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

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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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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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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

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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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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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
2020 Volume 54 Issue 2

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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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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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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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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

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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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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

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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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

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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

2017

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Query-Level Ranker Specialization
Rolf Jagerman | Harrie Oosterhuis | Maarten de Rijke
Proceedings of the 1st International Workshop on LEARning Next gEneration Rankers co-located with the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017), Amsterdam, The Netherlands, October 1, 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

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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

2016

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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

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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

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

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