128 citations · 523 across the 53 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.IR2020★ 65 cited
Unifying Online and Counterfactual Learning to Rank
Harrie Oosterhuis, Maarten de Rijke
Optimizing ranking systems based on user interactions is a well-studied problem. State-of-the-art methods for optimizing ranking systems based on user interactions are divided into…
cs.CL2020★ 3 cited
Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems
Ziming Li, Julia Kiseleva, Maarten de Rijke
Dialogue policy learning for task-oriented dialogue systems has enjoyed great progress recently mostly through employing reinforcement learning methods. However, these approaches h…
cs.LG2020★ 13 cited
Accelerated Convergence for Counterfactual Learning to Rank
Rolf Jagerman, Maarten de Rijke
Counterfactual Learning to Rank (LTR) algorithms learn a ranking model from logged user interactions, often collected using a production system. Employing such an offline learning…