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机译:推荐系统中具有熵驱动用户相似性的协同过滤
Decision System and e-Service Intelligence Lab, Centre for Quantum Computation and Intelligence Systems, School of Software, Faculty of Engineering and Information Technology, University of Technology Sydney, Broadway, NSW, Australia;
Decision System and e-Service Intelligence Lab, Centre for Quantum Computation and Intelligence Systems, School of Software, Faculty of Engineering and Information Technology, University of Technology Sydney, Broadway, NSW, Australia;
Decision System and e-Service Intelligence Lab, Centre for Quantum Computation and Intelligence Systems, School of Software, Faculty of Engineering and Information Technology, University of Technology Sydney, Broadway, NSW, Australia;
机译:统一用户相似性和社交信任,使用基于合作的筛选推荐系统为智能城市生成强大的建议
机译:使用语义相似性和Web使用率挖掘来减轻基于用户的协作过滤推荐系统的弊端
机译:推荐系统的通用化:协作筛选扩展到用户组,并且仅限于项目组
机译:在协作过滤推荐系统中使用遗传算法测量用户之间的相似度值
机译:一种智能的自适应新闻推荐系统,使用改进的协作过滤进行用户配置。
机译:对用户评级偏好行为进行建模,以提高基于协作过滤的推荐系统的性能
机译:使用标签测量用户的语义相似性,以增强协作过滤推荐系统