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

Samuel Nowakowski 1, * Armelle Brun 1 Anne Boyer 1
* Corresponding author
1 KIWI - Knowledge Information and Web Intelligence
LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
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.
keyword : kalman filtering recommender systems
Document type :
Conference papers
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https://hal.inria.fr/inria-00548806
Contributor : Armelle Brun <>
Submitted on : Monday, December 20, 2010 - 3:01:11 PM
Last modification on : Tuesday, April 24, 2018 - 1:30:49 PM

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  • HAL Id : inria-00548806, version 1

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CNRS | INRIA | LORIA | UNIV-LORRAINE

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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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