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In this paper, we propose a new approach for recommender systems based ontarget tracking by Kalman filtering. We assume that users and their seenresources are vectors in the multidimensional space of the categories of theresources. Knowing this space, we propose an algorithm based on a Kalman filterto track users and to predict the best prediction of their future position inthe recommendation space.

A new Recommender system based on target tracking: a Kalman Filter approach