Abstract: Embodiments relate to personalized low latency communications. A method may include receiving a description of content of a message, receiving recipient data corresponding to at least two possible recipients within a population of possible recipients, and selecting a relevant subpopulation of the population. The selecting may include, for each of the at least two possible recipients, ranking a strength of an indirect relationship between the description and the recipient data. The indirect relationship may be based on the description, the recipient data and at least one additional data source. The selecting may also include, for each of the at least two possible recipients, adding a possible recipient to the relevant subpopulation based on the ranking of the indirect relationship associated with the possible recipient. The method may further include initiating a two-way communication channel between a sender of the message and the relevant subpopulation.

Abstract: A method and apparatus are provided for recommending concepts from a first concept set in response to user selection of a first concept Ci by performing a natural language processing (NLP) analysis comparison of vector representations of user concepts contained in written content authored by the user and candidate concepts in a first concept set to determine a similarity measure for each candidate concept, and to select therefrom one or more of the candidate concepts for display as recommended concepts which are related to the user concepts contained in written content authored by the user based on the similarity measure between each candidate concept and each user concept.

Abstract: Embodiments relate to personalized low latency communications. A method may include receiving a description of content of a message, receiving recipient data corresponding to at least two possible recipients within a population of possible recipients, and selecting a relevant subpopulation of the population. The selecting may include, for each of the at least two possible recipients, ranking a strength of an indirect relationship between the description and the recipient data. The indirect relationship may be based on the description, the recipient data and at least one additional data source. The selecting may also include, for each of the at least two possible recipients, adding a possible recipient to the relevant subpopulation based on the ranking of the indirect relationship associated with the possible recipient. The method may further include initiating a two-way communication channel between a sender of the message and the relevant subpopulation.

Abstract: A method and apparatus are provided for generating concept hierarchies in response to a user request to produce a hierarchy of concepts from a first concept set by performing a natural language processing (NLP) analysis comparison of the vector representations of the concepts in the first concept set to determine a similarity measure for each pair of distinct concepts Ci and Cj in the first concept set, and to construct therefrom a concept hierarchy based on one or more specified hierarchy parameters and the similarity measure for each pair of distinct concepts Ci and Cj in the first concept set.

Abstract: A method and apparatus are provided for recommending concepts from a first concept set in response to user selection of a first concept Ci by performing a natural language processing (NLP) analysis comparison of vector representations of user concepts contained in written content authored by the user and candidate concepts in a first concept set to determine a similarity measure for each candidate concept, and to select therefrom one or more of the candidate concepts for display as recommended concepts which are related to the user concepts contained in written content authored by the user based on the similarity measure between each candidate concept and each user concept.

Abstract: A method and apparatus are provided for recommending concepts from a first concept set in response to user selection of a first concept Ci by performing a natural language processing (NLP) analysis comparison of vector representations of user concepts contained in written content authored by the user and candidate concepts in a first concept set to determine a similarity measure for each candidate concept, and to select therefrom one or more of the candidate concepts for display as recommended concepts which are related to the user concepts contained in written content authored by the user based on the similarity measure between each candidate concept and each user concept.

Abstract: A method and apparatus are provided for generating concept hierarchies in response to a user request to produce a hierarchy of concepts from a first concept set by performing a natural language processing (NLP) analysis comparison of the vector representations of the concepts in the first concept set to determine a similarity measure for each pair of distinct concepts Ci and Cj in the first concept set, and to construct therefrom a concept hierarchy based on one or more specified hierarchy parameters and the similarity measure for each pair of distinct concepts Ci and Cj in the first concept set.

Abstract: A method and apparatus are provided for grouping individuals into one or more teams by generating vector representations of individual concept sets (containing individual concepts associated with a corresponding individual) and a project concept set (containing project concepts corresponding to a specified project), and then performing comparison analysis (e.g., a natural language processing (NLP) analysis comparison) of the vector representation of each individual concept set to a vector representation of each project concept set to determine a similarity measure between each individual concept set and each project concept set so that one or more of the plurality of individuals may be selected for grouping into a first team by using the similarity measure to determine which individual concepts associated with a corresponding individual are similar to the project concept set.

Abstract: A method and apparatus are provided for recommending concepts from a first concept set in response to user selection of a first concept Ci by performing a natural language processing (NLP) analysis comparison of vector representations of user concepts contained in written content authored by the user and candidate concepts in a first concept set to determine a similarity measure for each candidate concept, and to select therefrom one or more of the candidate concepts for display as recommended concepts which are related to the user concepts contained in written content authored by the user based on the similarity measure between each candidate concept and each user concept.

Abstract: A method and apparatus are provided for recommending concepts from a first concept set in response to user selection of a first concept Ci by performing a natural language processing (NLP) analysis comparison of the vector representations of a first concept set of candidate concepts and a second concept set of user-explored concepts to determine a similarity measure corresponding to each candidate concept, and to select therefrom one or more of the candidate concepts for display as recommended concepts which are related to the one or more user-explored concepts from the navigation history for the user based on the similarity measure for each candidate concept.

Abstract: Embodiments relate to estimating closeness of topics based on graph analytics. A graph that includes a plurality of nodes and edges is accessed. Each node in the graph represents a topic and each edge represents a known association between two topics. A statistical traversal experiment is performed on the graph. A strength of relations between any two topics represented by nodes in the graph is inferred based on statistics extracted from the statistical traversal experiment.

Abstract: Embodiments relate to estimating closeness of topics based on graph analytics. A graph that includes a plurality of nodes and edges is accessed. Each node in the graph represents a topic and each edge represents a known association between two topics. A statistical traversal experiment is performed on the graph. A strength of relations between any two topics represented by nodes in the graph is inferred based on statistics extracted from the statistical traversal experiment.

Abstract: Embodiments relate to estimating closeness of topics based on graph analytics. A graph that includes a plurality of nodes and edges is accessed. Each node in the graph represents a topic and each edge represents a known association between two topics. A statistical traversal experiment is performed on the graph. A strength of relations between any two topics represented by nodes in the graph is inferred based on statistics extracted from the statistical traversal experiment.

Abstract: Embodiments relate to estimating closeness of topics based on graph analytics. A graph that includes a plurality of nodes and edges is accessed. Each node in the graph represents a topic and each edge represents a known association between two topics. A statistical traversal experiment is performed on the graph. A strength of relations between any two topics represented by nodes in the graph is inferred based on statistics extracted from the statistical traversal experiment.

Abstract: Embodiments relate to personalized low latency communications. A method may include receiving a description of content of a message, receiving recipient data corresponding to at least two possible recipients within a population of possible recipients, and selecting a relevant subpopulation of the population. The selecting may include, for each of the at least two possible recipients, ranking a strength of an indirect relationship between the description and the recipient data. The indirect relationship may be based on the description, the recipient data and at least one additional data source. The selecting may also include, for each of the at least two possible recipients, adding a possible recipient to the relevant subpopulation based on the ranking of the indirect relationship associated with the possible recipient. The method may further include initiating a two-way communication channel between a sender of the message and the relevant subpopulation.

Abstract: Embodiments relate to personalized low latency communications. A method may include receiving a description of content of a message, receiving recipient data corresponding to at least two possible recipients within a population of possible recipients, and selecting a relevant subpopulation of the population. The selecting may include, for each of the at least two possible recipients, ranking a strength of an indirect relationship between the description and the recipient data. The indirect relationship may be based on the description, the recipient data and at least one additional data source. The selecting may also include, for each of the at least two possible recipients, adding a possible recipient to the relevant subpopulation based on the ranking of the indirect relationship associated with the possible recipient. The method may further include initiating a two-way communication channel between a sender of the message and the relevant subpopulation.

Abstract: A method and system is disclosed which alters the performance of computer systems to make exception-less system calls, thus avoiding or reducing the direct and indirect overheads associated with making an exception-based system call. The invention can be employed with single core processor systems and with multi-core processor systems.

Abstract: A method and system is disclosed which can enhance the performance of computer systems by altering the operation of the operating system of those computer systems. The invention provides a system and method for making exception-less system calls, decoupling the invocation and execution of system calls, thus avoiding or reducing the direct and indirect overheads associated with making a conventional exception-based system call. The invention can be employed with single core processor systems and with multi-core processor systems, both affording improved temporal execution locality and the later also providing improved spatial execution locality. The system and method can be employed in a wide range of operating systems.

Abstract: A method and system is disclosed which can enhance the performance of computer systems by altering the operation of the operating system of those computer systems. The invention provides a system and method for making exception-less system calls, decoupling the invocation and execution of system calls, thus avoiding or reducing the direct and indirect overheads associated with making a conventional exception-based system call. The invention can be employed with single core processor systems and with multi-core processor systems, both affording improved temporal execution locality and the later also providing improved spatial execution locality. The system and method can be employed in a wide range of operating systems.

Abstract: A method and system is disclosed which can enhance the performance of computer systems by altering the operation of the operating system of those computer systems. The invention provides a system and method for making exception-less system calls, thus avoiding or reducing the direct and indirect overheads associated with making an exception-based system call. The invention can be employed with single core processor systems and with multi-core processor systems, both affording improved temporal execution locality and the later also providing improved spatial execution locality. The system and method can be employed in a wide range of operating systems.