D. Stern, R. Herbrich, and T. Graepel. Proceedings of the 18th international conference on World wide web, page 111--120. New York, NY, USA, ACM, (2009)
A. Schein, A. Popescul, L. Ungar, and D. Pennock. Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, page 253--260. New York, NY, USA, ACM, (2002)
N. Liu, and Q. Yang. Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, page 83--90. New York, NY, USA, ACM, (2008)
L. Xiang, and Q. Yang. WI-IAT '09: Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, page 450--457. Washington, DC, USA, IEEE Computer Society, (2009)
N. Lathia, X. Amatriain, and J. Pujol. (2009)Explores ways of adding "external" rating sources from experts in order to improve collaborative filtering results.
Nearest neighbors does not seem to be always the optimal choice..
B. O’Donovan. (2005)introduces the notion of trust in collaborative filtering.
A simple memory based method is used to incorporate trust into a simple similarity based collaborative filtering algorithm. Results on MovieLens seem to be better than standard methods..
F. Walter, S. Battiston, and F. Schweitzer. (2009)cite arxiv:0902.1475
Comment: Revised, added Empirical Validation, submitted to Recommender Systems
2009.