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cs.LG2023★ 14 cited
Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay
Thomas M. McDonald, Lucas Maystre, Mounia Lalmas +2
Recommender systems are a ubiquitous feature of online platforms. Increasingly, they are explicitly tasked with increasing users' long-term satisfaction. In this context, we study…
cs.LG2020★ 47 cited
Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions
James McInerney, Brian Brost, Praveen Chandar +2
Users of music streaming, video streaming, news recommendation, and e-commerce services often engage with content in a sequential manner. Providing and evaluating good sequences of…