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This position paper proposes an original approach based on a new formulation of a recommender system. This formulation uses state space description for users and web resources. Then states and parameters are predicted and estimated with two stages algorithms of a Kalman filter. In this paper, we give the main theoretical results of this original approach.

TOWARDS RECOMMENDER SYSTEMS BASED ON KALMAN FILTERS - A New Approach by State Space Modelling