loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Samuel Nowakowski ; Armelle Brun and Anne Boyer

Affiliation: LORIA, France

ISBN: 978-989-674-025-2

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.

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.229.151.87

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Nowakowski S.; Brun A.; Boyer A. and (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

@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},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.