Building Recommendation System based on user-based and item-based collaborative filtering approaches.
The Book-Crossing dataset is a collection of user ratings of books. It comes with both explicit ratings (1-10 stars) and implicit ratings (user interacted with the book). The data was compiled by Cai-Nicolas Ziegler of IIF and can be found here.
More information about the data is available in Ziegler et al.:
Improving Recommendation Lists Through Topic Diversification. Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Konstan, Georg Lausen; Proceedings of the 14th International World Wide Web Conference (WWW '05), May 10-14, 2005, Chiba, Japan. To appear.
The scripts to work with the Book-Crossing dataset are located here.