ABSTRACT
The goal of Web recommendation and personalization techniques is to “provide users with the information they want or need, without expecting from them to ask for it explicitly”[19]. Web Mining has shown to be a viable technique to discover information
“hidden” in Web-related data [11]. In particular, Web Usage Mining (WUM) is the process of extracting knowledge from Web user’s access data (or clickstream) by exploiting Data Mining (DM) technologies [14]. It can be used for different purposes such as recommendation, personalization, system improvement and site optimization.
