Zhen Qin

Exposure-Based Reinforcement Learning to Rank

Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang

Reinforcement learning (RL) methods for learning-to-rank (LTR) can optimize (almost) any ranking goal, e.g., from precision or discounted cumulative gain to fairness-of-exposure or ranking distillation. However, standard RL is ineffective and computationally costly due to the eno…Read more