机译:基于多种媒体融合的跨域推荐
Zhejiang Key Laboratory of Service Robot, College of Computer Science, Zhejiang University, Hangzhou 310027, China;
Zhejiang Key Laboratory of Service Robot, College of Computer Science, Zhejiang University, Hangzhou 310027, China;
Zhejiang Key Laboratory of Service Robot, College of Computer Science, Zhejiang University, Hangzhou 310027, China;
Zhejiang Key Laboratory of Service Robot, College of Computer Science, Zhejiang University, Hangzhou 310027, China;
State Key Laboratory of CAD& CG, College of Computer Science. Zhejiang University, Hangzhou 310027, China;
Recommender systems; Cross domain; Topic modeling; Latent dirichlet allocation; Transfer learning;
机译:基于上下文隐式负反馈实现推荐系统的跨域框架
机译:基于多种功能的人类行为分析融合与von Nauman熵的特征减少
机译:面向媒体的跨域推荐方法
机译:融合主题模型转移学习跨域推荐
机译:跨域推荐中的典范相关性分析。
机译:融合(F)蛋白三聚体上影响F蛋白在介导细胞-细胞融合中的血凝素-神经氨酸酶特异性的域的鉴定
机译:使用基于图的排序对多种类型的相关对象进行个性化标签推荐