233 citations · 531 across the 34 of their papers we have counts for
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cs.LG2021
What Users Want? WARHOL: A Generative Model for Recommendation
Jules Samaran, Ugo Tanielian, Romain Beaumont +1
Current recommendation approaches help online merchants predict, for each visiting user, which subset of their existing products is the most relevant. However, besides being intere…
cs.LG2021
Combining Reward and Rank Signals for Slate Recommendation
Imad Aouali, Sergey Ivanov, Mike Gartrell +4
We consider the problem of slate recommendation, where the recommender system presents a user with a collection or slate composed of K recommended items at once. If the user finds…