Une Approche de recommandation proactive dans un environnement mobile

The Context Aware Recommender Systems aim to combine a set of technologies and knowledge about the user context in order to deliver the most appropriate information to the user need at just the right time. It is called Proactive Recommendation. In this paper, we propose an approach for context-aware proactive recommendation in a mobile environment that aims at providing users with relevant information tailored to their own needs and preferences. The user preferences are implicitly identified and learned. We evaluated our approach through the 2014 TREC Task "Contextual Suggestion Track". The results that we obtained are promising. MOTS-CLÉS : modélisation du contexte, système de recommandation contextuelle, recommandation proactive.