Eugene Ie

SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets

2019

Reinforcement learning methods for recommender systems optimize recommendations for long-term user engagement. However, since users are often presented with slates of multiple items---which may have interacting effects on user choice---methods are required to deal with …