Ontology-Based Matchmaking Approach for Context-Aware Recommendations

Abstract

In this short paper, we present a series of ontologies allowing modeling of user, multimedia content and context, and a rule-based matchmaking approach for recommending systems. Category-based preferences as well as the expression of any interest concerning a concept formalized in an ontology are allowed. Furthermore, recommendations can be provided adequately in different situations as the user ontology allows expressing context-dependent interests. The approach has been successfully applied in a prototype of video recommender for mobile device.