Abstract: Various embodiments provide systems, computer program products and computer implemented methods. Some embodiments include a method of updating an expert corpus set, including obtaining a query from a user, obtaining a raw data source, determining a relevance score for the raw data source with respect to the query, by performing actions including creating a first vector of statistical variables for the query using at least one natural language processing (NLP) socket, the statistical variables having category types, creating a second vector for the first raw data source, having category types that are the same as those for the query and generating a hypothesis regarding the relevance of the raw data source, testing the hypothesis by comparing relative statistical variables, calculating a gradient between the vectors to determine the relevance score and updating the expert corpus set with the raw data in response to the relevance score exceeds a threshold.

Abstract: Various embodiments provide systems, computer program products and computer implemented methods. Some embodiments include a method of updating an expert corpus set, including obtaining a query from a user, obtaining a raw data source, determining a relevance score for the raw data source with respect to the query, by performing actions including creating a first vector of statistical variables for the query using at least one natural language processing (NLP) socket, the statistical variables having category types, creating a second vector for the first raw data source, having category types that are the same as those for the query and generating a hypothesis regarding the relevance of the raw data source, testing the hypothesis by comparing relative statistical variables, calculating a gradient between the vectors to determine the relevance score and updating the expert corpus set with the raw data in response to the relevance score exceeds a threshold.

Abstract: Various embodiments provide systems, computer program products and computer implemented methods. Some embodiments include a method of updating an expert corpus set, including obtaining a query from a user, obtaining a raw data source, determining a relevance score for the raw data source with respect to the query, by performing actions including creating a first vector of statistical variables for the query using at least one natural language processing (NLP) socket, the statistical variables having category types, creating a second vector for the first raw data source, having category types that are the same as those for the query and generating a hypothesis regarding the relevance of the raw data source, testing the hypothesis by comparing relative statistical variables, calculating a gradient between the vectors to determine the relevance score and updating the expert corpus set with the raw data in response to the relevance score exceeds a threshold.

Abstract: Various embodiments provide systems, computer program products and computer implemented methods. Some embodiments include a method of updating an expert corpus set, including obtaining a query from a user, obtaining a raw data source, determining a relevance score for the raw data source with respect to the query, by performing actions including creating a first vector of statistical variables for the query using at least one natural language processing (NLP) socket, the statistical variables having category types, creating a second vector for the first raw data source, having category types that are the same as those for the query and generating a hypothesis regarding the relevance of the raw data source, testing the hypothesis by comparing relative statistical variables, calculating a gradient between the vectors to determine the relevance score and updating the expert corpus set with the raw data in response to the relevance score exceeds a threshold.

Abstract: A method for adjusting a user's experience of a controllable event including determining a user somatic state, using a computer device, from user sensor data collected from at least one physiological sensor; determining a user cognitive state, using the computer device, from user experience data collected from the user; determining a user experience model, using the computer device, from the user somatic state and the user cognitive state; correlating, using the computer device, at least one user hypothesis with the user experience model; and adjusting the controllable event, using the computer device, based upon the at least one user hypothesis.

Abstract: A method for adjusting a user's experience of a controllable event including determining a user somatic state, using a computer device, from user sensor data collected from at least one physiological sensor; determining a user cognitive state, using the computer device, from user experience data collected from the user; determining a user experience model, using the computer device, from the user somatic state and the user cognitive state; correlating, using the computer device, at least one user hypothesis with the user experience model; and adjusting the controllable event, using the computer device, based upon the at least one user hypothesis.