【论文笔记】《Interact and decide: Medley of sub-attention networks for effective group recommendation》
SIGIR 2019 A会 模型结构： u、v分别是用户和项目的隐向量 c是用户的上下文向量 为群组gi中每个用户分配一个注意力子网络 以用户1为例 其注意力子网络的输入是c1和[u2,u3,…,un] 来刻画用户1和群组中其他用户相互交互的行为 输出是用户2到用户n的权重 对这些权重做softmax归一化： 通过加权求和得到用户1的注意力网络的输出gi,1 每个用户的输出gi,l再求
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相关文章
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