ClustKNN: A Highly Scalable Hybrid Model- & Memory-Based CF Algorithm, Rashid, A.M.; Lam, S.K.; Karypis, G.; Riedl, J. , WEBKDD 2006, 20/08/2006, Philadelphia Pennsylvania, (2006) Abstract

Influence in Ratings-Based Recommender Systems: An Algorithm-Independent Approach, Al Mamunur Rashid, G.K.; Riedl, J. , SIAM International Conference on Data Mining, Newport Beach, CA, (2005)

Incremental SVD-Based Algorithms for Highly Scaleable Recommender Systems, Sarwar, B.M.; Karypis, G.; Konstan, J.; Riedl, J. , Fifth International Conference on Computer and Information Technology, (2002) Abstract

Recommender Systems for Large-Scale E-Commerce: Scalable Neighborhood Formation Using Clustering, Sarwar, B.M.; Karypis, G.; Konstan, J.A.; Riedl, J. , The Fifth International Conference on Computer and Information Technology (ICCIT 2002), (2002)

Item-based collaborative filtering recommendation algorithms, Sarwar, B.M.; Karypis, G.; Konstan, J.A.; Riedl, J. , 10th International World Wide Web Conference, (2001) Abstract

Applications of Dimensionality Reduction in Recommender Systems - - A Case Study, Sarwar, B.M.; Karypis, G.; Konstan, J.A.; Riedl, J. , ACM WebKDD 2000 Web Mining for E-Commerce Workshop, (2000) Abstract