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NTIS 바로가기지능정보연구 = Journal of intelligence and information systems, v.22 no.4, 2016년, pp.1 - 18
김민건 (유세스파트너스(주)) , 김경재 (동국대학교, 서울 경영대학 경영정보학과)
Collaborative Filtering (CF) predicts the focal user's preference for particular item based on user's preference rating data and recommends items for the similar users by using them. It is a popular technique for the personalization in e-commerce to reduce information overload. However, it has some ...
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Adomavicius, G. and A. Tuzhilin, "Toward the next generation of recommender systems : A survey of the state-of-the-art and possible extensions," IEEE Transactions on Knowledge and Data Engineering, Vol.17, No.6(2005), 734-749.
Billsus, D. and M. J. Pazzani, "Learning Collaborative Information Filters," In Proceedings of Recommender Systems Workshop. Tech. Report WS-98-08, AAAI Press, 1998, 46-54,
Cho, Y. and J. Bang, "Social network analysis for new product recommendation," Journal of Intelligence and Information Systems, Vol.15, No.4(2009), 183-200.
Debnath, S., M. Granguly, and P. Mitra, "Feature weighting based recommendation system using social network analysis", Proceeding of WWW 2008, 2008, 1041-1042.
Deerwester, S., S. RT. Dumais, G. W. Furnas, T. K. Landauer, and R. Harshman, "Indexing by Latent Semantic Analysis," Journal of the American Society for Information Science, Vol.41, 1990, 391-407.
Funakoshi, K. and T. Ohguri, "A Content-based collaborative recommender system with detailed use of evaluations," Proceedings of the 4th International conference on knowledge-based Intelligent Engineering systems and Allied Technologies, 2000, 253-256.
Funk, S., "Netflix Update: Try This At home," http://sifter.org/-simon/journal/20061211.html, 2006
Ghazanfar, M. A. and A. Pr"ugel-Bennett, "Leveraging Clustering Approaches to Solve the Gray-Sheep Users Problem in Recommender Systems," Expert Systems with Applications, Vol.41, No.7(2014), 3261-3275.
Golbeck, J. and J. Hendler, "Filmtrust: Movie recommendations using trust in web-based social networks," Proceedings of the IEEE Consumer Communications and Networking Conference, 2006, 282-286.
Gorrell, G. and S. Funk, "Generalized hebbian algorithm for incremental latent semantic analysis," Proceedings of Interspeech, 2006, 1325-1328.
Jyun-Cheng, W., and C. Chui-Chen, "Recommending trusted online auction sellers using social network analysis", Expert Systems with Applications, Vol. 34, 2008, 1666-1679.
Kang, B. -S., "A novel web recommendation method for new customers using structural holes in social networks," Journal of Industrial Economics and Business, Vol.23, No.5(2010), 2371-2385.
Kang, B. -S., "Structural hole of social network analysis for recommending new items," Journal of the Korean Data Analysis Society, Vol. 13, No. 3(B), 1365-1377.
Kim, K. and H. C. Ahn, "Hybrid recommender systems using cluster-indexing collaborative filtering and social network analysis", Proceedings of the 2010 Fall Conference of Korean Management Information Systems Society, 2010, 604-609.
Kim, M. G. and K. Kim, "Recommender systems using structural hole and collaborative filtering," Journal of Intelligence and Intelligent Systems, Vol.20, No.4(2014), 107-120.
Kim, Y. S., H. C. Lee, and H. J. Chun, "Development of hybrid recommender systems in e-commerce using SVD", Journal of Korea Society of Supply Chain Management, Vol.2, No.1(2002), 21-30.
Koren, Y., "Factorization meets the neighborhood: a multifaceted Collaborative filtering model," Proceedings of the 14th ACM SIGKDD international Conference on Knowledge Discovery and Data Mining, 2008, 426-434.
Koren, Y. and R. Bell, "Advances in collaborative filtering," Recommender Systems Handbook, Edited by Ricci, F., L. Rokach, B. Shapira, and P. B. Kantor, Springer US, 2011 145-186.
Kumar, R., B. K. Verma, and S. S. Rastogi, "Social popularity based SVD++ recommender system," International Journal of Computer Applications, Vol.87, No.14(2014), 33-37.
Lee, H. D. and H. J. Kim, "Improving Collaborative Filtering with Rating Prediction Based on Taste Space", Journal of KIISE: Database, Vol.34, No.5(2007), 389-395.
Liu, F. and H. J. Lee, "Use of social network information to enhance collaborative filtering performance," Expert Systems with Applications, Vol. 37, 2010 4772-4778.
Park, J. H., Y. H. Cho, and J. K. Kim, "Social network: a novel approach to new customer recommendations", Journal of Intelligence and Intelligent Systems, Vol.15, No.1(2009), 123-140.
Paterek, A., "Improving regularized singular value decomposition for collaborative Filtering," KDD-Cup and Workshop, ACM press, 2007, 39-42,
Ricci, F., L. Rokach, B. Shapira, and P.B. Kantor, "Recommender Systems Handbook", Springer, 2011
Sarwar, B., G. Karypis, J. Konstan, and J. Riedl, "Application of dimensionality reduction in recommender systems-a case study," In ACM WebKDD Workshop, 2000
Su, X. and T. M. Khoshgoftaar, "Collaborative Filtering for Multi-Class Data Using Bayesian Networks," International Journal on Artificial Intelligence Tools, Vol.17, No.1(2008), 71-85.
Wang, H. F. and C. T. Wu, "A Strategy-oriented Operation Module for Recommender Systems in E-commerce," Computers and Operations Research, Vol.39, No.10, 2012, 1837-1849.
Yang, W. and J. Dia, "Discovering cohesive subgroups from social networks for targeted advertising," Expert Systems with Applications, Vol. 34, 2008, 2029-2038.
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