Situation-Aware Approach to Improve Context-based Recommender System

In this paper, we introduce a novel situation-aware approach to improve a context based recommender system. To build situationaware user profiles, we rely on evidence issued from retrieval situations. A retrieval situation refers to the social-spatiotemporal context of the user when he interacts with the recommender system. A situation is represented as a combination of socialspatiotemporal concepts inferred from ontological knowledge given social group, location and time information. User's interests are inferred from past user’s interaction with the recommender system related to the identified situations. They are represented using concepts issued from a domain ontology. We also propose a method to dynamically adapt the system to the user's interest’s evolution.