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

Samuel Nowakowski 1, * Armelle Brun 1 Anne Boyer 1
* Auteur correspondant
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
Type de document :
Communication dans un congrès
3rd International Conference on Information Systems and Economic Intelligence - SIIE'2010, Feb 2010, Sousse, Tunisia. 2010
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https://hal.inria.fr/inria-00548806
Contributeur : Armelle Brun <>
Soumis le : lundi 20 décembre 2010 - 15:01:11
Dernière modification le : mardi 24 avril 2018 - 13:30:49

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  • HAL Id : inria-00548806, version 1

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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. 2010. 〈inria-00548806〉

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