Target tracking in the recommender space: Toward a new recommender system based on Kalman filtering

Details Target tracking in the recommender space: Toward a new recommender system based on Kalman filtering Target tracking in the recommender space: Toward a new recommender system based on Kalman filtering

2010-11-10

arxiv.org/abs/1011.2304v1

Computer Science

Artificial Intelligence

Scientific paper

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

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