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Authors: Seema Jani 1 ; Sam Makki 1 and Xiaohua Jia 2

Affiliations: 1 University of Toledo, United States ; 2 City University of Hong Kong, Hong Kong

ISBN: 972-8865-19-8

Keyword(s): Web personalization, Data mining, Graph, Probability, Clustering

Related Ontology Subjects/Areas/Topics: Databases and Information Systems Integration ; Enterprise Information Systems ; Web Databases

Abstract: This paper implements a novel approach defined as the Preference-function Algorithm (PFA) for web-site adaptation. The algorithm extracts future preferences from the users’ past web navigational activities. Server web logs are used to identify users’ navigation behaviours by examining the traverses of various web pages. In this approach, the sessions are modeled as a finite state graph, where each visited web page is defined as a state. Then, traversing among various states provides the framework for determining the interest of the users.

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Paper citation in several formats:
Jani S.; Makki S.; Jia X. and (2005). AN EFFICIENT APPROACH FOR WEB-SITE ADAPTATION.In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 972-8865-19-8, pages 108-114. DOI: 10.5220/0002521501080114

@conference{iceis05,
author={Seema Jani and Sam Makki and Xiaohua Jia},
title={AN EFFICIENT APPROACH FOR WEB-SITE ADAPTATION},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2005},
pages={108-114},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002521501080114},
isbn={972-8865-19-8},
}

TY - CONF

JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - AN EFFICIENT APPROACH FOR WEB-SITE ADAPTATION
SN - 972-8865-19-8
AU - Jani, S.
AU - Makki, S.
AU - Jia, X.
PY - 2005
SP - 108
EP - 114
DO - 10.5220/0002521501080114

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