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. Categories and Subject Descriptors H.2.8 [Database Management]: Database Applications--Data mining; I.5.3 [Pattern Recognition]: Clustering--Algorithms General Terms Algorithms, Experimentation Keywords Clustering, web personalization, web usage mining

• Type: Conference
• Year: 2004
• Where: WWW
• Authors: Massimiliano Albanese, Antonio Picariello, Carlo Sansone, Lucio Sansone
• Keywords: Internet Technology, Web Mining Strategy, Web Personalization, Web Usage Mining, WWW 2004