Preserving Privacy in Web Recommender Systems

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.