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Authors: Ilham Esslimani ; Armelle Brun and Anne Boyer

Affiliation: Université Nancy 2, France

Keyword(s): Recommender systems, Collaborative filtering, Clustering, Usage analysis, Navigational patterns.

Related Ontology Subjects/Areas/Topics: Data Engineering ; Ontologies and the Semantic Web ; Social Information Systems ; Society, e-Business and e-Government ; User Modeling ; Web Information Systems and Technologies ; Web Interfaces and Applications ; Web Personalization

Abstract: Recommender systems are widely used for automatic personalization of information on web sites and information retrieval systems. Collaborative Filtering (CF) is the most popular recommendation technique, but several CF systems still suffer from problems like data rating availability and space dimensionality for neighborhood selection. In this paper, we present a new CF approach (PSN-CF) that uses usage traces to model users. These traces are used to estimate ratings that will be employed to generate clusters. Then, the PSN-CF evaluates navigational correlations between users within these clusters. Predictions are performed in a following step. The performance of PSN-CF is evaluated in terms of accuracy and time processing on a real usage dataset. We show that PSN-CF highly improves the accuracy of predictions in terms of MAE. Moreover, the use of clustering and positive sequences before computing the navigational correlations contributes to an important reduction of time processing.

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Paper citation in several formats:
Esslimani, I.; Brun, A. and Boyer, A. (2009). A COLLABORATIVE FILTERING APPROACH COMBINING CLUSTERING AND NAVIGATIONAL BASED CORRELATIONS. In Proceedings of the Fifth International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-8111-81-4; ISSN 2184-3252, SciTePress, pages 364-369. DOI: 10.5220/0001841303640369

@conference{webist09,
author={Ilham Esslimani. and Armelle Brun. and Anne Boyer.},
title={A COLLABORATIVE FILTERING APPROACH COMBINING CLUSTERING AND NAVIGATIONAL BASED CORRELATIONS},
booktitle={Proceedings of the Fifth International Conference on Web Information Systems and Technologies - WEBIST},
year={2009},
pages={364-369},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001841303640369},
isbn={978-989-8111-81-4},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the Fifth International Conference on Web Information Systems and Technologies - WEBIST
TI - A COLLABORATIVE FILTERING APPROACH COMBINING CLUSTERING AND NAVIGATIONAL BASED CORRELATIONS
SN - 978-989-8111-81-4
IS - 2184-3252
AU - Esslimani, I.
AU - Brun, A.
AU - Boyer, A.
PY - 2009
SP - 364
EP - 369
DO - 10.5220/0001841303640369
PB - SciTePress