Abstract: A computational resource management device uses a measured value of an execution time of data processing, a measured value of a resource amount, and a feature of input data as training data to learn a model indicating a relationship between the execution time and the resource. The device inputs, into the model, a feature of data scheduled to be input to calculate an estimated value of the execution time of the scheduled data processing, and uses the estimated value of the execution time, a variation index indicating variation in the estimated value of the execution time, and distribution of estimated residuals to calculate a resource amount required in the scheduled data processing. The device creates an execution plan of the scheduled data processing, based on the estimated value of the execution time, the variation index, the distribution of estimated residuals, and the calculated resource amount.

Abstract: Computational resource management device includes a model learning unit that uses a measured value of an execution time of data processing, a measured value of a deresource amount, and a feature of input data as training data to learn a model indicating relationship between the execution time and the resource, an execution time estimation unit that inputs, into the model, a feature of data scheduled to be input to calculate an estimated value of the execution time of the scheduled data processing, a resource amount calculation unit that uses the estimated value, a variation index indicating variation in the estimated value, and distribution of estimated residuals to calculate resource amount required in the scheduled data processing, and an execution plan creation unit that creates an execution plan of the scheduled data processing, based on the estimated value, the variation index, the distribution of estimated residuals, and the calculated resource amount.

Abstract: There are included: a user mode presuming part 2 that presumes an individual reference value about a predetermined individual presumption item based on a user context which indicates a situation of a user and is included in a content recommendation request to calculate a user mode value; a recommendation part 3 that outputs a plurality of recommendation candidate contents extracted based on the user mode value; and a consolidating part 4 that selects and outputs as a recommendation content a predetermined number of contents from a plurality of recommendation candidate contents.

Abstract: When a plurality of information search means are combined to search for information, a hybrid search system dynamically switches between combinations of information search means and ways of collecting search results from the plurality of information search means. In other words, the hybrid search system includes: a configuration management unit 100 for storing configuration information specifying the plurality of information search means in a configuration storage unit 300; and a search execution unit 200 causes each of the information search means 4011 to 401n, specified in the configuration information stored in the configuration storage unit 300, to execute an information search according to a search request.