Computer Science ›› 2018, Vol. 45 ›› Issue (6A): 465-470.
• Big Date & Date Mining • Previous Articles Next Articles
HE Ming,YANG Peng,YAO Kai-sheng,ZHANG Jiu-ling
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[1]ADOMAVICIUS G,TUZHILIN A.Toward the next generation of recommender systems:A survey of the state-of-the-art and possible extensions[C]∥Proceedings of the IEEE Transactions Knowledge and Data Engineering.2005:734-749.<br /> [2]L L,MEDO M,YEUNG C H,et al.Recommender systems[J].Physics Reports,2012,519(1):1-49.<br /> [3]SU X,KHOSHGOFTAAR T M.A survey of collaborative filtering techniques [J].Advances in Artificial Intelligence,2009,2009(12):4.<br /> [4]WEI C,HSU W,LEE M L.A unified framework for recommendationsbased on quaternary semantic analysis[C]∥Proceedings of the 34<sup>th</sup> International ACM SIGIR Conference on Research and Development InInformation Retrieval.Beijing,China,2011:1023-1032.<br /> [5]WANG L C,MENG X W,ZHANG Y J.Context-Aware recommender systems:A survey of the state-of-the-art and possible extensions[J].Journal of Software,2012,23(1):1-20.<br /> [6]LIN J,SUGIYAMA K,KAN M Y,et al.Addressing cold-start in apprecommendation:latent user models constructed from twitterfollowers[C]∥Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval.Dublin,Ireland,2013:283-292.<br /> [7]MISTRY O,SEN S.Tag recommendation for social book marking:Probabilistic approaches [J].Multiagent and Grid Systems,2012,8(2):143-163.<br /> [8]于洪,李俊华.一种解决新项目冷启动问题的推荐算法[J].软件学报,2015,26(6):1395-1408.<br /> [9]ZHANG Z K,ZHOU T,ZHANG Y C.Personalized recommendation via integrated diffusion on user-item-tag tripartite graphs[J].Physica A:Statistical Mechanics and its Applications,2010,389(1):179-186.<br /> [10]ZHANG Z K,LIU C,ZHANG Y C,et al.Solving the cold-start problem in recommender systems with social tags [J].EPL (Europhysics Letters),2010,92(2):28002.<br /> [11]ZHANG Z K,ZHOU T,ZHANG Y C.Tag-Aware recommender systems:A state-of-the-art survey [J].Journal of Computer Science and Technology,2011,26(5):767-777.<br /> [12]JOMSRI P,SANGUANSINTUKUL S,CHOOCHAIWATTA- NA W.A framework for tag-based research paper recommender system:An IR approach[C]∥Proceedings of the 2010 IEEE 24th Int’l Conf.on Advanced Information Networking and Applications Workshops.2010:103-108.<br /> [13]蔡强,韩东梅,李海生,等.基于标签和协同过滤的个性化资源推荐[J].计算机科学,2014,41(1):69-71,110.<br /> [14]李慧,马小平,胡云,等.融合主题与语言模型的个性化标签推荐方法研究[J].计算机科学,2015,42(8):70-74.<br /> [15]叶剑虹,叶双.基于混合模式的流媒体缓存调度算法[J].计算机科学,2013,40(2):61-64.<br /> [16]KIDEOK C,HAKYUNG J,et al.How can an ISP merge with a CDN?[J].IEEE Communications,2011,49(10):156-162.<br /> [17]李瑞敏,林鸿飞,闫俊.基于用户-标签-项目语义挖掘的个性化音乐推荐[J].计算机研究与发展,2014(10):2270-2276. |
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