1 citations · 1 across the 4 of their papers we have counts for
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Reducing Popularity Influence by Addressing Position Bias
Andrii Dzhoha, Alexey Kurennoy, Vladimir Vlasov +1
Position bias poses a persistent challenge in recommender systems, with much of the existing research focusing on refining ranking relevance and driving user engagement. However, i…
Building a Scalable, Effective, and Steerable Search and Ranking Platform
Marjan Celikik, Jacek Wasilewski, Ana Peleteiro Ramallo +7
Modern e-commerce platforms offer vast product selections, making it difficult for customers to find items that they like and that are relevant to their current session intent. Thi…
A General Framework for Pairwise Unbiased Learning to Rank
Alexey Kurennoy, John Coleman, Ian Harris +3
Pairwise debiasing is one of the most effective strategies in reducing position bias in learning-to-rank (LTR) models. However, limiting the scope of this strategy, are the underly…