基于web使用挖掘技术的web个性化系统

WWW Alt. '04 Pub Date : 2004-05-19 DOI:10.1145/1013367.1013439

Massimiliano Albanese, A. Picariello, Carlo Sansone, Lucio Sansone

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引用次数: 37

摘要

在过去的几年里，随着web的爆炸式增长，web使用挖掘技术在研究和商业领域都得到了迅速的发展。在这项工作中，我们提出了一种基于新的模式识别策略的Web个性化挖掘策略，该策略对静态和动态特征进行分析和分类。在一个大型商业网站数据上的实验结果表明了该系统的有效性。

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A web personalization system based on web usage mining techniques

In the past few years, web usage mining techniques have grown rapidly together with the explosive growth of the web, both in the research and commercial areas. In this work we present a Web mining strategy for Web personalization based on a novel pattern recognition strategy which analyzes and classifies both static and dynamic features. The results of experiments on the data from a large commercial web site are presented to show the effectiveness of the proposed system.

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WWW Alt. '04

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