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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

Keyword(s): Adaptive Web, Web Usage Mining, Clustering, Frequent Pattern Mining, Automatic Link Generation.

Abstract: During the last decades, the information in the web has increased drastically but larger quantities of data do not provide perse added value for web visitors; there is a need for more efficient access to the required information and adaptation to user preferences or needs. The use of machine learning techniques to build user profiles allows to take into account users’ real preferences. We present in this work a preliminary system, based on the collaborative filtering approach, to identify and generate interesting links for the users while they are navigating. The system uses only web navigation logs stored in any web server (according to the Common Log Format) and extracts information from them combining unsupervised and supervised classification techniques and frequent pattern mining techniques. It also includes a generalization procedure in the data preprocessing phase and in this work we analyze its effect on the final performance of the whole system. We also analyze the effect of the cold start (0 day problem) in the proposed system. The experiments show that the proposed generalization option improves the results of the designed system, which performs efficiently w.r.t. a web-accessible database and is even able to deal with the cold start problem. (More)

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Paper citation in several formats:
Arbelaitz, O.; Gurrutxaga, I.; Lojo, A.; Muguerza, J.; M. Pérez, J. and Perona, I. (2012). Web Usage Mining for Automatic Link Generation. In Proceedings of the 10th International Workshop on Modelling, Simulation, Verification and Validation of Enterprise Information Systems and 1st International Workshop on Web Intelligence (ICEIS 2012) - WEBI; ISBN 978-989-8565-14-3, SciTePress, pages 71-80. DOI: 10.5220/0004090400710080

@conference{webi12,
author={Olatz Arbelaitz. and Ibai Gurrutxaga. and Aizea Lojo. and Javier Muguerza. and Jesús {M. Pérez}. and Iñigo Perona.},
title={Web Usage Mining for Automatic Link Generation},
booktitle={Proceedings of the 10th International Workshop on Modelling, Simulation, Verification and Validation of Enterprise Information Systems and 1st International Workshop on Web Intelligence (ICEIS 2012) - WEBI},
year={2012},
pages={71-80},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004090400710080},
isbn={978-989-8565-14-3},
}

TY - CONF

JO - Proceedings of the 10th International Workshop on Modelling, Simulation, Verification and Validation of Enterprise Information Systems and 1st International Workshop on Web Intelligence (ICEIS 2012) - WEBI
TI - Web Usage Mining for Automatic Link Generation
SN - 978-989-8565-14-3
AU - Arbelaitz, O.
AU - Gurrutxaga, I.
AU - Lojo, A.
AU - Muguerza, J.
AU - M. Pérez, J.
AU - Perona, I.
PY - 2012
SP - 71
EP - 80
DO - 10.5220/0004090400710080
PB - SciTePress

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