Web prediction using online support vector machine

Abstract

In this paper, a SVM-based online learning algorithm is proposed and applied to the problem of Web prediction. A method to construct an online LS-SVM multi-class learning model has been presented. This method is able to capture the inherent sequentiality of Web visits and successfully predict the future accesses. The experimental results show the effective performance of our method