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Publications Related to Collaborative Filtering

  1. Towards a Scalable kNN CF Algorithm: Exploring Effective Applications of clustering. Al Mamunur Rashid, Shyong K. Lam, Adam LaPitz, George Karypis, and John Riedl.  In “Web Mining and Web Usage Analysis”, O. Nasraoui, et. al. (editors), Springer, 2008.

  1. ClustKNN: A Highly Scalable Hybrid Model- and Memory-Based CF Algorithm.

    Al Mamunur Rashid, Shyong K. Lam, George Karypis, and John Riedl.&nbsp WEBKDD, 2006.

  1. Influence in Ratings-Based Recommender Systems: An Algorithm-Independent Approach. Al Mamunur Rashid, George Karypis, and John Riedl.  SIAM International conference on Data Mining, 2005.

  1. Feature-Based Recommendation System. Eui-Hong (Sam) Han and George Karypis.  Proceedings of the 14th Conference of Information and Knowledge Management (CIKM), pp. 446 - 452, 2005.

  1. Item-Based Top-N Recommendation Algorithms. Mukund Deshpande and George Karypis.  ACM Transactions on Information Systems. Volume 22, Issue 1, pp. 143 - 177, 2004.

  1. Recommender Systems for Large-Scale E-Commerce: Scalable Neighborhood Formation Using Clustering. Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl.  5th International Conference on Computer and Information Technology (ICCIT), 2002.

  1. Incremental SVD-Based Algorithms for Highly Scalable Recommender Systems. Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl.  5th International Conference on Computer and Information Technology (ICCIT), 2002.

  1. When being Weak is Brave: Privacy Issues in Recommender Systems. N. Ramakrishnan, B. J. Keller, B. J. Mirza, A. Y. Grama, and G. Karypis.  IEEE Internet Computing, 54 - 62, Vol 5, No. 6, 2001.

  1. Item-Based Collaborative Filtering Recommendation Algorithms. Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl.  WWW10, pp. 285 - 295, 2001.

  1. Evaluation of Item-Based Top-N Recommendation Algorithms. George Karypis.  10th Conference of Information and Knowledge Management (CIKM), pp. 247 - 254, 2001.

  1. Analysis of Recommendation Algorithms for E-Commerce. Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl.  2nd ACM Conference on Electronic Commerce, pp. 158-167, 2000.

  1. Application of Dimensionality Reduction in Recommender System A Case Study. Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl.  WebKDD-2000 Workshop, 2000.