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Authors: Olatz Arbelaitz ; Ibai Gurrutxaga ; Aizea Lojo ; Javier Muguerza ; Jesús M. Pérez and Iñigo Perona

Affiliation: University of the Basque Country UPV-EHU, Spain

ISBN: 978-989-8565-29-7

Keyword(s): Adaptive Web, Link Prediction, User Profile, Collaborative Filtering, Machine Learning, Web Usage Mining, Web Content Mining, Semantics.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Clustering and Classification Methods ; Collaborative Filtering ; Computational Intelligence ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Mining Text and Semi-Structured Data ; Soft Computing ; Symbolic Systems ; User Profiling and Recommender Systems ; Web Mining

Abstract: Websites are important tools for tourism destinations. The adaptation of the websites to the users’ preferences and requirements will turn the websites into more effective tools. Using machine learning techniques to build user profiles allows us to take into account their real preferences. This paper presents the first approach of a system that, based on a collaborative filtering approach, adapts a tourism website to improve the browsing experience of the users: it generates automatically interesting links for new users. In this work we first build a system based just on the usage information stored in web log files (common log format) and then combine it with the web content information to improve the performance of the system. The use of content information not only improves the results but it also offers very useful information about the users’ interests to travel agents.

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Paper citation in several formats:
Arbelaitz, O.; Gurrutxaga, I.; Lojo, A.; Muguerza, J.; M. Pérez, J. and Perona, I. (2012). Enhancing a Web Usage Mining based Tourism Website Adaptation with Content Information.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012) ISBN 978-989-8565-29-7, pages 287-292. DOI: 10.5220/0004171002870292

@conference{kdir12,
author={Olatz Arbelaitz. and Ibai Gurrutxaga. and Aizea Lojo. and Javier Muguerza. and Jesús M. Pérez. and Iñigo Perona.},
title={Enhancing a Web Usage Mining based Tourism Website Adaptation with Content Information},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)},
year={2012},
pages={287-292},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004171002870292},
isbn={978-989-8565-29-7},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)
TI - Enhancing a Web Usage Mining based Tourism Website Adaptation with Content Information
SN - 978-989-8565-29-7
AU - Arbelaitz, O.
AU - Gurrutxaga, I.
AU - Lojo, A.
AU - Muguerza, J.
AU - M. Pérez, J.
AU - Perona, I.
PY - 2012
SP - 287
EP - 292
DO - 10.5220/0004171002870292

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