62 citations · 68 across the 2 of their papers we have counts for
3 papers
Unbiased Learning to Rank: Counterfactual and Online Approaches
Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke
This tutorial covers and contrasts the two main methodologies in unbiased Learning to Rank (LTR): Counterfactual LTR and Online LTR. There has long been an interest in LTR from use…
To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions
Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke
Learning to Rank (LTR) from user interactions is challenging as user feedback often contains high levels of bias and noise. At the moment, two methodologies for dealing with bias p…
Modeling Label Ambiguity for Neural List-Wise Learning to Rank
Rolf Jagerman, Julia Kiseleva, Maarten de Rijke
List-wise learning to rank methods are considered to be the state-of-the-art. One of the major problems with these methods is that the ambiguous nature of relevance labels in learn…