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

Samuel Nowakowski, Armelle Brun, Anne Boyer

2010

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.

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