GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation

5 Jun 2020Aravind SankarYanhong WuYuhang WuWei ZhangHao YangHari Sundaram

We study the problem of making item recommendations to ephemeral groups, which comprise users with limited or no historical activities together. Existing studies target persistent groups with substantial activity history, while ephemeral groups lack historical interactions... (read more)

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