Abstract: A system and method are provided to transform vectors from a first vector model resulting from a first text corpus and also to transform vectors from a second vector model resulting from a second text corpus into a combined vector model. Advantageously, no access or retraining on the first text corpus is required.

Abstract: A system, a method, and a medium are provided to use Freebase as a source of structured data to construct a knowledge database with Resource Description Framework (RDF) triples and determine encoded entities responsive to structured queries.

Abstract: Methods and systems described herein may perform a word-level encryption and a sentence-level encryption of one or more documents. The word-level encryption and the sentence-level encryption may be performed with an encryption key generated by a client device. A document indexer is stored in the one or more storage networks. The document indexer includes encrypted word frequencies and encrypted word position identifiers based on the encrypted words of the one or more encrypted documents. The client device receives search terms and encrypts the search terms with the encryption key. The one or more encrypted documents are identified in the one or more storage networks based on searching with the encrypted search terms and at least one of the encrypted word frequencies and/or the encrypted word position identifiers.

Abstract: A system and method is provided to analyze a database of concepts organized into categories, wherein each concept is an online textual document, to determine a numerical relationship between the concepts and to determine a hierarchy for the categories.

Abstract: Systems and methods are disclosed for contextual analysis and segmentation of information objects. In accordance with one implementation, information objects, such as web pages and user profiles, may be processed to obtain a list of key terms. An index may be created containing each of the information objects and associated key terms. Information objects may then be matched to contextual segments (i.e., categories of information objects) by submitting terms associated with the contextual segments against the index. Further, thresholding may be applied, so that only the most relevant information objects for a contextual segment are assigned to the contextual segment.

Abstract: A system and method is provided that processes a training database of human-generated requests in each of a plurality of task categories with a machine learning algorithm to develop a task classifier model that may be applied to subsequent user requests to determine the most likely one of the task categories for the subsequent user request.

Abstract: Methods and systems described herein may perform a word-level encryption and a sentence-level encryption of one or more documents. The word-level encryption and the sentence-level encryption may be performed with an encryption key generated by a client device. A document indexer is stored in the one or more storage networks. The document indexer includes encrypted word frequencies and encrypted word position identifiers based on the encrypted words of the one or more encrypted documents. The client device receives search terms and encrypts the search terms with the encryption key. The one or more encrypted documents are identified in the one or more storage networks based on searching with the encrypted search terms and at least one of the encrypted word frequencies and/or the encrypted word position identifiers.

Abstract: A system, a method, and a medium are provided to use Freebase as a source of structured data to construct a knowledge database with Resource Description Framework (RDF) triples and determine encoded entities responsive to structured queries.

Abstract: A system and method is provided to analyze a database of concepts organized into categories, wherein each concept is an online textual document, to determine a numerical relationship between the concepts and to determine a hierarchy for the categories.

Abstract: A system and method is provided that processes a training database of human-generated requests in each of a plurality of task categories with a machine learning algorithm to develop a task classifier model that may be applied to subsequent user requests to determine the most likely one of the task categories for the subsequent user request.

Abstract: Systems and methods are disclosed for contextual analysis and segmentation of information objects. According to one implementation, information objects, such as web pages and user profiles, may be analyzed to identify key terms. These key terms may be included in a contextual representation of an information object. By comparing the contextual representations of a plurality of information objects, one or more contextual segments (i.e., categories of information objects) may be created. Each contextual segment may also be associated with its own contextual representation. Once a contextual segment has been created, information objects may be assigned to the contextual segment. These contextual segments may be used to deliver targeted advertising, for example.

Abstract: A computer-implemented method is provided for managing online user profiles. The method includes receiving information about online activity of a user, the information including at least a unique user ID and a URL requested by the user; fetching textual content associated with the URL requested by the user; generating one or more keywords based on the textual content; and generating or updating a user profile of the user to include the one or more keywords. A system for managing online user profiles is also provided.

Abstract: Systems and methods are disclosed for contextual analysis and segmentation of information objects. According to one implementation, information objects, such as web pages and user profiles, may be analyzed to identify key terms. These key terms may be included in a contextual representation of an information object. By comparing the contextual representations of a plurality of information objects, one or more contextual segments (i.e., categories of information objects) may be created. Each contextual segment may also be associated with its own contextual representation. Once a contextual segment has been created, information objects may be assigned to the contextual segment. These contextual segments may be used to deliver targeted advertising, for example.

Abstract: Systems and methods are disclosed for contextual analysis and segmentation of information objects. In accordance with one implementation, information objects, such as web pages and user profiles, may be processed to obtain a list of key terms. An index may be created containing each of the information objects and associated key terms. Information objects may then be matched to contextual segments (i.e., categories of information objects) by submitting terms associated with the contextual segments against the index. Further, thresholding may be applied, so that only the most relevant information objects for a contextual segment are assigned to the contextual segment.

Abstract: A method of system design, and more particularly a method of designing systems that achieve a set of performance goals using a hierarchically partitioned system representation wherein performance simulations are performed at multiple levels within the hierarchy and are combined to simulate a system level result in order to reduce the aggregate time required for performance simulation.

Abstract: A method of system design, and more particularly a method of designing systems that achieve a set of performance goals using a hierarchically partitioned system representation wherein performance simulations are performed at multiple levels within the hierarchy and are combined to simulate a system level result in order to reduce the aggregate time required for performance simulation.

Abstract: The present invention is directed towards systems and methods for predicting a frequency with which an advertisement displayed in response to a query will be selected. The method of the present invention comprises receiving analytics data associated with a display of one or more advertisements in response to one or more queries. One or more features associated with the one or more advertisements displayed in response to the one or more queries are identified. One or more functions are generated for predicting a frequency with which a given advertisement displayed in response to a query will be selected using the analytics data and features associated with the one or more advertisements displayed in response to the one or more queries.

Abstract: The invention is a method of placement of components and networks (nets), utilized for interconnecting the components, of a circuit layout. The method includes forming for electrical devices, pads (or lands) and networks (nets) of a circuit layout a listing of the positions thereof with respect to one another, connections therebetween and the orientation of each net or subnet thereof in the circuit layout. The thus formed list is processed subject to at least one objective regarding the size of the circuit layout, whereupon a placement of the electrical devices and the pads is determined simultaneously with the placement of the networks.

Abstract: The invention is a method of placement of components and networks (nets), utilized for interconnecting the components, of a circuit layout. The method includes forming for electrical devices, pads (or lands) and networks (nets) of a circuit layout a listing of the positions thereof with respect to one another, connections therebetween and the orientation of each net or subnet thereof in the circuit layout. The thus formed list is processed subject to at least one objective regarding the size of the circuit layout, whereupon a placement of the electrical devices and the pads is determined simultaneously with the placement of the networks.

Abstract: The present invention is directed towards systems and methods for predicting a frequency with which an advertisement displayed in response to a query will be selected. The method of the present invention comprises receiving analytics data associated with a display of one or more advertisements in response to one or more queries. One or more features associated with the one or more advertisements displayed in response to the one or more queries are identified. One or more functions are generated for predicting a frequency with which a given advertisement displayed in response to a query will be selected using the analytics data and features associated with the one or more advertisements displayed in response to the one or more queries.