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Conference Papers Year : 2010

A Kalman filtering based recommender system - A new approach by state space modelling

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Abstract

We propose an original approach based on a new formulation of a recommender system using 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-00548806 , version 1 (20-12-2010)

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  • HAL Id : inria-00548806 , version 1

Cite

Samuel Nowakowski, Armelle Brun, Anne Boyer. A Kalman filtering based recommender system - A new approach by state space modelling. 3rd International Conference on Information Systems and Economic Intelligence - SIIE'2010, Feb 2010, Sousse, Tunisia. ⟨inria-00548806⟩
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