Web personalization based on artificial psychology

Authors:
Quan Lu;Jing Chen;Bo Meng
Affiliations:
School Of Information Management, Wuhan University, Wuhan, P.R. China;Department Of Computer Science, Central China Normal University, Wuhan, P.R. China;School Of Computer Science, Wuhan University, Wuhan, P.R. China
Venue:
WISE'06 Proceedings of the 7th international conference on Web Information Systems
Year:
2006

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Abstract

Web personalization is one of the most popular ways of increasing traffic at web sites. Usage-based Web personalization is widely applied today. But most Web personalization systems based on usage require much recourse such as time and memory and are not too reasonable. In this paper we describe an approach to psychology-based Web personalization taking into account the full spectrum of Web mining techniques and activities. Our approach is described by the architecture shown in Figure 1, which heavily uses data mining techniques, thus making the personalization process both automatic and dynamic, and hence up-to-date. Artificial psychology techniques are used to support more effective and more precise transaction clustering.