Recommender Systems for Human Resources Task Assignment

In Portugal, the organisations responsible for the internal control of the State’s financial administration need to progressively optimise their human resources in order to maximise their effectiveness. Part of this important responsibility relates to competence management and the assignment of their most suitable human resources to the tasks that insure their mission accomplishment. Such endeavour can benefit from a central concept of the Computer Supported Collaborative Work (CSCW) field: the application of computer technology to support group work. This paper outlines a recommender system, the 2HRT that aims to facilitate a more proficient human resources’ task assignment, helping the human resources department to respond more efficiently to the demands for personnel of other departments. This research uses a Delphi study, with semistructured interviews to collect the views of inspection agents in Portugal. The proposed recommender system incorporates the collaborative filtering and content-based recommendation techniques and the case-based reasoning approach.

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