참고문헌 (18)

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8. Goldstein, D. G. and D. C. Goldstein, "Profiting from the Long Tail", Harvard Business Review, June 2006. 

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14. Park, D. H., H. K. Kim, I. Y. Choi, and J. K. Kim, "A Literature Review and Classification of Recommender Systems on Academic Journals", Journal of Intelligence and Information Systems, Vol.17, No.1(2011), 139- 152. 

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15. Sahoo, N., R. Krishnan, G. Duncan, and J. Callan, "The Halo Effect in Multicomponent Ratings and Its Implications for Recommender Systems : The Case of Yahoo! Movies", Information Systems Research, Vol.23, No.1(2012), 231-246. 

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16. Sarwar, B., G. Karypis, J. A. Konstan, and J. Riedl, "Item-Based Collaborative Filtering Recommendation Algorithms", Proc. of the 10th International World Wide Web Conference, 2001. 

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18. Zhang, M. and N. Hurley, "Avoiding monotony : improving the diversity of recommendation lists", Proc. of the 2nd ACM Conference on Recommender Systems, (2008), 123-130. 

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