An agent based method for Web page prediction

Abstract

Studies have been conducted on pre-fetching models based on decision trees, Markov chains, and path analysis. However, the increased uses of dynamic pages, frequent changes in site structure and user access patterns have limited the efficacy of these static techniques. One of the techniques that are used for improving user latency is Caching and another is Web pre-fetching. Approaches that bank solely on caching offer limited performance improvement because it is difficult for caching to handle the large number of increasingly diverse files. An agent based method is proposed here to cluster related pages into different categories based on the access patterns. Additionally page ranking is used to build up the prediction model at the initial stages when users are yet to invoke any page. © Springer-Verlag Berlin Heidelberg 2007.