Exploit latent Dirichlet allocation for collaborative filtering

查看全文 作　　者：Zhoujun [1]LI;Haijun [1,2]ZHANG;Senzhang [3,4]WANG;Feiran [1]HUANG;Zhenping [2]LI;Jianshe [5]ZHOU 机构地区：[1]State Key Laboratory of Software Development Environment, Beihang University, Beijing 100191, China;[2]School of Information, Beijing Wuzi University, Beijing 101149, China;[3]College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;[4]Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing 211106, China;[5]Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China 出　　处：《Frontiers of Computer Science》索引2018年第12卷第3期,共11页 基　　金：We greatly appreciate Weike Pan for his codes of algorithm GBPR[1], which makes us able to evaluate the algorithm more efficiently and more fairly. This work was supported by the National Natural Science Foundation of China (NSFC) (Grant Nos. 61370126, 61672081, 71540028, 61571052, 61602237), National High-tech R&D Program of China (2015AA016004), Beijing Advanced Innovation Center for Imaging Technology (BAICIT-2016001), the Fund of the State Key Laboratory of Software Development Environment (SKLSDE-2013ZX-19), the Fund of Beijing Social Science (14JGC103), the Statistics Research Project of National Bureau (2013LY055), and the Fund of Beijing Wuzi University, China (GJB20141002). 关 键 词：DIRICHLET 合作 过滤 分配 反馈矩阵 内容信息 基于内容 用户级