[ Formal Data | Syllabus | Readings | Course Materials | Course Tools]
The following book will serve as the main course book. Almost all readings will be assigned from it. This book have been reserved for you at the Pitt ULS.
|The Adaptive Web: Methods and Strategies of Web Personalization.
Brusilovsky, P., Kobsa, A., Neidl, W. (eds.)
Lecture Notes in Computer Science, Vol. 4321. Springer-Verlag, Berlin, 2007.
The following books can serve as a good complement to the main course book. The first two extend the Recommender Systems component and the remaining two show how many techniques presented in the course book on conceptual level can be programmed using Python or Java introducing key concepts in a very clear and development-oriented way.
|Recommender Systems Handbook
Ricci, F.; Rokach, L.; Shapira, B.; Kantor, P.B. (Eds.)
Springer-Verlag, Berlin, 2011
Recommender Systems: An Introduction
|Programming Collective Intelligence: Building Smart Web 2.0 Applications
|Collective Intelligence in Action
Manning Publications, 2008
Copyright © 2015 Peter Brusilovsky