-
GroupIM: A Mutual Information Maximization Framework for Neural Group Recomme...
We study the problem of making item recommendations to ephemeral groups, which comprise users who purchase very few (or no) items together. -
Recommendation task dataset
The dataset contains hundreds of millions of user records. Each one is a sequence of (itemId, pageId, time) tuples, recording the context under which a recommended item consumed...