UNSUPERVISED ADAPTATION OF THE USER INTERESTS

Lucas Marin, David Isern, Antonio Moreno

2011

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

  1. Boone, G. (1998). Concept features in Re:Agent, an intelligent Email agent. In Proc. of AGENTS 98, pages 141-148, Minneapolis, US. ACM Press.
  2. Castellano, G., Castiello, C., Dell'Agnello, D., Fanelli, A. M., Mencar, C., and Torsello, M. A. (2010). Learning Fuzzy User Profiles for Resource Recommendation. Int. J. of Uncert., Fuzziness and Know.-Based Syst., 18(4):389-410.
  3. Isern, D., Marin, L., Valls, A., and Moreno, A. (2010). The Unbalanced Linguistic Ordered Weighted Averaging Operator. In Proc. of the FUZZ-IEEE 2010, pages 3063-3070, Barcelona, Catalonia. IEEE Computer Society.
  4. Minio, M. and Tasso, C. (1996). User Modeling for Information Filtering on Internet Services: Exploiting an Extended Version of the UMT Shell. In Proc. of UM 96, Kailua-Kowa, US.
  5. Montaner, M., L ópez, B., and de la Rosa, J. L. (2003). A Taxonomy of Recommender Agents on the Internet. Art. Intell. Rev., 19(3):285-330.
  6. Nichols, D. M. (1997). Implicit Rating and Filtering. In Proc. of the 5th DELOS Workshop of Filtering and Collaborative Filtering, pages 31-36, Budapest, Hongary. European Research Consortium for Informatics and Mathematics.
  7. Porcel, C., Moreno, J. M., and Herrera-Viedma, E. (2009). A multi-disciplinar recommender system to advice research resources in University Digital Libraries. Exp. Syst. with Appl., 36(10):12520-12528.
  8. Resnick, P. and Varian, H. R. (1997). Recommender Systems. Commun. of the ACM, 40(3):56-58.
Download


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