UNSUPERVISED ADAPTATION OF THE USER INTERESTS

Lucas Marin, David Isern, Antonio Moreno

Abstract

One of the main problems in recommender systems is to ensure the quality of the user profile. This issue is particularly challenging if the user preferences may vary in time. This paper proposes a novel unsupervised algorithm to adapt dynamically the user profile, taking into account the interaction of the user with the system. The paper discusses the influence of the basic parameters of the adaptation algorithm and presents some promising preliminary results.

References

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Paper Citation


in Harvard Style

Marin L., Isern D. and Moreno A. (2011). UNSUPERVISED ADAPTATION OF THE USER INTERESTS . In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-40-9, pages 337-342. DOI: 10.5220/0003180803370342


in Bibtex Style

@conference{icaart11,
author={Lucas Marin and David Isern and Antonio Moreno},
title={UNSUPERVISED ADAPTATION OF THE USER INTERESTS},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2011},
pages={337-342},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003180803370342},
isbn={978-989-8425-40-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - UNSUPERVISED ADAPTATION OF THE USER INTERESTS
SN - 978-989-8425-40-9
AU - Marin L.
AU - Isern D.
AU - Moreno A.
PY - 2011
SP - 337
EP - 342
DO - 10.5220/0003180803370342