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

Samuel Nowakowski; Armelle Brun; Anne Boyer

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Paper

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

Topics: Learning User Profiles; Web Information Filtering and Retrieval; Web Mining

In Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST, 345-349, 2010 , Valencia, Spain

Authors: Samuel Nowakowski ; Armelle Brun and Anne Boyer

Affiliation: LORIA, France

Keyword(s): Kalman filtering, State space modelling, Recommender systems, State prediction.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Soft Computing ; Symbolic Systems ; Web Mining

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.

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Paper citation in several formats:

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; ISSN 2184-3252, SciTePress, pages 345-349. DOI: 10.5220/0002798403450349

@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},
issn={2184-3252},
}

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
IS - 2184-3252
AU - Nowakowski, S.
AU - Brun, A.
AU - Boyer, A.
PY - 2010
SP - 345
EP - 349
DO - 10.5220/0002798403450349
PB - SciTePress