Fuzzy User Profile Modeling for Information Retrieval

Rim Fakhfakh, Anis Ben Ammar, Chokri Ben Amar

2014

Abstract

Given the continued growth in the number of documents available in the social Web, it becomes increasingly difficult for a user to find relevant resources satisfying his information need. Personalization seems to be an efficient manner to improve the retrieval engine effectiveness. In this paper we introduce a personalized image retrieval system based on user profile modeling depending on user’s context. The context includes user comments, rates, tags and preferences extracted from social network. We adopt a fuzzy logic-based user profile modeling due to its flexibility in decision making since user preference are always imprecise. The user has to specify his initial need description by rating concepts and contexts he is interested in. Concepts and contexts are weighted by the user by associating a score and these scores will infer in our fuzzy model to predict the preference degree related to each concept for such context and return the preference degree. Relying on the score affected for each concept and context we deduce its importance to apply then the appropriate fuzzy rule. As for as the experiments, the advanced user profile modeling with fuzzy logic shows more flexibility in the interpretation of the query.

Paper Citation

in Harvard Style

Fakhfakh R., Ben Ammar A. and Ben Amar C. (2014). Fuzzy User Profile Modeling for Information Retrieval . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014) ISBN 978-989-758-048-2, pages 431-436. DOI: 10.5220/0005156304310436

in Bibtex Style

@conference{kdir14,
author={Rim Fakhfakh and Anis Ben Ammar and Chokri Ben Amar},
title={Fuzzy User Profile Modeling for Information Retrieval},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014)},
year={2014},
pages={431-436},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005156304310436},
isbn={978-989-758-048-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014)
TI - Fuzzy User Profile Modeling for Information Retrieval
SN - 978-989-758-048-2
AU - Fakhfakh R.
AU - Ben Ammar A.
AU - Ben Amar C.
PY - 2014
SP - 431
EP - 436
DO - 10.5220/0005156304310436