A graph-based recommender system for training groups in the professional context
Wednesday, June 27 12:20-12:40 PM
Presider:Cathrin Vogel, FernUniversität in Hagen, Germany
In the context of vocational training, the composition of the optimal training group must take into account the socio-professional aspects of the learners' profiles. Indeed, the training group is subject to structural characteristics specific to the field of application that can influence potential collaborations during a face-to-face training session (composition, size, duration). This research work aims to present our modelling methodology from a perspective of a recommender system to assist in the composition of training groups. Our approach consists in aggregating learners' individual preferences by incorporating the concepts of social network theory, in particular by polarizing the nature of inter-professional relations.