참고문헌

1. Zhang, Shuai & Yao, Lina & Sun, Aixin. Deep Learning based Recommender System: A Survey and New Perspectives, ACM J. Comput. Cult. Herit., Vol. 1, No. 1, Article 35, 2017
2. 정수연, 김영국. IoT 환경에서의 베이지안 네트워크를 이용한 추천시스템. 한국컴퓨터정보학회 학술발표논문집 , 24(2), 125-127, 2016
3. Sarwar, B., G. Karypis, J. Konstan and J. Riedl, "Item-based collaborative filtering recommendation algorithms," Proeeding of the 10th International Conference on World Wide Web, 2001, 285-295.
4. Rashid AM, Albert I, Cosley D, Lam SK, McNee SM, Konstan JA et al. Getting to know you: learning new user preferences in recommender systems. In: Proceedings of the international conference on intelligent user interfaces, p.127-134, 2002.
5. Schafer JB, Konstan J, Riedl J. Recommender system in e-commerce. In: Proceedings of the 1st ACM conference on electronic commerce, p.158-166, 1999.
6. Resnick P, Varian HR. Recommender system's. Commun ACM, 40(3), 56-58, 1997.
7. 조윤호, 방정혜, "신상품 추천을 위한 사회연결망 분석의 활용", 지능정보연구, 15권 4호, 183-200, 2009.
8. 전병국, 안현철, "사용자 리뷰 마이닝을 결합한 협업 필터링 시스템: 스마트폰 앱 추천에의 응용", J Intell Inform Syst 2015 June:21(2), p.1-18. https://doi.org/10.13088/jiis.2015.21.2.01
9. 손지은, 김성범, 김현중, 조성준, "추천 시스템 기법 연구동향 분석", 대한산업공학회지 41(2), 185-208, 2015. https://doi.org/10.7232/JKIIE.2015.41.2.185
10. Isinkaye, F. O., Y. O. Folajimi, and B. A. Ojokoh. "Recommendation systems: Principles, methods and evaluation." Egyptian Informatics Journal16.3 (2015): 261-273. https://doi.org/10.1016/j.eij.2015.06.005
11. Michael J. Pazzani , Daniel Billsus, Content-based recommendation systems, The adaptive web: methods and strategies of web personalization, Springer-Verlag, Berlin, Heidelberg, 2007.
12. Billsus D, Pazzani MJ. User modeling for adaptive news access. User Model User-adapted Interact 2000;10(2-3):147-180. https://doi.org/10.1023/A:1026501525781
13. Mooney RJ, Roy L. Content-based book recommending using learning for text categorization. In: Proceedings of the fifth ACM conference on digital libraries. ACM; 2000. p. 195-204.
14. 임일, "R을 이용한 추천 시스템", 카오스북, 2015
15. Schafer JB, Frankowski D, Herlocker J, Sen S. Collaborative filtering recommender systems. In: Brusilovsky P, Kobsa A, Nejdl W, editors. The Adaptive Web, LNCS 4321. Berlin Heidelberg(Germany): Springer; 2007. p. 291-324.
16. 조윤호, 김인환 (2010). 사회연결망분석과 인공신경망을 이용한 추천시스템 성능 예측. 지능정보연구, 16(4), 159-172.
17. Su X, Khoshgoftaar TM. A survey of collaborative filtering techniques. Adv Artif Intell 2009;4:19.
18. Konstan JA, Miller BN, Maltz D, Herlocker JL, Gordon LR, Riedl J. Applying collaborative filtering to usenet news. Commun ACM 1997;40(3):77-87. https://doi.org/10.1145/245108.245126
19. Shardanand U, Maes P. Social information filtering: algorithms for automating ''word of mouth''. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM Press/Addison-Wesley Publishing Co.; 1995. p. 210-217.
20. Linden G, Smith B, York J. Amazon.com recommendation: item-to-item collaborative filtering. IEEE Internet Comput 2003;7(1): 76-80. https://doi.org/10.1109/MIC.2003.1167344
21. Noh, Y., Oh, Y.-H., Park, S.-B.: A location-based personalized news recommendation. In: International Conference on Big Data and Smart Computing (BIGCOMP), pp. 99?104 (2014).
22. 윤소영, 윤성대 (2017). 빅 데이터 처리 기법을 적용한 추천 시스템에 관한 연구. 한국정보통신학회논문지, 21(6), 1183-1190. https://doi.org/10.6109/JKIICE.2017.21.6.1183
23. Yehuda Koren. The bellkor solution to the netflix grand prize. Netflix prize documentation, 81, 2009.
24. Paul Covington, Jay Adams, and Emre Sargin. 2016. Deep neural networks for youtube recommendations. In sProceedings of the 10th ACM Conference on Recommender Systems. ACM, 191-198.