机译:协同推荐系统中基于隐私保护和稀疏感知的位置预测方法
Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing, Jiangsu, Peoples R China|Nanjing Univ, State Key Lab Novel Software Technol, Nanjing, Jiangsu, Peoples R China;
Qufu Normal Univ, Sch Informat Sci & Engn, Jining, Peoples R China;
Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing, Jiangsu, Peoples R China;
Hangzhou Dianzi Univ, Dept Comp Sci, Hangzhou, Zhejiang, Peoples R China;
Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing, Jiangsu, Peoples R China;
Zhongnan Univ Econ & Law, Sch Informat & Safety Engn, Wuhan, Hubei, Peoples R China;
Location-aware recommendation; Privacy-preserving; Data sparsity; Tensor factorization;
机译:用于协作推荐系统的隐私保留和稀疏性感知位置的预测方法
机译:隐私保护协作推荐系统
机译:估计协作过滤推荐系统中各个收视预测的置信度
机译:迈向有效的隐私保留协作推荐系统
机译:协作过滤推荐系统的数据库管理系统支持。
机译:使用随机森林的隐私保护协作预测
机译:迈向高效的隐私保护协作推荐系统