Brusilovsky Edits Text

Peter Brusilovsky, Associate Professor at SIS, has edited a text about one of the fastest growing fields in Information Science – adaptive Web systems.  Brusilovsky, together with Alfred Kobsa and Wolfgang Nejdl, gathered a series of chapters that provide a solid overview of the ideas and techniques of the adaptive Web.  The publication, “The Adaptive Web:  Methods and Strategies of Web Personalization,” is published by Springer and is intended for graduate students and for researchers new to this Web personalization field.

This comprehensive collection maps out some of the most significant areas of this topic, written by experts and leaders in the field.  The book focuses on personalization techniques, concentrating on the modeling side of personalization and on adaptation technologies.  Topics covered include user profiles for personalized access, data mining for web personalization, adaptive focused crawling, content-based crawling, and hybrid web recommender systems.  The text goes on to discuss applications (for example, personalization in e-Commerce applications) and emerging topics such as privacy-enhanced personalization, semantic web technologies and usability engineering for the adaptive web, and open corpus adaptive educational hypermedia. 

The book, a tool box for researchers and users, incorporates chapters by 42 authors who are leaders in this field from Europe and the United States.  It is edited by Peter Brusilovsky, Associate Professor, School of Information Sciences, University of Pittsburgh; Alfred Kobsa, Professor in the Donald Bren School of Information and Computer Sciences of the University of California, Irvine; and Wolfgang Nejdl, Professor of Computer Science, University of Hannover.  It is published as part of the “Lecture Notes in Computer Science” series by Springer.