HUMAN RESOURCE ALLOCATION SUPPORTING SYSTEM AND METHOD
Abstract:
A system calculates, by executing an optimum parameter model, an optimum parameter group used to generate an allocation plan based on input data including all or part of allocation information of human resources in an organization. The optimum parameter model is a machine learning model to which the input data is input and from which an optimum parameter group is output. For each time point, the system generates an allocation plan based on the input data corresponding to the time point and based on a given parameter group, and calculates an optimum parameter group based on the allocation plan, correct data that obeys manual correction of the allocation plan, and the given parameter group. The system performs learning of the optimum parameter model based on a data set (including the input data or a characteristic amount of the input data, and the optimum parameter group) for each time point.
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