Usage Profile Based Recommendation System

Web Usage Mining (WUM) is used to analyze the web user behavior and navigation pattern by the automatic discovery of the web user patterns. Presently WUM has been widely used in building the recommendation systems. Web recommendation system is a specific type of information filtering system that aims to predict the user next browsing activity and then recommend to the user web pages items that are likely to be of interest to the user. In this paper, a new recommendation system is proposed to predict the user´s navigational behavior. The practical implementation of this algorithm shows that the prediction of user intuition capturing is more accurate.