A fuzzy-based recommender approach for learning objects management systems
Francisco P. Romero, Mateus Ferreira-Satler, José Á. Olivas, Manuel Emilio Prieto Méndez, Víctor Hugo Menéndez Domínguez · 2011
This paper shows how some fuzzy logic tecniques applied to a recommender engine can be used in a Learning Object Repository. A Fuzzy Linguistic model based on three dimensions: structural, contextual, personal is proposed. The contextual and personal dimensions are modelled using domain ontologies and a automatically built fuzzy ontology, respectively. The experiment results indicate that the presented approach is useful and warrants further research in recommending and retrieval information.