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Rapport (Rapport De Recherche) Année : 2011

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

Résumé

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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Dates et versions

inria-00534413 , version 1 (09-11-2010)

Identifiants

  • HAL Id : inria-00534413 , version 1
  • ARXIV : 1011.2304

Citer

Samuel Nowakowski, Cédric Bernier, Anne Boyer. Target tracking in the recommender space: Toward a new recommender system based on Kalman filtering. [Research Report] 2011, pp.7. ⟨inria-00534413⟩
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