 , the database management system kernel further to define a key associated with one or more members of the instance based on the determined internal structure. | 0.570927 |
10. A method, comprising: receiving, via at least one network, a first communication from a device; identifying, from the first communication, a request to access a web resource; generating an image comprising pixel values in a plurality of channels including a transparency channel, the generating comprising encoding a challenge text in the image at least in part by: generating decoding information for displaying the challenge text, the decoding information including a plurality of saturation values for a respective plurality of pixels in the image; and storing the decoding information, including the plurality of saturation values, in the transparency channel of the image; transmitting, to the device and via the at least one network, the generated image and software code that, when executed by the device, uses the decoding information to facilitate displaying of the challenge text by the device; receiving, via the at least one network, a second communication from the device; identifying, from the second communication, a response text; and providing the device with access to the web resource based on a comparison between the challenge text and the response text. | 10. A method, comprising: receiving, via at least one network, a first communication from a device; identifying, from the first communication, a request to access a web resource; generating an image comprising pixel values in a plurality of channels including a transparency channel, the generating comprising encoding a challenge text in the image at least in part by: generating decoding information for displaying the challenge text, the decoding information including a plurality of saturation values for a respective plurality of pixels in the image; and storing the decoding information, including the plurality of saturation values, in the transparency channel of the image; transmitting, to the device and via the at least one network, the generated image and software code that, when executed by the device, uses the decoding information to facilitate displaying of the challenge text by the device; receiving, via the at least one network, a second communication from the device; identifying, from the second communication, a response text; and providing the device with access to the web resource based on a comparison between the challenge text and the response text. 12. The method of claim 10 , wherein the software code, when executed by an Internet browser, uses the decoding information to cause a plurality of graphical elements to be displayed in a webpage so that the webpage displays the challenge text. | 0.590231 |
20. A method as recited in claim 1 wherein generating search results comprises generating search results in response to suggestion data. | 20. A method as recited in claim 1 wherein generating search results comprises generating search results in response to suggestion data. 34. A method as recited in claim 20 further comprising generating suggestion data in response to content used and similar content data from an external source. | 0.943544 |
7. The apparatus of claim 1 , wherein the program, when executed by the processor, further causes the processor to perform: editing the document content entered into a data field of the customized user interface and using color to designate a document node in a document being edited. | 7. The apparatus of claim 1 , wherein the program, when executed by the processor, further causes the processor to perform: editing the document content entered into a data field of the customized user interface and using color to designate a document node in a document being edited. 11. The apparatus of claim 7 , wherein editing the document includes causing an input screen to be displayed to allow a user to enter information into the input screen when a particular keystroke is depressed. | 0.904333 |
13. A non-transitory computer-readable medium storing a set of instructions, which when executed by a processor, perform a method of creating a ranked join index for ordered data entries, comprising: mapping a dominating set of the ordered data entries according to rank attributes; determining a separating vector for each set of adjacent mapped data entries of the dominating set of ordered data entries; and ordering the ordered data entries according to a separating point associated with each of the separating vectors. | 13. A non-transitory computer-readable medium storing a set of instructions, which when executed by a processor, perform a method of creating a ranked join index for ordered data entries, comprising: mapping a dominating set of the ordered data entries according to rank attributes; determining a separating vector for each set of adjacent mapped data entries of the dominating set of ordered data entries; and ordering the ordered data entries according to a separating point associated with each of the separating vectors. 16. The non-transitory computer-readable medium of claim 13 , wherein each set of adjacent mapped data entries comprises more than two mapped data entries of the ordered data entries if the more than two data entries are collinear. | 0.67847 |
9. A system for optimal partitioning of segments in a consumer credit segmentation tree comprising: a memory configured for storing credit related data comprising the input image; a processor, coupled to the memory, wherein the processor is configured to perform the steps of: generating by a computer a first attribute-based independent variable on a segmentation tree using a primary dependent variable having two classes, wherein a value of the independent variable is selected that creates two groups that minimize misclassification of the two classes of the primary dependent variable; generating by the computer a second attribute-based independent variable on the tree using the primary dependent variable; generating by the computer risk tiers for the first attribute-based independent variable on the tree using a first risk score and the primary dependent variable, wherein values of the independent variable are selected that create two groups that minimize misclassification of the two classes of the primary dependent variable; generating by the computer risk tiers for a first segment of the second attribute-based independent variable on the tree using the first risk score and the primary dependent variable, wherein values of the independent variable are selected that create two groups that minimize misclassification of the two classes of the primary dependent variable; generating by the computer risk tiers for a second segment of the second attribute-based independent variable on the tree using a second risk score and the primary dependent variable; and generating by the computer profiles in the risk tiers for the second segment of the second attribute-based independent variable with a profile dependent variable having two classes to complete the tree, wherein values of a profile model are selected that create two groups that minimize misclassification of the two classes of the profile dependent variable. | 9. A system for optimal partitioning of segments in a consumer credit segmentation tree comprising: a memory configured for storing credit related data comprising the input image; a processor, coupled to the memory, wherein the processor is configured to perform the steps of: generating by a computer a first attribute-based independent variable on a segmentation tree using a primary dependent variable having two classes, wherein a value of the independent variable is selected that creates two groups that minimize misclassification of the two classes of the primary dependent variable; generating by the computer a second attribute-based independent variable on the tree using the primary dependent variable; generating by the computer risk tiers for the first attribute-based independent variable on the tree using a first risk score and the primary dependent variable, wherein values of the independent variable are selected that create two groups that minimize misclassification of the two classes of the primary dependent variable; generating by the computer risk tiers for a first segment of the second attribute-based independent variable on the tree using the first risk score and the primary dependent variable, wherein values of the independent variable are selected that create two groups that minimize misclassification of the two classes of the primary dependent variable; generating by the computer risk tiers for a second segment of the second attribute-based independent variable on the tree using a second risk score and the primary dependent variable; and generating by the computer profiles in the risk tiers for the second segment of the second attribute-based independent variable with a profile dependent variable having two classes to complete the tree, wherein values of a profile model are selected that create two groups that minimize misclassification of the two classes of the profile dependent variable. 11. The system of claim 9 , wherein the second attribute-based independent variable is not previously bankrupt and thin file/full file. | 0.661253 |
1. Apparatus for use in managing a service level associated with resources in an information technology (IT) system based on financial terms, the apparatus comprising: at least one processor operative to: (i) construct and maintain an electronic contract that contains information pertaining to descriptions of one or more transactions in IT terms, financial implications of one or more transaction service levels, and reporting to be performed in one or more financial terms; and (ii) measure the operation of the IT system in terms of one or more metrics based on the electronic contract; and memory, operatively coupled to the at least one processor, for storing at least one of the electronic contract and results of the measurement operation; wherein the one or more metrics are converted to one or more financial equivalents. | 1. Apparatus for use in managing a service level associated with resources in an information technology (IT) system based on financial terms, the apparatus comprising: at least one processor operative to: (i) construct and maintain an electronic contract that contains information pertaining to descriptions of one or more transactions in IT terms, financial implications of one or more transaction service levels, and reporting to be performed in one or more financial terms; and (ii) measure the operation of the IT system in terms of one or more metrics based on the electronic contract; and memory, operatively coupled to the at least one processor, for storing at least one of the electronic contract and results of the measurement operation; wherein the one or more metrics are converted to one or more financial equivalents. 15. The apparatus of claim 1 , wherein the one or more metrics are reported to one or more parties. | 0.743949 |
2. The method of claim 1, wherein: the plurality of rule sets includes a suffix rule set having a multiplicity of suffix rules, and wherein the applying step iteratively compares the input text with the suffix rules in the suffix rule set to produce ending portions of the phonemic data sequence; and wherein a remainder of the input text is compared with a remainder of the plurality of rule sets to produce a remainder portion of the phonemic data sequence. | 2. The method of claim 1, wherein: the plurality of rule sets includes a suffix rule set having a multiplicity of suffix rules, and wherein the applying step iteratively compares the input text with the suffix rules in the suffix rule set to produce ending portions of the phonemic data sequence; and wherein a remainder of the input text is compared with a remainder of the plurality of rule sets to produce a remainder portion of the phonemic data sequence. 4. The method of claim 2 further comprising the step of performing a dictionary lookup on the remainder of the input text after the input text has been iteratively compared with the suffix rules. | 0.948221 |
11. A computer-implemented method for managing a context-sensitive sidebar window, comprising: determining contextual information relevant to an electronic document displayed on an electronic desktop; presenting a portion of the determined contextual information in a sidebar window; and managing a display of the context-sensitive sidebar window within the electronic desktop adjacent to the electronic document, comprising: determining a location of one or more icons on the electronic desktop and assigning a relative importance to each of the one or more icons; assigning an importance value to each pixel of the icons in the electronic desktop; adjusting at least one of a vertical and horizontal positioning of the context-sensitive sidebar within the electronic desktop based on the importance of the icons and the importance of the icon pixels within the electronic desktop such that coverage of the pixels of the icons, associated with a higher importance, by the context-sensitive sidebar is minimized; automatically opening the context-sensitive sidebar window when the electronic document is opened; and automatically closing the context-sensitive sidebar window when the document is closed. | 11. A computer-implemented method for managing a context-sensitive sidebar window, comprising: determining contextual information relevant to an electronic document displayed on an electronic desktop; presenting a portion of the determined contextual information in a sidebar window; and managing a display of the context-sensitive sidebar window within the electronic desktop adjacent to the electronic document, comprising: determining a location of one or more icons on the electronic desktop and assigning a relative importance to each of the one or more icons; assigning an importance value to each pixel of the icons in the electronic desktop; adjusting at least one of a vertical and horizontal positioning of the context-sensitive sidebar within the electronic desktop based on the importance of the icons and the importance of the icon pixels within the electronic desktop such that coverage of the pixels of the icons, associated with a higher importance, by the context-sensitive sidebar is minimized; automatically opening the context-sensitive sidebar window when the electronic document is opened; and automatically closing the context-sensitive sidebar window when the document is closed. 15. A method according to claim 11 , further comprising: applying animated transitions to the context-sensitive sidebar window comprising one or more of fading in, fading out, sliding in, and sliding out of view on a display. | 0.756989 |
11. The system of claim 10 , further comprising: a patent matter database, wherein the patent matter database includes data about patent matters, the data including a claim set for at least one patent matter, and wherein the first patent concept relates to at least one feature of the claim set. | 11. The system of claim 10 , further comprising: a patent matter database, wherein the patent matter database includes data about patent matters, the data including a claim set for at least one patent matter, and wherein the first patent concept relates to at least one feature of the claim set. 13. The system of claim 11 , wherein the first patent concept includes at least one scope concept present in the claim set. | 0.961522 |
12. An article of manufacture including a non-transitory computer-readable storage medium, having stored thereon program instructions that, upon execution by a computing device, cause the computing device to perform operations comprising: selecting a first gender-specific speaker adaptation technique based on characteristics of a first set of feature vectors, wherein the first set of feature vectors correspond to a first unit of input speech, and wherein the first set of feature vectors are configured for use in automatic speech recognition (ASR) of the first unit of input speech, wherein the first gender-specific speaker adaptation technique is associated with a particular gender; modifying a second set of feature vectors based on the first gender-specific speaker adaptation technique, wherein the second set of feature vectors correspond to a second unit of input speech, and wherein the modified second set of feature vectors are configured for use in ASR of the second unit of input speech; based on characteristics of the second set of feature vectors and the first gender-specific speaker adaptation technique being associated with a particular gender, selecting a first speaker-dependent speaker adaptation technique that is associated with a particular speaker of the particular gender; and modifying a third set of feature vectors based on the first speaker-dependent speaker adaptation technique, wherein the third set of feature vectors correspond to a third unit of input speech, and wherein the modified third set of feature vectors are configured for use in ASR of the third unit of input speech. | 12. An article of manufacture including a non-transitory computer-readable storage medium, having stored thereon program instructions that, upon execution by a computing device, cause the computing device to perform operations comprising: selecting a first gender-specific speaker adaptation technique based on characteristics of a first set of feature vectors, wherein the first set of feature vectors correspond to a first unit of input speech, and wherein the first set of feature vectors are configured for use in automatic speech recognition (ASR) of the first unit of input speech, wherein the first gender-specific speaker adaptation technique is associated with a particular gender; modifying a second set of feature vectors based on the first gender-specific speaker adaptation technique, wherein the second set of feature vectors correspond to a second unit of input speech, and wherein the modified second set of feature vectors are configured for use in ASR of the second unit of input speech; based on characteristics of the second set of feature vectors and the first gender-specific speaker adaptation technique being associated with a particular gender, selecting a first speaker-dependent speaker adaptation technique that is associated with a particular speaker of the particular gender; and modifying a third set of feature vectors based on the first speaker-dependent speaker adaptation technique, wherein the third set of feature vectors correspond to a third unit of input speech, and wherein the modified third set of feature vectors are configured for use in ASR of the third unit of input speech. 15. The article of manufacture of claim 12 , wherein selecting the first speaker-dependent speaker adaptation technique based on characteristics of the second set of feature vectors comprises determining that the characteristics of the second set of feature vectors fit a speaker-dependent speech model associated with the first speaker-dependent speaker adaptation technique better than the characteristics of the second set of feature vectors fit one or more additional speaker-dependent speech models. | 0.605196 |
1. A contextual content delivery system operably connected to one or more publishers via a data communications network, the system comprising: a computing device configured to: identify one or more conventional hyperlinks in a document; determine a context associated with each of the identified hyperlinks; select, for each of the identified hyperlinks, one of a plurality of bubble types based on a uniform resource locator extracted from the identified hyperlink; wherein each of the bubbles comprises a first display area and a second display area; for each of the identified hyperlinks: a) select content for the first display area of the associated bubble type based on the uniform resource locator extracted from the identified hyperlink; and b) select content for the second display area of the bubble type based on the determined context of the identified hyperlink; and convert each of the identified hyperlinks to an enhanced hyperlink for invoking the associated bubble type and content. | 1. A contextual content delivery system operably connected to one or more publishers via a data communications network, the system comprising: a computing device configured to: identify one or more conventional hyperlinks in a document; determine a context associated with each of the identified hyperlinks; select, for each of the identified hyperlinks, one of a plurality of bubble types based on a uniform resource locator extracted from the identified hyperlink; wherein each of the bubbles comprises a first display area and a second display area; for each of the identified hyperlinks: a) select content for the first display area of the associated bubble type based on the uniform resource locator extracted from the identified hyperlink; and b) select content for the second display area of the bubble type based on the determined context of the identified hyperlink; and convert each of the identified hyperlinks to an enhanced hyperlink for invoking the associated bubble type and content. 15. The system of claim 1 , wherein the content for the second display area of at least one of the plurality of bubble types is selected based on programmatic instructions included in the web page. | 0.596052 |
1. A method for allowing a content-based search of a data archive for files and for image files referenced by the files, the method comprising: extracting information provided in structured documents from a number of files managed by a document management system in an image retrieval system, to produce an inverted index for content-based searching of image files in a digital image database, including elements of at least two attributes, including a location of files responsive to a search query and process steps to be taken based on the query results, and context information held in the files and used for content-based image retrieval; executing a parsing algorithm and an algorithm for extracting features of at least one of new files and one of the files whose content has been at least one of extended and altered when the files are stored in the data archive managed by the document management system for the purpose of updating the inverted index; providing a selection of process steps for further handling of information contained in files which have been found based on the inverted index; sending a context-sensitive query to the document management system to search for documents using the inverted index by inputting context-sensitive search terms using a browser program running on a client computer; transmitting a message from the document management system to a process control system in which the process steps for further handling of the information contained in files which have been found and axe relevant to the search terms entered are requested; forwarding the process steps ascertained by the process control system to the document management system; providing the files found and the process steps to the client computer; viewing the files provided by the document management system and viewing the image files referenced by the files provided; selecting at least one process step which is suitable in consideration of the information viewed; and transmitting at least one of selected and planned process steps, including the elements of the two attributes from the client computer to the process control system on the basis of the content of the documents provided, wherein the process steps are related to at least one of medical examinations, therapeutic treatments and medications for a diagnosis included in the inverted index. | 1. A method for allowing a content-based search of a data archive for files and for image files referenced by the files, the method comprising: extracting information provided in structured documents from a number of files managed by a document management system in an image retrieval system, to produce an inverted index for content-based searching of image files in a digital image database, including elements of at least two attributes, including a location of files responsive to a search query and process steps to be taken based on the query results, and context information held in the files and used for content-based image retrieval; executing a parsing algorithm and an algorithm for extracting features of at least one of new files and one of the files whose content has been at least one of extended and altered when the files are stored in the data archive managed by the document management system for the purpose of updating the inverted index; providing a selection of process steps for further handling of information contained in files which have been found based on the inverted index; sending a context-sensitive query to the document management system to search for documents using the inverted index by inputting context-sensitive search terms using a browser program running on a client computer; transmitting a message from the document management system to a process control system in which the process steps for further handling of the information contained in files which have been found and axe relevant to the search terms entered are requested; forwarding the process steps ascertained by the process control system to the document management system; providing the files found and the process steps to the client computer; viewing the files provided by the document management system and viewing the image files referenced by the files provided; selecting at least one process step which is suitable in consideration of the information viewed; and transmitting at least one of selected and planned process steps, including the elements of the two attributes from the client computer to the process control system on the basis of the content of the documents provided, wherein the process steps are related to at least one of medical examinations, therapeutic treatments and medications for a diagnosis included in the inverted index. 5. The method for allowing a content-based search of a data archive, as claimed in claim 1 , further comprising associating the inverted index with one of an individual patient and a group of patients, wherein the inverted index includes patient data recorded during an examination period. | 0.542243 |
17. A graphical user interface embodied on one or more computer-storage media and executable on a computing device, the graphical user interface comprising a first display area on a user's computer configured for displaying a plurality of search result clusters within a search results page, each of the plurality of search result clusters comprises two or more search results having the same domain, wherein a document ranking associated with each search result is used to determine the two or more search results to include in each of the plurality of search result clusters and the order in which the two or more search results are displayed within each of the plurality of the search result clusters. | 17. A graphical user interface embodied on one or more computer-storage media and executable on a computing device, the graphical user interface comprising a first display area on a user's computer configured for displaying a plurality of search result clusters within a search results page, each of the plurality of search result clusters comprises two or more search results having the same domain, wherein a document ranking associated with each search result is used to determine the two or more search results to include in each of the plurality of search result clusters and the order in which the two or more search results are displayed within each of the plurality of the search result clusters. 20. The graphical user interface of claim 17 , wherein the first display area is further configured for displaying an option to view one or more desired search results pertaining to one of the one or more search result clusters, wherein the one or more desired search results have the same domain as the two or more search results presented in the one of the one or more search result clusters. | 0.732633 |
1. A method of displaying a list of a display apparatus, the method comprising: receiving a user command to display a list of multimedia content; determining at least one multimedia content which matches a pre-stored keyword from among a plurality of multimedia content included in the list, in response to the user command; and displaying the list including the plurality of multimedia content based on the result of the determination, wherein the displayed list displays the pre-stored keyword as overlapping the least one multimedia content matching the pre-stored keyword from among the plurality of multimedia content, and wherein the display apparatus displays a list of information related to a broadcast content which is currently displayed and stores information selected from the list as the pre-stored keyword. | 1. A method of displaying a list of a display apparatus, the method comprising: receiving a user command to display a list of multimedia content; determining at least one multimedia content which matches a pre-stored keyword from among a plurality of multimedia content included in the list, in response to the user command; and displaying the list including the plurality of multimedia content based on the result of the determination, wherein the displayed list displays the pre-stored keyword as overlapping the least one multimedia content matching the pre-stored keyword from among the plurality of multimedia content, and wherein the display apparatus displays a list of information related to a broadcast content which is currently displayed and stores information selected from the list as the pre-stored keyword. 2. The method of claim 1 , wherein the pre-stored keyword is displayed as one of a text icon and a photographic icon. | 0.542565 |
8. The computer-implemented method of claim 7 , wherein the second input is a mouse-click or a touch input at or proximate to a sub-portion of the image. | 8. The computer-implemented method of claim 7 , wherein the second input is a mouse-click or a touch input at or proximate to a sub-portion of the image. 9. The computer-implemented method of claim 8 , wherein the sub-portion of the image corresponds to a sub-title, and wherein the sub-title corresponds to a portion of the audio data. | 0.955998 |
15. A system for providing a graphical user interface, comprising: a processor; and memory storing instructions that, when executed by the processor, cause the system to: provide for electronic display a presentation surface of an application, the presentation surface comprising at least a first region and a second region, the first region being arranged for display of search results responsive to execution of a search query, and the second region including a whiteboard; detect, in connection with one or more selected search results displayed in the first region that represent one or more information resources, user input for a drag and drop operation between the first region and the second region; when the drag and drop operation is from the first region to the second region and responsive to detection of the drag and drop operation, updating for display at least the whiteboard of the second region to include information representing the one or more information resources represented by the one or more selected search results; and when the drag and drop operation is from the second region to the first region and responsive to detection of the drag and drop operation, updating at least the first region with search results associated with content of the second region corresponding with the drag and drop operation. | 15. A system for providing a graphical user interface, comprising: a processor; and memory storing instructions that, when executed by the processor, cause the system to: provide for electronic display a presentation surface of an application, the presentation surface comprising at least a first region and a second region, the first region being arranged for display of search results responsive to execution of a search query, and the second region including a whiteboard; detect, in connection with one or more selected search results displayed in the first region that represent one or more information resources, user input for a drag and drop operation between the first region and the second region; when the drag and drop operation is from the first region to the second region and responsive to detection of the drag and drop operation, updating for display at least the whiteboard of the second region to include information representing the one or more information resources represented by the one or more selected search results; and when the drag and drop operation is from the second region to the first region and responsive to detection of the drag and drop operation, updating at least the first region with search results associated with content of the second region corresponding with the drag and drop operation. 18. The system of claim 15 , wherein the memory further stores instructions that, when executed by the processor, cause the system to group contents of the second region. | 0.654774 |
3. The method of claim 1 wherein presenting on a computer screen a plurality of sample tax documents comprises displaying images with textual descriptions of said plurality of tax documents. | 3. The method of claim 1 wherein presenting on a computer screen a plurality of sample tax documents comprises displaying images with textual descriptions of said plurality of tax documents. 4. The method of claim 3 wherein determining said computer user's selection of at least one of said plurality of sample tax documents comprises determining which of said plurality of sample tax documents said computer user has selected from said images with said textual descriptions of said plurality of sample tax documents. | 0.879779 |
13. The system according to claim 11 , wherein: the expertise module first transmits a request code to the artificial language intelligence, the request code containing at least information regarding the expertise module, the extracted concept categories to be processed and the expert knowledge module; the artificial language intelligence subsequently processes the request code, thereby selecting a cognitive comparison routine from the pool of cognitive routines, said cognitive comparison routine determined by the combination of information contained in the request code, extracts information from the expert knowledge module in consideration of the extracted concept categories to be processed, and transmits the cognitive comparison routine and the information extracted from the expert knowledge module to the expertise module; and the expertise module compares the reconstructed meaning of said linguistically provided information with said information extracted from the expert knowledge module in consideration of said cognitive comparison routine. | 13. The system according to claim 11 , wherein: the expertise module first transmits a request code to the artificial language intelligence, the request code containing at least information regarding the expertise module, the extracted concept categories to be processed and the expert knowledge module; the artificial language intelligence subsequently processes the request code, thereby selecting a cognitive comparison routine from the pool of cognitive routines, said cognitive comparison routine determined by the combination of information contained in the request code, extracts information from the expert knowledge module in consideration of the extracted concept categories to be processed, and transmits the cognitive comparison routine and the information extracted from the expert knowledge module to the expertise module; and the expertise module compares the reconstructed meaning of said linguistically provided information with said information extracted from the expert knowledge module in consideration of said cognitive comparison routine. 15. The system according to claim 13 , wherein a valid reconstructed meaning of said linguistically provided information is processed via a virtual realization module. | 0.835911 |
31. A non-transitory computer-readable storage medium having stored thereon program instructions that, when executed, cause a processor of a device to perform operations comprising: displaying an interface; receiving, via the interface, user entry of a first portion of text for a search query; in response to receiving the first portion of the text: displaying a first set of localized results retrieved based on the first portion of text without displaying remote search results from a remote search engine; while displaying the first set of localized results, receiving a second portion of text for the search query; in response to receiving the second portion of the text: in accordance with a determination that the first portion of text and the second portion of text together include more than a predetermined number of characters, wherein the predetermined number of characters is greater than 1 and is based on a low battery state of a battery, concurrently display a plurality of results that include: a set of results received from an Internet search engine; and a second set of localized results associated with one or more applications on the device retrieved based on the first portion of the text and the second portion of the text. | 31. A non-transitory computer-readable storage medium having stored thereon program instructions that, when executed, cause a processor of a device to perform operations comprising: displaying an interface; receiving, via the interface, user entry of a first portion of text for a search query; in response to receiving the first portion of the text: displaying a first set of localized results retrieved based on the first portion of text without displaying remote search results from a remote search engine; while displaying the first set of localized results, receiving a second portion of text for the search query; in response to receiving the second portion of the text: in accordance with a determination that the first portion of text and the second portion of text together include more than a predetermined number of characters, wherein the predetermined number of characters is greater than 1 and is based on a low battery state of a battery, concurrently display a plurality of results that include: a set of results received from an Internet search engine; and a second set of localized results associated with one or more applications on the device retrieved based on the first portion of the text and the second portion of the text. 33. The non-transitory computer-readable medium of claim 31 , wherein an application of the one or more applications is a map applet, and in response to selection of a respective result in the first set of localized results, displaying a map showing a location that corresponds to the respective result. | 0.658879 |
13. The non-transitory computer-readable medium of claim 11 , wherein the first encoding format is 8-bit Unicode Transformation Format (UTF-8) and the second encoding format is Windows-1252 (Win-1252). | 13. The non-transitory computer-readable medium of claim 11 , wherein the first encoding format is 8-bit Unicode Transformation Format (UTF-8) and the second encoding format is Windows-1252 (Win-1252). 14. The non-transitory computer-readable medium of claim 13 wherein the sequence of code point values consisting of the first code point value followed by the second code point value followed by the third code point value represents a three-byte character encoded in UTF-8 encoding format. | 0.894068 |
3. The method of claim 1 , further comprising: sorting the one or more matched fields according to the determined aggregate weights; at least partially forming one or more search tables corresponding to the one or more search values; and at least partially forming one or more base tables corresponding to the one or more fields of the plurality of records of the linked hierarchical database; and wherein the merging, based at least in part on determining the aggregate weights, comprises combining at least a portion of the one or more search tables and the one or more base tables to form the merged table. | 3. The method of claim 1 , further comprising: sorting the one or more matched fields according to the determined aggregate weights; at least partially forming one or more search tables corresponding to the one or more search values; and at least partially forming one or more base tables corresponding to the one or more fields of the plurality of records of the linked hierarchical database; and wherein the merging, based at least in part on determining the aggregate weights, comprises combining at least a portion of the one or more search tables and the one or more base tables to form the merged table. 4. The method of claim 3 , wherein at least partially forming the one or more base tables comprises at least partially forming tables having multiple fields and wherein the base tables comprise record identifiers for each entity in the hierarchy and wherein the method further comprises sorting each entity in the hierarchy by an associated hierarchy level, wherein the sorting each entity in the hierarchy by the associated hierarchy level comprises progressively sorting each entity in the hierarchy by each hierarchy level from a highest level to a lowest level in the hierarchy. | 0.874516 |
39. The system of claim 35 in which the agent parses the content of the electronic document to identify the characters represented in the document. | 39. The system of claim 35 in which the agent parses the content of the electronic document to identify the characters represented in the document. 40. The system of claim 39 in which the agent filters the identified characters represented in the electronic document to identify each unique character for each of the one or more fonts included in the content of the electronic document. | 0.862723 |
3. The bone anchor assembly of claim 1 , wherein the bone attachment structure upper head portion is held in the receiver cavity by a separate retainer. | 3. The bone anchor assembly of claim 1 , wherein the bone attachment structure upper head portion is held in the receiver cavity by a separate retainer. 6. The bone anchor assembly of claim 3 , wherein the retainer is non-pivoting with respect to the receiver. | 0.980037 |
1. A non-transitory computer readable medium having computer readable program code embodied therein for causing a computer to control the position of a visual pointer using an eye tracking apparatus by: receiving input from the eye tracking apparatus; moving a visual pointer from a first location to a second location that corresponds to a user's gaze position based on the input received from the eye tracking apparatus; providing a visual indicator between the first location and the second location; automatically changing the visual indicator to a reading guide in response to the eye tracking apparatus recognizing a user's gaze position pattern as a read mode, where the reading guide is located in a margin at the beginning of a line of text that is read; repositioning the reading guide in response to the eye tracking apparatus determining that the user approaches the end of a line of text; and in response to the eye tracking apparatus determining that the user's gaze positions are one of slowing down or stopping on a link in the text, exiting the read mode and changing the visual indicator to a pointer for a pointing device to enable the user to click on the link. | 1. A non-transitory computer readable medium having computer readable program code embodied therein for causing a computer to control the position of a visual pointer using an eye tracking apparatus by: receiving input from the eye tracking apparatus; moving a visual pointer from a first location to a second location that corresponds to a user's gaze position based on the input received from the eye tracking apparatus; providing a visual indicator between the first location and the second location; automatically changing the visual indicator to a reading guide in response to the eye tracking apparatus recognizing a user's gaze position pattern as a read mode, where the reading guide is located in a margin at the beginning of a line of text that is read; repositioning the reading guide in response to the eye tracking apparatus determining that the user approaches the end of a line of text; and in response to the eye tracking apparatus determining that the user's gaze positions are one of slowing down or stopping on a link in the text, exiting the read mode and changing the visual indicator to a pointer for a pointing device to enable the user to click on the link. 2. A computer readable medium as in claim 1 , wherein the visual indicator comprises a substantially linear display element. | 0.807099 |
8. An apparatus, comprising: one or more processors; one or more network interfaces; a memory for tangibly storing thereon program logic for execution by the processor, the program logic comprising: detecting logic executed by the processor for detecting the presence of a first user of an online social network; delivering logic executed by the processor for delivering content to the first user via the one or more network interfaces, the content allowing enhancement by the first user; receiving logic executed by the processor for receiving via the one or more network interfaces one or more enhancements to the content by the first user; detecting logic executed by the processor for detecting via the one or more network interfaces the presence of a second user on the social network, the second user different than the first user, the detecting the presence of the second user comprising detecting that a first client node to which the content may be displayed is geographically proximate to a second client node associated with the second user; determining logic executed by the processor for determining a social context of the second user, the social context comprising data associated with the second user with respect to the social network, the data associated with the second user with respect to the social network comprising data related to an interaction with the particular content by friends or contacts of the second user; modifying logic executed by the processor for modifying the content, the modifying based on the determined social context of the second user and the one or more enhancements to the content by the first user; notifying logic executed by the processor for notifying the second user that the content has been modified by the first user, the notifying comprising displaying at least a portion of the modified content; and delivering logic executed by the processor for delivering the modified content to the second user via the one or more network interfaces, the delivering comprising displaying the modified content to the first client node in response to the determination that the first client node is geographically proximate to the second client node. | 8. An apparatus, comprising: one or more processors; one or more network interfaces; a memory for tangibly storing thereon program logic for execution by the processor, the program logic comprising: detecting logic executed by the processor for detecting the presence of a first user of an online social network; delivering logic executed by the processor for delivering content to the first user via the one or more network interfaces, the content allowing enhancement by the first user; receiving logic executed by the processor for receiving via the one or more network interfaces one or more enhancements to the content by the first user; detecting logic executed by the processor for detecting via the one or more network interfaces the presence of a second user on the social network, the second user different than the first user, the detecting the presence of the second user comprising detecting that a first client node to which the content may be displayed is geographically proximate to a second client node associated with the second user; determining logic executed by the processor for determining a social context of the second user, the social context comprising data associated with the second user with respect to the social network, the data associated with the second user with respect to the social network comprising data related to an interaction with the particular content by friends or contacts of the second user; modifying logic executed by the processor for modifying the content, the modifying based on the determined social context of the second user and the one or more enhancements to the content by the first user; notifying logic executed by the processor for notifying the second user that the content has been modified by the first user, the notifying comprising displaying at least a portion of the modified content; and delivering logic executed by the processor for delivering the modified content to the second user via the one or more network interfaces, the delivering comprising displaying the modified content to the first client node in response to the determination that the first client node is geographically proximate to the second client node. 9. The apparatus of claim 8 , wherein the content includes an interactive rich media file. | 0.70292 |
14. The article of manufacture of claim 13 , wherein each of the selected audible versions of stories was generated by either recording a human verbal reading or by the text-to-speech system, and wherein the references to the selected audible versions of stories are ordered in the playlist so that references to verbally read stories are interspersed with references to text-to-speech generated stories. | 14. The article of manufacture of claim 13 , wherein each of the selected audible versions of stories was generated by either recording a human verbal reading or by the text-to-speech system, and wherein the references to the selected audible versions of stories are ordered in the playlist so that references to verbally read stories are interspersed with references to text-to-speech generated stories. 16. The article of manufacture of claim 14 , wherein ordering the references comprises grouping the verbally read stories in a particular location in the playlist. | 0.870477 |
1. A system comprising: a plurality of machine translation resource servers, each machine translation resource server storing and operable to serve a partition of a collection of machine translation resource data for translation from a source language to a target language, the respective partitions together constituting the collection of machine translation resource data and each respective partition being less than the collection of machine translation resource data; and at least one translation server operable to receive source text in the source language to be translated into the target language, the translation server further operable to obtain machine translation resource data from the plurality of machine translation resource servers and to use the obtained machine translation resource data to translate the source text into the target language, wherein the plurality of machine translation resource servers comprise: a plurality of language model servers each storing and operable to serve a partition of a language model for the target language, each partition being less than the entire language model and the respective partitions together constituting the entire language model, and a translation model server storing and operable to serve to the translation server a translation model for translation between the source language and the target language, and wherein the translation server is operable to: i) obtain translation model data from the translation model server, ii) translate the source text into a set of possible translations based on the translation model data, iii) obtain language model data from at least one of the partitions of the language model based on the set of possible translations, the language model data matching at least one token in at least one possible translation of the set of possible translations, and iv) determine a translation of the source text based on the obtained language model data and the set of possible translations. | 1. A system comprising: a plurality of machine translation resource servers, each machine translation resource server storing and operable to serve a partition of a collection of machine translation resource data for translation from a source language to a target language, the respective partitions together constituting the collection of machine translation resource data and each respective partition being less than the collection of machine translation resource data; and at least one translation server operable to receive source text in the source language to be translated into the target language, the translation server further operable to obtain machine translation resource data from the plurality of machine translation resource servers and to use the obtained machine translation resource data to translate the source text into the target language, wherein the plurality of machine translation resource servers comprise: a plurality of language model servers each storing and operable to serve a partition of a language model for the target language, each partition being less than the entire language model and the respective partitions together constituting the entire language model, and a translation model server storing and operable to serve to the translation server a translation model for translation between the source language and the target language, and wherein the translation server is operable to: i) obtain translation model data from the translation model server, ii) translate the source text into a set of possible translations based on the translation model data, iii) obtain language model data from at least one of the partitions of the language model based on the set of possible translations, the language model data matching at least one token in at least one possible translation of the set of possible translations, and iv) determine a translation of the source text based on the obtained language model data and the set of possible translations. 35. The system of claim 1 , wherein: the translation server comprises a statistical machine translation server. | 0.740272 |
1. A computer-implemented method comprising: receiving, with a computer system including at least one computer on a network, a request for an advertisement to be displayed on a Web page; receiving, with the computer system, information about the Web page, wherein the information is received from a source other than the Web page, and the information is not included in content of the Web page, the Web page including at least one advertising area for an advertisement; generating, with the computer system, an advertisement and additional content that is based on a source that differs from a source of the advertisement, the advertisement and the additional content being generated using the information about the Web page, the information received from the source other than the Web page, and information received from the source that differs from the source of the advertisement, wherein generating the additional content includes generating the additional content about a product or a service that is represented in the advertisement or a link to a webpage having content related to the product or the service; and serving, with the computer system, the generated advertisement in the advertising area or in proximity to the advertising area, to induce display of the generated advertisement and the generated additional content related to the information, received from the source other than the Web page, about the Web page, in association with the Web page, on a user device, wherein serving the generated advertisement in the advertising area or in proximity to the advertising area comprises encapsulating the generated additional content within the generated advertisement. | 1. A computer-implemented method comprising: receiving, with a computer system including at least one computer on a network, a request for an advertisement to be displayed on a Web page; receiving, with the computer system, information about the Web page, wherein the information is received from a source other than the Web page, and the information is not included in content of the Web page, the Web page including at least one advertising area for an advertisement; generating, with the computer system, an advertisement and additional content that is based on a source that differs from a source of the advertisement, the advertisement and the additional content being generated using the information about the Web page, the information received from the source other than the Web page, and information received from the source that differs from the source of the advertisement, wherein generating the additional content includes generating the additional content about a product or a service that is represented in the advertisement or a link to a webpage having content related to the product or the service; and serving, with the computer system, the generated advertisement in the advertising area or in proximity to the advertising area, to induce display of the generated advertisement and the generated additional content related to the information, received from the source other than the Web page, about the Web page, in association with the Web page, on a user device, wherein serving the generated advertisement in the advertising area or in proximity to the advertising area comprises encapsulating the generated additional content within the generated advertisement. 2. The computer-implemented method of claim 1 wherein the information received from the source other than the Web page are search results. | 0.504942 |
13. A system for printing a document, comprising: a printing device that is operative to print the document; a mobile device, comprising: a network interface that is arranged to communicate information over a network; a memory that is operative to store and provide access to information; a processor that executes instructions that enable actions, including: receiving the document, wherein the document includes text and identifies at least one target font reference for each character; determining if a name of the target font reference is listed in a font strategy table, then employing at least one of a corresponding logic component, substitute font data, and character data to provide substitute font information and width for each character to the printing device; determining if the name of the target font reference is unlisted in the font strategy table, then updating the font strategy table to include the name of the unlisted target font reference, wherein each updated target font reference corresponds to at least one logic component, substitute font data or character data; generating a first character table for the target font reference that includes at least a glyph index and a unicode; generating a second character table for the target font reference that includes at least a width and a glyph name; and enabling the printing device to employ provided font information and width for each character to print text included in the document. | 13. A system for printing a document, comprising: a printing device that is operative to print the document; a mobile device, comprising: a network interface that is arranged to communicate information over a network; a memory that is operative to store and provide access to information; a processor that executes instructions that enable actions, including: receiving the document, wherein the document includes text and identifies at least one target font reference for each character; determining if a name of the target font reference is listed in a font strategy table, then employing at least one of a corresponding logic component, substitute font data, and character data to provide substitute font information and width for each character to the printing device; determining if the name of the target font reference is unlisted in the font strategy table, then updating the font strategy table to include the name of the unlisted target font reference, wherein each updated target font reference corresponds to at least one logic component, substitute font data or character data; generating a first character table for the target font reference that includes at least a glyph index and a unicode; generating a second character table for the target font reference that includes at least a width and a glyph name; and enabling the printing device to employ provided font information and width for each character to print text included in the document. 17. The system of claim 13 , wherein the processor performs further actions including if the name of the target font reference is listed in the font strategy table, further determining if the font strategy table identifies a downloadable font, then providing the downloadable font information and width for each character to the printing device. | 0.513201 |
20. A computer system comprising a processor coupled to a memory, wherein the memory is encoded with computer executable instructions that when executed cause the processor to: identify a propagating attribute associated with a parse item of a plurality of parse items, the plurality of parse items arranged in an ordered data structure; determine a direction of propagation of the propagating attribute within the ordered data structure; and selectively associate the propagating attribute with each parse item of the plurality of parse items located in the direction of propagation within the ordered data structure. | 20. A computer system comprising a processor coupled to a memory, wherein the memory is encoded with computer executable instructions that when executed cause the processor to: identify a propagating attribute associated with a parse item of a plurality of parse items, the plurality of parse items arranged in an ordered data structure; determine a direction of propagation of the propagating attribute within the ordered data structure; and selectively associate the propagating attribute with each parse item of the plurality of parse items located in the direction of propagation within the ordered data structure. 27. The computer system of claim 20 , wherein the instructions to determine a direction of propagation of the propagating attribute within the ordered data structure further cause the processor to: determine a number of parse items of the plurality of parse items in a first direction of propagation; and determine a number of parse items of the plurality of parse items in a second direction of propagation. | 0.655514 |
19. An electronic device, comprising: means for receiving an input sound; means for detecting speech spoken by a user in the input sound; means for determining first characteristics of an identified first frequency range of the speech and second characteristics of an identified second frequency range of the speech in response to detecting the speech, the second frequency range differing from the first frequency range; means for processing information, the means for processing information including means for determining a direction of the speech and being configured to recognize a command in the speech based on an indication of speech direction detection, wherein the means for determining the direction of the speech is configured to determine whether a direction of departure of the speech is toward the electronic device based on the first characteristics and based on the second characteristics; and means for initiating a function associated with the recognized command at the electronic device in response to the determination of whether the direction of departure of the speech is toward the electronic device based on the first characteristics and based on the second characteristics. | 19. An electronic device, comprising: means for receiving an input sound; means for detecting speech spoken by a user in the input sound; means for determining first characteristics of an identified first frequency range of the speech and second characteristics of an identified second frequency range of the speech in response to detecting the speech, the second frequency range differing from the first frequency range; means for processing information, the means for processing information including means for determining a direction of the speech and being configured to recognize a command in the speech based on an indication of speech direction detection, wherein the means for determining the direction of the speech is configured to determine whether a direction of departure of the speech is toward the electronic device based on the first characteristics and based on the second characteristics; and means for initiating a function associated with the recognized command at the electronic device in response to the determination of whether the direction of departure of the speech is toward the electronic device based on the first characteristics and based on the second characteristics. 21. The electronic device of claim 19 , wherein: the first characteristics include a first energy value associated with the first frequency range, and the second characteristics include a second energy value associated with the second frequency range. | 0.594811 |
1. A method for detection of signature marks in a document, comprising: selecting candidate text objects for each of an ordered set of optical character recognition (OCR) processed document pages; providing for identifying sequences of elements in the candidate text objects, each detected element of an identified sequence occurring on a different page of the document, the sequence having a numbering pattern including an incremental part and optionally a fixed part, missing elements between two detected elements of the sequence being permitted; for an identified sequence: generating a model of the sequence, the model including: the numbering pattern of the sequence, an increment, which is computed based on the distance between pages on which consecutive elements of the sequence are identified, a valid sequence having an increment of greater than 1, and a first page, which corresponds to a page of the document on which the sequence starts; validating the sequence with the model; and for a valid sequence, identifying elements of the sequence in the pages of the document as signature marks. | 1. A method for detection of signature marks in a document, comprising: selecting candidate text objects for each of an ordered set of optical character recognition (OCR) processed document pages; providing for identifying sequences of elements in the candidate text objects, each detected element of an identified sequence occurring on a different page of the document, the sequence having a numbering pattern including an incremental part and optionally a fixed part, missing elements between two detected elements of the sequence being permitted; for an identified sequence: generating a model of the sequence, the model including: the numbering pattern of the sequence, an increment, which is computed based on the distance between pages on which consecutive elements of the sequence are identified, a valid sequence having an increment of greater than 1, and a first page, which corresponds to a page of the document on which the sequence starts; validating the sequence with the model; and for a valid sequence, identifying elements of the sequence in the pages of the document as signature marks. 14. The method of claim 1 , further comprising comparing a model generated for a first of the sequences with a model for a second of the sequences and combining the first and second sequences when the comparison identifies the models as being equivalent. | 0.582985 |
18. The non-transitory computer-readable medium of claim 1 , wherein before executing the code, the computer-readable instructions further cause the computing device to: identify relationship information from the loaded model that is associated with the described business rule; determine that the identified relationship information defines an assigned filter; and write assigned filters code to the replication code file based on the identified relationship information. | 18. The non-transitory computer-readable medium of claim 1 , wherein before executing the code, the computer-readable instructions further cause the computing device to: identify relationship information from the loaded model that is associated with the described business rule; determine that the identified relationship information defines an assigned filter; and write assigned filters code to the replication code file based on the identified relationship information. 19. The non-transitory computer-readable medium of claim 18 , wherein before executing the code, the computer-readable instructions further cause the computing device to: write assigned filters folder code to the replication code file based on the identified relationship information before writing the assigned filters code. | 0.850684 |
20. A computer-readable medium comprising instructions executable to specify textual input for a computing device using a multi-directional input device, the instructions being executable to: display a first matrix comprising a plurality of rows and a plurality of columns of predicted text; display a second matrix comprising a plurality of rows and a plurality of columns that include groups of characters; determine a swipe angle of a directional swipe received at a multi-directional input device; identify the associated angle closest to the swipe angle; move a first highlighted region within the first matrix to highlight a first predicted text from the plurality of predicted text, the first highlighted region moving in a direction of the associated angle; while moving the first highlighted region, move a second highlighted region within the second matrix to highlight a first group of characters from the groups of characters, the second highlighted region moving in the direction of the associated angle; in response to determining that the first predicted text is selected, sending the first predictive text to a text submission area; in response to sending the first predictive text to the text submission area: move the first highlighted region to a centered predicted text of the plurality of predicted text; and move the second highlighted region to a centered group of characters of the groups of characters while moving the first highlighted region to the centered predicted text. | 20. A computer-readable medium comprising instructions executable to specify textual input for a computing device using a multi-directional input device, the instructions being executable to: display a first matrix comprising a plurality of rows and a plurality of columns of predicted text; display a second matrix comprising a plurality of rows and a plurality of columns that include groups of characters; determine a swipe angle of a directional swipe received at a multi-directional input device; identify the associated angle closest to the swipe angle; move a first highlighted region within the first matrix to highlight a first predicted text from the plurality of predicted text, the first highlighted region moving in a direction of the associated angle; while moving the first highlighted region, move a second highlighted region within the second matrix to highlight a first group of characters from the groups of characters, the second highlighted region moving in the direction of the associated angle; in response to determining that the first predicted text is selected, sending the first predictive text to a text submission area; in response to sending the first predictive text to the text submission area: move the first highlighted region to a centered predicted text of the plurality of predicted text; and move the second highlighted region to a centered group of characters of the groups of characters while moving the first highlighted region to the centered predicted text. 21. The computer-readable medium of claim 20 , wherein the first highlighted region displays visual indicia on the display screen to distinguish the first predicted text from other predicted text. | 0.803502 |
8. An apparatus for searching a document collection, comprising: a memory for storing processing instructions of an apparatus; and a processor coupled to the memory for executing the processing instructions of the apparatus, the processor in executing the processing instructions: transforming a plurality of document identifiers for documents and their associated set of user generated tags comprising keyword content of the documents and annotations independent of content into a set of URL/TAG pairs; identifying one or more errors within the user generated tags; correcting the one or more errors; constructing a bigraph using the set of URL/TAG pairs; using the bigraph to compute tag profiles and document profiles using spreading activation for the document identifiers and tags in the set of URL/TAG pairs, wherein the tag profiles and document profiles are computed using spreading activation iteratively as vector A as follows: A [ 1 ] = E ; A [ 2 ] = α M * A [ 1 ] + β E ; ⋮ A [ n ] = α M * A [ n - 1 ] + β E ; where: A[ 1 ], A[ 2 ], . . . A[n] are iteratively computed profile vectors of document identifiers and tags; E is a unit vector representing a tag or document entry node; M is a matrix representation of the bigraph arranged by column or row according to the selected entry node; α and β are parameters for adjusting spreading activation; for a selected tag or document, identifying the tag profile or the document profile associated with the selected tag or document, respectively; arranging by relevance those tags or documents in the identified tag profile or document profile associated with the selected tag or document, respectively; ranking the document profile of the selected document against other document profiles to identify similar profiles of other documents; identifying for output the other documents of the similar profiles ranked above a predefined threshold; and augmenting the other documents of the similar profiles above the predefined threshold by propagating the user generated tags of the selected document to the other documents. | 8. An apparatus for searching a document collection, comprising: a memory for storing processing instructions of an apparatus; and a processor coupled to the memory for executing the processing instructions of the apparatus, the processor in executing the processing instructions: transforming a plurality of document identifiers for documents and their associated set of user generated tags comprising keyword content of the documents and annotations independent of content into a set of URL/TAG pairs; identifying one or more errors within the user generated tags; correcting the one or more errors; constructing a bigraph using the set of URL/TAG pairs; using the bigraph to compute tag profiles and document profiles using spreading activation for the document identifiers and tags in the set of URL/TAG pairs, wherein the tag profiles and document profiles are computed using spreading activation iteratively as vector A as follows: A [ 1 ] = E ; A [ 2 ] = α M * A [ 1 ] + β E ; ⋮ A [ n ] = α M * A [ n - 1 ] + β E ; where: A[ 1 ], A[ 2 ], . . . A[n] are iteratively computed profile vectors of document identifiers and tags; E is a unit vector representing a tag or document entry node; M is a matrix representation of the bigraph arranged by column or row according to the selected entry node; α and β are parameters for adjusting spreading activation; for a selected tag or document, identifying the tag profile or the document profile associated with the selected tag or document, respectively; arranging by relevance those tags or documents in the identified tag profile or document profile associated with the selected tag or document, respectively; ranking the document profile of the selected document against other document profiles to identify similar profiles of other documents; identifying for output the other documents of the similar profiles ranked above a predefined threshold; and augmenting the other documents of the similar profiles above the predefined threshold by propagating the user generated tags of the selected document to the other documents. 14. The apparatus according to claim 8 , where the plurality of document identifiers is a bookmark collection, with each bookmark in the bookmark collection identifying a document with an identifier that has associated therewith a set of tags. | 0.508636 |
1. A method for providing a context-aware service of a user device, the method comprising: receiving, by an input unit of the user device, a first user input according to a guidance provided by the user device, the first user input being at least one of a natural language-based text input or a natural language-based speech input; in response to receiving the first user input, parsing the received first user input to extract and identifying a condition, an action corresponding to the condition, and a command, wherein the action is a function executable by one or more applications of the user device; defining a rule including the condition and the action corresponding to the condition based on the parsed first user input; mapping the command to the rule in response to the defining of the rule; storing the rule and the mapped command in at least one of the user device or a server; receiving, by the input unit, a second user input, wherein the second user input is one of a natural language-based text input or a natural language based speech input; and in response to receiving the second user input: determining whether the second user input corresponds to the command; activating, if the second user input corresponds to the command, the rule to detect, by a sensor of the user device, a context of the user device; and executing, if the detected context corresponds to the condition of the rule, the action corresponding to the condition. | 1. A method for providing a context-aware service of a user device, the method comprising: receiving, by an input unit of the user device, a first user input according to a guidance provided by the user device, the first user input being at least one of a natural language-based text input or a natural language-based speech input; in response to receiving the first user input, parsing the received first user input to extract and identifying a condition, an action corresponding to the condition, and a command, wherein the action is a function executable by one or more applications of the user device; defining a rule including the condition and the action corresponding to the condition based on the parsed first user input; mapping the command to the rule in response to the defining of the rule; storing the rule and the mapped command in at least one of the user device or a server; receiving, by the input unit, a second user input, wherein the second user input is one of a natural language-based text input or a natural language based speech input; and in response to receiving the second user input: determining whether the second user input corresponds to the command; activating, if the second user input corresponds to the command, the rule to detect, by a sensor of the user device, a context of the user device; and executing, if the detected context corresponds to the condition of the rule, the action corresponding to the condition. 9. The method of claim 1 , further comprising: determining whether supplementary information is necessary for identifying the condition, the action corresponding to the condition, or the command; displaying, when it is determined that supplementary information is necessary for identifying the condition, the action corresponding to the condition, or the command, a query to prompt the user to provide supplementary information necessary for identifying the condition, the action corresponding to the condition, or the command; and receiving the second user input in response to the query, wherein the query is not displayed when it is determined that supplementary information is not necessary for identifying the condition, the action corresponding to the condition, or the command. | 0.5 |
3. The apparatus according to claim 2 , wherein said speaker arrangement is dimensioned to be seated on a vehicle seat and to propagate speech output from a position corresponding to the mouth of an average-sized human seated in the vehicle. | 3. The apparatus according to claim 2 , wherein said speaker arrangement is dimensioned to be seated on a vehicle seat and to propagate speech output from a position corresponding to the mouth of an average-sized human seated in the vehicle. 4. The apparatus according to claim 3 , wherein said speaker arrangement comprises a torso portion and a head portion, said torso portion being dimensioned substantially similar to an average human torso and said head portion being dimensioned substantially similarly to an average human head, wherein speech output propagates from said head portion from a position corresponding to a human mouth. | 0.912418 |
18. A method for transmitting a message to a secondary computing device, the method comprising: receiving a communication message at a primary computing device of a user; transmitting a default response option, from the primary computing device to the secondary computing device, to respond to the communication message based on a context of the user, the context of the user determined by using a sensor included in the primary computing device; identifying a message mode for communicating with a secondary computing device of the user based on a context of the user determined by using a sensor included in the primary computing device the primary computing device; and determining that the communication message is to be transmitted to the secondary computing device of the user based on the message mode, and based on the determining: translating the communication message into a translated message according to the message mode, the translating comprising truncating content of the communication message; and transmitting the translated e, sage to the secondary computing device from the primary computing device. | 18. A method for transmitting a message to a secondary computing device, the method comprising: receiving a communication message at a primary computing device of a user; transmitting a default response option, from the primary computing device to the secondary computing device, to respond to the communication message based on a context of the user, the context of the user determined by using a sensor included in the primary computing device; identifying a message mode for communicating with a secondary computing device of the user based on a context of the user determined by using a sensor included in the primary computing device the primary computing device; and determining that the communication message is to be transmitted to the secondary computing device of the user based on the message mode, and based on the determining: translating the communication message into a translated message according to the message mode, the translating comprising truncating content of the communication message; and transmitting the translated e, sage to the secondary computing device from the primary computing device. 19. The method of claim 18 , wherein determining that the communication message is to be transmitted comprises: comparing a type of communication message permitted for transmittal to the secondary computing device, according to the message mode, with a type of the received communication message. | 0.572757 |
1. A computer-readable storage medium in a content management system, comprising computer instructions for: retrieving at least one of a first plurality of records, each comprising content; receiving a user input of contextual information; storing the contextual information; determining a rhetorical purpose for the content of each record by comparing the content with the contextual information; associating at least one rhetorical topic library with the content of each record according to the content's determined rhetorical purpose; parsing the content of each record into a combination of one or more rhetorical and structural elements by utilizing the at least one rhetorical topic library associated with said content; and storing the rhetorical elements each with an identifiable functional attribute for association with a portion of the at least one rhetorical topic library. | 1. A computer-readable storage medium in a content management system, comprising computer instructions for: retrieving at least one of a first plurality of records, each comprising content; receiving a user input of contextual information; storing the contextual information; determining a rhetorical purpose for the content of each record by comparing the content with the contextual information; associating at least one rhetorical topic library with the content of each record according to the content's determined rhetorical purpose; parsing the content of each record into a combination of one or more rhetorical and structural elements by utilizing the at least one rhetorical topic library associated with said content; and storing the rhetorical elements each with an identifiable functional attribute for association with a portion of the at least one rhetorical topic library. 7. The storage medium of claim 1 , comprising computer instructions for identifying at least one pattern in the content of each record with at least one keyword corresponding to the at least one rhetorical topic library associated with said content. | 0.658807 |
1. A user-interface method for selecting a subset of items from a collection of items in response to search criteria including keystrokes entered by a user from a keypad and including metadata associated with a previously selected search result, the method comprising: a. receiving a sequence of keystrokes entered by a user searching for desired items, each keystroke of the sequence associated with an alphabetical or numerical symbol, wherein the symbols associated with each keystroke of the sequence of keystrokes represent at least a portion of a sequence of symbols representing the desired items; b. in response to receiving the keystrokes, performing a first search operation on the collection of items based on the sequence of keystrokes to retrieve a first subset of items from the collection of items and corresponding metadata associated with the first subset of items, wherein the metadata associated with each item of the first subset of items matches the symbols in association with each keystroke of the sequence of keystrokes; c. presenting on a display device the first subset of items; d. receiving a selection of one of the items of the first subset of items from the user; e. in response to a locking operation received from the user, performing a second search operation on the collection of items based on at least a portion of the metadata associated with the selected item to retrieve a second subset of items from the collection of items, wherein at least a portion of the metadata associated with each item of the second subset of items matches the portion of the metadata associated with the selected item; and f. presenting on the display device the second subset of items. | 1. A user-interface method for selecting a subset of items from a collection of items in response to search criteria including keystrokes entered by a user from a keypad and including metadata associated with a previously selected search result, the method comprising: a. receiving a sequence of keystrokes entered by a user searching for desired items, each keystroke of the sequence associated with an alphabetical or numerical symbol, wherein the symbols associated with each keystroke of the sequence of keystrokes represent at least a portion of a sequence of symbols representing the desired items; b. in response to receiving the keystrokes, performing a first search operation on the collection of items based on the sequence of keystrokes to retrieve a first subset of items from the collection of items and corresponding metadata associated with the first subset of items, wherein the metadata associated with each item of the first subset of items matches the symbols in association with each keystroke of the sequence of keystrokes; c. presenting on a display device the first subset of items; d. receiving a selection of one of the items of the first subset of items from the user; e. in response to a locking operation received from the user, performing a second search operation on the collection of items based on at least a portion of the metadata associated with the selected item to retrieve a second subset of items from the collection of items, wherein at least a portion of the metadata associated with each item of the second subset of items matches the portion of the metadata associated with the selected item; and f. presenting on the display device the second subset of items. 3. The method of claim 1 , wherein the metadata term associated with the selected item is a metadata term describing a concept associated with the selected item of the first subset so that only items associated with the concept of the selected item are selected and presented in the subsequent searching and presenting steps. | 0.57263 |
1. A system of a global neighborhood environment comprising: a computer server of the global neighborhood environment: the computer server including one or more computers having non-transitory instructions stored thereon that when executed cause the one or more computers: to verify that a user lives at a residence associated with a geographic location claimed by the user of the global neighborhood environment using a processor and a memory, to create a social network page of the user once verified, to enable the user to constrain a communication to neighboring users within a geospatial vicinity of the residence of the user based on a neighborhood boundary, to distribute a message in a distance away from the residence of the user based on the neighborhood boundary, to provide an additional privilege as a lead user in the online community of the global neighborhood environment based on at least one of a participation level of the user in the online community and an activity level of the user associated with encouraging neighbors to participate in the online community, and to automatically determine a set of access privileges in the online community associated with each user of the online community by constraining access in private web sites of the online community to neighboring users based on each residence associated with each geographic location claimed by each user of the global neighborhood environment, wherein the one or more computers to permit the user to set a privacy setting associated with a profile data of the user such that a certain information is marked as private and is therefore masked from being visible to neighboring users of the online community in the global neighborhood environment, and wherein the global neighborhood environment formed through the computer server has a domain name of nextdoor having a generic top-level suffix of com. | 1. A system of a global neighborhood environment comprising: a computer server of the global neighborhood environment: the computer server including one or more computers having non-transitory instructions stored thereon that when executed cause the one or more computers: to verify that a user lives at a residence associated with a geographic location claimed by the user of the global neighborhood environment using a processor and a memory, to create a social network page of the user once verified, to enable the user to constrain a communication to neighboring users within a geospatial vicinity of the residence of the user based on a neighborhood boundary, to distribute a message in a distance away from the residence of the user based on the neighborhood boundary, to provide an additional privilege as a lead user in the online community of the global neighborhood environment based on at least one of a participation level of the user in the online community and an activity level of the user associated with encouraging neighbors to participate in the online community, and to automatically determine a set of access privileges in the online community associated with each user of the online community by constraining access in private web sites of the online community to neighboring users based on each residence associated with each geographic location claimed by each user of the global neighborhood environment, wherein the one or more computers to permit the user to set a privacy setting associated with a profile data of the user such that a certain information is marked as private and is therefore masked from being visible to neighboring users of the online community in the global neighborhood environment, and wherein the global neighborhood environment formed through the computer server has a domain name of nextdoor having a generic top-level suffix of com. 4. The system of the global neighborhood environment of claim 1 : wherein the computer server to filter information to only display messages from a particular neighborhood associated with each verified user, and wherein the computer server to permit private posts only in the particular neighborhood to verified users having verified addresses within the neighborhood. | 0.704966 |
2. The method of claim 1 , wherein the information describing the data source of the location defines a content of the data source corresponding to the one or more locations. | 2. The method of claim 1 , wherein the information describing the data source of the location defines a content of the data source corresponding to the one or more locations. 3. The method of claim 2 , wherein the criteria define that locations are grouped into libraries based on their content. | 0.97119 |
16. A system for monitoring innovation activity, comprising: a first metadata element arranged to accumulate first metadata associated with an intellectual knowledge file; a first rules-based processor arranged to: extract at least one pattern from said intellectual knowledge file; and, assign, using said first metadata and said at least one pattern, said intellectual knowledge file to a concept space among a plurality of existing concept spaces; and, a report generator arranged to generate a report correlating said intellectual knowledge file and said plurality of existing concept spaces, wherein said first metadata element, said first rules-based processor, and said report generator are located in at least one specially programmed general-purpose computer. | 16. A system for monitoring innovation activity, comprising: a first metadata element arranged to accumulate first metadata associated with an intellectual knowledge file; a first rules-based processor arranged to: extract at least one pattern from said intellectual knowledge file; and, assign, using said first metadata and said at least one pattern, said intellectual knowledge file to a concept space among a plurality of existing concept spaces; and, a report generator arranged to generate a report correlating said intellectual knowledge file and said plurality of existing concept spaces, wherein said first metadata element, said first rules-based processor, and said report generator are located in at least one specially programmed general-purpose computer. 17. The system of claim 16 further comprising a second metadata element arranged to accumulate second metadata associated with a first plurality of intellectual knowledge files and wherein said rules-based processor is arranged to: extract a first plurality of patterns from said first plurality of intellectual knowledge files; create a first plurality of concept spaces, using said second metadata and said first plurality of patterns, wherein said plurality of existing concept spaces comprises said first plurality of concept spaces; and, group, using said second metadata and said first plurality of patterns, said first plurality of intellectual knowledge files into first respective concept spaces in said first plurality of concept spaces, wherein said second metadata element is located in said at least one general-purpose computer. | 0.584754 |
1. A method executed on a computing device to detect a document type of a document, the method comprising: analyzing the document to detect features of the document and pages of the document based on an action selecting the document; detecting separative features as a subset of the features; identifying one of the separative features as a reading order complexity associated with the pages; generating a reading order tree for each of the pages to compute a value for the reading order complexity; computing the value for the reading order complexity by adding a number of roots in the reading order tree with a sum of incoming connections for each element of the reading order tree multiplied by outgoing connections for each element; detecting a type of the pages based on the features; and aggregating the type of the pages and values of the features of the document to identify the document type of the document. | 1. A method executed on a computing device to detect a document type of a document, the method comprising: analyzing the document to detect features of the document and pages of the document based on an action selecting the document; detecting separative features as a subset of the features; identifying one of the separative features as a reading order complexity associated with the pages; generating a reading order tree for each of the pages to compute a value for the reading order complexity; computing the value for the reading order complexity by adding a number of roots in the reading order tree with a sum of incoming connections for each element of the reading order tree multiplied by outgoing connections for each element; detecting a type of the pages based on the features; and aggregating the type of the pages and values of the features of the document to identify the document type of the document. 5. The method of claim 1 , further comprising: identifying one of the separative features as a forms coverage; and computing a value for the forms coverage with a sum of a form length for each form multiplied by a square of a number of forms. | 0.684416 |
1. Computer-readable media embodying instructions executable by a computer to perform a method comprising: receiving, from a user interface, an annotation associated with a background image; adding the annotation to a queue of pending annotations; causing transmission of the annotation to a server; removing the annotation from the queue of pending annotations, and adding the annotation to a list of acknowledged annotations, when an acknowledgment of the annotation is received from the server; and generating a display image comprising the background image, annotations in the list of acknowledged annotations, and annotations in the queue of pending annotations. | 1. Computer-readable media embodying instructions executable by a computer to perform a method comprising: receiving, from a user interface, an annotation associated with a background image; adding the annotation to a queue of pending annotations; causing transmission of the annotation to a server; removing the annotation from the queue of pending annotations, and adding the annotation to a list of acknowledged annotations, when an acknowledgment of the annotation is received from the server; and generating a display image comprising the background image, annotations in the list of acknowledged annotations, and annotations in the queue of pending annotations. 7. The computer-readable media of claim 1 , wherein the method further comprises: generating an acknowledged annotation image comprising the background image, and the annotations in the list of acknowledged annotations; and generating the display image based on the acknowledged annotation image and the annotations in the queue of pending annotations. | 0.699319 |
11. A computer system to determine knowledgeable and available contacts in an instant messaging system, the computer system comprising: one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, the program instructions comprising: program instructions to receive a keyword related to an area of expertise; program instructions to search for the keyword in correspondence of users of an instant messaging system, the correspondence including real-time and historical information associated with each user of the instant messaging system; program instructions to identify, based on results of the search, a plurality of users having used the keyword in the correspondence; program instructions to determine an availability of each of the identified plurality of users; and program instructions to rank the identified plurality of users based on predefined criteria, the predefined criteria including at least one of the determined availability of each of the identified plurality of users and an incidence of the keyword in correspondence of each of the identified plurality of users, the incidence including both a number and a location of the keyword in the correspondence, wherein the keyword located near a beginning of the correspondence indicates a greater expertise in the area of expertise than the keyword located near an end of the correspondence. | 11. A computer system to determine knowledgeable and available contacts in an instant messaging system, the computer system comprising: one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, the program instructions comprising: program instructions to receive a keyword related to an area of expertise; program instructions to search for the keyword in correspondence of users of an instant messaging system, the correspondence including real-time and historical information associated with each user of the instant messaging system; program instructions to identify, based on results of the search, a plurality of users having used the keyword in the correspondence; program instructions to determine an availability of each of the identified plurality of users; and program instructions to rank the identified plurality of users based on predefined criteria, the predefined criteria including at least one of the determined availability of each of the identified plurality of users and an incidence of the keyword in correspondence of each of the identified plurality of users, the incidence including both a number and a location of the keyword in the correspondence, wherein the keyword located near a beginning of the correspondence indicates a greater expertise in the area of expertise than the keyword located near an end of the correspondence. 12. The computer system of claim 11 , wherein the program instructions to determine an availability further comprise program instructions to determine an availability of each of the identified plurality of users based on information associated with one or more of each of the user's electronic calendars, current and previous instant messaging status messages, and previous availability history. | 0.5 |
17. A method, comprising: receiving a plurality of parameters based, at least in part, on metadata information obtained from data mining one or more databases, at least one database containing tags associated with objects, wherein the data mining is to apply one or more filters to the tags of the at least one database to obtain at least a portion of the metadata information; creating a rule associated with at least some of the parameters; and incorporating the rule into a security policy to be used by a capture system, wherein the security policy controls network communications captured by the capture system. | 17. A method, comprising: receiving a plurality of parameters based, at least in part, on metadata information obtained from data mining one or more databases, at least one database containing tags associated with objects, wherein the data mining is to apply one or more filters to the tags of the at least one database to obtain at least a portion of the metadata information; creating a rule associated with at least some of the parameters; and incorporating the rule into a security policy to be used by a capture system, wherein the security policy controls network communications captured by the capture system. 20. The method of claim 17 , wherein the rule includes at least one of: one or more communication parameters, one or more content types, one or more concepts, one or more signatures, and one or more words. | 0.635079 |
1. A method for formatting a main electronic document to include one or more other electronic documents for display, the main electronic document readable by a computer software application, the main electronic document including content for display, the method comprising the following steps: inserting a reference tag into the main electronic document to nest therein another electronic document including content for display, the content of the nested electronic document displayed in an overlapping manner with the content of the main electronic document when the main electronic document is displayed; with the reference tag, specifying a display layout for the nested electronic document; and with the reference tag, specifying display techniques for the nested electronioc document. | 1. A method for formatting a main electronic document to include one or more other electronic documents for display, the main electronic document readable by a computer software application, the main electronic document including content for display, the method comprising the following steps: inserting a reference tag into the main electronic document to nest therein another electronic document including content for display, the content of the nested electronic document displayed in an overlapping manner with the content of the main electronic document when the main electronic document is displayed; with the reference tag, specifying a display layout for the nested electronic document; and with the reference tag, specifying display techniques for the nested electronioc document. 5. The method of claim 1 wherein the step of specifying display techniques for the nested electronic document includes specifying the frame border, margin height, margin width, nested document name, nested document source location, re-sizing and scrolling display techniques, where the nested document source location includes a uniform resource locator used to locate a nested electronic document. | 0.66192 |
1. A method performed by a generic computer processor for creating a glottal pulse database from a speech signal, in a speech synthesis system, wherein the system comprises at least a speech database, the method comprising the steps of: a. pre-emphasizing the speech signal to obtain a pre-filtered signal; b. analyzing the pre-filtered signal, using linear prediction, to obtain inverse filtering parameters; c. performing inverse filtering of the speech signal using the inverse filtering parameters; d. determining an integrated linear prediction residual signal using the inversely filtered speech signal; e. identifying glottal segment boundaries in the speech signal; f. segmenting the integrated linear prediction residual signal into glottal pulses using the identified glottal segment boundaries from the speech signal; g. normalizing the glottal pulses; h. forming the glottal pulse database by collecting all normalized glottal pulses obtained for the speech signal; and i. applying the formed glottal pulse database to form an excitation signal, wherein the excitation signal is applied in the speech synthesis system to synthesize speech. | 1. A method performed by a generic computer processor for creating a glottal pulse database from a speech signal, in a speech synthesis system, wherein the system comprises at least a speech database, the method comprising the steps of: a. pre-emphasizing the speech signal to obtain a pre-filtered signal; b. analyzing the pre-filtered signal, using linear prediction, to obtain inverse filtering parameters; c. performing inverse filtering of the speech signal using the inverse filtering parameters; d. determining an integrated linear prediction residual signal using the inversely filtered speech signal; e. identifying glottal segment boundaries in the speech signal; f. segmenting the integrated linear prediction residual signal into glottal pulses using the identified glottal segment boundaries from the speech signal; g. normalizing the glottal pulses; h. forming the glottal pulse database by collecting all normalized glottal pulses obtained for the speech signal; and i. applying the formed glottal pulse database to form an excitation signal, wherein the excitation signal is applied in the speech synthesis system to synthesize speech. 2. The method of claim 1 , wherein the inverse filtering parameters in step (b) comprise linear prediction coefficients. | 0.690423 |
1. A method for enabling generation of text on a handheld electronic device, said handheld electronic device comprising a plurality of input members and a memory, at least some of the input members each having a number of linguistic elements assigned thereto and the memory having a plurality of language objects stored therein, the method comprising: enabling detection of a number of input member actuations corresponding with an ambiguous input; setting a first threshold, said first threshold having a value of at least two; selecting a second threshold; and only when said number of input member actuations exceeds the first threshold and a quantity of predicted language objects corresponding with said ambiguous input is less than the second threshold, generating for output, based on the quantity of predicted language objects, a number of prefix objects corresponding to said ambiguous input and a number of the predicted language objects corresponding to said ambiguous input, each predicted language object comprising a prefix object portion and a completion portion; and providing at a text input location an output comprising a prefix object and a completion portion of a first predicted language object. | 1. A method for enabling generation of text on a handheld electronic device, said handheld electronic device comprising a plurality of input members and a memory, at least some of the input members each having a number of linguistic elements assigned thereto and the memory having a plurality of language objects stored therein, the method comprising: enabling detection of a number of input member actuations corresponding with an ambiguous input; setting a first threshold, said first threshold having a value of at least two; selecting a second threshold; and only when said number of input member actuations exceeds the first threshold and a quantity of predicted language objects corresponding with said ambiguous input is less than the second threshold, generating for output, based on the quantity of predicted language objects, a number of prefix objects corresponding to said ambiguous input and a number of the predicted language objects corresponding to said ambiguous input, each predicted language object comprising a prefix object portion and a completion portion; and providing at a text input location an output comprising a prefix object and a completion portion of a first predicted language object. 8. The method of claim 1 , wherein said making comprises both making a determination that said number of input member actuations exceeds the first threshold and making a determination that a quantity of predicted language objects corresponding with said ambiguous input is less than the second threshold. | 0.60198 |
1. A method for associating glossaries with tags, comprising: maintaining a set of tags, each tag in the set assigned to one or more documents; maintaining a plurality of glossaries, wherein each glossary is associated with one or more of the tags in the set and comprises a collection of terms related to the associated one or more tags, aliases for the terms, and definitions for the terms; assigning a new tag to an untagged document; comparing the new tag with the set of tags; selecting from the plurality of glossaries, one such glossary associated with a tag from the set of tags that matches the new tag; generating a new glossary, and using the selected glossary as a template for the new glossary by inheriting the terms, aliases, and definitions from the selected glossary into the new glossary; adding one or more terms, definitions, and aliases to the new glossary; and assigning the new glossary as a glossary associated with the newly tagged document. | 1. A method for associating glossaries with tags, comprising: maintaining a set of tags, each tag in the set assigned to one or more documents; maintaining a plurality of glossaries, wherein each glossary is associated with one or more of the tags in the set and comprises a collection of terms related to the associated one or more tags, aliases for the terms, and definitions for the terms; assigning a new tag to an untagged document; comparing the new tag with the set of tags; selecting from the plurality of glossaries, one such glossary associated with a tag from the set of tags that matches the new tag; generating a new glossary, and using the selected glossary as a template for the new glossary by inheriting the terms, aliases, and definitions from the selected glossary into the new glossary; adding one or more terms, definitions, and aliases to the new glossary; and assigning the new glossary as a glossary associated with the newly tagged document. 9. A method according to claim 1 , further comprising: identifying one of the tagged documents most similar to the newly tagged document; and using the glossary associated with the most similar document as a template for a further glossary associated with the newly tagged document. | 0.62223 |
1. A computer-implemented user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on learning periodicities of user selections of content items, the method comprising: providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item; receiving incremental input entered by the user for incrementally identifying desired content items; in response to the incremental input entered by the user, presenting a subset of content items to the user; receiving actions from the user resulting in the selection of content items from the subset; analyzing the descriptive terms associated with the selected content items to identify sets of actions resulting in the selection of similar content items, wherein similarity is determined by comparing the descriptive terms associated with any one of the selected content items with any of the previously selected content items; analyzing the date, day, and time of at least two of the individual selection actions of the sets of actions to learn periodicities of user actions resulting in the selections of similar content items, wherein the periodicity corresponding to a particular set of actions for selecting similar content items indicates the amount of time between the user actions of the set; associating the learned periodicities of the sets of actions resulting in the selection of similar content items with the corresponding descriptive terms associated with the similar content items that were selected; and in response to receiving subsequent incremental input entered by the user, selecting and ordering a collection of content items wherein content items associated with descriptive terms similar to the subsequent incremental input and associated with descriptive terms further associated with periodicities similar to the date, day, and time of the subsequent incremental input are presented on a display device as more relevant content. | 1. A computer-implemented user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on learning periodicities of user selections of content items, the method comprising: providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item; receiving incremental input entered by the user for incrementally identifying desired content items; in response to the incremental input entered by the user, presenting a subset of content items to the user; receiving actions from the user resulting in the selection of content items from the subset; analyzing the descriptive terms associated with the selected content items to identify sets of actions resulting in the selection of similar content items, wherein similarity is determined by comparing the descriptive terms associated with any one of the selected content items with any of the previously selected content items; analyzing the date, day, and time of at least two of the individual selection actions of the sets of actions to learn periodicities of user actions resulting in the selections of similar content items, wherein the periodicity corresponding to a particular set of actions for selecting similar content items indicates the amount of time between the user actions of the set; associating the learned periodicities of the sets of actions resulting in the selection of similar content items with the corresponding descriptive terms associated with the similar content items that were selected; and in response to receiving subsequent incremental input entered by the user, selecting and ordering a collection of content items wherein content items associated with descriptive terms similar to the subsequent incremental input and associated with descriptive terms further associated with periodicities similar to the date, day, and time of the subsequent incremental input are presented on a display device as more relevant content. 5. The method of claim 1 , wherein the selecting and ordering the collection of content items is further based on popularity values associated with the content items, each popularity value indicating a relative measure of a likelihood that the corresponding content item is desired by the user. | 0.584428 |
1. A method comprising: accessing at least one database on one or more processor readable media, by one or more processors, the at least one database comprising: electronic user information including at least one from a group consisting of a trait, a brand-specific preference, and a person-specific identifier of each of a plurality of persons; and electronic advertiser information comprising information associated with at least one branded product and/or service associated with at least one respective advertiser of a plurality of advertisers; receiving, via one or more communication devices that are operatively connected to the one or more processors, first electronic information from a first user computing device associated with a first user, wherein the first electronic information includes at least some user information associated with the first user and information representing at least a trait, a preference, and/or a person-specific identifier; defining, by the one or more processors and in accordance with the first electronic information, a first group of at least two respective persons of the plurality of persons, wherein the first group is custom to the first user; determining, by the one or more processors and in accordance with at least a relationship of at least some user information associated with the first user and the electronic advertiser information, a relevance of the first user to at least two advertisers of the plurality of advertisers; processing, by the one or more processors, to identify one respective person of the first group in accordance with information representing a previously received selection of the one respective person by the first user; selecting, by the one or more processors, one of the at least two advertisers based at least on a relevance of the one respective person of the first group to at least some of the user information representing at least one person's preference of a brand associated with the one of the at least two advertisers; generating, by the one or more processors, advertising information that includes the brand associated with the one of the at least two advertisers, and a person-specific identifier associated with the one respective person of the first group; and transmitting, via the one or more communication devices, by the one or more processors, at least some of the advertising information to the first user computing device. | 1. A method comprising: accessing at least one database on one or more processor readable media, by one or more processors, the at least one database comprising: electronic user information including at least one from a group consisting of a trait, a brand-specific preference, and a person-specific identifier of each of a plurality of persons; and electronic advertiser information comprising information associated with at least one branded product and/or service associated with at least one respective advertiser of a plurality of advertisers; receiving, via one or more communication devices that are operatively connected to the one or more processors, first electronic information from a first user computing device associated with a first user, wherein the first electronic information includes at least some user information associated with the first user and information representing at least a trait, a preference, and/or a person-specific identifier; defining, by the one or more processors and in accordance with the first electronic information, a first group of at least two respective persons of the plurality of persons, wherein the first group is custom to the first user; determining, by the one or more processors and in accordance with at least a relationship of at least some user information associated with the first user and the electronic advertiser information, a relevance of the first user to at least two advertisers of the plurality of advertisers; processing, by the one or more processors, to identify one respective person of the first group in accordance with information representing a previously received selection of the one respective person by the first user; selecting, by the one or more processors, one of the at least two advertisers based at least on a relevance of the one respective person of the first group to at least some of the user information representing at least one person's preference of a brand associated with the one of the at least two advertisers; generating, by the one or more processors, advertising information that includes the brand associated with the one of the at least two advertisers, and a person-specific identifier associated with the one respective person of the first group; and transmitting, via the one or more communication devices, by the one or more processors, at least some of the advertising information to the first user computing device. 4. The method of claim 1 , wherein the processing to identify one respective person of the first group is further in accordance with selecting, by the one or more processors, in accordance with at least the relevance of the first user to at least two advertisers of the plurality of advertisers, at least some of the electronic user information associated with one or more person of the plurality of persons. | 0.599149 |
14. The method of claim 13 wherein the scanner comprises a hand-held scanning optical scanning device. | 14. The method of claim 13 wherein the scanner comprises a hand-held scanning optical scanning device. 18. The method of claim 14 , wherein sending the encrypted information comprises replacing a return address for the encrypted information so to not identify the scanner. | 0.844156 |
17. The computer-readable medium of claim 16 , further including back annotating results of the verification on the NLA. | 17. The computer-readable medium of claim 16 , further including back annotating results of the verification on the NLA. 18. The computer-readable medium of claim 17 , wherein each of the identifying and the translating the NLA processes a plurality of assertions. | 0.935535 |
3. The modem of claim 1 further comprising a PBX connected to the output port of the modem. | 3. The modem of claim 1 further comprising a PBX connected to the output port of the modem. 5. The modem of claim 3 wherein the digital port of the modem is connected to said PBX. | 0.96616 |
24. A computer program product used with a computer system in creating and updating a consolidated database of job postings from a plurality of identified job post hosting sites, the computer program product comprising a non-transitory computer-readable medium comprising instructions stored thereon, that when executed by a processor, perform the steps of: running a plurality of job bots, each job bot comprising instructions for: extracting job posting information from a respective job post hosting site of the plurality of identified job post hosting sites; and updating a searchable job post database with the job postings information; wherein each job bot is independently and manually programmed by a human programmer and customized for a job listing format of one of the plurality of job post hosting sites manually identified for data extraction; periodically running the plurality of job bots to perform the steps of: updating the searchable job posting database with changes to previously extracted job post information; adding newly extracted job post information; and retaining previously extracted job post information that is no longer present on the job post hosting site for a predetermined period of time after the previously extracted job post information is determined to be no longer present on the job post hosting site; providing a plurality of searchable job post fields from the extracted job post information, the searchable job post fields allowing a jobseeker to search the job postings based on at least one of the plurality of searchable job post fields; providing a summary form to the jobseeker for one of the job postings from the extracted job post information, said summary form having a job title, a geographic location, and a list of general responsibilities; and providing a plurality of links within said summary form. | 24. A computer program product used with a computer system in creating and updating a consolidated database of job postings from a plurality of identified job post hosting sites, the computer program product comprising a non-transitory computer-readable medium comprising instructions stored thereon, that when executed by a processor, perform the steps of: running a plurality of job bots, each job bot comprising instructions for: extracting job posting information from a respective job post hosting site of the plurality of identified job post hosting sites; and updating a searchable job post database with the job postings information; wherein each job bot is independently and manually programmed by a human programmer and customized for a job listing format of one of the plurality of job post hosting sites manually identified for data extraction; periodically running the plurality of job bots to perform the steps of: updating the searchable job posting database with changes to previously extracted job post information; adding newly extracted job post information; and retaining previously extracted job post information that is no longer present on the job post hosting site for a predetermined period of time after the previously extracted job post information is determined to be no longer present on the job post hosting site; providing a plurality of searchable job post fields from the extracted job post information, the searchable job post fields allowing a jobseeker to search the job postings based on at least one of the plurality of searchable job post fields; providing a summary form to the jobseeker for one of the job postings from the extracted job post information, said summary form having a job title, a geographic location, and a list of general responsibilities; and providing a plurality of links within said summary form. 25. The non-transitory computer-readable medium of claim 24 , wherein the plurality of links comprises a first link that enables a jobseeker to apply to at least one of the job postings. | 0.624305 |
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