다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기
Multimedia tools and applications, v.75 no.20, 2016년, pp.12843 - 12858
Hwang, Tae-Gyu , Park, Chan-Soo , Hong, Jeong-Hwa , Kim, Sung Kwon
AI-Helper
Collaborative filtering (CF), a technique used by recommendation systems, predicts and recommends items (information, products or services) that the user might like. Amazon.com's recommender system is one of the most famous examples of CF. Recommendation systems are popular in both commercial and re...
Bell RM, Koren Y, Volinsky C (2008) The Bellkor 2008 solution to the Netflix prize. Stat Res Dep AT&T Res
Breese JS, Heckerman D, Kadie C (1998) Empirical analysis of predictive algorithms for collaborative filtering. Proc 40th Conf Uncertain AI 1:43-52
ACM Trans Web F Cacheda 5 1 2011 10.1145/1921593 Cacheda F, Carneiro V, Fernández D, Formoso V (2011) Comparison of collaborative filtering algorithms: limitations of current techniques and proposals for scalable, high-performance recommender systems. ACM Trans Web 5:1-33. doi: 10.1145/1921593
Expert Syst Appl SM Choi 39 8079 2012 10.1016/j.eswa.2012.01.132 Choi SM, Ko SK, Han YS (2012) A movie recommendation algorithm based on genre correlations. Expert Syst Appl 39:8079-8085. doi: 10.1016/j.eswa.2012.01.132
10.1145/1099554.1099689 Ding Y, Li X (2005) Time weight collaborative filtering. Proc 14th ACM Int Conf Inf Knowl Manag. doi: 10.1145/1099554.1099689
10.1145/2554850.2555017 Edson B, Santos Jr, Rudinei Goularte, Marcelo G, Manzato G (2014) Personalized collaborative filtering: a neighborhood model based on contextual constraints. Proc 29th Annu ACM Symp Appl Comput 1:919-924. doi: 10.1145/2554850.2555017
ACM Trans Inf Syst JL Herlocker 22 5 2004 10.1145/963770.963772 Herlocker JL, Konstan JA, Terveen LG, Riedl JT (2004) Evaluating collaborative filtering recommender systems. ACM Trans Inf Syst 22:5-53. doi: 10.1145/963770.963772
Computer Y Koren 42 30 2009 10.1109/MC.2009.263 Koren Y, Bell R, Volinsky C (2009) Matrix factorization techniques for recommender systems. Computer 42:30-37. doi: 10.1109/MC.2009.263
Internet Comput IEEE G Linden 7 76 2003 10.1109/MIC.2003.1167344 Linden G, Smith B, York J (2003) Amazon.com recommendations: item-to-item collaborative filtering. Internet Comput IEEE 7:76-80. doi: 10.1109/MIC.2003.1167344
10.1145/371920.372071 Sarwar B, Karypis G, Konstan J, Riedl J (2001) Item-based collaborative filtering recommendation algorithms. Proc 10th Int Conf WWW 1:285-295. doi: 10.1145/371920.372071
Multimed Tools Appl M Soares 2014 10.1007/s11042-014-1950-1 Soares M, Viana P (2014) Tuning metadata for better movie content-based recommendation systems. Multimed Tools Appl. doi: 10.1007/s11042-014-1950-1
IC Wu 639 2013 Human interface and the management of information Wu IC, Niu YF (2013) Integrating the anchoring process with preference stability for interactive movie recommendations. In: Yamamoto S (ed) Human interface and the management of information. Springer, Berlin, pp 639-648
Web Intell Intell Agent Technol Q Zheng 1 702 2012 10.1109/WI-IAT.2012.70 Zheng Q, Horace HSIP (2012) Customizable surprising recommendation based on the tradeoff between genre difference and genre similarity. Web Intell Intell Agent Technol 1:702-709. doi: 10.1109/WI-IAT.2012.70
Copyright KISTI. All Rights Reserved.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.