The Web emerges as both a technical and a social phenomenon. It affects business,
everybody's life and leads to considerable social implications. In this scenario, Web
personalization arises as a powerful tool to meet the needs of daily users and make the
Web a friendlier environment. Web personalization includes any action that adapts the
information or services provided by a Web site to the needs of users, taking advantage
of the knowledge gained from the users' navigational behavior and individual interests,
in combination with the content and the structure of the Web site. In other words, the
aim of a Web personalization system is to provide users with the information they
want or need, without expecting them to ask for it explicitly. The personalization
process covers a fundamental role in an increasing number of application domains
such as e-commerce, e-business, adaptive web systems, information retrieval.
Web is evolving at a speed never experienced by any other discipline before. This research book includes a sample of new research directions on Web personalization in intelligent environments. The contributions include an Introduction to Web Personalization, Semantic Content-based Recommender System, Exploiting ontologies for Web search personalization , How to Derive Fuzzy User Categories for Web Personalization, A Taxonomy of Collaborative-based Recommender System andA System for Fuzzy Items Recommendation. This book is directed to the researchers, graduate students, professors and practitioner interested in Web personalization.