참고문헌
- 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. https://doi.org/10.1109/TKDE.2005.99
- Aggarwal, C. C., Z. Sun, and P. S. Yu, "Online Algorithms for Finding Profile Association Rules", Proceedings of the seventh international conference on Information and Knowledge Management, (1998), 86-95.
- Aggarwal, C. C. and P. S. Yu, "Data mining techniques for personalization", Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, Vol.23(2000), 4-9.
- Billsus, D. and M. J. Pazzani, "Learning collaborative information filters", Proceedings of the 15th International Conference on Machine Learning, (1998), 46-54.
- Bonacich, P., "Power and Centrality:A Family of Measures", American Journal of Sociology, Vol. 92(1987), 1170-1182. https://doi.org/10.1086/228631
- Borgatti, S. P., "Centrality and network flow", Social Networks, Vol.27, No.1(2005), 55-71. https://doi.org/10.1016/j.socnet.2004.11.008
- Borgatti, S. P. and M. G. Everett, "A Graph-theoretic perspective on centrality", Social Networks, Vol.28(2006), 466-484. https://doi.org/10.1016/j.socnet.2005.11.005
- Cho, Y. H. and J. H. Bang, "Social Network Analysis for New Product Recommendation", Asia Pacific Journal of Intelligent Technology and Management, Vol.15, No.4(2009), 123-140.
- Cho, Y. H. and I. H. Kim, "Predicting the Performance of Recommender Systems through Social Network Analysis and Artificial Neural Network", Asia Pacific Journal of Intelligent Technology and Management, Vol.16, No.4 (2010), 159-172.
- Cho, Y. H. and J. K. Kim, "Application of Web usage mining and product taxonomy to collaborative recommendations in e-commerce", Expert Systems with Applications, Vol.26, No.3(2004), 234-246.
- Choi, S. S., S. H. Cha, and C. Tappert, "A Survey of Binary Similarity and Distance Measures", Journal on Systemics, Cybernetics and Informatics, Vol.8, No.1(2010), 43-48.
- Costenbader, E. and T. W. Valente, "The stability of centrality measures when networks are sampled", Social Networks, Vol.25(2003), 283-307. https://doi.org/10.1016/S0378-8733(03)00012-1
- Frank, O., "Using centrality modeling in network surveys", Social Networks, Vol.24(2002), 385-394. https://doi.org/10.1016/S0378-8733(02)00014-X
- Freeman, L., "Centrality in Social Networks: Conceptual clarification", Social Networks, Vol.1(1979), 215-239.
- Huang, Z., H. Chen, and D. Zeng, "Applying Associative Retrieval Techniques to Alleviate the Sparsity Problem in Collaborative Filtering", ACM Transactions on Information Systems, Vol.22, No.1(2004), 116-142. https://doi.org/10.1145/963770.963775
- Human, S. E. and K. G. Provan, "Legitimacy Building in the Evolution of Small-Firm Multilateral Networks:A Comparative Study of Success and Demise", Administrative Science Quarterly, Vol.45, No.2(2000), 327-365. https://doi.org/10.2307/2667074
- Kauffiman, S., The Origins of Order, Oxford University Press, 1993.
- Kim, H. K., Y. U. Ryu, Y. H. Cho, and J. K. Kim, "Customer-Driven Content Recommendation over a Network of Customers", IEEE Transactions on Systems, Man, and Cybernetics-Part A:Systems and Humans, Forthcoming, 2011.
- Kim, J. K. and Y. H. Cho, "Using Web Usage Mining and SVD to Improve E-commerce Recommendation Quality", LNAI, Vol.2891 (2003), 86-97.
- Krulwich, B., "Lifestyle Finder:Intelligent User Profiling Using Large-Scale Demographic Data", Artificial Intelligence Magazine, Vol. 18, No.2(1997), 37-45.
- Kukkonen, H. O., K. Lyytinen, and Y. J. Yoo, "Social Networks and Information System s:Ongoing and Future Research Streams", Journal of the Association for Information Systems, Vol.11(2010), 61-68.
- Lee, S. K., Y. H. Cho, and S. H. Kim, "Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations", Information Sciences, Vol.180, No.11 (2010), 2142-2155. https://doi.org/10.1016/j.ins.2010.02.004
- Melville, P., R. J. Mooney, and R. Nagarajan, "Content-boosted Collaborative Filtering", Proceeding SIGIR 2001 Workshop on Recommender Systems, 2001.
- Park, J. H., Y. H. Cho, and J. K. Kim, "Social Network:A Novel Approach to New Customer Recommendations", Asia Pacific Journal of Intelligent Technology and Management, Vol.15, No.1(2009), 123-140.
- Park, S. T., Pennock, O. Madani, N. Good, and D. DeCoste, "Naive Filterbots for Robust Cold-Start Recommendations", KDD, 2006.
- Ryu, Y. U., H. K. Kim, Y. H. Cho, and J. K. Kim, "Peer-oriented content recommendation in a social network", Proceedings of the Sixteenth Workshop on Information Technologies and Systems, (2006), 115-120.
- Sarwar, B., G. Karypis, J. A. Konstan, and J. Riedl, "Analysis of recommendation algorithms for e-commerce", Proceedings of ACM E-commerce 2000 conference, (2000), 158-167.
- Sarwar, B., G. Karypis, J. A. Konstan, and J. Riedl, "Application of Dimensionality Reduction in Recommender Systems-A Case Study", Proceedings of ACM WebKDD Workshop, 2000.
- Schein, A. I., A. Popescul, D. M. Pennock, and L. H. Ungar, "Methods and Metrics for Cold-Start Recommendations", SIGIR, 2002.
- Scott, J., Social Network Analysis:A Handbook. Thousand Oaks, CA:Sage, 2000.
- Wasserman, S. and K. Faust, Social network analysis: methods and applications, Cambridge University Press, 1994.
- Weare, C., W. E. Loges, and N. Oztas, "Email Effects on the Structure of Local Associations: A Social Network Analysis", Social Science Quarterly, Vol.88, No.1(2007), 222-243. https://doi.org/10.1111/j.1540-6237.2007.00455.x
- Yu, K., A. Schwaighofer, V. Tresp, X. Xu, and H. Kriegel, "Probabilistic Memory-based Collaborative Filtering", IEEE Transactions on Knowledge and Data Engineering, Vol. 16, No.1(2004), 56-69. https://doi.org/10.1109/TKDE.2004.1264822
- Zemljic, B. and V. Hlebec, "Reliability of measures of centrality and prominence", Social Networks, Vol.27(2005), 73-88. https://doi.org/10.1016/j.socnet.2004.11.010
피인용 문헌
- The Effect of the Personalized Settings for CF-Based Recommender Systems vol.18, pp.2, 2012, https://doi.org/10.13088/jiis.2012.18.2.131
- Clustering Method based on Genre Interest for Cold-Start Problem in Movie Recommendation vol.19, pp.1, 2011, https://doi.org/10.13088/jiis.2013.19.1.057
- 구조적 공백과 협업필터링을 이용한 추천시스템 vol.20, pp.4, 2014, https://doi.org/10.13088/jiis.2014.20.4.107
- 이차원 고객충성도 세그먼트 기반의 고객이탈예측 방법론 vol.26, pp.4, 2020, https://doi.org/10.13088/jiis.2020.26.4.111
- 네트워크 중심성 척도가 추천 성능에 미치는 영향에 대한 연구 vol.27, pp.1, 2021, https://doi.org/10.13088/jiis.2021.27.1.023