Enhancing Web Caching Using Web Usage Mining Techniques

Abstract

Performance and other service quality attributes are crucial to user satisfaction of web services. Web Mining provides the key to understanding web traffic behavior, which in turn explain the increasing interest in this domain and its high number of its possible applications. In this paper, we apply Web Usage Mining techniques to propose an intelligent caching solution with the goal of improving the quality of service of web sites. We found that empowering caching with a prefetching engine that predicates the components of pages to be used in the near future by users can enhance web sites performances. This is allowed by analyzing the historical of navigation of a web site reported in log files and by determining the set of components to be sollicitated in the future using frequent closed itemsets. © Springer-Verlag Berlin Heidelberg 2010.