1 |
M. Eirnaki and M. Vazirgiannis, "Web Mining for Web Personalization," ACM Transactions on Internet Technology, Vol. 3, No. 1, pp. 1-27, 2003.
DOI
|
2 |
J. Bobadilla, F. Ortega, A. Hernando, and A. Gutierrez, "Recommender Systems Survey," Knowledge-Based Systems, Vol. 46, pp. 109- 132, 2013.
DOI
|
3 |
J.I. Kim, "A Recommendation Method of Similar Clothes on Intelligent Fashion Coordination System," Journal of Korea Multimedia Society, Vol. 12, No. 5, pp. 688-698, 2009.
|
4 |
G. Linden, B. Smith, and J. York, "Amazon.com Recommendations: Item-to-Item Collaborative Filtering," IEEE Internet Computing, Vol. 7, No. 1, pp. 76-80, 2003.
DOI
|
5 |
S. Breese, D. Heckerman, and C. Kadie, "Empirical Analysis of Predictive Algorithms for Collaborative Filtering," Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, pp.43-52, 1998.
|
6 |
L.M. Campos, J.M. Fernandez-Luna, J.F. Huete, and M.A. Rueda-Morales, "Combining Content-based and Collaborative Recommendations: A Hybrid Approach Based on Bayesian Networks," International Journal of Approximate Reasoning, Vol. 51, Issue 7, pp. 785-799, 2010.
DOI
|
7 |
T. Hofmann, "Latent Semantic Model for Collaborative Filtering," ACM Transactions on Information Systems, Vol. 22, No. 1, pp. 89-115, 2004.
DOI
|
8 |
J.L. Herlocker, J.A. Konstan, A. Borchers, and J. Riedl "An Algorithmic Framework for Performing Collaborative Filtering," Proceeding of Special Interest Group on Information Retrieval , pp. 230-237, 1999.
|
9 |
B. Sarwar, G. Karypis, J. Konstan, and J. Riedl, "Item-based Collaborative Filtering Recommendation Algorithms," Proceedings of the 10th international Conference on World Wide Web , pp. 285-295, 2001.
|
10 |
K. Zagoris, N. Papamarkos, and I. Koustoudis, "Color Reduction Using the Combination of the Kohonen Self-Organized Feature Map and the Gustafson-Kessel Fuzzy Algorithm," Machine Learning and Data Mining in Pattern Recognition, LNAI 4571, pp. 703-715, 2007.
|
11 |
J. Wang, A.P. de Vries, and J.T. Reinders, "Unifying Userbased and Itembased Collaborative Filtering Approaches by Similarity Fusion," Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 6-11, 2006.
|
12 |
MovieLens Dataset, Social Computing Research at the University of Minnesota. http://www.grouplens.org/ (accessed Aug., 20, 2015).
|