1 |
X. Amatrian, N. Lathia, J. M. Pujol, H. Kwak, and N. Oliver. "The Wisdom of The Few: A Collaborative Filtering Approach Based On Expert Opinions From The Web," Proceedings of the 32nd international ACMSIGIR conference on Research and development in information retrieval (SIGIR'09). pp. 532-539. 2009.
|
2 |
S. Song, S. Lee, S. Park, and S.-g. Lee. "Determining User Expertise For Improving Recommendation Performance," Proceedings of the 6th International Conference on Ubiquitous Information and Communication 2012 (ICUIMC 2012). 2012.
|
3 |
Z. Xia, Y. Dong and Y. Xing. "Support Vector Machines For Collaborative Filtering," Proceedings of the 44th Annual Southeast Regional Conference. pp. 169-174, 2006.
|
4 |
J. A, Xu and K. Araki. "A SVM-based Personal Recommendation System for TV Programs," Proceedings of the 12th Internaional Conference on Multi Media Modeling (MMM 2006). 2006.
|
5 |
Z. Wen. (2008, December 12). "Recommendation System Based on Collaborative Filtering". Available: http://cs229.stanford.edu/proj2008/Wen-RecommendationSystemBasedOnCollaborativeFiltering.pdf. 2008. [Accessed: Sep. 15. 2012]
|
6 |
S. Min and I. Goo. "Recommender Systems Using Support Vector Machines" Proceedings of the 5th Internaional Conference on Web Engineering (ICWE 2005). pp. 387-393, 2005.
|
7 |
V. N. Vapnik. The Nature of Statistical Learning Theory. Springer-Verlag. 1995.
|
8 |
Z. Zabinsky. (2009, April 5). "Random Search Algorithm". Available: http://courses.washington.edu/inde510/516/RandomSearch4.05.2009.pdf. 2009. [Accessed: Sep. 15. 2012]
|
9 |
R. Bell and Y. Koren, "Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights," Proceedings of the 2007 Seventh IEEE Internaional Conference on Data Mining (ICDM'07). pp. 43-52. 2007.
|
10 |
J. Herlocker, J. Konstan, L. Terveen, and J. Riedl, "Evaluating collaborative filtering recommender systems," ACM Transactions on Information Systems (TOIS) . Vol. 22. no. 1. pp. 5-53. 2004.
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|