Applications of user and context-aware recommendations using ontologies
Conference Internationale Francophone sur I'Interaction Homme-Machine
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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 canbe provided adequately in different situations as the user ontology allows expressing context-dependent interests. Theapproach has been successfully applied in a prototype of video recommender for mobile device.