65 citations · 402 across the 43 of their papers we have counts for
4 papers · 1 filter
Learning from User Interactions with Rankings: A Unification of the Field
Harrie Oosterhuis
Ranking systems form the basis for online search engines and recommendation services. They process large collections of items, for instance web pages or e-commerce products, and pr…
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…
Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking
Harrie Oosterhuis, Maarten de Rijke
Counterfactual evaluation can estimate Click-Through-Rate (CTR) differences between ranking systems based on historical interaction data, while mitigating the effect of position bi…
Optimizing Interactive Systems via Data-Driven Objectives
Ziming Li, Julia Kiseleva, Alekh Agarwal +2
Effective optimization is essential for real-world interactive systems to provide a satisfactory user experience in response to changing user behavior. However, it is often challen…