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9,519,640 | 10 | 13 | 10. A method for presenting a translation of information at a location to a wearer of a see-through head mounted display apparatus, comprising: receiving from the wearer a selection of input data for translation at the location of the wearer; determining three dimensional locations of objects within a field of view of the wearer at the location; receiving a selection of input data based on an object within the field of view for translation in the field of view of the wearer; retrieving wearer profile information bearing on an accuracy of a translation; analyzing the input data to select a type of translation to perform, the types of translations comprising each of a linguistic translation from a first language to a second language, an informational translation which provides additional information regarding a particular subject or scene in the input data and a context translation which provides information on an emotional state of a person in the field of view should be provided based on the input data, wherein the linguistic, informational and context translations are different types of translations; determining wearer proficiency in a language of subject matter in the analyzed input data from the wearer profile information; determining a complexity of the translation based on the determined wearer knowledge; determining one of a plurality of output formats for the translation; performing one or more of the linguistic translation, the informational translation or the context translation on the input data based on determining a translation type and the determined translation complexity, the translation based on wearer feedback on translation accuracy of previous translations; and rendering the translation in at least one of the plurality of output formats, the plurality of output formats comprising an audio output format and a visual output format in the see-through head mounted display. | 10. A method for presenting a translation of information at a location to a wearer of a see-through head mounted display apparatus, comprising: receiving from the wearer a selection of input data for translation at the location of the wearer; determining three dimensional locations of objects within a field of view of the wearer at the location; receiving a selection of input data based on an object within the field of view for translation in the field of view of the wearer; retrieving wearer profile information bearing on an accuracy of a translation; analyzing the input data to select a type of translation to perform, the types of translations comprising each of a linguistic translation from a first language to a second language, an informational translation which provides additional information regarding a particular subject or scene in the input data and a context translation which provides information on an emotional state of a person in the field of view should be provided based on the input data, wherein the linguistic, informational and context translations are different types of translations; determining wearer proficiency in a language of subject matter in the analyzed input data from the wearer profile information; determining a complexity of the translation based on the determined wearer knowledge; determining one of a plurality of output formats for the translation; performing one or more of the linguistic translation, the informational translation or the context translation on the input data based on determining a translation type and the determined translation complexity, the translation based on wearer feedback on translation accuracy of previous translations; and rendering the translation in at least one of the plurality of output formats, the plurality of output formats comprising an audio output format and a visual output format in the see-through head mounted display. 13. The method of claim 10 further including a step of rendering the translation output to the wearer and receiving from the wearer a corrected translation of the input data. | 0.780856 |
8,731,617 | 1 | 3 | 1. A method for initiating voice calls from a communication device, comprising: causing, without user intervention, each number string in text of a data item which matches first predetermined criteria to be displayed in a first format and each number string in the text of the data item which does not match the first predetermined criteria to be displayed in a second format; causing a voice call to be initiated to a number string displayed in the first format when the number string is selected and first predetermined user input is detected; causing a list of user selectable functions to be displayed in response to detecting second predetermined user input when a position marker is located within a number string, the list of user selectable functions including a voice call function for initiating a voice call to the number string when the number string matches second predetermined criteria, wherein the second predetermined criteria are different from the first predetermined criteria; and causing a voice call to be initiated to a number string when the voice call function for the number string is selected from the list of user selectable functions. | 1. A method for initiating voice calls from a communication device, comprising: causing, without user intervention, each number string in text of a data item which matches first predetermined criteria to be displayed in a first format and each number string in the text of the data item which does not match the first predetermined criteria to be displayed in a second format; causing a voice call to be initiated to a number string displayed in the first format when the number string is selected and first predetermined user input is detected; causing a list of user selectable functions to be displayed in response to detecting second predetermined user input when a position marker is located within a number string, the list of user selectable functions including a voice call function for initiating a voice call to the number string when the number string matches second predetermined criteria, wherein the second predetermined criteria are different from the first predetermined criteria; and causing a voice call to be initiated to a number string when the voice call function for the number string is selected from the list of user selectable functions. 3. The method of claim 1 , wherein the second predetermined criteria and first predetermined criteria require that the number string be within a certain minimum and maximum length range, and the range of the second predetermined criteria is greater than the range of the first predetermined criteria. | 0.651972 |
8,719,268 | 10 | 14 | 10. A computer program product for enabling parallel processing of an XML document without pre-parsing, wherein the XML document has associated metadata, comprising: a tangible computer readable storage device having computer readable program code embodied therewith, the computer readable program code comprising computer readable program code configured to: generate an XML document from input data; generate metadata associated with the XML document at a predetermined size interval of the XML document during the generation of the XML document, wherein the metadata comprises information that identifies at least N partition point evenly distributed throughout the XML document that enables the XML document to be partitioned without parsing into N partitions of the XML document corresponding to the at least N partition points for parallel processing; and store the XML document and the metadata. | 10. A computer program product for enabling parallel processing of an XML document without pre-parsing, wherein the XML document has associated metadata, comprising: a tangible computer readable storage device having computer readable program code embodied therewith, the computer readable program code comprising computer readable program code configured to: generate an XML document from input data; generate metadata associated with the XML document at a predetermined size interval of the XML document during the generation of the XML document, wherein the metadata comprises information that identifies at least N partition point evenly distributed throughout the XML document that enables the XML document to be partitioned without parsing into N partitions of the XML document corresponding to the at least N partition points for parallel processing; and store the XML document and the metadata. 14. The computer program product of claim 10 , wherein the metadata comprises start and end locations of nested node definitions in the XML document. | 0.564327 |
10,114,873 | 8 | 10 | 8. A method comprising: processing a post shared by a user of an online social network in a feed of the online social network, the post comprising textual content and being identifiable through one or more objects stored in a database, the feed being displayable in a user interface on a display device, the processing of the post comprising: identifying a first keyword of the textual content of the post as being preceded by a first tag to define a first tagged keyword, identifying a first data source specified by the first tag, the first data source being external to a database system, identifying a second keyword of the textual content of the post as being preceded by the first tag or a second tag to define a second tagged keyword, and identifying a second data source specified by the first tag or the second tag, the second data source being different from the first data source and being external to the database system; requesting a first search of the first data source using the first keyword; requesting a second search of the second data source using the second keyword; and processing a plurality of content records identified by the searches, the processing of the content records comprising: selecting one or more of the content records as satisfying criteria specifying one or more of: a visibility of a content record, a relevance of a content record, a designated data source for a content record, a type of a content record, an action to perform in association with a content record, or a time range for an action to be performed in association with a content record, and responsive to selecting the one or more content records as satisfying the criteria, automatically generating and sharing in the feed a comment on the post, the comment comprising at least a portion of record content of the selected one or more content records; selecting a further content record in accordance with further criteria, the further criteria being configurable using a settings interface; automatically generating and sharing in the feed one or more further comments on the post, the one or more further comments comprising at least a portion of record content of the selected further content record; and automatically generating, using one or more heuristics, a feed tracked update associated with the selected further content record. | 8. A method comprising: processing a post shared by a user of an online social network in a feed of the online social network, the post comprising textual content and being identifiable through one or more objects stored in a database, the feed being displayable in a user interface on a display device, the processing of the post comprising: identifying a first keyword of the textual content of the post as being preceded by a first tag to define a first tagged keyword, identifying a first data source specified by the first tag, the first data source being external to a database system, identifying a second keyword of the textual content of the post as being preceded by the first tag or a second tag to define a second tagged keyword, and identifying a second data source specified by the first tag or the second tag, the second data source being different from the first data source and being external to the database system; requesting a first search of the first data source using the first keyword; requesting a second search of the second data source using the second keyword; and processing a plurality of content records identified by the searches, the processing of the content records comprising: selecting one or more of the content records as satisfying criteria specifying one or more of: a visibility of a content record, a relevance of a content record, a designated data source for a content record, a type of a content record, an action to perform in association with a content record, or a time range for an action to be performed in association with a content record, and responsive to selecting the one or more content records as satisfying the criteria, automatically generating and sharing in the feed a comment on the post, the comment comprising at least a portion of record content of the selected one or more content records; selecting a further content record in accordance with further criteria, the further criteria being configurable using a settings interface; automatically generating and sharing in the feed one or more further comments on the post, the one or more further comments comprising at least a portion of record content of the selected further content record; and automatically generating, using one or more heuristics, a feed tracked update associated with the selected further content record. 10. The method of claim 8 , wherein a workflow rule specifies one or more of: types of content records, data sources to use, data sources not to use, actions to perform, or time ranges. | 0.5 |
9,378,276 | 5 | 6 | 5. The method of claim 1 , wherein identifying occurrences of the normalized data entries in the electronic resource comprises: identifying one or more tags in the electronic resource; parsing content text associated with each of the identified tags to determine whether the content text matches a normalized data entry; and marking an identified tag of the electronic resource with a navigation filter heading annotation in response to a determination that the content text associated with the identified tag matches one or more of the normalized data entries. | 5. The method of claim 1 , wherein identifying occurrences of the normalized data entries in the electronic resource comprises: identifying one or more tags in the electronic resource; parsing content text associated with each of the identified tags to determine whether the content text matches a normalized data entry; and marking an identified tag of the electronic resource with a navigation filter heading annotation in response to a determination that the content text associated with the identified tag matches one or more of the normalized data entries. 6. The method of claim 5 , further comprising, for each of the identified tags: determining whether the tag is a leaf node of the electronic resource; and removing the tag from consideration as a potential navigation filter heading in response to a determination that the tag is not a leaf. | 0.510135 |
9,953,274 | 10 | 14 | 10. A method for dynamically selecting attributes indicative of human users, evaluating users and selectively presenting offers to estimated human users, method comprising: defining a user characteristic, the user characteristic being an estimation that a user is a human user, wherein: when the user corresponds to the user characteristic, the user is estimated to be a human user, and when the user does not correspond to the user characteristic, the user is estimated to be a robot user; identifying a model that enhances the user characteristic definer by detecting when users alter activity to cause the ticket management system to falsely characterize the users, the model including at least one machine-learning algorithm, identifying, using the at least one machine-learning algorithm, an initial set of attributes based on the user characteristic, each attribute of the initial set of attributes being used to determine whether users correspond to the user characteristic, and at least one attribute of the initial set of attributes characterizing an engagement based on at least one of: interactions with the ticket management system, interactions with a social media system, membership to one or more groups, past event attendances, and information in user profiles; determining, for each user in a first set of users, a first value for each attribute in the initial set of attributes, the first value being indicative of an extent of the engagement; identifying a first group and a second group from amongst the first set of users based on the determined first values; identifying a collection of users previously determined to correspond to the user characteristic; automatically detecting whether a rate of increase of users in the collection of users meets or exceeds a threshold, the meeting or exceeding the threshold indicating a likelihood that one or more users have altered activity to cause the ticket management system to falsely characterize the one or more users as a human user; in response to detecting that the rate of increase meets or exceeds the threshold, automatically determining to modify the initial set of attributes, each attribute in the modified set of attributes being used to determine whether users correspond to the user characteristic; determining, for each user in a second set of users, a second value for each attribute in the modified set of attributes, the second value being indicative of an extent to which a user corresponds to the user characteristic; continuously detecting, using the at least one learning algorithm, whether or not at least one user has altered activity to cause the ticket management system to falsely characterize the at least one user; identifying a third group and a fourth group from amongst the second set of users based on the determined second values, wherein each user in the third group corresponds to the defined user characteristic, wherein each user in the fourth group does not correspond to the user characteristic, and wherein users in the second set of users are different from users in the first set of users; determining that ticket offerings are to be biased to favor users in the third group over users in the fourth group; generating a digital presentation for each user in the second set of users based on the determination that ticket offerings are to be biased to favor users in the third group over users in the fourth group, the digital presentation being different for users in the third group than for users in the fourth group; and transmitting the digital presentation to each user in the second set of users, the digital presentation causing an interface to be displayed when received at a user device associated with each user in the second set of users, the interface being configured to receive ticket requests when the interface is displayed at the user device associated with each user in the third group, and the interface being configured to not receive ticket requests when the interface is displayed at the user device associated with each user in the fourth group. | 10. A method for dynamically selecting attributes indicative of human users, evaluating users and selectively presenting offers to estimated human users, method comprising: defining a user characteristic, the user characteristic being an estimation that a user is a human user, wherein: when the user corresponds to the user characteristic, the user is estimated to be a human user, and when the user does not correspond to the user characteristic, the user is estimated to be a robot user; identifying a model that enhances the user characteristic definer by detecting when users alter activity to cause the ticket management system to falsely characterize the users, the model including at least one machine-learning algorithm, identifying, using the at least one machine-learning algorithm, an initial set of attributes based on the user characteristic, each attribute of the initial set of attributes being used to determine whether users correspond to the user characteristic, and at least one attribute of the initial set of attributes characterizing an engagement based on at least one of: interactions with the ticket management system, interactions with a social media system, membership to one or more groups, past event attendances, and information in user profiles; determining, for each user in a first set of users, a first value for each attribute in the initial set of attributes, the first value being indicative of an extent of the engagement; identifying a first group and a second group from amongst the first set of users based on the determined first values; identifying a collection of users previously determined to correspond to the user characteristic; automatically detecting whether a rate of increase of users in the collection of users meets or exceeds a threshold, the meeting or exceeding the threshold indicating a likelihood that one or more users have altered activity to cause the ticket management system to falsely characterize the one or more users as a human user; in response to detecting that the rate of increase meets or exceeds the threshold, automatically determining to modify the initial set of attributes, each attribute in the modified set of attributes being used to determine whether users correspond to the user characteristic; determining, for each user in a second set of users, a second value for each attribute in the modified set of attributes, the second value being indicative of an extent to which a user corresponds to the user characteristic; continuously detecting, using the at least one learning algorithm, whether or not at least one user has altered activity to cause the ticket management system to falsely characterize the at least one user; identifying a third group and a fourth group from amongst the second set of users based on the determined second values, wherein each user in the third group corresponds to the defined user characteristic, wherein each user in the fourth group does not correspond to the user characteristic, and wherein users in the second set of users are different from users in the first set of users; determining that ticket offerings are to be biased to favor users in the third group over users in the fourth group; generating a digital presentation for each user in the second set of users based on the determination that ticket offerings are to be biased to favor users in the third group over users in the fourth group, the digital presentation being different for users in the third group than for users in the fourth group; and transmitting the digital presentation to each user in the second set of users, the digital presentation causing an interface to be displayed when received at a user device associated with each user in the second set of users, the interface being configured to receive ticket requests when the interface is displayed at the user device associated with each user in the third group, and the interface being configured to not receive ticket requests when the interface is displayed at the user device associated with each user in the fourth group. 14. The method for dynamically selecting attributes indicative of human users, evaluating users and selectively presenting offers to estimated human users as recited in claim 10 , the method further comprising: receiving data pertaining to a purchase by a purchaser of a ticket; and estimating whether the purchaser possessed the user characteristic, wherein the initial set of attributes is modified based on the estimation. | 0.592912 |
9,940,581 | 1 | 3 | 1. A method of distinguishing a business rule from a non-business rule in a computer program, the method comprising the steps of: a computer identifying a first rule in the computer program based on a conditional statement within the first rule; the computer determining whether the first rule performs an underlying operation of the program, the underlying operating being independent of a business function of the program, by determining whether the first rule includes a first key word which indicates the underlying operation, which is a housekeeping process, exception handling, error checking, data validation, parameter cleanup, a reservation of computer memory, or a buffer setup; the computer determining whether a sequence of program steps in the first rule matches a predetermined sequence of program steps indicative of the underlying operation of the program independent of the business function of the program; if the first rule includes the first key word or the sequence of program steps in the first rule matches the predetermined sequence of steps indicative of the underlying operation of the program independent of the business function of the program, the computer determining the first rule is a non-business rule, or if the first rule does not include the first key word and no sequence of program steps in the first rule matches the predetermined sequence of program steps indicative of the underlying operation of the program independent of the business function of the program, the computer: searching the first rule and metadata of the first rule for a second key word which indicates part of a business transaction with a customer of a business using the computer program; determining whether a sequence of program steps in the first rule matches a predetermined sequence of program steps indicative of a business rule; and if the first rule includes the second key word, the metadata of the first rule includes the second key word, or the sequence of program steps in the first rule matches the predetermined sequence of program steps indicative of the business rule, determining the first rule is the business rule, or if the first rule and the metadata of the first rule do not include the second key word and no sequence of program steps in the first rule matches the predetermined sequence of program steps indicative of the business rule, determining the first rule is not classifiable as the business rule or the non-business rule; the computer receiving a first set of one or more semantic tags specifying a first candidate business rule in the computer program, the first candidate business rule being initially not classifiable as a first actual business rule or a first actual non-business rule; based on the first set of one or more semantic tags, the computer determining the first candidate business rule is specified by a pattern expressed in a context-free grammar for a programming language of the computer program, the pattern specifying a code structure included in the first candidate business rule, the pattern being included in a class of an ontology, and the class identifying a concept of the programming language; the computer determining that a confidence level of the pattern is less than a first threshold, the confidence level indicating how likely the first candidate business rule is the first actual business rule, and the ontology associating the pattern with the confidence level; based on the confidence level being less than the first threshold, the computer determining a lack of confidence in the first candidate business rule being the first actual business rule; the computer receiving other sets of one or more semantic tags specifying other candidate business rules, each of the other sets of one or more semantic tags being identical to the first set of one or more semantic tags, and each of the other candidate business rules being not classifiable as an actual business rule or an actual non-business rule; based on the other sets of one or more semantic tags being identical to the first set of one or more semantic tags, the computer determining the other candidate business rules are specified by the pattern that also specifies the first candidate business rule; based on the other candidate business rules being specified by the pattern that also specifies the first candidate business rule, the computer determining that the other candidate business rules include the code structure specified by the pattern; the computer determining a count of candidate business rules among the first candidate business rule and the other candidate business rules that include the code structure specified by the pattern; the computer determining that the count of the candidate business rules exceeds a second threshold; based on the count of the candidate business rules exceeding the second threshold, the computer increasing the confidence level of the pattern which indicates an increase in a likelihood that the candidate business rules are actual business rules; the computer updating the ontology to associate the pattern with the increased confidence level; the computer determining the increased confidence level of the pattern is greater than the first threshold; subsequent to the step of determining the increased confidence level is greater than the first threshold, the computer receiving a second set of one or more semantic tags specifying a second candidate business rule in the computer program or in another computer program; the computer determining that the second candidate business rule includes the code structure specified by the pattern and determining that the second set of one or more semantic tags matches the first set of one or more semantic tags; and based on the second candidate business rule including the code structure specified by the pattern, the second set of one or more semantic tags matching the first set of one or more semantic tags, and the updated ontology associating the pattern with the increased confidence level, the computer automatically determining that the second candidate business rule is a second actual business rule, without a manual classification of the second candidate business rule as the second actual business rule by a human expert; and the computer displaying the second candidate business rule as the second actual business rule. | 1. A method of distinguishing a business rule from a non-business rule in a computer program, the method comprising the steps of: a computer identifying a first rule in the computer program based on a conditional statement within the first rule; the computer determining whether the first rule performs an underlying operation of the program, the underlying operating being independent of a business function of the program, by determining whether the first rule includes a first key word which indicates the underlying operation, which is a housekeeping process, exception handling, error checking, data validation, parameter cleanup, a reservation of computer memory, or a buffer setup; the computer determining whether a sequence of program steps in the first rule matches a predetermined sequence of program steps indicative of the underlying operation of the program independent of the business function of the program; if the first rule includes the first key word or the sequence of program steps in the first rule matches the predetermined sequence of steps indicative of the underlying operation of the program independent of the business function of the program, the computer determining the first rule is a non-business rule, or if the first rule does not include the first key word and no sequence of program steps in the first rule matches the predetermined sequence of program steps indicative of the underlying operation of the program independent of the business function of the program, the computer: searching the first rule and metadata of the first rule for a second key word which indicates part of a business transaction with a customer of a business using the computer program; determining whether a sequence of program steps in the first rule matches a predetermined sequence of program steps indicative of a business rule; and if the first rule includes the second key word, the metadata of the first rule includes the second key word, or the sequence of program steps in the first rule matches the predetermined sequence of program steps indicative of the business rule, determining the first rule is the business rule, or if the first rule and the metadata of the first rule do not include the second key word and no sequence of program steps in the first rule matches the predetermined sequence of program steps indicative of the business rule, determining the first rule is not classifiable as the business rule or the non-business rule; the computer receiving a first set of one or more semantic tags specifying a first candidate business rule in the computer program, the first candidate business rule being initially not classifiable as a first actual business rule or a first actual non-business rule; based on the first set of one or more semantic tags, the computer determining the first candidate business rule is specified by a pattern expressed in a context-free grammar for a programming language of the computer program, the pattern specifying a code structure included in the first candidate business rule, the pattern being included in a class of an ontology, and the class identifying a concept of the programming language; the computer determining that a confidence level of the pattern is less than a first threshold, the confidence level indicating how likely the first candidate business rule is the first actual business rule, and the ontology associating the pattern with the confidence level; based on the confidence level being less than the first threshold, the computer determining a lack of confidence in the first candidate business rule being the first actual business rule; the computer receiving other sets of one or more semantic tags specifying other candidate business rules, each of the other sets of one or more semantic tags being identical to the first set of one or more semantic tags, and each of the other candidate business rules being not classifiable as an actual business rule or an actual non-business rule; based on the other sets of one or more semantic tags being identical to the first set of one or more semantic tags, the computer determining the other candidate business rules are specified by the pattern that also specifies the first candidate business rule; based on the other candidate business rules being specified by the pattern that also specifies the first candidate business rule, the computer determining that the other candidate business rules include the code structure specified by the pattern; the computer determining a count of candidate business rules among the first candidate business rule and the other candidate business rules that include the code structure specified by the pattern; the computer determining that the count of the candidate business rules exceeds a second threshold; based on the count of the candidate business rules exceeding the second threshold, the computer increasing the confidence level of the pattern which indicates an increase in a likelihood that the candidate business rules are actual business rules; the computer updating the ontology to associate the pattern with the increased confidence level; the computer determining the increased confidence level of the pattern is greater than the first threshold; subsequent to the step of determining the increased confidence level is greater than the first threshold, the computer receiving a second set of one or more semantic tags specifying a second candidate business rule in the computer program or in another computer program; the computer determining that the second candidate business rule includes the code structure specified by the pattern and determining that the second set of one or more semantic tags matches the first set of one or more semantic tags; and based on the second candidate business rule including the code structure specified by the pattern, the second set of one or more semantic tags matching the first set of one or more semantic tags, and the updated ontology associating the pattern with the increased confidence level, the computer automatically determining that the second candidate business rule is a second actual business rule, without a manual classification of the second candidate business rule as the second actual business rule by a human expert; and the computer displaying the second candidate business rule as the second actual business rule. 3. The method of claim 1 , further comprising the steps of: for each time a sequence of program steps included in a second rule occurs in multiple computer programs, the computer determining the sequence of program steps included in the second rule includes a conditional statement but does not match a predetermined sequence of program steps indicative of the business rule, does not match a predetermined sequence of program steps indicative of an underlying operation of a program included in the multiple programs independent of a business function of the program included in the multiple programs, does not include a key word indicative of the business rule, and does not include a key word indicative of the underlying operation of the program included in the multiple programs independent of the business function of the program included in the multiple programs; the computer determining a number of times the sequence of program steps in the second rule occurs in the multiple computer programs and determining the number exceeds a predetermined threshold; based on the number exceeding the threshold, the computer changing a classification of the second rule from being unclassifiable as the business rule or as a rule that is not any business rule to being classified as the rule that is not any business rule; subsequent to the step of changing the classification, the computer identifying the second rule in another computer program; and based on the changed classification, the computer automatically determining the identified second rule is the rule that is not any business rule. | 0.546591 |
8,296,124 | 16 | 17 | 16. The non-transitory computer-readable storage medium of claim 15 , the method further comprising identifying three or more contiguous invalid terms as a block of incorrectly translated text. | 16. The non-transitory computer-readable storage medium of claim 15 , the method further comprising identifying three or more contiguous invalid terms as a block of incorrectly translated text. 17. The non-transitory computer-readable storage medium of claim 16 , the method further comprising outputting the block of incorrectly translated text for confirmation by a user. | 0.5 |
8,417,948 | 22 | 24 | 22. An article of manufacture comprising a computer readable non-transitory storage medium storing a carrier script that is presented in the clear and a hidden script that is steganographically coded in the carrier script, the hidden script being different from the carrier script, the carrier script, when interpreted by a computer processor, causing the computer processor to generate a first sequence of instructions that are executed by the computer processor to carry out the directives of the carrier script and to extract and interpret the hidden script to generate a second sequence of instructions that are executed by the computer processor to carry out the directives of the hidden script. | 22. An article of manufacture comprising a computer readable non-transitory storage medium storing a carrier script that is presented in the clear and a hidden script that is steganographically coded in the carrier script, the hidden script being different from the carrier script, the carrier script, when interpreted by a computer processor, causing the computer processor to generate a first sequence of instructions that are executed by the computer processor to carry out the directives of the carrier script and to extract and interpret the hidden script to generate a second sequence of instructions that are executed by the computer processor to carry out the directives of the hidden script. 24. The article of manufacture of claim 22 wherein the carrier script, when executed by the computer processor, further causes the computer processor to extract a key that is steganographically coded in a third script, and to use the key to extract the hidden script. | 0.5 |
10,162,512 | 1 | 3 | 1. A method of controlling a function of a wearable electronic device, comprising: detecting a predetermined gesture by a motion sensor of the wearable electronic device, for activating a voice recognition function of the wearable electronic device, wherein the wearable electronic device is worn on a wrist of a user; driving a timer for calculating a time period from an instance when the predetermined gesture is detected; recognizing eyeballs of the user through one or more cameras of the wearable electronic device; activating a touch screen and the voice recognition function when the time period calculated by the driven timer exceeds a predetermined time period and the eyeballs of the user are recognized; displaying, on the touch screen, a screen of the activated voice recognition function for receiving a voice input to control the voice recognition function of the wearable device; receiving the voice input through the activated voice recognition function; determining whether one or more functions executable by the received voice input include a user's personal information of the wearable electronic device; if the one or more functions executable based on the voice input do not include the user's personal information, analyzing the voice input by using the activated voice recognition function, and executing a function that does not include the user's personal information, based on the voice input; and if the one or more functions executable based on the voice input include the user's personal information of the wearable electronic device, outputting, through the activated touch screen, a message indicating that the one or more functions including the user's personal information are not executable, wherein the output message includes a function list of one or more functions that are executable by at least one voice input different from the received voice input and do not include the user's personal information. | 1. A method of controlling a function of a wearable electronic device, comprising: detecting a predetermined gesture by a motion sensor of the wearable electronic device, for activating a voice recognition function of the wearable electronic device, wherein the wearable electronic device is worn on a wrist of a user; driving a timer for calculating a time period from an instance when the predetermined gesture is detected; recognizing eyeballs of the user through one or more cameras of the wearable electronic device; activating a touch screen and the voice recognition function when the time period calculated by the driven timer exceeds a predetermined time period and the eyeballs of the user are recognized; displaying, on the touch screen, a screen of the activated voice recognition function for receiving a voice input to control the voice recognition function of the wearable device; receiving the voice input through the activated voice recognition function; determining whether one or more functions executable by the received voice input include a user's personal information of the wearable electronic device; if the one or more functions executable based on the voice input do not include the user's personal information, analyzing the voice input by using the activated voice recognition function, and executing a function that does not include the user's personal information, based on the voice input; and if the one or more functions executable based on the voice input include the user's personal information of the wearable electronic device, outputting, through the activated touch screen, a message indicating that the one or more functions including the user's personal information are not executable, wherein the output message includes a function list of one or more functions that are executable by at least one voice input different from the received voice input and do not include the user's personal information. 3. The method of claim 1 , wherein the executed function which does not include the user's personal information includes one of Internet searches, call communication, map searches, broadcasts viewing, or news and weather information viewing, and is not interconnected with another function. | 0.5 |
9,384,196 | 1 | 4 | 1. A method for generating a large-scale database of heterogeneous speech, comprising: transcribing a plurality of multimedia signals retrieved from a large text database and a speech database; randomly selecting a plurality of speech segments from the plurality of multimedia signals, wherein each speech segment of the plurality of speech segments is of a random length; generating a plurality of signatures based on the plurality of speech segments; and populating the large-scale database with the plurality of signatures respective of the plurality of multimedia signals. | 1. A method for generating a large-scale database of heterogeneous speech, comprising: transcribing a plurality of multimedia signals retrieved from a large text database and a speech database; randomly selecting a plurality of speech segments from the plurality of multimedia signals, wherein each speech segment of the plurality of speech segments is of a random length; generating a plurality of signatures based on the plurality of speech segments; and populating the large-scale database with the plurality of signatures respective of the plurality of multimedia signals. 4. The method of claim 1 , further comprising: determining, for each multimedia signal of the plurality of multimedia signals, if the multimedia signal matches at least one class of multimedia signals based on the plurality of signatures and a set of representative signatures of the class of multimedia signals; and upon determining that at least one multimedia signal of the plurality of multimedia signals does not match at least one class of multimedia signals, creating a new class of multimedia signals, wherein the new class of multimedia signals comprises the plurality of signatures as new representative signatures of the new class of multimedia signals. | 0.5 |
9,710,446 | 17 | 18 | 17. A system for generating an interactive report in an electronic paper file format comprising: providing a processor and memory executing a reporting catalog module, an image processing module, and a link module; said reporting catalog module configured to retrieve and report data from a selected data source and according to a report format, said reported data comprised of report objects within a report; said image processing module, configured to render a base Portable Document File including said report objects in a visual format according to the selected report format; said image processing module further configured to parse said report objects in and generate a metafile, said metafile including an identifier and position information within said electronic paper file for said report objects, said position information comprises of coordinates; said link module configured to parse said metafile and create relational information between said report objects, said relational information comprising a hierarchical relationship between report object pairs, said report object pairs comprising a source report object and a related target report object; and said link module further configured to retrieve a source report object and position information for its related target report object and generate a navigational link in the form of an overlay link layer from said source report object to said target report object, whereby a user can readily traverse report data in a single report according to their informational relationship by navigating said overlay link layers. | 17. A system for generating an interactive report in an electronic paper file format comprising: providing a processor and memory executing a reporting catalog module, an image processing module, and a link module; said reporting catalog module configured to retrieve and report data from a selected data source and according to a report format, said reported data comprised of report objects within a report; said image processing module, configured to render a base Portable Document File including said report objects in a visual format according to the selected report format; said image processing module further configured to parse said report objects in and generate a metafile, said metafile including an identifier and position information within said electronic paper file for said report objects, said position information comprises of coordinates; said link module configured to parse said metafile and create relational information between said report objects, said relational information comprising a hierarchical relationship between report object pairs, said report object pairs comprising a source report object and a related target report object; and said link module further configured to retrieve a source report object and position information for its related target report object and generate a navigational link in the form of an overlay link layer from said source report object to said target report object, whereby a user can readily traverse report data in a single report according to their informational relationship by navigating said overlay link layers. 18. The system of claim 17 , wherein said position information further comprises boundary information. | 0.670968 |
7,822,702 | 1 | 2 | 1. A method of creating a session log for studying usability of one or more computing devices used for social networking, the method comprising: receiving, by a usability engine from at least one usability expert, usability observations observed by the usability expert during a usability session for studying interaction support provided by one or more computing devices to a plurality of users interacting within a social network through the computing devices; recording, by the usability engine, the usability observations in a session log; detecting, by an event listener on at least one of the computing devices, an event generated by the computing device as a result of an interaction among the plurality of users within the social network; notifying, by the event listener, the usability engine of the event; and recording, by the usability engine, a description of the event in the session log, wherein each usability expert has a particular role in studying the interaction support provided by the computing devices and recording the usability observations in a session log further comprises filtering the usability observations in dependence upon the particular role of each usability expert, including determining whether an observation type of each of the usability observations is authorized for storage in the session log in dependence upon usability expert profiles. | 1. A method of creating a session log for studying usability of one or more computing devices used for social networking, the method comprising: receiving, by a usability engine from at least one usability expert, usability observations observed by the usability expert during a usability session for studying interaction support provided by one or more computing devices to a plurality of users interacting within a social network through the computing devices; recording, by the usability engine, the usability observations in a session log; detecting, by an event listener on at least one of the computing devices, an event generated by the computing device as a result of an interaction among the plurality of users within the social network; notifying, by the event listener, the usability engine of the event; and recording, by the usability engine, a description of the event in the session log, wherein each usability expert has a particular role in studying the interaction support provided by the computing devices and recording the usability observations in a session log further comprises filtering the usability observations in dependence upon the particular role of each usability expert, including determining whether an observation type of each of the usability observations is authorized for storage in the session log in dependence upon usability expert profiles. 2. The method of claim 1 wherein: recording, by the usability engine, the usability observations in a session log further comprises weighting the usability observations in dependence upon the particular role of each usability expert. | 0.5 |
8,204,999 | 21 | 26 | 21. A method for providing access to a resource on a network, comprising the steps of: transmitting an identification of said resource, said identification includes an absolute portion and a query portion, said query portion is used by a remote server to identify a first access rule from a plurality of access rules stored at said remote server; and determining whether access to said resource is authorized based on said identification of said resource without granting authorization to said resource, said determining including accessing said first access rule for said resource and accessing an identity profile for a first user to determine whether at least a portion of said first access rule is satisfied based on information in said identity profile, wherein said first access rule is not part of said identity profile. | 21. A method for providing access to a resource on a network, comprising the steps of: transmitting an identification of said resource, said identification includes an absolute portion and a query portion, said query portion is used by a remote server to identify a first access rule from a plurality of access rules stored at said remote server; and determining whether access to said resource is authorized based on said identification of said resource without granting authorization to said resource, said determining including accessing said first access rule for said resource and accessing an identity profile for a first user to determine whether at least a portion of said first access rule is satisfied based on information in said identity profile, wherein said first access rule is not part of said identity profile. 26. The method according to claim 21 , wherein: said remote server determines whether said query portion includes a set of variables in any order. | 0.832184 |
7,509,328 | 1 | 4 | 1. A method of customizing and executing an application software program that during execution communicates with an electronic database of product data, the method comprising: receiving an input for customizing an application software program indicating a user selection of one of a plurality of predefined database attributes that are each defined to be an identifier type of attribute that identifies to a user an identity of a defined product, wherein the product has a plurality of attributes to identify the product, and wherein the selected attribute is associated with a category of products for which data relating to products that are members of the product category are stored in the electronic database; customizing the application software, stored upon a computer readable storage medium, including activating the selected attribute for use during execution of a selected procedure of the application software program, wherein the attribute was previously inactive during the selected procedure of the application software program, and wherein the procedure is defined generically to use an attribute defined as an identifier type of attribute, and wherein the selected procedure includes a product-identifying function; and executing the selected procedure of the application software program, and in so doing, using the selected attribute where the procedure is generically defined to use an attribute defined as an identifier type of attribute, wherein executing the selected procedure of the application software program includes generating a display using information about the selected attribute. | 1. A method of customizing and executing an application software program that during execution communicates with an electronic database of product data, the method comprising: receiving an input for customizing an application software program indicating a user selection of one of a plurality of predefined database attributes that are each defined to be an identifier type of attribute that identifies to a user an identity of a defined product, wherein the product has a plurality of attributes to identify the product, and wherein the selected attribute is associated with a category of products for which data relating to products that are members of the product category are stored in the electronic database; customizing the application software, stored upon a computer readable storage medium, including activating the selected attribute for use during execution of a selected procedure of the application software program, wherein the attribute was previously inactive during the selected procedure of the application software program, and wherein the procedure is defined generically to use an attribute defined as an identifier type of attribute, and wherein the selected procedure includes a product-identifying function; and executing the selected procedure of the application software program, and in so doing, using the selected attribute where the procedure is generically defined to use an attribute defined as an identifier type of attribute, wherein executing the selected procedure of the application software program includes generating a display using information about the selected attribute. 4. The method of claim 1 wherein the selected attribute is further defined as a main identifier type that is used in a product record header display procedure. | 0.581579 |
8,924,374 | 17 | 18 | 17. The computer system of claim 16 , wherein the HTML web page includes multiple pairs of HTML tags, further comprising: instructions for identifying a first subset of the HTML web page between a first pair of HTML tags as a first candidate chunk if the first pair of HTML tags satisfy one of the set of heuristic rules. | 17. The computer system of claim 16 , wherein the HTML web page includes multiple pairs of HTML tags, further comprising: instructions for identifying a first subset of the HTML web page between a first pair of HTML tags as a first candidate chunk if the first pair of HTML tags satisfy one of the set of heuristic rules. 18. The computer system of claim 17 , further comprising: instructions for recursively identifying a second subset of the HTML web page within the first subset of the HTML web page between a second pair of HTML tags as a second candidate chunk if the second pair of HTML tags satisfy one of the set of heuristic rules, wherein the second pair of HTML tags is distinct from the first pair of HTML tags. | 0.5 |
9,374,569 | 1 | 8 | 1. A non-transitory storage medium readable by a non-versatile interpretation device and executable on a player device, said non-transitory storage medium comprising instructions executable even on said non-versatile interpretation device to enable a method of enhanced search and retrieval of one or more relevant media entities from a comprehensive dataset of media entities stored on said non-transitory storage medium, said method comprising: processing a selection of a first level menu comprising a keywords interactive entity and a graded submenu interactive entity; displaying, by a display, a plurality of keywords which are in-built on said non-transitory storage medium based on a selection of said keywords interactive entity, wherein said non-transitory storage medium stores said plurality of keywords that are in-built, wherein each of said plurality of keywords is pre-linked to at least one of said media entities on said non-transitory storage medium, wherein said non-versatile interpretation device comprises a navigation engine built on a limited set of virtual commands embedded on to a chipset to provide interaction with said media entities, wherein said player device comprising a processor, a selection means, and said display; processing, by said selection means, a first input comprising a mere selection of a keyword from said plurality of keywords that are in-built; displaying, by said display means, a subset of said comprehensive dataset of media entities, wherein said subset consists of specific media entities pre-linked to said keyword on said non-transitory storage medium; processing, by said selection means, a second input comprising a selection of a media entity from said subset of said comprehensive dataset of media entities; and playing said media entity, wherein a first level submenu interactive entity and a second level submenu interactive entity are displayed in response to a selection of said graded submenu interactive entity. | 1. A non-transitory storage medium readable by a non-versatile interpretation device and executable on a player device, said non-transitory storage medium comprising instructions executable even on said non-versatile interpretation device to enable a method of enhanced search and retrieval of one or more relevant media entities from a comprehensive dataset of media entities stored on said non-transitory storage medium, said method comprising: processing a selection of a first level menu comprising a keywords interactive entity and a graded submenu interactive entity; displaying, by a display, a plurality of keywords which are in-built on said non-transitory storage medium based on a selection of said keywords interactive entity, wherein said non-transitory storage medium stores said plurality of keywords that are in-built, wherein each of said plurality of keywords is pre-linked to at least one of said media entities on said non-transitory storage medium, wherein said non-versatile interpretation device comprises a navigation engine built on a limited set of virtual commands embedded on to a chipset to provide interaction with said media entities, wherein said player device comprising a processor, a selection means, and said display; processing, by said selection means, a first input comprising a mere selection of a keyword from said plurality of keywords that are in-built; displaying, by said display means, a subset of said comprehensive dataset of media entities, wherein said subset consists of specific media entities pre-linked to said keyword on said non-transitory storage medium; processing, by said selection means, a second input comprising a selection of a media entity from said subset of said comprehensive dataset of media entities; and playing said media entity, wherein a first level submenu interactive entity and a second level submenu interactive entity are displayed in response to a selection of said graded submenu interactive entity. 8. The non-transitory storage medium of claim 1 , wherein said method of enhanced search and retrieval of one or more relevant media entities from said comprehensive dataset of media entities stored on said non-transitory storage medium further comprises: processing, by said selection means, a fourth input comprising a selection of said second level submenu; and displaying said second subset of said comprehensive dataset of media entities linked to said second level submenu in response to said selection of said second level submenu, wherein said keywords interactive entity is also displayed on the same screen along with said first level submenu and said second level submenu. | 0.617581 |
8,527,369 | 22 | 26 | 22. A metadata-driven supplemental feed processing system comprising: one or more application servers; a metadata service providing feed metadata comprising a first set of semantics describing a transformation of seller feed data to customer facing data for inclusion in an item catalog; a template generator module executing on the one or more application servers, operatively connected to the metadata service, and configured to receive a selection of a feature of the item catalog, and generate a supplemental feed template file from a second set of semantics in the feed metadata, the second set of semantics describing a transformation of an attribute related to the selected feature of the item catalog; and a supplemental feed processing module executing on the one or more application servers, operatively connected to the metadata service, and configured to receive supplemental feed data from a seller comprising a value for the attribute related to the selected feature for of an item listing in the item catalog, wherein the supplemental feed data is created from the supplemental feed template file, validate the value for the attribute in the supplemental feed data based on the second set of semantics in the feed metadata, transform the supplemental feed data to supplemental listings data for the item for inclusion in the item catalog based on the second set of semantics in the feed metadata; and merge the value for the attribute in the supplemental listings data with listings data containing values for customer-facing attributes for the item periodically loaded from seller feed data based on the first set of semantics. | 22. A metadata-driven supplemental feed processing system comprising: one or more application servers; a metadata service providing feed metadata comprising a first set of semantics describing a transformation of seller feed data to customer facing data for inclusion in an item catalog; a template generator module executing on the one or more application servers, operatively connected to the metadata service, and configured to receive a selection of a feature of the item catalog, and generate a supplemental feed template file from a second set of semantics in the feed metadata, the second set of semantics describing a transformation of an attribute related to the selected feature of the item catalog; and a supplemental feed processing module executing on the one or more application servers, operatively connected to the metadata service, and configured to receive supplemental feed data from a seller comprising a value for the attribute related to the selected feature for of an item listing in the item catalog, wherein the supplemental feed data is created from the supplemental feed template file, validate the value for the attribute in the supplemental feed data based on the second set of semantics in the feed metadata, transform the supplemental feed data to supplemental listings data for the item for inclusion in the item catalog based on the second set of semantics in the feed metadata; and merge the value for the attribute in the supplemental listings data with listings data containing values for customer-facing attributes for the item periodically loaded from seller feed data based on the first set of semantics. 26. The system of claim 22 , wherein the supplemental feed template comprises a flat file having rows corresponding to one or more distinct items and columns corresponding to one or more seller-facing fields corresponding to the attribute related to the feature of the item catalog. | 0.5 |
8,271,864 | 1 | 21 | 1. A computer-readable storage medium storing a program for causing a computer to perform a method for creating an electronic representation of a position-coded product, the method comprising: accessing an electronic document file comprising layout specifications for a set of document pages; adding to the electronic document file an indication of a number of copies of the set of document pages; adding to the electronic document file at least one pattern license file including addresses corresponding to a set of pattern pages, the at least one pattern license file further including a starting page address and a license parameter identifying at least one property of the at least one pattern license file, each of the addresses in the at least one pattern license file identifying at least one pattern page included in the set of pattern pages, each of the pattern pages being a unique part of a position-coding pattern, wherein the at least one pattern license file associates the set of pattern pages with the position-coding pattern before and independent of an action of printing copies of the position-coded product; and adding to the electronic document file metadata that indicates an ordering of the pattern pages identified by the at least one pattern license file, wherein the document pages are implicitly associated, copy for copy, with the pattern pages according to the ordering. | 1. A computer-readable storage medium storing a program for causing a computer to perform a method for creating an electronic representation of a position-coded product, the method comprising: accessing an electronic document file comprising layout specifications for a set of document pages; adding to the electronic document file an indication of a number of copies of the set of document pages; adding to the electronic document file at least one pattern license file including addresses corresponding to a set of pattern pages, the at least one pattern license file further including a starting page address and a license parameter identifying at least one property of the at least one pattern license file, each of the addresses in the at least one pattern license file identifying at least one pattern page included in the set of pattern pages, each of the pattern pages being a unique part of a position-coding pattern, wherein the at least one pattern license file associates the set of pattern pages with the position-coding pattern before and independent of an action of printing copies of the position-coded product; and adding to the electronic document file metadata that indicates an ordering of the pattern pages identified by the at least one pattern license file, wherein the document pages are implicitly associated, copy for copy, with the pattern pages according to the ordering. 21. The computer-readable storage medium of claim 1 , wherein tying data is calculated and added to the pattern license file. | 0.813988 |
8,086,442 | 1 | 3 | 1. One or more tangible computer-readable storage media that store executable instructions to divide an input into segments, wherein the instructions, when executed by a computer, cause the computer to perform acts comprising: representing one or more segment breaking rules in a first regular expression; combining a plurality of exceptions to said one or more segment breaking rules disjunctively into a second regular expression, said second regular expression being distinct from said first regular expression; finding first strings in said input that match said second regular expression; replacing said first strings with placeholders to create a second string, wherein said second string comprises said input but with said placeholders in place of said first strings; subsequent to said finding and said replacing, using said first regular expression to detect segment break points in said second string; and subsequent to detecting said segment break points, replacing said placeholders in said second string with said first strings. | 1. One or more tangible computer-readable storage media that store executable instructions to divide an input into segments, wherein the instructions, when executed by a computer, cause the computer to perform acts comprising: representing one or more segment breaking rules in a first regular expression; combining a plurality of exceptions to said one or more segment breaking rules disjunctively into a second regular expression, said second regular expression being distinct from said first regular expression; finding first strings in said input that match said second regular expression; replacing said first strings with placeholders to create a second string, wherein said second string comprises said input but with said placeholders in place of said first strings; subsequent to said finding and said replacing, using said first regular expression to detect segment break points in said second string; and subsequent to detecting said segment break points, replacing said placeholders in said second string with said first strings. 3. The one or more tangible computer-readable storage media of claim 1 , wherein said input comprises text in a natural language, and wherein said acts further comprise: choosing said placeholders to be strings that do not occur in said natural language. | 0.676845 |
8,150,694 | 3 | 4 | 3. The system of claim 1 , wherein the acoustic elements in the one or more series divide the one or more represented syllables into one or more core components. | 3. The system of claim 1 , wherein the acoustic elements in the one or more series divide the one or more represented syllables into one or more core components. 4. The system of claim 3 , wherein the one or more core components associated with the one or more represented syllables include an onset, a nucleus, and a coda. | 0.627315 |
10,152,968 | 10 | 14 | 10. A system comprising: at least one memory for storing computer-executable instructions; and at least one processing unit for executing the instructions, wherein execution of the instructions causes the at least one processing unit to perform operations comprising: inferring, based on data indicating locations of a plurality of automation devices and on a location associated with a user, that first speech of the user is directed to a particular automation device of a particular type, wherein the particular automation device is installed and operating at one of the indicated locations, and wherein the location of the particular automation device is proximate to the location associated with the user while the user is uttering the first speech; selecting a topic-specific speech recognition model adapted to recognize speech related to the determined type of automation device, using the topic-specific speech recognition model to recognize second speech provided at the location, wherein recognizing the second speech comprises identifying a query or command relating to the type of automation device and represented by the second speech, and issuing the query or command represented by the second speech to the particular automation device of the particular type, thereby prompting the particular automation device to perform an act responsive to the command or query, wherein the type of automation device is a manufacturing process control type, an industrial process control type, an energy-production process control type, a water treatment process control type, an environmental regulation process control type, and/or a utility process control type. | 10. A system comprising: at least one memory for storing computer-executable instructions; and at least one processing unit for executing the instructions, wherein execution of the instructions causes the at least one processing unit to perform operations comprising: inferring, based on data indicating locations of a plurality of automation devices and on a location associated with a user, that first speech of the user is directed to a particular automation device of a particular type, wherein the particular automation device is installed and operating at one of the indicated locations, and wherein the location of the particular automation device is proximate to the location associated with the user while the user is uttering the first speech; selecting a topic-specific speech recognition model adapted to recognize speech related to the determined type of automation device, using the topic-specific speech recognition model to recognize second speech provided at the location, wherein recognizing the second speech comprises identifying a query or command relating to the type of automation device and represented by the second speech, and issuing the query or command represented by the second speech to the particular automation device of the particular type, thereby prompting the particular automation device to perform an act responsive to the command or query, wherein the type of automation device is a manufacturing process control type, an industrial process control type, an energy-production process control type, a water treatment process control type, an environmental regulation process control type, and/or a utility process control type. 14. The system of claim 10 , further comprising an acoustic sensor operable to detect speech, wherein the system is a mobile device, and wherein the location associated with the user is a location of the mobile device. | 0.844063 |
8,630,975 | 17 | 18 | 17. The method according to claim 14 , wherein the joint probability distribution is estimated by an iterative process at a citation level, comprising, for each document d j , and for the i-th location in document d j , choosing a topic z ji from the topic distribution of document d j , p(z|d j ,θ d j ), where the distribution parameter θ d j is drawn from a Dirichlet distribution Dir(α), choosing a word w ji which follows the multinomial distribution p(w|z ji ,Λ) conditioned on the topic z ji , and respectively incrementing the locations and documents. | 17. The method according to claim 14 , wherein the joint probability distribution is estimated by an iterative process at a citation level, comprising, for each document d j , and for the i-th location in document d j , choosing a topic z ji from the topic distribution of document d j , p(z|d j ,θ d j ), where the distribution parameter θ d j is drawn from a Dirichlet distribution Dir(α), choosing a word w ji which follows the multinomial distribution p(w|z ji ,Λ) conditioned on the topic z ji , and respectively incrementing the locations and documents. 18. The method according to claim 17 , wherein the joint probability distribution is estimated by an iterative process at a document level comprising, for each document d s , and for the i-th location in document d s , choosing a cited document c si from p(c|d s ,Ξ), a multinomial distribution conditioned on the document d s , choosing a topic t si from the topic distribution of the document c si at the citation level, and choosing a word w si which follows the multinomial distribution p(w|t si ,Λ) conditioned on the topic t si , where Ξ is a mixing coefficient matrix which represents how much of the content of the respective document is from direct or indirect references, and a composition of Ξ and θ models the topic distribution at the document level, and respectively incrementing the locations and documents. | 0.537162 |
8,855,998 | 1 | 4 | 1. A method for parsing a name, comprising: receiving, using a processor of a computer, a name to be parsed; identifying a culture of the name; identifying one or more name phrases from the name; associating the name phrases with fields, wherein each of the fields is one of a given name field and a surname field; identifying statistics for the one or more name phrases; providing different parsing techniques that parse different types of name elements differently within at least one of the fields; determining whether to select a first parsing technique among the different parsing techniques based on the culture; in response to determining that the first parsing technique is to be selected, parsing the name using the statistics and the first parsing technique to parse at least one field of the name into the different types of name elements based on the culture; providing the name phrases in the given name field and the surname field; and for the at least one field of the name, providing the name elements and their types; and in response to determining that the first parsing technique is not to be selected, parsing the name using the statistics and a second parsing technique. | 1. A method for parsing a name, comprising: receiving, using a processor of a computer, a name to be parsed; identifying a culture of the name; identifying one or more name phrases from the name; associating the name phrases with fields, wherein each of the fields is one of a given name field and a surname field; identifying statistics for the one or more name phrases; providing different parsing techniques that parse different types of name elements differently within at least one of the fields; determining whether to select a first parsing technique among the different parsing techniques based on the culture; in response to determining that the first parsing technique is to be selected, parsing the name using the statistics and the first parsing technique to parse at least one field of the name into the different types of name elements based on the culture; providing the name phrases in the given name field and the surname field; and for the at least one field of the name, providing the name elements and their types; and in response to determining that the first parsing technique is not to be selected, parsing the name using the statistics and a second parsing technique. 4. The method of claim 1 , further comprising: determining whether the parsed name is valid; and in response to determining that the parsed name is not valid, reordering name phrases of the name to form a reordered name; determining whether to perform the first parsing technique; in response to determining that the first parsing technique is to be performed, parsing the reordered name using the statistics and the first parsing technique; and in response to determining that the first parsing technique is not to be performed, parsing the reordered name using the statistics and a second parsing technique. | 0.5 |
9,760,637 | 10 | 12 | 10. A system for performing wildcard search of encrypted cloud stored data, comprising: a network proxy server, comprising a hardware computer system, configured as a network intermediary between a user device and a cloud service provider storing encrypted files on behalf of the user device; and a database in communication with the network proxy server, wherein the network proxy server is configured to receive a document destined for the cloud service provider, to encrypt the document using a document encryption algorithm, to generate a set of permuted keyword strings for each of some or all of the keywords in the document, the set of permuted keyword strings for each keyword being generated by adding a first character delimiter before the first character of the keyword and applying cyclic rotation of the characters of the keyword, including the first character delimiter, to encrypt the permuted keyword strings using an order preserving encryption algorithm, to store the encrypted permuted keyword strings in the database, and to transmit the encrypted document to the cloud service provider; and wherein the network proxy server is further configured to receive a search request with a search term directed to encrypted documents stored in a cloud service provider, the search term comprising a wildcard search term, to transform the search term to a permuted search term having a prefix search format, to generate a minimum possible plaintext string using the permuted search term as prefix and padding the permuted search term to a first character length using one or more trailing characters indicative of a minimum possible value related to the search term, to generate a maximum possible plaintext string using the permuted search term as prefix and padding the permuted search term to the first character length using one or more trailing characters indicative of a maximum possible value related to the search term, to encrypt the minimum possible plaintext string and the maximum possible plaintext string using the order-preserving encryption algorithm used to encrypt the permuted keyword strings, to generate a minimum ciphertext from the minimum possible plaintext string and a maximum ciphertext from the maximum possible plaintext string, to determine a set of common leading digits from the minimum ciphertext and the maximum ciphertext, to generate a range query including the set of common leading digits, to send the range query to the database of encrypted permuted keyword strings, and to receive a search result from the database including encrypted permuted keyword strings having ciphertext values that fall within the range query. | 10. A system for performing wildcard search of encrypted cloud stored data, comprising: a network proxy server, comprising a hardware computer system, configured as a network intermediary between a user device and a cloud service provider storing encrypted files on behalf of the user device; and a database in communication with the network proxy server, wherein the network proxy server is configured to receive a document destined for the cloud service provider, to encrypt the document using a document encryption algorithm, to generate a set of permuted keyword strings for each of some or all of the keywords in the document, the set of permuted keyword strings for each keyword being generated by adding a first character delimiter before the first character of the keyword and applying cyclic rotation of the characters of the keyword, including the first character delimiter, to encrypt the permuted keyword strings using an order preserving encryption algorithm, to store the encrypted permuted keyword strings in the database, and to transmit the encrypted document to the cloud service provider; and wherein the network proxy server is further configured to receive a search request with a search term directed to encrypted documents stored in a cloud service provider, the search term comprising a wildcard search term, to transform the search term to a permuted search term having a prefix search format, to generate a minimum possible plaintext string using the permuted search term as prefix and padding the permuted search term to a first character length using one or more trailing characters indicative of a minimum possible value related to the search term, to generate a maximum possible plaintext string using the permuted search term as prefix and padding the permuted search term to the first character length using one or more trailing characters indicative of a maximum possible value related to the search term, to encrypt the minimum possible plaintext string and the maximum possible plaintext string using the order-preserving encryption algorithm used to encrypt the permuted keyword strings, to generate a minimum ciphertext from the minimum possible plaintext string and a maximum ciphertext from the maximum possible plaintext string, to determine a set of common leading digits from the minimum ciphertext and the maximum ciphertext, to generate a range query including the set of common leading digits, to send the range query to the database of encrypted permuted keyword strings, and to receive a search result from the database including encrypted permuted keyword strings having ciphertext values that fall within the range query. 12. The system of claim 10 , wherein the network proxy server is further configured to encrypt the permuted keyword strings using a modular order preserving encryption algorithm. | 0.862016 |
9,984,065 | 1 | 3 | 1. A method for optimizing generation of a regular expression utilized for entity extraction, the method comprising the steps of: receiving, at a server, an input from a user of the server, the input enabling at least a first performance optimization parameter; receiving, from a user of a client computer, a query comprising a plain text word; receiving, at the server, data extracted from an electronic repository that is communicatively connected to the server, the data describing probabilities of spelling errors based, at least in part, on a number of syllables in the plain text word; initializing, at the server, the first performance optimization parameter based, at least in part, on the received data and the input enabling at least the first performance optimization parameter; optimizing performance of generating the regular expression, at the server, by, at least in part, identifying, using the first performance optimization parameter, a syllable within the plain text word that has a high probability of at least one of an incorrectly substituted and transposed character within a spelling of a word having a same number of syllables as the plain text word; selecting, at the server, a character in the syllable identified; identifying, at the server, a group of characters from a confusion matrix that are commonly confused with the character selected; generating, at the server, a set of characters for the character selected, wherein the set of characters begins with the character selected followed by and ending with the group of characters from the confusion matrix; determining, at the server, that a probability of omitting the character selected exceeds a threshold, and in response, associating, at the server, a tag with the set of characters; generating, at the server, a regular expression by concatenating the set of characters with one or more additional sets of characters; based, at least in part, on the tag and the regular expression, searching, at the server, the electronic repository for text data describing a spelling of the plain text word in which at least one of (i) the character selected and (ii) one or more characters of the group of characters from the confusion matrix is omitted; and providing, to the user of the client computer, search results based on the regular expression. | 1. A method for optimizing generation of a regular expression utilized for entity extraction, the method comprising the steps of: receiving, at a server, an input from a user of the server, the input enabling at least a first performance optimization parameter; receiving, from a user of a client computer, a query comprising a plain text word; receiving, at the server, data extracted from an electronic repository that is communicatively connected to the server, the data describing probabilities of spelling errors based, at least in part, on a number of syllables in the plain text word; initializing, at the server, the first performance optimization parameter based, at least in part, on the received data and the input enabling at least the first performance optimization parameter; optimizing performance of generating the regular expression, at the server, by, at least in part, identifying, using the first performance optimization parameter, a syllable within the plain text word that has a high probability of at least one of an incorrectly substituted and transposed character within a spelling of a word having a same number of syllables as the plain text word; selecting, at the server, a character in the syllable identified; identifying, at the server, a group of characters from a confusion matrix that are commonly confused with the character selected; generating, at the server, a set of characters for the character selected, wherein the set of characters begins with the character selected followed by and ending with the group of characters from the confusion matrix; determining, at the server, that a probability of omitting the character selected exceeds a threshold, and in response, associating, at the server, a tag with the set of characters; generating, at the server, a regular expression by concatenating the set of characters with one or more additional sets of characters; based, at least in part, on the tag and the regular expression, searching, at the server, the electronic repository for text data describing a spelling of the plain text word in which at least one of (i) the character selected and (ii) one or more characters of the group of characters from the confusion matrix is omitted; and providing, to the user of the client computer, search results based on the regular expression. 3. The method of claim 1 , wherein the tag is one of an ampersand, an asterisk, and a question mark. | 0.889135 |
8,441,449 | 11 | 12 | 11. A handheld electronic device comprising: a processor; and a memory having stored therein a number of routines which, when executed on the processor, cause the handheld electronic device to be adapted to perform operations comprising: receiving an ambiguous input; retrieving a word frame corresponding with the ambiguous input, the word frame comprising a contracted portion corresponding with a subset of the ambiguous input; and outputting a language object associated with the word frame, the language object comprising one or more linguistic elements corresponding with the contracted portion of the word frame, wherein a number of the corresponding linguistic elements in the language object differs from a number of linguistic elements in the subset of the ambiguous input. | 11. A handheld electronic device comprising: a processor; and a memory having stored therein a number of routines which, when executed on the processor, cause the handheld electronic device to be adapted to perform operations comprising: receiving an ambiguous input; retrieving a word frame corresponding with the ambiguous input, the word frame comprising a contracted portion corresponding with a subset of the ambiguous input; and outputting a language object associated with the word frame, the language object comprising one or more linguistic elements corresponding with the contracted portion of the word frame, wherein a number of the corresponding linguistic elements in the language object differs from a number of linguistic elements in the subset of the ambiguous input. 12. The handheld device of claim 11 , wherein the number of the corresponding linguistic elements in the language object is two, and the number of linguistic elements in the subset of the ambiguous input is one or at least three. | 0.702597 |
7,860,704 | 11 | 14 | 11. A computing device including a processor and memory, the computing device configured to: analyze a plurality of web pages; identify a plurality of lexicons indicated by the analyzed plurality of web pages, wherein keywords of each lexicon of the plurality of lexicons are based on conventional sources including dictionaries, and wherein the keywords of each lexicon include terms related to a subject of the plurality of web pages, and wherein each lexicon represents a different subject; determine that at least one lexicon of the identified plurality of lexicons corresponds to a web page of the analyzed plurality of web pages; store the keywords of the at least one lexicon in association with the corresponding web page; receive a request to access the corresponding web page; retrieve, based on the request, the stored keywords of the at least one of the lexicons that correspond to the corresponding web page; display the corresponding web page; and highlight, in the displayed web page, words in the displayed web page that match the retrieved keywords. | 11. A computing device including a processor and memory, the computing device configured to: analyze a plurality of web pages; identify a plurality of lexicons indicated by the analyzed plurality of web pages, wherein keywords of each lexicon of the plurality of lexicons are based on conventional sources including dictionaries, and wherein the keywords of each lexicon include terms related to a subject of the plurality of web pages, and wherein each lexicon represents a different subject; determine that at least one lexicon of the identified plurality of lexicons corresponds to a web page of the analyzed plurality of web pages; store the keywords of the at least one lexicon in association with the corresponding web page; receive a request to access the corresponding web page; retrieve, based on the request, the stored keywords of the at least one of the lexicons that correspond to the corresponding web page; display the corresponding web page; and highlight, in the displayed web page, words in the displayed web page that match the retrieved keywords. 14. The computing device of claim 11 further configured to: correlate the plurality of web pages based on the plurality of lexicons; and create associations between web pages of the correlated plurality of web pages and between the web pages and the plurality of lexicons. | 0.5 |
7,870,118 | 13 | 14 | 13. A search system as claimed in claim 1 , wherein said index means compares said query vector with the weight vectors of said nodes to select said index in response to said query. | 13. A search system as claimed in claim 1 , wherein said index means compares said query vector with the weight vectors of said nodes to select said index in response to said query. 14. A search system as claimed in claim 13 , wherein said comparing is executed from the upper level of the tree structure to the lower level, with paths in the structure being selected on the basis of the comparison between the vectors. | 0.5 |
8,880,564 | 1 | 9 | 1. In a computing system comprising at least one processor, a method for displaying and editing one or more types of entities, the types of which are unknown prior to displaying and performing the edit, the method comprising: the processor generating a view of a plurality of entities associated with a plurality of different data types for presentation on a generic viewer, the entities and data types having relationships as defined in a corresponding schema, the schema and data types being stored as data in a repository, wherein generating a view comprises accessing the schema and relationships in the repository in order to determine the format in which the view is generated wherein the view is based on a portion of the data type; receiving an edit request configured to change one or more selected entities, each entity having an associated data type; querying the repository to determine one or more properties of the selected entities corresponding to the received edit request including the data type of each of the selected entities; determining, based on the schema, that the edit is valid for that entity and data type based on relationship information stored in the schema; and sending the validated edit information to the generic viewer for presentation, the generic viewer dynamically determining how to present the selected entities and data types according to the presentation format intended for that entity and data type as specified by the schema, having no prior knowledge of how to handle the selected entities and corresponding data types. | 1. In a computing system comprising at least one processor, a method for displaying and editing one or more types of entities, the types of which are unknown prior to displaying and performing the edit, the method comprising: the processor generating a view of a plurality of entities associated with a plurality of different data types for presentation on a generic viewer, the entities and data types having relationships as defined in a corresponding schema, the schema and data types being stored as data in a repository, wherein generating a view comprises accessing the schema and relationships in the repository in order to determine the format in which the view is generated wherein the view is based on a portion of the data type; receiving an edit request configured to change one or more selected entities, each entity having an associated data type; querying the repository to determine one or more properties of the selected entities corresponding to the received edit request including the data type of each of the selected entities; determining, based on the schema, that the edit is valid for that entity and data type based on relationship information stored in the schema; and sending the validated edit information to the generic viewer for presentation, the generic viewer dynamically determining how to present the selected entities and data types according to the presentation format intended for that entity and data type as specified by the schema, having no prior knowledge of how to handle the selected entities and corresponding data types. 9. The method of claim 1 , wherein the entities include two or more of the following: text files, presentation files, spreadsheet files, graphic files, audio files, movie files, web page files, word processing files, pictures files, contact lists, charts, tasks and events. | 0.5 |
7,630,974 | 20 | 23 | 20. One or more processor readable storage devices having processor readable code embodied on said one or more processor readable storage devices, said processor readable code for programming one or more processors, said processor readable code comprising: code for maintaining, at a data store, an access management system configured to receive a request to view and modify at least one of a plurality of identity profiles, wherein the request is associated with one or more multi-valued attributes, said request is associated with a preferred language; code for determining said preferred language from at least one of a Uniform Resource Locator (URL) associated with said request, an HTTP a hypertext transfer protocol (HTTP) header variable associated with said request, an individual identity profile associated with said request, and a cookie associated with said request, wherein each individual identity profile comprises a single data structure, wherein said individual identity profile contains all available language components and value components for said multi-valued attribute; code for determining, at the access management system, whether the preferred language of the request matches an installed language at the access management system; in response to the preferred language not matching the installed language, code for performing an approximate language match based at least in part on a language code associated with the preferred language; code for retrieving from the single data structure said one or more multi-valued attributes, said one or more multi-valued attributes include a plurality of values, each of said values includes a language component and a value component, each value component specifies a value for said one or more multi-valued attributes that is associated with a corresponding language component; and code for generating a response to said request, said response includes at least one first value for said one or more multi-valued attributes that corresponds to said preferred language. | 20. One or more processor readable storage devices having processor readable code embodied on said one or more processor readable storage devices, said processor readable code for programming one or more processors, said processor readable code comprising: code for maintaining, at a data store, an access management system configured to receive a request to view and modify at least one of a plurality of identity profiles, wherein the request is associated with one or more multi-valued attributes, said request is associated with a preferred language; code for determining said preferred language from at least one of a Uniform Resource Locator (URL) associated with said request, an HTTP a hypertext transfer protocol (HTTP) header variable associated with said request, an individual identity profile associated with said request, and a cookie associated with said request, wherein each individual identity profile comprises a single data structure, wherein said individual identity profile contains all available language components and value components for said multi-valued attribute; code for determining, at the access management system, whether the preferred language of the request matches an installed language at the access management system; in response to the preferred language not matching the installed language, code for performing an approximate language match based at least in part on a language code associated with the preferred language; code for retrieving from the single data structure said one or more multi-valued attributes, said one or more multi-valued attributes include a plurality of values, each of said values includes a language component and a value component, each value component specifies a value for said one or more multi-valued attributes that is associated with a corresponding language component; and code for generating a response to said request, said response includes at least one first value for said one or more multi-valued attributes that corresponds to said preferred language. 23. One or more processor readable storage devices according to claim 20 , wherein: said plurality of language components each include at least one of a language code and a country code. | 0.774272 |
8,210,851 | 4 | 5 | 4. The method as recited in claim 2 , wherein a blended representation of the phoneme is generated by: multiplying waveforms of the first representation of the phoneme and the second representation of the phoneme by respective coefficients to generate a weighted simplified phoneme waveform and a weighted complex waveform; and adding the weighted simplified phoneme waveform and the weighted complex phoneme waveform to generate the blended representation. | 4. The method as recited in claim 2 , wherein a blended representation of the phoneme is generated by: multiplying waveforms of the first representation of the phoneme and the second representation of the phoneme by respective coefficients to generate a weighted simplified phoneme waveform and a weighted complex waveform; and adding the weighted simplified phoneme waveform and the weighted complex phoneme waveform to generate the blended representation. 5. The method as recited in claim 4 , wherein additional blended representations of the phoneme are generated by: progressively modifying the respective coefficients to generate blended representations of the phoneme comprising progressively larger proportions of the first, relatively simplified representation of the phoneme. | 0.5 |
7,890,523 | 1 | 4 | 1. A property grid filtering system for updating a property grid based on a search term, the system comprising: a search string parser configured to parse the search term into one or more search predicates, wherein the search term is provided to the system in a search term field; a filter configured to maintain the one or more search predicates derived from the parsed search term; an ApplyFilter method configured to apply the filter to each category of a plurality of categories of the property grid and each property of a plurality of properties of the property grid, wherein each of the plurality of properties is associated with at least one of the plurality of categories, and wherein applying the filter includes testing each category of the plurality of categories to determine that category metadata of the each category matches at least one of the one or more search predicates and marking each matching category, and wherein the category metadata includes a name of the each category and a type of the each category, and wherein the applying further includes testing each property of the plurality of properties to determine that property metadata of the each property matches at least one of the one or more search predicates and marking each matching property, and wherein the property metadata includes a name of the each property and a type of the each property and a category of the each property; wherein the property grid filtering system is configured to update the property grid to include, of the plurality of categories, only the marked categories, and to include, of the plurality of properties, only the marked properties; wherein the property grid filtering system is configured to display the updated property grid including the marked categories and the marked properties in response to the search term being present in the search term field, and to display the property grid including the plurality of categories and the plurality of properties instead of the updated property grid including the marked categories and the marked properties in response to the search term being cleared from the search term field; and a computing device configured to perform at least the ApplyFilter method. | 1. A property grid filtering system for updating a property grid based on a search term, the system comprising: a search string parser configured to parse the search term into one or more search predicates, wherein the search term is provided to the system in a search term field; a filter configured to maintain the one or more search predicates derived from the parsed search term; an ApplyFilter method configured to apply the filter to each category of a plurality of categories of the property grid and each property of a plurality of properties of the property grid, wherein each of the plurality of properties is associated with at least one of the plurality of categories, and wherein applying the filter includes testing each category of the plurality of categories to determine that category metadata of the each category matches at least one of the one or more search predicates and marking each matching category, and wherein the category metadata includes a name of the each category and a type of the each category, and wherein the applying further includes testing each property of the plurality of properties to determine that property metadata of the each property matches at least one of the one or more search predicates and marking each matching property, and wherein the property metadata includes a name of the each property and a type of the each property and a category of the each property; wherein the property grid filtering system is configured to update the property grid to include, of the plurality of categories, only the marked categories, and to include, of the plurality of properties, only the marked properties; wherein the property grid filtering system is configured to display the updated property grid including the marked categories and the marked properties in response to the search term being present in the search term field, and to display the property grid including the plurality of categories and the plurality of properties instead of the updated property grid including the marked categories and the marked properties in response to the search term being cleared from the search term field; and a computing device configured to perform at least the ApplyFilter method. 4. The system of claim 1 wherein the property grid filtering system is further configured to notify a custom property editor associated with the property grid. | 0.682 |
9,753,897 | 8 | 9 | 8. A system for building a custom publication, comprising: a processor; a data store, storing a library of electronic source publications having defined units of content within the source publications, the library storing source publication metadata for the defined units of content, wherein the custom publication includes references to defined units of content associated with the selected units of content; a non-transitory computer readable medium storing a set of instructions executable by the processor for: receiving a selection of units of content for inclusion in a custom publication, each unit of content selected from one of the source publications; creating a set of custom publication units for an unpublished custom publication, wherein creating the set of custom publication units comprises accessing the library, copying the selected units of content and associating the copied, selected units of content with the unpublished custom publication; including additional content in at least one of the set of custom publication units of content; publishing the unpublished custom publication, wherein publishing the unpublished custom publication comprises: for common structural elements in the custom publication units, including the at least one custom publication unit including the additional content, determining a corresponding structural element type, and applying consistent styling to each of the common structural elements in the set of custom publication units of content, including the at least one custom publication unit including the additional content, based upon the determined structural element type, to create a published custom publication with consistent styling; and providing the published custom publication in an electronic format. | 8. A system for building a custom publication, comprising: a processor; a data store, storing a library of electronic source publications having defined units of content within the source publications, the library storing source publication metadata for the defined units of content, wherein the custom publication includes references to defined units of content associated with the selected units of content; a non-transitory computer readable medium storing a set of instructions executable by the processor for: receiving a selection of units of content for inclusion in a custom publication, each unit of content selected from one of the source publications; creating a set of custom publication units for an unpublished custom publication, wherein creating the set of custom publication units comprises accessing the library, copying the selected units of content and associating the copied, selected units of content with the unpublished custom publication; including additional content in at least one of the set of custom publication units of content; publishing the unpublished custom publication, wherein publishing the unpublished custom publication comprises: for common structural elements in the custom publication units, including the at least one custom publication unit including the additional content, determining a corresponding structural element type, and applying consistent styling to each of the common structural elements in the set of custom publication units of content, including the at least one custom publication unit including the additional content, based upon the determined structural element type, to create a published custom publication with consistent styling; and providing the published custom publication in an electronic format. 9. The system of claim 8 , wherein the published custom publication comprises at least one non-text portion. | 0.758929 |
5,517,637 | 19 | 21 | 19. A method for producing an integrated circuit, the method comprising the steps of: receiving integrated circuit topology information for the integrated circuit from an integrated circuit netlist stored in computer readable memory, wherein the integrated circuit has a boundary scan test architecture, and the integrated circuit topology information includes test architecture topology information; generating a boundary scan description of the test architecture based on the test architecture topology information; selecting a selected test from a predetermined set of test methodologies for testing the test architecture; generating test parameters for a logic simulation based on the boundary scan description and the selected test; testing the test architecture via simulation by utilizing a logic simulation which exercises the integrated circuit netlist based on the test parameters and the integrated circuit topology information; and fabricating the integrated circuit including the test architecture when the step of testing indicates that no errors occurred within the test architecture. | 19. A method for producing an integrated circuit, the method comprising the steps of: receiving integrated circuit topology information for the integrated circuit from an integrated circuit netlist stored in computer readable memory, wherein the integrated circuit has a boundary scan test architecture, and the integrated circuit topology information includes test architecture topology information; generating a boundary scan description of the test architecture based on the test architecture topology information; selecting a selected test from a predetermined set of test methodologies for testing the test architecture; generating test parameters for a logic simulation based on the boundary scan description and the selected test; testing the test architecture via simulation by utilizing a logic simulation which exercises the integrated circuit netlist based on the test parameters and the integrated circuit topology information; and fabricating the integrated circuit including the test architecture when the step of testing indicates that no errors occurred within the test architecture. 21. The method of claim 19 further comprises determining that no definition errors in the boundary scan description were identified during the testing, thereby indicating that the testing was successful. | 0.554825 |
9,070,036 | 10 | 12 | 10. The note recognition device of claim 9 , wherein the note recognition module is further configured to identify the mark of the one of the plurality of physical notes from the visual representation. | 10. The note recognition device of claim 9 , wherein the note recognition module is further configured to identify the mark of the one of the plurality of physical notes from the visual representation. 12. The note recognition device of claim 10 , wherein the note recognition module is further configured to identify the predefined boundary of the one of the plurality of physical notes based upon the recognized mark, a known shape of the one of the plurality of physical notes, and a known relative position of the mark on the one of the plurality of physical notes. | 0.5 |
7,640,563 | 20 | 27 | 20. A system comprising: a description provider interface to receive a plurality of descriptions of a media content from a plurality of description providers, wherein each of the description providers has an associated trust level; and a composite generator to generate a composite description of the media content based on the plurality of descriptions of the media content and the trust levels associated with each of the plurality of description providers, the composite description comprising relative degrees to which the media content relates to each of a plurality of genres. | 20. A system comprising: a description provider interface to receive a plurality of descriptions of a media content from a plurality of description providers, wherein each of the description providers has an associated trust level; and a composite generator to generate a composite description of the media content based on the plurality of descriptions of the media content and the trust levels associated with each of the plurality of description providers, the composite description comprising relative degrees to which the media content relates to each of a plurality of genres. 27. The system as recited in claim 20 , further comprising a user interface component to facilitate receiving a description of the media content. | 0.858121 |
8,874,525 | 5 | 6 | 5. The method of claim 1 , wherein the information related to the event includes a timestamp that indicates a point in time at which the event was generated by the application. | 5. The method of claim 1 , wherein the information related to the event includes a timestamp that indicates a point in time at which the event was generated by the application. 6. The method of claim 5 , wherein the information related to the event further includes an identifier tag associated with a feature of the application related to the event. | 0.5 |
9,478,146 | 10 | 17 | 10. The method according to claim 9 , further comprising: detecting, by the image-capturing sensor, a second mark in a second region of the worksheet, wherein the second region is in a second indicator portion of the position-identifying pattern, in which the second indicator portion corresponds to a correct region or an incorrect region associated with a second word; detecting, by the image-capturing sensor, a second note in the note region; based on whether the second mark, the second note, or both indicates that the second word was answered incorrectly or correctly, determine a second assessment result for the second word; and including the second reading assessment result, the marks and notations associated with the second word, and information identifying where on the worksheet the markings and notations associated with the second word are located in the digital document file. | 10. The method according to claim 9 , further comprising: detecting, by the image-capturing sensor, a second mark in a second region of the worksheet, wherein the second region is in a second indicator portion of the position-identifying pattern, in which the second indicator portion corresponds to a correct region or an incorrect region associated with a second word; detecting, by the image-capturing sensor, a second note in the note region; based on whether the second mark, the second note, or both indicates that the second word was answered incorrectly or correctly, determine a second assessment result for the second word; and including the second reading assessment result, the marks and notations associated with the second word, and information identifying where on the worksheet the markings and notations associated with the second word are located in the digital document file. 17. The method according to claim 10 , further comprising using the first reading assessment result, the second reading assessment result, the first note and the second note to generate a reading assessment report. | 0.755708 |
9,466,297 | 1 | 7 | 1. A method for controlling the response to spoken language input, comprising: receiving user data from a device; receiving a first spoken language input from the device; identifying tags within the first spoken language input; searching a knowledge base framework based on the tags and the user data, wherein the knowledge base framework is a database that includes a plurality of entities, attributes, and relationships between the entities and the attributes; identifying entities, attributes, and relationship within the knowledge base framework that match at least one of the tags and the user data; identifying at least one interconnected item within the knowledge base framework that did not match any of the tags and the user data to form at least one inferred item; creating a state graph based on a portion of the knowledge base framework that includes any matched entities, matched attributes, identified relationships, and the at least one inferred item, and based on the tags, wherein the state graph is created at least in part by transforming the portion of the knowledge base framework into a probabilistic model graph by replacing the identified relationships with weighted connections and by assigning a confidence indicator to each node of the state graph; determining at least one goal based on the state graph; and sending instructions to perform an action to the device based on the at least one goal, the weighted connections, and the confidence indicators. | 1. A method for controlling the response to spoken language input, comprising: receiving user data from a device; receiving a first spoken language input from the device; identifying tags within the first spoken language input; searching a knowledge base framework based on the tags and the user data, wherein the knowledge base framework is a database that includes a plurality of entities, attributes, and relationships between the entities and the attributes; identifying entities, attributes, and relationship within the knowledge base framework that match at least one of the tags and the user data; identifying at least one interconnected item within the knowledge base framework that did not match any of the tags and the user data to form at least one inferred item; creating a state graph based on a portion of the knowledge base framework that includes any matched entities, matched attributes, identified relationships, and the at least one inferred item, and based on the tags, wherein the state graph is created at least in part by transforming the portion of the knowledge base framework into a probabilistic model graph by replacing the identified relationships with weighted connections and by assigning a confidence indicator to each node of the state graph; determining at least one goal based on the state graph; and sending instructions to perform an action to the device based on the at least one goal, the weighted connections, and the confidence indicators. 7. The method of claim 1 , wherein the determining the at least one goal based on the state graph comprises: classifying patterns of the confidence indicators utilizing machine learning models. | 0.930425 |
5,410,611 | 33 | 34 | 33. The method of claim 32, wherein the step of determining a threshold separation distance comprises the steps of: (a) locating two local maxima separated by a minima in the separation distance histogram; and (b) selecting a threshold separation distance lying between the two local maxima. | 33. The method of claim 32, wherein the step of determining a threshold separation distance comprises the steps of: (a) locating two local maxima separated by a minima in the separation distance histogram; and (b) selecting a threshold separation distance lying between the two local maxima. 34. The method of claim 33, wherein the step of selecting a threshold separation distance comprises the step of setting the threshold separation distance to the average of the two maxima. | 0.5 |
9,390,211 | 5 | 6 | 5. The method of claim 1 , wherein said partitioning the circuit design comprises creating a set of partitions corresponding to the set of clusters and assigning each cell to a partition in the set of partitions based on the set of probability values. | 5. The method of claim 1 , wherein said partitioning the circuit design comprises creating a set of partitions corresponding to the set of clusters and assigning each cell to a partition in the set of partitions based on the set of probability values. 6. The method of claim 5 , wherein said optimizing the placed circuit design comprises performing an iterative optimization process to optimize an objective function based on the placed circuit design, wherein in each iteration of the iterative optimization process at least one cell is reassigned to a different layout bin based on the set of probability values. | 0.5 |
9,430,531 | 90 | 91 | 90. The method of claim 89 further comprising: maintaining the social graph comprising: using activity information stored at the storage server, determining a plurality of nodes representing persons specified in a plurality of activity information stored at the storage server; generating a plurality of edges in the social graph, wherein each edge represents at least one activity information of the plurality of activity information; and using the plurality of edges to couple the plurality of nodes. | 90. The method of claim 89 further comprising: maintaining the social graph comprising: using activity information stored at the storage server, determining a plurality of nodes representing persons specified in a plurality of activity information stored at the storage server; generating a plurality of edges in the social graph, wherein each edge represents at least one activity information of the plurality of activity information; and using the plurality of edges to couple the plurality of nodes. 91. The method of claim 90 wherein the determining the plurality of nodes representing persons specified in a plurality of activity information stored at the storage server comprises disallowing access to personally identifiable information of the persons. | 0.5 |
10,096,317 | 8 | 9 | 8. A non-transitory computer-readable storage medium storing instructions executable by a computer processor, the instructions comprising: instructions for accessing a literal speech recognition corpus comprising a plurality of expressions, an expression comprising a sequence of word tokens; instructions for accessing a concept tagging module for identifying instances of a plurality of concepts within an expression and for replacing expressions with placeholders that indicate classes associated with concepts; instructions for generating a parameterized speech recognition corpus by using the concept tagging module to identify, within the expressions of the literal speech recognition corpus, portions of the expressions that are instances of the concepts and to replace the identified portions of the expressions with placeholders; and instructions for generating a parameterized statistical model based on the parameterized speech recognition corpus instructions for receiving, over a computer network, an utterance of a user, the utterance having been accepted from the user at a client device as spoken input; and instructions for generating a text interpretation of the utterance using the parameterized statistical model together with a language sub-model corresponding to one of the plurality of concepts. | 8. A non-transitory computer-readable storage medium storing instructions executable by a computer processor, the instructions comprising: instructions for accessing a literal speech recognition corpus comprising a plurality of expressions, an expression comprising a sequence of word tokens; instructions for accessing a concept tagging module for identifying instances of a plurality of concepts within an expression and for replacing expressions with placeholders that indicate classes associated with concepts; instructions for generating a parameterized speech recognition corpus by using the concept tagging module to identify, within the expressions of the literal speech recognition corpus, portions of the expressions that are instances of the concepts and to replace the identified portions of the expressions with placeholders; and instructions for generating a parameterized statistical model based on the parameterized speech recognition corpus instructions for receiving, over a computer network, an utterance of a user, the utterance having been accepted from the user at a client device as spoken input; and instructions for generating a text interpretation of the utterance using the parameterized statistical model together with a language sub-model corresponding to one of the plurality of concepts. 9. The non-transitory computer-readable storage medium of claim 8 , wherein the language sub-model is customized for the user, and wherein generating the interpretation of the utterance comprises generating a user-specific interpretation of the utterance using the language sub-model customized for the user. | 0.548387 |
8,760,389 | 11 | 19 | 11. An apparatus comprising: a processor; and memory having machine-readable computer program code stored thereon, the memory and the computer program code configured to, with the processor, cause the apparatus to: read handwriting information; recognize said handwriting information in a first recognition mode and a second recognition mode, wherein one of the first recognition mode and the second recognition mode is designated as active and the other recognition mode is designated as inactive; concurrently display character candidates, at least one of the character candidates obtained in said first recognition mode and at least one of said character candidates obtained in said second recognition mode, wherein the character candidates are text characters, wherein concurrently displaying comprises: displaying a first number of the character candidates obtained in the recognition mode designated as active; and displaying a second number of the character candidates obtained in the recognition mode designated as inactive, wherein the first number is greater than the second number; and receive a selection of a character candidate among the character candidates being displayed. | 11. An apparatus comprising: a processor; and memory having machine-readable computer program code stored thereon, the memory and the computer program code configured to, with the processor, cause the apparatus to: read handwriting information; recognize said handwriting information in a first recognition mode and a second recognition mode, wherein one of the first recognition mode and the second recognition mode is designated as active and the other recognition mode is designated as inactive; concurrently display character candidates, at least one of the character candidates obtained in said first recognition mode and at least one of said character candidates obtained in said second recognition mode, wherein the character candidates are text characters, wherein concurrently displaying comprises: displaying a first number of the character candidates obtained in the recognition mode designated as active; and displaying a second number of the character candidates obtained in the recognition mode designated as inactive, wherein the first number is greater than the second number; and receive a selection of a character candidate among the character candidates being displayed. 19. The apparatus according to claim 11 , wherein said first recognition mode and said second recognition mode are different modes selected from a group consisting of: ideographic character modes, digit modes, and Latin alphabet modes. | 0.838377 |
8,620,139 | 1 | 5 | 1. A method comprising: receiving a request from a user of a client computing device for a video file, wherein the video file comprises: audibly spoken words in a source language; subtitles in the source language that are synchronized with the audibly spoken words, the subtitles segmented into a plurality of source language segments, each source language segment comprising a respective plurality of source language words; and subtitles in a target language that are segmented into a plurality of target language segments, each target language segment comprising a respective plurality of target language words, each source language segment in the source language segments mapped to a respective target language segment in the target language segments, and each source language word in each source language segment mapped to a respective target language word in the respective target language segment; and causing the video file to be streamed to the client computing device responsive to receipt of the request, wherein the video file, when viewed at the client computing device, comprises the subtitles in the source language and the subtitles in the target language that are displayed in synchronization with the audibly spoken words, wherein the video file, when viewed at the client computing device, includes words in the subtitles in the source language and words in the subtitles in the target language that are highlighted as corresponding audibly spoken words are output. | 1. A method comprising: receiving a request from a user of a client computing device for a video file, wherein the video file comprises: audibly spoken words in a source language; subtitles in the source language that are synchronized with the audibly spoken words, the subtitles segmented into a plurality of source language segments, each source language segment comprising a respective plurality of source language words; and subtitles in a target language that are segmented into a plurality of target language segments, each target language segment comprising a respective plurality of target language words, each source language segment in the source language segments mapped to a respective target language segment in the target language segments, and each source language word in each source language segment mapped to a respective target language word in the respective target language segment; and causing the video file to be streamed to the client computing device responsive to receipt of the request, wherein the video file, when viewed at the client computing device, comprises the subtitles in the source language and the subtitles in the target language that are displayed in synchronization with the audibly spoken words, wherein the video file, when viewed at the client computing device, includes words in the subtitles in the source language and words in the subtitles in the target language that are highlighted as corresponding audibly spoken words are output. 5. The method of claim 1 , further comprising: prior to receiving the request for the video file from the user, receiving the video file from a second user, wherein the video file, when received from the second user, fails to include the subtitles in the source language and the subtitles in the target language; and subsequent to receiving the video file from the second user and prior to receiving the request for the video file from the user, utilizing speech recognition to automatically generate the subtitles in the source language. | 0.71322 |
8,214,421 | 18 | 20 | 18. The conformance testing system of claim 17 , wherein the computer-readable medium stores verification rules corresponding to the markup language standard, the verification rules comprising a representation of the protocol verification graph; and wherein the processor executes the verification rules to test conformance of the plurality of messages to the markup language standard. | 18. The conformance testing system of claim 17 , wherein the computer-readable medium stores verification rules corresponding to the markup language standard, the verification rules comprising a representation of the protocol verification graph; and wherein the processor executes the verification rules to test conformance of the plurality of messages to the markup language standard. 20. The conformance testing system of claim 18 , wherein the protocol verification graph comprises a plurality of different protocol verification graphs of different classes of the two or more participants. | 0.5 |
8,005,832 | 10 | 17 | 10. A method for providing recommendations, the method comprising: using a target search document for a user to determine a recommendation, the target search document including target search information related to multiple interactions performed in a first search by a user; determining a plurality of prior search documents created, modified, and submitted by other users, each of the plurality of prior search documents including prior search information related to multiple interactions performed in a prior search; in response to receiving the target search information, dynamically determining a subset of prior search documents from the plurality of prior search documents using the target search information, wherein the subset of prior search documents are dynamically determined by: ranking the plurality of prior search documents based on a first relevance calculation, wherein the first relevance calculation compares the plurality of prior search documents to the target search document to determine the ranking, and selecting, the subset of prior search documents, the subset including a number of prior search documents considered to be most relevant to the target search document in the ranking of plurality of prior search documents; dynamically determining, using a computing device, the recommendation of a resource for the first search using the one or more partial search results found in the subset of prior search documents by: ranking a plurality of resources contained in the one or more partial search results found in the subset of prior search documents based on a second relevance calculation, the second relevance calculation based on a calculated importance of a resource in comparison to calculated importance of other resources in the plurality of resources, and determining the resource in the ranked plurality of resources, the resource being considered to be a highest ranked resource in the plurality of resources, providing the determined recommendation to the user. | 10. A method for providing recommendations, the method comprising: using a target search document for a user to determine a recommendation, the target search document including target search information related to multiple interactions performed in a first search by a user; determining a plurality of prior search documents created, modified, and submitted by other users, each of the plurality of prior search documents including prior search information related to multiple interactions performed in a prior search; in response to receiving the target search information, dynamically determining a subset of prior search documents from the plurality of prior search documents using the target search information, wherein the subset of prior search documents are dynamically determined by: ranking the plurality of prior search documents based on a first relevance calculation, wherein the first relevance calculation compares the plurality of prior search documents to the target search document to determine the ranking, and selecting, the subset of prior search documents, the subset including a number of prior search documents considered to be most relevant to the target search document in the ranking of plurality of prior search documents; dynamically determining, using a computing device, the recommendation of a resource for the first search using the one or more partial search results found in the subset of prior search documents by: ranking a plurality of resources contained in the one or more partial search results found in the subset of prior search documents based on a second relevance calculation, the second relevance calculation based on a calculated importance of a resource in comparison to calculated importance of other resources in the plurality of resources, and determining the resource in the ranked plurality of resources, the resource being considered to be a highest ranked resource in the plurality of resources, providing the determined recommendation to the user. 17. The method of claim 10 , further comprising: determining partial search results for the target search document; and removing any partial search results that are found in the recommendation determined. | 0.651877 |
10,149,746 | 1 | 7 | 1. A method for producing a dental shaped body from a blank having a corpus of tooth restoration material by a tool adapted to remove said material, wherein, to detect a position of said corpus inserted in a machining device, contact scanning is performed on said blank by said tool, the method including steps of: providing a machining tool in a first position; detecting at least one geometric structure on said blank, the at least one geometric structure defines information that corresponds to at least one relevant dimension of said blank corpus; and using the information that corresponds to said at least one relevant dimension of said blank corpus to preposition said machining tool to a second position at or close to a first reference surface or a first reference structure for a contacting operation; determining a position of the first reference surface or first reference structure by contact scanning from said second position; and using the determined position as a starting position to detect one or more other geometric structures and/or to perform one or more other contact scanning such that contacting times of the tool during contact scanning and/or machining times of the tool during machining are reduced. | 1. A method for producing a dental shaped body from a blank having a corpus of tooth restoration material by a tool adapted to remove said material, wherein, to detect a position of said corpus inserted in a machining device, contact scanning is performed on said blank by said tool, the method including steps of: providing a machining tool in a first position; detecting at least one geometric structure on said blank, the at least one geometric structure defines information that corresponds to at least one relevant dimension of said blank corpus; and using the information that corresponds to said at least one relevant dimension of said blank corpus to preposition said machining tool to a second position at or close to a first reference surface or a first reference structure for a contacting operation; determining a position of the first reference surface or first reference structure by contact scanning from said second position; and using the determined position as a starting position to detect one or more other geometric structures and/or to perform one or more other contact scanning such that contacting times of the tool during contact scanning and/or machining times of the tool during machining are reduced. 7. The method as defined in claim 1 , wherein said geometric structure comprising at least one surface, deviates in position, dimension or nature of said surface from that of a predefined reference surface, which deviation corresponds to information concerning the blank corpus. | 0.593567 |
7,987,088 | 2 | 6 | 2. A method as in claim 1 where generating the ontology includes adding core noun phrases. | 2. A method as in claim 1 where generating the ontology includes adding core noun phrases. 6. A method as in claim 2 which includes processing fragments into phrases. | 0.563953 |
7,904,876 | 19 | 20 | 19. A computer-readable medium holding instructions for viewing a graphical block diagram model outside of a graphical modeling environment, the instructions comprising one or more instructions for: obtaining a graphical block diagram model generated in a graphical modeling environment, the graphical block diagram model representing a dynamic system, the graphical block diagram model including at least one block that represents a portion of the system and at least one line representing a signal provided as an input or an output of the block; converting the graphical block diagram model to an interactive graphics language format; displaying a view of the graphical block diagram model in the interactive graphics language format outside of the graphical modeling environment; and allowing modifying the displayed view without modifying the graphical block diagram model. | 19. A computer-readable medium holding instructions for viewing a graphical block diagram model outside of a graphical modeling environment, the instructions comprising one or more instructions for: obtaining a graphical block diagram model generated in a graphical modeling environment, the graphical block diagram model representing a dynamic system, the graphical block diagram model including at least one block that represents a portion of the system and at least one line representing a signal provided as an input or an output of the block; converting the graphical block diagram model to an interactive graphics language format; displaying a view of the graphical block diagram model in the interactive graphics language format outside of the graphical modeling environment; and allowing modifying the displayed view without modifying the graphical block diagram model. 20. The medium of claim 19 wherein the interactive graphics language format is an interactive vector graphics language format. | 0.5 |
8,141,065 | 7 | 12 | 7. An apparatus comprising a processor for dynamically instantiating a portion of a call flow graph having a plurality of states and a plurality of state transitions, the apparatus comprises: means for executing the graph, wherein the graph comprises a defined portion and an undefined portion, wherein a plurality of tokens traverse the graph executing functions; means for suspending one of the tokens in response to the one of the tokens detecting the undefined portion of the graph; means for generating a new portion of the graph for the undefined portion of the graph, said means for generating the new portion of the graph comprising: means for generating at least one definition file for the undefined portion of the graph; and means for executing the at least one definition file to form thereby the new portion of the graph; means for replacing the undefined portion of the graph with the new portion of the graph; and means for releasing the suspended token. | 7. An apparatus comprising a processor for dynamically instantiating a portion of a call flow graph having a plurality of states and a plurality of state transitions, the apparatus comprises: means for executing the graph, wherein the graph comprises a defined portion and an undefined portion, wherein a plurality of tokens traverse the graph executing functions; means for suspending one of the tokens in response to the one of the tokens detecting the undefined portion of the graph; means for generating a new portion of the graph for the undefined portion of the graph, said means for generating the new portion of the graph comprising: means for generating at least one definition file for the undefined portion of the graph; and means for executing the at least one definition file to form thereby the new portion of the graph; means for replacing the undefined portion of the graph with the new portion of the graph; and means for releasing the suspended token. 12. The apparatus of claim 7 , wherein at least one other token traverses the defined portion of the graph at least while the new portion of the graph is defined. | 0.75 |
9,852,363 | 2 | 5 | 2. The method of claim 1 , wherein storing the database images comprises storing the database images as training data for a machine learning model. | 2. The method of claim 1 , wherein storing the database images comprises storing the database images as training data for a machine learning model. 5. The method of claim 2 , further comprising: training, using the training data that includes the database images, the machine learning model to receive, as an input, sequences of frames extracted from videos and predict other frames in the videos. | 0.5 |
9,063,924 | 20 | 23 | 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. 23. The computer system of claim 20 , wherein the ordered data structure comprises a linked list and wherein the instructions to determine a direction of propagation of the propagating attribute within the ordered data structure further cause the processor to determine whether the direction of propagation of the propagating attribute is left, right, or bidirectional. | 0.625761 |
9,191,384 | 1 | 3 | 1. A system for concealing tenancy in a multi-tenant cloud service relying on federated identities, said system comprising: a memory area associated with a cloud service, said memory area storing a set of tenant identifiers each corresponding to one of a plurality of tenants of the cloud service; and a processor programmed to: receive a request for a document from a first entity by the cloud service, the request including an identifier associated with a second entity; receive, from an identity provider, a token authenticating the first entity; compare the identifier to a set of tenant identifiers each corresponding to one of the plurality of tenants to determine whether the second entity is one of the plurality of tenants; dynamically generate a fictitious document in response to the request after determining that the second entity is not one of the plurality of tenants; digitally sign the generated fictitious document with a certificate for the second entity; and send the signed fictitious document to the first entity. | 1. A system for concealing tenancy in a multi-tenant cloud service relying on federated identities, said system comprising: a memory area associated with a cloud service, said memory area storing a set of tenant identifiers each corresponding to one of a plurality of tenants of the cloud service; and a processor programmed to: receive a request for a document from a first entity by the cloud service, the request including an identifier associated with a second entity; receive, from an identity provider, a token authenticating the first entity; compare the identifier to a set of tenant identifiers each corresponding to one of the plurality of tenants to determine whether the second entity is one of the plurality of tenants; dynamically generate a fictitious document in response to the request after determining that the second entity is not one of the plurality of tenants; digitally sign the generated fictitious document with a certificate for the second entity; and send the signed fictitious document to the first entity. 3. The system of claim 1 , wherein the processor is further programmed to, in response to receiving the request, redirect the first entity to the identity provider to authenticate a federated identity for the first entity. | 0.519481 |
8,909,703 | 9 | 12 | 9. A system for facilitating a real-time virtual interaction between two or more users, comprising: a memory; and at least one processor coupled to said memory and operative to: extract a dynamically changing context from two or more users, wherein the context comprises at least one of user-provided information and one or more items related to at least one of current activity and past activity of the two or more users; analyze the context from each user to create a distinct classification for each user; compare the distinct classification for each user with a distinct classification for each additional user, wherein comparing comprises ordering each user in terms of closeness to each additional user; and use the ordering of each user in terms of closeness to each additional user to facilitate a real-time virtual interaction between two or more users. | 9. A system for facilitating a real-time virtual interaction between two or more users, comprising: a memory; and at least one processor coupled to said memory and operative to: extract a dynamically changing context from two or more users, wherein the context comprises at least one of user-provided information and one or more items related to at least one of current activity and past activity of the two or more users; analyze the context from each user to create a distinct classification for each user; compare the distinct classification for each user with a distinct classification for each additional user, wherein comparing comprises ordering each user in terms of closeness to each additional user; and use the ordering of each user in terms of closeness to each additional user to facilitate a real-time virtual interaction between two or more users. 12. The system of claim 9 , wherein the at least one processor coupled to said memory is further operative to enable each user to communicate with each additional user and navigate one or more three-dimensional (3D) environments. | 0.789134 |
8,890,806 | 1 | 2 | 1. A method for enabling input on a handheld electronic device having a display, the method comprising: detecting a plurality of input key selections as an initial portion of an ambiguous input; outputting at a first location on the display the initial portion of an ambiguous input; identifying a plurality of prefix objects corresponding to the initial portion of the ambiguous input, each of the plurality of prefix objects associated with an initial portion of a language object being a proposed textual interpretation of the ambiguous input; outputting at a second location on the display the plurality of prefix objects; and upon selection of a prefix object, outputting at the first location on the display the prefix object, wherein the outputted prefix object differs from the initial portion of the ambiguous input. | 1. A method for enabling input on a handheld electronic device having a display, the method comprising: detecting a plurality of input key selections as an initial portion of an ambiguous input; outputting at a first location on the display the initial portion of an ambiguous input; identifying a plurality of prefix objects corresponding to the initial portion of the ambiguous input, each of the plurality of prefix objects associated with an initial portion of a language object being a proposed textual interpretation of the ambiguous input; outputting at a second location on the display the plurality of prefix objects; and upon selection of a prefix object, outputting at the first location on the display the prefix object, wherein the outputted prefix object differs from the initial portion of the ambiguous input. 2. The method of claim 1 , wherein the plurality of prefix objects is outputted in response to a preceding input member actuation, and a second plurality of prefix objects is outputted in response to a current input member actuation, wherein the second plurality of prefix objects includes at least one prefix object associated with the previously selected prefix object. | 0.5 |
8,655,889 | 11 | 12 | 11. A method, comprising: receiving a plurality of media objects that are captured by an electronic device during a trip session; clustering a plurality of photographs included in the plurality of media objects into a photograph cluster; associating a weight with the photograph cluster based on a number of photos associated with the photograph cluster; determining a place of interest that corresponds to the photograph cluster by comparing one or more first features depicted in the plurality of photographs to one or more second features depicted in known photographs of a plurality of candidate places of interest; auto-generating textual content for the photograph cluster, the auto-generated textual content based at least in part on one or more pre-stored knowledge items that include information about the place of interest; generating a paragraph metadata object for the photograph cluster, the paragraph metadata object including at least one of the plurality of photographs included in the plurality of media objects and the auto-generated textual content; calculating paragraph weights based at least in part on the paragraph metadata objects, the paragraph weights associated with and representing a relative importance of individual ones of the paragraph metadata object to a user of the electronic device; and publishing one of the paragraph metadata object including the at least one photograph and the auto-generated textual content as a blog entry for the place of interest that corresponds to the photograph cluster when the weight associated with the photograph cluster is greater than weights associated with other photograph clusters. | 11. A method, comprising: receiving a plurality of media objects that are captured by an electronic device during a trip session; clustering a plurality of photographs included in the plurality of media objects into a photograph cluster; associating a weight with the photograph cluster based on a number of photos associated with the photograph cluster; determining a place of interest that corresponds to the photograph cluster by comparing one or more first features depicted in the plurality of photographs to one or more second features depicted in known photographs of a plurality of candidate places of interest; auto-generating textual content for the photograph cluster, the auto-generated textual content based at least in part on one or more pre-stored knowledge items that include information about the place of interest; generating a paragraph metadata object for the photograph cluster, the paragraph metadata object including at least one of the plurality of photographs included in the plurality of media objects and the auto-generated textual content; calculating paragraph weights based at least in part on the paragraph metadata objects, the paragraph weights associated with and representing a relative importance of individual ones of the paragraph metadata object to a user of the electronic device; and publishing one of the paragraph metadata object including the at least one photograph and the auto-generated textual content as a blog entry for the place of interest that corresponds to the photograph cluster when the weight associated with the photograph cluster is greater than weights associated with other photograph clusters. 12. The method of claim 11 , further comprising: receiving an affection rating regarding the place of interest; selecting the one or more pre-stored knowledge items from a plurality of knowledge items based at least on the affection rating; and generating the textual content to include information in the one or more pre-stored knowledge items. | 0.636842 |
8,518,086 | 6 | 8 | 6. A spinal rod anchoring system comprising: a rod adapted to extend along a spine of a patient; and a first rod anchor adapted to be fixed to a vertebra of the spine, the first rod anchor comprising: a housing forming a receptacle portion having a substantially concave inner surface; and a sleeve having a passage receiving the rod such that the rod is secured against substantial lateral translation relative to the sleeve while being allowed to slide axially relative to the sleeve through a first pivot point, the sleeve having a substantially convex mating surface adapted to mate with the concave surface of the housing such that the sleeve is able to rotate to change in pitch and yaw relative to the housing while being substantially prevented from changing in roll relative to the housing. | 6. A spinal rod anchoring system comprising: a rod adapted to extend along a spine of a patient; and a first rod anchor adapted to be fixed to a vertebra of the spine, the first rod anchor comprising: a housing forming a receptacle portion having a substantially concave inner surface; and a sleeve having a passage receiving the rod such that the rod is secured against substantial lateral translation relative to the sleeve while being allowed to slide axially relative to the sleeve through a first pivot point, the sleeve having a substantially convex mating surface adapted to mate with the concave surface of the housing such that the sleeve is able to rotate to change in pitch and yaw relative to the housing while being substantially prevented from changing in roll relative to the housing. 8. The system of claim 6 , wherein the passage of the sleeve forms a chase and the rod forms a chase feature received in the chase such that the rod is substantially limited in roll relative to the sleeve. | 0.690332 |
8,391,618 | 13 | 19 | 13. A computer-implemented method, comprising: determining a plurality of semantic category scores for a digital image via application of a corresponding plurality of classifiers; and automatically determining a semantic category profile for the image based on the plurality of semantic category scores, wherein the semantic category profile characterizes semantic content of the image, and is useable to perform semantic based operations with respect to the image; analyzing a plurality of semantic categories with respect to a plurality of digital images based on one or more criteria, wherein the one or more criteria comprise at least one of: relevance of each of the semantic categories; consistency with human based classification; or accuracy of each of the semantic categories; and automatically performing: determining a subset of the semantic categories that efficiently spans the semantic content of the plurality of digital images based on said analyzing; or ranking the plurality of sets of semantic categories based on said analyzing. | 13. A computer-implemented method, comprising: determining a plurality of semantic category scores for a digital image via application of a corresponding plurality of classifiers; and automatically determining a semantic category profile for the image based on the plurality of semantic category scores, wherein the semantic category profile characterizes semantic content of the image, and is useable to perform semantic based operations with respect to the image; analyzing a plurality of semantic categories with respect to a plurality of digital images based on one or more criteria, wherein the one or more criteria comprise at least one of: relevance of each of the semantic categories; consistency with human based classification; or accuracy of each of the semantic categories; and automatically performing: determining a subset of the semantic categories that efficiently spans the semantic content of the plurality of digital images based on said analyzing; or ranking the plurality of sets of semantic categories based on said analyzing. 19. The method of claim 13 , wherein the digital image is comprised in the plurality of digital images, the method further comprising: automatically determining a respective value of a semantic similarity measure for each digital image of at least a subset of the plurality of digital images with respect to the first digital image based on the semantic category profile of the first digital image and semantic category profiles of each digital image of the at least a subset of the plurality of digital images, wherein each digital image of the at least a subset of the plurality of digital images has one or more respective keywords; and automatically determining one or more keywords from the respective keywords for association with the first digital image based on the values of the semantic similarity measure. | 0.555071 |
7,657,518 | 6 | 8 | 6. An apparatus for displaying search results, the apparatus comprising: a processor; a memory device operatively coupled to the processor; a user input device operatively coupled to the processor; a network device operatively coupled to the processor; and a display device operatively coupled to the processor; wherein the memory device stores a software program to cause the processor to: determine a user context based on a tunable parameter; determine a first aspect of the user context and a second aspect of the user context, wherein the first aspect of the user context includes data indicative of text being accessed by a user, and the second aspect of the user context includes data indicative of at least one user task from a plurality of user tasks, wherein the at least one user task is determined based upon the user context of the user's interaction with one or more software applications, formulate a first query based on the user context, the first query being different than the user context; submit the first query to a first search engine via the network device; receive a first plurality of search results from the first search engine via the network device; formulate a second query based on the first plurality of search results, the second query being different than the user context; submit the second query to a second search engine via the network device; receive a second plurality of search results from the second search engine via the network device; use the user context to determine a first plurality of scores for the first plurality of search results; use at least one of the user context and the first plurality of search results to determine a second plurality of scores; combine at least a portion of the first plurality of search results with at least a portion of the second plurality of search results based on at least a portion of the first plurality of scores and at least a portion of the second plurality of scores; eliminate at least one of the first and second search results from being displayed to the user based on at least one of the first and second plurality of scores; and display a ranked list of search results on the display device. | 6. An apparatus for displaying search results, the apparatus comprising: a processor; a memory device operatively coupled to the processor; a user input device operatively coupled to the processor; a network device operatively coupled to the processor; and a display device operatively coupled to the processor; wherein the memory device stores a software program to cause the processor to: determine a user context based on a tunable parameter; determine a first aspect of the user context and a second aspect of the user context, wherein the first aspect of the user context includes data indicative of text being accessed by a user, and the second aspect of the user context includes data indicative of at least one user task from a plurality of user tasks, wherein the at least one user task is determined based upon the user context of the user's interaction with one or more software applications, formulate a first query based on the user context, the first query being different than the user context; submit the first query to a first search engine via the network device; receive a first plurality of search results from the first search engine via the network device; formulate a second query based on the first plurality of search results, the second query being different than the user context; submit the second query to a second search engine via the network device; receive a second plurality of search results from the second search engine via the network device; use the user context to determine a first plurality of scores for the first plurality of search results; use at least one of the user context and the first plurality of search results to determine a second plurality of scores; combine at least a portion of the first plurality of search results with at least a portion of the second plurality of search results based on at least a portion of the first plurality of scores and at least a portion of the second plurality of scores; eliminate at least one of the first and second search results from being displayed to the user based on at least one of the first and second plurality of scores; and display a ranked list of search results on the display device. 8. The apparatus of claim 6 , wherein the software program is structured to cause the processor to: compare data indicative of the second plurality of search results to at least a portion of the user context to determine a plurality of organization schemes, the plurality of organization schemes grouping at least a portion of the second plurality of search results into at least two genres; and generate data indicative of an organized list of search results based on the plurality of organization schemes. | 0.816968 |
9,240,105 | 10 | 12 | 10. The method of claim 2 , wherein: the set of game parameters comprises a set of game play parameters comprising a selection limit integer, wherein the selection limit integer is greater than zero. | 10. The method of claim 2 , wherein: the set of game parameters comprises a set of game play parameters comprising a selection limit integer, wherein the selection limit integer is greater than zero. 12. The method of claim 10 , wherein: the set of game play parameters further comprising a reorder Boolean, wherein the reorder Boolean is true. | 0.950035 |
8,280,882 | 8 | 9 | 8. A system for an author-centric search, the system including a processor and memory, the system comprising: means for initializing a first data structure and a second data structure for each of a plurality of documented communications wherein each of the plurality documented communications has at least one author to which the respective documented communication is attributed; means for utilizing the first data structure and the second data structure to compute a relevancy score for each of the plurality of documented communications; means for determining a score for each author of at least one of the plurality of documented communications based in part on the relevancy score for each of the plurality of documented communications authored by each respective author; means for prompting a user to enter a search string; means for parsing the search string into one or more words; means for filling at least one memory space of the first data structure for each documented communication with data based on the occurrence of the one or more words in the documented communication; means for filling at least one memory space of the second data structure for each documented communication with a weighted value for an author of a given documented communication that signifies a statistical preference for the data in the corresponding memory space of the first data structure; and means for executing a mathematical function based on an aggregate of the data and the weighted value of the first and second data structures for each documented communication in order to compute the relevancy score for the documented communication; and means for displaying search results based at least in part upon a ranked listing of the score determined for each of the authors, wherein the weighted value for an author comprises a predefined value utilized to create the statistical preference for data in the corresponding memory space of the first data structure, the weighted value for the author being determined based on at least two of: a time of publication for the documented communication, a number of documented communications having the given author, a prestige of the documented communications, and a number of authors for the documented communication. | 8. A system for an author-centric search, the system including a processor and memory, the system comprising: means for initializing a first data structure and a second data structure for each of a plurality of documented communications wherein each of the plurality documented communications has at least one author to which the respective documented communication is attributed; means for utilizing the first data structure and the second data structure to compute a relevancy score for each of the plurality of documented communications; means for determining a score for each author of at least one of the plurality of documented communications based in part on the relevancy score for each of the plurality of documented communications authored by each respective author; means for prompting a user to enter a search string; means for parsing the search string into one or more words; means for filling at least one memory space of the first data structure for each documented communication with data based on the occurrence of the one or more words in the documented communication; means for filling at least one memory space of the second data structure for each documented communication with a weighted value for an author of a given documented communication that signifies a statistical preference for the data in the corresponding memory space of the first data structure; and means for executing a mathematical function based on an aggregate of the data and the weighted value of the first and second data structures for each documented communication in order to compute the relevancy score for the documented communication; and means for displaying search results based at least in part upon a ranked listing of the score determined for each of the authors, wherein the weighted value for an author comprises a predefined value utilized to create the statistical preference for data in the corresponding memory space of the first data structure, the weighted value for the author being determined based on at least two of: a time of publication for the documented communication, a number of documented communications having the given author, a prestige of the documented communications, and a number of authors for the documented communication. 9. The system of claim 8 , wherein the search result display component displays the search results as an ordered list of authors ranked based on the author score generated for each of the authors. | 0.731507 |
9,466,295 | 13 | 14 | 13. The natural language dialogue system as recited in claim 9 , wherein the natural language comprehension system arranges the report answers in the candidate list according to a plurality of priorities. | 13. The natural language dialogue system as recited in claim 9 , wherein the natural language comprehension system arranges the report answers in the candidate list according to a plurality of priorities. 14. The natural language dialogue system as recited in claim 13 , wherein the natural language comprehension system determines the priorities of the report answers according to a public usage habit. | 0.5 |
9,111,092 | 6 | 10 | 6. A processor-implemented method to execute on one or more processors that perform the method, comprising: receiving an indication that a context associated with a source of an event is malicious, wherein the context includes information about an environment surrounding an interaction between a corresponding event and one or more functions provided by an application at a point-in-time, and wherein the event is an action capable of being monitored and recorded within a computer; generating a context taint to identify the context as a tainted context that is malicious when the context has not been previously known to be malicious; transforming the event from an unmarked event to a tainted event by marking the unmarked event with the context taint; marking a prior unmarked context associated with the tainted event with the taint to create a prior tainted context, so as to propagate the taint from the tainted context to the prior tainted context, propagation of the taint being time-limited; marking any subsequent context linked to the prior tainted context by the tainted event or other events, as subsequent tainted contexts, so as to propagate the taint from the tainted context, to the prior tainted context, and then to the subsequent tainted contexts, propagation of the taint being time-limited; marking any other unmarked event emanating from the tainted context, the prior tainted context, or the subsequent tainted contexts as other tainted events with the taint; and publishing an event horizon to a display, the event horizon including the tainted event and all of the other tainted events. | 6. A processor-implemented method to execute on one or more processors that perform the method, comprising: receiving an indication that a context associated with a source of an event is malicious, wherein the context includes information about an environment surrounding an interaction between a corresponding event and one or more functions provided by an application at a point-in-time, and wherein the event is an action capable of being monitored and recorded within a computer; generating a context taint to identify the context as a tainted context that is malicious when the context has not been previously known to be malicious; transforming the event from an unmarked event to a tainted event by marking the unmarked event with the context taint; marking a prior unmarked context associated with the tainted event with the taint to create a prior tainted context, so as to propagate the taint from the tainted context to the prior tainted context, propagation of the taint being time-limited; marking any subsequent context linked to the prior tainted context by the tainted event or other events, as subsequent tainted contexts, so as to propagate the taint from the tainted context, to the prior tainted context, and then to the subsequent tainted contexts, propagation of the taint being time-limited; marking any other unmarked event emanating from the tainted context, the prior tainted context, or the subsequent tainted contexts as other tainted events with the taint; and publishing an event horizon to a display, the event horizon including the tainted event and all of the other tainted events. 10. The method of claim 6 , further comprising: creating the taint to include a universally unique identifier (UUID) value. | 0.790816 |
6,100,825 | 25 | 31 | 25. A compression method for compressing a plurality of data sets, each of the data sets containing a history context and a data set context, the method comprising: clustering similar history contexts from a data set to form a history context cluster; and clustering similar data set contexts into a data set context cluster which share the same history contexts clusters. | 25. A compression method for compressing a plurality of data sets, each of the data sets containing a history context and a data set context, the method comprising: clustering similar history contexts from a data set to form a history context cluster; and clustering similar data set contexts into a data set context cluster which share the same history contexts clusters. 31. The invention as set forth in claim 25, further comprising: varying the contents of each of the data set context cluster and the history context cluster so as to achieve a minimum total cost. | 0.505076 |
9,377,373 | 11 | 19 | 11. A computer-implemented method of processing dictation, the method comprising the steps of: introducing a plurality of verbal records to a system for analyzing verbal records to improve a textual transcript, the system comprising: a database capable of receiving a plurality of verbal records, each verbal record comprising at least one identifier and at least one phonetic feature, each of the at least one phonetic featuring comprising at least one first feature selected from the group consisting of a number of syllables, a syllable duration pause, duration and pitch value, or a combination thereof; and a processor operably coupled to the database, the processor having and executing a software program and operational to: identify a subset of the plurality of verbal records from the database; extract at least one phonetic feature from the subset of the plurality of verbal records; analyze the at least one phonetic feature of the subset of the plurality of verbal records; process the subset of the plurality of records using the analyzed feature according to at least one reasoning approach; further process the subset of the plurality of records using the at least one phonetic feature to determine a position of a punctuation feature in each verbal record in the subset of the plurality of verbal records and introduce the punctuation feature at the position, the punctuation feature being a comma; generate a processed verbal record using the processed subset of the plurality of records; deliver the processed verbal record to a recipient; modifying the identified subset of the plurality of verbal records with the system to create a modified verbal record, wherein the system uses the at least one analyzed phonetic feature and the at least one reasoning approach to generate the modified verbal record; and delivering the modified verbal record to the recipient. | 11. A computer-implemented method of processing dictation, the method comprising the steps of: introducing a plurality of verbal records to a system for analyzing verbal records to improve a textual transcript, the system comprising: a database capable of receiving a plurality of verbal records, each verbal record comprising at least one identifier and at least one phonetic feature, each of the at least one phonetic featuring comprising at least one first feature selected from the group consisting of a number of syllables, a syllable duration pause, duration and pitch value, or a combination thereof; and a processor operably coupled to the database, the processor having and executing a software program and operational to: identify a subset of the plurality of verbal records from the database; extract at least one phonetic feature from the subset of the plurality of verbal records; analyze the at least one phonetic feature of the subset of the plurality of verbal records; process the subset of the plurality of records using the analyzed feature according to at least one reasoning approach; further process the subset of the plurality of records using the at least one phonetic feature to determine a position of a punctuation feature in each verbal record in the subset of the plurality of verbal records and introduce the punctuation feature at the position, the punctuation feature being a comma; generate a processed verbal record using the processed subset of the plurality of records; deliver the processed verbal record to a recipient; modifying the identified subset of the plurality of verbal records with the system to create a modified verbal record, wherein the system uses the at least one analyzed phonetic feature and the at least one reasoning approach to generate the modified verbal record; and delivering the modified verbal record to the recipient. 19. The method of claim 11 , wherein the processor is further configured to process the subset of the plurality of records using the at least one first feature to determine a second position of a second punctuation feature in each verbal record in the subset of the plurality of verbal records and introduce the second punctuation feature at the second position, the second punctuation feature being a heading. | 0.5 |
8,768,913 | 11 | 12 | 11. The system of claim 7 , further comprising a form service executing in the application server, the form service updating data in the different fields of the single search index responsive to a data access operation directed in the form during the execution of the data driven application. | 11. The system of claim 7 , further comprising a form service executing in the application server, the form service updating data in the different fields of the single search index responsive to a data access operation directed in the form during the execution of the data driven application. 12. The system of claim 11 , wherein the form service updates corresponding data fields in the data sources subsequent to updating the single search index responsive to a data access operation directed in the form during the execution of the data driven application. | 0.5 |
8,566,154 | 39 | 41 | 39. A machine-readable medium storing instructions adapted to be executed by a processor to: receive a description of online activities for a collection of online identities for users accessing one or more affiliate web sites; identify a desired behavior, the desired behavior describing user interaction that indicates that an online identity demonstrating the desired behavior is more likely to be responsive to a re-targeted advertisement; analyze the description of online activities to determine whether a particular online identity appearing in the description of the online activities demonstrates the desired behavior; generate a watch list of users to receive advertisements based on analyzing the description of online activities; monitor, in real-time and from the one or more affiliate web sites, information related to user interaction with the one or more affiliate web sites; receive a request to display advertising content to a user; determine that the user appears in the watch list of users to receive re-targeted advertisements; and select, in response to the request, advertising content for display based upon determining that the user appears in the watch list of users to receive re-targeted advertisements. | 39. A machine-readable medium storing instructions adapted to be executed by a processor to: receive a description of online activities for a collection of online identities for users accessing one or more affiliate web sites; identify a desired behavior, the desired behavior describing user interaction that indicates that an online identity demonstrating the desired behavior is more likely to be responsive to a re-targeted advertisement; analyze the description of online activities to determine whether a particular online identity appearing in the description of the online activities demonstrates the desired behavior; generate a watch list of users to receive advertisements based on analyzing the description of online activities; monitor, in real-time and from the one or more affiliate web sites, information related to user interaction with the one or more affiliate web sites; receive a request to display advertising content to a user; determine that the user appears in the watch list of users to receive re-targeted advertisements; and select, in response to the request, advertising content for display based upon determining that the user appears in the watch list of users to receive re-targeted advertisements. 41. The medium according to claim 39 , wherein the description of online activities is an email message received from the Web site, the email message providing a list of prior activities of the user at the Web site. | 0.557613 |
8,239,473 | 10 | 11 | 10. A non-transitory computable readable medium comprising instructions for message security classification in a web e-mail access client which when executed a processor perform: opening a message form within a web client window of the web e-mail access client; receiving a user-generated event from the group consisting of send events, print events and save events; in response to said user-generated event, presenting the user with a popup dialog requiring the user to select a first security classification based upon predefined classification criteria available to the user for associating with the message form of the web e-mail access client; receiving a first security classification selection input from the user; assigning header properties to the message metadata associated properties based upon the security classification selection; determining whether a secondary classification is required based upon the first security classification input; receiving a secondary classification selection input from the secondary classification options selected by the user from the popup dialog; determining whether the security classification selection input and the secondary classification selection input are valid; and assigning x-header properties to the message metadata x-header properties are based upon the security classification selection input and secondary classification selection input when security classification selection input and secondary classification selection input are valid; wherein the security classification selection input associated with a portion of identified text within a text body of the message form and the x-header properties are assigned by association with the identified text in the text body of the message form. | 10. A non-transitory computable readable medium comprising instructions for message security classification in a web e-mail access client which when executed a processor perform: opening a message form within a web client window of the web e-mail access client; receiving a user-generated event from the group consisting of send events, print events and save events; in response to said user-generated event, presenting the user with a popup dialog requiring the user to select a first security classification based upon predefined classification criteria available to the user for associating with the message form of the web e-mail access client; receiving a first security classification selection input from the user; assigning header properties to the message metadata associated properties based upon the security classification selection; determining whether a secondary classification is required based upon the first security classification input; receiving a secondary classification selection input from the secondary classification options selected by the user from the popup dialog; determining whether the security classification selection input and the secondary classification selection input are valid; and assigning x-header properties to the message metadata x-header properties are based upon the security classification selection input and secondary classification selection input when security classification selection input and secondary classification selection input are valid; wherein the security classification selection input associated with a portion of identified text within a text body of the message form and the x-header properties are assigned by association with the identified text in the text body of the message form. 11. The non-transitory computable readable medium of claim 10 wherein the header properties are simple mail transfer protocol (SMTP) x-header properties. | 0.5 |
7,624,277 | 26 | 28 | 26. The method of claim 20 wherein performing an operation to the original image includes applying a thickness and thinning random algorithm to the character string, said algorithm altering the particular coloring of a segment of at least one character of the character string to vary line thickness of said portion of said at least one character. | 26. The method of claim 20 wherein performing an operation to the original image includes applying a thickness and thinning random algorithm to the character string, said algorithm altering the particular coloring of a segment of at least one character of the character string to vary line thickness of said portion of said at least one character. 28. The method of claim 26 wherein applying a thickness and thinning random algorithm comprises applying a localized warp field to the original image including the character string. | 0.526178 |
8,224,857 | 6 | 11 | 6. The method of claim 1 , further comprising the steps of: receiving a user request; associating the user request with at least one keyword; and creating the query from the at least one keyword. | 6. The method of claim 1 , further comprising the steps of: receiving a user request; associating the user request with at least one keyword; and creating the query from the at least one keyword. 11. The method of claim 6 , wherein the step of associating the user request further comprises the step of using a user specific taxonomy to associate the user request with the at least one keyword. | 0.589212 |
9,372,740 | 9 | 10 | 9. A non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable program code configured to: cause a mediator module to receive user session data from a mashup maker; and cause the mediator module to provide one or more services to the mashup maker in response to a determination that the one or more services are associated with the user session data based on one or more of a policy and a role, wherein the one or more services comprise one or more controlled services registered with the mediator module by one or more remote service providers, and wherein the controlled services are operating in a secure environment and are financial services; cause the mediator module to provide access to the one or more services during development of a mashup application; cause a component gateway module to provide one or more of policy based categorization of one or more controlled services and role based categorization of one or more controlled services; and cause the component gateway module to filter the one or more controlled services based on one or more of the policy based categorization and the role based categorization. | 9. A non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable program code configured to: cause a mediator module to receive user session data from a mashup maker; and cause the mediator module to provide one or more services to the mashup maker in response to a determination that the one or more services are associated with the user session data based on one or more of a policy and a role, wherein the one or more services comprise one or more controlled services registered with the mediator module by one or more remote service providers, and wherein the controlled services are operating in a secure environment and are financial services; cause the mediator module to provide access to the one or more services during development of a mashup application; cause a component gateway module to provide one or more of policy based categorization of one or more controlled services and role based categorization of one or more controlled services; and cause the component gateway module to filter the one or more controlled services based on one or more of the policy based categorization and the role based categorization. 10. The computer readable storage medium according to claim 9 , wherein the computer readable program code is further configured to cause a component gateway module to record usage details associated with the mashup maker using one or more uncontrolled services. | 0.5 |
7,552,381 | 2 | 7 | 2. The method defined in claim 1 wherein identifying the at least one document comprises: identifying a location on the image of at least one indication area having a mark therein, the at least one indication area being associated with the at least one document; and identifying the at least one document based on the location of the at least one indication area having the mark therein. | 2. The method defined in claim 1 wherein identifying the at least one document comprises: identifying a location on the image of at least one indication area having a mark therein, the at least one indication area being associated with the at least one document; and identifying the at least one document based on the location of the at least one indication area having the mark therein. 7. The method defined in claim 2 wherein the indication area is located on top of a portion of a graphic representing at least one document in a collection. | 0.879257 |
7,912,904 | 28 | 29 | 28. A computer program product stored in memory, the computer program product including programs for execution by a client computer system, the computer program product comprising: instructions for receiving a query from a requestor, the query having one or more query terms, and responding to receipt of the query, including: instructions for transmitting the query over a network from the client computer system to a conversation management system; instructions for receiving from the conversation management system a list of conversations that match the one or more query terms, each of the conversations in the list having a respective conversation identifier and at least one electronic message relevant to the query, and wherein each conversation comprises one or more messages sharing a common set of characteristics that meet first predefined criteria and at least one conversation of the generated list of conversations comprises two or more messages; and instructions for presenting at least a portion of the list of conversations to the requestor, each conversation listed in the presented portion of the list being represented as a single item, the presented portion of the list including a plurality of items, each representing a distinct conversation, at least one of which comprises a plurality of messages, wherein each item representing a conversation having a plurality of messages has an associated icon indicating the number of electronic messages in the conversation. | 28. A computer program product stored in memory, the computer program product including programs for execution by a client computer system, the computer program product comprising: instructions for receiving a query from a requestor, the query having one or more query terms, and responding to receipt of the query, including: instructions for transmitting the query over a network from the client computer system to a conversation management system; instructions for receiving from the conversation management system a list of conversations that match the one or more query terms, each of the conversations in the list having a respective conversation identifier and at least one electronic message relevant to the query, and wherein each conversation comprises one or more messages sharing a common set of characteristics that meet first predefined criteria and at least one conversation of the generated list of conversations comprises two or more messages; and instructions for presenting at least a portion of the list of conversations to the requestor, each conversation listed in the presented portion of the list being represented as a single item, the presented portion of the list including a plurality of items, each representing a distinct conversation, at least one of which comprises a plurality of messages, wherein each item representing a conversation having a plurality of messages has an associated icon indicating the number of electronic messages in the conversation. 29. The computer program product of claim 28 , wherein the single item for a respective conversation in the presented portion of the list of conversations is generated so as to include a text string having a highlighted instance of at least one of the one or more query terms. | 0.589286 |
8,997,042 | 2 | 16 | 2. The method of claim 1 wherein the source code is initially compiled from first code of a programming language; and wherein the aspect is separately initially compiled into from second intermediate code of the programming language. | 2. The method of claim 1 wherein the source code is initially compiled from first code of a programming language; and wherein the aspect is separately initially compiled into from second intermediate code of the programming language. 16. The method of claim 2 wherein the parameter is a value of a Boolean type, and the computing device comprises an interface for accepting a user input for changing the parameter to enable or disable execution of the advice executable code at run time. | 0.665344 |
9,569,080 | 1 | 8 | 1. A method comprising: receiving an invocation of a map interface on a mobile device, the map interface having a default language; obtaining a current location of the mobile device; obtaining one or more local languages associated with the current location; determining if the one or more local languages associated with the current location correspond to the default language; and based on determining that at least one of the local languages does not correspond to the default language, displaying the map interface including a language control that indicates two or more languages for presenting information on the map interface and that can be manipulated to present information on the map interface concurrently in the two or more languages, wherein an amount of information presented in each of the two or more languages is adjusted based on the manipulation of the language control. | 1. A method comprising: receiving an invocation of a map interface on a mobile device, the map interface having a default language; obtaining a current location of the mobile device; obtaining one or more local languages associated with the current location; determining if the one or more local languages associated with the current location correspond to the default language; and based on determining that at least one of the local languages does not correspond to the default language, displaying the map interface including a language control that indicates two or more languages for presenting information on the map interface and that can be manipulated to present information on the map interface concurrently in the two or more languages, wherein an amount of information presented in each of the two or more languages is adjusted based on the manipulation of the language control. 8. The method of claim 1 , further comprising: receiving search terms in a first language; performing a first search based on the search terms; presenting first search results on the map interface in the first language; receiving a selection of the language control; and in response to the selection, translating the search terms into a second language, performing a second search based on the translated search terms and presenting second search results on the map interface in the second language. | 0.5 |
9,111,173 | 9 | 11 | 9. A computer system for learning part-based object models from a set of digital representations of images, the system comprising: a non-transitory computer-readable storage medium storing executable computer program instructions; and a computer processor executing the computer program instructions to perform steps comprising: receiving a set of digital representations of images, each image having at least one object; and for each image: extracting one or more shape features from the image; extracting one or more appearance features from the image; generating one or more shape models of the object based on the shape features, a shape model corresponding to a part of the object, generating a shape model comprising: generating one or more histogram of oriented gradient (HOG) cells for a number of pixel of the image; and grouping two or more HOG cells into a HOG bundle based on similarity of orientations of the HOG cells with respect to the maximum magnitude of orientations of the HOG cells; computing an appearance model for each shape model of the object based on the appearance features; and selecting one or more shape models as reference shape models of the object; selecting one or more appearance models as reference appearance models of the object; and storing the reference shape models of the images; and storing the reference appearance models of the images. | 9. A computer system for learning part-based object models from a set of digital representations of images, the system comprising: a non-transitory computer-readable storage medium storing executable computer program instructions; and a computer processor executing the computer program instructions to perform steps comprising: receiving a set of digital representations of images, each image having at least one object; and for each image: extracting one or more shape features from the image; extracting one or more appearance features from the image; generating one or more shape models of the object based on the shape features, a shape model corresponding to a part of the object, generating a shape model comprising: generating one or more histogram of oriented gradient (HOG) cells for a number of pixel of the image; and grouping two or more HOG cells into a HOG bundle based on similarity of orientations of the HOG cells with respect to the maximum magnitude of orientations of the HOG cells; computing an appearance model for each shape model of the object based on the appearance features; and selecting one or more shape models as reference shape models of the object; selecting one or more appearance models as reference appearance models of the object; and storing the reference shape models of the images; and storing the reference appearance models of the images. 11. The system of claim 9 , wherein a HOG bundle is described by position of the bundle, orientation of the bundle, height and width of the bundle. | 0.877295 |
7,512,655 | 1 | 11 | 1. A system for structuring content within a message and transmitting the structured message over a computer network in a real time chat environment, the system comprising: a system administration computing system comprising: a system management program operative to provide a real time chat interface for enabling a plurality of users to communicate with one another in a plurality of different real time chat channels over the computer network, and a channel manager configured to allow an end user to manage the plurality of real time chat channels, wherein the channel manager configured to allow the end user to manage the plurality of real time chat channels comprises the channel manager being configured to allow the end user to: review the plurality of real time chat channels, create additional real time chat channels, and create a filtered channel, wherein the filtered channel comprises an aggregation of selected real time chat channels, the selected real time chat channels being selected by the end user according to at least one of the following: content associated with the plurality of real time chat channels, at least one user name associated with the plurality of real time chat channels, and previously stored criteria comprising at least one of the following: a specified content and at least one specified user name, wherein the previously stored criteria is used to monitor the plurality of real time chat channels and provide information associated with the stored criteria; and a second computing system having a network interface program for communicating with the real time chat interface, wherein the network interface program accepts message content comprising text and other content entered by one of the plurality of users, establishes the real time chat interface with the system management program, interacts with the system management program to structure the content within the message, and transmits the structured message over at least one of the channels of the computer network, wherein the system management program structures the message content in a specific format based on fields associated with the message content. | 1. A system for structuring content within a message and transmitting the structured message over a computer network in a real time chat environment, the system comprising: a system administration computing system comprising: a system management program operative to provide a real time chat interface for enabling a plurality of users to communicate with one another in a plurality of different real time chat channels over the computer network, and a channel manager configured to allow an end user to manage the plurality of real time chat channels, wherein the channel manager configured to allow the end user to manage the plurality of real time chat channels comprises the channel manager being configured to allow the end user to: review the plurality of real time chat channels, create additional real time chat channels, and create a filtered channel, wherein the filtered channel comprises an aggregation of selected real time chat channels, the selected real time chat channels being selected by the end user according to at least one of the following: content associated with the plurality of real time chat channels, at least one user name associated with the plurality of real time chat channels, and previously stored criteria comprising at least one of the following: a specified content and at least one specified user name, wherein the previously stored criteria is used to monitor the plurality of real time chat channels and provide information associated with the stored criteria; and a second computing system having a network interface program for communicating with the real time chat interface, wherein the network interface program accepts message content comprising text and other content entered by one of the plurality of users, establishes the real time chat interface with the system management program, interacts with the system management program to structure the content within the message, and transmits the structured message over at least one of the channels of the computer network, wherein the system management program structures the message content in a specific format based on fields associated with the message content. 11. The message content structuring and transmission system of claim 1 , wherein the at least one real time chat channel is a forum channel. | 0.722222 |
8,332,206 | 15 | 18 | 15. A non-transitory machine-readable medium comprising instructions stored therein, which when executed by a machine, cause the machine to perform operations comprising: receiving an input indicating a word selected by a user; determining a user's language; communicating the determined user's language to a definition server and a translation server; sending, simultaneously, a definition request for the word to the definition server along with sending a translation request for the word to the translation server, wherein the translation request includes an indication of the user's language; receiving a response to the definition request from the definition server, wherein the response to the definition request indicates whether there is at least one definition of the word in the user's language; receiving a response to the translation request from the translation server, wherein the response to the translation request indicates whether there is at least one translation of the word in the user's language, wherein the response to the definition request and the response to the translation request are received simultaneously; determining whether to provide the user with a definition or a translation of the word based on the responses from the definition server and the translation server, wherein the determination comprises: determining to provide the user with a definition of the word when the response to the definition request includes at least one definition of the word in the user's language; and determining to provide the user with the translation of the word when the response to the definition request indicates that there is no definition of the word in the user's language and the response to the translation request includes at least one translation of the word in the user's language; and displaying the definition or the translation of the word within a bubble on a display based on the determination of whether to provide the user with a definition or a translation of the word. | 15. A non-transitory machine-readable medium comprising instructions stored therein, which when executed by a machine, cause the machine to perform operations comprising: receiving an input indicating a word selected by a user; determining a user's language; communicating the determined user's language to a definition server and a translation server; sending, simultaneously, a definition request for the word to the definition server along with sending a translation request for the word to the translation server, wherein the translation request includes an indication of the user's language; receiving a response to the definition request from the definition server, wherein the response to the definition request indicates whether there is at least one definition of the word in the user's language; receiving a response to the translation request from the translation server, wherein the response to the translation request indicates whether there is at least one translation of the word in the user's language, wherein the response to the definition request and the response to the translation request are received simultaneously; determining whether to provide the user with a definition or a translation of the word based on the responses from the definition server and the translation server, wherein the determination comprises: determining to provide the user with a definition of the word when the response to the definition request includes at least one definition of the word in the user's language; and determining to provide the user with the translation of the word when the response to the definition request indicates that there is no definition of the word in the user's language and the response to the translation request includes at least one translation of the word in the user's language; and displaying the definition or the translation of the word within a bubble on a display based on the determination of whether to provide the user with a definition or a translation of the word. 18. The machine-readable medium of claim 15 , wherein the operations further comprise: receiving an input indicating another word within the bubble selected by the user; and displaying a definition or a translation of the other word on the display. | 0.569444 |
9,405,736 | 1 | 13 | 1. A method for processing a markup language file having one or more portions, the method comprising steps performed by a processor of: automatically downloading a first markup language file using the hypertext transfer protocol and referencing the first markup language file by its uniform resource location (URL) or by a name of a local file on a system on which a user is operating, the first markup language file including arbitrarily named tags; in response to an automatic determination that the step of downloading is complete, automatically parsing the first markup language file for one or more portions of the first markup language file; in response to an automatic determination that the step of parsing is complete, automatically storing each portion of the first markup language file into a directory structure containing one or more folders and one or more documents stored within the one or more folders, the directory structure complying with the structure of the first markup language file, wherein each of the one or more folders depends from the tag names in the markup language file; and in response to an automatic determination that the step of storing is complete, automatically modifying the content of one or more markup language documents. | 1. A method for processing a markup language file having one or more portions, the method comprising steps performed by a processor of: automatically downloading a first markup language file using the hypertext transfer protocol and referencing the first markup language file by its uniform resource location (URL) or by a name of a local file on a system on which a user is operating, the first markup language file including arbitrarily named tags; in response to an automatic determination that the step of downloading is complete, automatically parsing the first markup language file for one or more portions of the first markup language file; in response to an automatic determination that the step of parsing is complete, automatically storing each portion of the first markup language file into a directory structure containing one or more folders and one or more documents stored within the one or more folders, the directory structure complying with the structure of the first markup language file, wherein each of the one or more folders depends from the tag names in the markup language file; and in response to an automatic determination that the step of storing is complete, automatically modifying the content of one or more markup language documents. 13. The method of claim 1 , further comprising a step performed by the processor of automatically translating the content of at least one web page. | 0.727778 |
9,542,436 | 12 | 13 | 12. A method comprising using a computer to manage a lifecycle of a platform, including: populating associative memory with plurality of matrices pertaining to lifecycle information about the platform, each matrix including related entity values and attribute values; causing the associative memory to create correlations between each matrix relative to the other matrices; searching the correlations for lifecycle entity and attribute values to investigate a component of the platform; and displaying any highly correlated entity and attribute values that do not include the component under investigation but are highly correlated to the component under investigation; wherein the highly correlated entity is the entity with the highest value that corresponds to a number of times the entity is returned within a repetitive search executed by an entity analytic engine; and updating a plurality of information tools with reports based on other similar components that are either further ahead or behind in the lifecycle of the specified component. | 12. A method comprising using a computer to manage a lifecycle of a platform, including: populating associative memory with plurality of matrices pertaining to lifecycle information about the platform, each matrix including related entity values and attribute values; causing the associative memory to create correlations between each matrix relative to the other matrices; searching the correlations for lifecycle entity and attribute values to investigate a component of the platform; and displaying any highly correlated entity and attribute values that do not include the component under investigation but are highly correlated to the component under investigation; wherein the highly correlated entity is the entity with the highest value that corresponds to a number of times the entity is returned within a repetitive search executed by an entity analytic engine; and updating a plurality of information tools with reports based on other similar components that are either further ahead or behind in the lifecycle of the specified component. 13. The method of claim 12 , wherein managing the lifecycle further includes populating the associative memory with a plurality of matrices pertaining to platform non-conformances. | 0.603524 |
7,996,396 | 18 | 24 | 18. A computer-readable storage medium whose contents cause at least one computing system to perform a method for scoring the relevance of documents to terms, the method comprising: under control of the at least one computer system configured with executable instructions, initializing a first set of rating scores for combinations of a plurality of documents with a plurality of query terms included in a plurality of queries, each rating score of the first set of rating scores reflecting a first determined level of relevance of one of the plurality of documents to one of the plurality of˜terms, the plurality of documents being returned in response to the plurality of queries; initializing a second set of rating scores for combinations of the plurality of documents with a plurality of terms not included in the query terms, the plurality of terms being associated with the plurality of documents, each rating score of the second set of rating scores reflecting a second determined level of relevance of one of the plurality of documents to one of the plurality of terms; observing interaction of a plurality of users with respect to a selected document of the plurality of documents during a rating period to detect any of a type of content interaction, each of the type of content interaction being performed by a user with respect to the selected document when included in a result set generated in response to a query comprising one or more query terms from the plurality of query terms, the type of content interaction comprising highlighting content of the document and annotating content of the selected document; and in response to detecting each of the type of content interaction performed by any of the plurality of users, adjusting a rating score of the first set of rating scores for at least one combination of the selected document with respect to which the action was performed and a term among the one or more query terms, the rating score being adjusted by an amount based at least in part upon the detected content interaction, the adjustment to the rating score being configured to be positive based at least in part on the detected content interaction, each adjustment to the rating score corresponding to an inferred relevance of the selected document to the query term; and adjusting a rating score for at least one combination of the selected document with respect to which the action was performed and one of the plurality of terms not included in the query terms and associated with the selected document, the rating score being adjusted by an amount based at least in part upon the detected content interaction, the adjustment to the rating score being configured to be positive based at least in part on the detected content interaction, each adjustment to the rating score corresponding to an inferred relevance of the selected document to the one of the plurality of terms; for each of a plurality of documents included in a distinguished result set produced in response to a distinguished query comprising a set of distinguished query terms, at least: selecting ratings for each combination of the document and a query term among the distinguished set of query terms, and determining a ranking score for the document in the distinguished result set by combining the selected ratings. | 18. A computer-readable storage medium whose contents cause at least one computing system to perform a method for scoring the relevance of documents to terms, the method comprising: under control of the at least one computer system configured with executable instructions, initializing a first set of rating scores for combinations of a plurality of documents with a plurality of query terms included in a plurality of queries, each rating score of the first set of rating scores reflecting a first determined level of relevance of one of the plurality of documents to one of the plurality of˜terms, the plurality of documents being returned in response to the plurality of queries; initializing a second set of rating scores for combinations of the plurality of documents with a plurality of terms not included in the query terms, the plurality of terms being associated with the plurality of documents, each rating score of the second set of rating scores reflecting a second determined level of relevance of one of the plurality of documents to one of the plurality of terms; observing interaction of a plurality of users with respect to a selected document of the plurality of documents during a rating period to detect any of a type of content interaction, each of the type of content interaction being performed by a user with respect to the selected document when included in a result set generated in response to a query comprising one or more query terms from the plurality of query terms, the type of content interaction comprising highlighting content of the document and annotating content of the selected document; and in response to detecting each of the type of content interaction performed by any of the plurality of users, adjusting a rating score of the first set of rating scores for at least one combination of the selected document with respect to which the action was performed and a term among the one or more query terms, the rating score being adjusted by an amount based at least in part upon the detected content interaction, the adjustment to the rating score being configured to be positive based at least in part on the detected content interaction, each adjustment to the rating score corresponding to an inferred relevance of the selected document to the query term; and adjusting a rating score for at least one combination of the selected document with respect to which the action was performed and one of the plurality of terms not included in the query terms and associated with the selected document, the rating score being adjusted by an amount based at least in part upon the detected content interaction, the adjustment to the rating score being configured to be positive based at least in part on the detected content interaction, each adjustment to the rating score corresponding to an inferred relevance of the selected document to the one of the plurality of terms; for each of a plurality of documents included in a distinguished result set produced in response to a distinguished query comprising a set of distinguished query terms, at least: selecting ratings for each combination of the document and a query term among the distinguished set of query terms, and determining a ranking score for the document in the distinguished result set by combining the selected ratings. 24. The computer-readable storage medium of claim 18 wherein the type of content interaction further comprises securely posting form contents from within the document. | 0.811512 |
7,831,625 | 1 | 11 | 1. A computer-implemented method for storing a common language application framework in order to produce a queriable representation of the common language application framework, the method comprising: maintaining a schema in computer memory corresponding to the application framework; maintaining a database structure in computer memory corresponding to the schema; storing information within the database structure corresponding to at least some portion of the application framework, including storing the name of a first type in the application framework, the first type being part of a hierarchy that includes a first and a second namespace, wherein the second namespace is a child of the first namespace, and wherein the first type is a child of the second namespace; storing information within the database structure corresponding to an abstraction of the hierarchy of the first type such that the name of the first type is associated with an identifier of only the first namespace as well as an identifier of a combination of the first and the second namespace; receiving a query for types of the first namespace of the application framework; and using the abstraction of the hierarchy of the first type to return the first type as a type that is included in the hierarchy of the first namespace. | 1. A computer-implemented method for storing a common language application framework in order to produce a queriable representation of the common language application framework, the method comprising: maintaining a schema in computer memory corresponding to the application framework; maintaining a database structure in computer memory corresponding to the schema; storing information within the database structure corresponding to at least some portion of the application framework, including storing the name of a first type in the application framework, the first type being part of a hierarchy that includes a first and a second namespace, wherein the second namespace is a child of the first namespace, and wherein the first type is a child of the second namespace; storing information within the database structure corresponding to an abstraction of the hierarchy of the first type such that the name of the first type is associated with an identifier of only the first namespace as well as an identifier of a combination of the first and the second namespace; receiving a query for types of the first namespace of the application framework; and using the abstraction of the hierarchy of the first type to return the first type as a type that is included in the hierarchy of the first namespace. 11. The method of claim 1 further comprising: representing the first type within the schema using a post-relational structure; and storing information corresponding to the first type within the post-relational structure, such that the information corresponding to the first type is stored within a column of a relevant repository item. | 0.563802 |
9,298,675 | 1 | 4 | 1. A method performed by a document conversion application for importing a document into an electronic document system, the document conversion application executed by a computing device comprising a processor, the method comprising: analyzing, via the processor, in an input data stream representing a document in a first document format, document formatting to determine a plurality of inline styles applied to text of said document using inline style formatting; adding, via the processor, each of the detected inline styles to a styles data structure stored in a memory accessible to the document conversion application; converting, via the processor, the input data stream into an output data stream representing the document in a second document format; analyzing, via the processor, the styles data structure to identify each instance of a particular inline style and match the inline styles that occur together in the document into a plurality of groupings of inline styles that are commonly applied to different portions of the text, wherein the plurality of groupings of inline styles correspond to formatting patterns applied to the different portions of the text; determining, via the processor, that a first subset of the groupings of inline styles designates major headings within the document and a second subset of the groupings of inline styles designates sub-headings within the document; inserting breakpoints into said output data stream, via the processor, according to a breaking protocol, wherein the breaking protocol specifies that each breakpoint is inserted into the output data stream at a location prior to an occurrence of a major heading within a particular segment of the document, or, if no major heading occurs within the segment, prior to a sub-heading, wherein insertion of said breakpoints divides said document into a plurality of discrete sub-documents each in said second document format; and after insertion of said breakpoints, storing, via the processor, the output data stream in a storage device. | 1. A method performed by a document conversion application for importing a document into an electronic document system, the document conversion application executed by a computing device comprising a processor, the method comprising: analyzing, via the processor, in an input data stream representing a document in a first document format, document formatting to determine a plurality of inline styles applied to text of said document using inline style formatting; adding, via the processor, each of the detected inline styles to a styles data structure stored in a memory accessible to the document conversion application; converting, via the processor, the input data stream into an output data stream representing the document in a second document format; analyzing, via the processor, the styles data structure to identify each instance of a particular inline style and match the inline styles that occur together in the document into a plurality of groupings of inline styles that are commonly applied to different portions of the text, wherein the plurality of groupings of inline styles correspond to formatting patterns applied to the different portions of the text; determining, via the processor, that a first subset of the groupings of inline styles designates major headings within the document and a second subset of the groupings of inline styles designates sub-headings within the document; inserting breakpoints into said output data stream, via the processor, according to a breaking protocol, wherein the breaking protocol specifies that each breakpoint is inserted into the output data stream at a location prior to an occurrence of a major heading within a particular segment of the document, or, if no major heading occurs within the segment, prior to a sub-heading, wherein insertion of said breakpoints divides said document into a plurality of discrete sub-documents each in said second document format; and after insertion of said breakpoints, storing, via the processor, the output data stream in a storage device. 4. The method of claim 1 wherein said first document format comprises one of: simple text (TXT); MS WORD™ DOC; WORDPERFECT™ WPD; rich text format (RTF); portable document format (PDF); small web file (SWF); FLASHPAPER™; hypertext markup language (HTML); FRAMEMAKER™; and extensible markup language (XML). | 0.795699 |
9,087,332 | 5 | 6 | 5. An advertising server, comprising at least one processor and processor-readable storage medium, wherein the storage medium comprise a set of instructions for adaptive display of an advertisement to look-alike users using a desired user profile dataset, and wherein when executing the set of instructions, the processor is directed to: obtain a plurality of known user profiles of known users who have been recorded to interact with an advertiser, wherein each of the plurality of known user profiles includes: historical components reflecting a stream of events of the known user prior to a current time, and a temporary component reflecting a state of the known user at the current time; automatically create a plurality of desired user profiles of desired users who are not included in the plurality of known user profiles, wherein each of the plurality of the desired user profiles includes: historical components reflecting a stream of events of the desired user prior to the current time, and a temporary component reflecting a state of the desired user at the current time; score through a machine-learned model similarities between the plurality of desired user profiles with the plurality of known user profiles based on the temporal component of the plurality of known user profile and the temporal component of the plurality of desired user profile for adapting to changes of user behavior; select, by a computer, a predicted user from the desired users based on the score of the plurality of desired user profile and; and serve an advertisement to the predicted user. | 5. An advertising server, comprising at least one processor and processor-readable storage medium, wherein the storage medium comprise a set of instructions for adaptive display of an advertisement to look-alike users using a desired user profile dataset, and wherein when executing the set of instructions, the processor is directed to: obtain a plurality of known user profiles of known users who have been recorded to interact with an advertiser, wherein each of the plurality of known user profiles includes: historical components reflecting a stream of events of the known user prior to a current time, and a temporary component reflecting a state of the known user at the current time; automatically create a plurality of desired user profiles of desired users who are not included in the plurality of known user profiles, wherein each of the plurality of the desired user profiles includes: historical components reflecting a stream of events of the desired user prior to the current time, and a temporary component reflecting a state of the desired user at the current time; score through a machine-learned model similarities between the plurality of desired user profiles with the plurality of known user profiles based on the temporal component of the plurality of known user profile and the temporal component of the plurality of desired user profile for adapting to changes of user behavior; select, by a computer, a predicted user from the desired users based on the score of the plurality of desired user profile and; and serve an advertisement to the predicted user. 6. The advertising server of claim 5 , wherein the similarity between a desired user and a known user comprises a similarity between a current component of the desired user and a current component of the known user. | 0.506881 |
9,236,051 | 1 | 7 | 1. A method comprising: receiving private data, the private data (1) comprising private time-sensitive data associated with activities of a user, and (2) being stored in a computer system; generating an alphanumeric word using the private data; prompting the user to speak the alpha-numeric word; extracting a voice feature from a received phrase in response to the prompting; comparing, via a processor, the voice feature with a voice profile, to yield a comparison; and determining whether to accept a speaker identity based on the comparison. | 1. A method comprising: receiving private data, the private data (1) comprising private time-sensitive data associated with activities of a user, and (2) being stored in a computer system; generating an alphanumeric word using the private data; prompting the user to speak the alpha-numeric word; extracting a voice feature from a received phrase in response to the prompting; comparing, via a processor, the voice feature with a voice profile, to yield a comparison; and determining whether to accept a speaker identity based on the comparison. 7. The method of claim 1 , wherein determining whether to accept the speaker identity comprises: rejecting the speaker identity when a score based on the comparison of the voice feature with the voice profile indicates a low confidence level. | 0.5 |
7,698,266 | 14 | 15 | 14. A system, comprising: one or more computers; and a storage device coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: organizing advertisements according to their meaning into a lexicon, the lexicon defining elements of a semantic space and represented by a network of interconnected meanings; receiving an input term; identifying a first point in the semantic space associated with the input term based on an interpretation of potential meanings of the input term; determining a first semantic sub-space that includes all of the elements of the semantic space within a predetermined radius of the first point; identifying, in the first semantic sub-space, an advertisement proximate in semantic distance to the input term, wherein the semantic distance identifies how closely related the advertisement is to the input term; and providing the advertisement in response to the input term. | 14. A system, comprising: one or more computers; and a storage device coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: organizing advertisements according to their meaning into a lexicon, the lexicon defining elements of a semantic space and represented by a network of interconnected meanings; receiving an input term; identifying a first point in the semantic space associated with the input term based on an interpretation of potential meanings of the input term; determining a first semantic sub-space that includes all of the elements of the semantic space within a predetermined radius of the first point; identifying, in the first semantic sub-space, an advertisement proximate in semantic distance to the input term, wherein the semantic distance identifies how closely related the advertisement is to the input term; and providing the advertisement in response to the input term. 15. The system of claim 14 , wherein the operations further comprise: receiving an indication of a particular meaning; identifying a second point in the semantic space associated with particular meaning; determining a second semantic sub-space that includes all of the elements of the semantic space within the predetermined radius of the second point; identifying one or more advertisements in the second semantic sub-space; and providing the one or more advertisements in response to the input term. | 0.5 |
9,031,967 | 1 | 2 | 1. A method for mapping automotive data, comprising: at a server computer implementing a natural language processing system, determining whether a source string is present in a target string, wherein the source string and the target string represent text strings each comprising a sequence of characters that identify a vehicle characteristic, wherein the source string is from a first source communicatively connected to the server computer over a first network connection, wherein the target string is from a second source communicatively connected to the server computer over a second network connection, and wherein the first source and the second source employ different naming conventions for automotive data collected thereby; if the source string is present in the target string, outputting a match containing the source string and the target string; and if the source string is not present in the target string, computing a similarity factor based at least on a first set of parameters, wherein the first set of parameters comprises a Levenshtein edit distance parameter based on a comparison of characters in the source string and the target string, a single-word matches parameter based on a comparison of words in the source string and the target string, and a multi-word matches parameter based on a comparison of successive words in the source string and the target string, the similarity factor representing a measure of similarity between the source string and the target string; wherein the step of determining whether the source string is present in the target string further comprises: determining if an automotive base term that matches the source string is present in an automotive lexicon; utilizing the automotive base term to create a set of strings that includes one or more terms in the automotive lexicon; and comparing each string in the set of strings with the target string; utilizing the match to find from the first source, the second source, or both, pricing information associated with multiple vehicles having a user-selected trim; wherein the pricing information comprises at least one trade-in price, at least one sale price, at least one list price, or a combination thereof; wherein utilizing the match to find pricing information associated with the vehicles having the user-selected trim comprises aggregating sales information from the first and second sources according to the source string, and determining a value of the vehicles having the user-selected trim based on the aggregated sales information; wherein at least a portion of the sales information is aggregated in real time in response to a user selecting the vehicles having the user-selected trim; and wherein the determined value of the vehicles having the user-selected trim is presented to the user and is dynamically updated to reflect at least the portion of the sales information aggregated in real time. | 1. A method for mapping automotive data, comprising: at a server computer implementing a natural language processing system, determining whether a source string is present in a target string, wherein the source string and the target string represent text strings each comprising a sequence of characters that identify a vehicle characteristic, wherein the source string is from a first source communicatively connected to the server computer over a first network connection, wherein the target string is from a second source communicatively connected to the server computer over a second network connection, and wherein the first source and the second source employ different naming conventions for automotive data collected thereby; if the source string is present in the target string, outputting a match containing the source string and the target string; and if the source string is not present in the target string, computing a similarity factor based at least on a first set of parameters, wherein the first set of parameters comprises a Levenshtein edit distance parameter based on a comparison of characters in the source string and the target string, a single-word matches parameter based on a comparison of words in the source string and the target string, and a multi-word matches parameter based on a comparison of successive words in the source string and the target string, the similarity factor representing a measure of similarity between the source string and the target string; wherein the step of determining whether the source string is present in the target string further comprises: determining if an automotive base term that matches the source string is present in an automotive lexicon; utilizing the automotive base term to create a set of strings that includes one or more terms in the automotive lexicon; and comparing each string in the set of strings with the target string; utilizing the match to find from the first source, the second source, or both, pricing information associated with multiple vehicles having a user-selected trim; wherein the pricing information comprises at least one trade-in price, at least one sale price, at least one list price, or a combination thereof; wherein utilizing the match to find pricing information associated with the vehicles having the user-selected trim comprises aggregating sales information from the first and second sources according to the source string, and determining a value of the vehicles having the user-selected trim based on the aggregated sales information; wherein at least a portion of the sales information is aggregated in real time in response to a user selecting the vehicles having the user-selected trim; and wherein the determined value of the vehicles having the user-selected trim is presented to the user and is dynamically updated to reflect at least the portion of the sales information aggregated in real time. 2. The method of claim 1 , wherein none of the strings in the set of strings is present in the target string, wherein the target string is one of a set of target strings from the second source, and wherein the similarity factor is computed for each string in the set of strings relative to each string of the set of target strings. | 0.660861 |
8,200,793 | 1 | 2 | 1. A method comprising: embedding a control mark within an electronic document created by a document word processor, wherein the control mark remains embedded in the electronic document after changing a body of the electronic document with the document word processor; wherein the control mark cannot be changed by or removed with the document word processor; and wherein the control mark includes an encrypted check sum configured to self-authenticate or self-validate the electronic document; detecting at least one packet containing the electronic document transmitted over a network; making a determination that the electronic document has been changed in response to detecting the control mark in the electronic document contained in the at least one packet; and blocking access to the electronic document in response to the determination. | 1. A method comprising: embedding a control mark within an electronic document created by a document word processor, wherein the control mark remains embedded in the electronic document after changing a body of the electronic document with the document word processor; wherein the control mark cannot be changed by or removed with the document word processor; and wherein the control mark includes an encrypted check sum configured to self-authenticate or self-validate the electronic document; detecting at least one packet containing the electronic document transmitted over a network; making a determination that the electronic document has been changed in response to detecting the control mark in the electronic document contained in the at least one packet; and blocking access to the electronic document in response to the determination. 2. The method of claim 1 further comprising logging an audit record in response to detecting the at least one network packet containing the electronic document, wherein the audit record is configured to identify a distribution route of the electronic document. | 0.5 |
10,049,097 | 11 | 12 | 11. A method for creating an editable and searchable document, comprising: receiving a document for scanning by a user, the document includes text; creating a scanned image of the document; converting the scanned image into a binary image; creating one or more text groups using a morphological dilation operation, wherein the operation comprises: dilating the binary image using a horizontal structuring element for merging one or more nearby adjacent text information along a horizontal axis; and dilating the horizontally dilated image with a vertical structuring element for merging one or more nearby adjacent text information along a vertical axis; creating an OCR (Optical Character Recognition) layer for each text group; combining the one or more OCR layers for the one or more text groups; and combining the combined OCR layers and scanned image to create the editable and searchable document, facilitating selection of a portion of text by the user. | 11. A method for creating an editable and searchable document, comprising: receiving a document for scanning by a user, the document includes text; creating a scanned image of the document; converting the scanned image into a binary image; creating one or more text groups using a morphological dilation operation, wherein the operation comprises: dilating the binary image using a horizontal structuring element for merging one or more nearby adjacent text information along a horizontal axis; and dilating the horizontally dilated image with a vertical structuring element for merging one or more nearby adjacent text information along a vertical axis; creating an OCR (Optical Character Recognition) layer for each text group; combining the one or more OCR layers for the one or more text groups; and combining the combined OCR layers and scanned image to create the editable and searchable document, facilitating selection of a portion of text by the user. 12. The method as claimed in claim 11 , wherein the text in the document is arranged in the form of one or more columns and one or more rows. | 0.711066 |
9,300,986 | 1 | 6 | 1. A method comprising: communicating with a plurality of content provider systems to import media productions from each content provider system; creating a respective normalized media document representing each of the media productions that are imported; identifying a potential match between at least three media productions, wherein at least two media productions of the three media productions are identified as instances of a same content provided by different content provider systems, and wherein at least one media production of the three media productions is identified as not being an instance of the at least two media productions, but is identified as being related to the at least two media productions; maintaining a mapping table comprising a plurality of entries, wherein each entry is configured to identify a potential match between at least two media productions and a score that represents a level of confidence in said potential match; creating a canonical object that corresponds to the at least three media productions, wherein the canonical object identifies each of the three media productions; maintaining a canonical object table comprising a plurality of entries, wherein each entry is configured to identify a canonical object; and maintaining a canonical version table configured to identify multiple instances of a media production. | 1. A method comprising: communicating with a plurality of content provider systems to import media productions from each content provider system; creating a respective normalized media document representing each of the media productions that are imported; identifying a potential match between at least three media productions, wherein at least two media productions of the three media productions are identified as instances of a same content provided by different content provider systems, and wherein at least one media production of the three media productions is identified as not being an instance of the at least two media productions, but is identified as being related to the at least two media productions; maintaining a mapping table comprising a plurality of entries, wherein each entry is configured to identify a potential match between at least two media productions and a score that represents a level of confidence in said potential match; creating a canonical object that corresponds to the at least three media productions, wherein the canonical object identifies each of the three media productions; maintaining a canonical object table comprising a plurality of entries, wherein each entry is configured to identify a canonical object; and maintaining a canonical version table configured to identify multiple instances of a media production. 6. The method of claim 1 , wherein a first media production of the at least three media productions is a first instance of a given movie, television program or video from a first content provider system, and wherein a second media production of the at least three media productions is a second instance of the movie, television program or video from a second content provider system that is different from the first content provider system. | 0.5 |
8,938,408 | 11 | 17 | 11. A system for performing search, the system comprising: a processor configured to: receive at least a portion of browsing log of a user, the browsing log comprising at least a plurality of web pages viewed by the user; extract one or more web page features from the browsing log, wherein the features include at least web address features of the web pages viewed by the user; generate one or more web page classifiers based on the extracted features of the browsing log, wherein different classifiers are related to different search goals of the user, and wherein generating the one or more classifiers includes performing a pairwise classification of at least web address features of the browsing log; segment the browsing log using the one or more classifiers into a plurality of separate logical browsing sessions related to different search goals of the user, wherein segmenting the browsing log includes analyzing at least one or more pairs of web pages viewed by the user and determining a probability of whether each of the web address features in each pair relate to a same or different search goal of the user; and perform an Internet search based at least in part on a search query of the user and information about one of the logical browsing sessions. | 11. A system for performing search, the system comprising: a processor configured to: receive at least a portion of browsing log of a user, the browsing log comprising at least a plurality of web pages viewed by the user; extract one or more web page features from the browsing log, wherein the features include at least web address features of the web pages viewed by the user; generate one or more web page classifiers based on the extracted features of the browsing log, wherein different classifiers are related to different search goals of the user, and wherein generating the one or more classifiers includes performing a pairwise classification of at least web address features of the browsing log; segment the browsing log using the one or more classifiers into a plurality of separate logical browsing sessions related to different search goals of the user, wherein segmenting the browsing log includes analyzing at least one or more pairs of web pages viewed by the user and determining a probability of whether each of the web address features in each pair relate to a same or different search goal of the user; and perform an Internet search based at least in part on a search query of the user and information about one of the logical browsing sessions. 17. The system of claim 11 , wherein the features further include textual features that are generated by determining a similarity of text between search queries or between the web pages visited based on one or more of a cosine of distance between term vectors of titles and a ratio of common words to lengths of each page. | 0.745253 |
8,734,158 | 7 | 11 | 7. A method of teaching a person to do basic math operations comprised of teaching the person to manipulate a plurality of unique geometric shapes; each unique geometric shape having a specific value ranging 1-10, wherein the unique geometric shape having a value of 10 is formed by manipulating any combination of unique geometric shapes that when their specific values are added together equals the value of 10; wherein the plurality of geometric shapes are comprised of physical, written or digitized substrates, and wherein teaching the person to manipulate a plurality of unique geometric shapes is comprised of teaching the person to manipulate small triangles with a value of 1 forming larger unique geometric shapes, each larger unique geometric shape representing a specific value from 2 to 10; wherein a large square having a value of 10 is comprised by manipulating any combination of unique geometric shapes that when their specific values are added together equals the value of 10. | 7. A method of teaching a person to do basic math operations comprised of teaching the person to manipulate a plurality of unique geometric shapes; each unique geometric shape having a specific value ranging 1-10, wherein the unique geometric shape having a value of 10 is formed by manipulating any combination of unique geometric shapes that when their specific values are added together equals the value of 10; wherein the plurality of geometric shapes are comprised of physical, written or digitized substrates, and wherein teaching the person to manipulate a plurality of unique geometric shapes is comprised of teaching the person to manipulate small triangles with a value of 1 forming larger unique geometric shapes, each larger unique geometric shape representing a specific value from 2 to 10; wherein a large square having a value of 10 is comprised by manipulating any combination of unique geometric shapes that when their specific values are added together equals the value of 10. 11. The method of claim 7 , wherein the basic math operations are performed using fractions. | 0.768844 |
7,716,202 | 1 | 2 | 1. A computer-implemented method of determining search results related to a search query, the method comprising: receiving a search query from a computer via a computer network; submitting the search query to a plurality of search engines; receiving, from the plurality of search engines, at least one ranked list of search results based on the search query, the at least one ranked list of search results including a first ranked list of search results received from a first search engine of the plurality of search engines, wherein the first ranked list is without actual relevance values supplied by the first search engine; providing an estimated relevance value for each search result in the first ranked list by: determining an estimated relevance value for a most relevant search result of the first ranked list; determining an estimated relevance value for a less relevant search result of the first ranked list; and determining other estimated relevance values for the search results in the first ranked list based on the estimated relevance value for the most relevant search result and the estimated relevance value for the less relevant search result; determining, for each of the plurality of search engines, a weighting value; determining a weighted relevance value for each search result based on the estimated relevance value when an actual relevance value was not received for the search result from one of the plurality of search engines, the actual relevance value of the search result when the actual relevance value was received for the search result, and the weighting value associated with the search engine that provided the search result; combining the search results into a single list; sorting the search results in the single list based on the weighted relevance values; and sending at least a portion of the single list to the computer via the computer network for display to a user. | 1. A computer-implemented method of determining search results related to a search query, the method comprising: receiving a search query from a computer via a computer network; submitting the search query to a plurality of search engines; receiving, from the plurality of search engines, at least one ranked list of search results based on the search query, the at least one ranked list of search results including a first ranked list of search results received from a first search engine of the plurality of search engines, wherein the first ranked list is without actual relevance values supplied by the first search engine; providing an estimated relevance value for each search result in the first ranked list by: determining an estimated relevance value for a most relevant search result of the first ranked list; determining an estimated relevance value for a less relevant search result of the first ranked list; and determining other estimated relevance values for the search results in the first ranked list based on the estimated relevance value for the most relevant search result and the estimated relevance value for the less relevant search result; determining, for each of the plurality of search engines, a weighting value; determining a weighted relevance value for each search result based on the estimated relevance value when an actual relevance value was not received for the search result from one of the plurality of search engines, the actual relevance value of the search result when the actual relevance value was received for the search result, and the weighting value associated with the search engine that provided the search result; combining the search results into a single list; sorting the search results in the single list based on the weighted relevance values; and sending at least a portion of the single list to the computer via the computer network for display to a user. 2. The method of claim 1 , wherein the actual relevance values comprise normalized, search-engine-supplied relevance values. | 0.920918 |
8,700,653 | 8 | 9 | 8. The method of claim 7 , wherein the indication is a highlight of the subsequent query suggestion that visually distinguishes the subsequent query suggestion from the other query suggestions. | 8. The method of claim 7 , wherein the indication is a highlight of the subsequent query suggestion that visually distinguishes the subsequent query suggestion from the other query suggestions. 9. The method of claim 8 , wherein the indication is an automatic completion of a query input in the query input field to the subsequent query suggestion for which the first search results are responsive, the automatic completion including differentiated text appended to the query input in the query input field, the differentiated text indicating the query input in the query input field as a stem of the subsequent query suggestion. | 0.5 |
9,697,648 | 1 | 7 | 1. A system for implementing text functions in augmented reality, the system comprising: a display to display a field of view to a user of the system; a gesture detection module to detect a selection gesture performed by a user of the system, the selection gesture defining a selection area in the field of view; a camera array to capture an image of the selection area; a text module to perform a text operation on text identified in the image by: identifying a portion from the text identified in the image; and copying the portion from the text identified in the image to a memory buffer, the memory buffer used for copy and paste operations; and a presentation module to present an indication of the text operation to the user including a notification to the user. | 1. A system for implementing text functions in augmented reality, the system comprising: a display to display a field of view to a user of the system; a gesture detection module to detect a selection gesture performed by a user of the system, the selection gesture defining a selection area in the field of view; a camera array to capture an image of the selection area; a text module to perform a text operation on text identified in the image by: identifying a portion from the text identified in the image; and copying the portion from the text identified in the image to a memory buffer, the memory buffer used for copy and paste operations; and a presentation module to present an indication of the text operation to the user including a notification to the user. 7. The system of claim 1 , wherein the selection gesture comprises a point-and-loop motion, and the selection area comprises a character block. | 0.744643 |
9,640,179 | 1 | 2 | 1. An apparatus comprising: one or more processors; a speaker; a microphone array; and one or more computer-readable media storing computer-executable instructions that, when executed by the one or more processors, cause the one or more processors to perform acts comprising: instructing the speaker to emit a known sound in an environment; generating a first audio signal representing at least sound of the known sound reflected from the environment and captured by the microphone array; comparing characteristics of the known sound to characteristics of the reflected sound representing in the first audio signal to determine an acoustic characteristic of the environment; generating a second audio signal based on sound uttered by a user in the environment and captured by the microphone array; applying a set of beamformer coefficients to the second audio signal to generate a processed audio signal representing a beampattern, the beampattern having multiple lobes each focused on a region within the environment; determining which of the multiple lobes correspond to regions of the environment from which speech has previously been found to originate from; selecting a lobe of the multiple lobes based at least in part on an amount of energy associated with the lobe, the acoustic characteristic of the environment, and whether previously processed audio signals associated with the lobe have previously been selected; and preparing the processed audio signal for automatic speech recognition (ASR) based at least in part on the selecting. | 1. An apparatus comprising: one or more processors; a speaker; a microphone array; and one or more computer-readable media storing computer-executable instructions that, when executed by the one or more processors, cause the one or more processors to perform acts comprising: instructing the speaker to emit a known sound in an environment; generating a first audio signal representing at least sound of the known sound reflected from the environment and captured by the microphone array; comparing characteristics of the known sound to characteristics of the reflected sound representing in the first audio signal to determine an acoustic characteristic of the environment; generating a second audio signal based on sound uttered by a user in the environment and captured by the microphone array; applying a set of beamformer coefficients to the second audio signal to generate a processed audio signal representing a beampattern, the beampattern having multiple lobes each focused on a region within the environment; determining which of the multiple lobes correspond to regions of the environment from which speech has previously been found to originate from; selecting a lobe of the multiple lobes based at least in part on an amount of energy associated with the lobe, the acoustic characteristic of the environment, and whether previously processed audio signals associated with the lobe have previously been selected; and preparing the processed audio signal for automatic speech recognition (ASR) based at least in part on the selecting. 2. An apparatus as recited in claim 1 , the acts further comprising sending the processed audio signal at least partly after the preparing to a remote entity for performing the ASR on the processed audio signal. | 0.578 |
9,940,394 | 1 | 3 | 1. A work graph generating apparatus, comprising: a memory; a component collection in the memory, including: a work graph generating component; a processor disposed in communication with the memory, and configured to issue a plurality of processing instructions from the component collection stored in the memory, wherein the processor issues instructions from the work graph generating component, stored in the memory, to: obtain, via at least one processor, a work graph generation request, wherein the work graph generation request includes group level access control data; determine, via at least one processor, a set of metadata access control carrying messages, wherein access control data associated with metadata access control carrying messages in the set of metadata access control carrying messages corresponds to the group level access control data; determine, via at least one processor, a set of users, wherein access control data associated with users in the set of users corresponds to the group level access control data; calculate, via at least one processor, from the perspective of each user in the set of users, a user priority score for each of the other users in the set of users, wherein a user priority score from the perspective of a first user for a second user is calculated based on the number of metadata access control carrying messages, in the set of metadata access control carrying messages, associated with the second user that were user-pertinent to the first user; determine, via at least one processor, a set of channels, wherein access control data associated with channels in the set of channels corresponds to the group level access control data; calculate, via at least one processor, from the perspective of each user in the set of users, a channel priority score for each of the channels in the set of channels, wherein a channel priority score from the perspective of a user for a channel is calculated based on the number of metadata access control carrying messages, in the set of metadata access control carrying messages, associated with that channel that were channel-pertinent to that user; determine, via at least one processor, a set of topics associated with the set of metadata access control carrying messages; calculate, via at least one processor, from the perspective of each user in the set of users, a topic priority score for each of the topics in the set of topics, wherein a topic priority score from the perspective of a user for a topic is calculated based on the number of metadata access control carrying messages, in the set of metadata access control carrying messages, associated with that topic that were topic-pertinent to that user; and generate, via at least one processor, a work graph data structure that includes a set of user objects corresponding to the set of users, wherein a user object for a user includes data regarding the calculated user priority scores, channel priority scores, and topic priority scores associated with that user, and wherein the work graph data structure is associated with group level access control data. | 1. A work graph generating apparatus, comprising: a memory; a component collection in the memory, including: a work graph generating component; a processor disposed in communication with the memory, and configured to issue a plurality of processing instructions from the component collection stored in the memory, wherein the processor issues instructions from the work graph generating component, stored in the memory, to: obtain, via at least one processor, a work graph generation request, wherein the work graph generation request includes group level access control data; determine, via at least one processor, a set of metadata access control carrying messages, wherein access control data associated with metadata access control carrying messages in the set of metadata access control carrying messages corresponds to the group level access control data; determine, via at least one processor, a set of users, wherein access control data associated with users in the set of users corresponds to the group level access control data; calculate, via at least one processor, from the perspective of each user in the set of users, a user priority score for each of the other users in the set of users, wherein a user priority score from the perspective of a first user for a second user is calculated based on the number of metadata access control carrying messages, in the set of metadata access control carrying messages, associated with the second user that were user-pertinent to the first user; determine, via at least one processor, a set of channels, wherein access control data associated with channels in the set of channels corresponds to the group level access control data; calculate, via at least one processor, from the perspective of each user in the set of users, a channel priority score for each of the channels in the set of channels, wherein a channel priority score from the perspective of a user for a channel is calculated based on the number of metadata access control carrying messages, in the set of metadata access control carrying messages, associated with that channel that were channel-pertinent to that user; determine, via at least one processor, a set of topics associated with the set of metadata access control carrying messages; calculate, via at least one processor, from the perspective of each user in the set of users, a topic priority score for each of the topics in the set of topics, wherein a topic priority score from the perspective of a user for a topic is calculated based on the number of metadata access control carrying messages, in the set of metadata access control carrying messages, associated with that topic that were topic-pertinent to that user; and generate, via at least one processor, a work graph data structure that includes a set of user objects corresponding to the set of users, wherein a user object for a user includes data regarding the calculated user priority scores, channel priority scores, and topic priority scores associated with that user, and wherein the work graph data structure is associated with group level access control data. 3. The apparatus of claim 1 , wherein the group level access control data is associated with a team group. | 0.946247 |
9,465,793 | 13 | 14 | 13. A system of grammar checking, the system comprising: a first computing device-based grammar checking facility integrated into a computing environment to analyze text generated by a remote second computing device for grammatical errors, wherein the second computing device transmits the text to the grammar checking facility via a communications network, and the grammar checking facility automatically detects a plurality of possible grammatical errors in the text through software algorithms, categorizes each of the detected plurality of possible errors as one of at least a high confidence possible error and a low confidence possible error, wherein a high confidence possible error is considered an identified error, and a low confidence possible error is one the grammar checking facility can not determine exists with high enough certainty, and automatically sends, to each of a plurality of human proofreader computing devices of a plurality of human proofreaders in a crowd-source population, at least one corresponding excerpt of the text containing at least one of the plurality of possible grammatical errors categorized as a low confidence possible error so that an augmented error detection process of the excerpt is collectively performed by the plurality of human proofreaders in parallel for those grammatical errors categorized as low confidence possible errors to determine whether an actual error exists, wherein an error determined by a human proofreader to be an actual error is either corrected by the human proofreader to produce a correction result or is sent back to the grammar checking facility for automatic correction or for distribution as an identified error to at least one human proofreader, wherein the grammar checking facility may automatically correct at least some of the some of the identified errors to produce corrected text portions, wherein the grammar checking facility manages the automatic distribution of at least some of the identified errors to the plurality of human proofreaders, so that a human augmented grammar correction is collectively performed by the plurality of human proofreaders in parallel to produce correction results, wherein each of the plurality of human proofreaders has an associated quality ranking and receives the at least one corresponding excerpt of the text containing an identified error based on the associated quality ranking, and wherein each of the plurality of human proofreader computing devices is separate from the first computing device and the second computing device, wherein the correction results of the human augmented grammar checking by the plurality of human proofreaders are received by the grammar checking facility and are automatically incorporated with any automatically corrected text portions of the grammar checking facility to contribute to at least one corrected version of the received text, and wherein the at least one corrected version is sent back to the second computing device. | 13. A system of grammar checking, the system comprising: a first computing device-based grammar checking facility integrated into a computing environment to analyze text generated by a remote second computing device for grammatical errors, wherein the second computing device transmits the text to the grammar checking facility via a communications network, and the grammar checking facility automatically detects a plurality of possible grammatical errors in the text through software algorithms, categorizes each of the detected plurality of possible errors as one of at least a high confidence possible error and a low confidence possible error, wherein a high confidence possible error is considered an identified error, and a low confidence possible error is one the grammar checking facility can not determine exists with high enough certainty, and automatically sends, to each of a plurality of human proofreader computing devices of a plurality of human proofreaders in a crowd-source population, at least one corresponding excerpt of the text containing at least one of the plurality of possible grammatical errors categorized as a low confidence possible error so that an augmented error detection process of the excerpt is collectively performed by the plurality of human proofreaders in parallel for those grammatical errors categorized as low confidence possible errors to determine whether an actual error exists, wherein an error determined by a human proofreader to be an actual error is either corrected by the human proofreader to produce a correction result or is sent back to the grammar checking facility for automatic correction or for distribution as an identified error to at least one human proofreader, wherein the grammar checking facility may automatically correct at least some of the some of the identified errors to produce corrected text portions, wherein the grammar checking facility manages the automatic distribution of at least some of the identified errors to the plurality of human proofreaders, so that a human augmented grammar correction is collectively performed by the plurality of human proofreaders in parallel to produce correction results, wherein each of the plurality of human proofreaders has an associated quality ranking and receives the at least one corresponding excerpt of the text containing an identified error based on the associated quality ranking, and wherein each of the plurality of human proofreader computing devices is separate from the first computing device and the second computing device, wherein the correction results of the human augmented grammar checking by the plurality of human proofreaders are received by the grammar checking facility and are automatically incorporated with any automatically corrected text portions of the grammar checking facility to contribute to at least one corrected version of the received text, and wherein the at least one corrected version is sent back to the second computing device. 14. The system of claim 13 , wherein the second computing device is an enterprise server. | 0.875698 |
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