Adaptive Web, The: Methods and Strategies of Web Personalization. Lecture Notes in Computer Science, 4321.

Web personalization has evolved into a large research field that attracts scientists from different communities such as hypertext, user modeling, machine learning, natural language generation, information retrieval, intelligent tutoring systems, cognitive science, and Web-based education. This state-of-the-art survey provides a systematic overview of the ideas and techniques of the adaptive Web and serves as a central source of information for researchers, practitioners, and students. The volume constitutes a comprehensive and carefully planned collection of chapters that map out the most important areas of the adaptive Web, each solicited from the experts and leaders in the field. The largest part of the book focuses on personalization techniques, namely the modeling side of personalization and on adaptation. This technique-focused part is complemented by four domain-oriented chapters. The book also details recently emerging topics; it provides a prospective view to new ideas and techniques that are moving rapidly into the focus of the adaptive Web community and have to be included as a glimpse into a not so distant future.