[1]ADOMAVICIUS G,TUZHILIN A.Toward the next generation of recommender systems:a survey of the state-of-the-art and possible extensions[J].IEEE Transactions on Knowledge and Data Engineering,2005,17(6):734-749.br/
[2]LINDEN G,SMITH B,YORK J.Amazon.com recom-mendations:item-to-item collaborative filtering[J].IEEE Internet Computing,2003,7(1):76-80.br/
[3]KOREN Y,BELL R,VOLINSKY C.Matrix factorization techniques for recommender systems[J].Computer,2009,42(8):30-37.br/
[4]巫可,战荫伟,李鹰.融合用户属性的隐语义模型推荐算法[J].计算机工程,2016,42(12):171-175.br/
[5]陆艺,曹健.面向隐式反馈的推荐系统研究现状与趋势[J].计算机科学,2016,43(4):7-15.br/
[6]PAN R,ZHOU Y,CAO B,et al.One-class collaborative filtering[C]//Proceedings of the 8th IEEE International Conference on Data Mining.Washington D.C.,USA:IEEE Computer Society,2008:502-511.br/
[7]HU Y,KOREN Y,VOLINSKY C.Collaborative filtering for implicit feedback datasets[C]//Proceedings of the 8th IEEE International Conference on Data Mining.Washington D.C.,USA:IEEE Computer Society,2008:263-272.br/
(下转第223页)
(上接第217页)
[8]MARLIN B M,ZEMEL R S,ROWEIS S,et al.Collaborative filtering and the missing at random assumption[C]//Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence.[S.l.]:AUAI Press,2007:267-275.br/
[9]STECK H.Training and testing of recommender systems on data missing not at random[C]//Proceedings of the 16th ACM International Conference on Knowledge Discovery and Data Mining.New York,USA:ACM Press,2010:713-722.br/
[10]王智圣,李琪,汪静,等.基于隐式用户反馈数据流的实时个性化推荐[J].计算机学报,2016,39(1):52-64.br/
[11]王鹏,景丽萍.改进的单类协同过滤推荐方法[J].计算机科学与探索,2014,8(10):1231-1238.br/
[12]DEVOOGHT R,KOURTELLIS N,MANTRACH A.Dynamic matrix factorization with priors on unknown values[C]//Proceedings of the 21st ACM International Conference on Knowledge Discovery and Data Mining.New York,USA:ACM Press,2015:189-198.br/
[13]HE X,ZHANG H,KAN M Y,et al.Fast matrix factorization for online recommendation with implicit feedback[C]//Proceedings of the 39th ACM Inter-national Conference on Research and Development in Information Retrieval.New York,USA:ACM
Press,2016:549-558.br/
[14]KOREN Y.Collaborative filtering with temporal dynamics[J].Communications of the ACM,2010,53(4):89-97.br/
[15]CHUA F C T,OENTARYO R J,LIM E P.Modeling temporal adoptions using dynamic matrix factorization[C]//Proceedings of the 13th International Conference on Data Mining.Washington D.C.,USA:IEEE Press,2013:91-100.br/
[16]DIAZ-AVAILES E,DRUMOND L,SCHMIDT-THIEME L,et al.Real-time top-n recommendation in social streams[C]//Proceedings of the 6th ACM Conference on Recommender Systems.New York,USA:ACM Press,2012:59-66.br/
[17]VOLKOVS M,YU G W.Effective latent models for binary feedback in recommender systems[C]//Pro-ceedings of the 38th ACM International Conference on Research and Development in Information Retrieval.New York,USA:ACM Press,2015:313-322.br/
[18]OH J,PARK S,YU H,et al.Novel recommendation based on personal popularity tendency[C]//Proceedings of the 11th International Conference on Data Mining.Washington D.C.,USA:IEEE Press,2011:507-516.br/
[19]LAI S,LIU Y,GU H,et al.Hybrid recommendation models for binary user preference prediction problem[EB/OL].[2017-06-25].http://www.nlpr.ia.ac.cn/2011papers/gjhy/gh134.pdf.br/ |