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
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: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
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