参考文献
[1]马宏伟,张光卫,李鹏.协同过滤推荐算法综述[J].小型微型计算机系统,2009,30(7):1282-1288.
[2]孙冬婷,何涛,张福海.推荐系统中冷启动问题研究综述[J].计算机与现代化,2012,(5):59-62.
[3]Koren Y.Factorization Meets the Neighborhood:A Multifaceted Collaborative Filtering Model[C]//Pro-ceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.New York,USA:ACM Press,2008:426-434.
[4]罗辛,欧阳远新,熊璋.通过相似度支持度优化基于K近邻的协同过滤算法[J].计算机学报,2010,33(8):1437-1445.
[5]Luo Xin,Liu Huijun,Gou Gaopeng,et al.A Parallel Matrix Factorization Based Recommender by Alternating Stochastic Gradient Decent[J].Engineering Applications of Artificial Intelligence,2012,25(5):1403-1412.
[6]彭石,周志彬,王国军.基于评分矩阵预填充的协同过滤算法[J].计算机工程,2013,39(1):175-178.
[7]Wang Jun,de Vries A P,Reinders M J T.Unifying User-based and Item-based Collaborative Filtering Approaches by Similarity Fusion[C]//Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in
Information Retrieval.New York,USA:ACM Press,2006:501-508.
[8]黄创光,印鉴,汪静,等.不确定近邻的协同过滤推荐算法[J].计算机学报,2010,33(8):1369-1377.
[9]许智宏,王宝莹.基于项目综合相似度的协同过滤算法[J].计算机应用研究,2013,31(2):398-400.
[10]邢春晓,高凤荣,战思南,等.适应用户兴趣变化的协同过滤推荐算法[J].计算机研究与发展,2007,44(2):296-301.
[11]陈志敏,李志强.基于用户特征和项目属性的协同过滤推荐算法[J].计算机应用,2011,31(7):1748-1751.
[12]Baralis E,Garza P.Item Selection for Associative Classification[J].International Journal of Intelligent Systems,2012,27(3):279-299.
[13]韦素云,业宁,杨旭兵.结合项目类别和动态时间加权的协同过滤推荐算法[J].计算机工程,2014,40(6):206-210.
[14]Harald Steck.Item Popularity and Recommendation Accuracy[C]//Proceedings of the 5th ACM Conference on Recommender Systems.New York,USA:ACM Press,2011:125-132.
[15]沈键,杨煜普.基于滚动时间窗的动态协同过滤推荐模型及算法[J].计算机科学,2013,40(2):206-209.
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