An adaptive system for the personalized access to news

Personalization is one of the keys for the success of web services. In this paper we present SeAN (Server for Adaptive News), an adaptive system for t he personalized access to news servers on the WWW. The aims of the system a re (i) to select the sections (topics) and news in the server that are most relevant for each user, (ii) to customize the detail level of each news it em to the user's characteristics and (iii) to select the advertisements tha t are most appropriate for each pace and user. In the paper we discuss the functionalities of the system and we present the choices we made in its des ign. In particular, we focus on the techniques we adopted for structuring t he news archive, for creating and maintaining the user model and for genera ting the personalized hypertext for browsing the news server.