...
机译:通过自适应矩阵分解进行运行时服务适配的在线QoS预测
Shenzhen Research Institute and Department of Computer Science & Engineering, The Chinese University of Hong Kong, Sha Tin, Hong Kong;
Shenzhen Research Institute and Department of Computer Science & Engineering, The Chinese University of Hong Kong, Sha Tin, Hong Kong;
School of Data and Computer Science and Guangdong Key Laboratory of Big Data Analysis and Processing, Sun Yat-sen University, Guangzhou, China;
Shenzhen Research Institute and Department of Computer Science & Engineering, The Chinese University of Hong Kong, Sha Tin, Hong Kong;
Quality of service; Runtime; Cloud computing; Collaboration; Service-oriented architecture; Time factors;
机译:NDMF:服务QoS预测的邻域集成的深矩阵分解
机译:基于邻域增强矩阵分解的云制造服务QoS预测
机译:从信誉角度来看:位置感知移动服务推荐系统中用于QoS预测的混合矩阵分解
机译:面向在线,准确和可扩展的QoS预测,以进行运行时服务调整
机译:语言模型自适应的非负矩阵分解方法。
机译:基于区块链的矩阵分解的Web服务个性化QoS预测方法
机译:基于网络服务在线学习矩阵分解的个性化和准确的QoS预测方法
机译:为TaO添加Qos动态适应服务以实现及时性,高可用性和数据管理