Dimensionality reduction via self-organizing feature maps for collaborative filtering

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn , Issue , 2007, Pages 1941-1946

  Pariser, Andrew R ^a   Miranker, Willard ^a  

^a YALE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INPUT SPACES; JOINT CONFERENCE;

ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER NETWORKS; CONFORMAL MAPPING; MOTION PICTURES; PRINCIPAL COMPONENT ANALYSIS; SIGNAL FILTERING AND PREDICTION; STRENGTH OF MATERIALS;

NEURAL NETWORKS;

EID: 51749089770     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2007.4371255     Document Type: Conference Paper

References (7)

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3. th Ed. (Hoboken, NJ: John Wiley & Sons, Inc., 1999).
4. P. Melville, R.J. Mooney and R. Nagarajan, "Content-Boosted Collaborative Filtering for Improved Recommendations" in Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI, 2002), pp. 187-192, Edmonton, Canada, July 2002.
5. M. O'Connor and J. Herlocker, "Clustering Items for Collaborative Filtering" in Proceedings of the ACM SIGIR Workshop on Recommender Systems, Berkeley, CA, 1999.
6. G.R. Xue, C. Lin, Q. Yang, et. Al., "Scalable Collaborative Filtering Using Cluster-based Smoothing" in Proceedings of the 2005 ACM SIGIR Conference, Salvador, Brazil, 2005, pp. 114-121.
7. T. Hastie, R. Tibshirani and J. Friedman, The Elements of Statistical Learning (New York, NY: Springer , 2001).