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GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation

We study the problem of making item recommendations to ephemeral groups, which comprise users who purchase very few (or no) items together.

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Cite this as

Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram (2024). Dataset: GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. https://doi.org/10.57702/pwqsmvn5

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Additional Info

Field	Value
Created	December 17, 2024
Last update	December 17, 2024
Defined In	https://doi.org/10.1145/3397271.3401116
Author	Aravind Sankar
More Authors	Yanhong Wu Yuhang Wu Wei Zhang Hao Yang Hari Sundaram
Homepage	https://doi.org/10.1145/3397271.3401116