Ontology based multi criteria recommendation system to guide internship assignment process

Abstract : Internship component is a vital part of the university training program as it looked as a vital resource for students to gain the required skills for employment. Both competencies required by the recruiters and the students' skills evolve in the time and their regular update is necessary. This leads to the development of a reference model for their management, update and maintenance. This paper proposes a multi criteria decision system which aims at integrating an ontology in order to select and to recommend adapted internship seekers to the recruiter mission posting or vice versa. This proposed recommended system has four phases in screening candidates for recruitment. In the first three phases, we construct the ontological models of the three principle domains: mission's requirements, student' profile and training course. Finally, in the last phase we discuss the steps of the ontology based multi criteria decision making method that enables to retrieve the right candidates to the right internship. Experiment results show that this system improves the accuracy of matching candidates with mission requirement.
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Abir M'Baya, Jannik Laval, Néjib Moalla, Yacine Ouzrout, Abdelaziz Bouras. Ontology based multi criteria recommendation system to guide internship assignment process. 9th International Workshop on Knowledge Acquisition Reuse & Evaluation, KARE 2016, Nov 2016, Naples, Italy. ⟨hal-01438752⟩

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