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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.

Data and Resources

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

DOI retrieved: December 17, 2024

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