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

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 : 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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Conference papers
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https://hal.inria.fr/inria-00548800
Contributor : Armelle Brun <>
Submitted on : Monday, December 20, 2010 - 2:53:21 PM
Last modification on : Tuesday, April 24, 2018 - 1:30:50 PM

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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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