References
- 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
- 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. https://doi.org/10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9
- 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. https://doi.org/10.1016/j.eswa.2013.11.010
- 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. https://doi.org/10.1016/j.eswa.2007.01.045
- 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. https://doi.org/10.5120/15279-4033
- 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. https://doi.org/10.1016/j.eswa.2009.12.061
- 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. https://doi.org/10.1142/S0218213008003789
- 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. https://doi.org/10.1016/j.cor.2010.03.011
- Yang, W. and J. Dia, "Discovering cohesive subgroups from social networks for targeted advertising," Expert Systems with Applications, Vol. 34, 2008, 2029-2038. https://doi.org/10.1016/j.eswa.2007.02.028
Cited by
- 사회연결망 분석을 활용한 연관규칙 확장기법 vol.23, pp.4, 2016, https://doi.org/10.13088/jiis.2017.23.4.111
- 카테고리 연관 규칙 마이닝을 활용한 추천 정확도 향상 기법 vol.26, pp.2, 2016, https://doi.org/10.13088/jiis.2020.26.2.027
- 네트워크 중심성 척도가 추천 성능에 미치는 영향에 대한 연구 vol.27, pp.1, 2021, https://doi.org/10.13088/jiis.2021.27.1.023