TOWARDS RECOMMENDER SYSTEMS BASED ON KALMAN FILTERS - A New Approach by State Space Modelling

Samuel Nowakowski, Armelle Brun, Anne Boyer

Abstract

This position 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.

References

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Paper Citation


in Harvard Style

Nowakowski S., Brun A. and Boyer A. (2010). TOWARDS RECOMMENDER SYSTEMS BASED ON KALMAN FILTERS - A New Approach by State Space Modelling . In Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST, ISBN 978-989-674-025-2, pages 345-349. DOI: 10.5220/0002798403450349


in Bibtex Style

@conference{webist10,
author={Samuel Nowakowski and Armelle Brun and Anne Boyer},
title={TOWARDS RECOMMENDER SYSTEMS BASED ON KALMAN FILTERS - A New Approach by State Space Modelling},
booktitle={Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST,},
year={2010},
pages={345-349},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002798403450349},
isbn={978-989-674-025-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST,
TI - TOWARDS RECOMMENDER SYSTEMS BASED ON KALMAN FILTERS - A New Approach by State Space Modelling
SN - 978-989-674-025-2
AU - Nowakowski S.
AU - Brun A.
AU - Boyer A.
PY - 2010
SP - 345
EP - 349
DO - 10.5220/0002798403450349