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182E-<strong>Commerce</strong>Lee, H., Lee, S., Chung, Y. (2007b). An Improved Algorithm for Collaborative FilteringRecommender System, ACIS International Journal of Computer & Information Science,vol. 8, no. 3, pp. 444-453, ISSN: 1525-9293.Lee, S., Kim, S. and Lee, H. (2007). Pre-Evaluation for Detecting Abnormal Users inRecommender System, Journal of the Korean Data & Information Science Society, vol.18, no. 3, pp. 619-628, ISSN: 1598-9402.Linden, G., Smith, B. and York, J. (2003). Amazon.com Recommendations: Item-to-ItemCollaborative Filtering, IEEE Internet Computing, vol. 7, no. 1, pp.76-80, ISSN: 1089-7801.Popescul, A., Ungar, L., Pennock, D. and Lawrence, S. (2001). Probabilistic Models forUnified Collaborative and Content-Based Recommendation in Sparse-DataEnvironments, Proceedings of the 17th Conference on Uncertainty in ArtificialIntelligence, ISBN: 1-55860-800-1, pp. 437-444, Aug., Seattle, WA .Resnick, P., Iacovou, N., Suchak, M., Bergstorm, P. and Riedl, J. (1994). GroupLens: An OpenArchitecture for Collaborative Filtering of Netnews, Proceedings of ACM 1994Conference on Computer Supported Cooperative Work, ISBN: 0-89791-689-1, pp. 175-186,Oct., Chapel Hill, NC.Schafer, J., Konstan, J. and Riedi, J. (1999). Recommender systems in e-commerce, Proceedingsof the 1st ACM conference on Electronic commerce, ISBN: 1-58113-176-3, pp.158-166,Nov., Denver, Colorado.Tukey, J. (1977). Exploratory Data Analysis, Addison-Wesley, ISBN: 0-201-07616-0.

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