Craig Boutilier

Building Human Values into Recommender Systems: An Interdisciplinary Synthesis

2023 · ACM Transactions on Recommender Systems

Recommender systems are the algorithms which select, filter, and personalize content across many of the world's largest platforms and apps. As such, their positive and negative effects on individuals and on societies have been extensively …

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 …