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A web usage lattice based mining approach for intelligent web personalization

Baoyao Zhou (School of Computer Engineering, Nanyang Technological University, BLK N4, #02a‐2, Nanyang Avenue, Singapore 639798)
Siu Cheung Hui (School of Computer Engineering, Nanyang Technological University, BLK N4, #02a‐2, Nanyang Avenue, Singapore 639798)
Alvis C. M. Fong (School of Computer Engineering, Nanyang Technological University, BLK N4, #02a‐2, Nanyang Avenue, Singapore 639798)

International Journal of Web Information Systems

ISSN: 1744-0084

Article publication date: 1 August 2005

352

Abstract

With the explosive growth of information available on the World Wide Web, it has become much more difficult to access relevant information from the Web. One possible approach to solve this problem is web personalization. In this paper, we propose a novel WUL (Web Usage Lattice) based mining approach for mining association access pattern rules for personalized web recommendations. The proposed approach aims to mine a reduced set of effective association pattern rules for enhancing the online performance of web recommendations. We have incorporated the proposed approach into a personalized web recommender system known as AWARS. The performance of the proposed approach is evaluated based on the efficiency and the quality. In the efficiency evaluation, we measure the number of generated rules and the runtime for online recommendations. In the quality evaluation, we measure the quality of the recommendation service based on precision, satisfactory and applicability. This paper will discuss the proposed WUL‐based mining approach, and give the performance of the proposed approach in comparison with the Apriori‐based algorithms.

Keywords

Citation

Zhou, B., Cheung Hui, S. and Fong, A.C.M. (2005), "A web usage lattice based mining approach for intelligent web personalization", International Journal of Web Information Systems, Vol. 1 No. 3, pp. 137-146. https://doi.org/10.1108/17440080580000089

Publisher

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Emerald Group Publishing Limited

Copyright © 2005, Emerald Group Publishing Limited

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