Harrie Oosterhuis

2026

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Sample-Free Almost-Exact Estimation of Plackett-Luce Propensities for Off-Policy Ranking.
Norman Knyazev|Harrie Oosterhuis
Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part I

2025

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Rethinking Click Models in Light of Carousel Interfaces: Theory-Based Categorization and Design of Click Models.
Jingwei Kang|Maarten de Rijke|Santiago de Leon-Martinez|Harrie Oosterhuis
Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval, ICTIR 2025, Padua, Italy, 18 July 2025
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Adaptive Orchestration of Modular Generative Information Access Systems.
Mohanna Hoveyda|Harrie Oosterhuis|Arjen P. de Vries|Maarten de Rijke|Faegheh Hasibi
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
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Learning to Rank with Variable Result Presentation Lengths.
Norman Knyazev|Harrie Oosterhuis
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
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RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces.
Santiago de Leon-Martinez|Jingwei Kang|Róbert Móro|Maarten de Rijke|Branislav Kveton|Harrie Oosterhuis|Mária Bieliková
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
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Optimizing Compound Retrieval Systems.
Harrie Oosterhuis|Rolf Jagerman|Zhen Qin|Xuanhui Wang
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025

2024

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Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2024, Washington, DC, USA, 13 July 2024
International Conference on the Theory of Information Retrieval (ICTIR) 2024
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Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank.
Shashank Gupta|Harrie Oosterhuis|Maarten de Rijke
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
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Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank?
Lijun Lyu|Nirmal Roy|Harrie Oosterhuis|Avishek Anand
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part IV
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Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems.
Jin Huang|Harrie Oosterhuis|Masoud Mansoury|Herke van Hoof|Maarten de Rijke
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
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Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees.
Jingwei Kang|Maarten de Rijke|Harrie Oosterhuis
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
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Unbiased Learning to Rank: On Recent Advances and Practical Applications.
Shashank Gupta|Philipp Hager|Jin Huang|Ali Vardasbi|Harrie Oosterhuis
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024

2023

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Doubly Robust Estimation for Correcting Position Bias in Click Feedback for Unbiased Learning to Rank.
Harrie Oosterhuis
ACM Transactions on Information Systems (TOIS) 2023 Volume 41 Issue 3
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Recent Advancements in Unbiased Learning to Rank.
Shashank Gupta|Philipp K. Hager|Harrie Oosterhuis
Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, FIRE 2023, Panjim, India, December 15-18, 2023
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A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback.
Shashank Gupta|Harrie Oosterhuis|Maarten de Rijke
Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2023, Taipei, Taiwan, 23 July 2023
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Recent Advances in the Foundations and Applications of Unbiased Learning to Rank.
Shashank Gupta|Philipp Hager|Jin Huang|Ali Vardasbi|Harrie Oosterhuis
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
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Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization.
Shashank Gupta|Harrie Oosterhuis|Maarten de Rijke
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

2022

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The Bandwagon Effect: Not Just Another Bias.
Norman Knyazev|Harrie Oosterhuis
ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11 - 12, 2022
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Reaching the End of Unbiasedness: Uncovering Implicit Limitations of Click-Based Learning to Rank.
Harrie Oosterhuis
ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11 - 12, 2022
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State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study.
Jin Huang|Harrie Oosterhuis|Bunyamin Cetinkaya|Thijs Rood|Maarten de Rijke
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
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Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient Estimation with Minimal Computational Complexity.
Harrie Oosterhuis
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
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It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic.
Jin Huang|Harrie Oosterhuis|Maarten de Rijke
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

2021

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Session details: Session 4B - Semantic Retrieval.
Harrie Oosterhuis
ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Canada, July 11, 2021
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Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness.
Harrie Oosterhuis
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
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Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions.
Harrie Oosterhuis|Maarten de Rijke
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021
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Robust Generalization and Safe Query-Specializationin Counterfactual Learning to Rank.
Harrie Oosterhuis|Maarten de Rijke
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021.

2020

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Learning from user interactions with rankings: a unification of the field.
Harrie Oosterhuis
SIGIR Forum 2020 Volume 54 Issue 2
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When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank.
Ali Vardasbi|Harrie Oosterhuis|Maarten de Rijke
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020
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Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking.
Harrie Oosterhuis|Maarten de Rijke
ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Norway, September 14-17, 2020
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Policy-Aware Unbiased Learning to Rank for Top-k Rankings.
Harrie Oosterhuis|Maarten de Rijke
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020
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Unbiased Learning to Rank: Counterfactual and Online Approaches.
Harrie Oosterhuis|Rolf Jagerman|Maarten de Rijke
Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

2019

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Optimizing Ranking Models in an Online Setting.
Harrie Oosterhuis|Maarten de Rijke
Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I
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To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions.
Rolf Jagerman|Harrie Oosterhuis|Maarten de Rijke
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019.
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Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning.
Claudio Lucchese|Franco Maria Nardini|Rama Kumar Pasumarthi|Sebastian Bruch|Michael Bendersky|Xuanhui Wang|Harrie Oosterhuis|Rolf Jagerman|Maarten de Rijke
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019.

2018

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The Potential of Learned Index Structures for Index Compression.
Harrie Oosterhuis|J. Shane Culpepper|Maarten de Rijke
Proceedings of the 23rd Australasian Document Computing Symposium, ADCS 2018, Dunedin, New Zealand, December 11-12, 2018
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Differentiable Unbiased Online Learning to Rank.
Harrie Oosterhuis|Maarten de Rijke
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018
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Ranking for Relevance and Display Preferences in Complex Presentation Layouts.
Harrie Oosterhuis|Maarten de Rijke
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

2017

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Sensitive and Scalable Online Evaluation with Theoretical Guarantees.
Harrie Oosterhuis|Maarten de Rijke
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017
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Balancing Speed and Quality in Online Learning to Rank for Information Retrieval.
Harrie Oosterhuis|Maarten de Rijke
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017

2016

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Probabilistic Multileave Gradient Descent.
Harrie Oosterhuis|Anne Schuth|Maarten de Rijke
Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings
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Multileave Gradient Descent for Fast Online Learning to Rank.
Anne Schuth|Harrie Oosterhuis|Shimon Whiteson|Maarten de Rijke
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016

2015

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Probabilistic Multileave for Online Retrieval Evaluation.
Anne Schuth|Robert-Jan Bruintjes|Fritjof Buüttner|Joost van Doorn|Carla Groenland|Harrie Oosterhuis|Cong-Nguyen Tran|Bas Veeling|Jos van der Velde|Roger Wechsler|David Woudenberg|Maarten de Rijke
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015