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Conference Papers Year : 2010

Towards recommender systems based on Kalman filters - A new approach by state space modeling

Abstract

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.
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Dates and versions

inria-00548800 , version 1 (20-12-2010)

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  • HAL Id : inria-00548800 , version 1

Cite

Samuel Nowakowski, Armelle Brun, Anne Boyer. Towards recommender systems based on Kalman filters - A new approach by state space modeling. 6th International Conference on Web Information Systems and Technologies - WEBIST 2010, Apr 2010, Valencia, Spain. ⟨inria-00548800⟩
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